An ABC estimate of pedigree error rate: application in dog, sheep and cattle breeds

On the basis of correlations between pairwise individual genealogical kinship coefficients and allele sharing distances computed from genotyping data, we propose an approximate Bayesian computation (ABC) approach to assess pedigree file reliability through gene-dropping simulations. We explore the features of the method using simulated data sets and show precision increases with the number of markers. An application is further made with five dog breeds, four sheep breeds and one cattle breed raised in France and displaying various characteristics and population sizes, using microsatellite or SNP markers. Depending on the breeds, pedigree error estimations range between 1% and 9% in dog breeds, 1% and 10% in sheep breeds and 4% in cattle breeds.     

Sex identification of pigs using polymerase chain reaction amplification of the amelogenin gene

The amelogenin (AMEL) gene exists on both sex chromosomes of various mammalian species and the length and sequence of the noncoding regions differ between the two chromosome-specific alleles. Because both forms can be amplified using a single primer set, the use of AMEL in polymerase chain reaction (PCR)-based methods has facilitated sex identification in various mammalian species, including cattle, sheep and humans. In this study, we designed PCR primers to yield different-sized products from the AMEL genes on the X (AMELX) and Y (AMELY) chromosomes of pigs. PCR amplification of genomic DNA samples collected from various breeds of pigs (European breeds: Landrace, Large White, Duroc and Berkshire; Chinese breeds: Meishan and Jinhua and their crossbreeds) yielded the expected products. For all breeds, DNA from male pigs produced two bands (520 and 350 bp; AMELX and AMELY, respectively), whereas samples from female pigs generated only the 520 bp product. We then tested the use of PCR of AMEL for sex identification of in vitro-produced (IVP) porcine embryos sampled at 2 or 5 to 6 days after fertilization; germinal vesicle (GV)-stage oocytes and electroactivated embryos were used as controls. More than 88% of the GV-stage oocytes and electroactivated embryos yielded a single 520 bp single band and about 50% of the IVP embryos tested produced both bands. Our findings show that PCR analysis of the AMEL gene is reliable for sex identification of pigs and porcine embryos.     

Application of Selection Mapping to Identify Genomic Regions Associated with Dairy Production in Sheep

In Europe, especially in Mediterranean areas, the sheep has been traditionally exploited as a dual purpose species, with income from both meat and milk. Modernization of husbandry methods and the establishment of breeding schemes focused on milk production have led to the development of “dairy breeds.” This study investigated selective sweeps specifically related to dairy production in sheep by searching for regions commonly identified in different European dairy breeds. With this aim, genotypes from 44,545 SNP markers covering the sheep autosomes were analysed in both European dairy and non-dairy sheep breeds using two approaches: (i) identification of genomic regions showing extreme genetic differentiation between each dairy breed and a closely related non-dairy breed, and (ii) identification of regions with reduced variation (heterozygosity) in the dairy breeds using two methods. Regions detected in at least two breeds (breed pairs) by the two approaches (genetic differentiation and at least one of the heterozygosity-based analyses) were labeled as core candidate convergence regions and further investigated for candidate genes. Following this approach six regions were detected. For some of them, strong candidate genes have been proposed (e.g. ABCG2, SPP1), whereas some other genes designated as candidates based on their association with sheep and cattle dairy traits (e.g. LALBA, DGAT1A) were not associated with a detectable sweep signal. Few of the identified regions were coincident with QTL previously reported in sheep, although many of them corresponded to orthologous regions in cattle where QTL for dairy traits have been identified. Due to the limited number of QTL studies reported in sheep compared with cattle, the results illustrate the potential value of selection mapping to identify genomic regions associated with dairy traits in sheep.     

Use of linked loci as individuals or haplotypes for marker-assisted breed assignment

The objective of this study was to use simulation to evaluate the benefits of considering haplotypes of loci when linked single nucleotide polymorphisms are used for breed assignment. Three breeds of 10 000 females each were simulated under eight scenarios that differed according to the number of generations separating the breeds, size of breed founder populations and recombination rate between linked loci. Molecular genotypes consisted of 20 groups of three linked loci each. Breed assignment was performed in the final generation and was based on the frequency method. Haplotypes were reconstructed using the expectation–maximization algorithm. Accuracy of breed assignment was based on the frequency of correct breed assignment. Assignment accuracy increased as more genotypes (loci or haplotypes) were considered and more animals were used to estimate genotypic frequencies within breed. For most scenarios, use of haplotypes yielded equal or greater accuracies than when loci were considered independent. The advantage of haplotypes tended to increase as linkage disequilibrium between adjacent loci increased. The greatest advantage for using haplotypes was observed when recombination rate was low (0.001), breeds were separated by few generations (100), and a relatively large number of founder animals (110) was used to form new breeds. In this situation, 90% accuracy of breed assignment was achieved using nine to 14 haplotypes (i.e. 27–42 loci) depending on breed, vs. 39–57 individual loci.     

