Quantifying potential yield and lodging-related yield gaps for irrigated spring wheat in sub-tropical Australia
Article
Article Title | Quantifying potential yield and lodging-related yield gaps for irrigated spring wheat in sub-tropical Australia |
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ERA Journal ID | 5309 |
Article Category | Article |
Authors | Peake, A. S. (Author), Huth, N. I. (Author), Carberry, P. S. (Author), Raine, S. R. (Author) and Smith, R. J. (Author) |
Journal Title | Field Crops Research |
Journal Citation | 158, pp. 1-14 |
Number of Pages | 14 |
Year | 2014 |
Publisher | Elsevier |
Place of Publication | Netherlands |
ISSN | 0378-4290 |
1872-6852 | |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.fcr.2013.12.001 |
Web Address (URL) | https://www.sciencedirect.com/science/article/pii/S037842901300405X |
Abstract | Approximately 15% of global wheat production (40% of the wheat produced by developing countries)occurs in irrigated, low-rainfall regions of the subtropics. Irrigated wheat is uncommon in sub-tropical Australia because cotton is more profitable, but high grain prices in 2008 triggered a record area of irrigated wheat production. Unfortunately, widespread lodging occurred and yields were lower than expected, although the losses directly attributable to lodging were unknown. Crop models have not been previously validated for calculating potential yield and yield gaps of mechanised, lodging-susceptible production systems. This study aimed to determine potential yield,farmer-realised yield, and water use requirements of lodging-prone irrigated wheat in sub-tropical Australia, using field monitoring and the APSIM simulation model. Yield data were obtained in 2008 and2009 from 16 commercial irrigated wheat fields and multiple treatments from four irrigated experiments,and used to assess APSIM's ability to predict grain yield of irrigated wheat. In 2009, management of commercial fields aimed to avoid lodging by using the canopy management technique of in-season N application. APSIM generally under-predicted biomass production and yield in these fields, suggesting that the N uptake parameters in APSIM may require adjustment. Observed yields from fields of a quick-maturing cultivar that experienced little lodging were simulated accurately when N was assumed to be non-limiting. This study demonstrated the value of using validated simulation models for estimating potential yield and yield gap analysis. Yield gap analysis also enabled the identification of agronomic characteristics(high levels of soil residual N) which probably contributed to lodging. Further investigation is required to determine whether alternative varieties or the canopy management technique of in-season N application can increase the potential yield of irrigated spring wheat above the levels reported here. |
Keywords | canopy management; irrigation; nitrogen; simulation model; water use |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 300207. Agricultural systems analysis and modelling |
300201. Agricultural hydrology | |
300403. Agronomy | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia |
National Centre for Engineering in Agriculture | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q2x39/quantifying-potential-yield-and-lodging-related-yield-gaps-for-irrigated-spring-wheat-in-sub-tropical-australia
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