Dissecting combining ability effect in a rice NCII-III population provides insights into heterosis in indica-japonica cross.
Dissecting combining ability effect in a rice NCII-III population provides insights into heterosis in indica-japonica cross.
复制标题
剖析水稻 NCII-III 群体的配合力效应，为了解籼粳杂交中的杂种优势提供见解
DOI：
10.1186/s12284-017-0179-9
复制
发表时间：
2017-08-29
期刊：
影响因子：
--
通讯作者：
He Y
中科院分区：
文献类型：
--
作者：
Zhou H;Xia D;Zeng J;Jiang G;He Y
背景：配合能力是选择对混种性能做出最大贡献的精英父母的衡量标准。然而，配合力的遗传基础及其如何促进杂种优势却鲜为人知。结果：我们构建了籼粳杂交的NCII和NCIII群体，研究亲本性能、配合力和11个农艺性状的杂种性能之间的关系。其中，特定配合力对产量的影响比亲本性能和一般配合力更为重要。我们对双单倍体系及其两个回交群体的所有 11 个性状的表型值和配合能力进行了连锁分析，总共鉴定了 108 个 QTL。其中，4个已知位点Sd1、Ghd7、Ghd8和DEP1对除产量和结实率之外的农艺性状的GCA效应贡献较大。 Ghd8、S5和qS12这3个QTL对粮食产量的SCA效应贡献较大，并呈现超优势。结论：本研究为深入了解配合力和杂种优势的遗传基础提供了新的见解，将促进籼粳杂交育种的改进。
Background:Combining ability is a measure for selecting elite parents that make the highest contributions to hybrid performance. However, the genetic bases of combining ability and how they contributed to heterosis is seldomly known.Results:We constructed a both NCII and NCIII population derived from an indica-japonica cross to study the relationship among parental performance, combining ability and hybrid performance of 11 agronomic traits. Among them, specific combining ability is more important to grain yield than parental performance and general combining ability. We performed linkage analyses to phenotypic values and combining ability of all 11 traits in Doubled haploid lines and its two backcross populations and identified 108 QTLs in total. Among these QTLs, four known loci, Sd1, Ghd7, Ghd8 and DEP1 contribute a lot to GCA effects of agronomic traits except grain yield and seed setting rate. Three QTLs, Ghd8, S5 and qS12, contribute a lot to SCA effects of grain yield and present overdominace.Conclusions:Our study provides insights into the genetic bases of combining ability and heterosis and will promote the improvements of indica-japonica hybrid breeding.
登录
查看更多内容
影响因子：
64.8
作者：
Huang, Xuehui;Yang, Shihua;Han, Bin
通讯作者：
Han, Bin
影响因子：
1.9
作者：
COMSTOCK, RE;ROBINSON, HF
通讯作者：
ROBINSON, HF
影响因子：
30.8
作者：
Xue, Weiya;Xing, Yongzhong;Zhang, Qifa
通讯作者：
Zhang, Qifa
影响因子：
4.9
作者：
Kojima, S;Takahashi, Y;Yano, M
通讯作者：
Yano, M
影响因子：
4.2
作者：
Cheng SH;Zhuang JY;Fan YY;Du JH;Cao LY
通讯作者：
Cao LY