Incorporating Yield Information from a Biogeochemical Model into an Agricultural Production Model to Infer Adoption of a New Bioenergy Crop

2011 ◽  
pp. 89-108
Author(s):  
P. Mérel ◽  
F. Yi ◽  
S. Bucaram ◽  
J. Lee ◽  
R. Howitt ◽  
...  
Keyword(s):  
Agricultural Production ◽  
Production Model ◽  
Biogeochemical Model ◽  
Bioenergy Crop ◽  
Yield Information

scholarly journals Cultivo da cenoura submetida à aplicação de doses de biofertilizante

2017 ◽  
Vol 12 (1) ◽  
pp. 55
Author(s):  
José Lucas Guilherme Santos ◽  
Ancélio Ricardo de Oliveira Gondim ◽  
Joaquim Vieira Lima Neto ◽  
Erivan Alves da Silva
Keyword(s):  
Plant Height ◽  
Agricultural Production ◽  
New Technology ◽  
Dry Mass ◽  
Growth And Yield ◽  
Production Model ◽  
Fermentation Time ◽  
Number Of Leaves ◽  
Negative Impacts ◽  
Over Time

<p>O modelo de produção agrícola convencional é economicamente viável, no entanto, é responsável por inúmeros impactos negativos ao meio ambiente e aos indivíduos que o compõe. Baseado neste contexto surge a necessidade à adoção de novas tecnologias que permitam uma produção equiparável, de tal forma que conserve os recursos naturais e que diminua os impactos negativos ao meio ambiente. Com isto objetivou-se neste trabalho estudar o cultivo da cenoura sob a aplicação de biofertilizante. O experimento foi conduzido em casa de vegetação. Os tratamentos resultaram da combinação dos fatores tempo de fermentação do biofertilizante, 10, 20, 30 e 40 dias e quatro concentrações do biofertilizante, 25, 40, 55 e 70%. O delineamento experimental utilizado foi o inteiramente casualizado, no esquema fatorial 4 x 4, com quatro repetições. As características avaliadas foram altura das plantas e número de folhas a cada 10 dias após o desbaste até a colheita, após a colheita foi avaliado número de folhas, altura das plantas, massa seca das folhas e massa fresca e seca da raiz. Para as características avaliadas ao longo do tempo observou-se que o tempo de fermentação do biofertilizante de 26 dias e a concentração do biofertilizante de 47% promoveu maior crescimento das plantas. Na colheita, observou-se que em média, o tempo de fermentação do biofertilizante de 30 dias e a concentração do biofertilizante de 50% promoveram maior crescimento e produção das plantas.</p><p align="center"><strong><em>Growing carrot submitted the application of doses of biofertilizer</em></strong></p><p><strong>A</strong><strong>bstract: </strong>Conventional agricultural production model is economically viable, however, is responsible for numerous negative impacts on the environment and the individuals who compose it. Based on this context there is a need to adopt new technology providing equivalent production in such a way that conserves natural resources and to decrease the negative impacts on the environment. With this objective of this work was to study the cultivation of carrots under the application of biofertilizers. The experiment was conducted in a greenhouse. The treatments resulted from the combination of factors fermentation time of biofertilizers, 10, 20, 30 and 40 days and four bio-fertilizer concentrations, 25, 40, 55 and 70%. The experimental design was completely randomized in a factorial 4 x 4, with four replications. The characteristics were plant height and number of leaves every 10 days after thinning and harvesting, post-harvest was estimated number of leaves, plant height, dry mass of leaves and fresh and dry root. For the characteristics evaluated over time was observed that the biofertilizer fermentation time of 26 days and the concentration of 47% biofertilizer promoted greater plant growth. At harvest, it was observed that on average the biofertilizer fermentation time of 30 days and the concentration of 50% biofertilizer promoted enhanced growth and yield of plants.</p><p><strong> </strong></p>

scholarly journals General Characteristics of Practices and Non-Practices Farmers and Their Opinions on Good Agriculture Practice in Adana Province

