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ASSESSING LIVESTOCK WATER PRODUCTIVITY IN MIXED FARMING SYSTEMS OF GUMARA WATERSHED, ETHIOPIA

Published online by Cambridge University Press:  13 July 2017

MENGISTU ALEMAYEHU*
Affiliation:
Livestock Research Directorate, Ethiopian Institute of Agricultural Research, P.O. Box 2005, Addis Ababa, Ethiopia Department of Crop and Animal Sciences, Humboldt University of Berlin, Philippstr. 13, Haus 9, 10115, Berlin, Germany
TILAHUN AMEDE
Affiliation:
International Livestock Research Institute/International Water Management Institute (ILRI/IWMI), P.O. Box 5689, Addis Ababa, Ethiopia
DON PEDEN
Affiliation:
International Livestock Research Institute/International Water Management Institute (ILRI/IWMI), P.O. Box 5689, Addis Ababa, Ethiopia
TESFAYE KUMSA
Affiliation:
Livestock Research Directorate, Ethiopian Institute of Agricultural Research, P.O. Box 2005, Addis Ababa, Ethiopia
MICHAEL H. BÖHME
Affiliation:
Department of Crop and Animal Sciences, Humboldt University of Berlin, Unter den Linden 6, 10099, Berlin, Germany
KURT J. PETERS
Affiliation:
Department of Crop and Animal Sciences, Humboldt University of Berlin, Philippstr. 13, Haus 9, 10115, Berlin, Germany
*
§Corresponding author. Email: mengistualem@yahoo.com

Summary

A monitoring study was carried out in Gumara watershed, upper Blue Nile basin, with the objective of evaluating livestock water productivity (LWP) using a life cycle assessment method. Sixty two smallholder farmers were selected for the study implemented between November 2006 and February 2008. Data on crop and livestock production were collected to allow assessment of livestock water productivity. Study sites were situated in three different rainfed mixed crop/livestock farming systems; barley/potato based system (BPS), tef/finger-millet based system (TMS), and rice/noug based system (RNS). LWP was found to be significantly lower (p < 0.01) in RNS (0.057 USD m−3 water) than in TMS (0.066 USD m−3 water) or in BPS (0.066 USD m−3 water). Notably, water requirement per kg live weight of cattle increased towards the lower altitude area (in RNS) mainly because of increased evapo-transpiration. As a result, 20% more water was required per kg live weight of cattle in the low ground RNS compared to BPS situated in the upstream parts of the study area. Cattle herd management that involved early offtake increased LWP by 28% over the practice of late offtake. Crop water productivity expressed in monetary units (0.39 USD m−3 water) was higher than LWP (0.063 USD m−3 water) across the mixed farming systems of Gumara watershed. Strategies for improving LWP, from its present low level, could include keeping only the more productive animals, increasing pasture productivity and linking production to marketing. These strategies would also ease the imbalance between the existing high livestock population and the declining carrying capacity of natural pasture.

