Перейти к основному содержанию
AkademIndex

Продукты

Для разработчиков

AkademBaseОткрытый API экосистемы
Статья

Evaluation of the APSIM model in cropping systems of Asia

Donald S. GaydonCSIRO Agriculture and Food, AustraliaBalwinder SinghCIMMYT-India, NASC Complex, DPS Marg, New Delhi 110012, IndiaEnli WangCSIRO Agriculture and Food, AustraliaPerry PoultonCSIRO Agriculture and Food, AustraliaBashir AhmadClimate Change, Alternate Energy and Water Resources Institute (CAEWRI), National Agricultural Research Center (NARC) NIH, Shehzad Town, Park Road, Islamabad, PakistanFahim AhmedBangladesh Agricultural Research Institute (BARI), Gazipur, BangladeshS. AkhterBangladesh Agricultural Research Institute (BARI), Gazipur, BangladeshIrfan AliNatural Resources Division, Pakistan Agricultural Research Council, Islamabad, PakistanR.P.R.K. AmarasinghaFaculty of Agriculture, University of Peradeniya, Peradeniya, Sri LankaApurbo Kumar ChakiBangladesh Agricultural Research Institute (BARI), Gazipur, BangladeshC. ChenCSIRO Agriculture and Food, AustraliaBurhan U. ChoudhuryICAR Research Complex for NEH Region, Umiam, Meghalaya 793 103, IndiaRajendra DaraiNepal Agricultural Research Council, National Grain Legumes Research Program, Rampur, Chitwan, NepalAnup DasICAR Research Complex for NEH Region, Umiam, Meghalaya 793 103, IndiaZvi HochmanCSIRO Agriculture and Food, AustraliaHeidi HoranCSIRO Agriculture and Food, AustraliaEvert Y. HosangCSIRO Agriculture and Food, AustraliaPraveen KumarCentral Research Institute for Dryland Agriculture (CRIDA), Hyderabad, IndiaAqsa KhanBangladesh Agricultural Research Institute (BARI), Gazipur, BangladeshAlison M. LaingCSIRO Agriculture and Food, AustraliaLi LiuCSIRO Agriculture and Food, AustraliaM.A.P.W.K. MalaviachichiField Crops Research and Development Institute, Department of Agriculture, Mahailluppallama, Sri LankaK. P. MohapatraMA MuttalebCentral Research Institute for Dryland Agriculture (CRIDA), Hyderabad, IndiaBrendan PowerICAR Research Complex for NEH Region, Umiam, Meghalaya 793 103, IndiaAndo M. RadanielsonCSIRO Agriculture and Food, AustraliaGyanendra RaiNepal Agricultural Research Council, National Grain Legumes Research Program, Rampur, Chitwan, NepalMH RashidBangladesh Rice Research Institute (BRRI), Gazipur, Bangladesh;W.M.U.K. RathanayakeM.M.R. SarkerBangladesh Agricultural Research Institute (BARI), Gazipur, BangladeshD.R. SenaICAR—Indian Institute of Soil & Water Conservation, Dehradun, IndiaMohammad ShamimCSIRO Agriculture and Food, AustraliaN. SubashCSIRO Agriculture and Food, AustraliaAhmad SuriadiBalai Pengkajian Technology Pertanian Nusa Tengarra Barat (BPTPNTB), IndonesiaL. D. B. SuriyagodaFaculty of Agriculture Univ. of Peradeniya Peradeniya Sri LankaGuocheng WangCSIRO Agriculture and Food, AustraliaJing WangCSIRO Agriculture and Food, AustraliaRajender Kumar YadavBangladesh Agricultural Research Institute (BARI), Gazipur, BangladeshChristian RothCSIRO Agriculture and Food, Australia
2017en
ABI

Аннотация

Resource shortages, driven by climatic, institutional and social changes in many regions of Asia, combined with growing imperatives to increase food production whilst ensuring environmental sustainability, are driving research into modified agricultural practices. Well-tested cropping systems models that capture interactions between soil water and nutrient dynamics, crop growth, climate and farmer management can assist in the evaluation of such new agricultural practices. One such cropping systems model is the Agricultural Production Systems Simulator (APSIM). We evaluated APSIM’s ability to simulate the performance of cropping systems in Asia from several perspectives: crop phenology, production, water use, soil dynamics (water and organic carbon) and crop CO2 response, as well as its ability to simulate cropping sequences without reset of soil variables. The evaluation was conducted over a diverse range of environments (12 countries, numerous soils), crops and management practices throughout the region. APSIM’s performance was statistically assessed against assembled replicated experimental datasets. Once properly parameterised, the model performed well in simulating the diversity of cropping systems to which it was applied with RMSEs generally less than observed experimental standard deviations (indicating robust model performance), and with particular strength in simulation of multi-crop sequences. Input parameter estimation challenges were encountered, and although ‘work-arounds’ were developed and described, in some cases these actually represent model deficiencies which need to be addressed. Desirable future improvements have been identified to better position APSIM as a useful tool for Asian cropping systems research into the future. These include aspects related to harsh environments (high temperatures, diffuse light conditions, salinity, and submergence), conservation agriculture, greenhouse gas emissions, as well as aspects more specific to Southern Asia and low input systems (such as deficiencies in soil micro-nutrients).

Перевод пока недоступен

Идентификаторы

Цитирования и источники

Цитирований: 2Использованных источников: 0