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22 pages, 20678 KiB  
Article
Three-Dimensional Phenotyping Pipeline of Potted Plants Based on Neural Radiation Fields and Path Segmentation
by Xinghui Zhu, Zhongrui Huang and Bin Li
Plants 2024, 13(23), 3368; https://doi.org/10.3390/plants13233368 (registering DOI) - 29 Nov 2024
Abstract
Precise acquisition of potted plant traits has great theoretical significance and practical value for variety selection and guiding scientific cultivation practices. Although phenotypic analysis using two dimensional(2D) digital images is simple and efficient, leaf occlusion reduces the available phenotype information. To address the [...] Read more.
Precise acquisition of potted plant traits has great theoretical significance and practical value for variety selection and guiding scientific cultivation practices. Although phenotypic analysis using two dimensional(2D) digital images is simple and efficient, leaf occlusion reduces the available phenotype information. To address the current challenge of acquiring sufficient non-destructive information from living potted plants, we proposed a three dimensional (3D) phenotyping pipeline that combines neural radiation field reconstruction with path analysis. An indoor collection system was constructed to obtain multi-view image sequences of potted plants. The structure from motion and neural radiance fields (SFM-NeRF) algorithm was then utilized to reconstruct 3D point clouds, which were subsequently denoised and calibrated. Geometric-feature-based path analysis was employed to separate stems from leaves, and density clustering methods were applied to segment the canopy leaves. Phenotypic parameters of potted plant organs were extracted, including height, stem thickness, leaf length, leaf width, and leaf area, and they were manually measured to obtain the true values. The results showed that the coefficient of determination (R2) values, indicating the correlation between the model traits and the true traits, ranged from 0.89 to 0.98, indicating a strong correlation. The reconstruction quality was good. Additionally, 22 potted plants were selected for exploratory experiments. The results indicated that the method was capable of reconstructing plants of various varieties, and the experiments identified key conditions essential for successful reconstruction. In summary, this study developed a low-cost and robust 3D phenotyping pipeline for the phenotype analysis of potted plants. This proposed pipeline not only meets daily production requirements but also advances the field of phenotype calculation for potted plants. Full article
16 pages, 6463 KiB  
Article
Faba Bean Extracts Allelopathically Inhibited Seed Germination and Promoted Seedling Growth of Maize
by Bo Li, Enqiang Zhou, Yao Zhou, Xuejun Wang and Kaihua Wang
Agronomy 2024, 14(12), 2857; https://doi.org/10.3390/agronomy14122857 - 29 Nov 2024
Abstract
Allelopathic interactions between crops in an intercropping system can directly affect crop yields. Faba beans may release allelochemicals to the cropping system. However, the allelopathic effects in the faba bean–maize relay intercropping system are still unclear. Maize seeds and seedlings were treated with [...] Read more.
Allelopathic interactions between crops in an intercropping system can directly affect crop yields. Faba beans may release allelochemicals to the cropping system. However, the allelopathic effects in the faba bean–maize relay intercropping system are still unclear. Maize seeds and seedlings were treated with a 50 mL of 100 g L−1 faba bean leaf extract (L1), 150 g L−1 faba bean leaf extract (L2), 100 g L−1 faba bean stem extract (S1), or 150 g L−1 faba bean stem extract (S2) and sterile water (CK) to study the allelopathic effects of faba bean extracts on maize seed germination and seedling growth. The α-amylase activities, antioxidant enzyme activities, phytohormones and allelochemical content in maize seeds were determined to evaluate the allelopathic effects of faba bean extracts on maize seed germination. The agronomic traits, photosynthetic parameters and nutrient absorption characteristics of maize seedlings were determined to explore the allelopathic effects of faba bean extracts on maize seedling growth. High-concentration (150 g L−1) faba bean stem extracts released allelochemicals, such as 4-hydroxybenzoic acid, hydrocinnamic acid, trans-cinnamic acid, and benzoic acid. These allelochemicals entered the interior of maize seeds and increased the abscisic acid, salicylic acid and indole-3-acetic acid content in maize seeds but decreased the aminocyclopropane carboxylic acid in maize seeds. High-concentration (150 g L−1) faba bean stem extracts increased the superoxide dismutase and peroxidase activity and decreased the α-amylase activity in maize seeds at germination (36 h). Faba bean extracts released nitrogen, potassium and phosphorus and increased nitrogen content, phosphorus content, potassium content and photosynthesis of maize seedling. In summary, faba bean extracts released allelochemicals that inhibited the germination of maize seeds but released nutrients and promoted the growth and development of maize seedlings. The research results provide a basis for improving the Faba bean–maize relay strip intercropping. Full article
(This article belongs to the Section Agricultural Biosystem and Biological Engineering)
Show Figures

Figure 1

Figure 1
<p>Maize seedlings in control (<b>CK</b>) and (<b>L2)</b> treatment (150 g L<sup>−1</sup> faba bean leaf extract) at 21 d.</p>
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<p>The phytohormones content in maize seeds treated by faba bean extracts. (<b>A</b>) Abscisic acid, (<b>B</b>) aminocyclopropane carboxylic acid, (<b>C</b>) brassinolide, (<b>D</b>) gibberellin A1, (<b>E</b>) indole-3-acetic acid, (<b>F</b>) methyl jasmonate, (<b>G</b>) N6-(delta2-Isopentenyl) adenine, (<b>H</b>) N6-(delta2-Isopentenyl) adenosine, (<b>I</b>) salicylic acid. S2 maize seeds treated by 150 g L<sup>−1</sup> of faba bean stem extracts; CK, maize seeds treated by sterile water. Lowercase letters above the bar indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>The germination rate, α-amylase activity, SOD, CAT, POD activity and MDA content in maize seeds treated by faba bean extracts. (<b>A</b>) Germination rate of maize seeds treated by faba bean extracts, (<b>B</b>) SOD activity, (<b>C</b>) CAT activity, (<b>D</b>) α-amylase, (<b>E</b>) CAT activity, (<b>F</b>) MDA content. L1, maize seeds treated by 100 g L<sup>−1</sup> faba bean leaf extracts; L2, maize seeds treated by 150 g L<sup>−1</sup> faba bean leaf extracts; S1, maize seeds treated by 100 g L<sup>−1</sup> faba bean stem extracts; S2 maize seeds treated by 150 g L<sup>−1</sup> faba bean stem extracts; CK, maize seeds treated by sterile water. Lowercase letters above the bar indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Maize seed structure and amylolytic degradation in maize endosperm cells. (<b>A</b>,<b>C</b>,<b>E</b>) CK, (<b>B</b>,<b>D</b>,<b>F</b>) maize seeds treated by faba bean stem extracts (S2); AL, aleurone layer; Em, embryo; SG, starch granules; SE, starch endosperm; (<b>C</b>,<b>D</b>) structure in the central position of the endosperm; (<b>E</b>,<b>F</b>) structure in the surface powder layer.</p>
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<p>Nitrogen, phosphorus and potassium content in maize seedling and faba bean extracts. (<b>A</b>) Nitrogen content in maize seedling, (<b>B</b>) phosphorus content in maize seedling, (<b>C</b>) potassium content in maize seedling. (<b>D</b>) Nitrogen content in faba bean extracts, (<b>E</b>) pohosphorus content in faba bean extracts, (<b>F</b>) potassium content in faba bean extracts. L1, maize seedlings treated by 100 g L<sup>−1</sup> faba bean leaf extracts; L2, maize seedlings treated by 150 g L<sup>−1</sup> faba bean leaf extracts; S1, maize seedlings treated by 100 g L<sup>−1</sup> faba bean stem extracts; S2 maize seedlings treated by 150 g L<sup>−1</sup> faba bean stem extracts; CK, maize seeds treated by sterile water. Lowercase letters above the bar indicate significant differences (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Venn diagrams, heat map of genes and GO enrichment analysis of differentially expressed genes. (<b>A</b>) Venn diagrams of CK and L2 at germination 36 h, (<b>B</b>) Venn diagrams of CK and L2 at growth 21 d. Numbers in a single-shaded region indicate sample-specific genes, while those in a double-shaded region show the overlap genes. (<b>C</b>) Heat map of genes related to antioxidant enzymes, gibberellin in CK and S2, (<b>D</b>) heat map of genes photosynthesis and nutrient absorption in CK and L2.</p>
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<p>Proposed model of faba bean extracts inhibited germination of maize seeds.</p>
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18 pages, 4987 KiB  
Article
Putative Allele of D10 Gene Alters Rice Tiller Response to Nitrogen
by Tamanna Islam Rimi, Meirong Zhang, Ruixin Zhang, Zhe Zhang, Xueyu Leng, Jiafang Han, Sihan Meng, Wen Du and Zhongchen Zhang
Plants 2024, 13(23), 3349; https://doi.org/10.3390/plants13233349 - 29 Nov 2024
Viewed by 158
Abstract
The number of tillers in rice significantly affects final yield, making it a key trait for breeding and nitrogen-efficient cultivation. By investigating agronomic characteristics, we analyzed phenotypic differences between the wild-type P47-1 and the mutant p47dt1, performing genetic analysis and gene mapping [...] Read more.
