Genome wide selection for rapid introgression of productivity traits from Oryza rufipogon into O. sativa
Loading...
Date
2019
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Punjab Agricultural University, Ludhiana
Abstract
The genome wide selection for rapid introgression of productivity traits was carried out on a diverse set of 346 accessions of Oryza rufipogon. Population structure investigated using 2271 SNPs in O. rufipogon, indicated a weakly differentiated population which further classified into six sub-populations. Linkage disequilibrium decayed to its half-maximum at 10 kb for Oryza rufipogon and 60 kb for Oryza sativa. Genome wide association analysis was carried out using a set of 44,109 SNPs for seven traits, i.e, plant height, culm thickness, panicle length, number of primary branches, grain length, grain width, hundred grain weight. The study revealed 37 strong SNP associations, out of which 13 SNPs were associated with multiple traits. A total of 14 SNPs localized in 12 previously reported QTL regions of the concerned traits. Genomic selection was carried out on 1751 backcross lines derived from 11 different backcross families. Bayes B and Bayes C were used to build models in training population, comprised of 1223 and 1215 lines for panicle length and plant height, respectively. GS accuracy for above mentioned traits came out to be 0.51 and 0.72, respectively. In conclusion, the study revealed very subtle population structure with low levels of differentiation in Oryza rufipogon population. The analysis yielded 23 novel SNPs, which might serve as putative candidates for further investigation of agronomically important traits. The backcross progenies with good genomic estimated breeding values can be further utilized in breeding programs for improving yield related traits.
Description
Keywords
null