GWAS revealed effect of genotype x environment interactions for grain yield of Nebraska winter wheat

被引:52
|
作者
Eltaher, Shamseldeen [1 ,2 ]
Baenziger, P. Stephen [1 ]
Belamkar, Vikas [1 ]
Emara, Hamdy A. [2 ]
Nower, Ahmed A. [2 ]
Salem, Khaled F. M. [2 ,3 ]
Alqudah, Ahmad M. [4 ]
Sallam, Ahmed [5 ]
机构
[1] Univ Nebraska Lincoln, Dept Agron & Hort, Lincoln, NE USA
[2] Univ Sadat City USC, Dept Plant Biotechnol, Genet Engn & Biotechnol Res Inst GEBRI, Sadat City, Egypt
[3] Shaqra Univ, Dept Biol, Coll Sci & Humanitarian Studies, Qwaieah, Saudi Arabia
[4] Martin Luther Univ Halle Wittenberg, Inst Agr & Nutr Sci, Betty Heimann Str 3, D-06120 Halle, Saale, Germany
[5] Assiut Univ, Dept Genet, Fac Agr, Assiut 71526, Egypt
关键词
Bread wheat (Triticum aestivum L; Yield; LD; Association mapping; Gene annotation; Breeding programs; GENOME-WIDE ASSOCIATION; FED DURUM-WHEAT; AGRONOMIC TRAITS; BIPLOT ANALYSIS; SPRING WHEAT; POPULATION-STRUCTURE; DROUGHT TOLERANCE; RICE; QTL; SELECTION;
D O I
10.1186/s12864-020-07308-0
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Background Improving grain yield in cereals especially in wheat is a main objective for plant breeders. One of the main constrains for improving this trait is the G x E interaction (GEI) which affects the performance of wheat genotypes in different environments. Selecting high yielding genotypes that can be used for a target set of environments is needed. Phenotypic selection can be misleading due to the environmental conditions. Incorporating information from phenotypic and genomic analyses can be useful in selecting the higher yielding genotypes for a group of environments. Results A set of 270 F-3:6 wheat genotypes in the Nebraska winter wheat breeding program was tested for grain yield in nine environments. High genetic variation for grain yield was found among the genotypes. G x E interaction was also highly significant. The highest yielding genotype differed in each environment. The correlation for grain yield among the nine environments was low (0 to 0.43). Genome-wide association study revealed 70 marker traits association (MTAs) associated with increased grain yield. The analysis of linkage disequilibrium revealed 16 genomic regions with a highly significant linkage disequilibrium (LD). The candidate parents' genotypes for improving grain yield in a group of environments were selected based on three criteria; number of alleles associated with increased grain yield in each selected genotype, genetic distance among the selected genotypes, and number of different alleles between each two selected parents. Conclusion Although G x E interaction was present, the advances in DNA technology provided very useful tools and analyzes. Such features helped to genetically select the highest yielding genotypes that can be used to cross grain production in a group of environments.
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页数:14
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