Pub Date : 2022-01-01DOI: 10.11648/j.ijae.20220702.14
D. Bekele
{"title":"Intercropping of Faba Bean and Bread Wheat at Kulumsa, South-Eastern Ethiopia","authors":"D. Bekele","doi":"10.11648/j.ijae.20220702.14","DOIUrl":"https://doi.org/10.11648/j.ijae.20220702.14","url":null,"abstract":"","PeriodicalId":53319,"journal":{"name":"International Journal of Food and Agricultural Economics","volume":"41 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73507365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.11648/j.ijae.20220701.12
K. Bolakhe, Krishna Hari Dhakal, Sabin Nepal, Rachana Dahal
{"title":"Economic Analysis of Potato Basic Seed Production Under Contract Farming in Kavrepalanchok, Nepal","authors":"K. Bolakhe, Krishna Hari Dhakal, Sabin Nepal, Rachana Dahal","doi":"10.11648/j.ijae.20220701.12","DOIUrl":"https://doi.org/10.11648/j.ijae.20220701.12","url":null,"abstract":"","PeriodicalId":53319,"journal":{"name":"International Journal of Food and Agricultural Economics","volume":"130 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76754081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.11648/j.ijae.20220702.15
Koffi Kouao Jean, Haba Jean Florent, Phaceli Elichama Desiree, Yao Francis N’guetia, D. Ardjouma, B. Adama, Bogaert Jan
{"title":"Evaluation of the Economic Profitability of the Mangosteen (<i>Garcinia mangostana</i>) Trade in Côte d'Ivoire: Survey of Six Markets in the Autonomous District of Abidjan","authors":"Koffi Kouao Jean, Haba Jean Florent, Phaceli Elichama Desiree, Yao Francis N’guetia, D. Ardjouma, B. Adama, Bogaert Jan","doi":"10.11648/j.ijae.20220702.15","DOIUrl":"https://doi.org/10.11648/j.ijae.20220702.15","url":null,"abstract":"","PeriodicalId":53319,"journal":{"name":"International Journal of Food and Agricultural Economics","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89637425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-05DOI: 10.11648/J.IJAE.20210606.11
Tesfaye Tura
Onion is one of the important vegetable crops grown by farmers mostly for market purpose. This study focus on explore the challenges and opportunities of small-scale irrigation onion production at fentale district. Samples of 180 onion producer smallholder households were selected through multi-stage random sampling from the three kebeles of Fentale district. Sources of data were both the primary and secondary sources. The primary quantitative data were collected through Interview schedule while the qualitative were collected by FGD and KIIs methods. The data analysis methods also encompassed both quantitative and qualitative. Descriptive statistics (percentage) were employed to analysis quantitative data while qualitative data were analysed by narrations and interpreting the meaning of words. The result of the descriptive statistic reveals that the high cost of inputs, fluctuation in irrigation access, disease and pest, the input supply shortage, high labour cost, flood problem and informal sources of seed were the challenges of onion production at the study area. Besides the high income gained from onion, access to irrigation, good weather condition and the high yield of onion from a small plot were the major opportunities to produce onion at the area. Finally, the researcher recommended that the Government organizations and other responsible bodies should ensure the equal distribution of irrigation water for both upper and lower streams, and strengthen inputs supply chains.
