A comparative analysis of genomic and phenomic predictions of growth-related traits in 3-way coffee hybrids.

ABSTRACT: Genomic prediction has revolutionized crop breeding despite remaining issues of transferability of models to unseen environmental conditions and environments. Usage of endophenotypes rather than genomic markers leads to the possibility of building phenomic prediction models that can account, in part, for this challenge. Here, we compare and contrast genomic prediction and phenomic prediction models for 3 growth-related traits, namely, leaf count, tree height, and trunk diameter, from 2 coffee 3-way hybrid populations exposed to a series of treatment-inducing environmental conditions. The models are based on 7 different statistical methods built with genomic markers and ChlF data used as predictors. This comparative analysis demonstrates that the best-performing phenomic prediction models s

SUBMITTER: Mbebi AJ 

PROVIDER: S-EPMC9434219 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature