QTL Mapping for Yield Related Components in A RIL Population of Rice
Jiakui Zheng
Abstract
Jiakui Zheng
Abstract
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.
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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.
Key concepts: Quantitative trait locus, Panicle, Epistasis, Biology, Japonica, Japonica rice, Population, Sorghum