Enhanced Bayesian model for multienvironmental selection of winter hybrids maize: assessing grain yield using ‘ProbBreed’

Thus, Selected hybrids are predicted to outperform within the recommended domain. Over and above, integrating genomic information into Bayesian models expected to enhance prediction accuracy and expedite breeding progress.

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Publication Details

Journal
Plant Methods
Published
2025-01-29
DOI
https://doi.org/10.1186/s13007-025-01327-2
Primary Topic
Genetics and Plant Breeding
Type
article
Field-Weighted Citation Impact
0.00
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article

Enhanced Bayesian model for multienvironmental selection of winter hybrids maize: assessing grain yield using ‘ProbBreed’

Umisha Upreti, Bikas Basnet, Chitra Bahadur Kunwar
Plant Methods
Genetics and Plant Breeding
article

Enhanced Bayesian model for multienvironmental selection of winter hybrids maize: assessing grain yield using ‘ProbBreed’

Umisha Upreti, Bikas Basnet, Chitra Bahadur Kunwar
article en

Abstract

Thus, Selected hybrids are predicted to outperform within the recommended domain. Over and above, integrating genomic information into Bayesian models expected to enhance prediction accuracy and expedite breeding progress.

Plant MethodsVol. 21(1)
Agriculture and Forestry University (NP), Nepal Agricultural Research Council (NP)
Zero hunger
Openalex Percentile: Top 99%
Genetics and Plant Breeding
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