{"title":"Challenges and Opportunities Towards Small-scale Irrigation Based Onion Production: The Case of Fentale District, Oromiya Regional State, Ethiopia","authors":"Tesfaye Tura","doi":"10.11648/J.IJAE.20210606.11","DOIUrl":"https://doi.org/10.11648/J.IJAE.20210606.11","url":null,"abstract":"Onion is one of the important vegetable crops grown by farmers mostly for market purpose. This study focus on explore the challenges and opportunities of small-scale irrigation onion production at fentale district. Samples of 180 onion producer smallholder households were selected through multi-stage random sampling from the three kebeles of Fentale district. Sources of data were both the primary and secondary sources. The primary quantitative data were collected through Interview schedule while the qualitative were collected by FGD and KIIs methods. The data analysis methods also encompassed both quantitative and qualitative. Descriptive statistics (percentage) were employed to analysis quantitative data while qualitative data were analysed by narrations and interpreting the meaning of words. The result of the descriptive statistic reveals that the high cost of inputs, fluctuation in irrigation access, disease and pest, the input supply shortage, high labour cost, flood problem and informal sources of seed were the challenges of onion production at the study area. Besides the high income gained from onion, access to irrigation, good weather condition and the high yield of onion from a small plot were the major opportunities to produce onion at the area. Finally, the researcher recommended that the Government organizations and other responsible bodies should ensure the equal distribution of irrigation water for both upper and lower streams, and strengthen inputs supply chains.","PeriodicalId":53319,"journal":{"name":"International Journal of Food and Agricultural Economics","volume":"43 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84079078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-30DOI: 10.11648/J.IJAE.20210605.14
Tarlutu Ibrahim, A. Abdulai, Abdul-Rauf Ibrahim, Sulemana Yahaya, Alhassan Fadila, A. Yakubu
We investigated the accumulation of iron fillings in corn flour in the Tamale Metropolis using a permanent magnet. We also assessed the metal accumulation in food delicacies and the possible metal concentration in consumers. We then categorised the food vendors in the Metropolis into domestic, ‘low class’ and ‘high class’ commercial vendors. The results revealed that corn flour milled with new pair of plates is likely to contain 1.5 folds Fe than flour milled with old pair of plates. Furthermore, wet milling is the safer choice for producing corn flour than dry milling due to its low metal concentration (mg/g). Nonetheless, there was no trace of Fe in the porridge samples from the commercial vendors yet the samples from households had the largest metal accumulation and metal concentration. This indicates that consuming koko prepared at home will lead to more (≈ 1.20mg/g) metal concentration in the body. Incidentally, there was no metal accumulation and no metal concentration from any of the ‘high class’ commercial TZ vendors due to sieving, demonstrating that they offer the best choice for TZ consumption. Even so, the worse choice for TZ consumption came from the ‘low class’ commercial TZ vendors due to lack of sieving. As such, the worst meal preference is to eat 3-square (breakfast, lunch and supper) meals of banku prepared at home. Yet, the best meal preferences are: either eat 3-square meals of TZ from ‘high class’ commercial TZ vendors; or take 3-square meals of porridge (koko) from ‘high class’ commercial porridge vendors; or eat 3-square meals combination of TZ and porridge (Koko) from the ‘high class’ commercial vendors. Results of the study will influence responsible ‘consumption and production’ of food (a Sustainable Development Goal; SDG 12) in order to erase hunger (SDG 2). It will also trigger healthier eating habits (meal preferences) to boost and sustain the health and well-being of individuals (SDG 3).
{"title":"Removal of Iron Fillings from Corn Flour: Recipe for Sustainable Development","authors":"Tarlutu Ibrahim, A. Abdulai, Abdul-Rauf Ibrahim, Sulemana Yahaya, Alhassan Fadila, A. Yakubu","doi":"10.11648/J.IJAE.20210605.14","DOIUrl":"https://doi.org/10.11648/J.IJAE.20210605.14","url":null,"abstract":"We investigated the accumulation of iron fillings in corn flour in the Tamale Metropolis using a permanent magnet. We also assessed the metal accumulation in food delicacies and the possible metal concentration in consumers. We then categorised the food vendors in the Metropolis into domestic, ‘low class’ and ‘high class’ commercial vendors. The results revealed that corn flour milled with new pair of plates is likely to contain 1.5 folds Fe than flour milled with old pair of plates. Furthermore, wet milling is the safer choice for producing corn flour than dry milling due to its low metal concentration (mg/g). Nonetheless, there was no trace of Fe in the porridge samples from the commercial vendors yet the samples from households had the largest metal accumulation and metal concentration. This indicates that consuming koko prepared at home will lead to more (≈ 1.20mg/g) metal concentration in the body. Incidentally, there was no metal accumulation and no metal concentration from any of the ‘high class’ commercial TZ vendors due to sieving, demonstrating that they offer the best choice for TZ consumption. Even so, the worse choice for TZ consumption came from the ‘low class’ commercial TZ vendors due to lack of sieving. As such, the worst meal