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Dairy production systems and the adoption of genetic and breeding technologies in Tanzania, Kenya, India and Nicaragua

Published online by Cambridge University Press:  03 January 2017

J.M.K. Ojango ,
C.B. Wasike ,
D.K. Enahoro  and
A.M. Okeyo
J.M.K. Ojango*
Affiliation:
International Livestock Research Institute, Nairobi, Kenya
C.B. Wasike
Affiliation:
Maseno University, Maseno, Kenya
D.K. Enahoro
Affiliation:
International Livestock Research Institute, Nairobi, Kenya
A.M. Okeyo
Affiliation:
International Livestock Research Institute, Nairobi, Kenya
*
Correspondence to: J.M.K. Ojango, International Livestock Research Institute (ILRI). email: j.ojango@cgiar.org
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Summary

Development of the livestock industry and its role in poverty alleviation in developing countries depends on how adaptive the production systems are to changing global environmental and economic trends. This paper characterizes dairy production systems in India, Tanzania, Kenya and Nicaragua, and describes the genetic and breeding technologies that hold promise for the advancement of global development goals. The dairy value chain has been prioritized for development under the CGIAR research programme on Livestock and Fish in Tanzania (East Africa), India (South Asia) and Nicaragua (Latin America), while ILRI is involved in research on dairy development in Kenya. In all the countries, a large number of smallholder farmers operating mixed crop–livestock production systems play a significant role in dairy production. In Tanzania, Kenya and Nicaragua, milk is predominantly produced by cattle of genotypes that differ both across countries and among production systems within the same country. In India, buffaloes contribute to a larger proportion of the national milk than cattle. Information on productivity per animal and on optimal genotypes to utilize within the smallholder production systems of all the countries is however limited. Crossbreeding and artificial insemination were identified as the most widely utilized breeding and reproductive technologies. Only in Kenya is there a national organization conducting livestock recording and monitoring productivity, however, the proportion of the dairy cattle population enrolled in the recording system is small (<2.5 percent). In all the countries, enhanced and adequately planned use of breeding and reproductive technologies, complemented with the relevant infrastructure, is needed to sustainably increase dairy productivity. The capacities of actors in the dairy value chain need to be developed in order to properly implement and manage improvements.

Résumé

Le développement du secteur de l'élevage et son rôle dans la réduction de la pauvreté dans les pays en développement dépendent de l'adaptabilité des systèmes de production à l'évolution des contextes environnementaux et économiques. Cet article caractérise les systèmes de production laitière en Inde, Tanzanie, Kenya et Nicaragua et décrit la génétique et les méthodes de sélection avec lesquelles l'on cherche à atteindre les objectifs mondiaux de développement. La chaîne de valeur du lait a été une priorité pour le développement dans le cadre du programme de recherche du CGIAR sur l'Élevage et la Pêche en Tanzanie (Afrique Orientale), Inde (Asie du Sud) et Nicaragua (Amérique Latine), alors qu'au Kenya c'est l'ILRI qui a pris en charge la recherche sur le développement du secteur laitier. Dans tous les pays, un grand nombre de petits éleveurs exploitant des systèmes agropastoraux mixtes jouent un rôle important dans la production de lait. En Tanzanie, Kenya et Nicaragua, le lait est principalement produit par des bovins de génotypes qui diffèrent à la fois entre les pays et entre les systèmes de production dans le même pays. En Inde, les bufflonnes contribuent plus que les bovins à la production nationale de lait. Cependant, il existe un manque d'information sur la productivité par animal et sur les génotypes optimaux à utiliser dans les systèmes de production des petits exploitants de ces pays. Les croisements et l'insémination artificielle ont été identifiés comme les stratégies reproductives et de sélection les plus amplement utilisées. Seulement au Kenya il existe une organisation nationale qui procède à l'enregistrement des animaux et qui fait le suivi de la productivité, bien que le pourcentage de bovins laitiers inscrits dans ce registre est faible (<2.5 pour cent). Dans tous les pays, il s'avère nécessaire d'améliorer et de planifier adéquatement l'utilisation des techniques de reproduction et de sélection, ceci complété par l'infrastructure pertinente, afin d'accroître de façon durable la productivité laitière. Les capacités des acteurs de la chaîne de valeur du lait doivent être renforcées afin que les progrès soient convenablement mis en œuvre et gérés.