The number of tillers in rice significantly affects final yield, making it a key trait for breeding and nitrogen-efficient cultivation. By investigating agronomic characteristics, we analyzed phenotypic differences between the wild-type P47-1 and the mutant p47dt1, performing genetic analysis and gene mapping through population construction and BSA sequencing. The p47dt1 mutant, exhibiting dwarfism and multiple tillering, is controlled by a single gene, P47DT1, which is tightly linked to D10. A single base mutation (T to G) on chromosome 1 alters methionine to arginine, supporting D10 as the candidate gene for p47dt1. To investigate nitrogen response in tillering, KY131 (nitrogen-inefficient) and KY131OsTCP19-H (nitrogen-efficient) materials differing in TCP19 expression levels were analyzed. Promoter analysis of D10 identified TCP19 as a nitrogen-responsive transcription factor, suggesting D10’s potential role in a TCP19-mediated nitrogen response pathway. Further analysis of P47-1, p47dt1, KY131, and KY131OsTCP19-H under different nitrogen concentrations revealed p47dt1’s distinct tiller response to nitrogen, altered nitrogen content in stems and leaves, and changes in TCP19 expression. Additionally, D10 and TCP19 expression levels were lower in KY131OsTCP19-H than KY131 under identical conditions. In summary, P47DT1/D10 appears to modulate nitrogen response and distribution in rice, affecting tiller response, possibly under TCP19’s regulatory influence. Full article
(This article belongs to the Special Issue Crop Functional Genomics and Biological Breeding)
Show Figures

Figure 1

Figure 1
<p>Phenotypes of P47-1 and <span class="html-italic">p47dt1.</span> (<b>a</b>) Seedling phenotypes of P47-1 and <span class="html-italic">p47dt1</span>, with a scale of 2 cm; (<b>b</b>) tiller stage phenotypes of P47-1and <span class="html-italic">p47dt1</span>, with a scale of 10 cm; (<b>c</b>) grain phenotypes of P47-1 and <span class="html-italic">p47dt1</span>, with a scale of 1 cm.</p>
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<p>Distribution map of Chromosome SNP-index. The abscissa is the chromosome name, the colored dots represent the calculated SNP-index (or ΔSNP-index) value, and the black line is the fitted SNP-index (or ΔSNP-index) value. The upper picture is the distribution of SNP-index values in the F<sub>2</sub>M pool; the middle picture is the distribution of SNP-index values in the F<sub>2</sub>W pool; the lower picture is the distribution of ΔSNP-index values, in which the red lines represent 99 percent, respectively. Threshold line for digits.</p>
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<p>Sequencing analysis of mutation sites in wild-type and mutant and their progeny populations. In figure (<b>a</b>), a-b is the mutation site sequence of P47-1; c-d is the mutation site sequence of <span class="html-italic">p47dt1</span>; e–m is the mutation site sequence of the <span class="html-italic">p47dt1</span> phenotype in the F<sub>2</sub> population; n–p is the mutation site of the P47-1 phenotype in the F<sub>2</sub> population Point sequence. (<b>b</b>) Shows the mutation site sequence and peak plot of P47-1; the lower figure shows the mutation site sequence and peak plot of <span class="html-italic">p47dt1</span>. The blue squares indicate the positions of mutation sites in the sequences, while the red squares highlight the corresponding peaks in the plot that represent these mutations.</p>
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<p>Tiller number and its difference between P47-1 and <span class="html-italic">p47dt1</span> under different nitrogen concentrations. (<b>a</b>–<b>c</b>) Tiller number of P47-1 and <span class="html-italic">p47dt1</span> in different periods under low nitrogen (5 g/m<sup>2</sup>), normal nitrogen (10 g/m<sup>2</sup>) and high nitrogen (15 g/m<sup>2</sup>) treatments. The tiller number was measured at different time points (7 to 91 days) after transplanting. Error bars represent the standard error of the mean (SEM) from three biological replicates.</p>
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<p>Effective panicles (the panicles that successfully produce grains, excluding sterile or empty panicles) of P47-1 and <span class="html-italic">p47dt1</span> under different nitrogen concentrations. Different lowercase letters on the same bar chart indicate significant differences at the 0.05 level. LN represents low nitrogen treatment (5 g/m<sup>2</sup>), MN represents normal nitrogen treatment (10 g/m<sup>2</sup>), and HN represents high nitrogen treatment (15 g/m<sup>2</sup>), as below.</p>
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<p>Number of solid grains of P47-1 and <span class="html-italic">p47dt1</span> under different nitrogen concentrations. Different lowercase letters on the same bar chart indicate significant differences at the 0.05 level. LN represents low nitrogen treatment (5 g/m<sup>2</sup>), MN represents normal nitrogen treatment (10 g/m<sup>2</sup>), and HN represents high nitrogen treatment (15 g/m<sup>2</sup>).</p>
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<p>Grain weight per plant for P47-1 and <span class="html-italic">p47dt1</span> under different nitrogen concentrations. Different lowercase letters on the same bar chart indicate significant differences at the 0.05 level. LN represents low nitrogen treatment (5 g/m<sup>2</sup>), MN represents normal nitrogen treatment (10 g/m<sup>2</sup>), and HN represents high nitrogen treatment (15 g/m<sup>2</sup>).</p>
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<p>Phenotypic comparison of P47-1and <span class="html-italic">p47dt1</span> under hydroponic treatment with different nitrogen conditions. (<b>a</b>) Plant height of P47-1 and <span class="html-italic">p47dt1</span> under different nitrogen treatments; (<b>b</b>) tiller number of P47-1 and <span class="html-italic">p47dt1</span> under different nitrogen conditions. The scales in Figures (<b>a</b>,<b>b</b>) are 15 cm. Different lowercase letters on the same bar chart indicate significant differences at the 0.05 level. L-NO represents 0.2 mM potassium nitrate treatment, H-NO represents 1.5 mM potassium nitrate treatment, L-NH represents 0.2 mM ammonium chloride treatment, H-NH represents 1.5 mM ammonium chloride treatment, L-NN represents 0.2 mM ammonium nitrate treatment, and H-NN represents 1.5 mM ammonium nitrate treatment.</p>
Full article ">Figure 9
<p>Nitrogen content of P47-1 and <span class="html-italic">p47dt1</span> under different nitrogen conditions. (<b>a</b>) Comparison of nitrogen content in stems and leaves of wild type P47-1 under different nitrogen conditions; (<b>b</b>) comparison of nitrogen contents in stems and leaves of mutant <span class="html-italic">p47dt1</span> under different nitrogen conditions. Different lowercase letters on the same bar chart indicate significant differences at the 0.05 level. L-NO represents 0.2 mM potassium nitrate treatment, H-NO represents 1.5 mM potassium nitrate treatment, L-NH represents 0.2 mM ammonium chloride treatment, H-NH represents 1.5 mM ammonium chloride treatment, L-NN represents 0.2 mM ammonium nitrate treatment, and H-NN represents 1.5 mM ammonium nitrate treatment.</p>
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<p>The target sequence of TCP19 and the putative binding position on the <span class="html-italic">D10</span> promoter. Here TFBS represents Transcription Factor Binding Site. The TFBS Information visualizes the motif recognized by a particular transcription factor, identified by a matrix (TFmatrixID_0424), with the sequence “GGCCCAC”. This shows the binding motif that the transcription factor is likely to interact with in the genome. Blue highlights indicate the regions of the promoter where TCP19 is predicted to bind, while red highlights indicate regions where the transcription factor may have a stronger binding affinity. The figure also illustrates the position of the binding motif in the genome.</p>
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<p>Relative expressions of <span class="html-italic">D10</span> in P47-1 and <span class="html-italic">p47dt1</span> under different nitrogen conditions. (<b>a</b>) Relative expressions of <span class="html-italic">D10</span> of P47-1 and <span class="html-italic">p47dt1</span> treated with potassium nitrate of 0.2 mM and potassium nitrate of 1.5 mM; (<b>b</b>) relative expressions of <span class="html-italic">D10</span> of P47-1 and <span class="html-italic">p47dt1</span> treated with 0.2 mM ammonium chloride and 1.5 mM ammonium chloride; (<b>c</b>) relative expressions of <span class="html-italic">D10</span> of P47-1 and <span class="html-italic">p47dt1</span> treated with 0.2 mM ammonium nitrate and 1.5 mM ammonium nitrate. Data are mean ± standard deviation (<span class="html-italic">n</span> = 10); student’s <span class="html-italic">t</span>-test, * means significant at 0.05 level; ** means significant at 0.01 level; *** means extremely significant at 0.001 level; ns means no significant difference.</p>
Full article ">Figure 12
<p>Relative expressions of <span class="html-italic">D10</span> in KY131 and KY131<sup>OsTCP19-H</sup> under different nitrogen conditions. (<b>a</b>) Relative expressions of <span class="html-italic">D10</span> of KY131 and KY131<sup>OsTCP19-H</sup> treated with potassium nitrate of 0.2 mM and 1.5 mM; (<b>b</b>) relative expressions of <span class="html-italic">D10</span> of KY131 and KY131<sup>OsTCP19-H</sup> treated with 0.2 mM ammonium chloride and 1.5 mM ammonium chloride; (<b>c</b>) relative expressions of <span class="html-italic">D10</span> of KY131 and KY131<sup>OsTCP19-H</sup> treated with 0.2 mM ammonium nitrate and 1.5 mM ammonium nitrate. Data are mean ± standard deviation <span class="html-italic">(n</span> = 10); student’s <span class="html-italic">t</span>-test, * means significant at 0.05 level; ** means significant at 0.01 level; ns means no significant difference.</p>
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<p>A proposed model for <span class="html-italic">D10</span> in TCP19-mediated tiller development response to nitrogen. The diagram shows the nitrogen response pathway influencing rice tillering. TCP19 represents a transcription factor that regulates tiller formation in response to nitrogen. DLT (Dwarf and Low-Tillering transcription factor involved in brassinosteroid (BR) signaling, essential for regulating cell growth and tillering), SL (strigolactones), (BR) brassinosteroid.</p>
Full article ">
25 pages, 2751 KiB  
Article
Analysis of Chemical Traits of Pollen from Nine Ericaceous Species in Southwestern China
by Xiaoyue Wang, Jianghu Wang, Shunyu Wang, Yang Li, Haifeng Xu, Yin Yi and Xiaoxin Tang
Horticulturae 2024, 10(12), 1262; https://doi.org/10.3390/horticulturae10121262 - 28 Nov 2024
Viewed by 238
Abstract
Chemical traits (primary and secondary metabolites) are important features of plants. An increasing number of studies have focused on the ecological significance of secondary metabolites in plant parts, especially in pollen. Ericaceae species exhibit significant morphological variations and diverse colors, are widely distributed [...] Read more.
