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Water Saving Using Thermal Imagery-Based Thresholds for Timing Irrigation in Potatoes under Drip and Furrow Irrigation Systems

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Title Water Saving Using Thermal Imagery-Based Thresholds for Timing Irrigation in Potatoes under Drip and Furrow Irrigation Systems
 
Creator Rinza, J.
Ramírez, D.
Ninanya, J.
Mendiburu, F. de
García, J.
Quiroz, R.
 
Subject crop water use
irrigation scheduling
carbon footprint
potatoes
water conservation
 
Description Under the current water crisis in agriculture, irrigation methods for saving and conserving
water are necessary. However, these methods must guarantee an appropriate yield with a concomitant
economic benefit and a reduced environmental impact. In this study, two irrigation thresholds for
irrigation timing (IT) based on thermal imagery were analyzed with the UNICA potato variety in
three trials under drip (DI) and furrow (FI) irrigation during 2017–2018 in Lima, Peru. The control
(T1) remained at >70% of soil field capacity. For other treatments, thresholds were defined based
on stomatal conductance at light saturation (T2: 0.15 and T3: 0.05 mol H2O m􀀀2 s􀀀1) and crop
water stress index (T2: 0.4 and T3: 0.6) based on canopy temperature. An integrated index (IIN)
was established for the valuation of treatments using the criteria of high fresh tuber yield (FTY) and
a low total amount of irrigated water, production cost (PC), and total C emissions (TE) and using
criteria of a score. FI-T2 (0.69–0.72) and DI-T3 (0.19–0.29) showed the highest and lowest IIN value,
respectively. FTY in T2 was not significantly reduced under FI, resulting in a lower PC regarding
DI–T2 and emphasizing the usefulness of thermal imagery in determining watering schedules in
potatoes under furrow irrigation systems.
 
Date 2022-11
2022-11-23T16:18:17Z
2022-11-23T16:18:17Z
 
Type Journal Article
 
Identifier Rinza, J.; Ramírez, D.A.; Ninanya, J.; de Mendiburu, F.; García, J.; Quiroz, R. 2022. Water Saving Using Thermal Imagery-Based Thresholds for Timing Irrigation in Potatoes under Drip and Furrow Irrigation Systems. Agronomy. ISSN 2073-4395. 12, 2921.
1360-2241
https://hdl.handle.net/10568/125659
https://doi.org/10.3390/agronomy12122921
 
Language en
 
Rights CC-BY-4.0
Open Access
 
Format 13 p.
 
Source Agronomy