An exploratory evaluation of APSIM to simulate growth and yield processes for winter cereals in rotation systems in South Australia

Yunusa, IA; Bellotti, WD; Moore, AD; Probert, ME; Baldock, JA; Miyan, SM

An exploratory evaluation of APSIM to simulate growth and yield processes for winter cereals in rotation systems in South Australia

Yunusa, IA Bellotti, WD Moore, AD Probert, ME Baldock, JA Miyan, SM

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Publisher:: C S I R O Publishing
Publication Type:: Journal Article
Citation:: Australian Journal Of Experimental Agriculture, 2004, 44 pp. 787 - 800
Issue Date:: 2004-01

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Field	Value	Language
dc.contributor.author	Yunusa, IA	en_US
dc.contributor.author	Bellotti, WD	en_US
dc.contributor.author	Moore, AD	en_US
dc.contributor.author	Probert, ME	en_US
dc.contributor.author	Baldock, JA	en_US
dc.contributor.author	Miyan, SM	en_US
dc.date.issued	2004-01	en_US
dc.identifier.citation	Australian Journal Of Experimental Agriculture, 2004, 44 pp. 787 - 800	en_US
dc.identifier.issn	0816-1089	en_US
dc.identifier.uri	http://hdl.handle.net/10453/3882
dc.description.abstract	The Agricultural Preoduction Systems Simulator (APSIM) suite of models was used to predict dynamics in water and nitrogen in soil, as well as the growth and yield of sequential srops of wheat ands barley in pasture-wheat-barley rotations, between 1995 and 1997 at Rosewirthy, South Australia. The NWHEAT model satisfactorily predicted above ground dry matter, leaf area index and grain yields for both crops in rotations with wither grassy (Grass) or medi (Medic) pastues, including the lack of significant response of yiled to nitrogen fertiliser applied to whaet at sowing. Simulation data for soil water, from SOILWAT2, was consistent with measured data. Simulation with SOILN2, however, largely underestimated soil nitrogen, due to excessive uptage by the simulated wheat during the season when nitrogen was abundant and water supply readily available. Thus, the soil nitrate had to be reset at sowing for the following barley crop; simulated soil nitrate agreed with the measured data in this season when this nutrient was low. For most variables fo crop growth and soil water, the simulated data was mostly within 2 standard errors of the measured means. Prediction of grain protein was underestimated in all cases,including where nitrogen in the shoot was overestimated. This was possibily due to inadequate remobilisation of nitrogen fromt he staw and roots to the grain by the simulated crop. This study demostrated the capability fo APSIM to predict growth and grain yield of wheat and barley, as well as the associated dynamics of soild water int he main cereal belts of South Australia.	en_US
dc.publisher	C S I R O Publishing	en_US
dc.relation.ispartof	Australian Journal Of Experimental Agriculture	en_US
dc.relation.isbasedon	10.1071/EA03121	en_US
dc.subject.classification	Agronomy & Agriculture	en_US
dc.title	An exploratory evaluation of APSIM to simulate growth and yield processes for winter cereals in rotation systems in South Australia	en_US
dc.type	Journal Article
utslib.citation.volume	44	en_US
utslib.for	0703 Crop and Pasture Production	en_US
utslib.for	05 Environmental Sciences	en_US
utslib.for	06 Biological Sciences	en_US
utslib.for	07 Agricultural and Veterinary Sciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.volume	44	en_US

Abstract:

The Agricultural Preoduction Systems Simulator (APSIM) suite of models was used to predict dynamics in water and nitrogen in soil, as well as the growth and yield of sequential srops of wheat ands barley in pasture-wheat-barley rotations, between 1995 and 1997 at Rosewirthy, South Australia. The NWHEAT model satisfactorily predicted above ground dry matter, leaf area index and grain yields for both crops in rotations with wither grassy (Grass) or medi (Medic) pastues, including the lack of significant response of yiled to nitrogen fertiliser applied to whaet at sowing. Simulation data for soil water, from SOILWAT2, was consistent with measured data. Simulation with SOILN2, however, largely underestimated soil nitrogen, due to excessive uptage by the simulated wheat during the season when nitrogen was abundant and water supply readily available. Thus, the soil nitrate had to be reset at sowing for the following barley crop; simulated soil nitrate agreed with the measured data in this season when this nutrient was low. For most variables fo crop growth and soil water, the simulated data was mostly within 2 standard errors of the measured means. Prediction of grain protein was underestimated in all cases,including where nitrogen in the shoot was overestimated. This was possibily due to inadequate remobilisation of nitrogen fromt he staw and roots to the grain by the simulated crop. This study demostrated the capability fo APSIM to predict growth and grain yield of wheat and barley, as well as the associated dynamics of soild water int he main cereal belts of South Australia.

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http://hdl.handle.net/10453/3882