Qtls mapping for rice (oryza sativa spp.) grain yield and related traits under drought and irrigated conditions

Honore Kam., Mamadou Fofana., Adama Zongo and Sunday Taiwo

Drought stress is a major limitation to rainfed rice production. Identifying quantitative trait loci (QTLs) with consistent effects on grain yield under drought stress will assist to develop high-yielding rice varieties. Therefore 187 lines from the cross between NERICA3 and NERICA4 were used to identify QTLs for grain yield, flowering date and plant height under control irrigated and drought stress conditions. The F2 progenies were used for genotyping following Genotyping by Sequencing (GBS) method and F3 progenies were phenotyped in irrigated upland and repeated drought stress under a rainout shelter. The experiments were conducted in an Alpha lattice design in both environments. A total of three traits were recorded including grain yield, days to 50% flowering (DF) and plant height (PH). As a result 61 QTLs were identified under both conditions including 55 for PH, three (3) for DF and three (3) for grain yield. The three QTLs identified for grain yield were identified only under drought condition and no QTL found in control irrigated condition. The results provide a good foundation and will be useful for genomics-assisted breeding for selection of drought tolerant genotypes in rice breeding.

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DOI: http://dx.doi.org/10.24327/ijcar.2018.9066.1482
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