Chemical traits (primary and secondary metabolites) are important features of plants. An increasing number of studies have focused on the ecological significance of secondary metabolites in plant parts, especially in pollen. Ericaceae species exhibit significant morphological variations and diverse colors, are widely distributed throughout China and are popular ornamental garden plants. The chemical trait of pollen in Ericaceae species and their potential ecological significance remain unclear. We selected a total of nine Ericaceae species from three nature reserves in southwestern China, which were the predominant flowering Ericaceae plants for each site, and measured their floral characteristics, nectar volume and sugar concentration. We determined the types of pollinators of these species based on a literature review and used UPLC-QTOF-MS to analyze the types and relative contents of primary metabolites (amino acids and fatty acids) and secondary metabolites (terpenoids, phenolics and nitrogenous compounds) in the pollen and other tissues, including the stems, leaves, petals and nectar. The results showed that each species exhibited unique floral characteristics. Enkianthus ruber, Pieris formosa, Rhododendron agastum, R. irroratum, R. virgatum and R. rubiginosum were pollinated by bees, and R. delavayi, R. decorum and R. excellens were pollinated by diverse animals (bees, birds and Lepidoptera). The pollen of these Ericaceae species was rich in phenolics and terpenoids, especially flavonoids. Grayanotoxin, andromedotoxin and asebotin (toxic diterpene compounds) were also detected in the pollen of some of the Ericaceae species in our study, and their response value was low. The relative contents and diversity of secondary metabolites in the pollen were higher than those in the nectar but lower than those in the leaves, petals and stems. The five chemical compounds with the highest content (four flavonoids, one triterpene) in the pollen were also detected in the stems, leaves and petals, and the response value of most of these chemicals in pollen was not significantly correlated with that in other tissues. Rhododendron species has a closer relationship with chemical traits in pollen compared with Enkianthus and Pieris species. The response value of total secondary metabolites in the pollen of species pollinated only by bees was higher than that of species pollinated by diverse animals. Our research indicates that the pollen of ericaceous species contains a wide array of metabolites, establishing a foundation for advancing the nutritional potential of the pollen of horticultural ericaceous species and deepening our understanding of its chemical and ecological significance. Full article
(This article belongs to the Section Floriculture, Nursery and Landscape, and Turf)
Show Figures

Figure 1

Figure 1
<p>Inflorescences of nine Ericaceae species showing diverse floral morphology: (<b>A</b>) <span class="html-italic">Enkianthus ruber</span>, (<b>B</b>) <span class="html-italic">Pieris formosa</span>, (<b>C</b>) <span class="html-italic">Rhododendron agastum</span>, (<b>D</b>) <span class="html-italic">R. delavayi</span>, (<b>E</b>) <span class="html-italic">R. decorum</span>, (<b>F</b>) <span class="html-italic">R. irroratum</span>, (<b>G</b>) <span class="html-italic">R. excellens</span>, (<b>H</b>) <span class="html-italic">R. virgatum</span>, (<b>I</b>) <span class="html-italic">R. rubiginosum</span>; measurement of floral characteristics (<b>J</b>) of nine Ericaceae species (<span class="html-italic">R. rubiginosum</span> as an example) a: corolla length, b: corolla width, c: tube length, d: floral opening diameter, e: pistil length, f: stamens length, g: anther length, h: anther width, i: anther thickness, j: stigma length, k: stigma width, l: stigma thickness. Honeybee (<span class="html-italic">Apis</span>, (<b>K</b>)) and bumblebee (<span class="html-italic">Bombus</span>, (<b>L</b>)) pollinated <span class="html-italic">Enkianthus ruber</span>. Two different bumblebees (<b>M</b>,<b>N</b>) pollinated <span class="html-italic">Pieris formosa</span>. The <span class="html-italic">E. ruber</span>, <span class="html-italic">P. formosa</span>, <span class="html-italic">R. agastum</span>, <span class="html-italic">R. irroratum</span>, <span class="html-italic">R. virgatum</span>, <span class="html-italic">R. rubiginosum</span> were pollinated only by bees (bumblebees and honeybees). <span class="html-italic">R. delavayi</span>, <span class="html-italic">R. decorum</span>, <span class="html-italic">R. excellens</span> were pollinated not only by bees but also by other animals (birds and Lepidoptera).</p>
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<p>Non-metric multi-dimensional scaling-based ordination of Bray–Curtis distances of floral traits among <span class="html-italic">Enkianthus ruber</span>, <span class="html-italic">Pieris formosa</span>, <span class="html-italic">Rhododendron agastum</span>, <span class="html-italic">R. decorum</span>, <span class="html-italic">R. delavayi</span>, <span class="html-italic">R. excellens</span>, <span class="html-italic">R. irroratum</span>, <span class="html-italic">R. rubiginosum</span>, <span class="html-italic">R. virgatum</span>. Samples clustered strongly by species. Ellipses show 95% confidence bands for floral traits (dotted line). Colors indicate different species. Ordinations are based on the floral traits of corolla length, corolla width, floral tube length, flower opening diameter, pistil length, stamen length, anther length, anther width and anther depth, stigma length, stigma width and stigma depth.</p>
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<p>The peak chromatogram of stem, leaf, petal, pollen and nectar of <span class="html-italic">Pieris formosa</span> analyzed with UPLC-Qtof-MS. Different color indicate different plant tissure.</p>
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<p>Number of chemical compounds (mean, (<b>A</b>)) and response intensity values of chemical compounds (mean, (<b>B</b>)) in the stem, leaf, petal, pollen and nectar for all the nine Ericaceae species. The chemical compounds include amino acids (in light blue), fatty acids (in orange), terpenoids (in gray), phenolics (in yellow) and nitrogenous compounds (in deep blue).</p>
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<p>Heat map cluster analysis of chemical value of response intensity in pollen 496 of <span class="html-italic">Enkianthus ruber</span> and <span class="html-italic">Pieris formosa</span> (in open bar); <span class="html-italic">Rhododendron</span> species (<span class="html-italic">R. agastum</span>, <span class="html-italic">R. delavayi</span>, <span class="html-italic">R. decorum</span>, <span class="html-italic">R. irroratum</span>, <span class="html-italic">R. excellens</span>, <span class="html-italic">R. virgatum</span>, <span class="html-italic">R. rubiginosum</span>, in black) after UPLC-Qtof-MS analysis. For the heat map cluster analysis, high and low abundance are indicated by red and blue colors. The numbers 1–79 represent chemical names, which are shown in <a href="#horticulturae-10-01262-t002" class="html-table">Table 2</a>.</p>
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<p>Comparison of value of response intensity of pollen of <span class="html-italic">R. irroratum</span>, <span class="html-italic">R. agastum</span> and <span class="html-italic">R. delavayi</span> in Baili Rhododendron Natural reserves. The value of response intensity of pollen of <span class="html-italic">R. rubiginosum</span>, <span class="html-italic">R. decorm</span> and <span class="html-italic">R. virgatum</span> in Cangshan Natural Reserve. The value of response intensity of secondary metabolites in pollen for <span class="html-italic">P. formosa</span>, <span class="html-italic">E. ruber</span> and <span class="html-italic">R. excellens</span> in Laoshan Natural reserves. Bee-pollinated species are in open bars and diverse animal-pollinated species are in grey bars. Different words above the bars indicate significant differences among species. The number in the bar represents the number of pollen samples for each treatment.</p>
Full article ">
12 pages, 341 KiB  
Article
Agromorphological Evaluation of Elite Lines of Native Tomato (Solanum lycopersicum L.) from Central and Southern Mexico
by María Concepción Valencia-Juárez, Enrique González-Pérez, Salvador Villalobos-Reyes, Carlos Alberto Núñez-Colín, Jaime Canul-Ku, José Luis Anaya-López, Elizabeth Chiquito-Almanza and Ricardo Yáñez-López
Agronomy 2024, 14(12), 2829; https://doi.org/10.3390/agronomy14122829 - 27 Nov 2024
Viewed by 284
Abstract
Tomato (Solanum lycopersicum L.) is one of the most important cultivated vegetables in the world. However, in some countries such as Mexico the lack of cultivars adapted to different environmental production conditions is a limitation. Moreover, recent studies have indicated that breeding [...] Read more.
Tomato (Solanum lycopersicum L.) is one of the most important cultivated vegetables in the world. However, in some countries such as Mexico the lack of cultivars adapted to different environmental production conditions is a limitation. Moreover, recent studies have indicated that breeding aimed at increasing yield has led to a loss of genetic diversity. Therefore, it is necessary to explore and characterize new sources of germplasms. This study aimed to characterize new sources of germplasm and identify the most transcendental traits for distinguishing tomato types and lines that are useful for the genetic improvement of the species. Sixty characters were evaluated in 16 advanced lines of native tomatoes from Central and Southern Mexico during the fall–winter cycles 2023–2024 at the Bajío Experimental Station, Celaya, Guanajuato, Mexico, based on the guidelines of the International Union for the Protection of New Varieties of Plants (UPOV) and the International Plant Genetic Resources Institute (IPGRI). The data were analyzed using descriptive statistics, analysis of variance and post hoc tests, canonical discriminant analysis, and the Eigenanalysis selection index method (ESIM). Morphological variation showed that five qualitative traits were determinant factors in distinguishing tomato types and lines, whereas agronomic discriminant traits were the equatorial and polar diameters of the fruit and its ratio, number of locules, pedicel length, stem length, and internode distance. In addition, significant positive correlations were found between leaf length and width, equatorial diameter of the fruit, and polar diameter of the fruit. Lines JCM-17, JMC-10, and JCM-01 were the most selectable lines according to the ESIM values. The morphological variation found and the characteristics with higher selection values identified may be valuable for optimizing the tomato genetic improvement process in general. Full article
14 pages, 1702 KiB  
Article
Gene Effect of Morphophysiological Traits in Popcorn (Zea mays L. var. everta) Grown Under Contrasting Water Regimes
by Danielle Leal Lamêgo, Antônio Teixeira do Amaral Junior, Samuel Henrique Kamphorst, Valter Jário de Lima, Samuel Pereira da Silva, Jardel da Silva Figueiredo, Ueliton Alves de Oliveira, Flávia Nicácio Viana, Talles de Oliveira Santos, Gabriella Rodrigues Gonçalves, Guilherme Augusto Rodrigues de Souza, Eliemar Campostrini, Alexandre Pio Viana, Marta Simone Mendonça Freitas, Helaine Christine Cancela Ramos, Gonçalo Apolinário de Souza Filho and Carlos Eduardo de Rezende
Agriculture 2024, 14(12), 2157; https://doi.org/10.3390/agriculture14122157 - 27 Nov 2024
Viewed by 219
Abstract
To propose breeding strategies for drought conditions, we investigated gene expression associated with morphophysiological traits in four S7 popcorn (Zea mays var. everta) inbred lines using a partial diallel cross design with two testers. We evaluated morphological traits (plant height; the [...] Read more.
