2013•Zhongguo shuidao kexueOpen access

QTL Mapping for Yield Related Components in A RIL Population of Rice

Jiakui Zheng

Open full text 2 citations

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.

About this research paper

What this paper is about

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.

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available 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.

Key concepts: Quantitative trait locus, Panicle, Epistasis, Biology, Japonica, Japonica rice, Population, Sorghum

Related papers

Back to paper searchBrowse research topicsOriginal source
QTL Mapping for Yield Related Components in A RIL Population of Rice — Research Paper | ScholarLens