2019 ◽  
Vol 7 (12) ◽  
pp. 2069
Author(s):  
Hilal Yılmaz ◽  
Cengiz Sağlam ◽  
Mevlüt Gül ◽  
Başak Aydın ◽  
Tugay Ayasan
Keyword(s):  
Agricultural Production ◽  
Animal Health ◽  
Agricultural Practices ◽  
Production Model ◽  
Primary Data ◽  
Agricultural Producers ◽  
Good Agricultural Practices ◽  
Agricultural Enterprises ◽  
Market Situation ◽  
Main Material

The agricultural production model which is done in order to provide food security, sustainability, and traceability in the agriculture, protect the natural sources and perform agricultural production, harmless to the environment, human and animal health, is called as Good Agricultural Practices. This study covers agricultural enterprises engaged in good agricultural practices and non-engaged in good agricultural practices in Adana province. The aim of the research is to compare the general characteristics of farms and to determine their views on good agricultural practices. The main material of the study constituted the primary data obtained through the survey of the 170 enterprises engaged in good agricultural and the non-used citrus (lemon and mandarin) farming in Adana province. According to the survey, it was determined that a higher level of education in enterprises engaged in ITU. The majority of good agricultural producers are residents in cities and towns and have social security. About 84.71% of good agricultural producers practise ITU in order to benefit support. It was determined that 25.88% of no good agriculture practices found ITU unnecessary. The 67.06% of producers stated that the market situation of the ITU products is similar to conventional products.

Modelling of greenhouse gas emissions from European croplands with the biogeochemical model ECOSSE

2021 ◽  
Author(s):  
Matthias Kuhnert ◽  
Michael Martin ◽  
Matthew Mcgrath ◽  
Pete Smith
Keyword(s):  
Greenhouse Gas ◽  
Large Scale ◽  
Agricultural Sector ◽  
Ghg Emissions ◽  
Production Model ◽  
Small Scale ◽  
Biogeochemical Model ◽  
Annual Data ◽  
System Variable ◽  
Nitrogen Emissions

&lt;p&gt;Greenhouse gas (GHG) emissions contribute to climate change. Agricultural production contributes 10 &amp;#8211; 14 % of the global anthropogenic GHG emission, including 37 % from soils (Paustian et al., 2016). Monitoring and analysis of emissions from agriculture is the basis for reducing GHG emissions and applying mitigation options. Measuring and estimating emissions from the agricultural sector are challenging and modelling is a useful tool to capture the heterogeneity of the dynamics. Agricultural management is the main driver for the carbon and nitrogen dynamics in croplands, which makes model approaches difficult, as potentially there is great heterogeneity in the influencing factors, but also a lack of robust data for management data for larger scales. Additionally, measurements of GHG emissions are scarce, on small (spatial and temporal) scales, or do not reflect the entire range of system variable combinations. This hinders the evaluation of large scale simulation results. The objective of the study was to simulate the GHG emissions (CO&lt;sub&gt;2&lt;/sub&gt; and N&lt;sub&gt;2&lt;/sub&gt;O) for European croplands and use national inventory data for the evaluation of the results. We used the model ECOSSE which is based on the carbon model RothC and the nitrogen model SUNDIAL. For yield production, the primary production model MIAMI is coupled with ECOSSE. The model structure allows small scale differences (resolution for simulation is 0.1&amp;#176;) to be captured, while simulating monthly time steps. This balances the uncertainty of the available input data with the accuracy of the simulated results. The model shows reasonable results for the CO&lt;sub&gt;2&lt;/sub&gt; emissions, but underestimates heterotrophic respiration, which leads to an overestimation of carbon fluxes to the soil. Nitrogen emissions are underestimated due to underestimation of fertilizer applications in some hot spots. The comparison with national inventories that depend mainly on statistics using simpler approaches shows differences to the simulation approach, which indicates the strong dependency of the emissions on the management data. The model approach provides the spatial distribution of the emissions as well as inter-annual dynamics. The changes on the model showed already the improved performances by the model and the extension to include more target variables. More sub-national and sub-annual data sets for evaluation will allow a further improvement of the model performance.&amp;#160;&lt;/p&gt;

scholarly journals Producing Cheap Food and Labour: Migrations and Agriculture in the Capitalistic World-Ecology

