School of Food Science and Agricultural Technology (SFSAT)
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School of Food Science and Agricultural Technology (SFSAT)
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Item Phenotypic and genetic categorization of qualitative traits in extensively managed local goat (Capra aegagrus) population of Niger State, Nigeria(Nigerian Journal of Genetics, 2015-10-09) Kolo, P. S.; Egena, S.S.A.; Tsado, D.N.; Adisa-Shehu, M.A study on the distribution and frequencies of coat colour, wattle, beard, horn, and hair type using 375 extensively managed local goats wascarried out in the three administrative zones of Niger state, Nigeria. The animals were scored for coat colour pigmentation pattern, presence orabsence of wattle, beard, horn, hair type and extra teat. The study showed that light brown is the predominant colour in zones A (43.24%) and zone C (47.57%). Dark brown colour was predominant in zone B (37.82%) followed by light brown (31.09%). The observed frequencies for wattle (Waw) and extra teat (Ete) were above (p < 0.01) the expected Mendelian value of 75% for a dominant gene in all the zones (90.34, 86.55, 87.39 percent for wattle and 91.73, 96.64, 98.21, percent for extra teat in zones A, B, and C, respectively). The gene frequency for beard (Brb) were significantly lower (p < 0.01) than the expected Mendelian value of 75% for a dominant gene in zone A (66.20%) and zone B (55.46%), butwas higher in zone C (83.78%). The gene frequency for polledness (Pop) was 0.00% for all the zones. The gene frequency for soft hair.was more than (p < 0.01) the expected Mendelian value of 75% for dominant genes in zone C (87.33%) but fell short in zone A (60.69%) and zone B (43.70%), respectively. It was concluded that coat colour variation exist in local goats reared extensively in Niger state.Item Phenotypic and genetic categorization of qualitative traits in extensively managed local goat (Capra aegagrus) population of Niger State, Nigeria(Nigerian Journal of Genetics/Elsevier, 2015-10-09) Kolo, P.S.; Egena, S.S.A.; Tsado, D.N.; Adisa-Shehu, MA study on the distribution and frequencies of coat colour, wattle, beard, horn, and hair type using 375 extensively managed local goats was carried out in the three administrative zones of Niger state, Nigeria. The animals were scored for coat colour pigmentation pattern, presence or absence of wattle, beard, horn, hair type and extra teat. The study showed that light brown is the predominant colour in zones A (43.24%) and zone C (47.57%). Dark brown colour was predominant in zone B (37.82%) followed by light brown (31.09%). The observed frequencies for wattle (Waw) and extra teat (Ete) were above (p < 0.01) the expected Mendelian value of 75% for a dominant gene in all the zones (90.34, 86.55, 87.39 percent for wattle and 91.73, 96.64, 98.21, percent for extra teat in zones A, B, and C, respectively). The gene frequency for beard (Brb) were significantly lower (p < 0.01) than the expected Mendelian value of 75% for a dominant gene in zone A (66.20%) and zone B (55.46%), but was higher in zone C (83.78%). The gene frequency for polledness (Pop) was 0.00% for all the zones. The gene frequency for soft hair.was more than (p < 0.01) the expected Mendelian value of 75% for dominant genes in zone C (87.33%) but fell short in zone A (60.69%) andzone B (43.70%), respectively. It was concluded that coat colour variation exist in local goats reared extensively in Niger stateItem Phenotypic and genetic categorization of qualitative traits in extensively managed local goat (Capra aegagrus) population of Niger State, Nigeria(Nigerian Journal of Genetic/ Elsevier, 2015-10-09) Kolo, P.S.; Egena, S.S.A.; Tsado, D.N.; Adisa-Shehu, MA study on the distribution and frequencies of coat colour, wattle, beard, horn, and hair type using 375 extensively managed local goats was carried out in the three administrative zones of Niger state, Nigeria. The animals were scored for coat colour pigmentation pattern, presence or absence of wattle, beard, horn, hair type and extra teat. The study showed that light brown is the predominant colour in zones A (43.24%) and zone C (47.57%). Dark brown colour was predominant in zone B (37.82%) followed by light brown (31.09%). The observed