The use of genomic information can enhance the efficiency of conservation programs
• The development of genomic tools allows for more accurate estimates of genetic relationships between animals (genomic coancestry coefficients) than those obtained with pedigree data (pedigree-based coancestry coefficients) and thus permit better management of genetic diversity. • There are different issues relevant to conservation programs that could benefit from the use of genomic data. These include establishing synthetic ex situ populations, maintaining genetic diversity, preserving original genetic structures, and eliminating exogenous genetic information. The use of dense panels of single-nucleotide polymorphism (SNPs) in strategies proposed to deal with all these issues improves the general performance of conservation programs in both farm and wild animal populations. © Fernández, Toro, Gómez-Romano, and Villanueva.
Main Authors: | , , , |
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Format: | journal article biblioteca |
Language: | English |
Published: |
Oxford University Press
2016
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Subjects: | Genetic diversity, Genomic relationships, Population management, |
Online Access: | http://hdl.handle.net/20.500.12792/1366 http://hdl.handle.net/10261/293958 |
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Summary: | • The development of genomic tools allows for more accurate estimates of genetic relationships between animals (genomic coancestry coefficients) than those obtained with pedigree data (pedigree-based coancestry coefficients) and thus permit better management of genetic diversity. • There are different issues relevant to conservation programs that could benefit from the use of genomic data. These include establishing synthetic ex situ populations, maintaining genetic diversity, preserving original genetic structures, and eliminating exogenous genetic information. The use of dense panels of single-nucleotide polymorphism (SNPs) in strategies proposed to deal with all these issues improves the general performance of conservation programs in both farm and wild animal populations. © Fernández, Toro, Gómez-Romano, and Villanueva. |
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