|تعداد مشاهده مقاله||104,968,412|
|تعداد دریافت فایل اصل مقاله||82,040,256|
Evaluation of the Modified VegSyst Model to Simulate Growth, Nitrogen Uptake and Evapotranspiration of Pumpkin (Cucurbita pepo L.) Under Different Management Practices
|International Journal of Horticultural Science and Technology|
|مقاله 12، دوره 4، شماره 2، اسفند 2017، صفحه 273-301 اصل مقاله (767.86 K)|
|نوع مقاله: Research paper|
|شناسه دیجیتال (DOI): 10.22059/ijhst.2018.242409.207|
|Mohammad Reza Naderi؛ Mohammad Bannayan ؛ Morteza Goldani؛ Amin Alizadeh|
|Department of Agronomy, Faculty of Agriculture, Ferdowsi university of Mashhad, Mashhad, Iran.|
|Simulation models can be used for predicting crop behavior under various environmental conditions and management practices. By prediction of crop behavior, it may be possible to adopt management practices which can maximize crop growth and yield. In this study, the VegSyst model which was introduced for simulation of daily crop dry weight (DW), fraction of intercepted PAR (fi-PAR), crop N uptake and crop evapotranspiration (ETc) of vegetables grown under intensively managed greenhouse conditions, was modified by attaching a component for simulation of the daily radiation use efficiency (RUE) and by introducing corrective factors for non-optimum growth conditions in order to apply it under field conditions and various management practices. The modified VegSyst model was calibrated and validated for pumpkin using growth data obtained from four years field experiments (2010, 2012, 2013 and 2014). This model very accurately simulated dry weight, fraction of intercepted PAR, radiation use efficiency, crop N uptake and crop evapotranspiration under optimum conditions for pumpkin growth (i.e. nitrogen rate of 250 kg ha-1, plant density of 2.5 plant m-2 and sowing date between 1-11 May). Under non-optimum growth conditions, model performance for simulating growth parameters of pumpkin was mostly very good or good. Suitable performance of the modified VegSyst model in simulation of DW, fi-PAR, RUE, N uptake and ETc of pumpkin under optimum and non-optimum growth conditions indicated that this model can be effectively used for studying growth of this important medicinal and forgotten crop under different management practices including nitrogen regimes, plant densities and sowing dates.|
|: Forgotten crops؛ Field conditions؛ Radiation use efficiency؛ Crop Modeling؛ Model performance|
Ameri A.A, Nassiri Mahallati M. 2009. Effects of nitrogen application and plant densities on flower yield, essential oils, and radiation use efficiency of Marigold (Calendula officinalis L.). In Natural Resources 81, 133-144.
Amiri E, Razavipour T, Farid A, Bannayan M. 2011. Effects of Crop Density and Irrigation Management on Water Productivity of Rice Production in Northern Iran: Field and Modeling Approach. Communications in Soil Science and Plant Analysis 42, 2085-2099.
Amiri E, Rezaei M, Bannayan M, Soufizadeh S. 2013. Calibration and Evaluation of CERES-Rice model under different N and water management options in Semi-Mediterranean climate condition. Communications in Soil Science and Plant Analysis 44, 1814-1830.
Aulakh M.S, Malhi S.S. 2005. Interactions of nitrogen with other nutrients and water: effect on crop yield and quality, nutrient use efficiency, carbon sequestration, and environmental pollution. Advances in Agronomy 86, 341-409.
Bannayan M, Crout N.M.J, Hoogenboom G. 2003. Application of the CERES-Wheat model for within-season prediction of winter wheat yield in the United Kingdom. Journal of Agrobiology 95,114-125.
Bannayan M, Lakzian A, Gorbanzadeh N, Roshani A. 2011. Variability of growing season indices in northeast of Iran. Theoretical and Applied Climatology 105, 485-494.
Bannayan M, Sanjani S. 2011. Weather conditions associated with irrigated crops in an arid and semi arid Environment. Agricultural and Forest Meteorology 151, 1589-1598.
Bannayan M, Eyshi Rezaei E, Hoogenboom G. 2013. Determining optimum planting dates for rainfed wheat using the precipitation uncertainty model and adjusted crop evapotranspiration. Agricultural Water Management 126, 56-63.
