Activities per year
Abstract
Optimal contribution methods have proved to
be very efficient for controlling the rate at which coancestry
and inbreeding increase and therefore for maintaining genetic
diversity. These methods have usually used pedigree
information for estimating expected genetic relationships
between animals. However, the large amount of genomic
information now available (dense chips containing thousand
of SNP markers), provides us with a good opportunity of
obtaining more accurate estimates of relationships. Genomic
information also permits us now to target specific regions in
the genome where there is an interest in maximising diversity.
Using a semidefinite programming optimisation approach,
we have investigated the effectiveness of using
genomic coancestry matrices for controlling the loss of
genetic variability in specific genomic regions while restricting
the overall loss in the rest of the genome. The results
show that genomic management was very successful
for avoiding loss of diversity at specific genomic regions
(even increased diversity). This management was also successful
in restricting the loss of diversity in the remaining
genome although the realised rate of coancestry resulted
higher than the restriction imposed. There is thus a need of
refining the theory of genetic contributions when realised
genomic matrices are used.
be very efficient for controlling the rate at which coancestry
and inbreeding increase and therefore for maintaining genetic
diversity. These methods have usually used pedigree
information for estimating expected genetic relationships
between animals. However, the large amount of genomic
information now available (dense chips containing thousand
of SNP markers), provides us with a good opportunity of
obtaining more accurate estimates of relationships. Genomic
information also permits us now to target specific regions in
the genome where there is an interest in maximising diversity.
Using a semidefinite programming optimisation approach,
we have investigated the effectiveness of using
genomic coancestry matrices for controlling the loss of
genetic variability in specific genomic regions while restricting
the overall loss in the rest of the genome. The results
show that genomic management was very successful
for avoiding loss of diversity at specific genomic regions
(even increased diversity). This management was also successful
in restricting the loss of diversity in the remaining
genome although the realised rate of coancestry resulted
higher than the restriction imposed. There is thus a need of
refining the theory of genetic contributions when realised
genomic matrices are used.
Original language | English |
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Title of host publication | Proceedings, 10th World Congress of Genetics Applied to Livestock Production |
Number of pages | 3 |
Publication status | Published - Aug 2014 |
Event | 10th World Congress on Genetics Applied to Livestock production (WCGALP) - Vancouver, Canada Duration: 17 Aug 2014 → 22 Aug 2014 |
Conference
Conference | 10th World Congress on Genetics Applied to Livestock production (WCGALP) |
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Country/Territory | Canada |
City | Vancouver |
Period | 17/08/14 → 22/08/14 |
Keywords / Materials (for Non-textual outputs)
- Genetic diversity
- Inbreeding
- Coancestry
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Dive into the research topics of 'The use of genomic coancestry matrices in the optimization of contributions for maintaining diversity at specific regions of the genome'. Together they form a unique fingerprint.Activities
- 1 Types of External academic engagement - Hosting an academic visitor
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Development of tools for using high dense genome-wide SNP genotypes for maintaining genetic variability at genomic regions involved in disease resistance
Ricardo Pong-Wong (Member)
28 Jun 2012 → 28 Sept 2012Activity: Other activity types › Types of External academic engagement - Hosting an academic visitor