Balancing selection response and inbreeding by including predicted stabilised genetic contributions in selection decisions

Brisbane, J. R.; Gibson, J. Phil

doi:10.1186/1297-9686-27-6-541

Cited by 18 publications

(9 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The earliest attempts have modified selection indices by inflating genetic parameters [14,20,37] or by decreasing the weight of familial information vs. the weight of individual information [11,20,34,41] or by including penalties for individual's inbreeding coefficient [20,37] or for the average coancestry between individual and the rest of the population [4,5,41]. The most advanced proposal consists of determinating selection of parents and their future contribution after optimizing a decision rule, in general after maximizing genetic gains, based on true estimated breeding values (EBV) and given a certain level of accepted inbreeding rate [4,5,15,16,21,22,26,27,35,36,40]. Compared to a reference scheme, the last implementation is able to enhance genetic gains by several tens of %, reasoning at the same level of inbreeding coefficients.…”

Section: Introductionmentioning

confidence: 99%

A method for the dynamic management of genetic variability in dairy cattle

et al. 2004

View full text Add to dashboard Cite

According to the general approach developed in this paper, dynamic management of genetic variability in selected populations of dairy cattle is carried out for three simultaneous purposes: procreation of young bulls to be further progeny-tested, use of service bulls already selected and approval of recently progeny-tested bulls for use. At each step, the objective is to minimize the average pairwise relationship coefficient in the future population born from programmed matings and the existing population. As a common constraint, the average estimated breeding value of the new population, for a selection goal including many important traits, is set to a desired value. For the procreation of young bulls, breeding costs are additionally constrained. Optimization is fully analytical and directly considers matings. Corresponding algorithms are presented in detail. The efficiency of these procedures was tested on the current Norman population. Comparisons between optimized and real matings, clearly showed that optimization would have saved substantial genetic variability without reducing short-term genetic gains.

show abstract

Section: Introductionmentioning

confidence: 99%

A method for the dynamic management of genetic variability in dairy cattle

et al. 2004

View full text Add to dashboard Cite

show abstract

“…Nevertheless, the net effect of inbreeding in a selection programme will depend on the magnitude of the selection response relative to the depression due to the accumulated inbreeding. Depending on whether genetic gain and inbreeding depression compensate for each other, the level of inbreeding of the animals may need to be accounted for in the selection process (KELLER et al 1989;ROEHE et al 1993;KLIEVE et al 1994;BRISBANE and GIBSON 1995). On the other hand, the response to inbreeding is not the same for all animals.…”

Section: Introductionmentioning

confidence: 99%

Study of the variability of the response to inbreeding for meat production in Merino sheep

Analla¹,

Montilla²,

Serradilla³

1999

J Animal Breeding Genetics

View full text Add to dashboard Cite

Introduction Inbreeding is known to affect metric traits. Reduction of additive genetic variance, as well as phenotypic values are its most significant deleterious effects. Yet the emergence of disorders due to recessive gene action constitutes another important aspect. Despite the fact that some effect of inbreeding can be positively used in selection schemes (T oro 1993), breeders are aware of the deleterious effects and try to avoid them. This is particularly true when the selection nucleus and the related population are of small size. Several authors (H agger 1991; V errier et al. 1993; W ray and G oddard 1994) have stressed that the application of sophisticated methods of selection, particularly BLUP‐based techniques (H enderson 1973) is to be reconsidered in the light of inbreeding effects. Comparisons of selection methods should therefore account for inbreeding depression (T oro and P jrez‐E nciso 1990; Q uinton et al. 1992). Other authors believe that inbreeding depression is not so important, at least in the meat production industry (G ama and S mith 1993) for traits with high heritabilities. Nevertheless, the net effect of inbreeding in a selection programme will depend on the magnitude of the selection response relative to the depression due to the accumulated inbreeding. Depending on whether genetic gain and inbreeding depression compensate for each other, the level of inbreeding of the animals may need to be accounted for in the selection process (K eller et al. 1989; R oehe et al. 1993; K lieve et al. 1994; B risbane and G ibson 1995). On the other hand, the response to inbreeding is not the same for all animals. There is an important range of variation for the estimates of inbreeding depression reported in the literature (e.g. L amberson and T homas 1984). Differences in such a response with respect to identifiable sources of variation should be examined. The objective of this work was to study the relationship between the depression due to inbreeding and litter size of ewes and weights of lambs; and to identify sources of a possible differential response to inbreeding between animals coming from different genetic line, sex, or type of birth.

show abstract

“…This helps to increase the prediction accuracy and the genetic gain in the long term. To preserve genetic variation, the selection of closely related individuals should be avoided (Lindgren and Mullin 1997) or the inbreeding coefficient should be minimized (Brisbane and Gibson 1995). Although genomic selection uses GEBVs for parental selection, alternative score functions to guide the parental selection have been proposed.…”

mentioning

confidence: 99%

Preservation of Genetic Variation in a Breeding Population for Long-Term Genetic Gain

Vanavermaete

Fostier

Maenhout³

et al. 2020

G3 Genes|Genomes|Genetics

View full text Add to dashboard Cite

Genomic selection has been successfully implemented in plant and animal breeding. The transition of parental selection based on phenotypic characteristics to genomic selection (GS) has reduced breeding time and cost while accelerating the rate of genetic progression. Although breeding methods have been adapted to include genomic selection, parental selection often involves truncation selection, selecting the individuals with the highest genomic estimated breeding values (GEBVs) in the hope that favorable properties will be passed to their offspring. This ensures genetic progression and delivers offspring with high genetic values. However, several favorable quantitative trait loci (QTL) alleles risk being eliminated from the breeding population during breeding. We show that this could reduce the mean genetic value that the breeding population could reach in the long term with up to 40%. In this paper, by means of a simulation study, we propose a new method for parental mating that is able to preserve the genetic variation in the breeding population, preventing premature convergence of the genetic values to a local optimum, thus maximizing the genetic values in the long term. We do not only prevent the fixation of several unfavorable QTL alleles, but also demonstrate that the genetic values can be increased by up to 15 percentage points compared with truncation selection.

show abstract

Balancing selection response and inbreeding by including predicted stabilised genetic contributions in selection decisions

Cited by 18 publications

References 3 publications

A method for the dynamic management of genetic variability in dairy cattle

A method for the dynamic management of genetic variability in dairy cattle

Study of the variability of the response to inbreeding for meat production in Merino sheep

Preservation of Genetic Variation in a Breeding Population for Long-Term Genetic Gain

Contact Info

Product

Resources

About