Mapping QTLs for seed yield and drought susceptibility index in soybean (Glycine max L.) across different environments
Mapping QTLs for seed yield and drought susceptibility index in soybean (Glycine max L.) across different environments
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不同环境下大豆 (Glycine max L.) 种子产量和干旱敏感性指数的 QTL 定位
DOI：
10.1016/s1673-8527(08)60165-4
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发表时间：
2009-12-01
影响因子：
5.9
通讯作者：
Yu, Deyue
中科院分区：
文献类型：
--
作者：
Du, Weijun;Wang, Min;Yu, Deyue
干旱胁迫一直是大豆（Glycine max（L.）梅尔）在封闭的生态系统中。因此，在不同环境下鉴定群体中与单株种子产量（YP）和干旱敏感性指数（DSI）相关的数量性状基因座（QTL），对于分子标记辅助育种具有重要意义。以科丰1号和南农1138 -2杂交组合的184个F-2：7：11重组系为材料，在田间（F）和温室（G）试验中研究了水分胁迫（WS）和充分供水（WW）条件下的YP，并计算了两次试验的DSI。共检测到19个与YP-WS和YP-WW相关的QTL和10个与DSI相关的QTL。这些QTL位置与以前的研究结果的比较表明，这些区域中的大多数控制一个或多个性状相关的产量和其他农艺性状。YP-F的一个QTL位于MLG K上，YP-G的两个QTL位于MLG C2上，在不同水分条件下保持不变。YP-WW-F的MLG C2和YP-WS-F的MLG H上的区域对DSI-F具有多效性效应，YP-WS-G的MLG A1对DSI-G具有多效性效应。鉴定不同环境下YP和DSI的一致性QTL将显著提高大豆耐旱性选择的效率。
Drought stress has long been a major constraint in maintaining yield stability of soybean (Glycine max (L.) Merr.) in rainfed ecosystems. The identification of consistent quantitative trait loci (QTL) involving seed yield per plant (YP) and drought susceptibility index (DSI) in a population across different environments would therefore be important in molecular marker-assisted breeding of soybean cultivars suitable for rainfed regions. The YP of a recombinant line population of 184 F-2:7:11 lines from a cross of Kefeng1 and Nannong1138-2 was studied under water-stressed (WS) and well-watered (WW) conditions in field ( F) and greenhouse ( G) trials, and DSI for yield was calculated in two trials. Nineteen QTLs associated with YP-WS and YP-WW, and 10 QTLs associated with DSI, were identified. Comparison of these QTL locations with previous findings showed that the majority of these regions control one or more traits related to yield and other agronomic traits. One QTL on molecular linkage group (MLG) K for YP-F, and two QTLs on MLG C2 for YP-G, remained constant across different water regimes. The regions on MLG C2 for YP-WW-F and MLG H for YP-WS-F had a pleiotropic effect on DSI-F, and MLG A1 for YP-WS-G had a pleiotropic effect on DSI-G. The identification of consistent QTLs for YP and DSI across different environments will significantly improve the efficiency of selecting for drought tolerance in soybean.