Resumen

El desarrollo del sector ganadero y su papel en la mitigación de la pobreza en países en desarrollo dependen de la capacidad de adaptación de los sistemas de producción a contextos ambientales y económicos cambiantes. Este artículo caracteriza los sistemas de producción lechera en India, Tanzania, Kenya y Nicaragua y describe la genética y las técnicas de selección con las que se pretende alcanzar los objetivos mundiales de desarrollo. Con vistas al desarrollo, se ha dado prioridad a la cadena de valor de la leche en el marco del programa de investigación CGIAR sobre Ganadería y Pesca en Tanzania (África Oriental), India (Asia Meridional) y Nicaragua (América Latina), mientras que en Kenya ha sido el ILRI quien ha asumido la investigación sobre el desarrollo del sector lechero. En todos los países, un gran número de pequeños ganaderos, que operan sistemas agropecuarios mixtos, juegan un papel destacado en la producción lechera. En Tanzania, Kenya y Nicaragua, la leche es producida principalmente por ganado bovino de genotipos que difieren entre países y de unos sistemas de producción a otros dentro del mismo país. En India, las búfalas contribuyen en mayor proporción que el ganado bovino a la producción nacional de leche. Sin embargo, es escasa la información sobre la productividad por animal y sobre los genotipos óptimos a utilizar en los sistemas de producción de los pequeños ganaderos de estos países. Los cruzamientos y la inseminación artificial fueron identificados como las estrategias reproductivas y de selección más ampliamente utilizadas. Únicamente en Kenya existe una organización nacional que lleva a cabo el registro del ganado y el seguimiento de la productividad, si bien el porcentaje de ganado bovino lechero inscrito en este registro es bajo (<2.5 por ciento). En todos los países, se necesita mejorar y planificar adecuadamente el uso de las tecnologías reproductivas y de selección, todo ello complementado por la infraestructura pertinente, para incrementar de manera sostenible la productividad lechera. Las capacidades de los actores en la cadena de valor de la leche deben ser desarrolladas con el fin de que las mejoras se implementen y se gestionen convenientemente.

Keywords

breeding technologiesdairy productiondeveloping countriesproduction laitièreméthodes de sélectionpays en développementproducción lecheratécnicas de selecciónpaíses en desarrollo
Type
Research Article
Information
Animal Genetic Resources/Resources génétiques animales/Recursos genéticos animales , Volume 59 , December 2016 , pp. 81 - 95
Copyright
Copyright © Food and Agriculture Organization of the United Nations 2016 

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References

Ahlawat, S.P.S. & Singh, P.K. 2005. Conservation and improvement of Indian cattle breeds. In Proc. VIII National Conf. on Animal Genetics and Breeding in India, pp. 1–12.Google Scholar
Birthal, P.S., Taneja, V.K. & Thorpe, W. 2006. Smallholder livestock production in India: opportunities and challenges. In Proc. an ICAR–ILRI Int. Workshop held at National Agricultural Science Complex, DPS Marg, Pusa, New Delhi-110 012, India, 31 January–1 February 2006.Google Scholar
Cecchi, G., Wint, W., Shaw, A., Marletta, A., Mattioli, R. & Robinson, T. 2010. Geographic distribution and environmental characterization of livestock production systems in Eastern Africa. Agric. Ecosyst. Environ. 135: 98–110.CrossRefGoogle Scholar
CENAGRO (Censo Nacional Agropecuario). 2012. Informe final. IV Censo Nacional Agropecuario. Managua, Nicaragua, Instituto Nacional de Información de Desarrollo (INIDE).Google Scholar
