Genomic selection optimization in blueberry: Data‐driven methods for marker and training population design
Abstract Genomic prediction is a modern approach that uses genome‐wide markers to predict the genetic merit of unphenotyped individuals. With the potential to reduce the breeding cycles and increase the selection accuracy, this tool has been designed to rank genotypes and maximize genetic gains. Des...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-09-01
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| Series: | The Plant Genome |
| Online Access: | https://doi.org/10.1002/tpg2.20488 |
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