Literature DB >> 31555889

Genetic architecture of phenotypic means and plasticities of kernel size and weight in maize.

Chunhui Li1, Xun Wu1, Yongxiang Li1, Yunsu Shi1, Yanchun Song1, Dengfeng Zhang1, Yu Li2, Tianyu Wang3.   

Abstract

KEY MESSAGE: Genetic relationships between the phenotypic means and plasticities of kernel size and weight revealed the common genetic control of these traits in maize. Kernel size and weight are crucial components of grain yield in maize, and phenotypic plasticity in these traits facilitates adaptations to changing environments. Elucidating the genetic architecture of the mean phenotypic values and plasticities of kernel size and weight may be essential for breeding climate-robust maize varieties. Here, a maize nested association mapping (CN-NAM) population and association panel were grown in different environments. A joint linkage analysis and genome-wide association mapping were performed for five kernel size and weight phenotypic traits and two phenotypic plasticity measures. The mean phenotypes and plasticities were significantly correlated. The overall results of quantitative trait locus (QTL) and candidate gene analyses indicated moderate and high levels of common genetic control for the two traits. Furthermore, the mean phenotypes or plasticities of the hundred-kernel weight and volume were commonly regulated to a high degree. One pleiotropic locus on chromosome 10 simultaneously controlled the mean phenotypic values and plasticities of kernel size and weight. Therefore, the plasticity of kernel size and weight might be indirectly selected during maize breeding; however, selecting for high or low plasticity in combination with high or low mean phenotypic values of kernel size and weight traits may be difficult.

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Year:  2019        PMID: 31555889     DOI: 10.1007/s00122-019-03426-w

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  41 in total

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6.  The Conserved and Unique Genetic Architecture of Kernel Size and Weight in Maize and Rice.

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Journal:  Plant Physiol       Date:  2017-08-15       Impact factor: 8.340

7.  Distinct genetic architectures for male and female inflorescence traits of maize.

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Journal:  PLoS Genet       Date:  2011-11-17       Impact factor: 5.917

8.  Exploring Identity-By-Descent Segments and Putative Functions Using Different Foundation Parents in Maize.

Authors:  Xun Wu; Yongxiang Li; Junjie Fu; Xin Li; Chunhui Li; Dengfeng Zhang; Yunsu Shi; Yanchun Song; Yu Li; Tianyu Wang
Journal:  PLoS One       Date:  2016-12-20       Impact factor: 3.240

9.  Analysis of heterosis and quantitative trait loci for kernel shape related traits using triple testcross population in maize.

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Journal:  PLoS One       Date:  2015-04-28       Impact factor: 3.240

10.  Analysis of genetic differentiation and genomic variation to reveal potential regions of importance during maize improvement.

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Journal:  BMC Plant Biol       Date:  2015-10-24       Impact factor: 4.215

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  3 in total

1.  Genome-Wide Association Analysis for Candidate Genes Contributing to Kernel-Related Traits in Maize.

Authors:  Zhibo Qu; Ying Wu; Die Hu; Ting Li; Hangyu Liang; Fan Ye; Jiquan Xue; Shutu Xu
Journal:  Front Plant Sci       Date:  2022-05-24       Impact factor: 6.627

2.  Association Mapping and Transcriptome Analysis Reveal the Genetic Architecture of Maize Kernel Size.

Authors:  Juan Ma; Lifeng Wang; Yanyong Cao; Hao Wang; Huiyong Li
Journal:  Front Plant Sci       Date:  2021-03-18       Impact factor: 5.753

3.  Wheat individual grain-size variance originates from crop development and from specific genetic determinism.

Authors:  Aurore Beral; Renaud Rincent; Jacques Le Gouis; Christine Girousse; Vincent Allard
Journal:  PLoS One       Date:  2020-03-26       Impact factor: 3.240

  3 in total

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