CGIAR. 2012. CGIAR Research Programs (available at http://www.cgiar.org/our-strategy/cgiar-research-programs/).Google Scholar
Chenyambuga, S.W. & Mseleko, K.F. 2009. Reproductive and lactation performances of Ayrshire and Boran crossbred cattle kept in smallholder farms in Mufindi district, Tanzania. Livest. Res. Rural Dev. 21 (available at http://www.lrrd.org/lrrd21/7/chen21100.htm).Google Scholar
Corrales, R. 2011. Population structure and phenotypic characterization as a basis for conservation and sustainable use of Reyna Creole cattle in Nicaragua . Swedish University of Agricultural Sciences (SLU), Uppsala, Sweden. (PhD thesis).Google Scholar
Devendra, C. 2001. Smallholder dairy production systems in developing countries: characteristics, potential and opportunities for improvement – review. Asian-Austr. J. Anim. Sci. 14: 104–113.CrossRefGoogle Scholar
Duclos, D., Gokhale, S., Bacilieri, R. & Ducrocq, D. 2008. Simplified milk-recording protocols adapted to low-input environments with very small herd size. Animal 2: 160–166.CrossRefGoogle ScholarPubMed
FAOSTAT. 2014. FAO Statistical database (available at http://faostatfaoorg).Google Scholar
Galetto, A. & Berra, C. 2011. Dairy development in Nicaragua and farmer cooperatives in the Matagalpa region. Contact author. In 21st Annu. World Symp. on Int. Food & Agribusiness Management Association, Franckfurt, Germany, pp. 1–17.Google Scholar
Gandhi, R.S. & Sharma, A. 2005. Breeding strategies for self sustainance of Indian Cattle. In Proc. VIII National Conf. on Animal Genetics and Breeding in India, pp. 29–37.Google Scholar
Gaur, G.K., Garg, R.C. & Singh, K. 2005. Experiences of crossbreeding in cattle in India. In Proc. VIII National Conf. on Animal Genetics and Breeding in India, Mathura, India, pp. 38–49.Google Scholar
Gautam, , Dalal, R.S. & Pathak, V. 2010. Indian dairy sector: time to revisit operation flood. Livest. Sci. 127: 164–175 (available at http://dx.doi.org/10.1016/j.livsci.2009.09.010).CrossRefGoogle Scholar
Gillah, K.A., Kifaro, G.C. & Madsen, J. 2013. Management and production levels of cross-bred dairy cattle in Dar es Salaam and Morogoro urban and peri urban areas. Livest. Res. Rural Dev. 25 (available at http://www.lrrd.org/lrrd25/9/gill251.htm).Google Scholar
Gillah, K.A., Kifaro, G.C. & Madsen, J. 2014. Effects of pre partum supplementation on milk yield, reproduction and milk quality of crossbred dairy cows raised in a peri urban farm of Morogoro town Tanzania. Livest. Res. Rural Dev. 26 (available at http://www.lrrd.org/lrrd26/1/gill260.htm).Google Scholar
Global Harvest Initiative. 2013. The 2013 Global Agricultural Productivity (GAP) Report. The Global Harvest Initiative, Washington, DC (available at http://globalharvestinitiative.org/GAP/2013_GAP_Report_BOOK_ONLINE.pdf).Google Scholar
Hegde, N.G. (BAIF). 2006a. Dairy Development for poverty alleviation and environmental protection (available at http://www.baif.org.in/Scientific_Papers_livestock_development.asp).Google Scholar
Hegde, N.G. (BAIF). 2006b. Livestock Devt for Sustainable Livelihood of Small Farmers. In Souvenir of the 39th Annu. General Meeting and 48th National Symp. on Energising Rural India – A Challenge to Livestock Industry. Compound Livestock Feed Manufactures Association of India (CLFMA), Manesar, Haryana, pp. 50–63 (available at http://www.google.co.id/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&uact=8&ved=0CCIQFjAA&url=http://www.baif.org.in/doc/Livestock_Devt/Livestock%20Devt%20for%20Sustainable%20Livelihood%20of%20Small%20Farmers.doc&ei=ovYgVNHZF).Google Scholar