preference is to eat 3-square (breakfast, lunch and supper) meals of banku prepared at home. Yet, the best meal preferences are: either eat 3-square meals of TZ from ‘high class’ commercial TZ vendors; or take 3-square meals of porridge (koko) from ‘high class’ commercial porridge vendors; or eat 3-square meals combination of TZ and porridge (Koko) from the ‘high class’ commercial vendors. Results of the study will influence responsible ‘consumption and production’ of food (a Sustainable Development Goal; SDG 12) in order to erase hunger (SDG 2). It will also trigger healthier eating habits (meal preferences) to boost and sustain the health and well-being of individuals (SDG 3).","PeriodicalId":53319,"journal":{"name":"International Journal of Food and Agricultural Economics","volume":"78 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81282165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-10-05DOI: 10.11648/J.IJAE.20210605.12
Sujan Ghimire, A. Dhakal
Agricultural inputs have crucial role to deliver increased productivity and sustained agricultural growth in an economy. However, adequate empirical research is not available related to effects of agricultural inputs use on agricultural productivity in Nepalese context. Thus, empirical study was conducted so as to reveal the effects of agricultural inputs use in agricultural production sector. This study utilized time series data of 30 years (1990 to 2019) retrieved from various secondary data sources of agricultural input supply in Nepal. Then, data obtained were processed and analyzed in two ways: First, Compound Annual Growth Rate (CAGR) of different agricultural inputs were estimated using Log-Lin regression model. Second, the parameters estimates of Cobb-Douglas regression analysis was obtained taking Agricultural GDP as the dependent variable and independent variables viz. cultivated area, irrigated area, population engaged in agriculture, fertilizer consumption, pesticides application, improved seeds used and government expenditure. The results depicted that growth rate of various agricultural inputs use had raised significantly and was in increasing trend during the study period. Furthermore, cultivated area, irrigated area and pesticides application were found statistically significant and had significant impact on growth of agricultural GDP (Gross Domestic Product).
{"title":"Effects of Agricultural Inputs Use on Agricultural Productivity in Nepal: An Empirical Study","authors":"Sujan Ghimire, A. Dhakal","doi":"10.11648/J.IJAE.20210605.12","DOIUrl":"https://doi.org/10.11648/J.IJAE.20210605.12","url":null,"abstract":"Agricultural inputs have crucial role to deliver increased productivity and sustained agricultural growth in an economy. However, adequate empirical research is not available related to effects of agricultural inputs use on agricultural productivity in Nepalese context. Thus, empirical study was conducted so as to reveal the effects of agricultural inputs use in agricultural production sector. This study utilized time series data of 30 years (1990 to 2019) retrieved from various secondary data sources of agricultural input supply in Nepal. Then, data obtained were processed and analyzed in two ways: First, Compound Annual Growth Rate (CAGR) of different agricultural inputs were estimated using Log-Lin regression model. Second, the parameters estimates of Cobb-Douglas regression analysis was obtained taking Agricultural GDP as the dependent variable and independent variables viz. cultivated area, irrigated area, population engaged in agriculture, fertilizer consumption, pesticides application, improved seeds used and government expenditure. The results depicted that growth rate of various agricultural inputs use had raised significantly and was in increasing trend during the study period. Furthermore, cultivated area, irrigated area and pesticides application were found statistically significant and had significant impact on growth of agricultural GDP (Gross Domestic Product).","PeriodicalId":53319,"journal":{"name":"International Journal of Food and Agricultural Economics","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78833548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-09-26DOI: 10.11648/J.IJAE.20210605.11
Yenenesh Duguma, Dawit Milkias
The activity was conducted for two consecutive years, 2019 and 2020 cropping season at Ambo and Dandi districts of West Showa Zone with the objective to evaluate for grain yield, yield related traits and farmers’ perception or preference and the performance of improved teff variety along with recommended package. Sites were selected based on teff production potential of the area. Two districts and three PAs from each district and eighteen target farmers were purposively selected on the ground that they are the leading producer of teff in the area. Training was given for farmers, Development Agents and experts on production of improved teff technologies from site selection up to postharvest practices of improved teff variety. Quantitative data such as yield data was collected and analysed using SPSS, whereas farmers feedback were analysed qualitatively. Recommended seed and fertilizer rate were used for the demonstration trial establishment. According to the result of Dagim variety, mean grain yield 18.79 qt/he and 25.51 qt/he were recorded in Ambo and dendi districts respectively. Thus, Dagim variety is recommended for further scaling up activities at Ambo and Dendi districts taking into consideration of its productivity. Farmers of those areas should use the variety in order to increases their teff production and enhance their income from teff.
