Agronomic and economic evaluation of irrigation strategies on cotton lint yield in Australia

Cammarano, Davide, Payero, Jose, Basso, Bruno, Wilkens, Paul and Grace, Peter (2012) Agronomic and economic evaluation of irrigation strategies on cotton lint yield in Australia. Crop and Pasture Science, 63 7: 647-655.


Author Cammarano, Davide
Payero, Jose
Basso, Bruno
Wilkens, Paul
Grace, Peter
Title Agronomic and economic evaluation of irrigation strategies on cotton lint yield in Australia
Journal name Crop and Pasture Science   Check publisher's open access policy
ISSN 1836-0947
1836-5795
Publication date 2012
Sub-type Article (original research)
DOI 10.1071/CP12024
Volume 63
Issue 7
Start page 647
End page 655
Total pages 9
Place of publication Collingwood, Vic., Australia
Publisher CSIRO Publishing
Collection year 2013
Language eng
Formatted abstract Cotton is one of the most important irrigated crops in subtropical Australia. In recent years, cotton production has been severely affected by the worst drought in recorded history, with the 2007–08 growing season recording the lowest average cotton yield in 30 years. The use of a crop simulation model to simulate the long-term temporal distribution of cotton yields under different levels of irrigation and the marginal value for each unit of water applied is important in determining the economic feasibility of current irrigation practices. The objectives of this study were to: (i) evaluate the CROPGRO-Cotton simulation model for studying crop growth under deficit irrigation scenarios across ten locations in New South Wales (NSW) and Queensland (Qld); (ii) evaluate agronomic and economic responses to water inputs across the ten locations; and (iii) determine the economically optimal irrigation level. The CROPGRO-Cotton simulation model was evaluated using 2 years of experimental data collected at Kingsthorpe, Qld The model was further evaluated using data from nine locations between northern NSW and southern Qld. Long-term simulations were based on the prevalent furrow-irrigation practice of refilling the soil profile when the plant-available soil water content is <50%. The model closely estimated lint yield for all locations evaluated. Our results showed that the amounts of water needed to maximise profit and maximise yield are different, which has economic and environmental implications. Irrigation needed to maximise profits varied with both agronomic and economic factors, which can be quite variable with season and location. Therefore, better tools and information that consider the agronomic and economic implications of irrigation decisions need to be developed and made available to growers.
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Queensland Alliance for Agriculture and Food Innovation
Official 2013 Collection
 
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