Herrero, M., Grace, D., Njuki, J., Johnson, N., Enahoro, D., Silvestri, S. & Rufino, M.C. 2013. The roles of livestock in developing countries. Animal 7: 3–18.CrossRefGoogle ScholarPubMed
Holmann, F., Mtimet, N., Mora, M.A. & van der Hoek, R. 2014. Dual-purpose milk and beef value chain development in Nicaragua: past trends, current status and likely future directions. Nairobi, Kenya (available at https://cgspace.cgiar.org/bitstream/handle/10568/66467/PR_situation_analysis_nicaragua_web.pdf?sequence=4).Google Scholar
IFAD. 2014. Investing in rural people in Nicaragua (available at http://www.ruralpovertyportal.org).Google Scholar
IGAD. 2013. Centre for pastoral areas and livestock development: the contribution of livestock to the Kenyan economy ICPALD. Nairobi, Kenya (available from: 4/CLE/8/2013. http://igad.int/attachments/714_TheContributionofLivestocktotheKenyanEconomy.pdf).Google Scholar
Ilatsia, E.D., Muasya, T.K., Muhuyi, W.B. & Kahi, A.K. 2007. Milk production and reproductive performance of Sahiwal cattle in semi arid Kenya. Trop. Sci. 47: 120–127.CrossRefGoogle Scholar
ILRI. 2004. The Kenya Smallholder Dairy Project (available at http://www.smallholderdairy.org/).Google Scholar
ILRI. 2008. The East Africa Dairy Development (EADD) project (available at http://www.ilri.org/EADD).Google Scholar
ILRI, CIAT, ICARDA & Worldfish Centre. 2011. CGIAR Research Program 3.7; More Meat, Milk, and Fish by and for the Poor (CGIAR Research Program 3.7): A proposal submitted to the CGIAR Consortium Board by ILRI on behalf of CIAT, ICARDA and WorldFish Centre. Nairobi, Kenya (available at https://cgspace.cgiar.org/handle/10568/3248).Google Scholar
Joshi, B.K. & Singh, A. 2005. Indigenous cattle Milch breeds – their potential and improvement programs. In Proc. VIII National Conf. on Animal Genetics and Breeding in India, India, pp. 21–28.Google Scholar
Kahi, A.K. 2000. Genetic and economic aspects of breeding for dairy production in Kenya. Bueren, Stuttgart, Germany, Verlag Grauer.Google Scholar
Kahi, A.K., Thorpe, W., Nitter, G., Van Arendonk, J.A.M. & Gall, C.F. 2000. Economic evaluation of crossbreeding for dairy production in a pasture based production system in Kenya. Livest. Prod. Sci. 65: 167–184.CrossRefGoogle Scholar
Kahi, A.K., Nitter, G. & Gall, C.F. 2004. Developing of breeding schemes for pasture based dairy production systems in Kenya. II. Evaluation of alternative objectives and schemes using a two- tier open nucleus and young bull system. Livest. Prod. Sci. 88: 179–192.CrossRefGoogle Scholar
Kaijage, J.T. 2011. Small scale dairy production and marketing in the Southern highlands of Tanzania. In The 5th National Dairy Development Conf., Mwanza, Tanzania, p. 139.Google Scholar
Kaimba, G.K., Njehia, B.K. & Guliye, A.Y. 2011. Effects of cattle rustling and household characteristics on migration decisions and herd size amongst pastoralists in Baringo District, Kenya. Pastoralism: Res. Policy Pract. 1: 18.CrossRefGoogle Scholar
KALRO. 2015. The Kenya Agricultural and Livestock Research Organization (available at http://www.kalro.org/livestock_more).Google Scholar
Kanuya, N.L., Kessy, B.M., Bittegeko, S.B.P., Mdoe, N.S. & Aboud, A.A. 2000. Suboptimal reproductive performance of dairy cattle kept in smallholder herds in a rural highland area of northern Tanzania. Prev. Vet. Med. 45: 183–192.CrossRefGoogle Scholar
Kanuya, N.L., Matiko, M.K., Kessy, B.M., Mgongo, F.O., Ropstad, E. & Reksen, O. 2006. A study on reproductive performance and related factors of zebu cows in pastoral herds in a semiarid area of Tanzania. Theriogenology 65: 1859–1874.CrossRefGoogle Scholar
