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多环境下大豆全生育期的QTL定位

Mapping QTL for Whole Growth Period in Soybean Under Multiple Environments

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【作者】 张佳南王艳殊许世超田雨李文霞宁海龙

【Author】 ZHANG Jia-nan;WANG Yan-shu;XU Shi-chao;TIAN Yu;LI Wen-xia;NING Hai-long;College of Agriculture, Northeast Agricultural University, Key Laboratory of Soybean Biology, Ministry of Education, Northeast Key Laboratory of Soybean Biology and Genetics and Breeding;

【通讯作者】 李文霞;

【机构】 东北农业大学农学院大豆生物学教育部重点实验室农业部东北大豆生物学与遗传育种重点实验室

【摘要】 【目的】大豆是典型光温反映敏感作物,受环境影响较大,需培育广适应大豆品种以适应不同生态环境。【方法】本研究以4个生育期性状差异较大的大豆亲本配制双交组合(垦丰14×垦丰15)×(黑农48×垦丰19)衍生的含160个株系的四向重组自交系群体(FW-RIL)为试验材料,进行3年6个播期环境的田间试验,获得15个大豆各阶段生育期性状表型数据,结合已经构建的包含275个SSR标记的大豆遗传图谱,采用完备区间作图法(CIM)对大豆生育期性状进行QTL定位分析,筛选在多环境下稳定表达的生育期QTL,旨在为培育广适应大豆优良品种提供理论基础及与材料。其次,本研究将营养生长和生殖生长两个大的生育期结构划分成小的生育期结构,更细致地定位研究特定生育期阶段表达的QTL位点。【结果】在多环境下重复检测生育期QTL有32个,C2、O、C1、K、L、J、B1、D2、D1b、N、A1、M、G、A2、I、F连锁群,单个QTL的表型贡献率为0.43%~11.33%,涉及始花期(ER1)、始荚期(ER3)、鼓粒期(ER6)、始荚-盛荚(R34)、始熟-完熟(R78)、始粒期(ER5)、始粒-鼓粒(R56)7个生育期性状。相同年份不同播期下重复检测位点有14个,不同年份重复检测位点有18个。对比国内外研究进展发现有26个生育期性状QTL与前人研究位点一致,说明在多环境下重复检测生育期QTL准确率极高。【结论】利用分子标记遗传图谱,在多环境下定位分析调控大豆生育期相关性状QTL,为培育广适应优良大豆品种提供有力手段。

【Abstract】 【Objective】Soybean is one of the crops sensitive to photoperiod and temperature. It is greatly affected by the environment. In order to adapt to different ecological environment, soybean varieties should be cultivated.【Method】Four way recombinant inbred lines(fw-ril) with 160 lines derived from a double cross combination(Kenfeng 14 × Kenfeng 15) ×(Heinong 48 × Kenfeng 19) prepared by four soybean parents with great difference in growth period were used as experimental materials. Field experiments were carried out under six sowing dates in three years. Based on the genetic map of 275 SSR markers, the QTL of soybean growth period was analyzed by using the complete interval mapping(CIM) method, and the stable expression QTL of growth period traits in soybean was screened. The purpose of this study was to provide the theoretical basis and materials for breeding soybean varieties with wide adaptability. Secondly, this study divided the vegetative growth and reproductive growth into small growth period structures, and studied the QTL loci expressed in specific growth stages. 【Result】The results showed that there were 32 QTLs in multiple environments, including C2, O, C1, K, l, J, B1, D2, D1 b, N, A1, M, G, A2, I and F. The PVE from 0.43 % to 11.33 % involved the initial flowering stage(ER1), the first pod filling stage(ER3), the first filling stage(ER6), the first pod filling stage(R34), the first ripening stage(R78), the first filling stage(ER5), and the first filling filling stage(R56) 7 growth period traits. In the same year, there were 14 repeated detection sites under different sowing dates, and 18 in different years. Compared with the research progress at home and abroad, 26 QTLs for growth period traits were found to be consistent with previous studies, indicating that the accuracy of repeated detection of QTLs for growth period in multiple environments was very high. 【Conclusion】Using molecular marker genetic map, the QTL of soybean growth period related traits was analyzed and regulated in multiple environments, which provided a powerful means for breeding soybean varieties with wide adaptability.

【基金】 黑龙江省“百千万”工程科技重大专项“大豆育种技术创新及新品种选育”(SC2019ZX16B0039-3)
  • 【文献出处】 西南农业学报 ,Southwest China Journal of Agricultural Sciences , 编辑部邮箱 ,2020年08期
  • 【分类号】S565.1
  • 【被引频次】1
  • 【下载频次】152
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