7 results on '"Kunene N.W."'
Search Results
2. Morphological structure of Zulu sheep based on principal component analysis of body measurements
- Author
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Mavule, B.S., Bezuidenhout, C.C., Muchenje, V., and Kunene, N.W.
- Subjects
morphological structure ,Zulu sheep ,principal component analysis - Abstract
Information regarding morphology of indigenous sheep in South Africa is scant, and even where data exist it is rarely presented using standardised methodologies. Principal component analysis (PCA) was applied to 13 body measurements in order to provide an objective description of the body shape and size of 1665 Zulu sheep, obtained from rural communities of KwaZulu Natal. Data was analysed separate for young (no permanent incisors) and adult sheep (≥2 pairs of permanent incisors). On average mature males measured higher than mature ewes in most morphometric traits. The correlation coefficients between different body measurements in young sheep were all significant except for correlation between ear length and tail length whilst in adult sheep 79 out of 96 combinations showed significant correlation. Body weight and heart girth had the highest correlations in both age groups. Ear length and tail length related combinations had lower correlation coefficients in both age groups. The PCA of morphometric traits extracted two components with a total variance of 66.85% in young sheep and four components in adult sheep which explained a total variance of 62.13%. The first factor (PC1) in each case had high loadings for variables relating to body size, whilst PC2 had high association with traits reflecting body shape. The PC3 had high factor loadings for head length and head width, and thus defined head size. Tail length, ear length and whither height on the other hand contributed least towards total variation. The use of principal components was more appropriate than the use of original correlated variables in predicting body weight of Zulu sheep. PCA was able to identify traits with greater variability, these can be improved with greater success in breeding programmes and also the number of variables was reduced to give a concise picture of morphological structure (body size and shape) of a Zulu sheep. These components can as well be used in predicting body weight of Zulu sheep http://www.journals.elsevier.com/small-ruminant-research/ http://www.sciencedirect.com/science/article/pii/S0921448812004154 doi:10.1016/j.smallrumres.2012.09.008 National Department of Agriculture, Forestry and Fisheries, the NRF (Gun number: 76352) and the University of Zululand (project number: 5509/04)
- Published
- 2013
3. Morphological structure of Zulu sheep based on principal component analysis of body measurements
- Author
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12540110 - Bezuidenhout, Cornelius Carlos, Mavule, B.S., Bezuidenhout, C.C., Muchenje, V., Kunene, N.W., 12540110 - Bezuidenhout, Cornelius Carlos, Mavule, B.S., Bezuidenhout, C.C., Muchenje, V., and Kunene, N.W.
- Abstract
Information regarding morphology of indigenous sheep in South Africa is scant, and even where data exist it is rarely presented using standardised methodologies. Principal component analysis (PCA) was applied to 13 body measurements in order to provide an objective description of the body shape and size of 1665 Zulu sheep, obtained from rural communities of KwaZulu Natal. Data was analysed separate for young (no permanent incisors) and adult sheep (≥2 pairs of permanent incisors). On average mature males measured higher than mature ewes in most morphometric traits. The correlation coefficients between different body measurements in young sheep were all significant except for correlation between ear length and tail length whilst in adult sheep 79 out of 96 combinations showed significant correlation. Body weight and heart girth had the highest correlations in both age groups. Ear length and tail length related combinations had lower correlation coefficients in both age groups. The PCA of morphometric traits extracted two components with a total variance of 66.85% in young sheep and four components in adult sheep which explained a total variance of 62.13%. The first factor (PC1) in each case had high loadings for variables relating to body size, whilst PC2 had high association with traits reflecting body shape. The PC3 had high factor loadings for head length and head width, and thus defined head size. Tail length, ear length and whither height on the other hand contributed least towards total variation. The use of principal components was more appropriate than the use of original correlated variables in predicting body weight of Zulu sheep. PCA was able to identify traits with greater variability, these can be improved with greater success in breeding programmes and also the number of variables was reduced to give a concise picture of morphological structure (body size and shape) of a Zulu sheep. These components can as well be used in predicting body weight of Zulu
- Published
- 2013
4. Genetic and phenotypic diversity in Zulu sheep populations: Implications for exploitation and conservation
- Author
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12540110 - Bezuidenhout, Cornelius Carlos, Kunene, N.W., Nsahlaic, I.V., Bezuidenhout, Cornelius C., 12540110 - Bezuidenhout, Cornelius Carlos, Kunene, N.W., Nsahlaic, I.V., and Bezuidenhout, Cornelius C.
