{"title":"Temporal Forecast of Maize Production in Tanzania: An Autoregressive Integrated Moving Average Approach","authors":"Yohana Maiga","doi":"10.5296/jas.v12i2.21679","DOIUrl":"https://doi.org/10.5296/jas.v12i2.21679","url":null,"abstract":"This paper aims to model and forecast maize production in Tanzania, emphasizing its crucial contribution to the agricultural sector. Utilizing secondary data on annual maize production in Tanzania from 1961 to 2021, measured in tonnes and sourced from the FAO database, the study employs statistical techniques such as unit root tests, the ARIMA model, and the Ljung-Box test for a comprehensive analysis. The optimal model for forecasting maize production in Tanzania is identified as ARIMA (5,1,5), and the adequacy assessment confirms its effectiveness in predicting maize production values. The ten-year forecast reveals an intermittent pattern, offering valuable insights into anticipated trends. While not explicitly developing an existing theory, this research enhances the understanding of maize production dynamics in Tanzania through the application of advanced statistical methods. Policymakers, agricultural stakeholders, and researchers can leverage these findings to enhance agricultural productivity and food security in Tanzania.","PeriodicalId":472416,"journal":{"name":"Journal of agricultural studies","volume":"7 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141036898","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}
Belem Adama, Ouédraogo-Koné Salifou, K. Bazoumana, Traoré Dramane, Traoré Mamadou
{"title":"Analysis of the Management of Cereal Crop Residues on Farms to Optimise Cattle Feed in the Western Cotton Growing Zone of Burkina Faso","authors":"Belem Adama, Ouédraogo-Koné Salifou, K. Bazoumana, Traoré Dramane, Traoré Mamadou","doi":"10.5296/jas.v12i2.21834","DOIUrl":"https://doi.org/10.5296/jas.v12i2.21834","url":null,"abstract":"Crop residues are insufficiently valorised by farmers in western Burkina Faso, while cattle face a shortage of forage. The aim of this study was to analyse the management of cereal crop residues in cotton-cereal farming to optimise their use as feed for draught cattle. A sample of 72 cotton farmers was selected from nine villages in the study area by the stratification method and interviewed using a semi-structured questionnaire. The quantities of cereal crop residue biomass collected by farmers were assessed directly in the field. The results showed that maize and sorghum stalks were predominantly used in cattle feed (86.1 and 90.3%), composting (50 and 44.4%), and mulching (26.9 and 25%), respectively. The average quantities of cereal crop residues stored were 0.83, 0.16, and 1.19 tonnes of dry matter (tDM) for crop farmers, livestock breeders, and agro-pastoralists, respectively, with respective fodder balances of -3.99, -29.05, and -16.99 Tropical Cattle Units (TCU) for the use of cattle, or -0.88, -0.38, and -1.81 TCU for the use of draught cattle during the lean season. Concentrated feed use was 0.20, 0.05, and 0.21 kg/cattle/day; respectively. The main factors influencing the quantities of cereal residues stored on the farms were the size of the cultivated areas and the farmers’ capacity for transportation. Provision of transport equipment and storage infrastructure would therefore appear to be a solution that could improve the level of fodder residue storage, particularly for draught oxen.","PeriodicalId":472416,"journal":{"name":"Journal of agricultural studies","volume":"43 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140703039","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}
{"title":"Impact of Inflation on Economic Growth: Evidence from Tanzania","authors":"Yohana Maiga","doi":"10.5296/jas.v12i2.21708","DOIUrl":"https://doi.org/10.5296/jas.v12i2.21708","url":null,"abstract":"This empirical study investigates the impact of inflation on economic growth in Tanzania, aiming to provide insights for policymakers on maintaining macroeconomic stability. Utilizing a quantitative research design, the study analyzes secondary data spanning 32 years (1990-2021) through reduced-form regression and co-integration analysis techniques. The findings reveal a significant negative correlation between inflation and economic growth, indicating that higher inflation rates are associated with lower GDP growth. However, no long-term relationship or co-integration between inflation and economic growth is found. This study contributes to the existing literature by providing empirical evidence on the negative impact of inflation on economic growth in Tanzania, emphasizing the importance of price stability for sustainable economic growth. The findings underscore the need for policymakers to prioritize effective monetary policies while promoting investment and productivity to ensure sustained economic growth.","PeriodicalId":472416,"journal":{"name":"Journal of agricultural studies","volume":"11 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140712718","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}
