Search

The objective of this study was to evaluate the pattern of linkage disequilibrium along the genome in seven autochthonous Spanish cattle beef populations (Asturiana de los Valles, Avileña Negra-Ibérica, Bruna dels Pirineus, Morucha, Pirenaica, Retinta and Rubia Gallega). The BovineHD BeadChip was used to genotype 171 trios of individual/sire/dam. 573,134 SNPs were available after filtering. With this information, a parameter that measures the mean disequilibrium of the genome in regions of 1 Mb in each population was defined. The results show that the linkage disequilibrium is very heterogeneous along the genome, and this heterogeneity is consistent among the considered populations. The causes of this heterogeneity could be structural, and attributed to a lower mutation rate and/or recombination rate, or a result of stabilizing selection. © 2017, Universidad de Cordoba,Servicio de Publicaciones. All rights reserved.

Linkage disequilibrium (LD) and persistence of phase are fundamental approaches for exploring the genetic basis of economically important traits in cattle, including the identification of QTL for genomic selection and the estimation of effective population size (Ne) to determine the size of the training populations. In this study, we have used the Illumina BovineHD chip in 168 trios of 7 Spanish beef cattle breeds to obtain an overview of the magnitude of LD and the persistence of LD phase through the physical distance between markers. Also, we estimated the time of divergence based on the persistence of the LD phase and calculated past Ne from LD estimates using different alternatives to define the recombination rate. Estimates of average r2 (as a measure of LD) for adjacent markers were close to 0.52 in the 7 breeds and decreased with the distance between markers, although in long distances, some LD still remained (0.07 and 0.05 for markers 200 kb and 1 Mb apart, respectively). A panel with a lower boundary of 38,000 SNP would be necessary to launch a successful within-breed genomic selection program. Persistence of phase, measured as the pairwise correlations between estimates of r in 2 breeds at short distances (10 kb), was in the 0.89 to 0.94 range and decreased from 0.33 to 0.52 to a range of 0.01 to 0.08 when marker distance increased from 200 kb to 1 Mb, respectively. The magnitude of the persistence of phase between the Spanish beef breeds was similar to those found in dairy breeds. For across-breed genomic selection, the size of the SNP panels must be in the range of 50,000 to 83,000 SNP. Estimates of past Ne showed values ranging from 26 to 31 for 1 generation ago in all breeds. The divergence among breeds occurred between 129 and 207 generations ago. The results of this study are relevant for the future implementation of within- and across-breed genomic selection programs in the Spanish beef cattle populations. Our results suggest that a reduced subset of the SNP panel would be enough to achieve an adequate precision of the genomic predictions. © 2016 American Society of Animal Science. All rights reserved.

The availability of SNP chips for massive genotyping has proven to be useful to genetically characterize populations of domestic cattle and to assess their degree of divergence. In this study, the Illumina BovineHD BeadChip genotyping array was used to describe the genetic variability and divergence among 7 important autochthonous Spanish beef cattle breeds. The within-breed genetic diversity, measured as the marker expected heterozygosity, was around 0.30, similar to other European cattle breeds. The analysis of molecular variance revealed that 94.22% of the total variance was explained by differences within individuals whereas only 4.46% was the result of differences among populations. The degree of genetic differentiation was small to moderate as the pairwise fixation index of genetic differentiation among breeds (FST) estimates ranged from 0.026 to 0.068 and the Nei᾿s D genetic distances ranged from 0.009 to 0.016. A neighbor joining (N-J) phylogenetic tree showed 2 main groups of breeds Pirenaica, Bruna dels Pirineus, and Rubia Gallega on the one hand and Avile�a-Negra Ib�rica, Morucha, and Retinta on the other. In turn, Asturiana de los Valles occupied an independent and intermediate position. A principal component analysis (PCA) applied to a distance matrix based on marker identity by state, in which the first 2 axes explained up to 17.3% of the variance, showed a grouping of animals that was similar to the one observed in the N-J tree. Finally, a cluster analysis for ancestries allowed assigning all the individuals to the breed they belong to, although it revealed some degree of admixture among breeds. Our results indicate large within-breed diversity and a low degree of divergence among the autochthonous Spanish beef cattle breeds studied. Both N-J and PCA groupings fit quite well to the ancestral trunks from which the Spanish beef cattle breeds were supposed to derive. � 2015 American Society of Animal Science. All rights reserved.

