Use of multivariate analysis to evaluate genetic groups of pigs for dry-cured ham production

Abstract

a b s t r a c tRecords of a pig population used for dry-cured ham production were used to evaluate genetic groups by multivariate analysis. The investigated genetic groups were as follows: DULL¼Duroc  (Landrace  Large White), DULA¼ Duroc  Landrace, DUWI¼ Duroc  Large White, WIWI¼ Large White and DUDU¼ Duroc. Two groups were obtained for the carcass traits hot carcass weight (HCW), backfat thickness (BT) and loin depth (LD), with the groups including 597 and 341 animals harvested at 130 kg and at 160 kg weights, respectively. Two groups were also found for ham traits gross ham weight (GHW), trimmed ham weight (THW), ham inner layer fat thickness (HIFT), ham outer layer fat thickness (HOFT), pH (PH), and Göfo value, with 393 and 91 animals harvested at 130 kg and 160 kg weights, respectively. The analysis was performed within each group of traits and harvest weights, and the animals without records were excluded. The first and the second canonical variables explained 97.5% and 93.6% of the total variation for the carcass traits at 130 kg and 160 kg, respectively, and 88.8% of ham traits at 130 kg. In the dispersion graph concerning the canonical means, a significant distance was observed between the genetic groups DUDU and WIWI for the carcass traits at 130 kg and 160 kg and the ham traits at 130 kg. The 50% Duroc animals exhibited little dispersion regarding the carcass traits at 130 kg and 160 kg and were not divergent from the DUDU genetic group for the ham traits at 130 kg. In a cluster analysis using the single linkage method, DULL, DULA and DUWI were grouped with a high similarity level for the carcass traits at 130 kg and 160 kg and ham traits at 130 kg. Using the Tocher optimization method, 50% Duroc crossbred and 100% Duroc purebred animals were grouped for the ham traits at 130 kg, suggesting that for ham traits, 50% Duroc animals were similar to 100% Duroc purebred animals. In this context, the genetic groups Duroc  Large White, Duroc  Landrace and Duroc  (Landrace  Large White) are recommended for use in producing dry-cured ham.

Genetic divergence between genotypes for male and female broilers

“…Female Cobb 500, Hubbard Flex, and Ross 308 groups were gathered altogether, and male Cobb 500, Hubbard Flex, and Ross 308 groups were as well, supporting the hypothesis that, regardless of genotype, sex influences the performance and carcass of broilers. Other cluster analysis studies between genotypes were conducted by YAMAKI et al (2008), with broiler matrices; PIRES et al (2002), with leghorn poultry;and VENTURA et al (2012) with a swine sample.…”

“…For cluster analysis, it was used Tocher method, adopting Mahalanobis distance as the dispersion measure, as mentioned by RAO (1952). Several authors have used these tests to study genetic divergence (VIANA et al, 2000;CARNEIRO et al, 2002;PIRES et al, 2002;VENTURA et al, 2012).…”

“…Amongst them, canonical variables technique represents an important tool in discriminating genetic groups, allowing the verification of the degree of similarity through unior multi-dimensional dispersion diagrams involving canonical averages. Cluster analysis is used by several authors (PIRES et al, 2002;YAMAKI et al, 2008;VENTURA et al, 2012) as another type of multivariate technique which allowing sampling units to be synthetized in a number of groups. So, homogeneity in cluster and heterogeneity between the clusters are maintained (CRUZ et al, 2004),Therefore, this study aimed to verify the genetic divergence amongst three broiler genotypes, from both sexes, by using performance and carcass traits with the multivariate analysis technique.…”

Canonical correlation analysis applied to production and reproduction traits of meat type quails

“…On a briefly review of literature, canonical correlation analysis have been used on pigs studies (BARBOSA et al, 2005;VENTURA et al, 2011;VENTURA et al, 2012), buffalos (THOMAS & CHAKRAVARTY, 2000), dairy cattle (KESKIN et al, 2004, ÇANKAYA & KAYAALP, 2007, ÇANKAYA et al, 2008a, lambs (SAHIN et al, 2011) and laying hens (YANG et al, 1998;AKBAS & TAKMA, 2005;ROSÁRIO et al, 2006;MENDES & AKKARTAL, 2007;ÇANKAYA et al, 2008b). The aim of this study was to estimate the relation between productive and reproductive traits; to determine which are most relevant on meat type quail selection, leading to higher number off eggs through canonical correlation analysis.…”

Dissimilaridade morfológica entre progênies de açaizeiro provenientes de Anajás - PA

“…Para atingir estes resultados, diferentes metodologias de caracterização utilizando técnicas multivariadas envolvendo componentes principais, agrupamentos, variáveis canônicas, distâncias Euclidiana e de Mahalanobis, têm sido empregados na interpretação de diversidade (Ventura et al, 2012;Cruz et al, 2012). A utilização de técnicas multivariadas é mais apropriada em virtude das características serem consideradas simultaneamente, pois levam em consideração as possíveis correlações entre as características investigadas (Ventura et al, 2012).…”