| 不同环境条件下玉米叶夹角的QTL定位 |
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| 引用本文： | 常立国,何坤辉,刘建超,薛吉全.不同环境条件下玉米叶夹角的QTL定位[J].玉米科学,2016,24(4):49-55. |
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| 作者姓名： | 常立国 何坤辉 刘建超 薛吉全 |
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| 作者单位： | 西北农林科技大学农学院/农业部西北旱区玉米生物学与遗传育种重点实验室, 陕西 杨凌 712100,西北农林科技大学农学院/农业部西北旱区玉米生物学与遗传育种重点实验室, 陕西 杨凌 712100,西北农林科技大学农学院/农业部西北旱区玉米生物学与遗传育种重点实验室, 陕西 杨凌 712100,西北农林科技大学农学院/农业部西北旱区玉米生物学与遗传育种重点实验室, 陕西 杨凌 712100 |
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| 基金项目： | 国家自然科学基金（31301830）、西北农林科技大学基本科研业务费专项资金（QN2012001）、陕西省自然科学基金（2014JQ3108） |
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| 摘 要： | 以150个重组自交系群体为供试材料,利用完备区间作图法,对两年三点试验的穗三叶叶夹角表型数据进行QTL定位分析。结果表明,6个环境下共定位到34个QTL,各个染色体上均有分布,单个QTL可解释4.98%~22.78%的表型变异。控制叶夹角的QTL受环境的影响较大,大部分QTL只能在一种环境下被检测到,其中,有3个QTL(qSecLA1-1、qThiLA1-1和qThiLA5-1)分别在3种及以上环境中同时被检测到,是控制玉米叶夹角的主效QTL。
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| 关 键 词： | 玉米 多环境 叶夹角 QTL定位 |
| 收稿时间： | 2015/12/4 0:00:00 |
Mapping of QTLs for Leaf Angle in Maize under Different Environments |
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| CHANG Li-guo,HE Kun-hui,LIU Jian-chao and XUE Ji-quan.Mapping of QTLs for Leaf Angle in Maize under Different Environments[J].Journal of Maize Sciences,2016,24(4):49-55. |
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| Authors: | CHANG Li-guo HE Kun-hui LIU Jian-chao and XUE Ji-quan |
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| Institution: | College of Agronomy, Northwest A & F University/Key Laboratory of Biology and Genetic Improvement of Maize in Arid Area of Northwest Region Ministry of Agriculture, Yangling 712100, China,College of Agronomy, Northwest A & F University/Key Laboratory of Biology and Genetic Improvement of Maize in Arid Area of Northwest Region Ministry of Agriculture, Yangling 712100, China,College of Agronomy, Northwest A & F University/Key Laboratory of Biology and Genetic Improvement of Maize in Arid Area of Northwest Region Ministry of Agriculture, Yangling 712100, China and College of Agronomy, Northwest A & F University/Key Laboratory of Biology and Genetic Improvement of Maize in Arid Area of Northwest Region Ministry of Agriculture, Yangling 712100, China |
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| Abstract: | One hundred and fifty recombinant inbred lines were used, and phenotypes data of three leaves angle near the ear for two years at three locations(Yangling, Yulin and Huludao, 2014-2015) were analyzed by using Inclusive Composite Interval Mapping(ICIM) method of QTL IciMapping V4.0 software. The results showed that 34 QTLs were detected on all chromosomes under six environments, the range of single QTL explaining phenotypic variation was from 4.98% to 22.78%, QTLs for leaf angle were greatly influenced by environments, most of the QTLs could only be detected under one environment. Three QTLs(qSecLA1-1, qThiLA1-1 and qThiLA5-1) were detected under more than three environments, which were major QTLs for maize leaf angle. |
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| Keywords: | Maize Multiple environments Leaf angle QTL mapping |
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