2010
DOI: 10.1071/cp09352
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Pulse crops in rotation with cereals can be a profitable alternative to nitrogen fertiliser in central Queensland

Abstract: Empirical and simulation results from three crop rotations incorporating cereals, pulses and nitrogen (N) fertiliser application were examined over 4 years in a subtropical environment, central Queensland, Australia. The hypothesis was that pulse crops in rotation with cereals would be a viable alternative to applying N fertilisers and would improve farm business economic performance provided the yield potential of pulses were not compromised by planting into very low soil water situations. Empirical data and … Show more

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Cited by 15 publications
(14 citation statements)
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References 20 publications
(4 reference statements)
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“…They can also provide useful rotation breaks for some cereal diseases. In the northern grain region, chickpea is the principal grain legume and, compared with wheat, it is considered to increase the yield of following wheat through increased nitrogen supply and nitrogen-sparing (Herridge et al 1995;Dalal et al 1998;Cox et al 2010) and reduction in inoculum of Fusarium pseudograminearum O'Donnell & T Aoki, the causal organism of crown rot of cereals (Felton et al 1998).…”
Section: Introductionmentioning
confidence: 99%
“…They can also provide useful rotation breaks for some cereal diseases. In the northern grain region, chickpea is the principal grain legume and, compared with wheat, it is considered to increase the yield of following wheat through increased nitrogen supply and nitrogen-sparing (Herridge et al 1995;Dalal et al 1998;Cox et al 2010) and reduction in inoculum of Fusarium pseudograminearum O'Donnell & T Aoki, the causal organism of crown rot of cereals (Felton et al 1998).…”
Section: Introductionmentioning
confidence: 99%
“…Similar estimates have been calculated for field pea [41], and in the present study, we estimate these values at 170, 135 and 75 kg·N·ha −1 fixed by S1, S2 and S3 field pea crops, respectively. These represent significant inputs to soil N that could be used by cereal crops following legumes as a rotation [18].…”
Section: Growth and Yield Of Grain Legumes In Post-rice Soilmentioning
confidence: 99%
“…Hence, post-rice soils are not always suitable for immediate cultivation of aerobic crops following rice harvest [17]. However, it would be desirable to determine if a high value pulse crop could be grown following rice to improve profitability, weed management and soil properties for successive rotations and, hence, the sustainability of the cropping system [18]. Production of leguminous crops following rice offers numerous potential advantages, including more efficient use of irrigation water in contrast to post-fallow [19] and reduction of weed pressure [8,20].…”
Section: Introductionmentioning
confidence: 99%
“…In developed countries where simulation models are widely used, they have helped improve the understanding of crop eco-physiological responses and allowed researchers to answer basic questions, such as identifying the most suitable and remunerative cropping systems and patterns for different climatic and socioeconomic conditions (Cox et al, 2010;Meinke et al, 2001;Rodriguez et al, 2011). The use of crop and biophysical models capable of generating ex-ante information through the simulation of real world responses to factors such as the climate, soil and management (Bouma and Jones, 2001), has allowed researchers to provide farmers with timely and relevant advice that has helped shape local farming practices.…”
Section: Using Agricultural Simulation Models As Decision Support Toomentioning
confidence: 99%
“…In Australia, for instance, the Agricultural Production Systems Simulator (APSIM) helped researchers identify the most suitable and remunerative cropping systems for different climatic and socio-economic contexts (Cox et al, 2010;Meinke et al, 2001;Rodriguez et al, 2011). Moreover, the integration of simulation modelling in research programs across the world have helped to (1) identify gaps in existing knowledge; (2) generate and test hypothesis to improve the design of experiments; (3) determine the most influential parameters of a system (Matthews and Stephens, 2002b); and (4) bring researchers, experiments and farmers together to discuss problems and identify solutions in participatory modelling exercises (Whitbread et al, 2010).…”
Section: Introductionmentioning
confidence: 99%