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Plant sciences, sustainable farming systems and food quality
RESEARCH ARTICLE

The limit to wheat water-use efficiency in eastern Australia. II. Influence of rainfall patterns

V. O. Sadras A C and D. Rodriguez B
+ Author Affiliations
- Author Affiliations

A South Australian Research & Development Institute – School of Agriculture Food & Wine, The University of Adelaide, South Australia, GPO Box 397, Adelaide, SA 5001, Australia.

B Department of Primary Industries and Fisheries, Agricultural Production Systems Research Unit (APSRU), PO Box 102, Toowoomba, Qld 4352, Australia.

C Corresponding author. Email: sadras.victor@saugov.sa.gov.au

Australian Journal of Agricultural Research 58(7) 657-669 https://doi.org/10.1071/AR06376
Submitted: 28 November 2006  Accepted: 21 March 2007   Published: 26 July 2007

Abstract

We investigated the influence of rainfall patterns on the water-use efficiency of wheat in a transect between Horsham (36°S) and Emerald (23°S) in eastern Australia. Water-use efficiency was defined in terms of biomass and transpiration, WUEB/T, and grain yield and evapotranspiration, WUEY/ET. Our working hypothesis is that latitudinal trends in WUEY/ET of water-limited crops are the complex result of southward increasing WUEB/T and soil evaporation, and season-dependent trends in harvest index. Our approach included: (a) analysis of long-term records to establish latitudinal gradients of amount, seasonality, and size-structure of rainfall; and (b) modelling wheat development, growth, yield, water budget components, and derived variables including WUEB/T and WUEY/ET. Annual median rainfall declined from around 600 mm in northern locations to 380 mm in the south. Median seasonal rain (from sowing to harvest) doubled between Emerald and Horsham, whereas median off-season rainfall (harvest to sowing) ranged from 460 mm at Emerald to 156 mm at Horsham. The contribution of small events (≤ 5 mm) to seasonal rainfall was negligible at Emerald (median 15 mm) and substantial at Horsham (105 mm). Power law coefficients (τ), i.e. the slopes of the regression between size and number of events in a log-log scale, captured the latitudinal gradient characterised by an increasing dominance of small events from north to south during the growing season. Median modelled WUEB/T increased from 46 kg/ha.mm at Emerald to 73 kg/ha.mm at Horsham, in response to decreasing atmospheric demand. Median modelled soil evaporation during the growing season increased from 70 mm at Emerald to 172 mm at Horsham. This was explained by the size-structure of rainfall characterised with parameter τ, rather than by the total amount of rainfall. Median modelled harvest index ranged from 0.25 to 0.34 across locations, and had a season-dependent latitudinal pattern, i.e. it was greater in northern locations in dry seasons in association with wetter soil profiles at sowing. There was a season-dependent latitudinal pattern in modelled WUEY/ET. In drier seasons, high soil evaporation driven by a very strong dominance of small events, and lower harvest index override the putative advantage of low atmospheric demand and associated higher WUEB/T in southern locations, hence the significant southwards decrease in WUEY/ET. In wetter seasons, when large events contribute a significant proportion of seasonal rain, higher WUEB/T in southern locations may translate into high WUEY/ET. Linear boundary functions (French-Schultz type models) accounting for latitudinal gradients in its parameters, slope, and x-intercept, were fitted to scatter-plots of modelled yield v. evapotranspiration. The x-intercept of the model is re-interpreted in terms of rainfall size structure, and the slope or efficiency multiplier is described in terms of the radiation, temperature, and air humidity properties of the environment. Implications for crop management and breeding are discussed.

Additional keywords: Triticum aestivum, climate, harvest index, biomass, power law, seasonality, nitrogen, breeding, modelling, root, evaporation, transpiration, water, resource pulse.


Acknowledgments

We thank Grant Williamson for the calculation of Markham’s vectors and Steve Marvanek for drawing the map. V. O. Sadras’ work is partially funded by the River Murray Improvement Program. D. Rodriguez was funded by the Queensland Department of Primary Industries & Fisheries and by the Grains Research and Development Corporation through the Western Queensland Farming System project.


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