Type
Research Article
Copyright
Copyright © Cambridge University Press 2017 

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References

REFERENCES

Abereham, A. (2013). Watershed modelling and uncertainty analysis on Gumara watershed. M.Sc. thesis, Addis Ababa University, Ethiopia, 96.Google Scholar
Allen, R. G., Pereira, L. S., Raes, D. and Smith, M. (1998). Crop evapo-transpiration guidelines for computing crop water requirements. FAO Irrigation and Drainage Paper 56.Google Scholar
Bebe, B. O. (2003). Herd dynamics of smallholder dairy in the Kenyan highlands. Ph.D. thesis, Wageningen University, The Netherlands.Google Scholar
Breugel, P. V., Herrero, M., de Steeg, J. V. and Peden, D. (2010). Livestock water use and productivity in the Nile Basin. Ecosystems 13:205221.Google Scholar
Descheemaeker, K., Amede, T. and Haileselassie, A. (2010). Improving water productivity in mixed crop-livestock farming systems of sub-Saharan Africa. Agricultural Water Management 97:579586.Google Scholar
Descheemaeker, K., Amede, T., Haileselassie, A. and Bossio, D. (2011). Analysis of gaps and possible interventions for improving water productivity in crop livestock systems of Ethiopia. Experimental Agriculture 47 (S1):2138.Google Scholar
FAO (1986). Natural resource management and environment department. FAO Corporate Document Repository, Rome, Italy.Google Scholar
FAO (1992). Sustainable livestock production in the mountain agro-ecosystem of Nepal. FAO Animal Production and Health Paper No. 105, Rome, Italy.Google Scholar
Fenta, D. (2009). Satellite remote sensing for soil moisture estimation, Gumara catchment, Ethiopia. M.Sc. thesis, International Institute for Geo-Information Science and Earth Observation, Enschede, The Netherlands.Google Scholar
Gebreselassie, S., Peden, D., Haileselassie, A. and Mpairwe, D. (2009). Factors affecting livestock water productivity: Animal scale analysis using previous cattle feeding trials in Ethiopia. The Rangeland Journal 31:251258.Google Scholar
Gizaw, S., Tegegne, A., Gebremedhin, B. and Hoekstra, D. (2010). Sheep and goat production and marketing systems in Ethiopia: Characteristics and strategies for improvement. IPMS (Improving Productivity and Market Success) of Ethiopian Farmers Project Working Paper 23. ILRI (International Livestock Research Institute), Nairobi, Kenya, 58p.Google Scholar
Haile, A., Joshi, B.K., Ayalew, W., Tegegne, A. and Singh, A. (2009). Genetic evaluation of Ethiopian Boran cattle and their crosses with Holestein Friesian in central Ethiopia: Milk production traits. Animal 3:486493.Google Scholar
Haileselassie, A., Blummel, M., Clements, F., Descheemaeker, K., Amede, T., Samireddypalle, A., Sreedhar Acharya, N., Venkatar Radha, N., Ishaq, S., Samad, M., Murty, M. V. R. and Khan, M. A. (2011). Assessment of the livestock-feed and water nexus across a mixed crop-livestock system's intensification gradient: An example from the Indo-Ganga basin. Experimental Agriculture 47 (S1):113132.Google Scholar
Haileselassie, A., Peden, D., Gebreselassie, S., Amede, T. and Descheemaeker, K. (2009). Livestock water productivity in mixed crop–livestock farming systems of the Blue Nile basin: Assessing variability and prospects for improvement. Agricultural Systems 102:3340.Google Scholar
Haileselassie, A., Priess, J., Veldkamp, E. and Lesschen, J. P. (2006). Smallholders' soil fertility management in the central highlands of Ethiopia: Implications for nutrient stocks, balances and sustainability of agroecosystems. Nutrient Cycling in Agroecosystems 75:135146.Google Scholar
Hawando, T. (2000). Desertification in Ethiopian highlands. RALA Report No. 200, 75–86.Google Scholar
Koehler, A. (2008). Water use in LCA: Managing the planet's fresh water resources. International Journal of Life Cycle Assessment 13:451455.Google Scholar
Lupwayi, N. Z., Girma, M. and Haque, I. (2000). Plant nutrient contents of cattle manures from small-scale farms and experimental stations in Ethiopian highlands. Agriculture, Ecosystems and Environment 78:5763.Google Scholar
