blue duiker
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2021 ◽  
Vol 14 (1) ◽  
pp. 10-18
Author(s):  
Olivier Miantsia Fokam ◽  
Félix Meutchieye ◽  
Evaristus Tsi Angwafo

Dans le but de contribuer à la caractérisation phénotypique du Cephalophus monticola (céphalophe bleu) dans la partie méridionale du Cameroun (trois zones agroécologiques), 22 caractéristiques biométriques ont été considérés sur 180 céphalophes bleus adultes sélectionnés selon la méthode opportuniste. L’analyse des données s’est faite en utilisant la statistique descriptive à travers le logiciel d’analyse SPSS version 21.0 et XLSAT-Pro version 7.5.2. Il en résulte que les caractéristiques biométriques de la tête ne subissent aucune n’influence des zones agroécologiques. Cependant, l’envergure des cornes (EC) présente une très grande variation dans la zone V (CV=113,27%) dont la femelle avec un CV=96,55%. Pour ce qui est du tronc, la longueur du corps (LCprs) présente une grande dispersion autour de la moyenne avec des valeurs suivantes (en cm) : (71,78 ± 12,46) ; (69,13 ± 13,66) et (66,53 ± 15,54) respectivement aux zones III, IV et V. De tous les caractéristiques biométriques, la longueur de la queue (LQ), le tour du canon antérieur (TCA) présentent une différence significative (P<0,05). L’analyse en composante principale (ACP) permet de voir le niveau de variabilité génétique du céphalophe bleu à travers les caractéristiques biométriques. Ainsi deux niveaux de variabilité génétiques sont observés selon les axes F1 (46,94%) et F2 (10,81%). Les caractéristiques biométriques étudiées permettraient de différencier les céphalophes bleus dans les trois zones agroécologiques. L’utilisation des outils moléculaires ouvriraient des perspectives de mieux cerner la génétique des populations du céphalophe bleu au CamerounAbstract This study aimed at contributing to the phenotypic characterization of Cephalophus monticola (blue duiker) in 3 agroecological zones of the Southern Cameroon region. A total of 22 morphological data were collected on 180 adult blue duikers and 15 cranial measurements on 60 skulls using the opportunistic approach. Data analyses were performed using the descriptive statistics through the software SPSS version 21.0 and XLSTAT-Pro version 7.5.2. From the findings, it appears that the biometric characteristics of the head were not influenced by the agro ecological factor. However, horn width (HW) presents a large variation in zone V (CV=113.27%) which the female having an CV=96.55%. Concerning the trunk, the Body length (BL) expresses a large dispersion with the respective values (in cm): (71.78 ± 12.46); (69.13 ± 13.66) and (66.53 ± 15.54) respectively to agroecological zones III, IV and V. Three traits, tail length (TL) and fore leg girth (FLG) showed significant differences (P<0.05). The principal component analysis (PCA) displays the level of genetic variability of blue duiker through biometric characters. Then, it was observed two levels of genetic of variability according to the axes F1 (46,94%) and F2 (10,81%). The biometric traits tended to discriminate blue duikers in the three agroecological zones. This could be interesting for further investigations involving molecular tools for population genetics.


2020 ◽  
pp. 016-021
Author(s):  
Miantsia Olivier IngFokam ◽  
Félix Meutchieye ◽  
Angwafo PrEvaristus Tsi

The blue duiker (Cephalophusmonticola)isexclusively an African wild bovidae. It is a principal source of protein in the African forest zones and contributes in the nutrition of local populations. Fifteen cranial measurements on 60 skulls using the opportunist’s method as from January 2018 to December2018. Descriptive statistic and multivariate analysis were done using SPSS version 21.0software and XLSTAT-Pro version 7.5.2 software. It reveals that, there exist a significant difference between males and females skull (p>0.05): total length of skull 114.32 ± .81 and 121.71 ± 1.77; Palate maximal width 35.24 ± .75 and 44.96 ± 14.80; postorbital apophyses width 23.34 ± 1.11and 36.26 ± 1.79; Palatine length 55.31 ± 1.16 and 66.52 ± 1.86; condyle basal length 96.53 ± 1.26 and 105.43 ± 3.05 for the males and females respectively. We have a high positive correlation between the jugal teeth line length and the total skull length (0.973); between palatine length and the total skull length (0.990) and, between condyle basal length and the total skull length (0.993). The principal component analysis (PCA) enable us to see the level of genetics variabilities of blue duiker through skull measurements. These variables measurement are close together from one to another where there is a high similarity between species. Despite these similarities, the population structure of blue duiker shows three sub-species of blue duiker C1, C2 and C3 found respectively in the agro ecological zones of the Western highlands, Mono-modal humid forest and Bimodal humid forest. These three sub-species varies genetically.


2018 ◽  
Vol 8 (23) ◽  
pp. 11754-11762
Author(s):  
Tongai Musariri ◽  
Nicola Pegg ◽  
Justice Muvengwi ◽  
Faith Muzama

2009 ◽  
Vol 47 (4) ◽  
pp. 556-566 ◽  
Author(s):  
Erin L. Kendrick ◽  
Lisa A. Shipley ◽  
Ann E. Hagerman ◽  
Lauren M. Kelley

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