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(ISSN:2575-7822) Goat Production and Distribution Pattern in Ibadan/Ibarapa Zone, Oyo S

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(ISSN:2575-7822) Goat Production and Distribution Pattern in Ibadan/Ibarapa Zone, Oyo S Adedayo O Sosina et al., IJAR, 2020; 4:38 Research Article IJAR (2020) 4:38 International Journal of Animal Research (ISSN:2575-7822) Goat Production and Distribution Pattern in Ibadan/Ibarapa Zone, Oyo State Adedayo O Sosina, Omosile A Adeoso Department of Animal Science, University of Ibadan ABSTRACT The availability, population, and distribution of goat at the system *Correspondence to Author: level are of great concern to the livestock policymakers. Most Adedayo O Sosina often, policy formulation and implementation on goat production Department of Animal Science, had been faulty without meeting the desired objectives. Little information does exist concerning the distribution of goat pro- University of Ibadan duction at the system level in the Ibadan/Ibarapa zone of Oyo state. Hence, this study on the mapping of goat production and How to cite this article: distribution in the selected area was undertaken. A three-stage Adedayo O Sosina, Omosile A sampling technique with 270 sampling population was used. Six Local Government Areas (LGAs) with a high prevalence of Adeoso. Goat Production and Dis- crop-livestock production system, three villages per LGA and fif- tribution Pattern in Ibadan/Ibarapa teen respondents per village were purposively selected. Distribu- Zone, Oyo State. International Jour- tion pattern of goat population (Tropical Livestock Unit, TLU) was nal of Animal Research, 2020; 4:38. appraised with spatial analytical tools following standard meth- ods. The Global Positioning System (GPS) was used to locate the population of farmers and appreciate the spatial distribution of goat production among farmers in the study area. A GIS (Geo- graphic Information System) is a computerized database man- agement system for capturing, storing retrieving, manipulating, analyzing and displaying spatial information. Ibarapa East LGA eSciPub LLC, Houston, TX USA. had the highest TLU (37) for Goat when compared with Egbeda, Website: https://escipub.com/ Ido, Ona-ara, Akinyele and Oluyole LGA with TLU of 30, 20, 6, 4 and 2, respectively. The availability of abundant crop residues and feed resources in Ibarapa area coupled with a large ex- panse of land encouraged goat production activities as observed in Ibarapa East, Egbeda and Ido LGA. The lower TLU observed in Ona-ara, Akinyele and Oluyole LGA can probably be due to the urbanization in those locations which has adversely affected goat production. In conclusion, using the spatial analytical tool of GIS, various activities of the goat production can be monitored, assessed and designed to meet market intervention. Keywords: Crop residues, Global positioning system, Goat pop- ulation and distribution, Ecological zones. International Journal of Animal Research 1 Adedayo O Sosina et al., IJAR, 2020; 4:38 Introduction snowball selection technique. The data obtained from the Participatory Rural Appraisal were Income from goat production in the derived analyzed using descriptive statistics. The GPS savannah area of Nigeria is generally low mainly of the farmers’ location, livestock population and due to inadequate linkage to market. The distribution were recorded, taking the longitude availability, distribution, and population of goats and latitude of the locations in question. The at the system level are of great concern to the recorded GPS data of the study area were policymaker and livestock planning. The local transferred into the ARC-GIS. The ARC-GIS and uncoordinated market appears to be the software processed the data into location using only avenue for sales in an area with a high the ARC-GIS model 10.0 from the GIS unit of the intensity of goat production. Department of Geography, University of Ibadan. However, with the launch and subsequent The data collected was accompanied by the operation of NigeriaSat 1, the need to exploit the administration of a set of the questionnaire merits of geo-informatics in agriculture in Nigeria (conducted through an interview session) which is ripe (3). (5,10) reported the relevance of geo- was designed to obtain information on information techniques in agricultural socioeconomic characteristics of the farm development, examine the situation in Nigeria owners and characteristics of the sampled and consequently make a case for the adoption farms. Data were analyzed using descriptive of geo-information techniques, and in particular statistics. Precision Farming techniques in Nigeria (9). There is a paucity of information and Results coordination of goat production, market as well Mapping of Goat Production and Distribution in as other actors in the goat production value Ibadan/Ibarapa zone: From Fig 1, the GIS chain. Hence, there is a need to identify the mapping of Goat Production of farmers in location of the livestock producers with a view of Ibadan/Ibarapa zone was identified using the agricultural planning and policy implementation. GPS location. The GPS was used to locate the There