Demographic and pedigree analyses describe the structure and dynamics of livestock populations. We studied information recorded in the herdbooks of Asturiana de los Valles (AV; N = 458,806), Avileña–Negra Ibérica (ANI; N = 204,623), Bruna dels Pirineus (BP; N = 62,138), Morucha (Mo; N = 65,350), Pirenaica (Pi; N = 217,428), Retinta (Re; N = 135,300), and Rubia Gallega (RG; N = 235,511) beef breeds from their creation until 2009. All breeds have increased in the number of registered cows in recent years. In all breeds, herds do not behave as isolated entities and a high rate of exchange of breeding males between herds exists. A percentage of herds (12–52%) make some type of selection and sell bulls to other herds. There were large differences in average number of progeny per bull, ranging from 15.6 (AV) to 373.7 animals (RG, with a high incidence of AI). Generation interval estimates ranged from 4.7 (AV) to 7.6 (RG) yr in the sire pathway and from 5.95 (AV) to 7.8 (Mo) yr in the dam pathway. Density of pedigrees varied among breeds, with Pi, ANI, and Re having the more dense pedigrees, with average completeness indexes of more than 96% in the first generation and 80% when 6 generations were considered. A general increase in average inbreeding was observed in all breeds in the years analyzed. For animals born in 2009, average inbreeding coefficients ranged from 0.6 (BP) to 7.2% (Re) when all animals were considered and from 3.6 (Pi) to 17.6% (BP) when only inbred animals were considered. Due to the lack of completeness of pedigrees in most populations, inbreeding coefficients may be considered as a lower bound of the true parameters. The proportion of inbred animals tended to increase in the periods analyzed in all breeds. Differences between inbreeding and coancestry rates (except in RG) suggest the presence of population structure. Effective population size (Ne) based on the inbreeding rate estimated by regression ranged from 43 to 378 for Re and BP, whereas Ne estimates based on coancestry were greater, with a range of 100 for RG to 9,985 for BP. These facts suggest that an adequate mating policy can help to monitor inbreeding so as not to lose genetic variability. Effective number of ancestors in 2009 for 6 of the breeds ranged from 42 (RG) to 220 (AV), with BP having much a greater value, and was lower than was the effective number of founders in all breeds, suggesting the existence of bottlenecks. © 2014 American Society of Animal Science. All rights reserved.

[EN] Although heteroskedasticity has been a main topic of interest in beef cattle during recent decades, the current availability of canalization models provided new insights for animal breeding programs. Within this context, birth BW (BWT) was analyzed in the Bruna dels Pirineus beef cattle breed by implementing canalization models that accounted for heterogeneous residual variances due to 30systematic, permanent environmental effects and additive genetic effects. Analyses were performed on BWT data from 8,130 calves born in 12 commercial breeding herds contributing to the yield recording scheme of the Bruna dels Pirineus breed. Analytical models accounted for direct additive genetic, permanent environmental, and 4 systematic effects (i.e., age of the dam, sex of the calf, birth type, and herd-year-season), and the same effects were evaluated as potential sources of variation in the residual term. Their relevance was checked by the deviance information criterion (DIC), and only residual additive genetic, permanent environmental, birth type, and herd-year-season remained in the operational model, all of them originating relevant reductions in the DIC parameter. Bruna dels Pirineus calves showed a moderate heritability of 0.30 (95% high posterior density, 0.19 to 0.40) for BWT; additional additive genetic variability was revealed in the residual term, this being positively correlated with the direct additive genetic component (0.44; 95% high posterior density, 0.37 to 0.54). Genetic trends were evaluated on both sources of additive genetic variance, and relevant patterns were identified in several herds. Although this breed did not evidence a homogeneous genetic trend for the whole population, herd- specific positive and negative trends were revealed, suggesting the plausibility of genetic selection for canalization on BWT in beef cattle breeds. These results must be viewed as a contribution to the canalization research field, providing relevant information for the breeding scheme of the Bruna dels Pirineus breed, as well as important insights about the genetic background of BWT for the beef industry worldwide., Research was supported by a contract with the Departament d Agricultura, Ramaderia, Pesca, Alimentació i Medi Rural of the Generalitat de Catalunya (Barcelona, Spain). The authors are indebted to the Federació Catalana de la Raça Bruna dels Pirineus (Berga, Spain; http://www.brunadelspirineus.org) and its associates for providing field data for these analyses. The research contract of J. Casellas was partially funded by the Ministerio de Ciencia e Innovación (Madrid, Spain) of the Spanish government (reference RYC-2009-04049).

