Remote sensing of biotic and abiotic stress for irrigation management of cotton |
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| Authors: | Nyland R Falkenberg Giovanni Piccinni J Tom Cothren Daniel I Leskovar Charlie M Rush |
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| Institution: | 1. Texas A&M University 2474 TAMU, College Station, TX 77843-2474, United States;2. Texas A&M Research and Extension Center, 1619 Garner Field Rd., Uvalde, TX 78801, United States;3. Texas A&M University, Soil and Crop Sciences Department, 370 Olsen Blvd., College Station, TX 77843-2474, United States;4. Texas Agricultural Experiment Station, PO Drawer 10, Bushland, TX 79012, United States |
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| Abstract: | The applicability of commercially available remote sensing instrumentation was evaluated for site-specific management of abiotic and biotic stress on cotton (Gossypium hirsutum L.) grown under a center pivot low energy precision application (LEPA) irrigation system. This study was conducted in a field where three irrigation regimes (100%, 75%, and 50% ETc) were imposed on areas of Phymatotrichum (root rot) with the specific objectives to (1) examine commercial remote sensing instrumentation for locating areas showing biotic and abiotic stress symptomology in a cotton field, (2) compare data obtained from commercial aerial infrared photography to that collected by infrared transducers (IRTs) mounted on a center pivot, (3) evaluate canopy temperature changes between irrigation regimes and their relationship to lint yield with IRTs and/or IR photography, and (4) explore the use of deficit irrigation and the use of crop coefficients for irrigation scheduling. Pivot-mounted IRTs and an IR camera were able to differentiate water stress among irrigation regimes. The IR camera distinguished between biotic (root rot) and abiotic (drought) stress with the assistance of groundtruthing. The 50% ETc regime had significantly higher canopy temperatures than the other two regimes, which was reflected in significantly lower lint yields when compared to the 75% and 100% ETc regimes. Deficit irrigation down to 75% ETc had no impact on lint yield, indicating that water savings were possible without reducing yield. |
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| Keywords: | Crop evapotranspiration Infrared transducer Infrared camera Site-specific management LEPA irrigation Remote sensing Canopy temperature |
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