Breed influences on in vitro development of abattoir-derived bovine oocytes

ABSTRACT: BACKGROUND: There is a discrepancy in the reproductive performance between different cattle breeds. Using abattoir-derived ovaries and data base information we studied the effects of breed on in vitro fertilization and early embryo development. METHODS: The in vitro developmental competence of oocytes from cattle (n = 202) of Swedish Red (SR), Swedish Holstein (SH) and mixed beef breeds was compared, retrospectively tracing donors of abattoir-derived ovaries using a combination of the national animal databases and abattoir information. Age was significantly lower and carcass conformation score was higher in the beef breeds than in the dairy breeds. Cumulus oocyte complexes (n = 1351) were aspirated from abattoir-derived ovaries from animals of known breed (visual inspection confirmed through databases), age (databases), and abattoir information. Oocytes were matured, fertilized (frozen semen from two dairy bulls) and cultured according to conventional protocols. On day 8, blastocysts were graded and the number of nuclei determined. RESULTS: Cleavage rate was not different between the breeds but was significantly different between bulls. The percentage of blastocysts on day 8 was significantly higher when the oocyte donor's breed was beef or SR than SH. There was no significant difference in blastocyst grades or stages between the breeds, but the number of nuclei in day 8 blastocysts was significantly lower in SH compared to the beef. CONCLUSIONS: The use of abattoir-derived ovaries from animals whose background is traceable can be a valuable tool for research. Using this approach in the present study, oocyte donor breed was seen to affect early embryo development during in vitro embryo production, which may be a contributing factor to the declining fertility in some dairy breeds seen today.     

Restriction endonuclease analysis of mitochondrial DNA of three farm animal species: Cattle, sheep and goat

Five restriction endonucleases (HindIII, BgIII, EcoRI, EcoRV and BamHI) were employed to analyse mitochondrial DNA of cattle, sheep and goat. The results showed completely different restriction patterns of mtDNA among the three bovid species. A total of 11, 16, and 17 restriction fragments in cattle, sheep and goat respectively, were detected by the five restriction endonucleases. Average total sizes of mtDNA of cattle, sheep and goat were found to be 16.49 ± 0.18, 16.30 ± 0.25 and 16.44 ± 0.08 kb, respectively. The mtDNA cleavage patterns were identical for all seven individuals belonging to two cattle breeds and for 10 individuals from one sheep breed.     

Methods to estimate effective population size using pedigree data: Examples in dog,sheep, cattle and horse

Background

Effective population sizes of 140 populations (including 60 dog breeds, 40 sheep breeds, 20 cattle breeds and 20 horse breeds) were computed using pedigree information and six different computation methods. Simple demographical information (number of breeding males and females), variance of progeny size, or evolution of identity by descent probabilities based on coancestry or inbreeding were used as well as identity by descent rate between two successive generations or individual identity by descent rate.

Results

Depending on breed and method, effective population sizes ranged from 15 to 133 056, computation method and interaction between computation method and species showing a significant effect on effective population size (P < 0.0001). On average, methods based on number of breeding males and females and variance of progeny size produced larger values (4425 and 356, respectively), than those based on identity by descent probabilities (average values between 93 and 203). Since breeding practices and genetic substructure within dog breeds increased inbreeding, methods taking into account the evolution of inbreeding produced lower effective population sizes than those taking into account evolution of coancestry. The correlation level between the simplest method (number of breeding males and females, requiring no genealogical information) and the most sophisticated one ranged from 0.44 to 0.60 according to species.

Conclusions

When choosing a method to compute effective population size, particular attention should be paid to the species and the specific genetic structure of the population studied.     

