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All Journal Journal of the Indonesian Tropical Animal Agriculture Tropical Animal Science Journal
A. Yakubu
Department of Animal Science, Faculty of Agriculture, Nasarawa State University
Agriculture, Biological Sciences & Forestry Earth & Planetary Sciences Energy

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Breeding Practices and Trait Preferences of Sheep Farmers in a Sub-Humid Tropical Environment A. Yakubu; S. Isa; O. Alabi; A. J. Shoyombo; A. I. Adeolu
Tropical Animal Science Journal Vol. 43 No. 4 (2020): Tropical Animal Science Journal
Publisher : Faculty of Animal Science, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5398/tasj.2020.43.4.377

Abstract

The present study was carried out to determine the livestock breeding practices and the trait preferences of sheep farmers in Nasarawa State, Nigeria. A total of 132 sheep keepers were randomly sampled out of which data from 120 farmers were utilized in the final analysis. Primary data were collected through individual semi-structured questionnaire administration. Categorical and continuous variables including production and breeding traits were statistically tested based on sex of the respondents. Age of respondents, educational status, primary occupation, access to credit, and type of landholding were significantly different between the male and female farmers. Flock size was higher in farms owned by male farmers (19.63±1.04 versus 15.16±1.00). However, both sexes did not differ (p>0.05) in the ranking of meat, religion, income, hides, and skin and cultural purpose as reasons for keeping sheep. As regards management of sheep, control of breeding and access to veterinary services were low among female farmers. Apart from cultural/religious significance which was ranked higher by female farmers (63.38 versus 52.23; p≤0.05), other production traits such as disease resistance, survivability, growth rate, meat quality, fertility, body size, and prolificacy did not vary between sexes. Disease resistance, which the male farmers attached more importance (57.0 versus 70.52; p≤0.05), was the only significant breeding trait between sexes. Categorical principal component analysis (CATPCA) also revealed little influence of sex on the production and breeding traits investigated. The present findings could guide interventions such as the setting up of sustainable community-based breeding schemes to improve sheep production in the study area.
Genetic Diversity of Rabbit (Oryctolagus cuniculus) Population in South Eastern Nigeria Using Microsatellite Markers: A. I. Adeolu; M. Wheto; V. U. Oleforuh-Okoleh; R. N. Nwose; A. S. Adenaike; A. Yakubu; E. M. Abiola; B. G. Mohammed
Tropical Animal Science Journal Vol. 44 No. 3 (2021): Tropical Animal Science Journal
Publisher : Faculty of Animal Science, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5398/tasj.2021.44.3.280

Abstract

A study was conducted to estimate the diversity that exists among three rabbit populations adapted to the South-Eastern part of Nigeria. Blood samples were collected from 75 matured, mixed-sex, and unrelated three rabbit breeds selected across the zone. Eight microsatellites (Sol30, Sol33, and Sol44, Sat3, Sat7, Sat8, Sat12, and INRA) markers were used for the study. These microsatellites were uniformly distributed among rabbit genomes for genotyping. Subsequently, genetic variability within and between breeds was calculated. Allelic frequencies and Hardy-Weinberg equilibriums as well as Analysis of Molecular Variance, were also estimated using GenAlEX 6.41 software. Discriminant Analysis of Principal Components (DAPC) for the population structure of the rabbit breeds was performed in R v.3.5.0 using the R package adegenet. All the 8 loci amplified in this study were found to be 100% polymorphic, the observed allele sizes and their frequencies for the microsatellite markers in every three breeds showed that the highest frequency was 0.330 for the allele with the size of 470bp at Sol33 locus in New Zealand White (NZW) rabbits. The Nei’s genetic identities and distances between Chinchilla (CHI) and Dutch (DUT), CHI and NZW, DUT and NZW obtained in this study were [0.173, 0.185, and 0.189] and [1.753, 1.689, and 1.666] respectively. The dendrogram and biplot revealed that the three breeds were identified at two separate clusters. In addition, the admixture level of an individual rabbit among the three breeds indicated that the breeds were not pure and also the existence of more polymorphism within the breed than among the breed diversity.
Quantifying of morphological character for Kacang goat using principal component factor analysis D. A. Lestari; S. Sutopo; E. Kurnianto; M. I. A. Dagong; S. R. A. Bugiwati; K. Mamat-Hamidi; A. Yakubu; N. S. Pandupuspitasari; I. Agusetyaningsih; F. T. Kamila; A. Setiaji
Journal of the Indonesian Tropical Animal Agriculture Vol 49, No 4 (2024): December
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jitaa.49.4.316-322

Abstract

The study’s objective was to estimate the association among various linear body measurements and body weights of adult Kacang goats. The data was obtained from 209 heads of adult Kacang Goat, compressed 78 bucks and 131 ewes. The morphological evaluation was performed by measuring body weight (BW), body length (BL), chest depth (CD), chest girth (CG), chest width (CW), and withers height (WH). Factor PROCEDURE was performed to estimate the principal component. The result of factor analysis was used to determine the independent variable for linear regression analysis. BW has a favorable correlation with CG, BL, CD, CW, and WH for bucks and ewes. PC 1 accounts for 55.62% of the variation in bucks, while PC 2 accounts for an additional 18.34%. PC 1 accounts for just 0.45% of the overall variation in ewes, whereas PC 2 accounts for 0.24%. The R-squared (R2) values for bucks and ewes in the regression equation with CG as the independent variable are 0.32 and 0.41, respectively. For both bucks and ewes, the regression equation with CW as the independent variable had a higher R2 of 0.52 and 0.20, respectively. For bucks and ewes, the regression equation'sR2 values are 0.54 and 0.44, respectively, with combined CG and CW acting as independent variables. This integrated approach to analyzing body measurements in Kacang Goats provides a robust foundation for making informed decisions in goat farming.
Co-Authors A. I. Adeolu A. I. Adeolu A. J. Shoyombo A. S. Adenaike A. Setiaji B. G. Mohammed D. A. Lestari E. Kurnianto E. M. Abiola F. T. Kamila I. Agusetyaningsih K. Mamat-Hamidi M. I. A. Dagong M. Wheto N. S. Pandupuspitasari O. Alabi R. N. Nwose S. Isa S. R. A. Bugiwati S. Sutopo V. U. Oleforuh-Okoleh