63 K and 50 K SNP array based high-density genetic mapping and QTL analysis for productivity and fiber quality traits in cotton

The recombinant inbred lines of inter-specific cross, Gossypium hirsutum cv. DS-28 × G. barbadense cv. SBYF-425 was evaluated in three consecutive rainy seasons of 2017–18 (F13), 2018–19 (F14) and 2019–20 (F15) in an augmented design. The preponderance of huge continuous variability for both productivity and fiber quality traits was recorded. The principal component analysis revealed that the mapping population was well suited for mapping of productivity and fiber quality traits. On the basis the Z-scores for skewness and kurtosis, 178 RILs with normal distribution were selected for genetic linkage mapping. A high-density saturated linkage map was constructed using SNP arrays of CottonSNP63K, an Illumina’s infinium array and CottonSNP50K, CSIR-National Botanical Research Institute’s Axiom array with a total spanned length of 2402.65 cM, an average marker density of 1.54 and with map coverage of 96.99% of the reference genome. The developed genetic map of inter specific cross of Indian cotton varieties is a highly saturated in terms of coverage and highly comparable to the published maps. In QTL analysis, altogether 99 QTLs were identified for productivity and fiber quality traits. Among those, eight were stable and 38 were major QTLs. Cluster 1, 4 and 6 respectively on chromosome AD_chr.03, AD_chr.14 and AD_chr.18 were the biggest QTL clusters each with four QTLs and cluster 4 and 6 were QTL hotspots for fiber quality traits.