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Gonzlez A.,University of Cordoba, Spain | Luque M.,Spanish Federation of Livestock Purebred Associations FEAGAS | Herrera M.,University of Cordoba, Spain | Gonzlez C.,University of Cordoba, Spain | And 2 more authors.
Archiv Tierzucht | Year: 2014

The aim of this study was to determine whether the classification of local Spanish breeds of dogs, based on morphological traits, matches or differs from the classification based on the dogs' breeding goals. A total of 15 biometric measurements and 10 functional indices were obtained in 1 365 dogs (709 females and 656 males). The dogs we measured belonged to 16 different breeds, 14 of which were officially recognized by the Spanish Royal Canine Society. Similar average values of morphometric traits and indices (P<0.001) were obtained in both sexes: the Ratonero Bodeguero Andaluz was the breed with the smallest format and the Pyrenean and Spanish Mastiff, the largest. In the case of the Fédération Cynologique Internationale (FCI) groups, significant differences (P<0.001) for morphometric traits were found, and in both sexes, the third group was the one with the smallest format and the second group, the largest. The differences obtained were more marked between all groups than within groups, and the morphological characteristics were similar, in accordance with the purpose for which the breeds were bred. Therefore, the existence of a morphologic pattern is accepted both in the breeds and the functional groups. Two as yet officially unrecognized breeds, the Orito and Paternino Hound, must be included in the fifth and the first FCI groups, respectively. When the Orito Hound is recognized, it will be added to the fifth FCI group and the word hound will be deleted from the name Paternino breed. © 2014 by the authors.

Rodero E.,University of Cordoba, Spain | Gonzalez A.,University of Cordoba, Spain | Dorado-Moreno M.,University of Cordoba, Spain | Luque M.,Spanish Federation of Livestock Purebred Associations FEAGAS | Hervas C.,University of Cordoba, Spain
Livestock Science | Year: 2015

The aim of this study was to provide effective solutions for the nominal classification of twelve Spanish goat breeds using nine morphological traits and considering their aptitude (meat, dual purpose and milk). Different statistical and artificial intelligence algorithms were used to compare our hierarchical methodology with a representative of each Machine-Learning typology and several common statistical methods. The most appropriate tool to solve problems of classification, by considering the aptitude, would be the k-Nearest Neighbours used in a hierarchical model. For the first level of this hierarchy, the study was conducted using a 1-Nearest Neighbour classification of individuals by aptitude, and on the second level, the breeds were analysed again using three new 1-Nearest Neighbour classifiers, one for each aptitude. The results obtained improved the accuracy rates for assigning individuals to breed, compared with those usually employed using Linear Discriminant Analysis methodologies. Only 78% correct classification rate (Minimum Sensitivity=19%) was obtain with the Linear Discriminant Analysis, but this result increased to 89.18% with a 1-Nearest Neighbour+1-Nearest Neighbour (1NN+1NN). Hierarchical methodology, thus increasing the classification rate (Minimum Sensitivity=37.08%). Furthermore, the percentage of correct classification was 83.48% (Minimum Sensitivity=35.08%) with 1-Nearest Neighbour+Multi-Layer Perceptron, that justifies the use of hierarchical models. The new second level model (1NN+1NN) permit 100% of goats successful classified in Pirenaica, Retinta and Malagueña breeds, each of these belongs to a different aptitude. The improve of classification obtained of the majority of the breeds with the application of the hierarchical method, suggested that defining firstly the aptitude class, the unique and distinctive characteristics of the breed are identified more clearly. © 2015 Elsevier B.V.

Rodero E.,University of Cordoba, Spain | Gonzalez A.,University of Cordoba, Spain | Aviles C.,University of Cordoba, Spain | Luque M.,Spanish Federation of Livestock Purebred Associations FEAGAS
Animal Biotechnology | Year: 2013

The aim was to analyze the allelic and genotypic frequencies for two genes associated with tenderness of meat (CAPN1 and CAST) and one with fat deposits (DGAT1) in three endangered Spanish cattle breeds: Berrenda en Colorado (BC), Berrenda en Negro (BN), and Cardena Andaluza (CA) to utility of their involvement in the selection of them and to help the adoption of conservation measurement. Seventy-five males and 298 females of those breeds were genotyped. Genotypic and allelic frequencies for each polymorphic locus were estimated. There were significant differences in the genotypic frequencies among breeds in CAPN1 and DGTA1 genes and in the case of the genic frequencies in CAPN1, CAST, and DGAT1 genes. The three breeds analyzed (BC, BN, and CA) presented high allelic frequencies for the favorable allele of the three markers (from 0.41 to 0.75). The association between the favorable allele and meat quality must be confirmed. In cases of association with differences in quality meat, the absence of differences in the genotypic and genic frequency distributions between the sexes is advantageous in mating planning because it implies that there is no handicap to be overcome for the conservation program and it would allow the use of sires to promote the increase in improvements within a short period of time. Copyright © Taylor and Francis Group, LLC.

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