Application of multifactorial discriminant analysis in the morphostructural differentiation of Andalusian caprine breeds

Herrera, Mariano; Serrano, Evangelina Rodero; Gutiérrez, Miriam; Peña, Francisco; Rodero, J.M.

doi:10.1016/0921-4488(96)00863-2

Cited by 87 publications

(97 citation statements)

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“…All resultant morphometric characteristics of major discriminant loads, except chest girth of this study are environmentally independent and thus indicate inherent size. Some of the present discriminant variables are similar to those found by Herrera et al (1996) working on Andalusian breeds and Crepaldi et al (2001), working on goat populations from the Lombardy Alps. In a related study in sheep, Salako & Ngere (2002) reported that head width, face length (cephalic characters), body length and withers height were among the six variables used to place WAD and Yankasa sheep in a determined population, thereby reducing assignment error levels.…”

Section: Resultssupporting

confidence: 63%

Discriminant analysis of morphometric differentiation in the West African Dwarf and Red Sokoto goats

Yakubu¹,

Salako²,

Imumorin³

et al. 2011

SA J. An. Sci.

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This study evaluated the usefulness of morphological characteristics to distinguish two important indigenous goat breeds in Nigeria. Fifteen morphometric traits were measured on West African Dwarf -WAD (n = 160) and Red Sokoto -RS (n = 142) goats that ranged in age of up to 19 months and were reared extensively in villages in southern and northern Nigeria. Univariate analysis revealed that the body measures of RS goats were significantly higher than those of WAD goats. Canonical discriminant analysis gave better resolution, as only seven external morphological characteristics of strong discriminating power were extracted. The most discriminant variable between the two goat populations was rump height, followed in order by body length, horn length, face length, chest girth, neck circumference and head width. The discriminant function obtained correctly classified 100% of individuals from the sample of known goat populations. The classification accuracy of the function was cross-validated using the split-sample method, and indicated a 99.7% success rate (99.4% of WAD goats and 100% of RS goats were correctly assigned to their source genetic group). This study indicates that a discriminant tool may be used successfully in the field to separate WAD and RS goats. The present results could be complemented by molecular characterization using DNA markers for better management and conservation strategies of genetic resources for indigenous goats.

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Section: Resultssupporting

confidence: 63%

Discriminant analysis of morphometric differentiation in the West African Dwarf and Red Sokoto goats

Yakubu¹,

Salako²,

Imumorin³

et al. 2011

SA J. An. Sci.

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“…Thus, the measures considered in the cluster analysis were WH, BH and EL because they presented low multicollinearity (CN<100) values in this sample. A similar result was found in Spanish herds of local goats (Herrera et al, 1996), in which the chest depth was not discriminating and, therefore, should not be taken into consideration when evaluating breed differences. Through observation of the Euclidean distance matrix D (Table 3), it is possible to see that the maximum value was between Anglo-Nubian and Nambi populations (2.54), making them the most divergent breeds.…”

Section: Resultssupporting

confidence: 63%

Cluster evaluation of Brazilian and Moroccan goat populations using physical measurements

et al. 2013

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-The aim of this study was to compare the genetic diversity of 12 populations of goats in Brazil and Morocco (n = 796) through the use of physical measurements and different multivariate techniques. Traits measured included wither height (WH), distance from the brisket to the ground (BH) and ear length (EL). The standardized Euclidean distance (D) was adopted. The D values were submitted to clustering analysis using hierarchical methods (from nearest neighbor and UPGMAUnweighted Pair Group Method with Arithmetic Mean) and the numbers of clusters were analyzed using the Tocher optimization method. The population clustering was different depending on the method of analysis used. Among the hierarchical methods, UPGMA showed the best fit (CCC = 0.82). The Tocher method enabled the formation of four different clusters. Although the hierarchical and Tocher methods resulted in different cluster formations, both contributed to the interpretation of the genetic cluster divergence. The results obtained through UPGMA and Tocher optimization enable their use for future studies that may include a larger number of biometric variables on greater numbers of individuals and additional populations.

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“…Multifactorial analyses of morphological traits have been proved to be suitable in assessing the variation within a population and can discriminate different population types when all measured morphological variables are considered simultaneously. These kinds of studies are commonly reported in goats (Capote et al, 1998;Dossa et al, 2007;Herrera et al, 1996;Jordana et al, 1993;Zaitoun et al, 2005). However, multivariate analyses on morphological traits are rarely reported in sheep (Riva et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

Multivariate characterization of morphological traits in Burkina Faso sheep

Traoré

Tamboura

Kaboré

et al. 2008

Small Ruminant Research

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a b s t r a c tA total of 6440 female sheep from Burkina Faso were scored for seven body measurements and four qualitative morphological traits. Sampling included the three main environmental areas and sheep breeds of Burkina Faso: the Sahel area (Burkina-Sahel sheep), the SudanSahel area (Mossi sheep) and the Sudan area (Djallonké sheep). Canonical analyses showed that differences in body measurements between the Sudan and the Sudan-Sahel sheep were small even though most body traits showed higher average values in the Burkina-Sahel sheep: the shortest Mahalanobis distance was found between the Sudan and the SudanSahel populations (1.54), whilst that between the Sudan and the Sahelian populations was the largest (7.88). Discriminant analysis showed that most Sudan (Djallonké) individuals (60.85%) were classified as Sudan-Sahel (Mossi) individuals whilst most Burkina-Sahel individuals were classified into their environmental area of sampling (89.46%). Correspondence analyses indicated that the Burkina-Sahel sheep population clustered together with dropping ears, black and brown colour patterns and presence of wattles, the Sudan sheep were closely associated with long hair and vertical and curled ears and that the Sudan-Sahel sheep did not have clear associations with qualitative phenotypic traits. At the morphological level, the Sudan-Sahel (Mossi) sheep population can be considered a geographical subpopulation belonging to the Djallonké breed, showing some particularities, namely larger body size, due to the particular environmental condition of the area in which it is managed and a continuous gene flow from Sahelian sheep, The information reported in this study will be the basis for the establishment of further characterization, conservation and selection strategies for Burkina Faso sheep.

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Application of multifactorial discriminant analysis in the morphostructural differentiation of Andalusian caprine breeds

Cited by 87 publications

References 1 publication

Discriminant analysis of morphometric differentiation in the West African Dwarf and Red Sokoto goats

Discriminant analysis of morphometric differentiation in the West African Dwarf and Red Sokoto goats

Cluster evaluation of Brazilian and Moroccan goat populations using physical measurements

Multivariate characterization of morphological traits in Burkina Faso sheep

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