Mapping QTL for flowering time-related traits under three plant densities in maize
文献类型: 外文期刊
第一作者: Wang, Liwei
作者: Wang, Liwei;Li, Ronggai;Zhang, Quanguo;Li, Xinghua;Wang, Baoqiang;Zhang, Wenying;Song, Wei;Wang, Liwei;Zhou, Zhiqiang;Weng, Jianfeng;Li, Xinhai
作者机构:
关键词: Maize; Flowering time; Plant density; Recombinant inbred lines (RIL); Genetic basis
期刊名称:CROP JOURNAL ( 影响因子:3.395; )
ISSN: 2095-5421
年卷期: 2021 年 9 卷 2 期
页码:
收录情况: SCI
摘要: Flowering time is an indicator of adaptation in maize and a key trait for selection in breeding. The genetic basis of flowering time in maize, especially in response to plant density, remains unclear. The objective of this study was to identify maize quantitative trait loci (QTL) associated with flowering time-related traits that are stably expressed under several plant densities and show additive effects that vary with plant density. Three hundred recombinant inbred lines (RIL) derived from a cross between Ye 478 and Qi 319, together with their parents, were planted at three plant densities (90,000, 120,000, and 150,000 plants ha(-1)) in four environments. The five traits investigated were days to tasseling (DTT), days to silking (DTS), days to pollen shed (DTP), interval between anthesis and silking (ASI), and interval between tasseling and anthesis (TAI). A high-resolution bin map was used for QTL mapping. In the RIL population, the DTT, DTS, and DTP values increased with plant density, whereas the ASI and TAI values showed negligible response to plant density. A total of 72 QTL were identified for flowering time-related traits, including 15 stably expressed across environments. Maize flowering time under different densities seems to be regulated by complex pathways rather than by several major genes or an independent pathway. The effects of some stable QTL, especially qDTT8-1 and qDTT10-4, varied with plant density. Fine mapping and cloning of these QTL will shed light on the mechanism of flowering time and assist in breeding early-maturing maize inbred lines and hybrids. (C) 2020 Crop Science Society of China and Institute of Crop Science, CAAS. Production and hosting by Elsevier B.V. on behalf of KeAi Communications Co., Ltd.
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