摘要
以来自泸恢99×日本晴F8代重组自交系的188个家系及双亲为研究材料,用在亲本间有多态性的207个DNA标记对群体进行基因型分析,构建了全长为2397cM,标记间平均距离为12.29cM,覆盖水稻基因组12条染色体的连锁图。于2011年正季分别在德阳和泸州两地种植于四川农业科学院水稻高粱研究所实验农场,考查了单株有效穗数、每穗颖花数、每穗实粒数、结实率、千粒重、单株产量、穗长和株高7个性状。用基于混合线性模型的QTL Network 2.0软件进行QTL定位、上位性分析及其与环境的互作分析。7个性状共检测到22个加性主效应QTL,位于除第6、11、12染色体外的9条染色体上,除每穗颖花数、每穗实粒数、结实率未检测到上位性效应外,其他5个性状共检测到7对上位性互作;另外只发现两个QTL与环境发生明显互作。所有加性×加性上位性互作的效应及贡献率均较小,未发现上位性互作效应与环境的显著互作。
A genetic linkage map consisting 207 DNA markers,was constructed based on a recombinant inbred line（RIL） population derived from a cross between indica Luhui 99 and japonica Nipponbare.The markers in the linkage map distributed on all the 12 rice chromosomes and covered 2397 cM of the genome with the average distance between the markers being 12.29 cM.In 2011,the parents and 188 RILs were grown in the experimental field at Luzhou and Deyang experimental farm of the Institute of Rice and Sorghum,Sichuan Academy of Agricultural Sciences.The statistic software of QTL Network 2.0 was applied to detect QTL,QTL×QTL epstatic effects and QTL×environment（QE）interaction for seven traits,including number of panicles per plant,number of spikelet per panicle,number of filled grains per panicle,seed setting rate,1000-grain weight,grain yield per plant,plant height.A total of 22 QTLs with significant additive effects covering all chromosomes except chromosomes 6,11 and 12 and two QTL with significant QE interactions were detected.Seven pairs of QTLs showing significant additive ×additive epistatic effects were detected except three traits including number of spikelet per panicle,number of filled grains per panicle,and seed setting rate.Genetic contributions were generally low for QTL showing epistatic effects.No significant interaction between epistatic QTL and environment was detected.
出处
《中国水稻科学》
CAS
CSCD
北大核心
2013年第4期344-352,共9页
Chinese Journal of Rice Science
基金
国家863计划资助项目(2011AAl0A101)
农业部超级稻专项
四川省财政基因工程项目(JYGC2011-1)
四川十二五水稻育种攻关计划资助项目(YZGG2011-1)
关键词
遗传图谱
水稻产量因子
上位性效应
QTL与环境互作
genetic linkage map
rice yield components
epistatic effect
QTL×environment interaction
