Please use this identifier to cite or link to this item: http://148.72.244.84:8080/xmlui/handle/xmlui/8295
Title: Status of Climate Smart Small Ruminant Production Practices in Kwara State, Nigeria
Authors: John O. Ifabiyi
G. Opeyemi
Ibrahim K. Banjoko
Keywords: Status, Climate Smart, Small Ruminant Farmers, Goats, Sheep
Issue Date: ديس-2022
Publisher: University of Diyala / College of Agriculture
Citation: https://journal.djas.uodiyala.edu.iq/
Series/Report no.: Vol. 14;No. 2
Abstract: This study examined the status of climate smart small ruminant production practices in Kwara State, Nigeria. About 105 small ruminant breeders were selected for the study. The data were analysed the use of frequency count, percentage, mean score, Binary Logistic Regression and Pearson product moment correlation. The result revealed that about 60% of the breeders were females and the mean years of experience in small ruminant production was 7 years. The result of most of the frequently used climate smart small ruminant production practices of the respondents showed that provision of medication to sick animals and cultivation of crops along with rearing of animals (90.5%), feeding with supplementary feeds, isolation of sick animals and vaccination of animals (92.4%); provision of shade through Planting of trees to reduce heat stress (93.3%); feeding with crop residues and building and maintenance of pens (96.2%) and grazing on pasture/grassland (97.1%). About 90.5% of the breeders have high status on the use of climate smart small ruminant production practices. Disease outbreak and high mortality (mean=2.07) was the highest ranked factors affecting the small ruminant breeders. The result of Binary Logistic Regression showed that educational level (B=3.985), membership of social group (B=6.083), access to extension services (B= 13.941) and years of experience (B= -0.544) were the determinant factors of the use of climate smart small ruminants production practices. This study therefore recommends th
URI: https://journal.djas.uodiyala.edu.iq/
http://148.72.244.84:8080/xmlui/handle/xmlui/8295
ISSN: ISSN: 2310-8746 (Online)
ISSN: 2073-9524 (Print)
Appears in Collections:مجلة ديالى للعلوم الزراعية / Diyala Agricultural Sciences Journal (DASJ)

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