Genetic and Environmental Patterns Underlying Phenotypic Plasticity in Flowering Time and Plant Height in Sorghum

Phenotypic plasticity is the property of a genotype to produce different phenotypes under different environmental conditions. Understanding genetic and environmental factors behind phenotypic plasticity helps answer some longstanding biology questions and improve phenotype prediction. In this study, we investigated the phenotypic plasticity of flowering time and plant height with a set of diverse sorghum lines evaluated across 14 natural field environments. An environmental index was identified to quantitatively connect the environments. Reaction norms were then obtained with the identified indices for genetic dissection of phenotypic plasticity and performance prediction. Genome-wide association studies (GWAS) detected different sets of loci for reaction-norm parameters (intercept and slope), including 10 new genomic regions in addition to known maturity (Ma1) and dwarfing genes (Dw1, Dw2, Dw3, Dw4 and qHT7.1). Cross-validations under multiple scenarios showed promising results in predicting diverse germplasm in dynamic environments. Additional experiments conducted at four new environments, including one from a site outside of the geographical region of the initial environments, further validated the predictions. Our findings indicate that identifying the environmental index enriches our understanding of gene-environmental interplay underlying phenotypic plasticity, and that genomic prediction with the environmental dimension facilitates prediction-guided breeding for future environments.

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Publication Details

Journal
Plant Cell & Environment
Published
2024-10-16
DOI
https://doi.org/10.1111/pce.15213
Citations
14
Primary Topic
Genetic Mapping and Diversity in Plants and Animals
Type
article
Field-Weighted Citation Impact
7.70

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article

Genetic and Environmental Patterns Underlying Phenotypic Plasticity in Flowering Time and Plant Height in Sorghum

Leo Hoffmann, Richard Elmer Boyles, Xianran Li, Jianming Yu et al.
14 citations
Plant Cell & Environment
Genetic Mapping and Diversity in Plants and Animals
7.70
article

Genetic and Environmental Patterns Underlying Phenotypic Plasticity in Flowering Time and Plant Height in Sorghum

Leo Hoffmann, Richard Elmer Boyles, Xianran Li, Jianming Yu, Brandi Sigmon, Jialu Wei, Tingting Guo, Ravi V. Mural, Maria G. Salas Fernandez, Addie Thompson, Qi Mu, Stephen Kresovich, James C. Schnable, Boris M.E. Alladassi, William L. Rooney, Chad Hayes
article en
14 citations

Abstract

Phenotypic plasticity is the property of a genotype to produce different phenotypes under different environmental conditions. Understanding genetic and environmental factors behind phenotypic plasticity helps answer some longstanding biology questions and improve phenotype prediction. In this study, we investigated the phenotypic plasticity of flowering time and plant height with a set of diverse sorghum lines evaluated across 14 natural field environments. An environmental index was identified to quantitatively connect the environments. Reaction norms were then obtained with the identified indices for genetic dissection of phenotypic plasticity and performance prediction. Genome-wide association studies (GWAS) detected different sets of loci for reaction-norm parameters (intercept and slope), including 10 new genomic regions in addition to known maturity (Ma1) and dwarfing genes (Dw1, Dw2, Dw3, Dw4 and qHT7.1). Cross-validations under multiple scenarios showed promising results in predicting diverse germplasm in dynamic environments. Additional experiments conducted at four new environments, including one from a site outside of the geographical region of the initial environments, further validated the predictions. Our findings indicate that identifying the environmental index enriches our understanding of gene-environmental interplay underlying phenotypic plasticity, and that genomic prediction with the environmental dimension facilitates prediction-guided breeding for future environments.

Plant Cell & EnvironmentVol. 48(4)
University of Nebraska–Lincoln (US), Iowa State University (US), South Dakota State University (US), Quality Research (US), Clemson University (US), Michigan State University (US), Texas A&M University (US)
U.S. Department of Agriculture, Iowa State University, China Scholarship Council, National Institute of Food and Agriculture, Plant Sciences Institute, Iowa State University, Raymond F. Baker Center for Plant Breeding
Life in Land
Openalex Percentile: Top 2%
Genetic Mapping and Diversity in Plants and Animals
7.70
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