How we used APSIM to simulate conservation agriculture practices in the rice-wheat system of the Eastern Gangetic Plains
Tài liệu tham khảo
Aggarwal, 1995, Puddling and N management effects on crop response in a rice-wheat cropping system, Soil Tillage Res., 36, 129, 10.1016/0167-1987(95)00504-8
Aggarwal, 2006, InfoCrop: a dynamic simulation model for the assessment of crop yields, losses due to pests, and environmental impact of agro-ecosystems in tropical environments. I. Model description, Agric. Syst., 89, 1, 10.1016/j.agsy.2005.08.001
Akhter, 2014, Changing irrigation scheduling to increase water productivity of triple rice system in grey terrace soil of Bangladesh, 35
Amarasingha, 2015, Simulation of crop and water productivity for rice (Oryza sativa L.) using APSIM under diverse agro-climatic conditions and water management techniques in Sri Lanka, Agric. Water Manag., 160, 132, 10.1016/j.agwat.2015.07.001
Amarasingha, 2017, Improving water productivity in moisture-limited rice-based cropping systems through incorporation of maize and mungbean: a modelling approach, Agric. Water Manag., 189, 111, 10.1016/j.agwat.2017.05.002
APHA, 2017, 4500-Nitrate in water by colorimetry and cadmium reduction
Balwinder-Singh, 2011, The effects of mulch and irrigation management on wheat in Punjab, India-Evaluation of the APSIM model, Field Crops Res., 124, 1, 10.1016/j.fcr.2011.04.016
Balwinder-Singh, 2015, Options for increasing the productivity of the rice-wheat system of north west India while reducing groundwater depletion. Part 2. Is conservation agriculture the answer?, Field Crops Res., 173, 81, 10.1016/j.fcr.2014.11.019
Bouman, 2006, Description and evaluation of the rice growth model ORYZA2000 under nitrogen-limited conditions, Agric. Syst., 87, 249, 10.1016/j.agsy.2004.09.011
Brisson, 2003, An overview of the crop model stics, Eur. J. Agron., 18, 309, 10.1016/S1161-0301(02)00110-7
Carberry, 2002, Role of modelling in improving nutrient efficiency in cropping systems, 319
Chaki, 2021, The value of conservation agriculture (CA) technologies in improving productivity and resource-use efficiency for farmers in the Eastern Gangetic Plains (EGP) of Bangladesh, 248
Chaki, 2021, Conservation agriculture enhances the rice-wheat system of the Eastern Gangetic Plains in some environments, but not in others, Field Crops Res., 265, 10.1016/j.fcr.2021.108109
Chaki, 2021, Puddled and zero-till unpuddled transplanted rice are each best suited to different environments – an example from two diverse locations in the Eastern Gangetic Plains of Bangladesh, Field Crops Res., 262, 10.1016/j.fcr.2020.108031
Chaki, A.K., Gaydon, D.S., Dalal, R.C., Bellotti, W.D., Menzies, N.W., 2019a. Conservation agriculture practices lead to increased water and nitrogen use efficiency in the rice-wheat system of the Eastern Gangetic Plains (EGP), Rajshahi, Bangladesh. 2019 ASA-CSSA-SSSA International Annual Meeting, San Antonio, Texas, USA. 〈https://scisoc.confex.com/scisoc/2019am/meetingapp.cgi/Paper/118367〉.
Chaki, A.K., Gaydon, D.S., Dalal, R.C., Bellotti, W.D., Menzies, N.W., 2019b. Evaluation of the APSIM model in conservation agriculture practices of the rice-wheat-mungbean system in the Eastern Gangetic Plains (EGP) of Rajshahi, Bangladesh. 2019 ASA-CSSA-SSSA International Annual Meeting, San Antonio, Texas, USA. 〈https://scisoc.confex.com/scisoc/2019am/meetingapp.cgi/Paper/118368〉.
Choudhary, 2018, Changes in soil biology under conservation agriculture based sustainable intensification of cereal systems in Indo-Gangetic Plains, Geoderma, 313, 193, 10.1016/j.geoderma.2017.10.041
Corbeels, 2016, Performance and sensitivity of the DSSAT crop growth model in simulating maize yield under conservation agriculture, Eur. J. Agron., 76, 41, 10.1016/j.eja.2016.02.001
Dobermann, A., Witt, C., 2000. The potential impact of crop intensification on carbon and nitrogen cycling in intensive rice systems, in: Kirk, G.L.D., Olk, D.C. (Eds.), Carbon and nitrogen dynamics in flooded soils. Proceedings of the workshop on Carbon and Nitrogen Dynamics in Flooded Soils. IRRI, Makati City (Philippines), pp. 1–25.
