Assessment of Static Crop Water Production Functions of Plantain (Musa Sp. AAB) under a Tropical Climatic Condition

Akinola O. Akinro

Abstract


Static Water Production Function Models were used in assessing and predicting crop growth and yield for plantain. The regression analysis between the crop water use and yields showed that the relationships continued to improve from the linear function to the third degree polynomial functions.

Fundamental water production function equations were drawn from the regression equations of each treatment when the relative yield decrease and relative evapotranspiration deficits were compared. The crop yield response factor values obtained in the study for plantain crop ranged from 0.61 – 1.35. The linear yield prediction models established for the crop gave positive slopes and thus exhibit some measure of reliability for predicting crop yields. The coefficient of correlation were significantly high varying from 0.66 – 0.87 for all treatments. Crop growth model is a very effective tool for predicting possible impacts of climatic change on crop growth and yield and also useful for solving various practical problems in agriculture.

 


Keywords


Models, Crop water, evapotranspiration, static, growth, yield

Full Text:

PDF

References


• Anac, M. S. Ali U. M. Tuzel, I. H. Anac, D. Okor, B. and Hakerlerler, H., 1999. Optimum Irrigation Scheduling for Cotton under deficit Irrigation Conditions, In: Kirda, C. Mountonnet, P. Hera, J. and Nielsen, D. R., (eds.). Crop Yield Response to deficit Irrigation, Dordrecht, The Netherlands, Kluwer Academic Publishers. 245pp

• De Wit, C.T., 1958. Transpiration and crop yields. Versl. Landbouwk. Onderz. No. 64, Wageningen, The Netherlands. 47-58

• Doorenbos, J., Kassam, A.H., (1979) Yield Response to Water. FAO Irrigation and Drainage Paper No. 33. FAO, Rome

• Gong, P. Ruiliang, Pu. and Miller, J.R., 1995. Coniferous Forest Leaf Area Index Estimation along the Oregon Transect Using Compact Airborne Spectrographic Imager Data, PE & RS, 61 – 9: 1107 – 1117

• Hanks, R.J., 1974. Model for predicting plant yield as influenced by water use. Agron. J. 66: 660-665

• Igbadun, H. E. Mahoa, H. F. Andrew, K. P. R. Tarimo Salim, A. B., 2006. Crop water Productivity of an Irrigated maize crop in Mkoji sub-catchment of the Great Ruaha River Basin, Tanzania. Agricultural Water Management, 85: 141-150

• Jensen, M. E., 1968. Water consumption by agricultural plants. In: Water Deficits in Plant Growth. Kolowski, T.T. (ed.). Academic Press, New York. Vol 1: 1-22

• Karanja, F. K., 2006. CropWat Model Analysis of crop Water Use in six districts in Kenya under the GEF funded project: Climate Change Impacts on and Adaptation of Agro-ecological Systems in Africa. Coordinated by the Centre for Environmental Economics and Policy in Africa (CEEPA) of the University of Pretoria and the World Bank. 37pp

• Maas, E.V. and Hoffman, G.J., 1977. Crop salt tolerance - Current assessment. J. Irrig. Drain. Div. ASAE 103: 115-134

• Molua, E. L. and Lambi, C. M., 2006. Assessing the Impact of Climate on Crop water use and crop water productivity. The CropWat Analysis of three Districts in Cameroun. Under the GEF funded project: Climate Change Impacts on and Adaptation of Agro-ecological Systems in Africa. Coordinated by the Centre for Environmental Economics and Policy in Africa (CEEPA) of the University of Pretoria and the World Bank. 44pp

• Obiefuna, J. C. and Ndubizu, T.O.C., 1979. Estimating leaf area of Plantain. Scientia Horticulturae 11: 31-36

• Prieto, D. and Anguera, C., 1999. Water stress effect on different Growing stages for Cotton and its influence on Yield reduction. In: Kirda, C; Mountonnet, P; Hera, C. and Nielson, D.R. (eds.). Crop yield response to deficit irrigation. Dordrecht, The Netherlands. Kluwer Academic Publishers.

• Ragab, R. and Cooper, J.D., 1993. Variability of unsaturated zone water transport parameters: Implications for Hydrological Modelling. 1 - In situ measurements. 2 - Predicted versus In situ measurements and evaluation of methods. J. of Hydrology 148: 109-147

• Stewart, J. I. Mistra, R. D. Pruitt, W. O. and Hagan, R. M., 1976. Irrigations of corn and Grain Sorghum with a Deficient Water supply Transactions of the ASAE, Paper No. 74(2024): 270-280.

• Stewart, J. I. Cuenca, R. H. Pruitt, W. O. Hagan, R. M. and Tosso, J., 1977. Determination and utilization of water production functions for principal California crops. W-67 Calif. Contrib. Proj. Rep. University of California, Davis.

• Ragab, R. and Cooper, J.D., 1993. Variability of unsaturated zone water transport parameters: Implications for Hydrological Modelling. 1 - In situ measurements. 2 - Predicted versus In situ measurements and evaluation of methods. J. of Hydrology 148: 109-147

• Ragab, R. Beese, F. and Ehlers, W., 1990. A soil water balance and dry matter production model. I. Soil water balance of oats. II. Dry matter production of oats. Agron. J. 82: 152-161

• van Genuchten, M.Th. and Hoffman, G. J., 1984. Analysis of crop salt tolerance data. In: Soil Salinity under Irrigation Processes and Management. Ecological Studies 51. Shainberg, I. and Shalhevet, J. (eds.). New York, Springer-Verlag. 258-271


Refbacks

  • There are currently no refbacks.


Copyright (c)