Abstract
Maize (Zea Mays) is the major food crop in Kenya. Its production variation has devastating consequences on people’s basic food availability. This study will investigate the relationships between climate variability and maize yield using observed weather data from Kenya Meteorological Department and national annual maize yield data from the Ministry of Agriculture for the period 1979–2012. Mann–Kendall test was used to detect a trend in precipitation, minimum, and maximum temperature. Location-wise correlation method was performed between each climate variable and maize yield in every station. Stations which had significant correlations were aggregated to form climate indices which were used to build multiple linear regression model. The results revealed that maize yield in Kenya was significantly decreasing at a rate of 0.07 tons/ha/decade at the 95% confidence level accompanied by high inter-annual variation, while world average was increasing at a rate of 0.6 tons/ha/decade. This reduction was accredited to a significant increasing temperature and reduction in seasonal rainfall. Empirical relationship derived from multiple regression models indicates that 67.53% of yield variance was attributed to varying seasonal climate indices. Precipitation is the dominant predictor accounting to 49.73% of yield variance. There is a significant correlation of 0.78 between the modeled and observed yield hence high credibility of the statistical model. A Continuous decrease of maize yield is expected under the influence of climate change which threatens national food security if effective measures to raise maize production are not endorsed. These findings form a framework for designing policies geared towards the reduction of climate-related vulnerability in many parts of the world.
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References
Amissah-Arthur, A., Jagtap, S., & Rosenzweig, C. (2002). Spatio-temporal effects of El Niño events on rainfall and maize yield in Kenya. International Journal of Climatology, 22(15), 1849–1860.
Ayugi, BO., Wang, W., Chepkemoi, D. (2016). Analysis of spatial and temporal patterns of rainfall variations over Kenya. Journal of Environment and Earth Science, 6(11), 69–83.
Barnabás, B., Jäger, K., & Fehér, A. (2008). The effect of drought and heat stress on reproductive processes in cereals. Plant, Cell and Environment, 31(1), 11–38.
Bita, C., & Gerats, T. (2013). Plant tolerance to high temperature in a changing environment: scientific fundamentals and production of heat stress-tolerant crops. Frontiers in plant science, 4, 273.
Boko, M., I. Niang, A. Nyong, C. Vogel, A. Githeko, M. Medany, B. Osman-Elasha, R.Tabo, and P. Yanda, 2007: Africa. In M.L. Parry, O.F. Canziani, J.P. Palutikof, P.J. van der Linden, & C.E. Hanson (Eds.), Climate Change 2007: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (pp. 433–467). Cambridge University Press, Cambridge and New York.
Conway, G. (2009). The science of climate change in Africa: impacts and adaptation. Grantham Institute for Climate Change Discussion Paper, 1, 24.
Duvick, D.N. (2005). The contribution of breeding to yield advances in maize (Zea mays L.) Advances in agronomy, 86, 83–145.
FAO. (2008). Introduction to the basic concepts of food security. Rome: FAO.
FAO. (2012). The state of food insecurity in the world: Economic growth is necessary but not sufficient to accelerate reduction of hunger and malnutrition. Rome: Food and Agricultural Organization of the United Nations.
Funk, C. C. (2010). A climate trend analysis of Kenya-August 2010 (No. 2010–3074). US Geological Survey.
Gourdji, S., Läderach, P., Valle, A. M., Martinez, C. Z., & Lobell, D. B. (2015). Historical climate trends, deforestation, and maize and bean yields in Nicaragua. Agricultural and Forest Meteorology, 200, 270–281.
Hassan, R., Ransom, J. K., & Ojiem, J. (1995). The spatial distribution and farmers’ strategies to control Striga in maize: survey results from Kenya. In Jewell, D.C., Waddington, S.R., Ransom, S.R., Pixley, K.V. (Eds.), Maize Research for Stress Environments. Proceedings of the Fourth Eastern and Southern Africa Regional Maize Conference, 4; Harare (Zimbabwe); 28 March-1 April 1994. Mexico, DF (Mexico); CIMMYT 1995, pp. 250–254.
Herrero, M., Ringler, C., van de Steeg, J. A., Thornton, P. K., Zhu, T., Bryan, E., & Notenbaert, A. M. O. (2010). Climate variability and climate change and their impacts on Kenya’s agricultural sector. Nairobi, Kenya: ILRI. http://cgspace.cgiar.org/bitstream/handle/10568/2665/Kenya_Project%20Note%201_final.pdf. Accessed 3 May 2018.
IPCC. (2007). In S. Solomon, D. Qin, M. Manning, Z. Chen, M. Marquis, K. B. Averyt, M. Tignor, & H. L. Miller (Eds.), Climate change 2007: the physical science basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change (p. 996). Cambridge: Cambridge University Press.
IPCC. (2014). In: Pachauri RK, Meyer LA (eds) Climate change 2014: Synthesis report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. IPCC, Geneva.
Jones, P. G., & Thornton, P. K. (2003). The potential impacts of climate change on maize production in Africa and Latin America in 2055. Global environmental change, 13(1), 51–59.
Kamidi, M., Cheruiyot, D., Osore, P., & Barasa, G. (1999). Verification of the effect of organic manures and inorganic fertilizers on the yield of maize. In A Key to Sustainable Land Use. Proceedings of the 17th Conference of the Soil Science Society of East Africa, 6–10 September 1999.