2016 ◽  
Vol 14 (2) ◽  
pp. 121-148 ◽  
Author(s):  
Yoan Molinero Gerbeau ◽  
Gennaro Avallone
Keyword(s):  
International Relations ◽  
Agricultural Production ◽  
Capital Accumulation ◽  
Labour Force ◽  
World System ◽  
Global Capitalism ◽  
Production Model ◽  
Local Context ◽  
Cheap Labour ◽  
The World

Abstract Through the perspective of world-ecology, one of the most recent approaches in international relations, we aim to analyse global capitalism as an ecological project based on the appropriation of human and extra-human nature oriented to support capital accumulation process. Agriculture and its labour force occupy a central role in maintaining the world-system in which global chains, international migrations and centre-periphery relationships interact. This paper shows how global processes occur at this intersection. The aim of this paper is to contribute to the analysis of the current world-system through this innovative approach, developed mainly by Jason W. Moore, and then show how the world-system’s structure and its crisis have articulated a highlyinternationalized production model whose most significant effect has been the generation of large migrations of cheap labour across the planet. It is also proposed to descend to the local context to highlight examples because the organization of work at this territorial scale is representative of global agricultural production.

The Agricultural Production Model

2015 ◽  
pp. 13-51 ◽  
Author(s):  
Otávio Cavalett ◽  
Mateus F. Chagas ◽  
Paulo S.G. Magalhães ◽  
João L.N. Carvalho ◽  
Terezinha F. Cardoso ◽  
...  
Keyword(s):  
Agricultural Production ◽  
Production Model

scholarly journals Some Comparative Aspects of Production and Profit Functions: Empirical Applications to a Punjab District

1978 ◽  
Vol 17 (2) ◽  
pp. 191-211 ◽  
Author(s):  
Main M. Aslam
Keyword(s):  
Agricultural Production ◽  
Simultaneous Equations ◽  
Production Functions ◽  
Production Model ◽  
Profit Function ◽  
Profit Functions ◽  
Biased Estimates ◽  
Input Prices ◽  
Technical Coefficients

The estimation of technical coefficients of production is a prerequisite for the construction of an agricultural production model. The production functions, introduced by the classical school and developed extensively by the neo-classical writers, have been frequently used in deriving the technical coefficients. But the problems posed by the management factor [8] and simultaneous determination of variable inputs and outputs by the farm firm [5, 10) are quite serious and have generally led to biased estimates. On the other hand, the profit function [14, 19] has been developed as an alternative to the production function. Since the arguments of this function are normalized input prices and fixed inputs which are exogenously determined, the bias of simultaneous equations is avoided. However, the profit function may be difficult to estimate due to data problems. For example, what is the wage rate of agricultural labour and how is it imputed? Also, data on product pi ices are not easily accessible and some products may not be marketed at all, especially, in developing countries.

scholarly journals Decision-Making Behavior of Fertilizer Application of Grain Growers in Heilongjiang Province from the Perspective of Risk Preference and Risk Perception

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Xin Li ◽  
Jie Shang
Keyword(s):  
Risk Perception ◽  
Agricultural Production ◽  
Risk Preference ◽  
Fertilizer Application ◽  
Chemical Fertilizer ◽  
Production Model ◽  
Heilongjiang Province ◽  
Application Behavior ◽  
The Impact ◽  
Grain Farmers