To propose breeding strategies for drought conditions, we investigated gene expression associated with morphophysiological traits in four S7 popcorn (Zea mays var. everta) inbred lines using a partial diallel cross design with two testers. We evaluated morphological traits (plant height; the dry mass of stems, leaves, and reproductive organs; and root weight density (RWD) across five soil sections), water status indicators (leaf water content, cumulative evapotranspiration, agronomic water use efficiency, and carbon isotope signatures), anatomical traits (stomatal number and index), and leaf pigments. Significant variations were observed between lines and hybrids for plant height, shoot biomass traits, water status indicators, and RWD across all soil sections, particularly under water deficit conditions. Overall, the inbred lines were more adversely affected by drought than the hybrids. Dominance gene effects played a significant role in increasing anthocyanin content, cumulative evapotranspiration, stable carbon isotope signatures, and RWD in most soil sections. The superior water utilization observed in hybrids compared to inbred lines suggests that exploiting heterosis is likely the most effective strategy for developing drought-resilient popcorn plants. Full article
(This article belongs to the Section Crop Genetics, Genomics and Breeding)
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<p>Observed reductions in popcorn lines and hybrids grown under different water regimes (WS: water-stressed; WW: well-watered) for PH: plant height (cm); SLA: specific leaf area (cm<sup>2</sup> g<sup>−1</sup>) ANTH: anthocyanin content (μmol g<sup>−1</sup>); FLAV: flavonoid content (μmol g<sup>−1</sup>); CHL: chlorophyll content (µg/cm<sup>2</sup>); ODM: reproductive organs dry matter (g); SDM: stem dry matter (g); and LDM: leaf dry matter (g).</p>
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<p>Observed reductions in popcorn lines and hybrids grown under different water regimes (WS: water-stressed; WW: well-watered) for the following traits: DSD: adaxial stomatal density (mm<sup>−2</sup>); BSD: abaxial stomatal density (mm<sup>−2</sup>); DSI: adaxial stomatal index (%); BSI: abaxial stomatal index (%); ET: cumulative evapotranspiration (dm<sup>3</sup> plant<sup>−1</sup>); RWC: leaf relative water content (%); WUE: agronomic water use efficiency (g kg<sup>−1</sup>); δ<sup>13</sup>C: stable carbon isotope signature (‰); and N<sub>Total</sub>: total nitrogen content (<sub>dm</sub> %).</p>
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<p>Reductions observed in popcorn lines and hybrids grown under different water regimes (WS: water-stressed; WW: well-watered) for RWD: root weight density. a-b-c-d-e refers to the depth of each soil section, i.e., 0–30 cm (a); 30–60 cm (b); 60–90 cm (c); 90–120 cm (d); and 120–150 cm (e).</p>
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<p>Summary of relative importance of variances in gene effects (expressed in %) and analysis of variance displaying mean square estimates for growth measurements, leaf pigments, water status, carbon isotope composition, and roots of popcorn lines, testers, and hybrids evaluated under different water regimes, according to the model proposed by Griffing (1956) for the partial diallel. The dark shades of pink, green, and blue indicate significant effects, which are also marked with asterisks. WS = water-stressed; WW = well-watered. The mean square (MS) effect is represented by ns = not significant; * = significant at <span class="html-italic">p</span> &lt; 0.05; and ** = significant at <span class="html-italic">p</span> &lt; 0.01, respectively, by the F Test. GCA I = general combining ability of lines; GCA II = general combining ability of testers; SCA I*II = specific combining ability of hybrids. PH: plant height; LDM: leaf dry matter; SDM: stem dry matter; ODM: reproductive organs dry matter; CHL: chlorophyll index; FLAV: flavonoid content; ANTH: anthocyanin content; SLA: specific leaf area; DSD: adaxial stomatal density; BSD: abaxial stomatal density; DSI: adaxial stomatal index; BSI: abaxial stomatal index; ET: cumulative evapotranspiration; RWC: leaf relative water content; WUE: agronomic water use efficiency; δ<sup>13</sup>C: stable carbon isotope signatures; N<sub>Total</sub>: total nitrogen content <sub>dm</sub>; and RWD: root weight density; a-b-c-d-e refers to the depth of each soil section, i.e., 0–30 cm (a); 30–60 cm (b); 60–90 cm (c); 90–120 cm (d); and 120–150 cm (e).</p>
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20 pages, 31755 KiB  
Article
An Improved 2D Pose Estimation Algorithm for Extracting Phenotypic Parameters of Tomato Plants in Complex Backgrounds
by Yawen Cheng, Ni Ren, Anqi Hu, Lingli Zhou, Chao Qi, Shuo Zhang and Qian Wu
Remote Sens. 2024, 16(23), 4385; https://doi.org/10.3390/rs16234385 - 24 Nov 2024
Viewed by 469
Abstract
Phenotypic traits, such as plant height, internode length, and node count, are essential indicators of the growth status of tomato plants, carrying significant implications for research on genetic breeding and cultivation management. Deep learning algorithms such as object detection and segmentation have been [...] Read more.
Phenotypic traits, such as plant height, internode length, and node count, are essential indicators of the growth status of tomato plants, carrying significant implications for research on genetic breeding and cultivation management. Deep learning algorithms such as object detection and segmentation have been widely utilized to extract plant phenotypic parameters. However, segmentation-based methods are labor-intensive due to their requirement for extensive annotation during training, while object detection approaches exhibit limitations in capturing intricate structural features. To achieve real-time, efficient, and precise extraction of phenotypic traits of seedling tomatoes, a novel plant phenotyping approach based on 2D pose estimation was proposed. We enhanced a novel heatmap-free method, YOLOv8s-pose, by integrating the Convolutional Block Attention Module (CBAM) and Content-Aware ReAssembly of FEatures (CARAFE), to develop an improved YOLOv8s-pose (IYOLOv8s-pose) model, which efficiently focuses on salient image features with minimal parameter overhead while achieving a superior recognition performance in complex backgrounds. IYOLOv8s-pose manifested a considerable enhancement in detecting bending points and stem nodes. Particularly for internode detection, IYOLOv8s-pose attained a Precision of 99.8%, exhibiting a significant improvement over RTMPose-s, YOLOv5s6-pose, YOLOv7s-pose, and YOLOv8s-pose by 2.9%, 5.4%, 3.5%, and 5.4%, respectively. Regarding plant height estimation, IYOLOv8s-pose achieved an RMSE of 0.48 cm and an rRMSE of 2%, and manifested a 65.1%, 68.1%, 65.6%, and 51.1% reduction in the rRMSE compared to RTMPose-s, YOLOv5s6-pose, YOLOv7s-pose, and YOLOv8s-pose, respectively. When confronted with the more intricate extraction of internode length, IYOLOv8s-pose also exhibited a 15.5%, 23.9%, 27.2%, and 12.5% reduction in the rRMSE compared to RTMPose-s, YOLOv5s6-pose, YOLOv7s-pose, and YOLOv8s-pose. IYOLOv8s-pose achieves high precision while simultaneously enhancing efficiency and convenience, rendering it particularly well suited for extracting phenotypic parameters of tomato plants grown naturally within greenhouse environments. This innovative approach provides a new means for the rapid, intelligent, and real-time acquisition of plant phenotypic parameters in complex backgrounds. Full article
(This article belongs to the Special Issue Intelligent Extraction of Phenotypic Traits in Agroforestry)
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Graphical abstract

Graphical abstract
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<p>Plant phenotyping platform. (<b>a</b>) Physical diagram of the plant phenotyping platform; (<b>b</b>) Schematic diagram of the plant phenotyping platform; (<b>c</b>) The working flow of the cloud-based software system of the plant phenotyping platform; (<b>d</b>) A cloud-based plant phenotyping software system.</p>
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<p>Tomato seedling side-view dataset.</p>
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<p>Schematic diagram of the internode length measurement. A, B and C represent the stem nodes on the plant.</p>
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<p>Annotation visualization. (<b>a</b>) Keypoints annotation for plant height; (<b>b</b>) Keypoints annotation for internode length.</p>
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<p>Schematic diagram of the CBAM model.</p>
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<p>Kernel Prediction Module of CARAFE.</p>
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<p>Structure of the IYOLOv8s-pose model.</p>
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<p>(<b>a</b>–<b>d</b>) Correlation analyses of the relationship between the measured and estimated values of tomato height.</p>
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<p>(<b>a</b>–<b>d</b>) Correlation analyses of the relationship between the measured and estimated values of tomato internode length.</p>
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<p>Comparison of the estimation results of different algorithms. (<b>a</b>) Visual comparison of the detection results for plant height estimation. (<b>b</b>) Visual comparison of the detection results for internode length and number estimation. (<b>c</b>) Comparison of the estimated and measured values of internode length; the <span class="html-italic">x</span>-axis represents the internode length: for example, node1–2 represents the internode length between stem nodes 1 and 2.</p>
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<p>(<b>a</b>–<b>d</b>) Correlation analyses of the relationship between the measured and estimated values of tomato height using different algorithms.</p>
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<p>(<b>a</b>–<b>d</b>) Correlation analyses of the relationship between the measured and estimated values of tomato internode length using different algorithms.</p>
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<p>Comparison of the estimation results of different algorithms. (<b>a</b>) Visual comparison of the detection results for plant height estimation. (<b>b</b>) Visual comparison of the detection results for internode length and number estimation. (<b>c</b>) Comparison of the estimated and measured values of internode length; the <span class="html-italic">x</span>-axis represents the internode length: for example, node1–2 represents the internode length between stem nodes 1 and 2.</p>
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<p>The plant height extraction of the same tomato in different time periods (<b>a</b>) and dynamic growth analysis diagram (<b>b</b>).</p>
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<p>Three-dimensional skeleton reconstruction of the main stems of three randomly selected tomato plants.</p>
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14 pages, 3620 KiB  
Article
An Ethyl Methanesulfonate-Induced GIF1 Splicing Site Mutation in Sesame Is Associated with Floral Malformation and Small Seed Size
by Guiting Li, Hengchun Cao, Qin Ma, Ming Ju, Huili Wang, Qiuzhen Tian, Xiaoxu Feng, Xintong Zhang, Jingjing Kong, Haiyang Zhang and Hongmei Miao
Plants 2024, 13(23), 3294; https://doi.org/10.3390/plants13233294 - 23 Nov 2024
Viewed by 272
Abstract
Flower and inflorescence architecture play fundamental roles in crop seed formation and final yield. Sesame is an ancient oilseed crop. Exploring the genetic mechanisms of inflorescence architecture and developmental characteristics is necessary for high-yield breeding improvements for sesame and other crops. In this [...] Read more.
