Genetic morphometry in Nigerian and South African Kalahari Red goat breeds
Genetic improvement of goat breeds in growth and other traits (e.g. milk production) is limited by the demographics of the goat herds, extensive production system and the seemingly long-term nature of improvement through traditional genetics and breeding methods. We studied the genetic morphometry i...
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| Format: | Article |
| Language: | English |
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Sciendo
2018-06-01
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| Series: | Agricultura Tropica et Subtropica |
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| Online Access: | https://doi.org/10.2478/ats-2018-0006 |
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| author | Sanni Muyideen Timothy Okpeku Moses Onasanya Gbolabo Olaitan Adeleke Matthew Adekunle Wheto Mathew Adenaike Adeyemi Sunday Oluwatosin Bamidele Omonuwa Adebambo Oluwafunmilayo Ayoka Ikeobi Christian Obiora Ndubuisi |
| author_facet | Sanni Muyideen Timothy Okpeku Moses Onasanya Gbolabo Olaitan Adeleke Matthew Adekunle Wheto Mathew Adenaike Adeyemi Sunday Oluwatosin Bamidele Omonuwa Adebambo Oluwafunmilayo Ayoka Ikeobi Christian Obiora Ndubuisi |
| author_sort | Sanni Muyideen Timothy |
| collection | DOAJ |
| description | Genetic improvement of goat breeds in growth and other traits (e.g. milk production) is limited by the demographics of the goat herds, extensive production system and the seemingly long-term nature of improvement through traditional genetics and breeding methods. We studied the genetic morphometry in Nigerian goats and South African Kalahari Red goat breeds. A total of 192 goats belonging to three Nigerian breeds (Red Sokoto (RS), Sahel (SH) and West African Dwarf (WAD)) and one South African Kalahari Red (KR) goat breed were analysed. Animals were classified into four age groups: A group – less than 1 year, B group – between 1 and 2 years, C group – between 2 and 3 years and C group – older than 3 years based on dentition. Analysis of variance, correlation matrix, regression and discriminant analyses were used to evaluate morphological variability. Results revealed that the effect of breed on the measured morphometric traits was significant (P < 0.05). The best prediction equation for body weight (BW) with R2 = 0.84 was obtained when body length (BL), withers height (WH) and chest depth (CD) were included in the model for KR goat. Growth traits were positively correlated with each other with the highest correlation coefficients found between BL and BW (r = 0.877, P < 0.01), WH and BW (r = 0.541, P < 0.01), WH and BW (0.661, P < 0.01) and CD and BW (0.738, P < 0.01) in KR, RS, SH and WAD goats, respectively, which are important for a conscious selection and breeding programme for desired traits. Stepwise discriminant procedure showed that WH, CD and BL were the most discriminating variables to separate KR, RS, SH and WAD goats. In accessing morphological diversity, efforts should be made to include phenotypic variables of at least ≥ 3 in order to minimize ambiguity in classification. Based on the pair-wise distances from the Discriminant function, the study provided informed decision, reference information on goat breeding and conservation strategy. |
| first_indexed | 2024-03-13T08:51:52Z |
| format | Article |
| id | doaj.art-07efe13af65e43b5a9a9e2e807eedab5 |
| institution | Directory Open Access Journal |
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| language | English |
| last_indexed | 2024-03-13T08:51:52Z |
| publishDate | 2018-06-01 |
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| series | Agricultura Tropica et Subtropica |
