Free Standard AU & NZ Shipping For All Book Orders Over $80!
Register      Login
Crop and Pasture Science Crop and Pasture Science Society
Plant sciences, sustainable farming systems and food quality
RESEARCH ARTICLE

Potential to improve on-farm wheat yield and WUE in Australia

Z. Hochman A D , D. Holzworth B and J. R. Hunt C
+ Author Affiliations
- Author Affiliations

A Agricultural Production Systems Research Unit (APSRU), CSIRO Sustainable Ecosystems, 306 Carmody Road, St Lucia, Qld 4067, Australia.

B Agricultural Production Systems Research Unit (APSRU), CSIRO Sustainable Ecosystems, Toowoomba, Qld 4350, Australia.

C BCG, PO Box 85, Birchip, Vic. 3483, Australia. Current address: CSIRO Plant Industry, GPO Box 1600, ACT 2601, Australia.

D Corresponding author. Email: zvi.hochman@csiro.au

Crop and Pasture Science 60(8) 708-716 https://doi.org/10.1071/CP09064
Submitted: 18 February 2009  Accepted: 12 June 2009   Published: 5 August 2009

Abstract

Water-use efficiency (WUE) is defined here as the ratio of grain yield (kg/ha) to crop water use by evapotranspiration (mm). Much of the WUE literature has focussed on either the determination of the boundary of attainable WUE for any amount of available water, or on the practicalities of measurement of the WUE of a crop. While these are important issues for defining the gap between the attained and the potential WUE, little progress has been reported on clarifying the components that contribute to this gap or on how it can be bridged. To address these questions, we analysed 334 wheat fields for which we had the data necessary to both calculate WUE and to simulate crop growth and water use. Simulations were conducted through Yield Prophet®, an on-line version of the APSIM systems model. For this dataset, evapotranspiration accounted for 69% of observed yield variation, although the more commonly used growing-season (April–October) rainfall accounted for 50%. Considering that evapotranspiration efficiency does not account for a wide range of potentially yield-limiting factors including soil and fertiliser nitrogen supply, crop phenology, and sowing dates, or rainfall distribution, these results reinforce the importance of evapotranspiration efficiency as a yield determinant for well managed crops in water-limited environments. WUE attained over the whole dataset was 15.2 kg grain/ha.mm (x-intercept = 67 mm), although this value contained data subsets with important differences in WUE based on soil water-holding capacity and regional diversity. Yield Prophet® simulated commercial wheat yields with RMSDs of 0.80 t/ha (r2 = 0.71), with some systematic error between observed and simulated yields. Simulated crops achieved a higher WUE (16.9 kg grain/ha.mm; x-intercept = 72 mm) than the observed crops, probably because APSIM does not account for effects of factors such as weeds, pests and diseases and impacts of severe weather. Simulated ‘what-if’ analysis suggested that further improvement in WUE may be achieved with an early sowing strategy or a higher nitrogen input strategy. A ‘yield maximising’ strategy that included an optimal plant density, early sowing date, and higher nitrogen inputs resulted in an average WUE (21.4 kg grain/ha.mm; x-intercept = 80 mm) that is close to the previously reported (French-Schultz) boundary of WUE. This outcome suggests a great deal of scope for Australian wheat growers to adopt strategies that improve their WUE. Yield Prophet® farmers have already demonstrated significant improvement in on-farm WUE compared with previous studies. However, additional improvements will only be partially realised due to considerations of the cost: benefit ratio and risk in a highly variable climate, and the operational feasibility of these strategies with current technologies.

Additional keywords: evapotranspiration, simulation, Yield Prophet®, APSIM.


Acknowledgments

The authors of this paper acknowledge the support of CSIRO and BCG for their commitment to this research program. We gratefully acknowledge the financial support provided by the Managing Climate Variability R&D Program of Land and Water Australia (LWA), the Grains Research and Development Corporation (GRDC), and the Information Technology On-line (ITOL) program of the Department of Communication, Information Technology and the Arts (DCITA). The project would not exist without the enthusiastic and vital participation of the many farmers, agronomic consultants, and state department agronomists who are too numerous to name individually. We thank John Kirkegaard, Michael Robertson, Yvette Oliver, Merv Probert, Peter Carberry, Peter Stone, and three anonymous reviewers for their constructive comments on draft manuscripts.


References


Angus JF, van Herwaarden AF (2001) Increasing water use and water use efficiency in dryland wheat. Agronomy Journal 93, 290–298. open url image1

Asseng S, Keating BA, Fillery IRP, Gregory PJ, Bowden JW, Turner NC (1998) Performance of the APSIM-wheat model in Western Australia. Field Crops Research 57, 163–179.
Crossref | GoogleScholarGoogle Scholar | open url image1

Beeston G , Stephens D , Nunweek M , Walcott J , Ranatunga K (2005) GRDC Strategic Planning for Investment based on Agro-ecological Zones. Final Report to GRDC, June 2005, Commonwealth of Australia, Canberra, Australia.

