Modelling of Response of the Growth and Yield of Soybean to Full and Deficit Irrigation by Using Aquacrop

The use of crop yield models is important in simulating and predicting yield of crops and in making decisions under changing climate conditions, in order to optimize production. In this study the AquaCrop model was calibrated and validated to predict canopy cover, dry above‐ground biomass, yield, ev...

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Bibliographic Details
Published in:Irrigation and drainage 2017-04, Vol.66 (2), p.192-205
Main Authors: Adeboye, Omotayo B., Schultz, Bart, Adekalu, Kenneth O., Prasad, Krishna
Format: Article
Language:English
Subjects:
Agricultural production
AquaCrop
Biomass
Calibration
Canopies
Canopy
Climate
Coefficients
Computer simulation
Copyright
Crop yield
Crops
Cultures
deficit irrigation
Evapotranspiration
Flowering
Growth
Irrigation
irrigation déficitaire
Mean square errors
Modelling
Moisture content
Nigeria
Predictions
Productivity
Root-mean-square errors
Seasons
Soil
Soil moisture
Soil water
soja
soybean
Soybeans
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Summary:The use of crop yield models is important in simulating and predicting yield of crops and in making decisions under changing climate conditions, in order to optimize production. In this study the AquaCrop model was calibrated and validated to predict canopy cover, dry above‐ground biomass, yield, evapotranspiration, soil moisture content and water productivity of soybeans. The study was conducted in Ile‐Ife, Nigeria, for two seasons. Treatments were full irrigation and different deficit irrigation applications during the growth stages: flowering, pod initiation, pod filling and maturity. Calibration and validation were done by using the 2013 and 2013/2014 data sets respectively. The coefficient of determination, root mean square error, normalized root mean square error, Nash–Sutcliffe model efficiency coefficient and degree of agreement were used to test the performance of the model. AquaCrop overestimated biomass under deficit irrigation conditions, but performed better in simulating soil moisture under full irrigation conditions. Considering the overall performance of AquaCrop with respect to these aspects, we conclude that the model can be used for accurate prediction of yield, soil moisture and hence to optimize water productivity of soybeans at farm level and basin scale. Copyright © 2017 John Wiley & Sons, Ltd. Résumé L'utilisation de modèles de rendement des cultures est importante pour prédire leur rendement et prendre des décisions pour optimiser la production en fonction de conditions climatiques changeantes. Dans cette étude sur le soja, le modèle AquaCrop a été calibré et validé pour prédire la couverture foliaire, la biomasse sèche au‐dessus du sol, le rendement, l'évapotranspiration des cultures, l'humidité du sol et la productivité de l'eau. L'étude a été menée en Ile‐Ife (Nigéria) pendant deux saisons. Les traitements étaient l'irrigation complète et différentes niveaux d'irrigation déficitaire et l'observation portait sur différentes phases de croissance: la floraison, l'initiation des gousses, le remplissage des gousses et la maturité. La calibration et la validation ont été effectuées en utilisant les données de 2013 et 2013/2014 respectivement. Le coefficient de détermination, l'erreur quadratique moyenne, sa racine normalisée, le coefficient de Nash–Sutcliffe d'efficacité du modèle et le degré d'accord ont été utilisés pour tester les performances du modèle. AquaCrop a surestimé la biomasse dans des conditions d'irrigation déficitaire,
ISSN:1531-0353
1531-0361
DOI:10.1002/ird.2073