En este trabajo se analiza la variabilidad genética de la raza autóctona en peligro de extinción Serrana de Teruel, así como su relación con las razas bovinas explotadas en España: Albera, Pajuna, Avileña-Negra Ibérica, Serrana Negra, Pirenaica y Parda de Montaña. La caracterización genética se ha realizado mediante marcadores microsatélites, todos han resultado polimórficos detectándose un total de 198 alelos con una media de 6,79 alelos por locus. Las heterocigosidades observadas y esperadas fueron altas y similares en el equilibrio, con valores de 0,67 y 0,68 respectivamente. A partir del estudio de las relaciones filogenéticas se ha podido observar la cercanía de la raza Serrana de Teruel con las razas de montaña Pirenaica y Parda de Montaña. Mediante el estudio de la estructura genética se observó que el porcentaje de animales correctamente asignados a la Serrana de Teruel para q>0,8 fue del 47,5%, apreciándose una clara influencia de la raza Parda de Montaña en los individuos mezclados. In this work we analyze by microsatellite markers the genetic diversity, structure and relationships of the indigenous endangered Serrana de Teruel cattle breed with different breeds reared in Spain. All loci were polymorphic and a total of 198 alleles were observed across loci, with a mean of 6.79. Observed and expected heterozygosities values shown the high variability of Serrana de Teruel breed with values of 0.67 and 0.68 respectively. The neighbour net based on Reynolds distances shown the close genetic relationship among Serrana de Teruel and the mountain Parda de Montaña and Pirenaica breeds. STRUCTURE results showed a 47.5% of correctly assigned individuals to Serrana de Teruel breed using a q>0.8 threshold. The admixed animals shown a clear influence of Parda de Montaña breed.

