Relatedness and genotype x environment interaction affect prediction accuracies in genomic selection: a study in cassava
Before implementation of genomic selection, evaluation of the potential accuracy of prediction can be obtained by cross-validation. In this procedure, a population with both phenotypes and genotypes is split into training and validation sets. The prediction model is fitted using the training set, an...
| Main Authors: | , , , , , , , , , |
|---|---|
| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Wiley
2013
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/76637 |
Similar Items: Relatedness and genotype x environment interaction affect prediction accuracies in genomic selection: a study in cassava
- Accuracies of univariate and multivariate genomic prediction models in African cassava
- Improving root characterisation for genomic prediction in cassava
- Leveraging agrigenomics" for crop improvement"
- Genetic mapping using genotypingbysequencing in the clonally propagated cassava
- Combining high-throughput phenotyping and genomic information to increase prediction and selection accuracy in wheat breeding
- A unified mixed model method for association mapping that accounts for multiple levels of relatedness