Evaluating the accuracy of genomic prediction for the management and conservation of relictual natural tree populations

• Published in: Tree genetics & genomes Vol. 17; no. 1; p. 12
• Main Authors: Arenas, Sebastián, Cortés, Andrés J., Mastretta-Yanes, Alicia, Jaramillo-Correa, Juan Pablo
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2021; Springer Nature B.V
• Subjects: Abies religiosa; aboveground biomass; Assisted migration; Bioinformatics; Biomedical and Life Sciences; Biotechnology; data collection; Data reduction; Datasets; Endangered & extinct species; Endangered populations; Endangered species; evolution; Forestry; genome; Genomics; Genotyping; Growing season; Life Sciences; Mexico; Natural populations; Nucleotides; Original Article; Performance prediction; phenotype; Phenotypes; Plant Breeding/Biotechnology; plant genetics; Plant Genetics and Genomics; Populations; prediction; Single-nucleotide polymorphism; Tree Biology; Water potential; Wildlife conservation; Mexico; Genomic prediction (GP); Forest management; Mexico; Secluded natural populations; Predictive ability
• ISSN: 1614-2942; 1614-2950
• DOI: 10.1007/s11295-020-01489-1

Studying and understanding the evolution of relictual natural populations is critical for developing conservation initiatives of endangered species, such as management in situ and assisted migration. Recently, genomic and bioinformatics tools have promised a wide avenue for developing more efficient...