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The ‘One cow per poor family’ programme: Current and potential fodder availability within smallholder farming systems in southwest Rwanda

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  • Klapwijk, C.J.
  • Bucagu, C.
  • van Wijk, M.T.
  • Udo, H.M.J.
  • Vanlauwe, B.
  • Munyanziza, E.
  • Giller, K.E.

Abstract

Livestock is an essential component of smallholder farming systems in the East African highlands. The ‘One cow per poor family’ programme was initiated in Rwanda as part of a poverty alleviation strategy, aiming to increase the livestock population. A four month-study was conducted in Umurera village (Simbi sector), southern Rwanda with the objectives to (1) quantify the on-farm fodder availability, (2) quantify the amount and quality of fodder on offer to livestock, (3) analyse potential fodder availability under five future scenarios and (4) evaluate the implications and feasibility of the programme. Farmers’ surveys, measurements of field sizes, together with daily measurements of fodder on offer, milk production and fodder refusals were conducted. Feeds used were diverse, comprising grasses (53%), banana plant parts (25%), residues of several crops (9%) and other plants (10%). Herbs collected from valley-bottoms, uncultivated grasses and crop residues were predominant fodder types on poorer (Resource group 1 – RG1) farms while Pennisetum and Calliandra were predominant fodder types for moderate (RG2) and better resource endowed (RG3) farms. The amount of fodder on offer for cattle ranged from 20 to 179kg fresh weight animal−1day−1 (9–47kg DM). The milk yield ranged between 1.3 and 4.6Lday−1. The amount of Pennisetum and Calliandra fodder available decreased in the dry season with a concomitant increase in reliance on banana leaves and pseudo-stems. The poorest farmers (RG1) were not able to feed a local cow under all scenarios. RG2 farmers can sustain a local cow during both seasons when using all possible fodder resources, but can sustain a European cow under just two scenarios during the rainy season. RG3 farmers can feed a European cow during the rainy season under all scenarios and for four scenarios during the dry season. We conclude that the ‘One cow per poor family’ programme needs to be adjusted to increase its effectiveness. Our main recommendations are to shift to livestock that require less fodder, for example local cattle or small ruminants such as goats.

Suggested Citation

  • Klapwijk, C.J. & Bucagu, C. & van Wijk, M.T. & Udo, H.M.J. & Vanlauwe, B. & Munyanziza, E. & Giller, K.E., 2014. "The ‘One cow per poor family’ programme: Current and potential fodder availability within smallholder farming systems in southwest Rwanda," Agricultural Systems, Elsevier, vol. 131(C), pages 11-22.
  • Handle: RePEc:eee:agisys:v:131:y:2014:i:c:p:11-22
    DOI: 10.1016/j.agsy.2014.07.005
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    References listed on IDEAS

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    1. Ansoms, An & Verdoodt, Ann & Van Ranst, Eric, 2008. "The inverse relationship between farm size and productivity in rural Rwanda," IOB Discussion Papers 2008.09, Universiteit Antwerpen, Institute of Development Policy (IOB).
    2. Mugabo, Josaphat R., 2003. "Farm-Level Incentives For Fertilizer Use In Rwanda'S Kigali Rural Province: A Financial Analysis," Graduate Research Master's Degree Plan B Papers 11109, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    3. Giller, Ken E. & Rowe, Ed C. & de Ridder, Nico & van Keulen, Herman, 2006. "Resource use dynamics and interactions in the tropics: Scaling up in space and time," Agricultural Systems, Elsevier, vol. 88(1), pages 8-27, April.
    4. Hall, Andy & Sulaiman, Rasheed & Bezkorowajnyj, Peter, 2008. "Reframing technical change: Livestock Fodder Scarcity Revisited as Innovation Capacity Scarcity: Part 2. A Framework for Analysis," MERIT Working Papers 2008-003, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
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    2. S., Sujatha & Bhat, Ravi, 2015. "Resource use and benefits of mixed farming approach in arecanut ecosystem in India," Agricultural Systems, Elsevier, vol. 141(C), pages 126-137.
    3. Nilsson, Pia & Backman, Mikaela & Bjerke, Lina & Maniriho, Aristide, 2017. "One cow per poor family: effects on consumption and crop production in Rwanda," Working Paper Series in Economics and Institutions of Innovation 462, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    4. Nilsson, Pia & Backman, Mikaela & Bjerke, Lina & Maniriho, Aristide, 2019. "One cow per poor family: Effects on the growth of consumption and crop production," World Development, Elsevier, vol. 114(C), pages 1-12.
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