Hostname: page-component-77c89778f8-cnmwb Total loading time: 0 Render date: 2024-07-16T13:59:34.588Z Has data issue: false hasContentIssue false
  • English
  • Français

CALIBRATION AND VALIDATION OF FAO-AQUACROP MODEL FOR IRRIGATED AND WATER DEFICIENT BAMBARA GROUNDNUT

Published online by Cambridge University Press:  06 May 2011

A. S. KARUNARATNE ,
S. N. AZAM-ALI ,
G. IZZI  and
P. STEDUTO
A. S. KARUNARATNE*
Affiliation:
School of Biosciences, University Park Campus, University of Nottingham, NG 7 2RD, UK
S. N. AZAM-ALI
Affiliation:
University of Nottingham Malaysia Campus, Jalan Broga, 43500, Selangor, Malaysia
G. IZZI
Affiliation:
Land and Water Division, Food and Agriculture Organization, Viale delle Terme di Caracalla, 00153, Rome, Italy
P. STEDUTO
Affiliation:
Land and Water Division, Food and Agriculture Organization, Viale delle Terme di Caracalla, 00153, Rome, Italy
*
‡Corresponding author. Present address: Faculty of Agricultural Sciences, Sabaragamuwa University, Belihuloya, 70140, Sri Lanka. Email: asha.karunaratne@yahoo.co.uk
Get access Rights & Permissions [Opens in a new window]

Summary

Simulation of yield response to water plays an increasingly important role in optimization of crop water productivity (WP) especially in prevalent drought in Africa. The present study is focused on a representative crop: bambara groundnut (Vigna subterranea), an ancient grain legume grown, cooked, processed and traded mainly by subsistence women farmers in sub-Saharan Africa. Over four years (2002, 2006–2008), glasshouse experiments were conducted at the Tropical Crops Research Unit, University of Nottingham, UK under controlled environments with different landraces, temperatures (23 ± 5 °C, 28 ± 5 °C, 33 ± 5 °C) and soil moisture regimes (irrigated, early drought, late drought). Parallel to this, field experiments were conducted in Swaziland (2002/2003) and Botswana (2007/2008). Crop measurements of canopy cover (CC), biomass (B) and pod yield (Y) of selected experiments from glasshouse (2006 and 2007) and field (Botswana) were used to calibrate the FAO AquaCrop model. Subsequently, the model was validated against independent data sets from glasshouse (2002 and 2008) and field (Swaziland) for different landraces. AquaCrop simulations for CC, B and Y of different bambara groundnut landraces are in good agreement with observed data with R2 (CC-0.88; B-0.78; Y-0.72), but with significant underestimation for some landraces.

Type
Research Article
Information
Experimental Agriculture , Volume 47 , Issue 3 , July 2011 , pp. 509 - 527
Copyright
Copyright © Cambridge University Press 2011

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Azam-Ali, S. N. and Squire, G. R. (2002). Principles of Tropical Agronomy Wallingford, UK: CAB International.Google Scholar
Bradley, R. G. and Crout, N. M. J. (1993). The PARCH model. University of Nottingham, Nottingham, UK.Google Scholar
Collinson, S. T., Azam-Ali, S. N., Chavula, K. M. and Hodson, D. A. (1996). Growth, development and yield of bambara groundnut (Vigna subterranea) in response to soil moisture. Journal of Agricultural Science Cambridge. 126:307–318.CrossRefGoogle Scholar
Cornelissen, R., Deaswarte, J. C. and Azam-Ali, S. N. (2002). A preliminary stage for model development in bambara groundnut. In Increasing the Productivity of Bambara Groundnut (Vigna subterranea) for Sustainable Food Production in Semi-arid Africa. Proceedings of Mid workshop University of Swaziland, Kwaluseni Campus, Swaziland, 167–176.Google Scholar
Cornelissen, R. L. E. J. (2005). Modelling variation in the physiology of bambara groundnut (Vigna subterranea (L) Verdc.). PhD thesis, University of Nottingham, UK.Google Scholar
Crout, N. M. J., Tarsitano, D. and Wood, A. T. (2009). Is my model too complex? Evaluating model formulation using model reduction. Environmental Modelling and Software 24:1–7.CrossRefGoogle Scholar
Garcia-Vila, M., Fereres, E., Mateos, L., Orgaz, F. and Steduto, P. (2009). Deficit irrigation of cotton with AquaCrop. Agronomy Journal 101:447–487.CrossRefGoogle Scholar
Heng, L. K., Hsiao, T., Evett, S., Howell, T. and Steduto, P. (2009). Validating the FAO AquaCrop model for irrigated and water deficit field maize. Agronomy Journal 101:488–498.CrossRefGoogle Scholar
Karunaratne, A. S. (2009). Modelling the response of bambara groundnut (Vigna subterranea L. Verdc.) for abiotic stress, PhD thesis, University of Nottingham, UK.Google Scholar
Karunaratne, A. S., Azam-Ali, S. N., Al-Shareef, I., Sesay, A., Jørgensen, S. T. and Crout, N. M. J. (2010). Modelling the canopy development of bambara groundnut. Agricultural and Forest Meteorology 150:1007–1015.CrossRefGoogle Scholar
Linnemann, A. R. and Azam-Ali, S. N. (1993). Bambara groundnut (Vigna subterranea (L.) Verdc.). In Underutilized Crops: Pulses and Vegetables, 13–58 (Ed. Williams, J. T.) London: Chapman Hall.Google Scholar
Mwale, S. S. (2005). Resource use efficiency of bambara groundnut landraces in response to soil water. PhD thesis, University of Nottingham, UK.Google Scholar
Mwale, S. S., Azam-Ali, S. N. and Massawe, F. J. (2007a). Growth and development of bambara groundnut (Vigna subterranea) in response to soil moisture 1. Dry matter and yield. European Journal of Agronomy 26:345–353.CrossRefGoogle Scholar
Raes, D., Steduto, P., Hsiao, T. C. and Fereres, E. (2009). AquaCrop – The FAO crop model to simulate yield response to water, 1. Main algorithms and software description. Agronomy Journal 101:4438–4447.CrossRefGoogle Scholar
Steduto, P., Hsiao, T. C. and Fereres, E. (2007). On the conservative behaviour of biomass water productivity. Irrigation Science 25:189–207.CrossRefGoogle Scholar
Steduto, P., Hsiao, T. C., Raes, D., Fereres, E. (2009). AquaCrop- The FAO crop model to simulate yield response to water, 1. Concepts and underlying principles. Agronomy Journal 101:426–437.CrossRefGoogle Scholar