Title: | The Value of Information from Commercial Livestock in Genetic Improvement Programmes |
Contributor(s): | Santos, Bruno Fernandes Sales (author); Van Der Werf, Julius (supervisor) ; Amer, Peter (supervisor); Gibson, John (supervisor) |
Conferred Date: | 2018-10-27 |
Copyright Date: | 2018-01 |
Handle Link: | https://hdl.handle.net/1959.11/57457 |
Related DOI: | 10.1186/s12711-016-0281-2 10.1111/jbg.12328 |
Related Research Outputs: | https://www.nzsap.org/proceedings/2015/transfers-genetic-merit-through-multiple-tiered-breeding-structures-trait |
Abstract: | | The importance of extending trait measurement to commercial operations to improve
rates of genetic improvement in breeding schemes is of increasing research interest due to the
improved ability to identify and record animals using new technologies. In integrated multitiered breeding schemes, selection of commercial ewes and multiplier rams is frequently driven
by soundness and overall condition of selected animals and sometimes, based on whether or
not the replacement candidate was born in a multiple litter. In breeder flocks, selection is
usually supported by knowledge of the genetic merit of candidates. In breeding schemes
forming a part of a multi-tier integrated production system, genetic progress is disseminated
from the nucleus to the commercial tier through the transfer of males. The opportunity to
increase the rate of progress and reduce the genetic lag between tiers in integrated production
systems might be exploited by using information from lower tiers to reduce generation interval
through candidates’ selection in these tiers and to increase prediction accuracy in individuals
from the nucleus.
Through deterministic simulation this study estimated the economic benefits that can
be generated in multi-tier breeding schemes by implementing performance recording in
conjunction with either DNA pedigree assignment or genomic selection. The overall economic
benefits of improved performance in the commercial tier, brought about by higher merit
multiplier rams, offset the costs of recording the multiplier tier. The net cumulative benefit per
commercial ewe over a period of 40 years ranges from $117 to $249 of additional genetic
progress depending on the level of GxE and breeding objective of the production system.
Applying genomic selection was the most beneficial strategy if testing costs can be reduced or
by genotyping only a proportion of the selection candidates. When the cost of genotyping was
reduced, i.e. from $50 to $25 per test, scenarios that combined performance recording with
genomic selection were more profitable and reached breakeven point at about 10 years, as
opposed to 20 years. This gain however, does not have the permanent and cumulative
properties of genetic progress achieved in the nucleus flock, and so needs to be continued each
year for the benefits to be maintained. Also, the strategies in which recorded multiplier ewes
and rams were selected as replacements for the nucleus flock did modestly increase
profitability by 2 to 5% when compared to a closed nucleus structure.
The opportunity to expand the benefits of data recorded on commercial farm animals
in livestock industries was then estimated if these data were used to improve selection accuracy
of breeding nucleus individuals. In multi-tiered breeding schemes, the top tier is frequently maintained under different conditions to that of the commercial tier, which may lead to a
genotype by environment interaction (GxE) that affects performance in target environments.
If there is a genotype by environment interaction such that the expression of traits in the nucleus
is not fully transmitted to the commercial tier, there will be an additional advantage to using
commercial information for genomic prediction. With multi trait selection, both ranking and
scale-type GxE may lead to significant re-ranking for overall economic merit, which can be
exacerbated when economic values are different between different environments.
The findings of our study indicate minimal evidence of significant sire re-ranking for
most traits. Nevertheless, based on relatively limited data, correlations among nucleus and
commercial flocks were low for weaning weight (0.79 or less) and dag score (0.85 or less).
Also, the spread of EBVs and heritability estimates on other economically important traits
differed significantly across environments, which infers distinct responses to selection.
The inclusion of phenotypic and genomic data from lower tiers led to increased
accuracy of prediction in the breeding tier. When trait phenotypes and genomic information
from related commercial individuals were available for genetic evaluations, these could be
used as training animals in genomic prediction and link a wider range of selection candidates.
Our results indicate that for a genetic correlation of 0.75 between the nucleus and the
commercial environment, the accuracy of prediction increased from 0.28 to 0.77 when the
number of commercial individuals recorded per year increased from 0 to 2,000. This has
potential to benefit larger numbers of individuals across tiers, as it allows accurate selection of
candidates that perform well across environments. The extent of genomic relationships
between nucleus and commercial individuals was critical to predict the improved accuracy
contributed by the commercial information, as was the number of commercial individuals
tested. In the presence of a substantial GxE between the nucleus and commercial tiers, the
value of the commercial phenotypic records and genotypes was further enhanced.
The objective of the final chapter was to model the potential impact of using
commercial information on the additional genetic gain, relative to a typical scenario without
commercial individual’s performance records, pedigree or genotype information, nor
accounting of GxE. Greatest impacts were found to arise from the use of trait measurement
and genotype data from commercial operations to more accurately select nucleus sires. Benefits
from shortening the genetic lag between commercial and nucleus flocks through improved
selection of males for use in the multiplier and commercial tiers were more modest, and the
cost effectiveness was very dependent on low genotyping costs. In practice, performance records and genotypes from commercial individuals may strengthen the links between breeders
and commercial farmers leading to more relevant genetic progress although novel business
agreements will be required for implementation in situations where commercial tiers are
separate business entities to the nucleus and/or multiplier tiers.
Publication Type: | Thesis Doctoral |
Fields of Research (FoR) 2008: | 060412 Quantitative Genetics (incl. Disease and Trait Mapping Genetics) 070201 Animal Breeding |
Fields of Research (FoR) 2020: | 310506 Gene mapping 300305 Animal reproduction and breeding |
Socio-Economic Objective (SEO) 2008: | 830310 Sheep - Meat |
Socio-Economic Objective (SEO) 2020: | 100412 Sheep for meat |
HERDC Category Description: | T2 Thesis - Doctorate by Research |
Description: | | Please contact rune@une.edu.au if you require access to this thesis for the purpose of research or study.
Appears in Collections: | School of Environmental and Rural Science Thesis Doctoral
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