Bassu S, Asseng S, Motzo R, Giunta F. 2009. Optimising sowing date of durum wheat in a variable Mediterranean environment. Field Crops Research 111, 109-118.
Loy J.B. 2004. Morpho-Physiological Aspects of Productivity and Quality in Squash and Pumpkins (Cucurbita spp.). Critical Reviews in Plant Sciences 23, 337-363.
Cantero-Martinez C, Angas P, Lampurlanes J. 2003. Growth, yield and water productivity of barley (Hordeum vulgare, L.) affected by tillage and N fertilization in Mediterranean semiarid, rainfed conditions of Spain. Field Crops Research 84, 342-357.
Cao W, White J.W, Wang E. 2009. Crop Modeling and Decision Support. Tsinghua University Press, Beijing and Springer Verlag Berlin Heidelberg, 510 p.
Casanova D, Goudriaan J, Forner M.C, Withagen J.C.M. 2002. Rice yield prediction from yield components and limiting factors. European Journal of Agronomy 17, 41-61.
Christos A.D. 2011. Nitrogen nutrition index and its relationship to N use efficiency in linseed. European Journal of Agronomy 34, 124-132.
Deligios P.A, Farci R, Sulas L, Hoogenboom G, Ledda L. 2013. Predicting growth and yield of winter rapeseed in a Mediterranean environment: Model adaptation at a field scale. Field Crops Research 144, 100-112.
Dong H, Kong X, Li W, Tang W, Zhang D. 2010. Effects of plant density and nitrogen and potassium fertilization on cotton yield and uptake of major nutrients in two fields with varying fertility. Field Crops Research 119, 106-113.
Elia A, Conversa G. 2012. Agronomic and physiological responses of a tomato crop to nitrogen input. European Journal of Agronomy 40, 64-74.
Ferrise R, Triossi A, Stratonovitch P, Bindi M, Martre P. 2010. Sowing date and nitrogen fertilisation effects on dry matter and nitrogen dynamics for durum wheat: An experimental and simulation study. Field Crops Research 117, 245-257.
Fletcher A.L, Johnstone P.R, Chakwizira E, Brown H.E. 2013. Radiation capture and radiation use efficiency in response to N supply for crop species with contrasting canopies A. Field Crops Research 150, 126-134.
Gallardo M, Giménez C, Martinez-Gaitán C, Stöckle C.O, Thompson R.B, Granados M.R. 2011. Evaluation of the VegSyst model with muskmelon to simulate crop growth, nitrogen uptake and evapotranspiration. Agricultural Water Management 101, 107-117.
Gayler S, Wang E, Priesack E, Schaaf T, Maidl F.X. 2002. Modeling biomass growth, N-uptake and phenological development of potato crop. Geoderma 105, 367-383.
Greenwood D.J, Neeteson J.J, Draycott A. 1986. Quantitative relationships for the dependence of growth rate of arable crops on their nitrogen content, dry weight and aerial environment. Plant and Soil 91, 281-301.
Hamzei J, Soltani J. 2012. Deficit irrigation of rapeseed for water-saving: Effects on biomass accumulation, light interception and radiation use efficiency under different N rates. Agriculture, Ecosystems & Environment 155, 153-160.
Jahan M, Nassiri Mahallati M, Amiri M.B, Ehyayi H.R. 2013. Radiation absorption and use efficiency of sesame as affected by biofertilizers inoculation in a low input cropping system. Industrial Crops and Products 43, 606-611.
Justes E, Mary B, Meynard J.M, Machet J.M, Thelier-Huches L. 1994. Determination of a critical nitrogen dilution curve for winter wheat crops. Annals of Botany 74, 397-407.
Lashkari A, Alizadeh A, Eyshi Rezaei E, Bannayan M. 2012. Mitigation of climate change impacts on maize productivity in northeast of Iran: A simulation study. Mitigation and Adaptation Strategies for Global Change 17, 1-6.
Lehmann N, Finger R, Klein T, Calanca P, Walter A. 2013. Adapting crop management practices to climate change: Modeling optimal solutions at the field scale. Agricultural Systems 117, 55-65.
Lemaire G, Oosterom E, Jeuffroy M.H, Gastal F, Massignam A. 2008. Crop species present different qualitative types of response to N deficiency during their vegetative growth. Field Crops Research 105, 253-265.
