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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
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dc.contributor.author | Ousmael, Kedra M. | |
dc.contributor.author | Cappa, Eduardo Pablo | |
dc.contributor.author | Hansen, Jon K. | |
dc.contributor.author | Hendre, Prasad | |
dc.contributor.author | Hansen, Ole K. | |
dc.date.accessioned | 2024-03-27T17:57:24Z | |
dc.date.available | 2024-03-27T17:57:24Z | |
dc.date.issued | 2024-01-02 | |
dc.identifier.issn | 1471-2164 | |
dc.identifier.other | https://doi.org/10.1186/s12864-023-09907-z | |
dc.identifier.uri | http://hdl.handle.net/20.500.12123/17250 | |
dc.identifier.uri | https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-023-09907-z | |
dc.description.abstract | 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 compared with pedigree-based best linear unbiased prediction (ABLUP) and genomic best linear unbiased prediction (GBLUP), based on genetic parameters, theoretical accuracy of breeding values, selection candidate ranking, genetic gain, and predictive accuracy and prediction bias. | eng |
dc.format | application/pdf | es_AR |
dc.language.iso | eng | es_AR |
dc.publisher | BMC | es_AR |
dc.rights | info:eu-repo/semantics/openAccess | es_AR |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | es_AR |
dc.source | BMC Genomics 25 : Article number: 9 (2024) | es_AR |
dc.subject | Quantitative Genetics | eng |
dc.subject | Genética Cuantitativa | es_AR |
dc.subject | Cordia | |
dc.subject.other | Single Step GBLUP | eng |
dc.subject.other | BLUP de un Solo Paso | es_AR |
dc.subject.other | Quantitative Genetics Parameters | eng |
dc.subject.other | Parámetros Genéticos Cuantitativos | es_AR |
dc.subject.other | Cordia africana | es_AR |
dc.subject.other | Tropical Tree Breeding | eng |
dc.subject.other | Cría de Arboles Tropicales | es_AR |
dc.subject.other | Genetic Management | eng |
dc.subject.other | Manejo Genético | es_AR |
dc.title | Genomic evaluation for breeding and genetic management in Cordia africana, a multipurpose tropical tree species | es_AR |
dc.type | info:ar-repo/semantics/artículo | es_AR |
dc.type | info:eu-repo/semantics/article | es_AR |
dc.type | info:eu-repo/semantics/publishedVersion | es_AR |
dc.rights.license | Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) | es_AR |
dc.description.origen | Instituto de Recursos Biológicos | |
dc.description.fil | Fil: Ousmael, Kedra M. University of Copenhagen. Department of Geosciences and Natural Resource Management, Dinamarca | es_AR |
dc.description.fil | Fil: Cappa, Eduardo Pablo. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Recursos Biológicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina | es_AR |
dc.description.fil | Fil: Hansen, Jon K. University of Copenhagen. Department of Geosciences and Natural Resource Management, Dinamarca | es_AR |
dc.description.fil | Fil: Hendre, Prasad. Naciones Unidas. World Agroforestry Centre (ICRAF); Kenia | es_AR |
dc.description.fil | Fil: Hansen, Ole K. University of Copenhagen. Department of Geosciences and Natural Resource Management, Dinamarca | es_AR |
dc.subtype | cientifico |
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