Analysis of stomatal characteristics of maize hybrids and their parental inbred lines during critical reproductive periods
The stomatal phenotype is a crucial microscopic characteristic of the leaf surface, and modulating the stomata of maize leaves can enhance photosynthetic carbon assimilation and water use efficiency, thereby playing a vital role in maize yield formation. The evolving imaging and image processing tec...
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Plant Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2024.1442686/full |
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| author | Changyu Zhang Changyu Zhang Yu Jin Yu Jin Jinglu Wang Jinglu Wang Ying Zhang Ying Zhang Yanxin Zhao Xianju Lu Xianju Lu Wei Song Xinyu Guo Xinyu Guo |
| author_facet | Changyu Zhang Changyu Zhang Yu Jin Yu Jin Jinglu Wang Jinglu Wang Ying Zhang Ying Zhang Yanxin Zhao Xianju Lu Xianju Lu Wei Song Xinyu Guo Xinyu Guo |
| author_sort | Changyu Zhang |
| collection | DOAJ |
| description | The stomatal phenotype is a crucial microscopic characteristic of the leaf surface, and modulating the stomata of maize leaves can enhance photosynthetic carbon assimilation and water use efficiency, thereby playing a vital role in maize yield formation. The evolving imaging and image processing technologies offer effective tools for precise analysis of stomatal phenotypes. This study employed Jingnongke 728 and its parental inbred to capture stomatal images from various leaf positions and abaxial surfaces during key reproductive stages using rapid scanning electron microscopy. We uesd a target detection and image segmentation approach based on YOLOv5s and Unet to efficiently obtain 11 phenotypic traits encompassing stomatal count, shape, and distribution. Manual validation revealed high detection accuracies for stomatal density, width, and length, with R2 values of 0.92, 0.97, and 0.95, respectively. Phenotypic analyses indicated a significant positive correlation between stomatal density and the percentage of guard cells and pore area (r=0.36), and a negative correlation with stomatal area and subsidiary cell area (r=-0.34 and -0.46). Additionally, stomatal traits exhibited notable variations with reproductive stages and leaf layers. Specifically, at the monocot scale, stomatal density increased from 74.35 to 87.19 Counts/mm2 from lower to upper leaf layers. Concurrently, the stomatal shape shifted from sub-circular (stomatal roundness = 0.64) to narrow and elongated (stomatal roundness = 0.63). Throughout the growth cycle, stomatal density remained stable during vegetative growth, decreased during reproductive growth with smaller size and narrower shape, and continued to decline while increasing in size and tending towards a rounded shape during senescence. Remarkably, hybrid 728 differed notably from its parents in stomatal phenotype, particularly during senescence. Moreover, the stomatal density of the hybrids showed negative super parental heterosis (heterosis rate = -0.09), whereas stomatal dimensions exhibited positive super parental heterosis, generally resembling the parent MC01. This investigation unveils the dynamic variations in maize stomatal phenotypes, bolstering genetic analyses and targeted improvements in maize, and presenting a novel technological instrument for plant phenotype studies. |
| format | Article |
| id | doaj-art-9ac138ca89a54b48a5f52d3e464f4999 |
| institution | Kabale University |
| issn | 1664-462X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Plant Science |
| spelling | doaj-art-9ac138ca89a54b48a5f52d3e464f49992025-01-16T06:10:51ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2025-01-011510.3389/fpls.2024.14426861442686Analysis of stomatal characteristics of maize hybrids and their parental inbred lines during critical reproductive periodsChangyu Zhang0Changyu Zhang1Yu Jin2Yu Jin3Jinglu Wang4Jinglu Wang5Ying Zhang6Ying Zhang7Yanxin Zhao8Xianju Lu9Xianju Lu10Wei Song11Xinyu Guo12Xinyu Guo13Beijing Key Lab of Digital Plant, Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, ChinaNational Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing, ChinaBeijing Key Lab of Digital Plant, Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, ChinaNational Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing, ChinaBeijing Key Lab of Digital Plant, Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, ChinaNational Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing, ChinaBeijing Key Lab of Digital Plant, Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, ChinaNational Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing, ChinaBeijing