Abstract
Crops resilience and resistance to climate change varies from different ecological systems. The paper attempts to explore the sensitivity of yield of different staple crops in Nigerian tropical ecosystem to changes in climatic variables and recommend enterprise models for multiple cropping of the most sensitive crop to improve food security. Secondary data were sourced from Food and Agriculture Organization (FAO) statistics and Nigerian Meteorological stations for 1970–2014. Descriptive statistics and regression analysis were employed to examine the sensitivity of cereals, tubers and perennial crops to climatic factors. The results showed that maize as a cereal was the most sensitive crop to all climatic variables such as temperature, humidity and rainfall; while yam as a tuber was more sensitive than cocoa tree as a perennial crop. The paper discusses potentials and strategies for using early maize and extra early maize varieties by farmers in overcoming climate change effects on maize production. It further examined timeliness of using the varieties for planning lucrative enterprises to meet early and late maize markets in Nigeria. The paper is optimistic that with the proper use of improved climate tolerant breeds, farmers can stomach effects of climate change on maize production.
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Agronigeria (2013) IITA releases Striga-resistant, drought-tolerant, extra-early maturing maize varieties in Nigeria. Available at: http://agronigeria.com.ng/2013/08/19/iita-releases-striga-resistant-drought-tolerant-extra-early-maturing-maize-varieties-in-nigeria/. Accessed 19 Aug 2013
Asche F, Bremmes H, Wessels CR (1999) Product aggregation, market integration, and relationships between prices: an application to world salmon markets (August). Am J Agric Econ 81:568–581
Banerjee A, Dolado JJ, Glabraith JW, Hendry D (1993) Co Integration Oxford University press error correction and econometric analysis of non stationary data
Badu-Apraku B, Olakojo SA, Olaoye GM, Oyekunle MAB, Fakorede BA, Ogunbodede BA, Aladele SE (2013) Two extra-early maturing white maize hybrids released in Nigeria. Available at: http://r4dreview.org/2013/07/two-extra-early-maturing-white-maize-hybrids-released-in-nigeria/. Accessed July 2013
Bates BC, Kundzewicz ZW, Wu S, Palutikof JP (2008) IPCC technical paper on climate change and water. Cambridge, United Kingdom and New York. Cambridge University Press. 210
Dickey DA, Fuller WA (1979) Distribution of estimators for autoregressive time—series with a unit root. J Am Stat Assoc 74(366):427–431
FAO (2005) Impact of climate change, pests and diseases on food security and poverty reduction. Special event background document for the 31st session of the committee on World Food Security. Rome. 23–26 May 2005
Granger C, Newbold P (1974) Spurious regression in economics. J Econ 2(1):222–238
Gujarati D.N (2013) Basic Econometrics, Fifth edn. United States of America. McGraw Education Hill. 766
Harris, I., Jones, P.D., Osborn, T.J. and Lister, D.H. (2014). Updated high—resolution grids of monthly climatic observations—the CRU TS3.10 Dataset. Int J Climatol 34:623–642. https://doi.org/10.1002/joc.3711
IPCC Intergovernmental Panel on Climate Change (2007) Impacts, adaptations, and vulnerability, Fourth Assessment Report, Cambridge University Press, Cambridge, UK
Johansen S (1988) Statistical analysis of cointegrating vectors. J econ Dyn Control 12:231–254
Johansen S (1991) Estimation and hypothesis testing of cointegration vectors in Gaussian vector autoregressive models. Econometrica 59:551–580
Johansen S, Katarina J (1990) Maximum likelihood estimation and inferences on cointegration with applications to the demand for money. Oxford Bull Econ Stat 52:169–210
McClean CJ, Lovett JC, Kuper W, Hannah L, Sommer JH, Barhlott W, Termansen M, Smith GF, Tokumire S, Topin JRD (2005) African plant diversity and climate change. Ann Mo Bot Gard 92(2):139–152. Available at: http://www.jstor.org/stable/3298511.pdf. Accessed 09 Nov 2013
Mkpado M (2013a) The status of African agriculture and capacity development challenges for sustainable resilience from global economic shocks. J Sustain Dev Stud 3(1):45–79
Mkpado M (2013b) Some indicators of African agriculture situations, exports and opportunities. J Bus Adm Educ 2(3):123–155
Mkpado M, Mkpado NS (2020) Comparative analysis of employment trend in African agriculture relative to other regions: a gender perspective. Afr J Econ Manag Stud 11(3):359–380
Mkpado M, Arene CJ (2003) Effects of cropping system and selected socio economic factors on the sustainability of arable crops production: the case of cassava in Okigwe Imo State Nigeria. J Agro Technol Ext 3(1):74–81
Mkpado M, Arene CJ (2012) Trade liberalization, exchange rate changes and the competitiveness of carbohydrates staple markets in Nigeria Int J Agric Manag Dev 2(2):121–136. Available at: www.ijamad.com/2(2)/IJAMAD6-2(2).pdf. Accessed 15 Oct 2013
Mkpado M (2012) Evidence of trade, competitiveness and climate change adaptation options for African agriculture. A paper presented at African Trade Policy Forum with the theme ‘African trade under climate change and green global economy’, Organized by Trade Policy Training Centre in Africa Arusha Tanzania from 7 to 8th
Nzeh EC, Eboh OR (2011) Technological challenges of climate change adaptation in Nigeria: insights from Enugu State. ATPS Working paper Series No 52
Ogundele OO, Okoruwa OV (2006) Technical efficiency differentials in rice production technologies in Nigeria. AERC Research paper 154
Stephen BO, Tobi EM (2014) Rainfall distribution and change detection across climatic zones in Nigeria. Weather Clim Extrem 5:1–6. Available at: https://doi.org/10.1016/j.wace.2014.10.002. Accessed 02 Oct 2014
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Mkpado, M., Ifejirika, C., Egbunonu, C. (2022). Yield Sensitivity of Some Crops to Climatic Factors and Enterprise Models for Adoption of Maize Breeds in Nigeria. In: Leal Filho, W., Djekic, I., Smetana, S., Kovaleva, M. (eds) Handbook of Climate Change Across the Food Supply Chain. Climate Change Management. Springer, Cham. https://doi.org/10.1007/978-3-030-87934-1_10
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