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Genetic Dissection of Grain Yield and Agronomic Traits in Maize under Optimum and Low-Nitrogen Stressed Environments

机译:最佳低氮胁迫条件下玉米籽粒产量和农艺性状的遗传解剖

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摘要

Understanding the genetic basis of maize grain yield and other traits under low-nitrogen (N) stressed environments could improve selection efficiency. In this study, five doubled haploid (DH) populations were evaluated under optimum and N-stressed conditions, during the main rainy season and off-season in Kenya and Rwanda, from 2014 to 2015. Identifying the genomic regions associated with grain yield (GY), anthesis date (AD), anthesis-silking interval (ASI), plant height (PH), ear height (EH), ear position (EPO), and leaf senescence (SEN) under optimum and N-stressed environments could facilitate the use of marker-assisted selection to develop N-use-efficient maize varieties. DH lines were genotyped with genotyping by sequencing. A total of 13, 43, 13, 25, 30, 21, and 10 QTL were identified for GY, AD ASI, PH, EH, EPO, and SEN, respectively. For GY, PH, EH, and SEN, the highest number of QTL was found under low-N environments. No common QTL between optimum and low-N stressed conditions were identified for GY and ASI. For secondary traits, there were some common QTL for optimum and low-N conditions. Most QTL conferring tolerance to N stress was on a different chromosome position under optimum conditions.
机译:了解低氮胁迫环境下玉米籽粒产量和其他性状的遗传基础可以提高选择效率。在这项研究中,从2014年至2015年,在肯尼亚和卢旺达的主要雨季和淡季期间,在最佳和N胁迫条件下,对五个双倍单倍体(DH)种群进行了评估。确定与谷物产量相关的基因组区域(GY ),花期(AD),花期间隔(ASI),株高(PH),穗高(EH),穗位置(EPO)和叶片衰老(SEN)在最佳和N胁迫环境下均可促进利用标记辅助选择来开发氮利用效率高的玉米品种。通过测序对DH系进行基因分型。分别针对GY,ADASI,PH,EH,EPO和SEN确定了总共13、43、13、25、30、21和10个QTL。对于GY,PH,EH和SEN,在低氮环境下发现的QTL数量最多。对于GY和ASI,没有发现最佳和低氮胁迫条件之间的通用QTL。对于次生性状,有一些常见的最佳和低氮条件下的QTL。在最佳条件下,大多数赋予N耐性的QTL位于不同的染色体位置。

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