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Simulating impacts of irrigation heterogeneity on onion (Allium cepa L.) yield in a humid climate

This paper reports on a study combining experimental field data with biophysical crop modelling to assess the impacts of irrigation heterogeneity on onion yield. The AquaCrop model was calibrated and validated for brown onion (cv Arthur) and used to simulate yield variability under a set of contrast...

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Published in:Irrigation science 2015-01, Vol.33 (1), p.1-14
Main Authors: Pérez-Ortolá, M., Daccache, A., Hess, T. M., Knox, J. W.
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description This paper reports on a study combining experimental field data with biophysical crop modelling to assess the impacts of irrigation heterogeneity on onion yield. The AquaCrop model was calibrated and validated for brown onion (cv Arthur) and used to simulate yield variability under a set of contrasting soil and agroclimatic conditions assuming perfect (100 % uniform) irrigation. The impacts of non-uniform irrigation as measured on-farm under two overhead systems (mobile hose reel fitted with boom and a linear move) were then evaluated using scenario analysis and multi-model runs. Stochastic modelling confirmed that the lowest yield (8.6 t DM/ha) occurs on the lowest moisture retentive soils under the driest agroclimatic conditions with non-uniform irrigation. There is much greater yield variability in dry years compared to wet years. In wet years, rainfall reduces the scheduled number of irrigation events and buffers the effects of irrigation non-uniformity on yield. Yields were more variable under the mobile hose reel system fitted with the boom compared to the fixed linear move system. The modelled yield variability under non-uniform was similar to the observed yields reported by growers based on an industry survey. The study highlights the importance of achieving high irrigation uniformity in dry years on light soils to maximise yield and provides useful data for evaluating the potential yield benefits that might accrue from precision irrigation.
doi_str_mv 10.1007/s00271-014-0444-2
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identifier ISSN: 0342-7188
ispartof Irrigation science, 2015-01, Vol.33 (1), p.1-14
issn 0342-7188
1432-1319
language eng
recordid cdi_proquest_miscellaneous_1800441754
source Springer Nature
subjects Agriculture
Allium cepa
Aquatic Pollution
Biomedical and Life Sciences
Climate
Climate Change
Computer simulation
crop models
Crop yield
Drying
Environment
field experimentation
growers
Heterogeneity
Hoses
Humid climates
humid zones
Humidity
industry
Irrigation
Irrigation effects
Life Sciences
Modelling
Onions
Original Paper
rain
Soil (material)
soil texture
Stochastic models
stochastic processes
surveys
Sustainable Development
Waste Water Technology
Water Industry/Water Technologies
Water Management
Water Pollution Control
title Simulating impacts of irrigation heterogeneity on onion (Allium cepa L.) yield in a humid climate
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