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Dataset Information

Genetic architecture and genomic prediction for yield, winter damage, and digestibility traits in timothy (Phleum pratense L.) using genotyping-by-sequencing data.


ABSTRACT:

Key message

Accurate prediction of genomic breeding values for Timothy was possible using genomic best linear unbiased prediction. Timothy (Phleum pratense L.) is a grass species of great importance for Finnish agricultural production systems. Genotyping-by-sequencing along with genomic prediction methods offer the possibility to develop breeding materials efficiently. In addition, knowledge about the relationships among traits may be used to increase rates of genetic gain. Still, the quality of the genotypes and the validation population may affect the accuracy of predictions. The objectives of the study were (i) to estimate variance components for yield, winter damage and digestibility traits, and (ii) to assess the accuracy of genomic predictions. Variance components were estima

SUBMITTER: Vargas Jurado N 

PROVIDER: S-EPMC11920354 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature