In salinity affected areas, variation in salinity level is the major cause of yield fluctuations in rice during the dry season (boro season). To sustain food security in Bangladesh, plant breeders need to develop new rice varieties which are higher yielding, salinity tolerant and stable across different environments. We evaluated the yield performance and stability of 51 rice elite genotypes including two salinity tolerant rice varieties (BRRI dhan67 and BINA dhan-10) and the dominant boro rice variety (BRRI dhan28) in three locations, including a salinity “hotspot”. Best linear unbiased predictions (BLUPs) were used to identify superior genotypes from multi-environment trials. Selection from a large set of candidates is required for evaluation and recommending a new variety for release. Estimated breeding values (EBVs) were used to select parents. Six parents with high EBVs (BR8982-5, IR 87870-6-1-1-1-1-B; BR8943-B-1-2-7, BR8940-B-17-4-7, A69-1 and BR8943-B-5-5-14) would be useful as parents to develop new breeding populations. To evaluate yield performance and stability across environments, we used additive main effects and multiplicative interaction (AMMI) model using a randomized complete block design with two replications. Genotype × environmental analysis was performed using GGE biplot analysis. Based on yield performance and stability, BR8982-5, IR 87870-6-1-1-1-1-B, BR8943-B-1-2-7, BR8940-B-17-4-7, A69-1 and BR8943-B-5-5-14 were promising across the tested environments, as they showed yield advantages over check varieties. The results in this study will be useful for selecting the elite lines suitable for salinity affected areas and parents for rapid breeding of salinity tolerance.

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Simple sequence repeats (SSRs) have been the marker of choice for rice molecular breeding due to the high level of polymorphism, technical simplicity and low cost. Recent advances in rice genomics have led to the discovery of abundant single nucleotide polymorphism (SNPs) which have enormous potential for rice molecular breeding. To assess both marker systems for molecular breeding in rice, SSR and SNP markers were evaluated on a set of 23 genotypes representing indica germplasm for their usefulness in molecular research and breeding program. Seven hundred SSR and sequence tagged sites (STS) markers and 384 SNPs were screened for polymorphism. Highly polymorphic markers based on polymorphic information content (PIC) values were identified, which will be useful for molecular breeding. Data was used to identify an “indica genotyping set” based on high level of polymorphism, chromosome position and marker quality which will provide kits of markers for marker assisted selection (MAS). Genetic diversity analysis using SSR data was more consistent with pedigrees compared to analysis with SNP data indicating that more than 384 SNPs are required when elite indica breeding material is used. The results also indicated that there were polymorphic “blind spots” for the fixed SNP set suggesting that SSRs could still be used to complement fixed-SNP genotyping platforms for some molecular breeding applications.

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