Abstract
Bread-making quality traits are central targets for wheat breeding. The objectives of our study were to (1) examine the presence of major effect QTLs for quality traits in a Central European elite wheat population, (2) explore the optimal strategy for predicting the hybrid performance for wheat quality traits, and (3) investigate the effects of marker density and the composition and size of the training population on the accuracy of prediction of hybrid performance. In total 135 inbred lines of Central European bread wheat (Triticum aestivum L.) and 1,604 hybrids derived from them were evaluated for seven quality traits in up to six environments. The 135 parental lines were genotyped using a 90k single-nucleotide polymorphism array. Genome-wide association mapping initially suggested presence of several quantitative trait loci (QTLs), but cross-validation rather indicated the absence of major effect QTLs for all quality traits except of 1000-kernel weight. Genomic selection substantially outperformed marker-assisted selection in predicting hybrid performance. A resampling study revealed that increasing the effective population size in the estimation set of hybrids is relevant to boost the accuracy of prediction for an unrelated test population.
Abstract from the paper’s OpenAlex record; open copy licensed cc-by. Read at the source ↗
The text the model read, with the source record’s inline markup (italics, sub- and superscripts) rendered and its character entities decoded; quote offsets refer to the raw text.
Claims 3
Claim · model-written summary
Cross-validation indicated no major-effect QTLs for wheat quality traits other than 1000-kernel weight.
- Taxon
- Wheat
Triticum aestivumt0 - Outcome
- absence of major effect QTLs for all quality traits except of 1000-kernel weighte0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“cross-validation rather indicated the absence of major effect QTLs for all quality traits except of 1000-kernel weight.”
t0“Wheat”
Claim · model-written summary
Genomic selection outperformed marker-assisted selection for predicting wheat hybrid performance.
- Taxon
- WheatTriticum aestivumt0
- Outcome
- predicting hybrid performancee0
- Direction
- outperformede0
- Comparator
- marker-assisted selectione0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“Genomic selection substantially outperformed marker-assisted selection in predicting hybrid performance.”
t0“Wheat”
Claim · model-written summary
Larger effective hybrid estimation populations improved prediction accuracy for unrelated test populations.
- Taxon
- WheatTriticum aestivumt0
- Material
- hybridse0
- Outcome
- accuracy of predictione0
- Direction
- booste0
Organisms pictured · Representative pictures of the matched species, not figures from the paper.
Verbatim
e0“increasing the effective population size in the estimation set of hybrids is relevant to boost the accuracy of prediction for an unrelated test population.”
t0“Wheat”