Polymorphism of cattle prolactin gene: microsatellites, PSR-RFLP]

In the samples of Russian Ayrshire and Gorbatov Red cattle breeds, distribution of frequencies of prolactin (PRL) gene alleles generated due to the presence of polymorphic RsaI site in exon 3 were studied. In the breeds, the frequencies of the B allele of the PRL gene (with RsaI(+) site) detected by the PCR-RFLP method were 14.1 and 8.6%, respectively. In Black Pied, Ayrshire and Gorbatov Red cattle breeds, variation of the microsatellite dinucleotide repeat in the regulatory region of the gene PRL was also studied. Gorbatov Red breed was monomorphic at the microsatellite locus with the only allele 164 bp in length. Two alleles (164 bp and 162 bp) were detected in the other breeds studied. The frequencies of 164-bp allele of the microsatellite locus were 93.7 and 90.0% in Black Pied and Ayrshire breeds, respectively. In Gorbatov Red breed of dairy type with good beef qualities and low milk-fat yield, lower level of heterozygosity for PRL gene was demonstrated compared to Ayrshire and Black Pied breeds with high milk-fat yield. In three cattle breeds, higher mean estimate of polymorphism information content of PCR-RFLP in exon 3 (PIC = 0.21) was revealed compared with the same estimate (PIC = 0.09) for the microsatellite locus variability in the regulatory region of the PRL gene. Characteristics of allele B distribution of the PRL gene in the representatives of the Bovidae family are considered.     

DNA variants of the MHC show location-specific convergence between sheep, goat and cattle

Interspecific convergent evolution in sheep, goat and cattle was analysed with the help of orthologous microsatellite markers. Six of the loci are located in the major histocompatibility complex (MHC) region and three on different chromosomes. Samples from at least 60 animals per autochthonous breed of the three species were collected in central and southeast Anatolia (Turkey) as well as Baden-Württemberg (Germany). Allelic diversity, heterozygosity, population differentiation and genetic distances were calculated. The loci were polymorphic in all species and breeds. Apart from MSDRB, the loci linked to the MHC were similarly polymorphic as compared to the other loci. Allele numbers in the Turkish sheep and in the cattle breeds were higher than in the other breeds. The predominant occurrence of distinct allele lengths per locus differed depending on the species. For the three geographic locations, the genetic distances between species based on the MHC loci were significantly closer in comparison with distances based on quasi-neutral loci. This indicates convergent evolution of the MHC loci between sheep, goat and cattle caused by effects of location and demonstrates an approach for quantifying influences of adaptation on genetic variability.     

Genetic Diversity and Relationship of Yunnan Native Cattle Breeds and Introduced Beef Cattle Breeds

In this study, random amplified polymorphic DNA (RAPD) analysis was used to estimate genetic diversity and relationship in 134 samples belonging to two native cattle breeds from the Yunnan province of China (DeHong cattle and DiQing cattle) and four introduced beef cattle breeds (Brahman, Simmental, MurryGrey, and ShortHorn). Ten primers were used, and a total of 84 bands were scored, of which 63 bands (75.0%) were polymorphic. The genetic distance matrix was obtained by proportions of shared fragment. The results indicate that the Yunnnan DeHong cattle breed is closely related to the Brahman (Bos indicus), and the Yunnan DiQing cattle breed is closely related to the Simmental, ShortHorn, and MurryGrey (Bos taurus) breeds. Our results imply that Bos indicus and Bos taurus were the two main origins of Yunnan native cattle. The results also provide the basic genetic materials for conservation of cattle resources and crossbreeding of beef cattle breeds in South China.     

Genetic structure of seven European cattle breeds assessed using 20 microsatellite markers

Genotype data from 20 microsatellites typed in 253 animals is used here to assess the genetic structure of seven European pedigree cattle breeds. Estimation of genetic subdivision using classical drift-based measures shows that the average proportion of genetic variation among breeds varies between 10 and 11% of the total, depending on the estimator used. We demonstrate that a simple allele-sharing genetic distance parameter can be used to construct a dendrogram of relationships among animals. This phylogenetic tree displays a remarkable degree of breed clustering and reflects an extensive underlying kinship structure, particularly for the Swiss Simmental breed and four breeds originating from the British Isles. Condensation of allele frequencies and individual genotypic compositions using principal component analysis is also used to investigate genetic structure among breeds and individual animals. In addition, the underlying genetic demarcation of European cattle breeds is emphasized in simulations of breed assignment using allele frequency distributions from samples of microsatellite loci. Correct breed designation can be inferred with accuracies approaching 100% using data from a panel of 10 microsatellite loci.     

