Claim · model-written summary
Using SNP subsets based on functional annotation did not significantly decrease chickpea grain-yield prediction accuracy.
- Taxon
- chickpea
Cicer arietinume1 - Outcome
- prediction accuracy for grain yielde0
- Direction
- did not significantly decreasee0
- Comparator
- whole SNP datasete0
Not reportedValue
Verbatim
e0“Compared with the whole SNP dataset, a subset of SNPs did not significantly decrease prediction accuracy for grain yield despite consisting of a smaller number of SNPs.”
e1“chickpea breeding lines”
Title
Yongle Li; Pradeep Ruperao; Jacqueline Batley; et al. The Plant Genome 2021. doi:10.1002/tpg2.20166
Other claims from this paper (7)
- Method / resource Resequencing 315 chickpea breeding lines discovered more than 298,000 SNPs.
- Observation Population structure revealed a distinct breeding-line group with alleles absent from recent Australian cultivars.
- Association GWAS identified 20 SNPs associated with chickpea grain yield across multiple field environments.
- Association Reduced nucleotide diversity and extended linkage disequilibrium suggested selection in some chickpea genomic regions.
- Observation A C. echinospermum introgression for phytophthora root rot resistance was identified on chromosome 6.
- Association The chromosome 6 C. echinospermum introgression reduced chickpea yield through linkage drag.
- Method / resource Training sets phenotyped under conditions relevant to target environments had better yield prediction accuracy.
Trillium camschatcense