文献类型: 外文期刊
作者: Wen, Weiliang 1 ; Wang, Jinglu 1 ; Zhao, Yanxin 3 ; Wang, Chuanyu 1 ; Liu, Kai 2 ; Chen, Bo 2 ; Wang, Yuanqiao 2 ; Duan, Minxiao 3 ; Guo, Xinyu 1 ;
作者机构: 1.Beijing Acad Agr & Forestry Sci, Informat Technol Res Ctr, Beijing 100097, Peoples R China
2.Natl Engn Res Ctr Informat Technol Agr, Beijing Key Lab Digital Plant, Beijing 100097, Peoples R China
3.Beijing Acad Agr & Forestry Sci, Maize Res Ctr, Beijing Key Lab Maize DNA DeoxyriboNucle Acid Fing, Beijing 100097, Peoples R China
期刊名称:PLANT PHENOMICS ( 影响因子:7.6; 五年影响因子:7.7 )
ISSN: 2643-6515
年卷期: 2024 年 6 卷
页码:
收录情况: SCI
摘要: Marked variations in the 3-dimensional (3D) shape of corn leaves can be discerned as a function of various influences, including genetics, environmental factors, and the management of cultivation processes. However, the causes of these variations remain unclear, primarily due to the absence of quantitative methods to describe the 3D spatial morphology of leaves. To address this issue, this study acquired 3D digitized data of ear-position leaves from 478 corn inbred lines during the grain-filling stage. We propose quantitative calculation methods for 13 3D leaf shape features, such as the leaf length, 3D leaf area, leaf inclination angle, blade-included angle, blade self-twisting, blade planarity, and margin amplitude. Correlation analysis, cluster analysis, and heritability analysis were conducted among the 13 leaf traits. Leaf morphology differences among subpopulations of the inbred lines were also analyzed. The results revealed that the 3D leaf traits are capable of revealing the morphological differences among different leaf surfaces, and the genetic analysis revealed that 84.62% of the 3D phenotypic traits of ear-position leaves had a heritability greater than 0.3. However, the majority of 3D leaf shape traits were strongly affected by environmental conditions. Overall, this study quantitatively investigated 3D leaf shape in corn, providing a reliable basis for further research on the genetic regulation of corn leaf morphology and advancing the understanding of the complex interplay among crop genetics, phenotypes, and the environment.
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