frequencies for wattle (Waw) and extra teat (Ete) were above (p < 0.01) the expected Mendelian value of 75% for a dominant gene in all the zones (90.34, 86.55, 87.39 percent for wattle and 91.73, 96.64, 98.21, percent for extra teat in zones A, B, and C, respectively). The gene frequency for beard (Brb) were significantly lower (p < 0.01) than the expected Mendelian value of 75% for a dominant gene in zone A (66.20%) and zone B (55.46%), but was higher in zone C (83.78%). The gene frequency for polledness (Pop) was 0.00% for all the zones. The gene frequency for soft hair was more than (p < 0.01) the expected Mendelian value of 75% for dominant genes in zone C (87.33%) but fell short in zone A (60.69%) and zone B (43.70%), respectively. It was concluded that coat colour variation exist in local goats reared extensively in Niger stateItem Phenotypic and genetic categorization of qualitative traits in extensively managed local goat (Capra aegagrus) population of Niger State, Nigeria(Nigerian Journal of Genetics/Elsevier, 2015-10-09) Kolo, P. S; Egena, S.S.A.; Tsado, D.N.; Adisa-Shehu, MA study on the distribution and frequencies of coat colour, wattle, beard, horn, and hair type using 375 extensively managed local goats was carried out in the three administrative zones of Niger state, Nigeria. The animals were scored for coat colour pigmentation pattern, presence or absence of wattle, beard, horn, hair type and extra teat. The study showed that light brown is the predominant colour in zones A (43.24%) and zone C (47.57%). Dark brown colour was predominant in zone B (37.82%) followed by light brown (31.09%). The observed frequencies for wattle (Waw) and extra teat (Ete) were above (p < 0.01) the expected Mendelian value of 75% for a dominant gene in all the zones (90.34, 86.55, 87.39 percent for wattle and 91.73, 96.64, 98.21, percent for extra teat in zones A, B, and C, respectively). The gene frequency for beard (Brb) were significantly lower (p < 0.01) than the expected Mendelian value of 75% for a dominant gene in zone A (66.20%) and zone B (55.46%), but was higher in zone C (83.78%). The gene frequency for polledness (Pop) was 0.00% for all the zones. The gene frequency for soft hair. was more than (p < 0.01) the expected Mendelian value of 75% for dominant genes in zone C (87.33%) but fell short in zone A (60.69%) and zone B (43.70%), respectively. It was concluded that coat colour variation exist in local goats reared extensively in Niger state.Item Path coefficient analysis of body weight and body measurements in Red Sokoto goats (Caprahircus l.) of Niger State, Nigeria(Revue Agriculture, 2014-06) Egena, S.S.A; Tsado, D.N.; Kolo, P. S; Banjo, A. A; Shehu-Adisa, M.Indigenous Red Sokoto goats raised under extensive system of management were used to evaluate the relationship between body weight (BW), head length (HL), head width (HW), height at withers (HAW), chest depth (CD), chest girth (CG), shin circumference (SC) and body length (BL). The objective of the study was to assess variability among body weight and its related characters using path coefficient analysis. Pair wise correlation between body weight and linear body measurements were positive and mostly significant (r= 0.053 - 0.826 in males; -0.020 - 0.667 in females and 0.072 – 0.690 in the combined population; P<0.05, 0.01). Path analysis showed that chest depth, shin circumference and body length made the greatest direct effect on body weight in male, female and the combined population (path coefficient = 0.360, 0.341 and 0.322, respectively) while the least direct effect was observed for height at withers, chest depth and height at withers in the male, female and the combined population (path coefficient = -0.019, -0.104 and -0.001 respectively). The optimum linear regression model with a coefficient of determination (R2) value of 0.684, 0.635 and 0.628 included forecast indices such as chest depth and body length in the male, head length, height at withers, chest depth, chest girth, shin circumference and body length in the female and head length, head width, chest girth, shin circumference and body length in the combined population. The optimum regression equations could be used in predicting body weight of indigenous goats in the field and for selection purposes.