The Experts below are selected from a list of 26115 Experts worldwide ranked by ideXlab platform
Sandhya Samarasinghe - One of the best experts on this subject based on the ideXlab platform.
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co2 emissions from Farm Inputs case study of wheat production in canterbury new zealand
Environmental Pollution, 2012Co-Authors: Majeed Safa, Sandhya SamarasingheAbstract:Abstract This review paper concentrates on carbon dioxide emissions, discussing its agricultural sources and the possibilities for minimizing emissions from these sources in wheat production in Canterbury, New Zealand. This study was conducted over 35,300 ha of irrigated and dryland wheat fields in Canterbury. Total CO 2 emissions were 1032 kg CO 2 /ha in wheat production. Around 52% of the total CO 2 emissions were released from fertilizer use and around 20% were released from fuel used in wheat production. Nitrogen fertilizers were responsible for 48% (499 kg CO 2 /ha) of CO 2 emissions. The link between nitrogen consumption, CO 2 emissions and crop production showed that reducing the CO 2 emissions would decrease crop production and net financial benefits to Farmers.
Lucy Harrison - One of the best experts on this subject based on the ideXlab platform.
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the impact of the agricultural industry on the rural economy tracking the spatial distribution of the Farm Inputs and outputs
Journal of Rural Studies, 1993Co-Authors: Lucy HarrisonAbstract:Abstract With all the uncertainty surrounding the future of the agricultural industry, it is important to gain some kind of insight into the economic impact the industry has on the rural economy, to enable the formation of the most appropriate rural policies. Using Farm Business Survey data, this study examines the spatial distribution of Inputs and outputs from a sample of 52 Farms in the Reading Province. The results show significant links between Farms and their locality, especially for the smaller Farm.
Majeed Safa - One of the best experts on this subject based on the ideXlab platform.
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Predicting CO2 Emissions from Farm Inputs in Wheat Production using Artificial Neural Networks and Linear Regression Models
International Journal of Advanced Computer Science and Applications, 2016Co-Authors: Majeed Safa, Mohammadali Nejat, Peter L. Nuthall, Bruce GreigAbstract:Two models have been developed for simulating CO2 emissions from wheat Farms: (1) an artificial neural network (ANN) model; and (2) a multiple linear regression model (MLR). Data were collected from 40 wheat Farms in the Canterbury region of New Zealand. Investigation of more than 140 various factors enabled the selection of eight factors to be employed as the independent variables for final the ANN model. The results showed the final ANN developed can forecast CO2 emissions from wheat production areas under different conditions (proportion of wheat cultivated land on the Farm, numbers of irrigation applications and numbers of cows), the condition of machinery (tractor power index (hp/ha) and age of fertilizer spreader) and N, P and insecticide Inputs on the Farms with an accuracy of ±11% (± 113 kg CO2/ha). The total CO2 emissions from Farm Inputs were estimated as 1032 kg CO2/ha for wheat production. On average, fertilizer use of 52% and fuel use of around 20% have the highest CO2 emissions for wheat cultivation. The results confirmed the ANN model forecast CO2 emissions much better than MLR model.
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co2 emissions from Farm Inputs case study of wheat production in canterbury new zealand
Environmental Pollution, 2012Co-Authors: Majeed Safa, Sandhya SamarasingheAbstract:Abstract This review paper concentrates on carbon dioxide emissions, discussing its agricultural sources and the possibilities for minimizing emissions from these sources in wheat production in Canterbury, New Zealand. This study was conducted over 35,300 ha of irrigated and dryland wheat fields in Canterbury. Total CO 2 emissions were 1032 kg CO 2 /ha in wheat production. Around 52% of the total CO 2 emissions were released from fertilizer use and around 20% were released from fuel used in wheat production. Nitrogen fertilizers were responsible for 48% (499 kg CO 2 /ha) of CO 2 emissions. The link between nitrogen consumption, CO 2 emissions and crop production showed that reducing the CO 2 emissions would decrease crop production and net financial benefits to Farmers.
Peter R Nkhoma - One of the best experts on this subject based on the ideXlab platform.
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constituting agricultural and food security policy in malawi exploring the factors that have driven policy processes in the Farm Inputs subsidy programme
Journal of Asian and African Studies, 2019Co-Authors: Peter R Nkhoma, Martin M Bosman, Michael EdufulAbstract:Political economy analyses of agricultural and food security policies in Malawi have emphasized the role played by domestic politics and, more specifically, the centralization of power in the execu...
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the evolution of agricultural input subsidy programs contextualizing policy debates in malawi s fisp
World Development Perspectives, 2018Co-Authors: Peter R NkhomaAbstract:Abstract Malawi has been associated with the re-emergence of agricultural input subsidy programs in sub-Saharan Africa (SSA) since its launching of the Farm Inputs Subsidy Program (FISP) in 2005. It has also been at the center of policy debates regarding its capacity to launch a uniquely African Green Revolution within a marketized and capitalist configuration, and in a context of constrained public resources. Such debates have been informed by the evidentiary literature, which has been mixed and sharply divided. This paper, using qualitative methods, explores how such debates have shaped Malawi’s food security policies and brought about recent alignment in government and donor policy positions. The results indicate that the recent change in FISP policy is intimately linked to wider concerns to commercialize agriculture and the general reconfiguration of food security policy to more accurately reflect presumed ‘possibilities’ and what is fiscally pragmatic. The paper highlights some of the complexities that have been faced by policy makers in the process of devising appropriate pro-poor agricultural and food security policies within the broader enterprise of economic growth in a rather challenging context. It contributes to scholarly efforts to untangle Malawi’s food security-development policy paradox™ which might be relevant to other countries in SSA.
Ruaraidh Sackville Hamilton - One of the best experts on this subject based on the ideXlab platform.
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The contribution of the International Rice Genebank to varietal improvement and crop productivity in Eastern India
Food Security, 2020Co-Authors: Donald Villanueva, Melinda Smale, Nelissa Jamora, Grace Lee Capilit, Ruaraidh Sackville HamiltonAbstract:Using survey dataset collected from nearly 9000 Farmers along with pedigree and evaluation data, this study measures the contribution of the International Rice Genebank (IRG) to varietal improvement and rice productivity of Farmers in Eastern India. We empirically test the relationship of ancestry to productivity changes while controlling for the effects of other Farm Inputs and environmental factors. Estimated coefficients indicate that a 10% increase in the genetic contribution of IRG accessions to an improved rice variety is associated with a yield increase of 27%. Through pedigree analysis, we also confirm that 45 to 77% of the genetic composition of improved rice varieties is derived from the genes of IRG accessions. Peta, Dee Geo Woo Gen, and Fortuna are the three most popular progenitors with definite IRG contribution. High genealogical diversity likely results from the crossing of germplasm received from multiple countries of origin, which also confer multiple, functional trait combinations in a released variety. Further, our calculations reveal that the average coefficient of parentage of all pairwise combinations among the 10 most adopted rice varieties is 0.0973, indicating a high degree of latent genetic diversity. Findings demonstrate the valuable contribution of the genetic resources conserved and distributed by IRG to the development of improved rice varieties.