{"title":"Pre-extension Demonstration of Improved Teff Variety (Dagim) at Ambo and Dandi Districts of West Shoa Zone, Oromia Region, Ethiopia","authors":"Yenenesh Duguma, Dawit Milkias","doi":"10.11648/J.IJAE.20210605.11","DOIUrl":"https://doi.org/10.11648/J.IJAE.20210605.11","url":null,"abstract":"The activity was conducted for two consecutive years, 2019 and 2020 cropping season at Ambo and Dandi districts of West Showa Zone with the objective to evaluate for grain yield, yield related traits and farmers’ perception or preference and the performance of improved teff variety along with recommended package. Sites were selected based on teff production potential of the area. Two districts and three PAs from each district and eighteen target farmers were purposively selected on the ground that they are the leading producer of teff in the area. Training was given for farmers, Development Agents and experts on production of improved teff technologies from site selection up to postharvest practices of improved teff variety. Quantitative data such as yield data was collected and analysed using SPSS, whereas farmers feedback were analysed qualitatively. Recommended seed and fertilizer rate were used for the demonstration trial establishment. According to the result of Dagim variety, mean grain yield 18.79 qt/he and 25.51 qt/he were recorded in Ambo and dendi districts respectively. Thus, Dagim variety is recommended for further scaling up activities at Ambo and Dendi districts taking into consideration of its productivity. Farmers of those areas should use the variety in order to increases their teff production and enhance their income from teff.","PeriodicalId":53319,"journal":{"name":"International Journal of Food and Agricultural Economics","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85490250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-08-07DOI: 10.11648/J.IJAE.20210604.17
Ouahiba Elalaoui, A. Fadlaoui, Nassreddine Maatala, Abdelouafi Ibrahimy
The agricultural sector continues to be the backbone of the Moroccan’s economy, employing 38% of the active working population and contributing to 13% of Gross Domestic Product (GDP). However, Moroccan agriculture is subject to multiple constraints, including volatility due to climatic conditions which continue to condition the economic performance of the country as a whole, despite the decrease in the share of agriculture in the sectoral composition. The main objective of this study is to econometrically explore the causality nexus between agriculture and GDP in Morocco, especially since the sector has benefited from new development strategies. Using Moroccan time series over the period 1980 to 2017, the paper employed the Granger causality based on the vector autoregressive model (VAR) in a dynamic multivariate framework, using five macroeconomic variables: GDP per capita, agricultural GDP, investment rate, money supply, and trade openness. The empirical results from the analysis detect the presence of bidirectional Granger causality between agriculture and GDP, implying a feedback relationship, and some unidirectional causal relationships involving the other macroeconomic variables used in the VAR model. The findings have important policy implications for the government to establish effective agricultural strategies, in particular with the inauguration of the new agricultural strategy «Green Generation» in 2020.
