Genetic improvement of the pig.

Dekkers, Jack C. M.; Mathur, P. K.; Knol, E.F.; Rothschild, Max F.; Ruvinsky, A.

doi:10.1079/9781845937560.0390

Cited by 37 publications

(41 citation statements)

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“…Another scenario to reduce routine costs of genomic selection is the genotyping with a SNP panel of reduced density, to impute missing SNP genotypes from a HD panel (Habier et al 2009;Dekkers et al 2011). Imputation techniques were recently reviewed by Calus et al (2014) by giving a complete overview of features and techniques associated to this strategy.…”

Section: Economic Aspects Of Genomic Selectionmentioning

confidence: 99%

Genomic selection in pigs: state of the art and perspectives

Samoré

Fontanesi

2016

Italian Journal of Animal Science

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Genomic selection, that is based on the prediction of the breeding value (the genomic breeding value or GEBV) of the animals considering genomic information, is changing breeding strategies and approaches in dairy cattle and in several other livestock species. The starting points for the application of genomic selection in pigs were the development of a first commercial singlenucleotide polymorphism panel for high throughput genotyping, the sequencing of the pig genome and the application of statistical and methodological approaches first developed in dairy cattle and then adapted to the peculiarities of the pig breeding industry. In this review, we focused on the specific applications of the genomic selection in pigs, considering its limits, its advantages and its perspectives throughout an analysis of the simulation studies and field applications already available targeting many different traits (with high and low heritability). In addition, we presented an overview of the problems related to the implementation of genomic selection in crossbred and multi-breed pig populations and the potential solutions taking into account the economic aspects that should be faced in including genomic selection in pig breeding programmes. ARTICLE HISTORY

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Section: Economic Aspects Of Genomic Selectionmentioning

confidence: 99%

Genomic selection in pigs: state of the art and perspectives

Samoré

Fontanesi

2016

Italian Journal of Animal Science

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“…However, this strategy could be difficult to implement in practical breeding situations for the short time span between birth and the beginning of the sib test. Because timing is essential to keep short generation intervals in pig selection programs (Dekkers et al, 2011;Tribout et al, 2011), this issue was not further investigated. In that perspective, the possible co-selection of multiple sibs as selection candidates would not be practical, also for the problems derived by an increased level of inbreeding (Lillehammer et al, 2011).…”

Section: Single-step (Sstep) Methodsmentioning

confidence: 99%

“…Finally, the implementation of a successful genomic selection program should balance the advantages derived from the enlargement of the training population and the extra costs involved in genotyping to assure the maximum benefit associated with selection (Akanno et al, 2014). A potential perspective could include the reorganization of the current swine breeding programs to exploit benefits associated with genomic selection (Dekkers et al, 2011;Akanno et al, 2014).…”

Section: Single-step (Sstep) Methodsmentioning

confidence: 99%

“…However, compared with dairy cattle programs, pig breeding programs are characterized by populations structured in pyramidal organizations with high selection intensity and short generation intervals (Dekkers et al, 2011;Tribout et al, 2011). In addition, some current selection schemes are designed to optimize phenotypes of meat quality and/or carcass traits that can only be measured postmortem.…”

Section: Introductionmentioning

confidence: 99%

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Genomic selection in a pig population including information from slaughtered full sibs of boars within a sib-testing program

Samoré

Buttazzoni²,

Gallo

et al. 2015

Animal

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Genomic selection is becoming a common practise in dairy cattle, but only few works have studied its introduction in pig selection programs. Results described for this species are highly dependent on the considered traits and the specific population structure. This paper aims to simulate the impact of genomic selection in a pig population with a training cohort of performance-tested and slaughtered full sibs. This population is selected for performance, carcass and meat quality traits by full-sib testing of boars. Data were simulated using a forward-in-time simulation process that modeled around 60K single nucleotide polymorphisms and several quantitative trait loci distributed across the 18 porcine autosomes. Data were edited to obtain, for each cycle, 200 sires mated with 800 dams to produce 800 litters of 4 piglets each, two males and two females (needed for the sib test), for a total of 3200 newborns. At each cycle, a subset of 200 litters were sib tested, and 60 boars and 160 sows were selected to replace the same number of culled male and female parents. Simulated selection of boars based on performance test data of their full sibs (one castrated brother and two sisters per boar in 200 litters) lasted for 15 cycles. Genotyping and phenotyping of the three tested sibs (training population) and genotyping of the candidate boars (prediction population) were assumed. Breeding values were calculated for traits with two heritability levels ( h 2 = 0.40, carcass traits, and h 2 = 0.10, meat quality parameters) on simulated pedigrees, phenotypes and genotypes. Genomic breeding values, estimated by various models (GBLUP from raw phenotype or using breeding values and single-step models), were compared with the classical BLUP Animal Model predictions in terms of predictive ability. Results obtained for traits with moderate heritability ( h 2 = 0.40), similar to the heritability of traits commonly measured within a sib-testing program, did not show any benefit from the introduction of genomic selection. None of the considered genomic models provided improvements in prediction ability of pigs with no recorded phenotype. However, a few advantages were found for traits with low heritability ( h 2 = 0.10). These heritability levels are characteristic for meat quality traits recorded after slaughtering or for reproduction or health traits, typically recorded on field and not in performance stations. Other scenarios of data recording and genotyping should be evaluated before considering the implementation of genomic selection in a pig-selection scheme based on sib testing of boars.

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“…This includes traits of interest, relative significance of each trait and the direction of improvement. The traits included in the breeding goal depend upon the expected market requirements of the end product (Dekkers et al, 2011). In pig breeding, this means consumer expectations when the pork from genetically improved breeding stock will be sold.…”

Section: Introductionmentioning

confidence: 99%

New phenotypes for new breeding goals in pigs

Merks¹,

Mathur²,

Knol³

2012

Animal

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Pig breeders in the past have adopted their breeding goals according to the needs of the producers, processors and consumers and have made remarkable genetic improvements in the traits of interest. However, it is becoming more and more challenging to meet the market needs and expectations of consumers and in general of the citizens. In view of the current and future trends, the breeding goals have to include several additional traits and new phenotypes. These phenotypes include (a) vitality from birth to slaughter, (b) uniformity at different levels of production, (c) robustness, (d) welfare and health and (e) phenotypes to reduce carbon footprint. Advancements in management, genomics, statistical models and other technologies provide opportunities for recording these phenotypes. These new developments also provide opportunities for making effective use of the new phenotypes for faster genetic improvement to meet the newly adapted breeding goals.

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Genetic improvement of the pig.

Cited by 37 publications

References 0 publications

Genomic selection in pigs: state of the art and perspectives

Genomic selection in pigs: state of the art and perspectives

Genomic selection in a pig population including information from slaughtered full sibs of boars within a sib-testing program

New phenotypes for new breeding goals in pigs

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