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2019年98卷
《Journal of Genetics》

Detection of QTL for panicle architecture in F2 population of rice

Rohini Bhat,Anil Kumar Singh,Romesh Kumar Salgotra,Manmohan Sharma,Muntazir Mushtaq,Sreshti Bagati,Sharmishta Hangloo,Amrinder Singh

School of Biotechnology, Sher-e-Kashmir University of Agricultural Science and Technology of Jammu,Chatha 180 009, India

Abstract: Panicle traits are the most important agronomic characters which directly relate to yield in rice. Panicle length (PL) being one of the major components of rice panicle structure is controlled by quantitative trait loci (QTLs). In our research, conducted at Research Farm of SKUAST-J, crosses of parental lines K 343 and DHMAS were made for generating $$\text {F}_{2}$$ mapping population, which were then transplanted into the field using augmented design-I. The $$\text {F}_{2}$$ population was used for phenotypic evaluation, development of linkage map and identification of QTLs on the chromosomes by using SSR markers. A total of 450 SSR markers were used for screening both the parents of which 53 highly polymorphic markers were selected and used for genotyping of 233 genotypes of $$\text {F}_{2}$$ population. Linkage map was generated using MAPMAKER/EXP3.0 software, seven linkage groups were found distributed on 11 chromosomes of rice. QTLs were detected using QTL Cartographer (v2.5) software. Based on 1000 permutation tests, a logarithm of odds (LOD) threshold value 2.0 and 3.0 was set. Composite interval mapping was used to map QTLs in populations derived from bi-parental crosses. The phenotypic data, genotypic data and the genetic linkage map generated identified total three QTLs of which one was identified for PL qPL2, located at 85.01 cM position with 2.1 LOD value and in between the marker intervals RM324-RM208, this QTL explained the phenotype variation by 4.36%. The other two QTLs were identified for spikelet density (SD) qSD3.1 and qSD3.2, located at 28.91 and 39.51 cM, respectively, both with a flanking marker RM6832 on chromosome 3. The LOD value and phenotypic variation explained for qSD3.1 and qSD3.2 was 3.00 and 3.25; 9.70 and 12.34% respectively. The reported QTLs identified in the study suggested a less diversity in the parents used and also the rejection of not so useful markers from the used set of markers for PL and SD.

Keywords: quantitativetrait loci;logarithm of odds;simple sequence repeats;composite interval mapping

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