{"title":"Agriculture and GDP Causality Nexus in Morocco: Empirical Evidence from a VAR Approach","authors":"Ouahiba Elalaoui, A. Fadlaoui, Nassreddine Maatala, Abdelouafi Ibrahimy","doi":"10.11648/J.IJAE.20210604.17","DOIUrl":"https://doi.org/10.11648/J.IJAE.20210604.17","url":null,"abstract":"The agricultural sector continues to be the backbone of the Moroccan’s economy, employing 38% of the active working population and contributing to 13% of Gross Domestic Product (GDP). However, Moroccan agriculture is subject to multiple constraints, including volatility due to climatic conditions which continue to condition the economic performance of the country as a whole, despite the decrease in the share of agriculture in the sectoral composition. The main objective of this study is to econometrically explore the causality nexus between agriculture and GDP in Morocco, especially since the sector has benefited from new development strategies. Using Moroccan time series over the period 1980 to 2017, the paper employed the Granger causality based on the vector autoregressive model (VAR) in a dynamic multivariate framework, using five macroeconomic variables: GDP per capita, agricultural GDP, investment rate, money supply, and trade openness. The empirical results from the analysis detect the presence of bidirectional Granger causality between agriculture and GDP, implying a feedback relationship, and some unidirectional causal relationships involving the other macroeconomic variables used in the VAR model. The findings have important policy implications for the government to establish effective agricultural strategies, in particular with the inauguration of the new agricultural strategy «Green Generation» in 2020.","PeriodicalId":53319,"journal":{"name":"International Journal of Food and Agricultural Economics","volume":"46 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77217360","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-08-04DOI: 10.11648/J.IJAE.20210604.15
M. Shahjalal, Md. Zahidul Alam, Saikh Shahjahan Miah, A. H. Chowdhury
This study is conducted to measure the effects of climate responsive variables on agricultural production rate in Bangladesh. Agriculture production is affected by the climate changes and natural disasters that cause farmers enormous financial losses. The study focused on the application of fuzzy logic to find out the effect of climate changes on the agricultural production of Bangladesh. The objective of the study is to see the proposed fuzzy system will aid farmers for taking decision of selecting right crop to get the optimal yield. A set of fuzzy rules have been utilized to obtain inference of agriculture production on different linguistic variables. Altered combination of climate variables like temperature, weather disasters, water availability, monsoon level, diseases, species extinction and deforestation are considered as fuzzy linguistic variables generated through sets of different fuzzy rules and applied to estimate agriculture production rate. Findings show that as temperature and weather disaster increases to its highest level the agriculture production reduces to its lowest level. Furthermore, temperature and water availability has a homogeneous effect on agriculture production which indicates that the effects of increased temperature are balanced by the supply of available water. The effects of temperature and monsoon level to agriculture production indicate high precipitation due to monsoon level damages agricultural production. Moderate temperature with pure water availability resulted from moderate monsoon level produces medium agriculture production. It was found that the minimum spread of diseases can produce moderate level of agriculture production. Nonetheless, species extinction has a long term effect on production and deforestation has an immediate effect on agriculture production. In conclusion, climate variables like weather disaster, deforestation, spread of disease, species extinction damage and reduce the agricultural production rate. The study demonstrates the application of fuzzy logic to examine the impact of climate change on the agriculture production in Bangladesh.
{"title":"Fuzzy Logic Approach for Identifying the Effects of Climate Change on Agricultural Production","authors":"M. Shahjalal, Md. Zahidul Alam, Saikh Shahjahan Miah, A. H. Chowdhury","doi":"10.11648/J.IJAE.20210604.15","DOIUrl":"https://doi.org/10.11648/J.IJAE.20210604.15","url":null,"abstract":"This study is conducted to measure the effects of climate responsive variables on agricultural production rate in Bangladesh. Agriculture production is affected by the climate changes and natural disasters that cause farmers enormous financial losses. The study focused on the application of fuzzy logic to find out the effect of climate changes on the agricultural production of Bangladesh. The objective of the study is to see the proposed fuzzy system will aid farmers for taking decision of selecting right crop to get the optimal yield. A set of fuzzy rules have been utilized to obtain inference of agriculture production on different linguistic variables. Altered combination of climate variables like temperature, weather disasters, water availability, monsoon level, diseases, species extinction and deforestation are considered as fuzzy linguistic variables generated through sets of different fuzzy rules and applied to estimate agriculture production rate. Findings