首页> 外文期刊>Frontiers in Plant Science >Identification of Major Effect QTLs for Agronomic Traits and CSSLs in Rice from Swarna/ Oryza nivara Derived Backcross Inbred Lines
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Identification of Major Effect QTLs for Agronomic Traits and CSSLs in Rice from Swarna/ Oryza nivara Derived Backcross Inbred Lines

机译:鉴定Swarna / <斜景的农艺性状和CSSLS的主要影响QTLS和CSSL> oryza nivara 衍生的回交自交系

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Backcross inbred lines (BILs) derived from elite x wild crosses are very useful for basic studies and breeding. The aim of this study was to map quantitative trait loci (QTLs) associated with yield and related traits and to identify chromosomal segment substitution lines (CSSLs) from unselected BC_(2)F_(8)BILs of Swarna/ Oryza nivara IRGC81848. In all, 94 BILs were field evaluated in 2 years (wet seasons, 2014 and 2015) for nine traits; days to 50% flowering, days to maturity (DM), plant height (PH), number of tillers, number of productive tillers, panicle weight, yield per plant, bulk yield, and biomass. BILs were genotyped using 111 polymorphic simple sequence repeats distributed across the genome. Fifteen QTLs including 10 novel QTLs were identified using composite interval mapping, Inclusive composite interval mapping and multiple interval mapping (MIM). O. nivara alleles were trait-enhancing in 26% of QTLs. Only 3 of 15 QTLs were also reported previously in BC_(2)F_(2)of the same cross. These three included the two major effect QTLs for DM and PH detected in both years with 13 and 20% phenotypic variance. Further, a set of 74 CSSLs was identified using CSSL Finder and 22 of these showed significantly higher values than Swarna for five yield traits. CSSLs, 220S for panicle weight and 10-2S with consistent high yield in both years are worthy of large scale field evaluation. The major QTLs and 22 significantly different CSSLs are a useful resource for rice improvement and dissecting yield related traits.
机译:来自Elite X野生十字架的回交自交系(BIL)对于基础研究和育种非常有用。本研究的目的是映射与产量和相关性状相关的定量性状基因座(QTL),并鉴定来自未选择的BC_(2)F_(8)个BIL的糖果节/奥里扎NIVARA IRGC81848的染色体分段取代线(CSSL)。总之,94个BILS是在2年(潮湿的季节,2014和2015)中评估的九个特征;天至50%开花,天数到成熟(DM),植物高度(pH),分蘖数,生产分蘖数量,穗重量,植物产量,散装产量和生物质。使用111种多态性简单序列重复分布在基因组上的111个多晶型简单序列进行基因分型。使用复合间隔映射,包含复合间隔映射和多个间隔映射(MIM)来识别包括10个新型QTL的十五个QTL。 O. Nivara等位基因在26%的QTL中提高了特质。在同一交叉的BC_(2)F_(2)中,也仅报道了15个QTL中的3个。这三个包括在两年内检测到DM和pH的两种主要效果QTL,其表型方差13%和20%。此外,使用CSSL Finder鉴定了一组74个CSSL,其中22个显着较高的值比淋巴瘤为5个产量性状。 CSSLS,220s用于胰穗重量和10-2岁,两年内具有一致的高产量值得大规模的场地评估。主要的QTL和22显着不同的CSSL是水稻改善和解剖产量相关性状的有用资源。

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