Claim · model-written summary
Heritability estimates for measured traits ranged from 0.42 to 0.92.
Zea maysNot reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentComparatorSettingDirectionQualifier
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Heritability estimates were moderate (0.42) to high (0.92) for measured traits”
t0“tropical maize germplasm”
Title
Manje Gowda; Dan Makumbi; Biswanath Das; et al. Theoretical and Applied Genetics 2021. doi:10.1007/s00122-020-03744-4
Other claims from this paper (10)
- Observation Maize genotypes differed significantly in Striga resistance traits.
- Association Genotype by environment variation was significant for Striga resistance traits.
- Association GWAS identified 57 SNPs significantly associated with Striga resistance traits and grain yield, with low to moderate effects.
- Observation Thirty-two candidate genes near significant SNPs had roles in defense against biotic stress.
- Method / resource Genomic prediction was better for lines in new environments than for new lines.
- Method / resource Across-environment predictions had high accuracy for all traits.
- Method / resource Including GWAS-detected SNPs slightly increased prediction accuracy.
- Method / resource Item-based collaborative filtering outperformed genomic prediction for Striga resistance indicators.
- Observation Resistance to S. hermonthica was polygenic.
- Recommendation Using genomic prediction in Striga resistance breeding could increase genetic gain.