Genome-Wide Analysis of Grain Yield Stability and Environmental Interactions in a Multiparental Soybean Population

G3: Genes, Genomes, Genetics

William Schapaugh^12¹  Diego Jarquin^2²  Dechun Wang^11³  Vishnu Ramasubramanian^4⁴  Leah McHale^10⁵  Alencar Xavier^1⁶  Aaron J. Lorenz^13⁷  William D. Beavis^4⁸  James E. Specht^2⁹  Perry B. Cregan^6^1,10  Rouf Mian^8^1,11  J. Grover Shannon^9^1,12  Randall Nelson^7^1,13  Reka Howard^3^1,14  Qijian Song^6^1,15  Brian W. Diers^5^1,16  George L. Graef^2^1,17 

[1] Botany and Plant Sciences, University of California, Riverside, California 92521^14;Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Nebraska 68583^2;Department of Agronomy and Plant Genetics, University of Minnesota, Saint Paul, Minnesota 55108^13;Department of Agronomy, Iowa State University, Ames, Iowa 50011^4;Department of Agronomy, Kansas State University, Manhattan, Kansas 66506^12;Department of Agronomy, Purdue University, West Lafayette, Indiana 47907^1;Department of Animal Sciences, Purdue University, West Lafayette, Indiana 47907^15;Department of Crop Sciences, University of Illinois, Urbana, Illinois 61801;Department of Crop Sciences, University of Illinois, Urbana, Illinois 61801^5;Department of Crop and Soil Sciences, North Carolina State University, Raleigh, North Carolina 27607^8;Department of Horticulture and Crop Sciences, Ohio State University, Columbus, Ohio 43210^10;Department of Plant Sciences, Michigan State University, East Lansing, Michigan 48824^11;Department of Plant Sciences, University of Missouri, Portageville, Missouri 63873^9;Department of Statistics, University of Nebraska-Lincoln, Nebraska 68583^3;USDA-ARS, Raleigh, North Carolina 27607;USDA-ARS, Urbana, Illinois 61801^7;United States Department of Agriculture (USDA)-Agricultural Research Service (ARS), Beltsville, Maryland 20705^6

关键词: Finlay-Wilkinson index;    GGE;    association mapping;    meta-analysis;    SoyNAM;    Multiparent Advanced Generation Inter-Cross (MAGIC);    multiparental populations;    MPP;   

DOI  :  10.1534/g3.117.300300

学科分类：生物科学（综合）

来源: Genetics Society of America

【 摘 要 】

Genetic improvement toward optimized and stable agronomic performance of soybean genotypes is desirable for food security. Understanding how genotypes perform in different environmental conditions helps breeders develop sustainable cultivars adapted to target regions. Complex traits of importance are known to be controlled by a large number of genomic regions with small effects whose magnitude and direction are modulated by environmental factors. Knowledge of the constraints and undesirable effects resulting from genotype by environmental interactions is a key objective in improving selection procedures in soybean breeding programs. In this study, the genetic basis of soybean grain yield responsiveness to environmental factors was examined in a large soybean nested association population. For this, a genome-wide association to performance stability estimates generated from a Finlay-Wilkinson analysis and the inclusion of the interaction between marker genotypes and environmental factors was implemented. Genomic footprints were investigated by analysis and meta-analysis using a recently published multiparent model. Results indicated that specific soybean genomic regions were associated with stability, and that multiplicative interactions were present between environments and genetic background. Seven genomic regions in six chromosomes were identified as being associated with genotype-by-environment interactions. This study provides insight into genomic assisted breeding aimed at achieving a more stable agronomic performance of soybean, and documented opportunities to exploit genomic regions that were specifically associated with interactions involving environments and subpopulations.

【 授权许可】

CC BY