摘要
倒伏性状是影响大豆品种产量、品质及能否大面积推广的一个重要数量性状。为促进大豆抗倒伏基因的精细定位和分子标记辅助选择育种,本研究共搜集整理30年来SoyBase网站上已经报道的大豆倒伏性状QTL,以2010年发布的大豆基因组物理图谱为参考图谱,通过BioMercator2.1软件将大豆倒伏性QTL映射到物理图谱上,并进行元分析得到有效的QTL位点,共得到17个通用QTL分布于8个连锁群上,通用QTL的最小图距为0.08 Mb,最大图距为13.47 Mb。
Lodging is an important quantitative trait that affects the yield,quality,and generalization of soybean varieties.In order to promote gene isolation and marker-assisted breeding oflodging resistant varieties in soybean,in this research,79 QTLs reported in recent 30 years were collected from SoyBase,taking the physical map of soybean genome released in 2010 as a reference map,QTLs for soybean lodging were mapped to physical maps with BioMercator 2.1 software,and meta-analysis was performed to obtain effective QTL loci.A total of 17 common QTLs were distributed on 8 linkage groups.The minimum map distance was 0.08 Mb and the maximum map distance was 13.47 Mb.
作者
尹振功
王强
孟宪欣
郭怡璠
魏淑红
YIN Zhen-gong;WANG Qiang;MENG Xian-xin;GUO Yi-fan;WEI Shu-hong(Crop Breeding Institute,Heilongjiang Academy of Agricultural Sciences,Harbin 150086,China)
出处
《黑龙江农业科学》
2018年第9期1-5,共5页
Heilongjiang Agricultural Sciences
基金
七大农作物育种资助项目(2016YFD0100201-15)
农业部农作物种质资源保护与利用专项资助项目(2017NWB036-23)
科技部
财政部国家科技基础条件平台子平台资助项目(NICGR2017-024)
关键词
大豆
倒伏
物理图谱
元分析
soybean
lodging
physical map
meta-analysis