Katjiuongua, H. & Nelgen, S. 2014. Tanzania smallholder dairy value chain development: situation analysis and trends. Nairobi, Kenya (available at https://cgspace.cgiar.org/bitstream/handle/10568/68513/PR_Tanzania.pdf?sequence=1).Google Scholar
KEVEVAPI. 2014. Kenya Veterinary Vaccines Production Institute, Nairobi, Kenya (available at http://www.kevevapi.org/index.php/about-us/item/4-livestock-sector-contribution).Google Scholar
Kios, D., van Marle-Köster, E. & Visser, C. 2012. Application of DNA markers in parentage verification of Boran cattle in Kenya. Trop. Anim. Health Prod. 44: 471–476.CrossRefGoogle ScholarPubMed
KNBS, K. N. B. of Statistics. 2014. Kenya National Bureau of Statistics Kenya Facts and Figures, 2014. Nairobi, Kenya, Kenya National Bureau of Statistics.Google Scholar
Kosgey, I.S., Mbuku, S.M., Okeyo, A.M., Amimo, J., Philipsson, J. & Ojango, J.M.K. 2011. Institutional and organizational frameworks for dairy and beef cattle recording in Kenya: a review and opportunities for improvement. Anim. Genet. Resour. Food Agric. Org. U.N. 48: 1–11.CrossRefGoogle Scholar
Kumaresan, A., Prabhakaran, P.P., Bujarbaruah, K.M., Pathak, K.A., Chhetri, B. & Ahmed, S.K. 2009. Reproductive performance of crossbred dairy cows reared under traditional low input production system in the eastern Himalayas. Trop. Anim. Health Prod. 41: 71–78.CrossRefGoogle ScholarPubMed
MAGFOR (Ministerio Agropecuario y Forestal). 2012. Informe final. Cuarto Censo Nacional Agropecuario. Managua, Nicaragua, MAGFOR.Google Scholar
Makoni, N., Mwai, R., Redda, T., van der Zijpp, A. & van der Lee, J. 2013. White gold: opportunities for dairy sector development collaboration in East Africa. Wageningen (available at http://library.wur.nl/WebQuery/wurpubs/454917).Google Scholar
MLFD. 2011a. Livestock sector development programme. Dar Es Salaam, Tanzania (available at http://www.tanzania.go.tz/egov_uploads/documents/Livestock_Programe_sw.pdf).Google Scholar
MLFD. 2011b. The Tanzania Dairy Industry: status, opportunities and prospects. In 7th African Dairy Conf. and Exhibition held at MovenPick Palm Hotel. Ministry of Livestock and Fisheries development Tanzania, Dar Es Salaam, Tanzania, 25–27 May 2011.Google Scholar
Mpofu, N. 2014. Livestock production and development: challenges and opportunities for smallholder farmers in Africa. In State of the African Farmer. Heifer International, pp. 42–50 (available at http://www.heifer.org/join-the-conversation/blog/2014/October/state-of-the-african-farmer.html).Google Scholar
Msanga, N.Y. & Bee, J.K.A. 2006. The performance of Friesian x Boran bulls managed extensively under agro-pastoralism with indigenous Tanzanian zebu. Livest. Res. Rural Dev. 18 (available at http://www.lrrd.org/lrrd18/2/msan180).Google Scholar
Msanga, Y.N., Bryant, M.J., Rutam, I.B., Minja, F.N. & Zylstra, L. 2000. Effect of environmental factors and of the proportion of Holstein blood on the milk yield and lactation length of crossbred dairy cattle on smallholder farms in north-east Tanzania. Trop. Anim. Health Prod. 32: 23–31.CrossRefGoogle ScholarPubMed
Msangi, B.S.J., Bryant, M.J. & Thorne, P.J. 2005. Some factors affecting variation in milk yield in crossbred dairy cows on smallholder farms in north-east Tanzania. Trop. Anim. Health Prod. 37: 403–412.CrossRefGoogle ScholarPubMed
Muasya, T.K. 2005. Genetic evaluation of the dairy cattle herd at the University of Nairobi Vetrinary Farm. Kenya, University of Nairobi.Google Scholar
Muasya, T.K. 2013. Genetic improvement of dairy cattle under different herd environments in Kenya. Berlin, Humboldt-University of Berlin, Verlag Dr. Köster.Google Scholar