Flower and inflorescence architecture play fundamental roles in crop seed formation and final yield. Sesame is an ancient oilseed crop. Exploring the genetic mechanisms of inflorescence architecture and developmental characteristics is necessary for high-yield breeding improvements for sesame and other crops. In this study, we performed a genetic analysis of the sesame mutant css1 with a malformed corolla and small seed size that was mutagenized by ethyl methanesulfonate (EMS) from the cultivar Yuzhi 11. Inheritance analysis of the cross derived from css1 mutant × Yuzhi 11 indicated that the mutant traits were controlled by a single recessive gene. Based on the genome resequencing of 48 F2 individuals and a genome-wide association study, we determined SNP9_15914090 with the lowest p value was associated with the split corolla and small seed size traits, which target gene Sigif1 (GRF-Interacting Factor 1). SiGIF1 contains four exons and encodes a coactivating transcription factor. Compared to the wild-type allelic gene SiGIF1, Sigif1 in the mutant css1 has a splice donor variant at the exon2 and intron2 junction, which results in incorrect transcript splicing with a 13 bp deletion in exon2. The expression profile indicated that SiGIF1 was highly expressed in the flower, ovary, and capsule but lowly expressed in the root, stem, and leaf tissues of the control. In summary, we identified a gene, SiGIF1, that regulates flower organs and seed size in sesame, which provides a molecular and genetic foundation for the high-yield breeding of sesame and other crops. Full article
(This article belongs to the Section Plant Molecular Biology)
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<p>Morphological comparisons in corolla (<b>a</b>), seed size (<b>b</b>), and capsule (<b>c</b>,<b>d</b>) between Yuzhi 11 and mutant <span class="html-italic">css1</span>. Scale bar = 1 cm. (<b>e</b>–<b>g</b>) Thousand-seed weight, seed length, and seed width of plants in (<b>b</b>). <span class="html-italic">p</span> values from <span class="html-italic">t</span> tests are shown (*** <span class="html-italic">p</span> &lt; 0.001). All boxplots show the upper and lower quartiles separated by the median (horizontal line). Whiskers represent maximum and minimum values.</p>
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<p>Manhattan plot and quantile–quantile plot of SNP association mapping. Each dot represents an SNP variant. Detailed information on significant loci for all traits is listed in <a href="#app1-plants-13-03294" class="html-app">Supplementary Table S3</a>.</p>
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<p>Manhattan plot and quantile–quantile plot of InDel association mapping. Each dot represents an InDel variant. Detailed information on significant loci for all traits is listed in <a href="#app1-plants-13-03294" class="html-app">Supplementary Table S4</a>.</p>
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<p>F<sub>2</sub> population validation of C9_15914090 SNP by MnII dCAPS assay. (<b>a</b>) Theory of the MnII dCAPS assay, including creating the MnII recognition sites and discerning the wild and mutant sequences. Red bases indicate C9_15914090 mutant SNP. Orange bases indicate the artificially created MnII recognition site. (<b>b</b>) Partial population validation results (samples 73–108) using 10% nucleic acid PAGE. P1, parent with recessive homozygous genotype; P2, parent with dominant homozygous genotype. Numbers on the left and the right of the image represent the molecular sizes of the marker and PCR product, respectively. Full results (genotypes and phenotypes) are listed in <a href="#app1-plants-13-03294" class="html-app">Supplementary Table S5</a>.</p>
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<p>Mutant loci comparison of Yuzhi 11 and <span class="html-italic">css1</span> mutant in gDNA and cDNA. (<b>a</b>) At the genome level, the causal SNP (G to A) is located on the splice_donor_region of the second exon for the <span class="html-italic">SiGIF1</span> gene. Red font (left) and red boxes (right) indicate the position of C9_15914090. (<b>b</b>) At the transcription level, the 13 bp deletion on the second exon (red solid box) was induced in the <span class="html-italic">css1</span> mutant. Bases with blue and purple backgrounds indicate connecting bases of second exon and third exon for Yuzhi 11 (up) and <span class="html-italic">css1</span> mutant (down), respectively.</p>
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<p>Subcellular localization of SiGIF1 protein. Confocal images of tobacco leaves after 72 h of infection. Scale bar = 50 μm.</p>
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<p>Expression profile of <span class="html-italic">SiGIF1</span> in different tissues of Yuzhi 11 using RT-qPCR. The endogenous <span class="html-italic">Siβ-tubulin</span> gene was used to normalize the expression level. Statistical analysis was performed by one-way ANOVA analysis with Dunnett’s multiple comparisons test, and different lower-case letters above columns indicate statistical differences at <span class="html-italic">p</span> &lt; 0.05; data are provided as means ± SDs. Young root, stem, leaf, bud, flower, ovary, pericarp, and seed tissues from 6 to 28 DAP are assayed. DAP, days after pollination. The darker the bar graph, the higher the relative level of expression.</p>
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<p>Phylogenetic relationship of <span class="html-italic">GIF1</span> genes and its homologs in <span class="html-italic">Arabidopsis</span>, rice, and two cultivated sesames (<span class="html-italic">S. indicum</span> var. Yuzhi 11, <span class="html-italic">S</span>. <span class="html-italic">indicum</span> var. zhongzhi 13) and five ancestral sesames (<span class="html-italic">S. alatum</span>, <span class="html-italic">S. latifolium</span>, <span class="html-italic">S. angolense</span>, <span class="html-italic">S. angustifolium</span>, <span class="html-italic">S. radiatum</span>). Red font represents <span class="html-italic">S. indicum</span> var. Yuzhi11. The numbers on the branches represent bootstrap values.</p>
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18 pages, 7048 KiB  
Article
Evaluation of Promising Characteristics of Rhizomatous Alfalfa Male Sterile Mutant Accessions
by Ming Wang, Shangli Shi, Wenjuan Kang, Fang Jing, Xi Cheng, Yuanyuan Du and Yilin Han
Agronomy 2024, 14(12), 2759; https://doi.org/10.3390/agronomy14122759 - 21 Nov 2024
Viewed by 293
Abstract
Evaluating key traits of male sterile mutant accessions in rhizomatous alfalfa (Medicago sativa L.) is crucial for selecting plants for artificial hybrid breeding of rhizomatous maternal lines. In this study, branch cuttings from four male sterile mutant accessions of ‘Qingshui’ alfalfa were [...] Read more.
Evaluating key traits of male sterile mutant accessions in rhizomatous alfalfa (Medicago sativa L.) is crucial for selecting plants for artificial hybrid breeding of rhizomatous maternal lines. In this study, branch cuttings from four male sterile mutant accessions of ‘Qingshui’ alfalfa were used as experimental samples. We evaluated phenotypic traits, which included pollen viability and stigma receptivity, as well as nutritional quality, using difference analysis, correlation analysis, and principal component analysis. Prioritizing pollen viability and stigma receptivity, while considering phenotypic traits and nutritional quality as supplementary factors, allowed us to comprehensively evaluate 24 rhizomatous alfalfa individuals. This evaluation led to the identification of four male sterile mutant accessions with superior traits. The pollen from accession 4-4 was found to be partially fertile, whereas the remaining 23 alfalfa individuals were entirely male sterile. All 24 individuals exhibited stigma receptivity levels suitable for effective pollination. Principal component analysis revealed that among the assessed traits, the leaf–stem ratio contributed most significantly, followed by crude protein content, while neutral detergent fiber content had the least impact on overall quality. Additionally, the number of branches showed a strong positive correlation with individual plant yield (p < 0.01). No significant correlations were detected among plant height, stem diameter, forage grading index, crude protein, neutral detergent fiber, acid detergent fiber content, and yield. Overall, our comprehensive evaluation suggests that accessions 1-2, 2-2, 3-1, and 4-3 are most suitable for use as parental lines in artificial hybrid breeding. Full article
(This article belongs to the Section Horticultural and Floricultural Crops)
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<p>Comparison of pollen viability among 24 alfalfa plants. After one-way ANOVA, different letters indicate significant differences determined by Tukey’s HSD test. The lower-case letters in different columns show significant differences between accessions at the 0.05 level.</p>
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<p>Comparison of stigma receptivity in 24 individual alfalfa plants. After one-way ANOVA, different letters indicate significant differences determined by Tukey’s HSD test. The lower-case letters in different columns show significant differences between accessions at the 0.05 level.</p>
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<p>Phenotypic traits analysis of 23 individual alfalfa plants. (<b>A</b>) Plant height, (<b>B</b>) Stem thickness, (<b>C</b>) Number of branches, (<b>D</b>) Leaf–stem ratio, (<b>E</b>) Fresh weight per plant, (<b>F</b>) Dry weight per plant, (<b>G</b>) Stem dry weight, (<b>H</b>) Leaf dry weight. Red, blue, yellow, and green in the figure represent QS1, QS2, QS3, and QS4. After one-way ANOVA, different letters indicate significant differences determined by Tukey’s HSD test. The lower-case letters in different columns show significant differences between accessions at the 0.05 level.</p>
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<p>Analysis of nutritional indexes and variability in 23 individual alfalfa plants. (<b>A</b>) Crude protein (CP), (<b>B</b>) Ether extract (EE), (<b>C</b>) Crude ash (Ash), (<b>D</b>) Neutral detergent fiber (NDF), (<b>E</b>) Acid detergent fiber (ADF), and (<b>F</b>) Forage grading index (GI). Red, blue, yellow, and green in the figure represent QS1, QS2, QS3, and QS4. After one-way ANOVA, different letters indicate significant differences determined by Tukey’s HSD test. The lower-case letters in different columns show significant differences between accessions at the 0.05 level.</p>
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<p>Correlation analysis of phenotypic traits and nutritional indexes in 23 individual alfalfa plants. (**) Indicates highly significant correlation at the 0.01 level, and (*) indicates highly significant correlation at the 0.05 level. The narrower the ellipse, the stronger the correlation; conversely, the wider the ellipse, the weaker the correlation. CP—crude protein; NDF—neutral detergent fiber; ADF—acid detergent fiber; EE—ether extract; Ash—crude ash; GI—forage grading index.</p>
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18 pages, 2453 KiB  
Article
The Application of Conventional and Organic Fertilizers During Wild Edible Species Cultivation: A Case Study of Purslane and Common Sowthistle
by Efraimia Hajisolomou, Giannis Neofytou, Spyridon A. Petropoulos and Nikolaos Tzortzakis
Horticulturae 2024, 10(11), 1222; https://doi.org/10.3390/horticulturae10111222 - 19 Nov 2024
Viewed by 381
Abstract
The introduction of alternative crops, including wild edible and medicinal plants, in organic cultivation systems presents an attractive approach to producing healthy and high-quality products due to their content in beneficial compounds and increased nutritional value. The current study evaluated the impact of [...] Read more.
