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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*
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: [email protected]

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
Copyright
Copyright © Cambridge University Press 2011

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