Cornish PS, Murray GM (1989) Rainfall rarely limits the yield of wheat in southern NSW. Australian Journal of Experimental Agriculture 29, 77–83.
Crossref | GoogleScholarGoogle Scholar | open url image1

CSIRO, Bureau of Meteorology (2007) Climate change in Australia – Technical Report 2007. CSIRO, Clayton South, Vic. Available at: www.climatechangeinaustralia.gov.au/resources.php

Dalgliesh NP , Foale MA (1998) Soil matters – monitoring soil water and nitrogen in dryland farming. Agricultural Production Systems Research Unit, Toowoomba, Qld.

Dalgliesh NP, Foale MA, McCown RL (2009) Re-inventing model-based decision support with Australian dryland farmers 2. Pragmatic provision of soil information for field-specific simulation and for farmer decision making. Crop and Pasture Science 60, (In press). open url image1

Doherty A , Rodriguez D , Potgieter AB , Sadras VO (2008) A national benchmark for the Australian wheat industry: accounting for overlooked climate drivers. In ‘Proceedings of the 14th Australian Agronomy Conference’. 21–25 Sept. 2008, Adelaide, S. Aust. (Ed. M Unkovich) (The Regional Institute Ltd: Gosford, NSW)

Evans LT, Fischer RA (1999) Yield potential: its definition, measurement, and significance. Crop Science 39, 1544–1551. open url image1

French RJ, Schultz JE (1984a) Water use efficiency of wheat in a Mediterranean-type environment. I. The relation between yield, water use and climate. Australian Journal of Agricultural Research 35, 743–764.
Crossref | GoogleScholarGoogle Scholar | open url image1

French RJ, Schultz JE (1984b) Water use efficiency of wheat in a Mediterranean-type environment. II. Some limitations to efficiency. Australian Journal of Agricultural Research 35, 765–775.
Crossref | GoogleScholarGoogle Scholar | open url image1

Gibson LR, Paulsen GM (1999) Yield components of wheat grown under high temperature stress during reproductive growth. Crop Science 39, 1841–1846. open url image1

GRDC (2007) Strategic research and development plan 2007–2012. Grains Research and Development Corporation, Kingston, ACT. Available at: www.grdc.com.au/uploads/documents/GRDC%20Strategic%20R&D%20Plan%202007-12.pdf

Hochman Z, Dang YP, Schwenke GD, Dalgliesh NP, Routley R, McDonald M, Daniells IG, Manning W, Poulton PL (2007) Three approaches to simulating impacts of saline and sodic subsoils on wheat crops in the Northern Grain Zone. Australian Journal of Agricultural Research 58, 802–810.
Crossref | GoogleScholarGoogle Scholar | open url image1

Hochman Z, van Rees H, Carberry PS, Hunt JR, McCown RL, Gartmann A, Holzworth D, van Rees S, Dalgliesh NP, Long W, Peake AS, Poulton PL (2009) Re-inventing model-based decision support with Australian dryland farmers: 4. Yield Prophet® helps farmers monitor and manage crops in a variable climate. Crop and Pasture Science 60, (In press). open url image1

Hunt JR , van Rees H , Hochman Z , Carberry P , Holzworth D , Dalgliesh NP , Brennan L , Poulton PL , van Rees S , Huth N , Peake AS (2006) Yield Prophet®: An online crop simulation service. In ‘Ground-breaking stuff. Proceedings of the 13th Australian Agronomy Conference’. 10–14 Sept. 2006, Perth, W. Aust. (Eds NC Turner, T Acuna, RC Johnson) (Australian Society of Agronomy) Available at: www.regional.org.au/au/asa/2006/concurrent/adoption/4645_huntj.htm

Jeffrey SJ, Carter JO, Moodie KB, Beswick AR (2001) Using spatial interpolation to construct a comprehensive archive of Australian climate data. Environmental Modelling & Software 16, 309–330.
Crossref | GoogleScholarGoogle Scholar | open url image1

Johnston RM, Barry SJ, Bleys E, Bui EN, Moran CJ, Simon DAP, Carlile P, McKenzie NJ, Henderson BL, Chapman G, Imhoff M, Maschmedt D, Howe D, Grose C, Schoknecht N, Powell B, Grundy M (2003) ASRIS: the database. Australian Journal of Soil Research 41, 1021–1036.
Crossref | GoogleScholarGoogle Scholar | open url image1

Keating BA, Carberry PS, Hammer GL, Probert ME, Robertson MJ, Holzworth D, Huth NI, Hargreaves JNG, Meinke H, Hochman Z, McLean G, Verburg K, Snow V, Dimes JP, Silburn M, Wang E, Brown S, Bristow KL, Asseng S, Chapman S, McCown RL, Freebairn DM, Smith CJ (2003) The Agricultural Production Systems Simulator (APSIM): its history and current capability. European Journal of Agronomy 18, 267–288.
Crossref | GoogleScholarGoogle Scholar | open url image1