The introduction of alternative crops, including wild edible and medicinal plants, in organic cultivation systems presents an attractive approach to producing healthy and high-quality products due to their content in beneficial compounds and increased nutritional value. The current study evaluated the impact of organic and conventional fertilization on the growth, quality, nutrient status and stress response of the two wild edible species, e.g., purslane (Portulaca oleracea L.) and common sowthistle (Sonchus oleraceus L.), under field conditions. The fertilization treatments included the following: a control (NoFert) treatment with no fertilizers added, base dressing with conventional fertilization (CoFert), base dressing with organic fertilization (OrFert), base dressing and side dressing with conventional fertilization (OrFert + SCoFert) and base dressing and side dressing with organic fertilization (CoFert + SCoFert). Organic fertilization was carried out using a commercial vinasse-based organic fertilizer. In both purslane and common sowthistle, the application of organic fertilizers provided comparable or even enhanced plant growth traits, macronutrient content (i.e., P and K for purslane, and N for sowthistle) and quality (i.e., total soluble solids) compared to the application of conventional fertilizers. On the other hand, conventional fertilization with supplementary fertilization positively influenced the plant growth of purslane (i.e., plant height and stems biomass), as well as its physiological parameters (i.e., chlorophylls content), total phenolics content and antioxidant capacity (i.e., DPPH and FRAP). Similarly, conventional fertilization led to increased total phenolics and antioxidants in common sowthistle, while variable effects were observed regarding plant physiology, stress response and antioxidant capacity indices. In conclusion, the use of organic fertilization in both purslane and common sowthistle exhibited a performance similar to that of conventional fertilization, although further optimization of fertilization regimes is needed to improve the quality of the edible products. Full article
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<p>The effect of different fertilization regimes on purslane’s (<b>A</b>) total phenols content (mg g<sup>−1</sup> FW) and antioxidant capacity according to (<b>B</b>) DPPH, (<b>C</b>) FRAP, and (<b>D</b>) ABTS•+ (mg Trolox g<sup>−1</sup> FW); (<b>E</b>) flavonoids content (mg Rutin g<sup>−1</sup> FW) and (<b>F</b>) ascorbic acid content (mg 100 g<sup>−1</sup> FW); no fertilization (NoFert), conventional fertilization–base dressing (CoFert), organic fertilization–base dressing (OrFert), conventional fertilization with side dressing of CoFert (CoFert + S<sub>CoFert</sub>) and organic fertilization with side dressing of OrFert (OrFert + S<sub>OrFert</sub>); significant differences (<span class="html-italic">p</span> &lt; 0.05) among the treatments are indicated by different letters above the vertical bars. Values are means (±SE) of six replicates for each treatment.</p>
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<p>The effect of different fertilization regimes on purslane’s (<b>A</b>) total phenols content (mg g<sup>−1</sup> FW) and antioxidant capacity according to (<b>B</b>) DPPH, (<b>C</b>) FRAP, and (<b>D</b>) ABTS•+ (mg Trolox g<sup>−1</sup> FW); (<b>E</b>) flavonoids content (mg Rutin g<sup>−1</sup> FW) and (<b>F</b>) ascorbic acid content (mg 100 g<sup>−1</sup> FW); no fertilization (NoFert), conventional fertilization–base dressing (CoFert), organic fertilization–base dressing (OrFert), conventional fertilization with side dressing of CoFert (CoFert + S<sub>CoFert</sub>) and organic fertilization with side dressing of OrFert (OrFert + S<sub>OrFert</sub>); significant differences (<span class="html-italic">p</span> &lt; 0.05) among the treatments are indicated by different letters above the vertical bars. Values are means (±SE) of six replicates for each treatment.</p>
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<p>The effect of different fertilization regimes on common sowthistle’s (<b>A</b>) total phenols (mg GA g<sup>−1</sup> FW) and antioxidant capacity according to (<b>B</b>) DPPH, (<b>C</b>) FRAP, (<b>D</b>) ABTS•+ (mg Trolox g<sup>−1</sup> FW); (<b>E</b>) flavonoids (mg Rutin g<sup>−1</sup> FW) and (<b>F</b>) ascorbic acid content (mg 100 g<sup>−1</sup> FW); no fertilization (NoFert), conventional fertilization–base dressing (CoFert), organic fertilization-base dressing (OrFert), conventional fertilization with side dressing of CoFert (CoFert + S<sub>CoFert</sub>) and organic fertilization with side dressing of OrFert (OrFert + S<sub>OrFert</sub>); significant differences (<span class="html-italic">p</span> &lt; 0.05) among applications are indicated by different letters above the vertical bars. Values are means (±SE) of six replicates for each treatment.</p>
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<p>The effect of different fertilization regimes on common sowthistle’s (<b>A</b>) total phenols (mg GA g<sup>−1</sup> FW) and antioxidant capacity according to (<b>B</b>) DPPH, (<b>C</b>) FRAP, (<b>D</b>) ABTS•+ (mg Trolox g<sup>−1</sup> FW); (<b>E</b>) flavonoids (mg Rutin g<sup>−1</sup> FW) and (<b>F</b>) ascorbic acid content (mg 100 g<sup>−1</sup> FW); no fertilization (NoFert), conventional fertilization–base dressing (CoFert), organic fertilization-base dressing (OrFert), conventional fertilization with side dressing of CoFert (CoFert + S<sub>CoFert</sub>) and organic fertilization with side dressing of OrFert (OrFert + S<sub>OrFert</sub>); significant differences (<span class="html-italic">p</span> &lt; 0.05) among applications are indicated by different letters above the vertical bars. Values are means (±SE) of six replicates for each treatment.</p>
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<p>The effect of different fertilization regimes on (<b>A</b>) hydrogen peroxide–H<sub>2</sub>O<sub>2</sub> (μmol g<sup>−1</sup>) and (<b>B</b>) lipid peroxidation–MDA (nmol g<sup>−1</sup>) of purslane plants. No fertilization (NoFert), conventional fertilization–base dressing (CoFert), organic fertilization–base dressing (OrFert), conventional fertilization with side dressing of CoFert (CoFert + S<sub>CoFert</sub>) and organic fertilization with side dressing of OrFert (OrFert + S<sub>OrFert</sub>); significant differences (<span class="html-italic">p</span> &lt; 0.05) among applications are indicated by different letters above the vertical bars. Values are means (±SE) of six replicates for each treatment.</p>
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<p>The effect of different fertilization regimes on (<b>A</b>) hydrogen peroxide–H<sub>2</sub>O<sub>2</sub> (μmol g<sup>−1</sup>) and (<b>B</b>) lipid peroxidation–MDA (nmol g<sup>−1</sup>) of common sowthistle plants. No fertilization (NoFert), conventional fertilization–base dressing (CoFert), organic fertilization–base dressing (OrFert), conventional fertilization with side dressing of CoFert (CoFert + S<sub>CoFert</sub>) and organic fertilization with side dressing of OrFert (OrFert + S<sub>OrFert</sub>); significant differences (<span class="html-italic">p</span> &lt; 0.05) among applications are indicated by different letters above the vertical bars. Values are means (±SE) of six replicates for each treatment.</p>
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18 pages, 3797 KiB  
Article
Bacillus cereus: An Ally Against Drought in Popcorn Cultivation
by Uéliton Alves de Oliveira, Antônio Teixeira do Amaral Junior, Samuel Henrique Kamphorst, Valter Jário de Lima, Fábio Lopes Olivares, Shahid Khan, Monique de Souza Santos, Jardel da Silva Figueiredo, Samuel Pereira da Silva, Flávia Nicácio Viana, Talles de Oliveira Santos, Gabriella Rodrigues Gonçalves, Eliemar Campostrini, Alexandre Pio Viana and Freddy Mora-Poblete
Microorganisms 2024, 12(11), 2351; https://doi.org/10.3390/microorganisms12112351 - 18 Nov 2024
Viewed by 441
Abstract
Despite the development of adapted popcorn cultivars such as UENF WS01, strategies such as bacterial inoculation are being explored to enhance plant resilience to abiotic stress. This study investigates the impact of drought stress on popcorn cultivation. Specifically, the aim was to identify [...] Read more.
