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Analysis Study Research Paper | Agriculture | Bangladesh | Volume 12 Issue 12, December 2023 | Rating: 4.7 / 10
Association Mapping of Agronomic, Grain Characteristics, Yield Components and Yield Traits Using an Elite Breeding Panel
Abstract: Genome - wide association studies (GWAS) based on linkage disequilibrium (LD) provide a promising tool for the detection of quantitative trait loci (QTL) underlying complex agronomic traits. A total of 28 QTLs were located within the vicinity of previously identified QTLs for all traits using mixed linear model analysis in the irrigated elite breeding lines in dry season, and 45 QTLs in wet season. The highest association was for QHd3a conferring days to flowering (P < 10 - 16) followed by known QTL for grain length breadth ratio (P < 10 - 7 and qgy10.1 QTL for grain yield per plot (P < 10 - 6). Most QTLs had small effects which is typical of most quantitative traits. Most of the QTLs identified are season specific. Some other novel QTL alleles were also identified in this study that may be useful for increasing the yield potential in rice. These potential QTLs for selected traits are of interest to breeder and need to be further validated. Elite breeding populations proved to be interesting material for identifying regions involved in the variation of important traits in rice. This was the first study in rice in which an elite breeding panel was used. Previously for AM in rice, panels have consisted of land races and traditional varieties. We confirmed some regions already observed to be involved in the genetic control of plant height, days to flowering, length breadth ratio, 1000 grain - weight, yield per plant, filled grains per plant and grain yield per plot variation, Moreover, we discovered new QTLs for traits investigated. Association mapping offers great potential to enhance the genetic improvement of rice. The use of high throughput and cost effective next generation sequencing techniques that may enable GWA studies to become a popular and routine approach in rice. Accounting for population structure remains a big limitation for association studies that requires careful choice of germplasm and the development of advanced statistical approaches.
Keywords: GWAS, QTL, Rice, Breeding, Association Mapping
Edition: Volume 12 Issue 12, December 2023,
Pages: 1084 - 1089