Kirkegaard JA, Lilley JM, Howe GN, Graham JM (2007) Impact of subsoil water use on wheat yield. Australian Journal of Agricultural Research 58, 303–315.
Crossref | GoogleScholarGoogle Scholar | open url image1

Lilley JM, Kirkegaard JA (2007) Seasonal variation in the value of subsoil water to wheat: simulation studies in southern New South Wales. Australian Journal of Agricultural Research 58, 1115–1128.
Crossref | GoogleScholarGoogle Scholar | open url image1

Lisson SN, Kirkegaard JA, Robertson MJ, Zwart A (2007) What is limiting canola yield in southern New South Wales? A diagnosis of causal factors. Australian Journal of Experimental Agriculture 47, 1435–1445.
Crossref | GoogleScholarGoogle Scholar | open url image1

Marcellos H, Single WV (1984) Frost injury in wheat ears after ear emergence. Australian Journal of Plant Physiology 11, 7–15. open url image1

McKenzie NJ , Jacquier DW , Maschmedt DJ , Griffin EA , Brough DM (2005) ‘The Australian Soil Resource Information System: technical specifications.’ Version 1.5. National Committee on Soil and Terrain Information/Australian Collaborative Land Evaluation Program, Canberra. Available at: www.asris.csiro.au

Oliver Y , Robertson MJ , Stone P (2008) Modification to the French and Schultz formula to account for soil type and within-season rainfall. In ‘Proceedings of the 14th Australian Agronomy Conference’. 21–25 Sept. 2008, Adelaide, S. Aust. (Ed. M Unkovich) (The Regional Institute Ltd: Gosford, NSW)

Passioura J (2007) The drought environment: physical, biological and agricultural perspectives. Journal of Experimental Botany 58, 113–117.
Crossref | GoogleScholarGoogle Scholar | PubMed | open url image1

Ritchie JT (1983) Efficient water use in crop production: discussion on the generality of relations between biomass production and evapotranspiration. In ‘Limitations to efficient water use in crop production’. (Eds HM Taylor et al.) pp. 29–44. (ASA: Madison, WI)

Robertson MJ, Carberry PS, Lucy M (2000) Evaluation of a new cropping option using a participatory approach with on-farm monitoring and simulation: a case study of spring-sown mungbeans. Australian Journal of Agricultural Research 51, 1–12.
Crossref | GoogleScholarGoogle Scholar | open url image1

Robertson MJ, Kirkegaard JA (2005) Water-use efficiency of dryland canola in an equi-seasonal rainfall environment. Australian Journal of Agricultural Research 56, 1373–1386.
Crossref |
open url image1

Rodriguez D, Sadras VO (2007) The limit to wheat water-use efficiency in eastern Australia. I. Gradients in the radiation environment and atmospheric demand. Australian Journal of Agricultural Research 58, 287–302.
Crossref | GoogleScholarGoogle Scholar | open url image1

Sadras VO, Angus JF (2006) Benchmarking water use efficiency of rainfed wheat crops in dry mega-environments. Australian Journal of Agricultural Research 57, 847–856.
Crossref | GoogleScholarGoogle Scholar | open url image1

Sadras VO, Rodriguez D (2007) The limit to wheat water-use efficiency in eastern Australia. II. Influence of rainfall patterns. Australian Journal of Agricultural Research 58, 657–669.
Crossref | GoogleScholarGoogle Scholar | open url image1

Siddique KHM, Tennant D, Perry MW, Beldford RK (1990) Water use and water use efficiency of old and modern wheat cultivars in a Mediterranean-type environment. Australian Journal of Agricultural Research 41, 431–447.
Crossref | GoogleScholarGoogle Scholar | open url image1

Stone PJ, Nicolas ME (1995) Wheat cultivars vary widely in their responses of grain yield and quality to short periods of post-anthesis heat stress. Australian Journal of Agricultural Research 46, 475–492.
Crossref | GoogleScholarGoogle Scholar | open url image1

Wang E, Cresswell H, Xu J, Jiang Q (2009) Capacity of soils to buffer impact of climate variability and value of season forecasts. Agricultural and Forest Meteorology 149, 38–50.
Crossref | GoogleScholarGoogle Scholar | open url image1

Wang E , van Oosterom EJ , Meinke H , Asseng S , Robertson MJ , Huth NI , Keating BA , Probert ME (2003) The new APSIM-Wheat model – performance and future improvements. In ‘Solutions for a better environment: Proceedings of the 11th Australian Agronomy Conference’. Geelong, Victoria. Available at: www.regional.org.au/au/asa/2003/p/2/wang.htm. No. 794.