Comparing gradient boosting machine and Bayesian threshold BLUP for genome‐based prediction of categorical traits in wheat breeding
Abstract Genomic selection (GS) is a predictive methodology that is changing plant breeding. Genomic selection trains a statistical machine‐learning model using available phenotypic and genotypic data with which predictions are performed for individuals that were only genotyped. For this reason, som...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-09-01
|
| Series: | The Plant Genome |
| Online Access: | https://doi.org/10.1002/tpg2.20214 |