Identification of quantitative trait loci underlying soybean (Glycine max [L.] Merr.) seed weight including main, epistatic and QTL × environment effects in different regions of Northeast China
Identification of quantitative trait loci underlying soybean (Glycine max [L.] Merr.) seed weight including main, epistatic and QTL × environment effects in different regions of Northeast China
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大豆 (Glycine max [L.] Merr.) 种子重量数量性状基因座的鉴定,包括中国东北不同地区的主要、上位和 QTL — 环境影响
DOI:
10.1111/pbr.12574
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发表时间:
2018-04
期刊:
影响因子:
2
通讯作者:
Wenbin Li
中科院分区:
文献类型:
--
作者:
Depeng Wu;Yuhang Zhan;Qiuxia Sun;Lingxiu Xu;Ming Lian;Xue Zhao;Yingpeng Han;Wenbin Li
Seed weight (SW) is the important soybean (Glycine max [L.] Merr.), yield component and also affected the quality of soybean‐derived foods. The aim of this study was to identify the quantitative trait loci (QTL) underlying SW through 112 recombinant inbred lines (RILs) derived from the cross between “Zhongdou27” (G. max, designated by its bigger seed size, 21.9 g/100 seeds) and “Jiunong 20” (G. max, smaller seed size, 17.5 g/100 seeds). Phenotypic data were collected from this RIL population after it was grown in the sixteen tested environments. A total of eight QTL (QSW1‐1, QSW2‐1, QSW2‐2, QSW5‐1, QSW15‐1, QSW17‐1, QSW19‐1 and QSW20‐1) were identified, and they could explain 4.23%–14.65% of the phenotypic variation. Among these eight QTL, three QTL (QSW1‐1 located on the interval of Sat_159‐Satt603 of chromosome (Chr) 1 (LGD1a), QSW19‐1 located on the interval of Sat_340‐Satt523 of Chr 19 (LGL) and QSW20‐1 located on Sat_418‐Sat_105 of Chr 20 (LGI)) were newly identified and could explain 4.235%–10.08%, 8.45%–13.49% and 8.08%–10.18% of the phenotypic variation, respectively. Six of the eight identified QTL including QSW2‐2, QSW5‐1, QSW15‐1, QSW17‐1, QSW19‐1 and QSW20‐1 exhibited a significant additive (a) effect, while two QTL (QSW2‐1 and QSW19‐1) only displayed significant additive‐by‐environment (ae) effects. A total of four epistatic pairwise QTL for SW were identified in the different environments. These eight QTL and their genetic information obtained here were valuable for molecular marker‐assisted selection and the realization of a reasonable SW breeding programme in soybean.
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影响因子:
6.9
作者:
Yinghu Zhang;Jianbo He;Yufeng Wang;G. Xing;Jinming Zhao;Yan Li;Shouping Yang;Reid G. Palmer
通讯作者:
Yinghu Zhang;Jianbo He;Yufeng Wang;G. Xing;Jinming Zhao;Yan Li;Shouping Yang;Reid G. Palmer
影响因子:
1.5
作者:
Liang, Huizhen;Xu, Lanjie;Zhang, Haiyang
通讯作者:
Zhang, Haiyang
影响因子:
3.7
作者:
Xin D;Qi Z;Jiang H;Hu Z;Zhu R;Hu J;Han H;Hu G;Liu C;Chen Q
通讯作者:
Chen Q
影响因子:
27.5
作者:
Lu, Xiang;Xiong, Qing;Zhang, Jin-Song
通讯作者:
Zhang, Jin-Song
影响因子:
2
作者:
Long Yan;Ying-hui Li;Chunyan Yang;S. Ren;R. Chang;Meng-chen Zhang;L. Qiu
通讯作者:
Long Yan;Ying-hui Li;Chunyan Yang;S. Ren;R. Chang;Meng-chen Zhang;L. Qiu