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Articles

Irrigation scheduling strategies to reduce the environmental impact of Ontario’s ornamental nurseries

Article number
1222_24
Pages
183 – 188
Language
English
Abstract
In typical ornamental nursery operations, irrigation schedules are predominantly determined by the nursery manager’s subjective assessment of crop water requirements.
In lieu of quantitative assessment strategies, managers tend to err on the side of caution and water to excess.
This results in poor water use efficiency and significant fertilizer leaching that negatively impacts local watersheds.
Using innovative water potential sensors that directly measure plant water stress/status in near real time, we characterized the relationships between crop water stress, prevailing environmental conditions, and species-specific water stress tolerance thresholds.
Irrigation scheduling algorithms that predict cumulative plant water potential (cWP) thresholds based on cumulative daily environmental conditions (i.e., cumulative vapour pressure deficit – cVPD) were tested on Chanticleer pear (Pyrus calleryana) trees grown in a pot-in-pot production system equipped with drip irrigation.
Three water restriction treatments were applied: 1) control (nursery irrigation schedule), 2) moderate restriction/stress cVPD threshold, and 3) high restriction/stress cVPD threshold.
The moderate and high stress treatments resulted in 46 and 63% water savings respectively relative to the control.
Trees grown under the moderate treatment showed no significant difference in growth compared to the control trees.
Trees grown under high water stress did exhibit reduced growth, as determined by caliper diameter differentials, but otherwise appeared healthy.
This cVPD/cWP approach has potential to dramatically reduce water consumption and environmental impact of nursery operations if adopted by the industry.

Publication
Authors
J.A. Stoochnoff, N. Tran, T. Graham, M.A. Dixon
Keywords
stem psychrometer, vapour pressure deficit, plant water status, water-use, water management
Full text
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