Key Laboratory of Maize DeoxyriboNucleic Acid (DNA) Fingerprinting and Molecular Breeding, Maize Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, ChinaBeijing Key Lab of Digital Plant, Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, ChinaNational Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing, ChinaKey Laboratory of Crop Genetics and Breeding of Hebei Province, Institute of Cereal and Oil Crops, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang, ChinaBeijing Key Lab of Digital Plant, Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing, ChinaNational Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing, ChinaThe stomatal phenotype is a crucial microscopic characteristic of the leaf surface, and modulating the stomata of maize leaves can enhance photosynthetic carbon assimilation and water use efficiency, thereby playing a vital role in maize yield formation. The evolving imaging and image processing technologies offer effective tools for precise analysis of stomatal phenotypes. This study employed Jingnongke 728 and its parental inbred to capture stomatal images from various leaf positions and abaxial surfaces during key reproductive stages using rapid scanning electron microscopy. We uesd a target detection and image segmentation approach based on YOLOv5s and Unet to efficiently obtain 11 phenotypic traits encompassing stomatal count, shape, and distribution. Manual validation revealed high detection accuracies for stomatal density, width, and length, with R2 values of 0.92, 0.97, and 0.95, respectively. Phenotypic analyses indicated a significant positive correlation between stomatal density and the percentage of guard cells and pore area (r=0.36), and a negative correlation with stomatal area and subsidiary cell area (r=-0.34 and -0.46). Additionally, stomatal traits exhibited notable variations with reproductive stages and leaf layers. Specifically, at the monocot scale, stomatal density increased from 74.35 to 87.19 Counts/mm2 from lower to upper leaf layers. Concurrently, the stomatal shape shifted from sub-circular (stomatal roundness = 0.64) to narrow and elongated (stomatal roundness = 0.63). Throughout the growth cycle, stomatal density remained stable during vegetative growth, decreased during reproductive growth with smaller size and narrower shape, and continued to decline while increasing in size and tending towards a rounded shape during senescence. Remarkably, hybrid 728 differed notably from its parents in stomatal phenotype, particularly during senescence. Moreover, the stomatal density of the hybrids showed negative super parental heterosis (heterosis rate = -0.09), whereas stomatal dimensions exhibited positive super parental heterosis, generally resembling the parent MC01. This investigation unveils the dynamic variations in maize stomatal phenotypes, bolstering genetic analyses and targeted improvements in maize, and presenting a novel technological instrument for plant phenotype studies.https://www.frontiersin.org/articles/10.3389/fpls.2024.1442686/fullmaizehybridsstomatal phenotypeshigh-throughput acquisitiondeep learning |
| spellingShingle | Changyu Zhang Changyu Zhang Yu Jin Yu Jin Jinglu Wang Jinglu Wang Ying Zhang Ying Zhang Yanxin Zhao Xianju Lu Xianju Lu Wei Song Xinyu Guo Xinyu Guo Analysis of stomatal characteristics of maize hybrids and their parental inbred lines during critical reproductive periods Frontiers in Plant Science maize hybrids stomatal phenotypes high-throughput acquisition deep learning |
| title | Analysis of stomatal characteristics of maize hybrids and their parental inbred lines during critical reproductive periods |
| title_full | Analysis of stomatal characteristics of maize hybrids and their parental inbred lines during critical reproductive periods |
| title_fullStr | Analysis of stomatal characteristics of maize hybrids and their parental inbred lines during critical reproductive periods |
| title_full_unstemmed | Analysis of stomatal characteristics of maize hybrids and their parental inbred lines during critical reproductive periods |
| title_short | Analysis of stomatal characteristics of maize hybrids and their parental inbred lines during critical reproductive periods |
| title_sort | analysis of stomatal characteristics of maize hybrids and their parental inbred lines during critical reproductive periods |
| topic | maize hybrids stomatal phenotypes high-throughput acquisition deep learning |
| url | https://www.frontiersin.org/articles/10.3389/fpls.2024.1442686/full |
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