Project Details
Description
Australian cotton offers high profitability and has potential to become a cornerstone crop in the Northern Territory (NT), where growth of cotton industry would build capacity and strengthen the whole agricultural sector. Unlike irrigated cotton in southern states, NT’s rain-fed cotton relies on wet season rainfall, making it less water-intensive but more vulnerable to unfavourable rainfall. However, our knowledge about water use of rain-fed cotton and potential impact of rainfall is limited.
This project aims to enhance our understanding of the water use patterns and efficiency of rain-fed cotton in the Katherine and Douglas-Daly regions using a combination of physiological measurements, ground and soil sensors, and remote sensing. By integrating these data into numerical crop models, the project will predict rain-fed cotton yields, including under variable rainfall, addressing potential impacts. This knowledge may serve to guide supplementary irrigation in the future, further bolstering the resilience of the NT cotton industry.
This project aims to enhance our understanding of the water use patterns and efficiency of rain-fed cotton in the Katherine and Douglas-Daly regions using a combination of physiological measurements, ground and soil sensors, and remote sensing. By integrating these data into numerical crop models, the project will predict rain-fed cotton yields, including under variable rainfall, addressing potential impacts. This knowledge may serve to guide supplementary irrigation in the future, further bolstering the resilience of the NT cotton industry.
Short title | 2023 IL Agricultural Science 35285 |
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Status | Active |
Effective start/end date | 1/01/24 → 31/12/27 |
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