Mujibi, F.D.N., Ojango, J., Rao, J.E.O., Karanka, T., Kihara, A., Marete, A., Baltenweck, I., Poole, J., Rege, J.E.O., Gondro, C., Weerasinghe, W.M.S.P., Gibson, J.P. & Okeyo, A.M. 2014. Use of high density SNP genotypes to determine the breed composition of cross bred dairy cattle in smallholder farms: assessment of reproductive and health performance. In Proc. 10th World Congress on Genetics Applied to Livestock Production, pp. 4–6.Google Scholar
Mukisira, E.A. 2002. Dairy recording in Kenya. In Trivedi, K.R., ed. Int. Workshop on Animal Recording for Smallholders in Developing Countries, 20–23 October 1997, pp. 147–153. Anand, India, ICAR Technical Series 1.Google Scholar
Muraguri, G.R., McLeod, A. & Taylor, N. 2004. Estimation of milk production from smallholder dairy cattle in the coastal lowlands of Kenya. Trop. Anim. Health Prod. 36: 673–684.CrossRefGoogle ScholarPubMed
Muriuki, H.G. 2011. Dairy development in Kenya. FAO, Rome, Italy.Google Scholar
Mwacharo, J.M., Ojango, J.M.K., Baltenweck, I., Wright, I., Staal, S., Rege, J.E.O. & Okeyo, A.M. 2009. Livestock productivity constraints and opportunities for investment in science and technology. Nairobi, Kenya, ILRI.Google Scholar
Mwambene, P.L., Chawala, A., Illatsia, E., Das, S.M., Tungu, B. & Loina, R. 2014. Selecting indigenous cattle populations for improving dairy production in the Southern Highlands and Eastern Tanzania. Livest. Res. Rural Dev. 26: Article 6 (available at http://www.lrrd.org/lrrd26/3/mwam26046.html).Google Scholar
National Bureau of Statistics Tanzania. 2014. Statistical Abstract 2013. Dar Es Salaam, Tanzania (available at http://www.nbs.go.tz/nbs/StasticalAbstract/StatisticalAbstractReport2013.pdf).Google Scholar
NDDB, N. D. D. B. I. 2013. National Accounts Statistics (available at http://www.nddb.org/information/stats/GDPcontrib).Google Scholar
NDDB, N. D. D. B. I. 2014. National Dairy Plan, India (available at http://www.nddb.coop/sites/default/files/pdfs/NDPBrochure-Eng-singlepage%29.pdf).Google Scholar
NPBBDD. 2014. National Programme for Bovine Breeding and Dairy Development, India (available at http://www.dairyknowledge.in/content/01-national-programme-bovine-breeding-and-dairy-development-npbbdd-0).Google Scholar
Ogutu, C., Kurwijila, L. & Omore, A. 2014. Review of successes and failures of dairy value chain development interventions in Tanzania. International Livestock Research Institute (ILRI), Nairobi, Kenya.Google Scholar
Ojango, J.M.K. & Pollott, G.E. 2001. Genetics of milk yield and fertility traits in Holstein-Friesian cattle on large-scale Kenyan farms. J. Anim. Sci. 79: 1742–1750.CrossRefGoogle ScholarPubMed
Ojango, J.M.K. & Pollott, G.E. 2004. The productivity of Holstein–Friesian dairy cattle in different farming systems of Kenya. Int. J. Agric. Rural Dev. 5: 145–155.Google Scholar
Ojango, J.M.K., Marete, A., Mujibi, D., Rao, J., Pool, J., Rege, J.E.O., Gondro, C., Weerasinghe, W.M.S.P., Gibson, J.P. & Okeyo, A.M. 2014. A novel use of high density SNP assays to optimize choice of different crossbred dairy cattle genotypes in small-holder systems in East Africa. In Proc. 10th World Congress of Genetics Applied to Livestock Production, pp. 2–4.Google Scholar
Okeyo, A.M., Kajume, J.K., Mosi, R.O., Okila, E.V.A., Gathuma, J.M., Kiere, S.M.N., Agumbah, G., Kuria, J.N. & Chema, S. 2000. Artificial Insemination a bio-technological tool for genetic improvement of Kenyan dairy cattle herds: historical perspective, current status, challenges and way forward in the next millenium. A Kenya Country Paper. In Symp. on Dairy Cattle Breeding in East Africa: Sustainable Artificial Insemination Service. Kenya Agricultural Research Institute (KARI), Headquarters, Kaptagat Road, Nairobi, 20–21 March 2000.Google Scholar
