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Registros recuperados: 6
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Application of the Hybrid-Maize model for limits to maize productivity analysis in a semiarid environment Scientia Agricola
Liu,Yi; Yang,Shenjiao; Li,Shiqing; Chen,Fang.
Effects of meteorological variables on crop production can be evaluated using various models. We have evaluated the ability of the Hybrid-Maize model to simulate growth, development and grain yield of maize (Zea mays L.) cultivated on the Loess Plateau, China, and applied it to assess effects of meteorological variations on the performance of maize under rain-fed and irrigated conditions. The model was calibrated and evaluated with data obtained from field experiments performed in 2007 and 2008, then applied to yield determinants using daily weather data for 2005-2009, in simulations under both rain-fed and irrigated conditions. The model accurately simulated Leaf Area Index , biomass, and soil water data from the field experiments in both years, with...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Crop simulation; Maize model; Potential productivity; Water stress; Spring maize.
Ano: 2012 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162012000500003
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CSM-CERES-Rice model to determine management strategies for lowland rice production Scientia Agricola
Vilayvong,Saythong; Banterng,Poramate; Patanothai,Aran; Pannangpetch,Krirk.
The cropping system model, namely, the crop environment resource synthesis-rice (CSM-CERES-Rice) model, is a decision supporting tool for the design of crop management. This study aimed to determine management practices for increasing rice (Oryza sativa L.) production in Laos by using the CSM-CERES-Rice model. The model was evaluated with data sets from the TDK8 and TDK11 cultivars in farmers’ fields in the Vientiane plain in 2012. Anthesis and harvesting dates, growth and yield for various management scenario combinations (eight transplanting dates × two levels of plant densities × three rates of nitrogen (N) fertilizer application) for both cultivars were simulated by the model from 1980 to 2012. The model evaluation results showed strong agreement...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Crop simulation; N-fertilizer application; Planting practice; Transplanting date.
Ano: 2015 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162015000300229
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Determining the Price-Responsiveness of Demands for Irrigation Water Deliveries versus Consumptive Use AgEcon
Scheierling, Susanne M.; Young, Robert A.; Cardon, Grant E..
A water-crop simulation/mathematical programming model of irrigation water demand in northeastern Colorado is formulated to develop an original concept of derived demand for consumptive use of water. Conventional demand functions for water deliveries are also developed, and the effect of hypothetical price increases on both consumption and delivery are illustrated. Findings indicate that demand elasticity estimates are quite sensitive to model specification, and consumptive use demand tends to be significantly less price-responsive than delivery demand. Thus price incentives are likely to have only limited impacts on basin-wide water consumption and would not make much additional water available for emerging demands.
Tipo: Journal Article Palavras-chave: Crop simulation; Irrigation; Mathematical programming; Water conservation; Water-demand elasticities; Water policy; Demand and Price Analysis; Resource /Energy Economics and Policy.
Ano: 2004 URL: http://purl.umn.edu/31107
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Planning of the Agrifood supply chain: a case study for the FVG region AgEcon
Rosa, Franco; Sossai, E.; Vasciaveo, Michela.
The aim of this paper is to discuss the planning of regional Agri-food supply chain using an integrated database territorial information. The objective is to optimize the chain performance using alternative solutions. Evidences are obtained with a case study performed in FVG region applied to maize-crop. Firstly it is explored the chain network composed by farms, collection points and processing plants; then territorial, agronomic and climate information are integrated to simulate realistic production forecast model applied to maize crop. Finally a program from graph analysis is used to allocate the production through the chain. The economic performance is evaluated using the net revenues varying with the intensification of maize production and adoption of...
Tipo: Conference Paper or Presentation Palavras-chave: Data integration; Supply chain; Decision support system; Crop simulation; Regional policy.; Agribusiness; Agricultural and Food Policy; Community/Rural/Urban Development; Food Consumption/Nutrition/Food Safety; Labor and Human Capital.
Ano: 2010 URL: http://purl.umn.edu/95226
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PRICE-RESPONSIVENESS OF DEMAND FOR IRRIGATION WATER WITHDRAWALS VS. CONSUMPTIVE USE: ESTIMATES AND POLICY IMPLICATIONS AgEcon
Young, Robert A.; Cardon, Grant E.; Scheierling, Susanne M..
Of water withdrawn for agricultural crop irrigation, a portion is consumed and the remainder comes back to the hydrologic system as return flows. Previous models of irrigation water demand have mostly focused on the change in withdrawals in response to price changes, even though knowledge of the response of consumptive use is often more significant for river basin planning. This study develops a simulation/mathematical programming model of water demand representing an irrigation company in northeastern Colorado to analyze the effect of hypothetical price increases on both the demand for withdrawals and a derived demand for consumptive use. The results demonstrate that consumptive use demand tends to be significantly less price-responsive than withdrawal...
Tipo: Conference Paper or Presentation Palavras-chave: Crop simulation; Irrigation; Linear programming; Water conservation; Water-demand elasticities; Water policy; Resource /Energy Economics and Policy.
Ano: 2003 URL: http://purl.umn.edu/35974
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Revisiting N fertilisation rates in low-rainfall grain cropping regions of Australia: A risk analysis AgEcon
Monjardino, Marta; McBeath, T.; Brennan, Lisa E.; Llewellyn, Rick S..
Mallee farmers minimize downside risk in dry seasons by applying low rates of nitrogen (N) fertiliser to their cereal crops. The opportunity to respond to and capitalize on the better years is further limited as most inputs are applied upfront at sowing. We used an economic-risk decision model to identify a range of tactical N fertilisation options that increase net returns, while minimising risk for farmers with different risk attitudes. Importantly, we concluded that when accounting for long-term risks affecting farmers, the use of higher N rates can play a risk-reducing role in a highly variable environment like the Mallee.
Tipo: Presentation Palavras-chave: Nitrogen; Risk; Variance; Crop simulation; Economic net returns; Decision analysis; Zone management; Monte Carlo; Mallee; Crop Production/Industries; Risk and Uncertainty.
Ano: 2012 URL: http://purl.umn.edu/124339
Registros recuperados: 6
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