Despite the development of adapted popcorn cultivars such as UENF WS01, strategies such as bacterial inoculation are being explored to enhance plant resilience to abiotic stress. This study investigates the impact of drought stress on popcorn cultivation. Specifically, the aim was to identify the benefits of Bacillus cereus interaction with the drought-tolerant hybrid UENF WS01 for its morphophysiology and growth by comparing inoculated and non-inoculated plants under water-stressed (WS) and well-watered (WW) conditions. This evaluation was conducted using a randomized complete block design in a factorial arrangement. For WS with inoculation samples, there were significant increases in relative chlorophyll content, maximum fluorescence intensity, and agronomic water use efficiency. Chlorophyll content increased by an average of 50.39% for WS samples, compared to a modest increase of 2.40% for WW samples. Both leaf and stem biomass also significantly increased for WS relative to WW conditions. Overall, B. cereus inoculation mitigated the impact of water stress, significantly enhancing the expression of physiological and morphological traits, even when paired with a drought-tolerant hybrid. Full article
(This article belongs to the Section Plant Microbe Interactions)
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<p>Comparison of the percentage reduction (%) in physiological traits between treatments under water stress (WSI and WSC) and well-watered (WWI and WWC) conditions. Relative chlorophyll content (Chl), leaf anthocyanin content (Anth), flavonoids (Flv), nitrogen balance index (NBI), maximum fluorescence intensity (Fm), variable fluorescence (Fv), basal quantum production of non-photochemical processes in PSII (Fm/Fo), the potential quantum efficiency of PSII (Fv/Fo), potential quantum yield (Fv/Fm), net photosynthetic rate (A), stomatal conductance (Gs), intercellular CO<sub>2</sub> concentration (Ci), transpiration rate (E), non-photochemical quenching (NPQT), the quantum yield of PSII (PHI2), relative leaf water content (RLWC), intrinsic water use efficiency (WUEint), instantaneous water use efficiency (WUEinst), and agronomic water use efficiency (WUEagro).</p>
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<p>Comparison of means of physiological traits evaluated in hybrid UENF WS01 inoculated with <span class="html-italic">Bacillus cereus</span> under two water conditions. Uppercase letters indicate significantly different treatments between water conditions (WSI*WWI and WSC*WWC), and lowercase letters represent significantly different treatments within the water condition (WSI*WSC and WWI*WWC) at the 5% level by Tukey’s test. Error bars show the standard deviation. Relative chlorophyll content (Chl), leaf anthocyanin content (Anth), flavonoids (Flv), nitrogen balance index (NBI), maximum fluorescence intensity (Fm), variable fluorescence (Fv), basal quantum production of non-photochemical processes in PSII (Fm/Fo), the potential quantum efficiency of PSII (Fv/Fo), potential quantum yield (Fv/Fm), net photosynthetic rate (A), stomatal conductance (Gs), intercellular CO<sub>2</sub> concentration (Ci), transpiration rate (E), non-photochemical quenching (NPQT), the quantum yield of PSII (PHI2), relative leaf water content (RLWC), intrinsic water use efficiency (WUEint), instantaneous water use efficiency (WUEinst), and agronomic water use efficiency (WUEagro).</p>
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<p>Comparison of the percentage reduction (%) in morphological and root traits between water stress (WSI and WSC) and well-watered (WWI and WWC) conditions. Plant height (PH), stem diameter (SD), leaf length (LL), leaf width (LW), leaf biomass (LB), stem biomass (SB), specific leaf area (SLA), abaxial stomata density (SDAB), abaxial epidermal cell density (ECDAB), adaxial stomata density (SDAD), adaxial epidermal cell density (ECDAD), abaxial stomatal index (SIAB), adaxial stomatal index (SIAD), mean root number (MNR, sections a, b, c, and d), specific root length (SRLe), and root weight density (RWDc).</p>
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<p>Comparison of means of morphological traits evaluated in hybrid UENF WS01 inoculated with <span class="html-italic">Bacillus cereus</span> under two water conditions. Uppercase letters indicate significantly different treatments between water conditions (WSI*WWI and WSC*WWC), and lowercase letters represent significantly different treatments within water conditions (WSI*WSC and WWI*WWC) at a 5% probability level by Tukey’s test. Error bars show the standard deviation. Plant height (PH), stem diameter (SD), leaf length (LL), leaf width (LW), leaf biomass (LB), stem biomass (SB), specific leaf area (SLA), abaxial stomata density (SDAB), abaxial epidermal cell density (ECDAB), adaxial stomata density (SDAD), adaxial epidermal cell density (ECDAD), abaxial stomatal index (SIAB), adaxial stomatal index (SIAD), mean number of roots (MNR, sections a, b, c, and d), specific root length (SRLe), and root weight density (RWDc).</p>
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16 pages, 1989 KiB  
Article
Evaluation of Five Asian Lily Cultivars in Chongqing Province China and Effects of Exogenous Substances on the Heat Resistance
by Ningyu Bai, Yangjing Song, Yu Li, Lijun Tan, Jing Li, Lan Luo, Shunzhao Sui and Daofeng Liu
Horticulturae 2024, 10(11), 1216; https://doi.org/10.3390/horticulturae10111216 - 17 Nov 2024
Viewed by 452
Abstract
Lily is one of the world’s important ornamental flowers. Potted Asiatic lily is a further selected dwarf cultivar suitable for indoor or garden planting. However, there is a lack of relevant research on the cultivation adaptability of potted Asiatic lilies cultivars in the [...] Read more.
Lily is one of the world’s important ornamental flowers. Potted Asiatic lily is a further selected dwarf cultivar suitable for indoor or garden planting. However, there is a lack of relevant research on the cultivation adaptability of potted Asiatic lilies cultivars in the Chongqing region which in the southwest of China. This study selected five potted Asiatic lily cultivars, and the phenological period, stem and leaf characteristics, and flowering traits were assessed through statistical observation. The Asiatic lily ‘Tiny Ghost’ and ‘Tiny Double You’ are well-suited for both spring and autumn planting in Chongqing, while ‘Sugar Love’ and ‘Curitiba’ are best planted in the spring. The ‘Tiny Diamond’ is more appropriate for autumn planting due to its low tolerance to high temperature. The application of exogenous substances, including calcium chloride (CaCl2), potassium fulvic acid (PFA) and melatonin (MT), can mitigate the detrimental effects of high-temperature stress on ‘Tiny Diamond’ by regulating photosynthesis, antioxidant systems, and osmotic substance content. A comprehensive evaluation using the membership function showed that the effect of exogenous CaCl2 treatment is the best, followed by exogenous PFA treatment. CaCl2 acts as a positive regulator of heat stress tolerance in Asian lilies, with potential applications in Asian lily cultivation. This study provides reference for cultivation and application of Asian lily varieties in Chongqing region, and also laid the foundation for further research on the mechanism of exogenous substances alleviating heat stress in lilies. Full article
(This article belongs to the Special Issue Emerging Insights into Horticultural Crop Ecophysiology)
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<p>Asian lily cultivars. (<b>A</b>). ‘Tiny Double You’; (<b>B</b>). ‘Curitiba’; (<b>C</b>). ‘Tiny Diamond’; (<b>D</b>). ‘Sugar Love’; (<b>E</b>). ‘Tiny Ghost’.</p>
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<p>Oxidative stress indexes of ‘Tiny Diamond’ after exogenous application of different substances under high temperature stress. (<b>A</b>). The relative water content of lily. (<b>B</b>). The MDA content of lily. (<b>C</b>). The REL rate of lily. Note: CK: H<sub>2</sub>O; M1: 100 μmol/L MT; M2: 200 μmol/L MT; P1: 0.5 g/L PFA; P2: 1.0 g/L PFA; C1: 20 mmol/L CaCl<sub>2</sub>; C2: 40 mmol/L CaCl<sub>2</sub>. Different lowercase letters indicate significant differences between treatments (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Chlorophyll content of ‘Tiny Diamond’ after application of exogenous substances. Different lowercase letters indicate significant differences between treatments (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>SOD content of ‘Tiny Diamond’ after application of exogenous substances. Different lowercase letters indicate significant differences between treatments (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Content of osmoregulatory substances in ‘Tiny Diamond’ after application of exogenous substances. (<b>A</b>). Proline content. (<b>B</b>). Soluble protein content. (<b>C</b>). Total soluble sugar content. Different lowercase letters indicate significant differences between treatments (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Correlation analysis of ten indicators under treatment with three exogenous substances. Note: * means correlation is extremely significant at the 0.05 level, ** means correlation is extremely significant at the 0.01 level.</p>
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14 pages, 1261 KiB  
Article
Effect of Fluridone on Roots and Leaf Buds Development in Stem Cuttings of Salix babylonica (L.) ‘Tortuosa’ and Related Metabolic and Physiological Traits
by Wiesław Wiczkowski, Agnieszka Marasek-Ciołakowska, Dorota Szawara-Nowak, Wiesław Kaszubski, Justyna Góraj-Koniarska, Joanna Mitrus, Marian Saniewski and Marcin Horbowicz
Molecules 2024, 29(22), 5410; https://doi.org/10.3390/molecules29225410 - 16 Nov 2024
Viewed by 416
Abstract
The herbicide fluridone (1-methyl-3-phenyl-5-[3-trifluoromethyl (phenyl)]-4(1H)-pyridone) interferes with carotenoid biosynthesis in plants by inhibiting the conversion of phytoene to phytofluene. Fluridone also indirectly inhibits the biosynthesis of abscisic acid and strigolactones, and therefore, our study indirectly addresses the effect of reduced ABA on the [...] Read more.
The herbicide fluridone (1-methyl-3-phenyl-5-[3-trifluoromethyl (phenyl)]-4(1H)-pyridone) interferes with carotenoid biosynthesis in plants by inhibiting the conversion of phytoene to phytofluene. Fluridone also indirectly inhibits the biosynthesis of abscisic acid and strigolactones, and therefore, our study indirectly addresses the effect of reduced ABA on the roots and leaf buds development in stem cuttings of Salix babylonica L. ‘Tortuosa’. The stem cuttings were kept in distilled water (control) or in a solution of fluridone (10 mg/L) in natural greenhouse light and temperature conditions. During the experiments, morphological observations were carried out on developing roots and leaf buds, as well as their appearance and growth. After three weeks of continuous treatments, adventitious roots and leaf buds were collected and analysed. Identification and analysis of anthocyanins were carried out using micro-HPLC-MS/MS-TOF, while HPLC-MS/MS was used to analyse phenolic acids, flavonoids and salicinoids. The fluridone applied significantly inhibited root growth, but the number or density of roots was higher compared to the control. Contents of salicortin and salicin were several dozen times higher in leaf buds than in roots of willow. Fluridone increased the content of salicortin in roots and leaf buds and declined the level of salicin in buds. Fluridone also declined the content of most anthocyanins in roots but enhanced their content in buds, especially cyanidin glucoside, cyanidin galactoside and cyanidin rutinoside. Besides, fluridone markedly decreased the level of chlorophylls and carotenoids in the leaf buds. The results indicate that applied fluridone solution reduced root growth, caused bleaching of leaf buds, and markedly affected the content of secondary metabolites in the adventitious roots and leaf buds of S. babylonica stem cuttings. The paper presents and discusses in detail the significance of fluridone’s effects on physiological processes and secondary metabolism. Full article
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Graphical abstract
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<p>Effect of two concentrations of fluridone and treatment time on the development of adventitious root and leaf buds in <span class="html-italic">S. babylonica</span> stem cuttings. Control, water (<b>left</b>), fluridone (5 mg/L, <b>center</b>), fluridone (10 mg/L, <b>right</b>). (<b>a</b>)—the experiment started on 28 March, and the pictures were taken after 2 weeks; (<b>b</b>)—the experiment began on 12 April, and the pictures were taken after 3 weeks. The yellow line indicates the degree of immersion of the stem cuttings in water or fluridone solution.</p>
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<p>Effect of fluridone (10 mg/L) on the content (μg/g DW) of major anthocyanins in roots and leaf buds of <span class="html-italic">S. babylonica</span>) stem cuttings. Explanation of abbreviations: Cya-glu—cyanidin glucoside; Cya-gal—cyanidin galactoside; Del-glu—delphinidin glucoside; Del-ac-glu—delphinidin acetyl-glucoside; Pel-glu—pelargonidin glucoside; Peo-glu—peonidin glucoside. Bars marked with the same letter do not differ at the significance level of <span class="html-italic">p</span> = 0.05, according to Duncan’s test.</p>
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<p>Effect of fluridone (10 mg/L) on the content (μg/g DW) of salicinoids in roots and leaf buds of <span class="html-italic">S. babylonica</span> stem cuttings. Bars marked with the same letter do not differ at the significance level of <span class="html-italic">p</span> = 0.05, according to Duncan’s test.</p>
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15 pages, 38365 KiB  
Article
Functional Analysis of CsWOX4 Gene Mutation Leading to Maple Leaf Type in Cucumber (Cucumis sativus L.)
by Huizhe Wang, Bo Wang, Yiheng Wang, Qiang Deng, Guoqing Lu, Mingming Cao, Wancong Yu, Haiyan Zhao, Mingjie Lyu and Ruihuan Yang
Int. J. Mol. Sci. 2024, 25(22), 12189; https://doi.org/10.3390/ijms252212189 - 13 Nov 2024
Viewed by 379
Abstract
The leaf morphology is an important agronomic trait in crop production. Our study identified a maple leaf type (mlt) cucumber mutant and located the regulatory gene for leaf shape changes through BSA results. Hybrid F1 and F2 populations were generated by [...] Read more.