Ouma, R., Jakinda, D., Magati, P. & Rege, J.E.O. 2014. Benchmarking the Kenyan Artificial Insemination service sub-industry. A study for the Kenya Markets Trust and the Competition Authority of Kenya. Kenya Markets Trust, Nairobi, Kenya.Google Scholar
Peeler, E.J. & Omore, A.O. 1997. Manual of livestock production systems in Kenya. Nairobi, Kenya, KARI/DFID National Agricultural Research Project II.Google Scholar
Rao, C.K., Bachhman, F., Sharma, V., Venkataramaiah, P., Panda, J. & Rathinam, R. 2014. Smallholder dairy value chain development in India and select States (Assam and Bihar): past situation analysis and trends. International Livestock Research Institute (ILRI), Nairobi, Kenya.Google Scholar
Robinson, T.P., Thornton, P.K., Franceschini, G., Kruska, R.L., Chiozza, F., Notenbaert, A., Cecchi, G., Herrero, M., Epprecht, M., Fritz, S., You, L., Conchedda, G. & See, L. 2011. Global livestock production systems. Food and Agriculture Organization of the United Nations (FAO) and International Livestock Research Institute (ILRI). FAO, Rome, Italy.Google Scholar
Seré, C., van der Zijpp, A., Persley, G. & Rege, E. 2008. Dynamics of livestock production systems, drivers of change and prospects for animal genetic resources. Anim. Genet. Resour. Inf. Bull. 4: 1–27.Google Scholar
Sethi, R.K. & Kala, S.N. 2005. Buffalo wealth and genetic improvement programmes in India. In Proc. of the VIII National Conf. on Animal Genetics and Breeding in India.Google Scholar
Shekhar, C., Thakur, S.S. & Shelke, S.K. 2010. Effect of exogenous fibrolytic enzymes supplementation on milk production and nutrient utilization in Murrah buffaloes. Trop. Anim. Health Prod. 42: 1465–1470.CrossRefGoogle ScholarPubMed
Staal, S., Owango, M., Muriuki, H., Kenyanjui, M., Lukuyu, B., Njoroge, L., Njubi, D., Baltenweck, I., Musembi, F., Bwana, O., Muriuki, K., Gichungu, G., Omore, A. & Thorpe, W. 2001. Dairy systems characterisation of the greater Nairobi milk shed. Nairobi, Kenya, ILRI.Google Scholar
Swai, E.S., Kyakaisho, P. & Ole-Kawanara, M.S. 2007. Studies on the reproductive performance of crossbred dairy cows raised on smallholder farms in eastern Usambaramountains, Tanzania. Livest. Res. Rural Dev. 19: Article 61 (available at http://www.lrrd.org/lrrd19/5/swai19061.htm).Google Scholar
Thornton, P., Herrero, M., Freeman, A., Mwai, O., Rege, E., Jones, P. & Mcdermott, J. 2007. Vulnerability, climate change and livestock – research opportunities and challenges for poverty alleviation. Open Access J. published by ICRISAT 4: 1–23.Google Scholar
Thornton, P.K. 2010. Livestock production: recent trends, future prospects. Philos. Trans. R. Soc.: Biol. Sci. 365: 2853–2867.CrossRefGoogle ScholarPubMed
Thorpe, W., Kang'ethe, P., Rege, J.E.O., Mosi, R.O., Mwandotto, B.A.J. & Njuguna, P. 1993. Crossbreeding Ayrshire, Friesian and Sahiwal cattle for milk yield and preweaning traits of progeny in the semiarid tropics of Kenya. J. Dairy Sci. 76: 2001–2012.CrossRefGoogle Scholar
Valsalan, J., Chakravarty, A.K., Patil, C.S., Dash, S.K., Mahajan, A.C., Kumar, V. & Vohra, V. 2014. Enhancing milk and fertility performances using selection index developed for Indian Murrah buffaloes. Trop. Anim. Health Prod. 46: 967–974.CrossRefGoogle ScholarPubMed
World Bank. 2008. World development report. Agriculture for development. The World Bank, Washington, DC.Google Scholar
Zambrano, S., Contreras, G., Pirela, M., Cañas, H., Olson, T. & Landaeta-Hernández, A. 2006. Milk yield and reproductive performance of crossbred Holstein × Criollo Limonero cows. Revista Científica 16: 155–164.Google Scholar