Effective population sizes in cattle,sheep, horses,pigs and goats estimated from census and herdbook data

Accurate measures of effective population sizes (N_e) in livestock require good quality data and specialized skills for their computation and analysis. N_e can be estimated by Wright’s equation N_e=4MF/(M+ F) (M, F being sires and dams, respectively), but this requires assumptions which are often not met. Total census sizes N_c of livestock breeds are collated globally. This paper investigates whether estimates of N_e can be made from N_c; this would facilitate conservation monitoring. Some N_e methodologies avoid the assumptions of Wright’s equation and permit measurement, rather than estimation, of N_e. Those considered here employ, respectively, linkage disequilibrium (LD) of single-nucleotide polymorphisms (yielding N_e(LD)), and genealogical analysis (rate of increase of inbreeding, DF), yielding N_e(DF). Considering breeds of cattle, sheep, horses, pigs and goats for which N_c and either N_e(LD) or N_e(DF) are known (totals of 203 breeds and 321 breeds, respectively), proportionality has been investigated between N_c and these measures of N_e. N_e(LD) was found to increase with N_c, significantly in sheep and horses, less so in cattle, but not at all in pigs. N_e(DF) was correlated with log₁₀(N_c) in cattle, sheep and horses (53, 56, 43 breeds, respectively). N_e(LD) was correlated in cattle (73 breeds) and pigs (31 breeds) with the log₁₀ transformation of N_e as calculated by Wright’s equation. Further verification and refinement are needed, particularly of census data, but credible predictions of N_e are obtainable by applying the following multipliers to log₁₀(N_c): cattle 17.61, sheep 97.72, horse 70.78. For cattle and pigs, multiplying log₁₀(N_e(Wright)) by, respectively, 40.69 and 60.09, also gives credible predictions. Such census-based estimates of N_e could in principle be generated by non-specialists and are likely to be suited to audits of conservation activity when financial resources or availability of data are limiting. The ratio N_e/N_c varied among species with an overall median value of 0.03, less than a tenth of that typically observed in wild mammals. Characteristics were also investigated of a distinct herdbook-based methodology, namely the development of Wright’s equation to take into account variances of progeny numbers to yield what has been termed here N_e (Hill). Comparison of these values with N_e (Wright) could help to identify breeds with breeding structures conducive or inimical to genetic conservation. However, N_e(Hill) requires breed-specific values for these variances, and this restricts its applicability.     

The relationship between the S system of blood groups and potassium levels in red blood cells of cattle

Red cell potassium concentrations were determined in 5 breeds of cattle. Most cattle had red cells with less than 50 mmol K/litre and although a few Hereford and Friesian cows had levels approaching 70 mmol K/litre, it was only in the Jersey breed that values above this were found. Attempts were made to correlate potassium levels with serological specificity using cattle S system and sheep M system blood typing reagents. Red cells negative for cattle factors S, H', and S were never positive for sheep L; cells positive for H' were usually positive for M, and those positive for S were always positive for L. No obvious relationship was found between potassium levels and serological type, although some consistent trends were noted in Friesians and Herefords. Limited family data indicated that a major difference in potassium levels of red cells in cattle may be controlled by two codomi-nant alleles.     

The anterior tooth development of cattle presented for slaughter: an analysis of age,sex and breed

In a cross-sectional study, data from records of cattle slaughtered over a 1-year period at a large abattoir in South West England were analysed using an ordered category response model to investigate the inter-relationships between age, sex and breed on development of the permanent anterior (PA) teeth. Using the model, transition points at which there was a 50% probability of membership of each category of paired PA teeth were identified. Data from ∼60 000 animals were initially analysed for age and sex effect. The age transition was found to be ∼23 months moving from zero to two teeth; 30 months for two to four teeth; 37 months for four to six teeth and 42 months for six to eight teeth. Males were found to develop, on average, ∼22 days earlier than females across all stages. A reduced data set of ∼23 000 animals registered as pure-bred only was used to compare breed and type interactions and to investigate sex effects within the sub-categories. Breeds were grouped into dairy and beef-type and beef breeds split into native and continental. It was found that dairy-types moved through the transition points earlier than beef-types across all stages (interval varying between ∼8 and 12 weeks) and that collectively, native beef breeds moved through the transition points by up to 3 weeks earlier than the continental beef breeds. Interestingly, in contrast to beef animals, dairy females matured before dairy males. However, the magnitude of the difference between dairy females and males diminished at the later stages of development. Differences were found between breeds. Across the first three stages, Ayrshires and Guernseys developed between 3 and 6 weeks later than Friesian/Holsteins and Simmental, Limousin and Blonde Aquitaine 6 and 8 weeks later than Aberdeen Angus. Herefords, Charolais and South Devon developed later but by a smaller interval and Red Devon and Galloway showed the largest individual effect with transition delayed by 8 to 12 weeks.     