Mekonnen, S., Descheemaeker, K., Tolera, A. and Amede, T. (2011). Livestock water productivity in a water stressed environment in northern Ethiopia. Experimental Agriculture 47 (S1):8598.Google Scholar
Molden, D., Oweis, T., Steduto, P., Bindraban, P., Hanjra, M. and Kijne, J. (2010). Improving agricultural water productivity: Between optimism and caution. Agricultural Water Management 97:528535.Google Scholar
Moll, H. A. J. (2005). Costs and benefits of livestock systems and the role of market and non-market relationships. Agricultural Economics 32:181193.Google Scholar
Murwira, K. H., Swift, M. J. and Frost, P. G. H. (1995). Manure as a key resource in sustainable agriculture. In Livestock and Sustainable Nutrient Cycling in Mixed Farming Systems of Sub-Saharan Africa, vol. II: Technical Papers. Proceedings of an International Conference held in Addis Ababa, Ethiopia, 22–26 November, 1994, 131148 (Eds Powell, J. M., Fernandez-Rivera, S. and Williams, T. O.), Addis Ababa, Ethiopia: ILCA (International Livestock Centre for Africa).Google Scholar
National Research Council (NRC) (2007). Nutrient Requirements of Horses, 6th revised edn. Washington DC, USA: National Academy Press.Google Scholar
Negassa, A. and Jabbar, M. (2008). Livestock ownership, commercial off-take rates and their determinants in Ethiopia. Research Report 9. International Livestock Research Institute, Nairobi, Kenya.Google Scholar
NRC (2000). Nutrient Requirements of Beef Cattle, 7th revised edn., update 2000, Washington DC, USA: National Academy Press.Google Scholar
NRC (2001). Nutrient Requirements of Dairy Cattle. 7th revised edn. Washington DC, USA: National Academy Press.Google Scholar
Nsahlai, I. V., Osuji, P. O. and Umunna, N. N. (1997). Digestible organic matter requirements of Ethiopian Menz sheep: Model and application. Journal of Applied Animal Research 11:83100.Google Scholar
Peden, D., Taddesse, G. and Haileslassie, A. (2009). Livestock water productivity: Implications for sub-Saharan Africa. The Rangeland Journal 31:187193.Google Scholar
Pelletier, N., Lammers, P., Stender, D. and Pirog, R. (2010). Life cycle assessment of high- and low-profitability commodity and deep-bedded nich swine production systems in the Upper Midwestern United States. Agricultural Systems 103:599608.Google Scholar
Peters, G. M., Wiedemann, S. G., Rowley, H. V. and Tucker, R. W. (2010). Accounting for water use in Australian red meat production. The International Journal of Life Cycle Assessment 15:311320.Google Scholar
SAS (2002). Statistical Analysis System, STAT User's Guide, Version 9. Cary, NC, USA: SAS Institute, Inc.Google Scholar
Singh, O., Sharma, A., Singh, R. and Shah, T. (2004). Virtual water trade in dairy economy. Irrigation water productivity in Gujarat. Economical and Political Weekly 39:34923497.Google Scholar
Steinfeld, H., Gerber, P., Wassenaar, T., Castel, V., Rosales, M. and de Haan, C. (2006). Livestock's Long Shadow: Environmental Issues and Options, 377. Rome, Italy: Food and Agriculture Organization (FAO).Google Scholar
Tamene, L. and Vlek, P. (2008). Soil erosion in Ethiopia: Patterns, determinants and management implications. In Impact of Land Use Change on Soil Resources, 73100 (Eds Braimoh, A. K. and Vlek, P. L. G.). Dordrecht, The Netherlands: Springer Science 7 Business Media B.V.Google Scholar
Udén, P. and Van Soest, P. J. (1982). Comparative digestion of timothy (Phleurn pratense) fibre by ruminants, equines and rabbits. British Journal of Nutrition 41:267272.Google Scholar
Wallace, J. S. (2000). Increasing agricultural water use efficiency to meet future food production. Agriculture, Ecosystems and Environment 82:105119.Google Scholar
Zhang, X., Zwiers, F. W., Hegerl, G. C., Lambert, F. H., Gillett, N. P., Solomon, S., Stott, P. A. and Nozawa, T. (2007). Detection of human influence on twentieth-century precipitation trends. Nature 448:461466.Google Scholar
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