Genomic evaluation for breeding and genetic management in Cordia africana, a multipurpose tropical tree species.

ABSTRACT:

Background

Planting tested forest reproductive material is crucial to ensure the increased resilience of intensively managed productive stands for timber and wood product markets under climate change scenarios. Single-step Genomic Best Linear Unbiased Prediction (ssGBLUP) analysis is a cost-effective option for using genomic tools to enhance the accuracy of predicted breeding values and genetic parameter estimation in forest tree species. Here, we tested the efficiency of ssGBLUP in a tropical multipurpose tree species, Cordia africana, by partial population genotyping. A total of 8070 trees from three breeding seedling orchards (BSOs) were phenotyped for height. We genotyped 6.1% of the phenotyped individuals with 4373 single nucleotide polymorphisms. The results of ssGBLUP were c

SUBMITTER: Ousmael KM 

PROVIDER: S-EPMC10759591 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature