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Identification of main effects, epistatic effects and their environmental interactions of QTLs for yield traits in rice

机译:鉴定QTLs对水稻产量性状的主要影响,上位效应及其与环境的相互作用

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Quantitative trait loci (QTLs) controlling yield and yield components were identified by using a doubled haploid (DH) population of 120 lines from a sub-specific cross between 'Samgang' {Indicd) and 'Nagdong' (Japonica). Main effects, epistatic effects, their environment interactions of QTLs were analyzed via mixed linear model approach across different environments. A total of 17 putative QTLs were identified on 8 chromosomes and five QTLs were detected over two years. 7 QTLs of main effects and 23epistatic interactions were observed for five traits. Epistatic interactions played an important role in controlling the expression of yield related traits. The epistatic effects explained higher percentages of phenotype variation for panicles per plant,seed set percentage and yield. Significant QTL X environment (QE) interactions effects were identified for all traits, including 5 main effect QTLs. However, the present study failed to identify the significant interactions between epistatic loci containing main effect QTLs and the environment. The information provided in the present study could be used in the marker-assisted selection to enhance selection efficiency and to improve yield in rice.
机译:通过使用来自'Samgang'(指示)和'Nagdong'(粳稻)之间的亚特异性杂交的120系的双倍单倍体(DH)群体,确定了控制产量和产量组成的数量性状基因座(QTL)。通过混合线性模型方法在不同环境中分析了QTL的主要作用,上位作用及其与环境的相互作用。在两年内,在8条染色体上总共鉴定出17个QTL,并检测到5个QTL。观察到5个性状的7个主要效应的QTL和23个上位性相互作用。上位性相互作用在控制产量相关性状的表达中起重要作用。上位性效应解释了每株圆锥花序表型变异的百分比更高,种子结实的百分比和产量更高。确定了所有性状的重要QTL X环境(QE)相互作用效应,包括5个主要效应QTL。但是,本研究未能确定上位基因位点和主要环境之间的重要相互作用。本研究提供的信息可用于标记辅助选择,以提高选择效率并提高水稻产量。

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