Статья

Dynamic QTL mapping for plant height in Upland cotton (<i>Gossypium hirsutum</i>)

Lianguang ShangDepartment of Plant Genetics and Breeding College of Agronomy/Key Laboratory of Crop Heterosis and Utilization of Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement China Agricultural University Beijing 100193 ChinaFang LiuState Key Laboratory of Cotton Biology/Institute of Cotton Research of Chinese Academy of Agricultural Science Anyang 455000 Henan ChinaYumei WangInstitute of Cash Crops, Hubei Academy of Agricultural Sciences Wuhan 430064 Hubei ChinaAbdugheni AbduweliDepartment of Plant Genetics and Breeding College of Agronomy/Key Laboratory of Crop Heterosis and Utilization of Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement China Agricultural University Beijing 100193 ChinaShihu CaiDepartment of Plant Genetics and Breeding College of Agronomy/Key Laboratory of Crop Heterosis and Utilization of Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement China Agricultural University Beijing 100193 ChinaKunbo WangState Key Laboratory of Cotton Biology/Institute of Cotton Research of Chinese Academy of Agricultural Science Anyang 455000 Henan ChinaJinping HuaDepartment of Plant Genetics and Breeding College of Agronomy/Key Laboratory of Crop Heterosis and Utilization of Ministry of Education/Beijing Key Laboratory of Crop Genetic Improvement China Agricultural University Beijing 100193 China

2015en

ABI

Аннотация

Abstract Plant height served as one of model traits to analyse dynamic development. The objective of this research was to investigate quantitative trait loci (QTL) and dynamic QTL for plant height trait using an intraspecific recombinant inbred line (RIL) population and a constructed genetic map in Upland cotton ( Gossypium hirsutum L.). Totally, 41 QTL and 23 conditional QTL controlling plant height were detected at two experimental environments, respectively. Four stable QTL were identified simultaneously in both environments. Some QTL identified at the early stage could not be detected at the final stage at plant maturity. Conditional QTL with different genetic effects were identified at certain stages, demonstrating that the expression of QTL had temporal characteristic during plant growth. Therefore, the study of dynamic QTL could unravel temporal genetic patterns controlling complex developmental quantitative traits.

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Идентификаторы

DOI: 10.1111/pbr.12316

Цитирования и источники

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