Fukai, 1999, Phenology in rainfed lowland rice, Field Crops Res., 64, 51, 10.1016/S0378-4290(99)00050-7
Gathala, 2011, Effect of tillage and crop establishment methods on physical properties of a medium-textured soil under a seven-year rice-wheat rotation, Soil Sci. Soc. Am. J., 75, 1851, 10.2136/sssaj2010.0362
Gathala, 2020, Enabling smallholder farmers to sustainably improve their food, energy and water nexus while achieving environmental and economic benefits, Renew. Sustain. Energy Rev., 120, 10.1016/j.rser.2019.109645
Gaydon, 2017, Evaluation of the APSIM model in cropping systems of Asia, Field Crops Res., 204, 52, 10.1016/j.fcr.2016.12.015
Gaydon, 2018, 135
Gaydon, 2012, Rice in cropping systems-Modelling transitions between flooded and non-flooded soil environments, Eur. J. Agron., 39, 9, 10.1016/j.eja.2012.01.003
Gaydon, 2012, Modelling the role of algae in rice crop nutrition and soil organic carbon maintenance, Eur. J. Agron., 39, 35, 10.1016/j.eja.2012.01.004
Hobbs, 2007, Conservation agriculture: what is it and why is it important for future sustainable food production?, J. Agric. Sci., 145, 127, 10.1017/S0021859607006892
Hochman, 2013, Prospects for ecological intensification of Australian agriculture, Eur. J. Agron., 44, 109, 10.1016/j.eja.2011.11.003
Holzworth, 2014, APSIM - evolution towards a new generation of agricultural systems simulation, Environ. Model. Softw., 62, 327, 10.1016/j.envsoft.2014.07.009
Holzworth, 2014, Agricultural production systems modelling and software: current status and future prospects, Environ. Model. Softw., 30, 1
Humphreys, E., Muirhead, W.A., Fawcett, B.J., Townsend, J.T., Murray, E.A., 1996. Puddling in mechanised rice culture: impacts on water use and the productivity of rice and post-rice crops, in: Kirchhof, G., So, H.B. (Eds.), Management of Clay Soils for Rrainfed Lowland Rice-based Cropping Systems. Proceedings of ACIAR International Workshop Held at Bureau of Soil and Water Management, Quezon City, Manila. ACIAR Proceedings No. 70, pp. 213–218.
Huth, 2012, SWIM 3: model use, calibration, and validation, Trans. ASABE, 55, 1303, 10.13031/2013.42243
Islam, 2019, Conservation agriculture based sustainable intensification: increasing yields and water productivity for smallholders of the Eastern Gangetic Plains, Field Crops Res., 238, 1, 10.1016/j.fcr.2019.04.005
Izaurralde, 2006, Simulating soil C dynamics with EPIC: model description and testing against long-term data, Ecol. Model., 192, 362, 10.1016/j.ecolmodel.2005.07.010
Jat, 2020, Conservation agriculture for sustainable intensification in South Asia, Nat. Sustain., 3, 336, 10.1038/s41893-020-0500-2
Jing, 2010, Modeling biomass, nitrogen and water dynamics in rice–wheat rotations, Agric. Syst., 103, 433, 10.1016/j.agsy.2010.04.001
Jones, 2003, The DSSAT cropping system model, Eur. J. Agron., 18, 235, 10.1016/S1161-0301(02)00107-7
Keating, 2003, An overview of APSIM, a model designed for farming systems simulation, Eur. J. Agron., 18, 267, 10.1016/S1161-0301(02)00108-9
Keating, 2002, Use of modelling to explore the water balance of dryland farming systems in the Murray-Darling Basin, Australia, Eur. J. Agron., 18, 159, 10.1016/S1161-0301(02)00102-8
Keulen, H., Wolf, J., 1986. Modelling of agricultural production: weather, soils and crops. Pudoc Wageningen, the Netherlands.