show that as temperature and weather disaster increases to its highest level the agriculture production reduces to its lowest level. Furthermore, temperature and water availability has a homogeneous effect on agriculture production which indicates that the effects of increased temperature are balanced by the supply of available water. The effects of temperature and monsoon level to agriculture production indicate high precipitation due to monsoon level damages agricultural production. Moderate temperature with pure water availability resulted from moderate monsoon level produces medium agriculture production. It was found that the minimum spread of diseases can produce moderate level of agriculture production. Nonetheless, species extinction has a long term effect on production and deforestation has an immediate effect on agriculture production. In conclusion, climate variables like weather disaster, deforestation, spread of disease, species extinction damage and reduce the agricultural production rate. The study demonstrates the application of fuzzy logic to examine the impact of climate change on the agriculture production in Bangladesh.","PeriodicalId":53319,"journal":{"name":"International Journal of Food and Agricultural Economics","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85714108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-08-02DOI: 10.11648/J.IJAE.20210604.14
Samassé Diarra, S. Sissoko, M. Diawara, B. Traore, A. Sidibe
Malian economy is largely based on agriculture, with mango being one of the country's main agricultural exports. The Koulikoro District is one of the main mango production areas in Mali. The sector is subject to numerous challenges, including vulnerability to rainfall variability. The objective of this study was to document the vulnerability of orchards, particularly those based on the Kent and Keitt varieties, in relation to cultivation practices. The approach used to document this issue was based on surveys and interviews with mango farmers of the Kent and Keitt varieties, to identify cultivation practices and the origins of the vulnerability of orchards to rainfall variability in the district. The results show that mango plantations are mainly managed by young, illiterate people, whose age range is 41-46 years. The orchards are small, with areas ranging from 0.25 ha to 3.00 ha, half of which are located on gravelly soils. Women are very poorly represented (6.52% of the sample) in this production activity. Mango seedlings are generally planted during the rainy season, with a high vegetative recovery rate at the start, but a very low survival rate in the months and years following the vegetative recovery. Water sources are traditional wells and streams (temporary and permanent). Manual watering is practiced by more than 80% of farmers. To conserve soil moisture, farmers mulch with or without basins under the mango trees. The lack of technical assistance and rainfall are the major constraints identified. Traditional water sources, primitive watering methods and poor moisture conservation techniques are factors that increase the vulnerability of orchards to rainfall variability.
{"title":"Cultivation Practices of Mango (Mangifera indica) Varieties Kent and Keitt Planters and the Origins of Orchard Vulnerability to Rainfall Variability in the Koulikoro District","authors":"Samassé Diarra, S. Sissoko, M. Diawara, B. Traore, A. Sidibe","doi":"10.11648/J.IJAE.20210604.14","DOIUrl":"https://doi.org/10.11648/J.IJAE.20210604.14","url":null,"abstract":"Malian economy is largely based on agriculture, with mango being one of the country's main agricultural exports. The Koulikoro District is one of the main mango production areas in Mali. The sector is subject to numerous challenges, including vulnerability to rainfall variability. The objective of this study was to document the vulnerability of orchards, particularly those based on the Kent and Keitt varieties, in relation to cultivation practices. The approach used to document this issue was based on surveys and interviews with mango farmers of the Kent and Keitt varieties, to identify cultivation practices and the origins of the vulnerability of orchards to rainfall variability in the district. The results show that mango plantations are mainly managed by young, illiterate people, whose age range is 41-46 years. The orchards are small, with areas ranging from 0.25 ha to 3.00 ha, half of which are located on gravelly soils. Women are very poorly represented (6.52% of the sample) in this production activity. Mango seedlings are generally planted during the rainy season, with a high vegetative recovery rate at the start, but a very low survival rate in the months and years following the vegetative recovery. Water sources are traditional wells and streams (temporary and permanent). Manual watering is practiced by more than 80% of farmers. To conserve soil moisture, farmers mulch with or without basins under the mango trees. The lack of technical assistance and rainfall are the major constraints identified. Traditional water sources, primitive watering methods and poor moisture conservation techniques are factors that increase the vulnerability of orchards to rainfall variability.","PeriodicalId":53319,"journal":{"name":"International Journal of Food and Agricultural Economics","volume":"2013 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86441863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：