您好，欢迎访问北京市农林科学院 机构知识库！
北京市农林科学院机构知识库

全部

  • 全部
  • 标题
  • 学者
  • 机构
  • 关键词

Using high-throughput phenotyping platform MVS-Pheno to decipher the genetic architecture of plant spatial geometric 3D phenotypes for maize

文献类型： 外文期刊

作者： Wu, Sheng 1 ; Zhang, Ying 1 ; Zhao, Yanxin 3 ; Wen, Weiliang 1 ; Wang, Chuanyu 1 ; Lu, Xianju 1 ; Guo, Minkun 1 ; Guo, Xinyu 1 ; Zhao, Jiuran 1 ; Zhao, Chunjiang 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 Fingerprinting & Mol Bre, Beijing 100097, Peoples R China

关键词： Maize; Plant architecture; 3D phenotypes; Genome-wide association study

期刊名称：COMPUTERS AND ELECTRONICS IN AGRICULTURE （ 影响因子：7.7； 五年影响因子：8.4 ）

ISSN： 0168-1699

年卷期： 2024 年 225 卷

页码：

收录情况： SCI

摘要： Maize (Zea mays) is one of the world's most important crops, and its abundant and stable yield is crucial for ensuring global food security. Optimizing maize plant architecture can effectively enhance canopy structure, and ensure an ample supply of assimilates, thereby constituting a crucial strategy for achieving high yields in highdensity planting systems. In this study, we used the phenotyping platform MVS-Pheno to synchronously collect multi-view image data of plant architecture, and the 3D phenotype analysis algorithm was developed to batch and automatically extract traits of spatial geometric structure. Using this phenotypic acquisition and analysis platform, 44 traits of maize plant architecture were defined and extracted, including 6 categories: basic phenotype, projection area related phenotype, leaf related phenotype, plant architecture dispersion related phenotype, volume related phenotype, and color related phenotype. Based on abundant phenotypic traits of plant architecture, we analyzed the phenotypic variations among a group of 495 inbred lines and further conducted GWAS to reveal the genetic components of the plant architecture. In summary, our work demonstrates valuable advances in high-throughput identification of qualitative traits for plant architecture, which could have major implications for improving high-density tolerant maize breeding and production.

  • 相关文献
作者其他论文 更多>>
置顶
购物车
反馈

© 京ICP备09089781号-29 主办单位：北京市农林科学院

学术资源： 中国农业科学院 农业专业知识服务系统 农科联盟资源共建共享平台 中国农业科技文献与信息服务平台 中国农业期刊集成服务平台