The leaf morphology is an important agronomic trait in crop production. Our study identified a maple leaf type (mlt) cucumber mutant and located the regulatory gene for leaf shape changes through BSA results. Hybrid F1 and F2 populations were generated by F1 self-crossing, and the candidate mlt genes were identified within the 2.8 Mb region of chromosome 2 using map cloning. Through the sequencing and expression analysis of genes within the bulk segregant analysis (BSA) region, we identified the target gene for leaf shape regulation as CsWOX4 (CsaV3_2G026510). The change from base C to T in the original sequence led to frameshift mutations and the premature termination of translation, resulting in shortened encoded proteins and conserved WUSCHEL (WUS) box sequence loss. The specific expression analysis of the CsWOX4/Cswox4 genes in the roots, stems, leaves and other tissue types of wild-type (WT) and mutant plants revealed that CsWOX4 was higher in the root, but Cswox4 (mutant gene) was significantly higher in the leaf. Subcellular localization analysis revealed that CsWOX4 was localized in the nucleus. RNA-seq analysis revealed that the differentially expressed genes were mainly enriched in the mitochondrial cell cycle phase transition, nucleosome and microtubule binding pathways. Simultaneously, the quantitative analysis of the expression trends of 25 typical genes regulating the leaf types revealed the significant upregulation of CsPIN3. In our study, we found that the conserved domain of CsWOX4 was missing in the mutant, and the transcriptome data revealed that the expression of some genes, such as CsPIN3, changed simultaneously, thereby jointly regulating changes in the cucumber leaf type. Full article
(This article belongs to the Special Issue Vegetable Genetics and Genomics, 3rd Edition)
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<p>Mature and seedling stage characteristics of wild-type “J128” and K39 mutants. (<b>A</b>) Phenotypes of wild type and mutant during the seedling stage. (<b>B</b>), Different phenotypes of wild-type and mutant leaves. Top right: Leaf phenotype of ”J128” wild-type seedlings in the field. Lower right: Leaf phenotype of “K39” seedlings in the field. (<b>C</b>) J128 field growing leaf morphology. (<b>D</b>) K39 field growing leaf morphology.</p>
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<p>MutMap analysis and gene structure analysis of <span class="html-italic">CsWOX4</span>. (<b>A</b>) The distribution of the G-index in 7 chromosomes. The horizontal axis represents the name and length of each chromosome, the vertical axis represents the G-index value, and the red line represents the threshold line corresponding to 95%. (<b>B</b>) Gene structure of <span class="html-italic">CsWOX4</span>. Black boxes represent exons and black lines represent introns. (<b>C</b>) Predicted protein domain of <span class="html-italic">CsWOX4</span>. (<b>D</b>) Coding sequence and amino acid sequence alignment of <span class="html-italic">CsWOX4</span>. Black represents the complete sequence information of <span class="html-italic">CsWOX4,</span> blue represents the amino acids expressed by the mutant cswox4, and * represents the stop codon of <span class="html-italic">cswox4</span>.</p>
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<p>Subcellular localization of <span class="html-italic">CsWOX4</span> protein. Green fluorescent protein GFP: excitation light 488 nm, emission light 510 nm. Red fluorescent protein mKATE excitation light 561 nm emission light 580 nm. Scale bar 10 μm.</p>
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<p>Expression profiles of <span class="html-italic">CsWOX4</span> gene in different tissue types of J128 and K39 mutants detected by qPCR. Values shown are mean ± SD calculated from three biological and three technical replicates. Statistical significance is denoted as *** for <span class="html-italic">p</span> &lt; 0.001 as determined by Student’s <span class="html-italic">t</span>-test.</p>
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<p>SDS–PAGE analysis of CsWOX4 and Cswox4 fusion proteins. M: On the left side is Protein pre-staining marker; IPTG-induced CsWOX4 fusion protein; IPTG-induced Cswox4 fusion protein.</p>
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<p>Transcriptome data analysis of J128 and K39. (<b>A</b>) Differential expression display of “J128” and K39 genomics. (<b>B</b>) Differential gene GO annotation analysis.</p>
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<p>Analysis of key gene expression levels in different regulatory pathways of leaf types. (<b>A</b>) qPCR expression level detection of key genes. (<b>B</b>) Heat map analysis of key gene expression patterns in transcriptome. Values shown are mean ± SD calculated from three biological and three technical replicates. Statistical significance is denoted as * for <span class="html-italic">p</span> &lt; 0.05 and ** for <span class="html-italic">p</span> &lt; 0.01, as determined by Student’s <span class="html-italic">t</span>-test.</p>
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17 pages, 23726 KiB  
Article
Construction and Analysis of miRNA–mRNA Interaction Network in Ovarian Tissue of Wanxi White Geese Across Different Breeding Stages
by Ruidong Li, Yuhua Wang, Fei Xie, Xinwei Tong, Xiaojin Li, Man Ren, Qianqian Hu and Shenghe Li
Animals 2024, 14(22), 3258; https://doi.org/10.3390/ani14223258 - 13 Nov 2024
Viewed by 483
Abstract
Ovarian development significantly influences the laying performance of geese. In this study, the transcriptome analysis was conducted on the ovarian tissues of Wanxi White Geese during the pre-laying (KL), laying (CL), and ceased-laying period (XL). Short Time-series Expression Miner (STEM) analysis and miRNA–mRNA [...] Read more.
Ovarian development significantly influences the laying performance of geese. In this study, the transcriptome analysis was conducted on the ovarian tissues of Wanxi White Geese during the pre-laying (KL), laying (CL), and ceased-laying period (XL). Short Time-series Expression Miner (STEM) analysis and miRNA–mRNA regulatory network construction were performed to identify the key genes and miRNAs regulating laying traits. Comparative analysis of KL vs. CL, CL vs. XL, and XL vs. KL groups resulted in the identification of 337, 136, and 525 differentially expressed genes (DEGs), and 258, 1131, and 909 differentially expressed miRNAs (DEMs), respectively. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis (p < 0.05) revealed that the main enrichment pathways of DEGs and DEMs at different breeding periods were Neuroactive ligand–receptor interaction, GnRH signaling pathway and Wnt signaling pathway, all associated with ovarian development. According to the three groups of common pathways, four DEGs were screened out, including INHBB, BMP5, PRL, and CGA, along with five DEMs, including let-7-x, miR-124-y, miR-1-y, and miR-10926-z, all of them may affect ovarian development. A miRNA–mRNA regulatory network was constructed through integrated analysis of DEGs and DEMs, revealing nine miRNAs highly associated with ovarian development: miR-101-y, let-7-x, miR-1-x, miR-17-y, miR-103-z, miR-204-x, miR-101-x, miR-301-y, and miR-151-x. The dual-luciferase reporter gene verified the target relationship between WIF1 and miR-204-x, suggesting that these miRNAs may influence ovarian development in Wanxi White Goose by regulating the expression levels of their target genes within ovarian tissue. This study provides a theoretical foundation for analyzing the mechanisms of ovarian development across different breeding periods and accelerating the cultivation of new breeds through post-transcriptional regulation levels. Full article
(This article belongs to the Section Animal Genetics and Genomics)
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<p>Ovarian histological analysis of Wanxi White Geese across different egg-laying periods: (<b>A</b>) pre-laying period; (<b>B</b>) laying period; (<b>C</b>) eased period.</p>
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<p>The DEGs in ovary tissues of Wanxi White Geese in different periods: (<b>A</b>) KL vs. CL; (<b>B</b>) CL vs. XL; (<b>C</b>) KL vs. XL.</p>
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<p>Functional analysis of DEGs GO in different periods: (<b>A</b>) KL vs. CL; (<b>B</b>) CL vs. XL; (<b>C</b>) KL vs. XL.</p>
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<p>Functional enrichment analysis of DEGs KEGG in different egg-laying periods: (<b>A</b>) KL vs. CL; (<b>B</b>) CL vs. XL; (<b>C</b>) KL vs. XL.</p>
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<p>The DEMs in ovary tissues of Wanxi White Geese in different periods: (<b>A</b>) KL vs. CL; (<b>B</b>) CL vs. XL; (<b>C</b>) KL vs. XL.</p>
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<p>GO function analysis of DEMs in different periods: (<b>A</b>) KL vs. CL; (<b>B</b>) CL vs. XL; (<b>C</b>) KL vs. XL.</p>
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<p>KEGG function analysis of DEMs in different reproductive periods: (<b>A</b>) KL vs. CL; (<b>B</b>) CL vs. XL; (<b>C</b>) KL vs. XL.</p>
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<p>mRNA STEM analysis diagram.</p>
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<p>KEGG functional enrichment analysis of dynamic DEGs: (<b>A</b>) Profile 2; (<b>B</b>) Profile 5.</p>
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<p>miRNA STEM analysis.</p>
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<p>Profile 5 KEGG functional enrichment analysis.</p>
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<p>The intersection of differentially expressed genes and miRNA target genes at different reproductive stages Wayne diagram: (<b>A</b>) KL vs. CL; (<b>B</b>) CL vs. XL; (<b>C</b>) KL vs. XL.</p>
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<p>KL vs. CL miRNA–mRNA interaction network analysis diagram: (<b>A</b>) KL vs. CL; (<b>B</b>) CL vs. XL; (<b>C</b>) KL vs. XL. Red is up-regulated miRNA, yellow is down-regulated miRNA, and blue is mRNA.</p>
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<p>KEGG enrichment analysis of interaction network: (<b>A</b>) KL vs. CL; (<b>B</b>) CL vs. XL; (<b>C</b>) KL vs. XL.</p>
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<p>RT-qPCR validation of RNA-seq results.</p>
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<p>Double luciferase data analysis diagram.</p>
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