Heilongjiang Province, as a major grain-planting province in China, under the condition of limited production level and cognitive level, the food and agriculture industry often adopts the “high input-high output” production model to achieve grain yield and increase production. As one of the important material input elements in agricultural production, chemical fertilizer plays an irreplaceable role in increasing crop output and farmers’ income. The reduced application of chemical fertilizer can improve the soil and water source, improve the production environment from the internal agricultural production, and ensure the quality and safety of agricultural products from the source, which is beneficial to the sustainable development of agriculture in China. In this paper, Probit model is used to analyze the risk preference and risk perception of grain farmers in Heilongjiang Province. The results showed that high degree of risk preference had a negative effect on decision behavior of fertilizer application, while high natural risk perception had a positive effect on fertilizer application behavior of grain farmers. At the same time, the results showed that the cultivated land area owned by farmers, the total income of agricultural production, the training of fertilizer technology, and the cognition of the impact of fertilizer on the environment all had significant effects on the chemical fertilizer application behavior of grain farmers. Finally, according to the results of this study, some feasible suggestions are put forward.

scholarly journals A Strategic Agricultural Production Model with Risk and Return Considerations

1994 ◽  
Vol 23 (1) ◽  
pp. 37-46 ◽  
Author(s):  
Rhonda L. Aull-Hyde ◽  
Solomon Tadesse
Keyword(s):  
Strategic Planning ◽  
Agricultural Production ◽  
Financial Risk ◽  
Programming Model ◽  
Planning Horizon ◽  
Production Model ◽  
Risk And Return ◽  
Predetermined Level ◽  
Broiler Farm

Decision support systems are generally geared to short-term tactical decision making. As an alternative, this paper develops a mathematical programming model to evaluate long-term strategic alternatives in the context of farm-level agricultural production where a broiler farm considers long-term implications of diversification into commercial aquaculture. The model considers a ten-year strategic planning horizon, incorporates financial risk and return considerations, and accommodates capacity variations. Results indicate that a diversification strategy significantly increases farm profitability over a strategic planning horizon while simultaneously maintaining financial risk below a predetermined tolerance level and return on investment above a predetermined level.

scholarly journals Considerations regarding improving the ecological and environmental performance of agriculture

2020 ◽  
Vol 14 (1) ◽  
pp. 697-707
Author(s):  
Lavinia Popescu ◽  
Adela Sorinela Safta
Keyword(s):  
Agricultural Production ◽  
Agricultural Sector ◽  
Current Trend ◽  
Environmentally Friendly ◽  
Organic Production ◽  
Production Model ◽  
Low Carbon ◽  
Continuous Training ◽  
Low Carbon Economy ◽  
Environmentally Responsible

AbstractThe agri-environment economy provides a significant database for environmental policy decisions. The prioritization of an actionable behavior regarding the agri-environment vulnerabilities, favors the orientation of the agriculture through more environmentally responsible methods, represents a current trend, with a broad support within the Common Agricultural Policy (CAP). The promotion of an agricultural model capable of ensuring its own sustainability implies the existence of a set of common values and rules in which to buy as many producers as possible, with a common objective, respectively to reduce greenhouse emissions and to promote an ecological responsibility of the production model. Agriculture can significantly contribute to achieving the objectives of reducing the negative effects of climate change, not only from the perspective of ensuring the conservation of carbon reservoirs, which are still present in the soil, or by expanding their size and favoring the formation of humus, but in particular by reducing the consumption of energy needed in agricultural production and the supply of biomass needed for renewable energy production., much greener. The transition to a low carbon economy, more environmentally responsible, in the national agricultural sector can contribute, both to the significant increase of food security, but also to the optimization of the agricultural production structures, which will thus conform more easy to environmental requirements. It becomes primarily the role of implementation in agriculture of feasible standards more environmentally friendly, and environmentally friendly in this context, the research in the field and the continuous training acquiring new values. An important role is played by the implementation of best practice methods in the proper management of the land and the promotion of organic production models can significantly contribute to increasing the carbon absorption in the soil and, at the same time, to indicate possible improvments in their performance.

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