{"title":"Reviewer Acknowledgements for Journal of Agricultural Studies, Vol. 12, No. 1","authors":"Richard Williams","doi":"10.5296/jas.v12i1.21799","DOIUrl":"https://doi.org/10.5296/jas.v12i1.21799","url":null,"abstract":"Journal of Agricultural Studies (JAS) would like to acknowledge the following reviewers for their assistance with peer review of manuscripts for this issue. Many authors, regardless of whether JAS publishes their work, appreciate the helpful feedback provided by the reviewers. Their comments and suggestions were of great help to the authors in improving the quality of their papers. Each of the reviewers listed below returned at least one review for this issue. Reviewers for Volume 12, Number 1 Alexandru Ioan Apahidean, University of Agricultural Sciences and Veterinary Medicine, RomaniaAnca-Luiza Stanila, National Research Institute for Soil Science, RomaniaAndré Luiz Rodrigues Magalhães, Universidade Federal do Agreste de Pernambuco-UFAPE, BrazilAngel Ramon Sanchez Delgado, Universidade federal Rural do Rio de Janeiro, BrazilEric Krawczyk, University of Michigan, USAEric Owusu Danquah, CSIR-Crops Research Institute, GhanaJorge A. López, State University of Amapá, BrazilMaría Francisca Perera, ITANOA, EEAOC-CONICET, ArgentinaRaul Pașcalău, Banat's University, RomaniaSybelle Mesquita Silva, Universidade Federal de Alagoas, BrazilToncho Gospodinov Penev, Trakia University, Bulgaria Richard WilliamsEditorial AssistantJournal of Agricultural Studies--------------------------------------Macrothink Institute5348 Vegas Dr.#825Las Vegas, Nevada 89108United StatesPhone: 1-702-953-1852 ext.521Email 1: jas@macrothink.orgEmail 2: jas@macrothink.comURL: http://jas.macrothink.org","PeriodicalId":472416,"journal":{"name":"Journal of agricultural studies","volume":"113 27","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140381333","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}
{"title":"Innovativeness and Entrepreneurial Success in Agricultural Sector: An Overview of the Literature in Developing Countries","authors":"Aline M. Aloukoutou, Ismaïl Moumouni Moussa","doi":"10.5296/jas.v12i1.21517","DOIUrl":"https://doi.org/10.5296/jas.v12i1.21517","url":null,"abstract":"Business success is often attributed to the profile of the entrepreneur, the characteristics of the business and its environment. In most of developing countries, interventions to promote entrepreneurship are typically limited to the provision of finance and coaching to build business capital and management skills. These interventions have shown mixed results as only few young enterprises last more than five years, suggesting the need to explore other drivers of entrepreneurial success. This review adds a contribution on the role of innovation in the performance of agricultural enterprises through a synthesis of the existing literature on the importance of innovation in entrepreneurial success. Our results highlight that young agricultural entrepreneurs face several challenges, including the perception from their pairs/community, limited access to production resources, climate change, poor access to technologies and market, lack of management skills, and lack of appropriate policy support. Their innovativeness depends on their ability to mobilize livelihoods assets such as financial capital, social, human and symbolic capitals. Ultimately, innovativeness allows young entrepreneur to tap into livelihoods assets-related opportunities to ensure the competitiveness and further the success of their business. We also elaborated a framework to analyze entrepreneurial performance in the agricultural sector.","PeriodicalId":472416,"journal":{"name":"Journal of agricultural studies","volume":"56 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138587430","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}
Mohammed Hossain Sarker, Md. Abdul Quddus, Md. Abdus Sattar, Mohammad Rezaul Karim, Md. Anarul Islam, Md. Toriqul Islam, Razu Ahmed, M. Matin Akand, Kazi Mohammad Fahid Hossain
{"title":"Evaluation of Baby Corn Genotypes on Productivity and Quality traits in Bangladesh","authors":"Mohammed Hossain Sarker, Md. Abdul Quddus, Md. Abdus Sattar, Mohammad Rezaul Karim, Md. Anarul Islam, Md. Toriqul Islam, Razu Ahmed, M. Matin Akand, Kazi Mohammad Fahid Hossain","doi":"10.5296/jas.v11i4.21439","DOIUrl":"https://doi.org/10.5296/jas.v11i4.21439","url":null,"abstract":"Baby corn is very nutritious crop and the current demand is increasing in Bangladesh, but lacking of promising and high yielding variety. Hence, the study was conducted during the winter season of 2015-16 to evaluate twenty baby corn genotypes on the basis of quality, yield and yield contributing traits, and to find out the suitable genotype for yield maximization and quality improvement of baby corn through proper agronomic management. Twenty baby corn genotypes were planted in a randomized complete block design with three replications. As per result, the Baby Star genotype got highest cob yield with husk (11.9 t ha-1) and cob yield without husk (3.02 t ha-1) followed by Dream Sweet 3 and MSC 001. Maximum protein (11.03%) and starch content (57.03%) were recorded in Baby Star. The most total soluble solid (9.51%) was recorded in Dream Sweet-3 genotype. Baby star genotype followed by Dream Sweet 3 and MSC 001 were better than other genotypes in terms of yield attributes. Grouping of genotypes through multivariate (cluster) analysis on yield, yield attributes and quality parameters indicated that the cluster II showed higher performance among other clusters that means Baby Star, Dream Sweet-3 and MSC No.001 were better among twenty genotypes. Results suggest that Baby star followed by Dream Sweet-3 and MSC No.001 genotype can be recommended as potential baby corn genotypes for cultivation in Bangladesh and release as a variety. Some genotypes with specific features might be potential used in genetic resources for the future improvement of breeding program useful for baby corn expansion.","PeriodicalId":472416,"journal":{"name":"Journal of agricultural studies","volume":"13 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135725158","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}