- Published
- 2009
5. Genetic and phenotypic diversity in Zulu sheep populations: Implications for exploitation and conservation
- Author
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Kunene, N.W., primary, Bezuidenhout, C.C., additional, and Nsahlai, I.V., additional
- Published
- 2009
- Full Text
- View/download PDF
6. Determination of prediction equations for estimating body weight of Zulu (Nguni) sheep
- Author
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Kunene, N.W., primary, Nesamvuni, A.E., additional, and Nsahlai, I.V., additional
- Published
- 2009
- Full Text
- View/download PDF
7. A comprehensive analysis of the genetic diversity and environmental adaptability in worldwide Merino and Merino-derived sheep breeds
- Author
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Simone Ceccobelli, Vincenzo Landi, Gabriele Senczuk, Salvatore Mastrangelo, Maria Teresa Sardina, Slim Ben-Jemaa, Christian Persichilli, Taki Karsli, Valentin-Adrian Bâlteanu, María Agustina Raschia, Mario Andrés Poli, Gabriel Ciappesoni, Farai Catherine Muchadeyi, Edgar Farai Dzomba, Nokuthula Winfred Kunene, Gesine Lühken, Tatiana Evgenievna Deniskova, Arsen Vladimirovich Dotsev, Natalia Anatolievna Zinovieva, Attila Zsolnai, István Anton, Szilvia Kusza, Nuno Carolino, Fátima Santos-Silva, Aldona Kawęcka, Marcin Świątek, Roman Niżnikowski, Marija Špehar, Gabriel Anaya, Antonio Granero, Tiago Perloiro, Pedro Cardoso, Silverio Grande, Beatriz López de los Santos, Coralie Danchin-Burge, Marina Pasquini, Amparo Martínez Martínez, Juan Vicente Delgado Bermejo, Emiliano Lasagna, Elena Ciani, Francesca Maria Sarti, Fabio Pilla, Ceccobelli S., Landi V., Senczuk G., Mastrangelo S., Sardina M.T., Ben-Jemaa S., Persichilli C., Karsli T., Balteanu V.-A., Raschia M.A., Poli M.A., Ciappesoni G., Muchadeyi F.C., Dzomba E.F., Kunene N.W., Luhken G., Deniskova T.E., Dotsev A.V., Zinovieva N.A., Zsolnai A., Anton I., Kusza S., Carolino N., Santos-Silva F., Kawecka A., Swiatek M., Niznikowski R., Spehar M., Anaya G., Granero A., Perloiro T., Cardoso P., Grande S., de Los Santos B.L., Danchin-Burge C., Pasquini M., Martinez Martinez A., Delgado Bermejo J.V., Lasagna E., Ciani E., Sarti F.M., and Pilla F.
- Subjects
Merino sheep, genetic diversity, SNPs, selection signatures ,Merino trunk ,Genetics ,SNPs, phylogenetic relationships, Merino trunk, biodiversity ,phylogenetic relationships ,Merino and Merino-derived breeds ,genetic diversity ,environmental adaptability ,Animal Science and Zoology ,General Medicine ,Ecology, Evolution, Behavior and Systematics ,SNPs ,biodiversity - Abstract
Background To enhance and extend the knowledge about the global historical and phylogenetic relationships between Merino and Merino-derived breeds, 19 populations were genotyped with the OvineSNP50 BeadChip specifically for this study, while an additional 23 populations from the publicly available genotypes were retrieved. Three complementary statistical tests, Rsb (extended haplotype homozygosity between-populations), XP-EHH (cross-population extended haplotype homozygosity), and runs of homozygosity (ROH) islands were applied to identify genomic variants with potential impact on the adaptability of Merino genetic type in two contrasting climate zones. Results The results indicate that a large part of the Merino’s genetic relatedness and admixture patterns are explained by their genetic background and/or geographic origin, followed by local admixture. Multi-dimensional scaling, Neighbor-Net, Admixture, and TREEMIX analyses consistently provided evidence of the role of Australian, Rambouillet and German strains in the extensive gene introgression into the other Merino and Merino-derived breeds. The close relationship between Iberian Merinos and other South-western European breeds is consistent with the Iberian origin of the Merino genetic type, with traces from previous contributions of other Mediterranean stocks. Using Rsb and XP-EHH approaches, signatures of selection were detected spanning four genomic regions located on Ovis aries chromosomes (OAR) 1, 6 and 16, whereas two genomic regions on OAR6, that partially overlapped with the previous ones, were highlighted by ROH islands. Overall, the three approaches identified 106 candidate genes putatively under selection. Among them, genes related to immune response were identified via the gene interaction network. In addition, several candidate genes were found, such as LEKR1, LCORL, GHR, RBPJ, BMPR1B, PPARGC1A, and PRKAA1, related to morphological, growth and reproductive traits, adaptive thermogenesis, and hypoxia responses. Conclusions To the best of our knowledge, this is the first comprehensive dataset that includes most of the Merino and Merino-derived sheep breeds raised in different regions of the world. The results provide an in-depth picture of the genetic makeup of the current Merino and Merino-derived breeds, highlighting the possible selection pressures associated with the combined effect of anthropic and environmental factors. The study underlines the importance of Merino genetic types as invaluable resources of possible adaptive diversity in the context of the occurring climate changes.
- Published
- 2023
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