DETERMINANTS OF WILLINGNESS TO PAY FOR ARTIFICIAL INSEMINATION (AI) AMONG MUTURU CATTLE FARMERS IN IPOKIA LOCAL GOVERNMENT AREA, OGUN STATE, NIGERIA

Authors

  • T.O. OYEKALE
  • O.A. ODERINWALE
  • O.J. OLALERE
  • M. WHETO
  • D.P. TOVIESI
  • B.O. OLUWATOSIN

DOI:

https://doi.org/10.33003/jaat.2023.0902.08

Abstract

This study examines the factors influencing willingness to pay (WTP) for artificial insemination (AI) in the Ipokia local government area. A two-stage sampling process was used to select 67 herders in Muturu. Descriptive statistics and logit regression models were used to analyze socioeconomic characteristics, willingness to pay, and related determinants. The results show that muturu cattle raising is mainly male farmers who are married and have relatively large families. The average size of a household is 8 people. The average age of muturu herders is 51 years old and their number of years of experience rearing muturu cattle is 14 years. More than half (56.7%) of farmers bought their own cattle. Only 58.2% participate in the semi-intensive production system. The average herd size is 5 Muturu. Most (77.6%) Muturu farmers have formal education and 70.1% of Muturu farmers are willing to pay for AI. The local name of the muturu in Ipokia is Oni. The factors that determine the willingness of muturu farmers to pay for AI are the muturu herds owned by them, their many years of experience with muturu cattle rearing, their husbandry methods, and their perceptions about the ease of handling muturu cattle. Farmers in Muturu should improve their production system and production scale. It is recommended to organize AI training for muturu cattle breeders because they are willing to pay for AI.

 

References

Adoligbo, M. C., Amaveda, M. A., Adido, M. S., Djimenou, D. and Farougou, S. (2020). Muturu Cattle Breed Management in the Smallholder Farming Area of the Ouémé District in the South of Benin: Rearing Practices, Objectives, and Constraints. Tropical Animal Health and Production. 52 (6): 1-11 https://doi.org/10.1007/s11250-020-02320-8

Ahamefule, F.O., Ibeawuchi, J A., Ukweni, I.A., and Umunnakwe, D.U., (2007). Constraints to cattle production in sub Saharan Africa. Journal of Animal Production and Veterinary Advances 6: 797-801.

Ajayi, F. T., Akintayo, O. I.,Tiamiyu, A. K., Omodele, T. and Omotose, S. O. (2022). Spacial Distribution and Management of Muturu Cattle in Southwest Nigeria: Implication for genetic Conservation. Journal of Animal production 49(4): 113-144 https://doi.org/10.51791/njap.v49i4.3710

Akpabio, U. and Babalola, S. A. (2014). Incidence of foetal wastage and its economic implications in cattle slaughtered at Abak slaughter house Abak, Akwa-Ibom State. Journal of Reproduction and Infertility, 5:65-68.

Alhaji, N. B. 2011. Prevalence and economic implications of calf foetal wastage in an abattoir in Northcentral Nigeria. Tropical Animal Health and Production, 43:587-590.

Babayemi, O. J., Abu, O. A., & Opakunbi, A. (2014). Integrated animal husbandry for schools and colleges, First edition. Positive Press Ibadan, Nigeria, 20 - 122.

Bahar, L. D., Sudirman, I. and Sirajuddin, S. N. (2017) The Farmers willingness to Pay for Artificial Insemination in Bali Cattle. Entomology Applied Science Letters. 4(2) 34-37

Baruselli, P., Reis, E., Marques, M., Nasser, L., and Bó, G. (2004). The use of hormonal treatments to improve reproductive performance of anestrous beef cattle in tropical climates. Animal Reproduction Science, 82: 479-486.

Baruselli, P., Sales, J., Sala, R., Vieira, L., and Sá Filho, M. (2012). History, evolution and perspectives of timed artificial insemination programs in Brazil. Animal Reproduction, 9(3): 139-152.

Bó, G., and Baruselli, P. (2014). Synchronization of ovulation and fixed-time artificial insemination in beef cattle. Animal, 8(1): 144-150.

Bó, G., Cutaia, L., Peres, L., Pincinato, D., Maraña, D., and Baruselli, P. (2006). Technologies for fixed-time artificial insemination and their influence on reproductive performance of Bos indicus cattle. Society of Reproduction and Fertility supplement, 64: 223-236.

Ducrotoy M. J., Majekodunmi A. O., Shaw, A. P. M., Bagulo, H., Musa, U. B., Bertu, W. J., Gusi, A. M., Ocholi, R. A., Bryssinckx, W. and Welburn, S. C. 2016. Fulani cattle productivity and management in the Kachia Grazing Reserve, Nigeria. Pastoralism: Research, Policy and Practice, 6:25.

