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作 者:徐文锋 赵雅琦 王慧婷 田振平 张霞 于肖夏[1] XU Wenfeng;ZHAO Yaqi;WANG Huiting;TIAN Zhenping;ZHANG Xia;YU Xiaoxia(College of Agriculture,Inner Mongolia Agricultural University,Hohhot 010019,China)
出 处:《种子》2025年第2期46-56,共11页Seed
基 金:国家自然科学基金项目(32060389、31772664)。
摘 要:为筛选与高丹草产量性状相关的优良基因,以亲本材料红壳苏丹草(父本)、散穗高粱(母本)及高丹草F 2代群体为研究材料,在前期已构建的超高密度遗传连锁图谱上,采用Map QTL 6.0软件对穗、茎叶、分蘖鲜重等产量性状进行QTL定位分析。结果表明,高丹草F 2代群体的3个产量性状测量值呈正态分布,可用于QTL定位分析。控制3个产量性状的QTL有9个,分布除在1号、3号染色体外的其余8条染色体上,其中控制穗鲜重的QTLs有2个,其遗传贡献率分别为8.1%和10.8%;控制茎叶鲜重的QTLs有4个,其遗传贡献率为7.6%~10.0%;分蘖鲜重的QTLs有3个,其遗传贡献率为8.5%~10.2%。In order to screen the excellent genes related to yield traits of Sorghum bicolor×sudanense,F 2 generation populations of red shell Sorghum sudanense(paternal),loose ear Sorghum bicolor(maternal)and Sorghum bicolor×sudanense were used as the research materials.On the ultra-high density genetic linkage map constructed by the previous research,QTL was used to locate the yield traits such as ear,stem,leaf and tillering fresh weight were analysed by QTL using Map QTL 6.0 software.The results showed that the measured values of 3 yield traits of F 2 generation population of Sorghum bicolor×sudanense were normally distributed,which could be used for QTL localization analysis.There were 9 QTLs controlling the three yield traits,which were distributed on the other 8 chromosomes except chromosomes 1 and 3.Among them,there were 2 QTLs controlling fresh panicle weight,and their genetic contribution rates were 8.1%and 10.8%,respectively.There were 4 QTLs controlling the fresh weight of stems and leaves,and their genetic contribution rates ranged from 7.6%to 10.0%.There were 3 QTLs of fresh tiller weight,and their genetic contribution rate was from 8.5%to 10.2%.
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