scholarly journals Genome-wide association mapping for wood characteristics inPopulusidentifies an array of candidate single nucleotide polymorphisms

2013 ◽  
Vol 200 (3) ◽  
pp. 710-726 ◽  
Author(s):  
Ilga Porth ◽  
Jaroslav Klapšte ◽  
Oleksandr Skyba ◽  
Jan Hannemann ◽  
Athena D. McKown ◽  
...  
Keyword(s):  
Single Nucleotide Polymorphisms ◽  
Association Mapping ◽  
Genome Wide Association ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Genome Wide

scholarly journals Genome wide association mapping of yield and other agronomic traits in rice: Narrative literature review

2021 ◽  
Vol 12 (3) ◽  
pp. 354-367
Author(s):  
Muhammad Asad ◽  
Izzah Ihsan ◽  
Muther Mansoor Qaisrani ◽  
Hafiz Muhammad Zeeshan Raza ◽  
Jallat Khan
Keyword(s):  
Quantitative Trait Locus ◽  
Single Nucleotide Polymorphisms ◽  
Association Mapping ◽  
Quantitative Trait ◽  
Genome Wide Association ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Breeding Populations ◽  
Genome Wide ◽  
Trait Locus

Based on previous recombination actions and LD (linkage disequilibrium) throughout the genome, genome wide association mapping studies often are employed to find Quantitative trait locus in varied collections of crop germplasm. Generally, diverse panel’s genotyped using high density Single nucleotide polymorphism (SNP) panels are used to test a broad variety of haplotypes and alleles, as well as to track recombination divisions throughout the genome. GWAS, on the other hand, have rarely been used in breeding populations. We studied association mapping for agricultural parameters such as yield and its constituents in a breeding inhabitants of top irrigated tropical rice progenies so that the findings could be used to breeding more directly than those from a diverse panel. GWAS was undertaken with the specific purpose of accelerating selection in the breeding population, and the sample was genotyped with 71,710 Single nucleotide polymorphisms using genotyping-by-sequencing. We found 52 Quantitative trait locus QTL for 11 agronomic characteristics using this breeding panel, including substantial impact Quantitative trait loci (QTLs) for flowering period as well as grain width, grain length, grain length-breadth ratio. Furthermore we discovered haplotypes that may be applied to choose plants for our population with smaller stature (plant height), fast blooming time, with high yield, demonstrating the value of association mapping for advising breeding choices in breeding populations. Furthermore, we explore at how genomic-assisted selection models might be built using the newly discovered important Single nucleotide polymorphisms (SNPs) and deep insight into the genetic structure of these quantitative traits.

Sign in / Sign up

Export Citation Format

Share Document