Comunicaciones a congresos

Chantier qualité GA Liste des auteurs de l'European Cattle Genetic Consortium, classés par pays : Austria: R. Baumung, S. Manatrinon, BOKU University, Vienna; Belgium: G. Mommens, University of Ghent, Merelbeke; Denmark: L.-E. Holm, Aarhus University, Tjele; K.B. Withen, B.V. Pedersen, P. Gravlund, University of Copenhagen, Copenhagen; Estonia: H. Viinalass, Estonian University of Life Sciences, Tartu; Finland: J. Kantanen, I. Tapio, M.H. Li, MTT, Jokioinen; France: K. Moazami-Goudarzi, M. Gautier, Denis Laloë, INRA, Jouy-en-Josas; A. Oulmouden, H. Levéziel, INRA, Limoges; P. Taberlet, Université Joseph Fourier et CNRS, Grenoble; Germany: B. Harlizius, School of Veterinary Medicine, Hannover; H. Simianer, H. Täubert, Georg-August-Universität, Göttingen; G. Erhardt, O. Jann, C. Weimann, E.-M. Prinzenberg, Justus-Liebig Universität, Giessen; I. Medugorac, A. Medugorac, M. Förster, Ludwig-Maximilians Universität, Munich; H.M. Mix, Naturschutz International, Grünheide; C. Looft, E. Kalm, Christian-Albrechts-Universität, Kiel; Ireland: D.G. Bradley, C.J. Edwards, D.E. MacHugh, A.R. Freeman, Trinity College, Dublin; Italy: P. Ajmone Marsan, R. Negrini, Università Cattolica del S. Cuore, Piacenza; M. Longeri, G. Ceriotti, M. Zanotti, Università degli Studi di Milano; D. Marletta, A. Criscione, Universita degli Studi di Catania, Catania; A. Valentini, C. Marchitelli, L. Pariset, M.C. Savarese, Università della Tuscia, Viterbo; F. Pilla, Università del Molise, Campobasso; Latvia: Z. Grislis, Latvia University of Agriculture, Jelgava; Lithuania: I. Miceikienė, Lithuanian Veterinary Academy, Kaunas; Netherlands: I.J. Nijman, Utrecht University; W. van Haeringen, L. van de Goor, Van Haeringen Laboratory, Wageningen; Norway: I. Olsaker, Norwegian School of Veterinary Science, Oslo; Portugal: C. Ginja, L.T.Gama, Instituto Nacional de Recursos Biológicos—INIA, Lisbon University, Lisboa; L.T. Gama, Instituto Nacional de Recursos Biológicos-INIA, I.P., Vale de Santarem; J.C. Mateus, Universidade de Trás-os-Montes e Alto Douro, Vila Real; A. Beja-Pereira, N. Ferrand, Oporto University; Russia: Z. Ivanova, R. Popov, I. Ammosov, Yakutian Research Institute of Agricultural Sciences, Yakutsk, Sakha; T. Kiselyova, All-Russian Research Institute for Farm Animals and Breeding, St. Petersburgh-Pushkin; N. Marzanov, All-Russian Research Institute of Animal Husbandry, Dubrovitsy; Serbia: S. Stojanovic, Ministry of Agriculture and Water Management, Belgrade; Slovenia: M. Simčič, P. Dovč, D.Kompan, University of Ljubljana, Domzale; Spain: S. Dunner, Universidad Complutense de Madrid; C. Rodellar, I. Martín-Burriel, Veterinary Faculty, Zaragoza; A. Sánchez, J. Piedrafita, Universitat Autònoma de Barcelona; P.J. Azor, J.V. Delgado, A. Martínez-Martínez, A. Molina, E. Rodero, University of Córdoba; Switzerland: G. Dolf, University of Berne; UK: J.L. Williams, P. Wiener, Roslin Institute; M.W. Bruford, T.C. Bray, Cardiff University, Cardiff; L. Alderson, Countrywide Livestock Ltd, Shrewsbury; USA: M.C.T. Penedo. University of California, Davis, CA; International audience; Classification of cattle breeds contributes to our understanding of the history of cattle and is essential for an effective conservation of genetic diversity. Here we review the various classifications over the last two centuries and compare the most recent classifications with genetic data. The classifications devised during the 19th to the late 20th century were in line with the Linnaean taxonomy and emphasized cranial or horn morphology. Subsequent classifications were based on coat color, geographic origin or molecular markers. Several theories were developed that linked breed characteristics either to a supposed ancestral aurochs subspecies or to a presumed ethnic origin. Most of the older classifications have now been discarded, but have introduced several Latin terms that are still in use. The most consistent classification was proposed in 1995 by Felius and emphasizes the geographic origin of breeds. This is largely in agreement with the breed clusters indicated by a biochemical and molecular genetic analysis, which reflect either groups of breeds with a common geographic origin or single breeds that have expanded by export and/or crossbreeding. We propose that this information is also relevant for managing the genetic diversity of cattle.

The Bayes factor (BF) procedure was applied to examine the additive genetic component of several physiological and vitality variables for newborn pigs. Nine variables were studied heart rate, arterial oxygen saturation, rectal temperature (all at birth and 60 min later), birth weight, interval between birth and first teats contact, and interval between birth and first colostrum intake. The available numbers of data ranged from 288 (heart rate at 60 min) to 839 records (birth weight) from F2 Iberian x Meishan newborn pigs. We compared a model with zero heritability (nonheritable) with the one where the additive genetic background was included. The BF was used to discriminate between both candidate models. Very strong evidence of genetic background was detected for heart rate 60 min after birth (BF = 48.90), and strong evidence was detected for rectal temperature at birth (BF = 13.82). Posterior modes (means) of heritabilities were 0.29 (0.32) and 0.40 (0.39), respectively. In addition, substantial evidence of absence of genetic background was detected for arterial oxygen saturation at birth. ©2005 American Society of Animal Science. All rights reserved.

Resumen de la comunicación presentada al III Congreso Ibérico sobre Recursos Genéticos Animales

Resumen de la comunicación presentada al III Congreso Ibérico sobre Recursos Genéticos Animales

The EU is the second largest world producer of beef meat, but production is fragmented, consisting of highly variable local systems, compared with homogenous, highly intensive feedlot systems. The current EU agricultural policy requires a reorientation of beef market to take advantage of this diversity by creating meat quality labels relating to geographical areas and with specific genotype and production systems, symbols of guaranteed quality. The aim of this experiment was to analyse the relationships between productive and carcass parameters with some meat quality traits, within breed-production systems in different European countries.