The Genetic Architecture of Milling Quality in Spring Oat Lines of the Collaborative Oat Research Enterprise.
The Genetic Architecture of Milling Quality in Spring Oat Lines of the Collaborative Oat Research Enterprise.
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DOI：
10.3390/foods10102479
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发表时间：
2021-10-16
期刊：
影响因子：
--
通讯作者：
Beattie AD
中科院分区：
文献类型：
--
作者：
Esvelt Klos K;Yimer BA;Howarth CJ;McMullen MS;Sorrells ME;Tinker NA;Yan W;Beattie AD
大多数用于人类消费的燕麦谷物必须具备通过工业脱壳过程的能力，最大限度地减少破坏和浪费。均匀的颗粒尺寸和较高的砾壳比是与碾磨性能相关的理想特征。本研究的目的是通过确定数量性状基因座(QTL)来表征与碾磨品质相关的性状的遗传结构，这些QTL是对北美燕麦育种计划至关重要的不同的春燕麦优良品系和基础品系的变异的贡献者。来自合作燕麦研究企业(CORE)小组的501个品系被评估了与6个关键碾磨性状的全基因组关联。在13个定位年中对性状进行了评价。对36,315个标记的关联进行了跨地点年份和地点年份内的性状平均值以及地点年份之间的性状差异的评估，这被用来评估性状的稳定性。确定了57个影响一个或多个碾磨品质相关性状的QTL，其中14个QTL定位了不同地点年份的影响均值和方差。最显著的QTL是位于4D染色体上的Qkernel.CORE.4D，其长度约212 cM，影响所有性状的平均水平。检测到影响性状变异但不影响均值的QTL，仅影响性状均值的QTL，以及两者都影响的QTL。
Most oat grains destined for human consumption must possess the ability to pass through an industrial de-hulling process with minimal breakage and waste. Uniform grain size and a high groat to hull ratio are desirable traits related to milling performance. The purpose of this study was to characterize the genetic architecture of traits related to milling quality by identifying quantitative trait loci (QTL) contributing to variation among a diverse collection of elite and foundational spring oat lines important to North American oat breeding programs. A total of 501 lines from the Collaborative Oat Research Enterprise (CORE) panel were evaluated for genome-wide association with 6 key milling traits. Traits were evaluated in 13 location years. Associations for 36,315 markers were evaluated for trait means across and within location years, as well as trait variance across location years, which was used to assess trait stability. Fifty-seven QTL influencing one or more of the milling quality related traits were identified, with fourteen QTL mapped influencing mean and variance across location years. The most prominent QTL was Qkernel.CORE.4D on chromosome 4D at approximately 212 cM, which influenced the mean levels of all traits. QTL were identified that influenced trait variance but not mean, trait mean only and both.
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影响因子：
13.8
作者：
Bekele WA;Wight CP;Chao S;Howarth CJ;Tinker NA
通讯作者：
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影响因子：
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作者：
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