Kendall, M. G. (1975). Rank correlation methods. London: Griffin & Co. ISBN 0-85264-199-0.
Kirkbride, M. (2008). Survival of the fittest: pastoralism and climate change in East Africa. Oxfam Briefing Paper 116, August Oxford: Oxfam International. Oxford. http://policy-practice.oxfam.org.uk/publications/survival-of-the-fittest-pastoralism-and-climatechange-in-east-africa-114607.
Leff, B., Ramankutty, N., & Foley, J. A. (2004). Geographic distribution of major crops across the world. Global Biogeochemical Cycles. https://doi.org/10.1029/2003GB002108.
Liang, X. Z., Wu, Y., Chambers, R. G., Schmoldt, D. L., Gao, W., Liu, C., et al. (2017). Determining climate effects on US total agricultural productivity. Proceedings of the National Academy of Sciences, 114(12), E2285–E2292.
Lobell, D. B., Bänziger, M., Magorokosho, C., & Vivek, B. (2011). Nonlinear heat effects on African maize as evidenced by historical yield trials. Nature climate change, 1(1), 42.
Lobell, D. B., & Burke, M. B. (2008). Why are agricultural impacts of climate change so uncertain? The importance of temperature relative to precipitation. Environmental Research Letters, 3(3), 034007.
Macauley, H., & Ramadjita, T. (2015). Cereal crops: Rice, maize, millet, sorghum, wheat. In U.N.E.C.F. (Ed.), Feeding Africa, Abdou Diouf International Conference Center, p. 36.
Mann, H. B. (1945). Nonparametric tests against trend. Econometrica: Journal of the Econometric Society, 13:245–259.
Ministry of Agriculture. (2009). Agricultural sector development strategy (ASDS) 2009–2020.
Mutimba, S., Mayieko, S., Olum, P., & Wanyama, K. (2010). Climate change vulnerability and adaptation preparedness in Kenya (p. 61). East and Horn of Africa: Heinrich Böll Stiftung.
Nyoro, J. K., Ayieko, M., & Muyanga, M. (2007). The compatibility of trade policy with domestic policy interventions affecting the grains sector in Kenya. Paper presented at FAO workshop on Trade and Policy for Food Products Conducive to Development in East Africa, 1–2 March 2007, Rome Italy.
Ogwang, B. A., Ongoma, V., & Gitau, W. (2015). Contributions of Atlantic Ocean to June-August Rainfall over Uganda and Western Kenya. Journal of the Earth and Space Physics, 41, 131–140.
Ongoma, V., & Chen, H. (2017). Temporal and spatial variability of temperature and precipitation over East Africa from 1951 to 2010. Meteorology and Atmospheric Physics, 129(2), 131–144.
Porter, J. R., & Semenov, M. A. (2005). Crop responses to climatic variation. Philosophical Transactions of the Royal Society B: Biological Sciences, 360(1463), 2021–2035.
Schlenker, W., & Roberts, M. J. (2009). Nonlinear temperature effects indicate severe damages to US crop yields under climate change. Proceedings of the National Academy of Sciences, 106(37), 15594–15598.
Schmidt, A., Eitzinger, A., Sonder, K., Sain, G., Rizo, L., Rodriguez, B., San Vicente, F. (2012). Tortillas on the roaster (ToR): central America maize-beans systems and the changing climate. CIAT, CRS, CIMMYT.
Schroeder, C., Onyango, T. K. O., Nar, R. B., Jick, N., Parzies, H., & Gemenet, D. (2013) Potentials of hybrid maize varieties for small-holder farmers in Kenya: a review based on Swot analysis. African Journal of Food, Agriculture, Nutrition and Development, 13(2), 1–25.
Sombroek, W. G., Braun, H. M. H., & Van der Pouw, B. J. A. (1982). Exploratory soil map and agro-climatic zone map of Kenya, 1980. Scale 1: 1,000,000. Kenya Soil Survey.
Taylor, K. E. (2001). Summarizing multiple aspects of model performance in a single diagram. Journal of Geophysical Research: Atmospheres, 106(D7), 7183–7192.
Webb, P., Coates, J., Frongillo, E. A., Rogers, B. L., Swindale, A., & Bilinsky, P. (2006). Measuring household food insecurity: why it’s so important and yet so difficult to do. The Journal of Nutrition, 136(5), 1404S–1408S.
Yang, W., Seager, R., Cane, M. A., & Lyon, B. (2015). The annual cycle of East African precipitation. Journal of Climate, 28(6), 2385–2404.
Ziska, L. H., Blumenthal, D. M., Runion, G. B., Hunt, E. R., & Diaz-Soltero, H. (2011). Invasive species and climate change: an agronomic perspective. Climatic Change, 105(1–2), 13–42.
Acknowledgements
This work was supported by the Nation Basic Research Program of China (2015CB453200) and NSFC Grant (41730961, 41575083, and 41575108). This manuscript is part of the first author’s dissertation presented at Nanjing University of Information, Science and Technology. We are grateful to Kenya Meteorological Department, Food and Agriculture (FAO) website, and Ministry of Agriculture for the provision of data.
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Mumo, L., Yu, J. & Fang, K. Assessing Impacts of Seasonal Climate Variability on Maize Yield in Kenya. Int. J. Plant Prod. 12, 297–307 (2018). https://doi.org/10.1007/s42106-018-0027-x
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DOI: https://doi.org/10.1007/s42106-018-0027-x