Wheat kernel dimensions: How do they contribute to kernel weight at an individual QTL level?

被引：43

作者：

Cui F. ^{[1
,2
]}

Ding A. ^{[1
]}

Li J. ^{[1
,3
]}

Zhao C. ^{[1
]}

Li X. ^{[1
]}

Feng D. ^{[1
]}

Wang X. ^{[4
]}

Wang L. ^{[1
,5
]}

Gao J. ^{[1
]}

Wang H. ^{[1
]}

机构：

[1] State Key Laboratory of Crop Biology, Shandong Key Laboratory of Crop Biology, Taian Subcenter of National Wheat Improvement Center, College of Agronomy, Shandong Agricultural University

[2] Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences

[3] Tianxing Biotechnology, 256200 Zouping Shandong, Handian Industrial Zone

[4] Municipal Academy of Agricultural Sciences

[5] Municipal Academy of Agricultural Sciences

来源：

Journal of Genetics | 2011年 / 90卷 / 3期

关键词：

conditional QTL mapping; genetic relationship; kernel dimensions; thousand-kernel weight; wheat;

D O I：

10.1007/s12041-011-0103-9

中图分类号：

学科分类号：

摘要：

Kernel dimensions (KD) contribute greatly to thousand-kernel weight (TKW) in wheat. In the present study, quantitative trait loci (QTL) for TKW, kernel length (KL), kernel width (KW) and kernel diameter ratio (KDR) were detected by both conditional and unconditional QTL mapping methods. Two related F8:9 recombinant inbred line (RIL) populations, comprising 485 and 229 lines, respectively, were used in this study, and the trait phenotypes were evaluated in four environments. Unconditional QTL mapping analysis detected 77 additive QTL for four traits in two populations. Of these, 24 QTL were verified in at least three trials, and five of them were major QTL, thus being of great value for marker assisted selection in breeding programmes. Conditional QTL mapping analysis, compared with unconditional QTL mapping analysis, resulted in reduction in the number of QTL for TKW due to the elimination of TKW variations caused by its conditional traits; based on which we first dissected genetic control system involved in the synthetic process between TKW and KD at an individual QTL level. Results indicated that, at the QTL level, KW had the strongest influence on TKW, followed by KL, and KDR had the lowest level contribution to TKW. In addition, the present study proved that it is not all-inclusive to determine genetic relationships of a pairwise QTL for two related/causal traits based on whether they were co-located. Thus, conditional QTL mapping method should be used to evaluate possible genetic relationships of two related/causal traits. © 2011 Indian Academy of Sciences.

引用

页码：409 / 425

页数：16

共 68 条

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