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首页> 外文期刊>African Journal of Biotechnology >Association analysis of important agronomic traits in japonica rice germplasm
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Association analysis of important agronomic traits in japonica rice germplasm

机译：粳稻种质资源重要农艺性状的关联分析

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For unraveling complex genetic traits and for marker-assisted selection in plant breeding, using elite germplasm for quantitative trait loci (QTL) mapping provides advantages over traditional linkage analysis. Association or linkage disequilibrium (LD) mapping revolutionized genetic mapping in humans, and is increasingly being used to examine plant genetics; it has been suggested that it is an efficient way of determining the genetic basis of complex traits. In this study, a natural population comprising 128 japonica rice varieties was investigated during two years, for eleven important agronomic traits. The population was genotyped using 152 microsatellite markers across the whole genome. A unified mixed linear model was used to identify marker-trait associations, taking into account population structure and kinship. A total of 16 significant marker-trait associations were identified. It is noteworthy that the loci exhibiting significant marker-trait associations were in genomic regions also identified as such in previous reports, and some new QTL regions for important agronomic traits were also detected in this study. Our results demonstrate that using association analysis to examine different varieties is an efficient approach and provides indicators that can be used in rice breeding.
机译：为了揭示复杂的遗传特征并在植物育种中进行标记辅助选择，使用精英种质进行定量特征位点（QTL）作图提供了优于传统连锁分析的优势。关联或连锁不平衡（LD）作图彻底改变了人类的遗传图谱，并越来越多地用于检查植物遗传学。已经提出，这是确定复杂性状遗传基础的有效方法。在这项研究中，调查了两年内包含128个粳稻品种的自然种群的11个重要农艺性状。使用整个基因组中的152个微卫星标记对种群进行基因分型。考虑到种群结构和亲属关系，使用统一的混合线性模型来识别标记-性状关联。总共确定了16个显着的标记-性状关联。值得注意的是，在以前的报道中，同样在基因组区域也显示出具有显着的标记-性状关联的基因座，并且在这项研究中还发现了一些重要的农艺性状的新的QTL区域。我们的结果表明，使用关联分析来检查不同品种是一种有效的方法，并提供了可用于水稻育种的指标。

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