Genome-wide prediction for hybrids between parents with distinguished difference on exotic introgressions in Brassica napus

作     者：Dandan Hu Yusheng Zhao Jinxiong Shen Xiangxiang He Yikai Zhang Yong Jiang Rod Snowdon Jinling Meng Jochen C.Reif Jun Zou Dandan Hu;Yusheng Zhao;Jinxiong Shen;Xiangxiang He;Yikai Zhang;Yong Jiang;Rod Snowdon;Jinling Meng;Jochen C.Reif;Jun Zou

作者机构：National Key Laboratory of Crop Genetic ImprovementCollege of Plant Science&TechnologyHuazhong Agricultural UniversityWuhan 430070HubeiChina Department of Breeding ResearchLeibniz Institute of Plant Genetics and Crop Plant Research(IPK)Stadt Seeland 06466Germany Department of Plant BreedingIFZ Research Centre for BiosystemsLand Use and NutritionJustus Liebig UniversityGiessen 35392Germany 

出 版 物：《The Crop Journal》 (作物学报（英文版）)

年 卷 期：2021年第9卷第5期

页      面：1169-1178页

核心收录：

学科分类：09[农学] 0901[农学-作物学] 

基　　金：supported by the National Natural Science Foundation of China (NSFC-DFG, 31861133016 NSFC, 31970564) 

主　　题：Hybrid Genome-wide prediction Exotic introgression Brassica napus Heterosis 

摘      要：Extensive exotic introgression could significantly enlarge the genetic distance of hybrid parental populations to promote strong *** goal of this study was to investigate whether genome-wide prediction can support pre-breeding in populations with exotic *** evaluated seed yield,seed yield related traits and seed quality traits of 363 hybrids of Brassica napus (AACC) derived from two parental populations divergent on massive exotic introgression of related species in three *** hybrids presented strong heterosis on seed yield,which was much higher than other investigated *** genomic best linear unbiased prediction models considering the exotic introgression and different marker effects (additive,dominance,and epistatic effects) were constructed to test the prediction ability for different traits of the *** analysis showed that the trait complexity,exotic introgression,genetic relationship between the training set and testing set,training set size,and environments affected the prediction *** models with best prediction ability for different traits ***,relatively high prediction ability (e.g.,0.728 for seed yield) was also observed when the simplest models were used,excluding the effects of the special exotic introgression and epistasis effect by5-fold cross validation,which would simplify the prediction for the trait with complex architecture for hybrids with exotic *** results provide novel insights and strategies for genome-wide prediction of hybrids between genetically distinct parent groups with exotic introgressions.