Abstract
Abstract Complex traits influenced by multiple genes pose challenges for marker-assisted selection (MAS) in breeding. Genomic selection (GS) is a promising strategy for achieving higher genetic gains in quantitative traits by stacking favorable alleles into elite cultivars. Resistance to Fusarium oxysporum f. sp. niveum ( Fon ) race 2 in watermelon is a polygenic trait with moderate heritability. This study evaluated GS as an additional approach to quantitative trait loci (QTL) analysis/marker-assisted selection (MAS) for enhancing Fon race 2 resistance in elite watermelon cultivars. Objectives were to: (1) assess the accuracy of genomic prediction (GP) models for predicting Fon race 2 resistance in a F 2:3 versus a recombinant inbred line (RIL) population, (2) rank and select families in each population based on genomic estimated breeding values (GEBVs) for developing testing populations, and (3) determined how many of the most superior families based on GEBV also have all QTL associated with Fon race 2 resistance. GBS-SNP data from genotyping-by-sequencing (GBS) for two populations were used, and parental line genome sequences were used as references. The GBLUP and random forest outperformed the other three parametric (GBLUP, Bayes B, Bayes LASSO) and three nonparametric AI (random forest, SVM linear, and SVM radial) models, with correlations of 0.48 and 0.68 in the F 2:3 and RIL population, respectively. Selection intensities (SI) of 10%, 20%, and 30% showed that superior families with highest GEBV can also comprise all QTL associated with Fon race 2 resistance, highlighting GP efficacy in improving elite watermelon cultivars with polygenic traits of disease resistance.
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Claims 4
Claim · model-written summary
GBLUP and random forest outperformed the other parametric and nonparametric models for predicting Fon race 2 resistance in watermelon.
- Taxon
- watermelon
Citrullus lanatuse0 - Interactor
- Fusarium oxysporum f. sp. niveum
Fusarium oxysporum f. sp. niveume0pathogen - Outcome
- outperformede1
- Direction
- outperformede1
- Comparator
- the other three parametric (GBLUP, Bayes B, Bayes LASSO) and three nonparametric AI (random forest, SVM linear, and SVM radial) modelse1
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e1“The GBLUP and random forest outperformed the other three parametric (GBLUP, Bayes B, Bayes LASSO) and three nonparametric AI (random forest, SVM linear, and SVM radial) models, with correlations of 0.48 and 0.68 in the F 2:3 and RIL population, respectively”
e0“Resistance to Fusarium oxysporum f. sp. niveum ( Fon ) race 2 in watermelon is a polygenic trait with moderate heritability”
Claim · model-written summary
Genomic prediction models reached a correlation of 0.48 for Fon race 2 resistance in the F2:3 population of watermelon.
- Taxon
- watermelonCitrullus lanatuse0
- Material
- F 2:3e1
- Interactor
- Fusarium oxysporum f. sp. niveumFusarium oxysporum f. sp. niveume0pathogen
- Outcome
- correlationse1
- Value
- 0.48e1
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e1“The GBLUP and random forest outperformed the other three parametric (GBLUP, Bayes B, Bayes LASSO) and three nonparametric AI (random forest, SVM linear, and SVM radial) models, with correlations of 0.48 and 0.68 in the F 2:3 and RIL population, respectively”
e0“Resistance to Fusarium oxysporum f. sp. niveum ( Fon ) race 2 in watermelon is a polygenic trait with moderate heritability”
Claim · model-written summary
Genomic prediction models reached a correlation of 0.68 for Fon race 2 resistance in the RIL population of watermelon.
- Taxon
- watermelonCitrullus lanatuse0
- Material
- RIL populatione1
- Interactor
- Fusarium oxysporum f. sp. niveumFusarium oxysporum f. sp. niveume0pathogen
- Outcome
- correlationse1
- Value
- 0.68e1
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e1“The GBLUP and random forest outperformed the other three parametric (GBLUP, Bayes B, Bayes LASSO) and three nonparametric AI (random forest, SVM linear, and SVM radial) models, with correlations of 0.48 and 0.68 in the F 2:3 and RIL population, respectively”
e0“Resistance to Fusarium oxysporum f. sp. niveum ( Fon ) race 2 in watermelon is a polygenic trait with moderate heritability”
Claim · model-written summary
Superior families with the highest GEBV at selection intensities of 10%, 20% and 30% can also comprise all QTL associated with Fon race 2 resistance in watermelon.
- Taxon
- watermelonCitrullus lanatuse0
- Treatment
- Selection intensities (SI) of 10%, 20%, and 30%e2
- Interactor
- Fusarium oxysporum f. sp. niveumFusarium oxysporum f. sp. niveume0pathogen
- Outcome
- comprise all QTL associated with Fon race 2 resistancee2
- Value
- 10%, 20%, and 30%e2
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e2“Selection intensities (SI) of 10%, 20%, and 30% showed that superior families with highest GEBV can also comprise all QTL associated with Fon race 2 resistance”
e0“Resistance to Fusarium oxysporum f. sp. niveum ( Fon ) race 2 in watermelon is a polygenic trait with moderate heritability”