Cleverton Timoteo Assunção, Jefferson Vieira José, Leonardo Duarte Batista da Silva, Ana Daniela Lopes, Maiara Kawana Aparecida Rezende, João Paulo Francisco
{"title":"Determination of Soil Moisture for Sandy Soils Using Gas and Microwave Ovens","authors":"Cleverton Timoteo Assunção, Jefferson Vieira José, Leonardo Duarte Batista da Silva, Ana Daniela Lopes, Maiara Kawana Aparecida Rezende, João Paulo Francisco","doi":"10.5296/jas.v11i4.19994","DOIUrl":"https://doi.org/10.5296/jas.v11i4.19994","url":null,"abstract":"Since there are several methods used to determine soil moisture, the objective was to compare the moisture values obtained with the use of a gas oven and a microwave to the values obtained with the standard oven method. Having been carried out at the Hydraulics Laboratory of the State University of Maringá, Umuarama Regional Campus, the performance of the methods was evaluated in the determination of five levels of moisture (10, 15, 20, 25, and 30%), with dry masses obtained at 15, 20, 25 and 30 minutes for the gas oven and at 2, 4, 6 and 8 minutes for the microwave. The best drying times were selected using the Taylor Diagram. Linear regression was performed between the methods, in order to obtain the correlation coefficient (r), the Willmott agreement index (d), the performance index (c), absolute error (EA), absolute mean error (ERA), and root mean square error (RQME). By analyzing the results obtained, it can be stated that the gas oven method and the microwave method presented excellent performance when compared to the standard method. It was also concluded that the time of 25 minutes for the gas oven method was efficient and, for the microwave method, the drying time of 8 minutes was sufficient, meaning a reduction in the time for moisture determination.","PeriodicalId":472416,"journal":{"name":"Journal of agricultural studies","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136136055","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}
{"title":"Optimum Time of Insemination after Onset of Oestrus in Holstein – Friesian Dairy Cows in the Peri-urban Khartoum (Sudan)","authors":"Lino Libo Ador, Abdel Moneim Mukhtar Abu Nikhaila","doi":"10.5296/jas.v11i3.21317","DOIUrl":"https://doi.org/10.5296/jas.v11i3.21317","url":null,"abstract":"The aim of this study was to determine the optimum time of insemination after onset of oestrus in Holstein-Friesian dairy cows. 146 and 92 Cows were randomly assigned to the control and prostaglandin F2α treated groups respectively. The experimental animals were then visually observed for oestrus for a period of twelve months. 188 and 99 inseminations were given to the control and prostaglandin F2α treated groups respectively. The inseminations were given at time intervals of 1-6, 7-12, 13-18, and 19-24 hours after onset of oestrus during winter, hot dry summer and hot wet summer. During the three seasons, inseminations were carried out in cows at postpartum interval of 41-60, 61-80, 81-100, 101-120, 121 and over days. The trial was conducted in Cows at parities 1 and 2 as a group, and parities 3 and over as a separate group. The optimum time of insemination to achieve the highest conception rates was at 13-18 hours in the control group of Cows. Winter had the highest conception rates compared to other seasons. Cows at postpartum intervals of 121 and over days had the highest conception rates. Conception rates in cows at parities 1 and 2 had the highest conception rate compared to other parities. The present study revealed that the control group of cows had the highest conception rates when inseminations were at 13 – 18 hours after onset of oestrus compared to prostaglandin F2α treated cows.","PeriodicalId":472416,"journal":{"name":"Journal of agricultural studies","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135784362","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}
{"title":"Reviewer Acknowledgements for Journal of Agricultural Studies, Vol. 11, No. 3","authors":"Richard Williams","doi":"10.5296/jas.v11i3.21318","DOIUrl":"https://doi.org/10.5296/jas.v11i3.21318","url":null,"abstract":"Journal of Agricultural Studies (JAS) would like to acknowledge the following reviewers for their assistance with peer review of manuscripts for this issue. Many authors, regardless of whether JAS publishes their work, appreciate the helpful feedback provided by the reviewers. Their comments and suggestions were of great help to the authors in improving the quality of their papers. Each of the reviewers listed below returned at least one review for this issue. Reviewers for Volume 11, Number 3 Angel Ramon Sanchez Delgado, Universidade federal Rural do Rio de Janeiro, BrazilArnaud Z. Dragicevic, IRSTEA, FranceAzwimbavhi Reckson Mulidzi, Agricultural Research Council, South AfricaHabu Saleh Hamisu, National Horticultural Research Institute, NigeriaJorge A. López, University Tiradentes, BrazilJuliana Nneka Ikpe, Akanu Ibiam Federal Polytechnic, NigeriaToncho Gospodinov Penev, Trakia University, Bulgaria Richard WilliamsEditorial AssistantJournal of Agricultural Studies--------------------------------------Macrothink Institute5348 Vegas Dr.#825Las Vegas, Nevada 89108United StatesPhone: 1-702-953-1852 ext.521Email 1: jas@macrothink.orgEmail 2: jas@macrothink.comURL: http://jas.macrothink.org","PeriodicalId":472416,"journal":{"name":"Journal of agricultural studies","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135784363","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}