Immunogenetic and population genetic analyses of Iberian cattle

Blood samples were collected from more than 100 animals in each of 2 Spanish cattle breeds (Retinto and De Lidia), 2 Portuguese breeds (Alentejana and Mertolenga), and American Longhorn cattle. All samples for the 4 Iberian breeds were tested for 20 polymorphic systems; American Longhorn were tested for 19 of the 20. For each breed an average inbreeding coefficient was estimated by a comparison of the observed and expected heterozygosity at 7 or 8 codominant systems tested. All breeds had positive values but only 3 breeds had estimates of inbreeding that were statistically significantly different from 0: De Lidia with = 0.17, Retinto with = 0.08 and Mertolenga with f = 0.05. The De Lidia breed especially may be suffering from inbreeding depression since this high value is greater than expected if all of the animals were progeny of half-sib matings. Genetic distances were calculated from the gene frequency data on these 5 breeds plus 9 other European breeds. Analyses of these distances show a closely related group of the 4 Iberian breeds and American Longhorn, confirming the close relationships among the Iberian breeds and the Iberian, probably Portuguese, origin of American Longhorn cattle.     

A whole genome scan for differences in recombination rates among three Bos taurus breeds

Twenty paternal half-sib families of a granddaughter design were genotyped for 265 genetic markers, most of them microsatellites. These were 16 Holstein families, 3 Simmental families, and 1 Brown Swiss family. The number of sires per breed was 872, 170, and 32, respectively. Two-point recombination rates were estimated both jointly for all breeds and each single breed separately. Of 1168 marker intervals, 865 provided estimates for at least two breeds. Differences between breeds were tested by likelihood ratio tests. Four marker intervals, representing three genomic regions on BTA19, BTA24, and BTA27, show a significant impact of the breed at a false discovery rate of 0.23 and indicate a genetic component of observed heterogeneity of recombination. The variability of recombination rates between cattle breeds might not be a common feature of the whole genome, but rather might be restricted to certain chromosomal segments. Thus, attention should be paid to heterogeneities when pooling data of such regions from different breeds. Received: 14 March 2001 / Accepted: 8 May 2001     

Genetic structure and admixture in sheep from terminal breeds in the United States

Selection for performance in diverse production settings has resulted in variation across sheep breeds worldwide. Although sheep are an important species to the United States, the current genetic relationship among many terminal sire breeds is not well characterized. Suffolk, Hampshire, Shropshire and Oxford (terminal) and Rambouillet (dual purpose) sheep (n = 248) sampled from different flocks were genotyped using the Applied Biosystems Axiom Ovine Genotyping Array (50K), and additional Shropshire sheep (n = 26) using the Illumina Ovine SNP50 BeadChip. Relationships were investigated by calculating observed heterozygosity, inbreeding coefficients, eigenvalues, pairwise Wright’s F_ST estimates and an identity by state matrix. The mean observed heterozygosity for each breed ranged from 0.30 to 0.35 and was consistent with data reported in other US and Australian sheep. Suffolk from two different regions of the United States (Midwest and West) clustered separately in eigenvalue plots and the rectangular cladogram. Further, divergence was detected between Suffolk from different regions with Wright’s F_ST estimate. Shropshire animals showed the greatest divergence from other terminal breeds in this study. Admixture between breeds was examined using admixture , and based on cross-validation estimates, the best fit number of populations (clusters) was K = 6. The greatest admixture was observed within Hampshire, Suffolk, and Shropshire breeds. When plotting eigenvalues, US terminal breeds clustered separately in comparison with sheep from other locations of the world. Understanding the genetic relationships between terminal sire breeds in sheep will inform us about the potential applicability of markers derived in one breed to other breeds based on relatedness.     