| spelling | doaj.art-07efe13af65e43b5a9a9e2e807eedab52023-05-29T10:54:39ZengSciendoAgricultura Tropica et Subtropica1801-05712018-06-01512516110.2478/ats-2018-0006Genetic morphometry in Nigerian and South African Kalahari Red goat breedsSanni Muyideen Timothy0Okpeku Moses1Onasanya Gbolabo Olaitan2Adeleke Matthew Adekunle3Wheto Mathew4Adenaike Adeyemi Sunday5Oluwatosin Bamidele Omonuwa6Adebambo Oluwafunmilayo Ayoka7Ikeobi Christian Obiora Ndubuisi8Department of Animal Breeding and Genetics, Federal University of Agriculture, Abeokuta, NigeriaAnimal Breeding and Genetics Group, Department of Animal Science, University of Swaziland, SwazilandDepartment of Animal Science, Federal University, Dutse, NigeriaDisciple of Genetics, School of Life Sciences, University of KwaZulu-Natal, South AfricaDepartment of Animal Breeding and Genetics, Federal University of Agriculture, Abeokuta, NigeriaDepartment of Animal Breeding and Genetics, Federal University of Agriculture, Abeokuta, NigeriaDepartment of Animal Production and Health, Federal University of Agriculture, Abeokuta, NigeriaDepartment of Animal Breeding and Genetics, Federal University of Agriculture, Abeokuta, NigeriaDepartment of Animal Breeding and Genetics, Federal University of Agriculture, Abeokuta, NigeriaGenetic improvement of goat breeds in growth and other traits (e.g. milk production) is limited by the demographics of the goat herds, extensive production system and the seemingly long-term nature of improvement through traditional genetics and breeding methods. We studied the genetic morphometry in Nigerian goats and South African Kalahari Red goat breeds. A total of 192 goats belonging to three Nigerian breeds (Red Sokoto (RS), Sahel (SH) and West African Dwarf (WAD)) and one South African Kalahari Red (KR) goat breed were analysed. Animals were classified into four age groups: A group – less than 1 year, B group – between 1 and 2 years, C group – between 2 and 3 years and C group – older than 3 years based on dentition. Analysis of variance, correlation matrix, regression and discriminant analyses were used to evaluate morphological variability. Results revealed that the effect of breed on the measured morphometric traits was significant (P < 0.05). The best prediction equation for body weight (BW) with R2 = 0.84 was obtained when body length (BL), withers height (WH) and chest depth (CD) were included in the model for KR goat. Growth traits were positively correlated with each other with the highest correlation coefficients found between BL and BW (r = 0.877, P < 0.01), WH and BW (r = 0.541, P < 0.01), WH and BW (0.661, P < 0.01) and CD and BW (0.738, P < 0.01) in KR, RS, SH and WAD goats, respectively, which are important for a conscious selection and breeding programme for desired traits. Stepwise discriminant procedure showed that WH, CD and BL were the most discriminating variables to separate KR, RS, SH and WAD goats. In accessing morphological diversity, efforts should be made to include phenotypic variables of at least ≥ 3 in order to minimize ambiguity in classification. Based on the pair-wise distances from the Discriminant function, the study provided informed decision, reference information on goat breeding and conservation strategy.https://doi.org/10.2478/ats-2018-0006discriminant analysisgeneticgoatmorphologynigeriasouth africa |
| spellingShingle | Sanni Muyideen Timothy Okpeku Moses Onasanya Gbolabo Olaitan Adeleke Matthew Adekunle Wheto Mathew Adenaike Adeyemi Sunday Oluwatosin Bamidele Omonuwa Adebambo Oluwafunmilayo Ayoka Ikeobi Christian Obiora Ndubuisi Genetic morphometry in Nigerian and South African Kalahari Red goat breeds Agricultura Tropica et Subtropica discriminant analysis genetic goat morphology nigeria south africa |
| title | Genetic morphometry in Nigerian and South African Kalahari Red goat breeds |
| title_full | Genetic morphometry in Nigerian and South African Kalahari Red goat breeds |
| title_fullStr | Genetic morphometry in Nigerian and South African Kalahari Red goat breeds |
| title_full_unstemmed | Genetic morphometry in Nigerian and South African Kalahari Red goat breeds |
| title_short | Genetic morphometry in Nigerian and South African Kalahari Red goat breeds |
| title_sort | genetic morphometry in nigerian and south african kalahari red goat breeds |
| topic | discriminant analysis genetic goat morphology nigeria south africa |
| url | https://doi.org/10.2478/ats-2018-0006 |
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