Performance of the apsim-wheat model in western australia

(CD-ROM)Д«) Simulating growth and development of canola in Australia. In вЂProceedings of the 10th International Rapeseed CongressвЂ™. Australian Journal of Experimental Agriculture 44,В 43вЂ“52.ДЄ) Response of canola and Indian mustard to sowing date in risky Australian environments. (2004 ) Response of canola and Indian mustard to sowing date in the grain belt of north-eastern Australia. Australian Journal of Agricultural Research 55,В 525вЂ“538. (2004 ) Production risk of canola in the semi-arid subtropics of Australia. Australian Journal of Agricultural Research 53,В 429вЂ“446. (2002 ) Simulation of growth and development of diverse legume species in APSIM. Australian Journal of Experimental Agriculture 35,В 941вЂ“950. (1995 ) Modelling water, nitrogen, and crop yield for a long-term fallow management experiment. (1998 ) APSIMвЂ™s water and nitrogen modules and simulation of the dynamics of water and nitrogen in fallow systems. European Journal of Agronomy 18,В 267вЂ“288. (2003 ) An overview of APSIM, a model designed for farming systems simulation. Australian Journal of Agricultural Research 29,В 711вЂ“726. and its implications for planting time, designed to avoid water deficit and frost. Predicting plant development of Brassica campestris L. (1978 ) Rapeseed adaptation in northern New South Wales. Australian Journal of Agricultural Research 52,В 623вЂ“634. Dry matter production, grain yield, and yield components. (2001 ) Effects of sowing time and nitrogen fertiliser on canola and wheat, and nitrogen fertiliser on Indian mustard. Effects of nitrogen fertilizer on dry-matter production, seed yield and seed quality. (1997 ) Comparison of canola, Indian mustard and Linola in two contrasting environments. Australian Journal of Agricultural Research 53,В 1155вЂ“1164. (2002 ) Simulating phenology and yield response of canola to sowing date in Western Australia using the APSIM model. (1998 ) Performance of the APSIM-wheat model in Western Australia. Australian Journal of Agricultural Research 52,В 45вЂ“56. (2001 ) Potential deep drainage under wheat crops in a Mediterranean climate. Western Australia Crop Updates, Department of Agriculture WA. (2002) Getting the best out of canola in the low rainfall central wheatbelt. | CrossrefВ | GoogleScholarGoogle ScholarВ | Agricultural Water Management 83,В 183вЂ“196. (2006 ) Effects of soil tillage and fallow management on soil water storage and sunflower production in a semi-arid Mediterranean climate. In contrast, in the high-rainfall zone, canola production is relatively low risk, and could become a reliable component of rotations.

Given the vulnerability of profitability to seasonal conditions, in the low- and medium-rainfall zone, the decision to grow canola should be tactical depending on stored soil water, sowing opportunities, seasonal climate outlook, prices, and costs. Long-term simulation analysis can be used as a tool to establish the latest possible sowing date to achieve profitable canola for different locations and soil types, given different canola prices and growing costs. Variation in oil content was most strongly affected by sowing date and location, while soil type and soil water at sowing had a minor effect.

Soil water at sowing gave a yield advantage in most years in all locations studied, but especially in low- and medium-rainfall locations. Light-textured soils had lower yields and larger yield penalties with delayed sowing than heavy-textured soils.

Yield was negatively related to sowing date. Long-term simulations showed the importance of location, sowing date, soil type, and stored soil water at sowing on grain yield. Analysis of recent trends in canola area showed that poor seasons and price volatility in the last few years have contributed to farmersвЂ™ perception of risk and hence the decline in area sown. Simulations were run using the APSIM-Canola model with long-term climate records for 3 selected locations from the low-, medium-, and high-rainfall zones and different soil types. In this paper we: ( 1) present the recent history of canola production in the context of the long-term climate record ( 2) assess the effect of location, rainfall, soil type, and soil water at sowing on yield and oil content and ( 3) determine cut-off sowing dates for profitable canola production. Due to the short history of canola production in WA, there is little information on yield and oil content expectations in relation to rainfall, location, and soil type. The area of canola in the wheat-based farming systems of the wheatbelt of Western Australia (WA) expanded rapidly during the 1990s and has subsequently decreased.

Performance of the apsim-wheat model in western australia