is a dearth of information concerning the population of farmers and appreciate the spatial distribution of goat production at the system distribution of goat production among farmers in level. Hence, the study assessed goat the study area. The graphical representation production and distribution pattern in the shows the Tropical Livestock Unit (TLU) of goat Ibadan/Ibarapa zone, Oyo state, Southwest, kept by the farmers in the Ibadan/Ibarapa zone. Nigeria. GIS map showed the location of the various Materials and methods farmers’ involved in Goat production in the study area. Fig. 2 revealed the Goat production data The study was carried out in the Ibadan/ Ibarapa collected from the Local Government Areas Area of Oyo State of Nigeria (as shown in Figure (LGA) namely Akinyele, Egbeda, Ibarapa East, 1). The area is ethnically heterogeneous with a Ido, Oluyole and Ona Ara. Ibarapa East had the high concentration of smallholder crop and highest TLU of 37 for Goat compared with other livestock farmers, considered as the location. Egbeda closely followed with Goat TLU occupational group with a high incidence of of 30. Ido, Ona-ara, Akinyele, and Oluyole had poverty. A three-stage-sampling technique was Goat TLU of 20, 6, 4 and 2 respectively. This used to elicit information from 270 respondents. probably could be due to the availability of Ibadan/Ibarapa Zone of Oyo state was abundant crop residues and feed resources in purposively selected for the study. Six cells Ibarapa area coupled with a large expanse of (LGAs) were randomly selected for the research, land for goat production activities. three villages were randomly selected in each cell and fifteen farmers were selected using the International Journal of Animal Research 2 Adedayo O Sosina et al., IJAR, 2020; 4:38 Fig.1: Map of Ibadan/Ibarapa area study area Fig.2: GIS/GPS Mapping of goat production pattern in Ibadan/Ibarapa zone, Southwest, Nigeria The population of goat farmers (as shown in Fig.2) with higher TLU of 30 goats was found in Egbeda, lower TLU of 6, 4 and 2 in Akinyele, Ona-ara and Oluyole suggested that rain-forest ecological zone still favored small ruminant production especially the dominant West African Dwarf (WAD) Goat. The average herd sizes of goat farmers were similar in Akinyele, Oluyole, and Ona-Ara. This was probably due to the urbanization of the area that affected the goat production adversely. For commercial Goat production, using the spatial analytical tool of GIS, various activities of the goat production can be monitored, assessed and designed for possible intervention. Moreover, for commercial goat production favored siting of such farms in Ibarapa East. International Journal of Animal Research 3 Adedayo O Sosina et al., IJAR, 2020; 4:38 Discussions Authors declared that there was no conflict of Goat production and distribution pattern could interest. be due to the availability of abundant crop References residues and feed resources in Ibarapa area 1. Amole T.A. and A.A. Ayantunde (2016). coupled with a large expanse of land for goat Assessment of Existing and Potential Feed production activities. These findings agreed with Resources for Improving Livestock Productivity in (2, 4) that reported similar findings on cattle and Niger. International Journal of Agricultural Research 11: 40- 55 goat production among agro-pastoralist in South 2. Fakoya, E.O. (2007) Utilization of Crop – West, Nigeria. The high populations of goat Livestock Production Systems for Sustainable farmers found in Egbeda and lower in Akinyele, Agriculture in Oyo State, Nigeria J. Soc. Sci., Ona-ara, and Oluyole suggested that rain-forest 15(1): 31-33 (2007). ecological zone still favored small ruminant 3. NigeriaSat-1 (2003): Images and Operations of Nigeria earth observations satellite: NigeriaSat 1. production especially the dominant West African 4. Olafadehan O.A. and M. K. Adewumi (2011). Dwarf (WAD) Goat. The average herd sizes of Livestock management and production system of goat farmers were similar in Akinyele, Oluyole, agropastoralists in the derived savanna of South- and Ona-Ara. This was probably due to the west, Nigeria. Tropical and Subtropical urbanization of the area that affected the goat Agroecosystems, 12 (2010): 685 – 691. 5. Olatoye T.A and G.O. Odularu (2013). production adversely. The result supported the Applications of remote sensing and geographic work of (8) that reported low TLU of goat in the information systems technologies in livestock urban area compared with the agrarian management. A paper presented at the communities in Ogun State. This was in contrast Conference of the International Livestock to the report of (1) that ruminant is produced in Research Institute (ILRI), held at Hotel Africana Conference Centre, Kampala, Uganda on the rural areas in Niger. For commercial Goat September 9-11, 2013. production and distribution, using the spatial 6. Olugaza B. O., J.B. Dogba, B. Ogunro, E. A. analytical tool of GIS, various activities of the Odigie, J. Nykoi, J. F. Ojo, O.Taiwo, A.Kamara, C. goat production can be monitored, assessed K. Mulbah, A. J. Fasunla (2014). The rubber and designed for possible intervention.
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