ArticleG3 (Bethesda, Md.)2020
Genomic Prediction and Selection for Fruit Traits in Winter Squash.
Article in G3 (Bethesda, Md.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Inference of the genetic basis of fruit texture in highbush blueberries using genome-wide association analyses.Horticulture research · 2024Article
- Genomic selection for crop improvement in fruits and vegetables: a systematic scoping review.Molecular breeding : new strategies in plant improvement · 2024Article
- Optimizing drought tolerance in cassava through genomic selection.Frontiers in plant science · 2024Article
- Enhancing genomic prediction with Stacking Ensemble Learning in Arabica Coffee.Frontiers in plant science · 2024Article
- Characterization of the USDAFrontiers in plant science · 2023Article
- Boosting grapevine breeding for climate-smart viticulture: from genetic resources to predictive genomics.Frontiers in plant science · 2023Review
- Generalizable approaches for genomic prediction of metabolites in plants.The plant genome · 2022Article
- Genetic characterization of carrot root shape and size using genome-wide association analysis and genomic-estimated breeding values.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Article
- Genome-wide association study and genomic prediction of white rust resistance in USDA GRIN spinach germplasm.Horticulture research · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Improving fruit quality is an important but challenging breeding goal in winter squash. Squash breeding in general is resource-intensive, especially in terms of space, and the biology of squash makes it difficult to practice selection on both parents. These restrictions translate to smaller breeding populations and limited use of greenhouse generations, which in turn, limit genetic gain per breeding cycle and increases cycle length. Genomic selection is a promising technology for improving breeding efficiency; yet, few studies have explored its use in horticultural crops. We present results demonstrating the predictive ability of whole-genome models for fruit quality traits. Predictive abilities for quality traits were low to moderate, but sufficient for implementation. To test the use of genomic selection for improving fruit quality, we conducted three rounds of genomic recurrent selection in a butternut squash (
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Registered trials
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