水旱两种条件下向日葵产量相关QTL定位  

QTL mapping for yield-related traits in sunflower under irragation and drought stress

作　　者：马宇 吕品[1] 侯建华[1] 

机构地区：[1]内蒙古农业大学,内蒙古呼和浩特010018

出　　处：《中国油料作物学报》2017年第5期606-614,共9页Chinese Journal of Oil Crop Sciences

基　　金：国家自然科学基金(31160288)

摘　　要：为获得向日葵抗旱基因位点,培育向日葵抗旱新品种,在已有的高密度连锁图谱基础上,利用Map QTL4.0软件,在水、旱两种条件下对187个RIL群体的产量相关性状进行QTL定位分析。结果表明,两种水分条件下共检测到40个产量相关性状QTL位点,干旱条件下检测到6个性状22个QTL,可解释6%~21.6%的表型变异;浇水条件下检测到4个性状18个QTL,可解释6.1%~18.2%的表型变异;其中10个QTL在两种水分条件下被重复检测到,这些QTL作用方向一致,在不同环境中稳定表达;此外,还检测到16个可能对耐旱性有直接贡献的差值QTL。56个QTL中遗传贡献率超过10%的主效位点11个。对这些QTL位点进一步验证,可为今后向日葵抗旱性分子辅助选择育种奠定基础。To develop drought resistance gene locus of sunflower, Map QTL4. 0 was used to analyse QTL ma p-ping of 187 inbred lines based on previous linkage m a p of sunflower. A total of 40 QTLs were detected under QTLS two conditions （normal irrigation and drought） . 22 QTLs of 6 traits explained 6 % to 21.6 % of the phenotypic vari-ance under drought stress. A total of 18 QTLs explained 6.1% to 18.2% of the phenotypic variance under irriga-tion conditions. At the same time, a total of 10 QTLs were detected under both drought stress and irrigation condi-tion and these QTLs had the same effects and ability of stable expression in different environments. 16 QTLs were detected between drought and irrigation conditions, and these QTLs could have made direct contribution to drought tolerance. Among the 56 QTLs, 11 major QTLs had more than 10% contribution to phenotypic variance explained.

关 键 词：向日葵 抗旱性 灌溉 产量 QTL定位 

分 类 号：S565.5[农业科学—作物学]