Khaliq, 2019, Analyzing crop yield gaps and their causes using cropping systems modelling–a case study of the Punjab rice-wheat system, Pakistan, Field Crops Res., 232, 119, 10.1016/j.fcr.2018.12.010
Kukal, 2002, Percolation losses of water in relation to puddling intensity and depth in a sandy loam rice (Oryza sativa) field, Agric. Water Manag., 57, 49, 10.1016/S0378-3774(02)00037-9
Ladha, 2009
Laik, 2014, Integration of conservation agriculture with best management practices for improving system performance of the rice-wheat rotation in the Eastern Indo-Gangetic Plains of India, Agric. Ecosyst. Environ., 195, 68, 10.1016/j.agee.2014.06.001
Li, 2015, Drought stress impacts of climate change on rainfed rice in South Asia, Clim. Change, 133, 709, 10.1007/s10584-015-1487-y
McCown, 1995, APSIM: an agricultural production system simulation model for operational research, Math. Comput. Simul., 39, 225, 10.1016/0378-4754(95)00063-2
McCown, 1996, APSIM: a novel software system for model development, model testing and simulation in agricultural systems research, Agric. Syst., 50, 255, 10.1016/0308-521X(94)00055-V
Mohanty, 2012, Simulating soybean–wheat cropping system: APSIM model parameterization and validation, Agric. Ecosyst. Environ., 152, 68, 10.1016/j.agee.2012.02.013
Mohanty, 2011, Modelling N mineralization from green manure and farmyard manure from a laboratory incubation study, Ecological Modelling, 222, 719, 10.1016/j.ecolmodel.2010.10.027
Mondal, 2012, Effect of brown manure and level of nitrogen on T. Aman rice and subsequent effect on wheat, Nakhon Phanom Univ. J., 8, 24
Naklang, 1996, Growth of rice cultivars by direct seeding and transplanting under upland and lowland conditions, Field Crops Res., 48, 115, 10.1016/S0378-4290(96)01029-5
Probert, 1997, Simulation of legume-cereal systems using APSIM, Crop Pasture Sci., 49, 317, 10.1071/A97070
Probert, 1998, APSIM’s water and nitrogen modules and simulation of the dynamics of water and nitrogen in fallow systems, Agric. Syst., 56, 1, 10.1016/S0308-521X(97)00028-0
Qin, 2006, Role of straw mulching in non-continuously flooded rice cultivation, Agric. Water Manag., 83, 252, 10.1016/j.agwat.2006.01.001
Robertson, 2002, Simulation of growth and development of diverse legume species in APSIM, Crop Pasture Sci., 53, 429, 10.1071/AR01106
Sadras, 2001, Quantification of grain yield response to soil depth in soybean, maize, sunflower, and wheat, Agron. J., 93, 577, 10.2134/agronj2001.933577x
Sanchez, 1973, Puddling tropical rice soils. 2. Effects of water losses, Soil Sci., 115, 303, 10.1097/00010694-197304000-00006
Sharma, 2005, Tillage effects on soil physical properties and performance of rice–wheat-cropping system under shallow water table conditions of Tarai, Northern India, Eur. J. Agron., 23, 327, 10.1016/j.eja.2005.01.003
Stöckle, 2003, CropSyst, a cropping systems simulation model, Eur. J. Agron., 18, 289, 10.1016/S1161-0301(02)00109-0
Thorburn, 2001, Modelling decomposition of sugar cane surface residues with APSIM–Residue, Field Crops Res., 70, 223, 10.1016/S0378-4290(01)00141-1
Timsina, 2010, Rice-maize systems of South Asia: current status, future prospects and research priorities for nutrient management, Plant Soil, 335, 65, 10.1007/s11104-010-0418-y
Verburg, K., Bond, W.J., 2003. Use of APSIM to simulate water balances of dryland farming systems in south eastern Australia. Technical Report 50/03. CSIRO Land and Water, Canberra, Australia.
Verburg, K., Ross, P.J., Bristow, K.L., 1996. SWIMv2. 1 User Manual. Division of Soils divisional report; no. 130. Division of soils, CSIRO, Canberra, Australia.
Wang, 2002, Development of a generic crop model template in the cropping system model APSIM, Eur. J. Agron., 18, 121, 10.1016/S1161-0301(02)00100-4
Whitbread, 2010, How farming systems simulation can aid the development of more sustainable smallholder farming systems in southern Africa, Eur. J. Agron., 32, 51, 10.1016/j.eja.2009.05.004