Maddonni G.A, Otegui M.E. 1996. Leaf area, light interception, and crop development in maize. Field Crops Research 48, 81-87.
McMaster G.S, Wilhelm W.W. 1997. Growing degree-days: one equation, two interpretations. Agricultural and Forest Meteorology 87, 291-300.
Morell F.J, Lampurlanes J, Alvaro-Fuentes J, Cantero-Martinez C. 2011. Yield and water use efficiency of barley in a semiarid Mediterranean agroecosystem: Long-term effects of tillage and N fertilization. Soil and Tillage Research 117, 76-84.
Naderi M.R, Bannayan M, Goldani M, Alizadeh A. 2016. Effect of nitrogen application on growth and yield of pumpkin. Journal of Plant Nutrition 40(6), 890-907.
Nosalova G, Prisenznakova L, Kostalova Z, Ebringerova A, Hromadkova Z. 2011. Suppressive effect of pectic polysaccharides from Cucurbita pepo L. var. Styriaca on citric acid-induced cough reflex in guinea pigs. Fitoterapia 82, 357-364.
Peng S.B, Buresh R.J, Huang J.L, Zhong X.H, Zou Y.B, Yang J.C, Wang G.H, Liu Y.Y, Tang Q.Y, Cui K.H, Zhang F.S, Dobermann A. 2010. Improving nitrogen fertilization in rice by site-specific N management. A review. Agronomy for Sustainable Development 30, 649-656.
Pohlert T. 2004. Use of empirical global radiation models for maize growth simulation. Agricultural and Forest Meteorology 126, 47-58.
Pradhan S, Sehgal V.K, Das D.K, Jain A.K, Bandyopadhyay K.K, Singh R, Sharma P.K. 2014. Effect of weather on seed yield and radiation and water use efficiency of mustard cultivars in a semi-arid environment. Agricultural Water Management 139, 43-52.
Razzaghi F, Plauborg F, Jacobsen S.E, Jensen C.R, Andersen M.N. 2012. Effect of nitrogen and water availability of three soil types on yield, radiation use efficiency and evapotranspiration in field-grown quinoa. Agricultural Water Management 109, 20-29.
Rouphael Y, Colla G. 2005. Radiation and water use efficiencies of greenhouse zucchini squash in relation to different climate parameters. European Journal of Agronomy 23, 183-194.
Sadras V.O, Lawson C, Hooper P, McDonald G.K. 2012. Contribution of summer rainfall and nitrogen to the yield and water use efficiency of wheat in Mediterranean-type environments of South Australia. European Journal of Agronomy 36, 41-54.
Setiyonoa T.D, Cassmana K.G, Spechta J.E, Dobermann A, Weiss A, Yang H, Conleye S.P, Robinson A.P, Pederseng P, De Bruinh J.L. 2010. Simulation of soybean growth and yield in near-optimal growth conditions. Field Crops Research 119, 161-174.
Shibu M.E, Leffelaar P.A, Keulen H, Aggarwal P.K. 2010. LINTUL3, a simulation model for nitrogen-limited situations: Application to rice. European Journal of Agronomy 32, 255-271.
Sinclair T.R, Muchow R.C. 1999. Radiation use efficiency. Advances in Agronomy 65, 215-265.
Stöckle C.O, Kjelgaard J, Bellocchi G. 2004. Evaluation of estimated weather data for calculating Penman-Monteith reference crop evapotranspiration. Irrigation Science 23, 39-46.
Subedi K.D, Ma B.L, Xue A.G. 2007. Planting date and nitrogen effects on grain yield and protein content of spring wheat. Crop Science 47, 36-44.
Willmott C.J. 1982. Some comments on the evaluation of model performance. Bulletin of the American Meteorological Society 63, 1309-1313.
Zhou X, Wang G, Fei Y. 2011. Characteristics of growth, nutrient uptake, purification effect of Ipomoea aquatica, Lolium multiflorum, and Sorghum sudanense grown under different nitrogen levels. Desalination 273, 366-374.
Ziadi N, Belanger G, Claessensa A, Lefebvrea L, Cambourisa A.N, Tremblayb N, Nolina M.C, Parentc L.E. 2010. Determination of a critical nitrogen dilution curve for spring wheat. Agronomy Journal 102, 241-250.
تعداد مشاهده مقاله: 235
تعداد دریافت فایل اصل مقاله: 160