The detection of QTLs in barley associated with endosperm hardness, grain density, grain size and malting quality using rapid phenotyping tools
The detection of QTLs in barley associated with endosperm hardness, grain density, grain size and malting quality using rapid phenotyping tools
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DOI：
10.1007/s00122-013-2153-2
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发表时间：
2013-10-01
影响因子：
5.4
通讯作者：
Panozzo, Joe F.
中科院分区：
文献类型：
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作者：
Walker, Cassandra K.;Ford, Rebecca;Panozzo, Joe F.
利用大麦定位群体“Vlamingh”x“Buloke”（V x B），对籽粒物理性状和麦芽品质进行了全谷物分析。采用数字图像分析（DIA）预测籽粒密度和大小，近红外分析（NIR）预测麦芽提取物和蛋白质含量。DIA和NIR算法的验证证实，QTL分析数据高度相关（R (2) > 0.82）， RPD值较高（预测标准误差与标准差之比为2.31-9.06）。利用单粒鉴定系统对该定位群体的胚乳硬度进行了测定。3种环境下籽粒密度与胚乳硬度呈极显著相关（r < 0.22, P < 0.001）；然而，其他谷物成分被发现与性状相互作用。这些性状的QTL分布在不同的基因组区域，如粒密度QTL分布在2H和6H染色体上，胚乳硬度QTL分布在1H、5H和7H染色体上。在本研究中，与籽粒质地相关的大部分基因组区域也与籽粒大小、产量、开花日期和/或植物发育基因的qtl一致。本研究强调了与胚乳硬度和籽粒密度变异相关的基因组区域的复杂性，以及它们与籽粒大小性状、农艺性状和植物发育位点的关系。
Using a barley mapping population, 'Vlamingh' x 'Buloke' (V x B), whole grain analyses were undertaken for physical seed traits and malting quality. Grain density and size were predicted by digital image analysis (DIA), while malt extract and protein content were predicted using near infrared (NIR) analysis. Validation of DIA and NIR algorithms confirmed that data for QTL analysis was highly correlated (R (2) > 0.82), with high RPD values (the ratio of the standard error of prediction to the standard deviation, 2.31-9.06). Endosperm hardness was measured on this mapping population using the single kernel characterisation system. Grain density and endosperm hardness were significantly inter-correlated in all three environments (r > 0.22, P < 0.001); however, other grain components were found to interact with the traits. QTL for these traits were also found on different genomic regions, for example, grain density QTLs were found on chromosomes 2H and 6H, whereas endosperm hardness QTLs were found on 1H, 5H, and 7H. In this study, the majority of the genomic regions associated with grain texture were also coincident with QTLs for grain size, yield, flowering date and/or plant development genes. This study highlights the complexity of genomic regions associated with the variation of endosperm hardness and grain density, and their relationships with grain size traits, agronomic-related traits, and plant development loci.