Shahid Bahonar University of Kerman and Iranian Biotechnology Society Agricultural Biotechnology Journal 2228-6705 9 3 2017 10 23 Identification of QTLs for rice yield and yield-related traits using high density SNPs linkage map Identification of QTLs for rice yield and yield-related traits using high density SNPs linkage map 1 24 1876 10.22103/jab.2018.1876 FA M Ahmadzadeh 1 Ph.D. Student of Plant Breeding, Sari Agricultural Sciences and Natural Resources University, Sari, Iran. N Babaian Professor of Plant Breeding, Plant Breeding and Biotechnology Department, Sari Agricultural Sciences and Natural Resources University, Sari, Iran. Qasem Mohammadi Nezhad Associate professor of Plant Breeding, Dep. of Agronomy and Plant Breeding and Research and Technology Institute of Plant Production (RTIPP) Shahid-Bahonar University, Kerman, Iran. N Bagheri Assistance professor of Plant Breeding, Plant Breeding and Biotechnology Department, Sari Agricultural Sciences and Natural Resources University, Sari, Iran. Rakesh Kumar Singh Plant Breeding, Genetics and Biotechnology Division – International Rice Research Institute, (IRRI), LosBanos-Laguna, Philippines Journal Article 2017 01 01 Rice is one of the most important cereal with great variation, which is a major food for more than half of the world’s population. Mapping quantitative traits loci is one of the applied and momentous approaches to study yield-related traits. In present study 188 F4 rice lines derived from CSR28 and Sadri cross along with the parents were used for genotyping and phenotyping. The objective of this study was to construct high saturation linkage map using SNPs markers (Infinium Illumina 6K SNP chip) and QTL identification of yield-related traits in 188 F4 population. Mapping of quantitative traits loci led to identify 21QTLs for studied traits on chromosomes 1, 2, 3, 5, 7, 8 and 10. One QTL (qFG_N-3-1) was identified for filled grain number per plant on chromosome 3. For spikelet fertility, three QTLs (qSpkF_N-2-1, qSpkF_N-3-1andqSpkF_N-5-1) were mapped on chromosomes 2, 3 and 5, which explained 29.28 percentage of phenotypic variation. One QTL (qGY_N-8-1) was detected for grain yield on chromosome 8, which was flanked by 9037125 and 9049928 markers. In conclusion, besides the QTLs which is reported for first time, the QTLs were consistent as reported previously, could be introduced as reliable QTLs that is suitable for marker assisted breeding programs. Rice is one of the most important cereal with great variation, which is a major food for more than half of the world’s population. Mapping quantitative traits loci is one of the applied and momentous approaches to study yield-related traits. In present study 188 F4 rice lines derived from CSR28 and Sadri cross along with the parents were used for genotyping and phenotyping. The objective of this study was to construct high saturation linkage map using SNPs markers (Infinium Illumina 6K SNP chip) and QTL identification of yield-related traits in 188 F4 population. Mapping of quantitative traits loci led to identify 21QTLs for studied traits on chromosomes 1, 2, 3, 5, 7, 8 and 10. One QTL (qFG_N-3-1) was identified for filled grain number per plant on chromosome 3. For spikelet fertility, three QTLs (qSpkF_N-2-1, qSpkF_N-3-1andqSpkF_N-5-1) were mapped on chromosomes 2, 3 and 5, which explained 29.28 percentage of phenotypic variation. One QTL (qGY_N-8-1) was detected for grain yield on chromosome 8, which was flanked by 9037125 and 9049928 markers. In conclusion, besides the QTLs which is reported for first time, the QTLs were consistent as reported previously, could be introduced as reliable QTLs that is suitable for marker assisted breeding programs.

https://jab.uk.ac.ir/article_1876_0e4f307a62210260afbc6da378c79683.pdf