Genetic diversity and population structure of 20 North European cattle breeds

Blood samples were collected from 743 animals from 15 indigenous, 2 old imported, and 3 commercial North European cattle breeds. The samples were analyzed for 11 erythrocyte antigen systems, 8 proteins, and 10 microsatellites, and used to assess inter- and intrabreed genetic variation and genetic population structures. The microsatellites BoLA-DRBP1 and CSSM66 were nonneutral markers according to the Ewens-Watterson test, suggesting some kind of selection imposed on these loci. North European cattle breeds displayed generally similar levels of multilocus heterozygosity and allelic diversity. However, allelic diversity has been reduced in several breeds, which was explained by limited effective population sizes over the course of man-directed breed development and demographic bottlenecks of indigenous breeds. A tree showing genetic relationships between breeds was constructed from a matrix of random drift-based genetic distance estimates. The breeds were classified on the basis of the tree topology into four major breed groups, defined as Northern indigenous breeds, Southern breeds, Ayrshire and Friesian breeds, and Jersey. Grouping of Nordic breeds was supported by documented breed history and geographical divisions of native breeding regions of indigenous cattle. Divergence estimates between Icelandic cattle and indigenous breeds suggested a separation time of more than 1,000 years between Icelandic cattle and Norwegian native breeds, a finding consistent with historical evidence.     

Comparing genomic prediction accuracy from purebred,crossbred and combined purebred and crossbred reference populations in sheep

Background

The accuracy of genomic prediction depends largely on the number of animals with phenotypes and genotypes. In some industries, such as sheep and beef cattle, data are often available from a mixture of breeds, multiple strains within a breed or from crossbred animals. The objective of this study was to compare the accuracy of genomic prediction for several economically important traits in sheep when using data from purebreds, crossbreds or a combination of those in a reference population.

Methods

The reference populations were purebred Merinos, crossbreds of Border Leicester (BL), Poll Dorset (PD) or White Suffolk (WS) with Merinos and combinations of purebred and crossbred animals. Genomic breeding values (GBV) were calculated based on genomic best linear unbiased prediction (GBLUP), using a genomic relationship matrix calculated based on 48 599 Ovine SNP (single nucleotide polymorphisms) genotypes. The accuracy of GBV was assessed in a group of purebred industry sires based on the correlation coefficient between GBV and accurate estimated breeding values based on progeny records.

Results

The accuracy of GBV for Merino sires increased with a larger purebred Merino reference population, but decreased when a large purebred Merino reference population was augmented with records from crossbred animals. The GBV accuracy for BL, PD and WS breeds based on crossbred data was the same or tended to decrease when more purebred Merinos were added to the crossbred reference population. The prediction accuracy for a particular breed was close to zero when the reference population did not contain any haplotypes of the target breed, except for some low accuracies that were obtained when predicting PD from WS and vice versa.

Conclusions

This study demonstrates that crossbred animals can be used for genomic prediction of purebred animals using 50 k SNP marker density and GBLUP, but crossbred data provided lower accuracy than purebred data. Including data from distant breeds in a reference population had a neutral to slightly negative effect on the accuracy of genomic prediction. Accounting for differences in marker allele frequencies between breeds had only a small effect on the accuracy of genomic prediction from crossbred or combined crossbred and purebred reference populations.     

Are cattle,sheep, and goats endangered species?

For about 10 000 years, farmers have been managing cattle, sheep, and goats in a sustainable way, leading to animals that are well adapted to the local conditions. About 200 years ago, the situation started to change dramatically, with the rise of the concept of breed. All animals from the same breed began to be selected for the same phenotypic characteristics, and reproduction among breeds was seriously reduced. This corresponded to a strong fragmentation of the initial populations. A few decades ago, the selection pressures were increased again in order to further improve productivity, without enough emphasis on the preservation of the overall genetic diversity. The efficiency of modern selection methods successfully increased the production, but with a dramatic loss of genetic variability. Many industrial breeds now suffer from inbreeding, with effective population sizes falling below 50. With the development of these industrial breeds came economic pressure on farmers to abandon their traditional breeds, and many of these have recently become extinct as a result. This means that genetic resources in cattle, sheep, and goats are highly endangered, particularly in developed countries. It is therefore important to take measures that promote a sustainable management of these genetic resources; first, by in situ preservation of endangered breeds; second, by using selection programmes to restore the genetic diversity of industrial breeds; and finally, by protecting the wild relatives that might provide useful genetic resources.