Fayemi, P. O. and Muchenje, V. 2013. Maternal slaughter at abattoirs: history, causes, cases and the meat industry. SpringerPlus, 2:125.

Galina, C., Orihuela, A., and Rubio, I. (1996). Behavioural trends affecting oestrus detection in Zebu cattle. Animal Reproduction Science, 42(1): 465-470.

Gana, M. A. (2022) Nationwide Free mass vaccination Campaign against transboundary Animal Disease in Dadinkowa, Yamaltu Deba Local Government Area of Gombe State. Federal Ministry of Agriculture and Rural Development (FMARD).

Gates, M. C. (2013). Evaluating the reproductive performance of British beef and dairy herds using national cattle movement records. Veterinary Record, 173:499.

Jabbar, M. A., Swallow, B. M., d’leteren, G. D. M. and Busari, A.A (1997) Farmer Preferences and Market Value of Cattle Breeds of West and Central Africa. Socioeconomic and Policy Research Working Paper No. 2

Lamidi, A. A., and Ingweye, J. N., (2016) Performance assessment of sedentary pastoral managed cattle in Yewa-Awori Axis, Ogun state, Nigeri. Nigerian Jouirnal of Animal Scienc (2):483 - 491

Malusi, N., Falowo, A., and Idamokoro, E. (2021). Herd dynamics, production and marketing constraints in the commercialization of cattle across Nguni Cattle Project beneficiaries in Eastern Cape, South Africa. Pastoralism, 11(1): 1–12.

Mwai, O., Hanotte, O., Kwon, Y-J. and Cho, S. 2015. African indigenous cattle: unique genetic resources in a rapidly changing world. Asian Australasian Journal of Animal Science, 28:911-921.

National Bureau of Statistics (NBS). (2022). Press release. Nigeria launches its most extensive national measure of multidimensional poverty.

Nweze, B. O. and Otuma, M. O. (2020). Herd Simulation Model of Muturu Cattle under Sedentary Pastoral Farming in Derived Savannah, Southeast, Nigeria. Nigerian Journal of Animal Production 47(5): 1 - 12

Omondi, I.A, Zander, K.K, Bauer, S and Baltenweck, I. (2016). Understanding farmers' preferences for artificial insemination services provided through dairy hubs. Online document. Available at https://www.cambridge.org/core/journals/animal/article/abs/understanding-farmers-preferences-for-artificial-insemination-services-provided-through-dairy-hubs/1EA3A447D6136512E03439DC937F2F63# Accessed on 16th February, 2022.

Onoh, P .A., Asiabaka, C. C., Edna Mathews-Njoku, Eze, C. C and Peter-Onoh, C . A (2012) Determinants of Farmers’ Willingness To Pay for Agricultural Extension Services in South-Eastern Nigeria. Nigeria Agricultural Journal, 43 (2012)

Opsomer, G., Coryn, M., Deluyker, H. and De Kruif, A. 1998. An analysis of ovarian dysfunction in high yielding dairy cows after calving based on progesterone profiles. Reproduction in Domestic Animals, 33:193-204.

Ozsayin, D., (2020). Factors Affecting the use of Artificial Inseminationof Farmers in Dairy Farming. International Journal of Agricullture, Environment and Food science, 4(3). DOI: 10.31015/jaefs.2020.3.13

PricewaterhouseCoopers Report. 2017. T r a n s f o r m i n g N i g e r i a ' s Agricultural Value Chain: a case study of the Cocoa and Dairy i n d u s t r i e s .

Saleh, M. K.,Atala, T. K., Omokore, D. F., Ahmed, Ben, Ali, F. S. and Kajang, G. Y. 2016. Performance o f i m p r o v e d d a i r y c a t t l e technologies among farmers in northern Nigeria. Journal of Agricultural Extension, 20:1.

Setiana, L., Saleh, D. M., Nugroho, A. P., and Lana, D. L. (2020). Factors in the Adoption of Beef Cattle Artificial Insemination (AI) Technology in Brebes. Jurnal Penyuluhan 16(1) https://doi.org//10.25015/1620202757w

Thomas, J., Picking, E., Ellis, A., and Smith, E. (2003). Facilities for Artificial Insemination of Beef Cattle. University of Missouiri Extension

Uza, D. V., Oyedipe, E. O., and Okwori, A. I. (1999) An Assessment of the Integration of Muturu Cattle (Bos brachyceros) into the farming System of southern Guinea Savanna of Benue State, Nigeria. Tropical Journal of Animal Science 2 (1): 107-115

Worldometer, (2023). World Population Prospects: The 2022 Revision. www.Worldometers.info

Downloads

Published

2023-11-06