The study examined or assessed the gap between extension agents, extension strategies, capacity buildinga and constraints of rice production in agricultural zone of Niger State, Nigeria. Multi-stage sampling technique was used in selecting 48 respondents. Data were collected through the administration of questionnaire and analyzed using descriptive statistics. The study found that a participatory approach is not fully decentralized in planning, monitoring and evaluation of the agricultural extension programs to meet the demand-driven services of the farmers in the study area. Moreover, there is a difference between the capacity building of the extension personnel and the constraints incurred in rice production. The capacity building is mostly focused on production and post-harvest of rice production, while having multitude of constraints in marketing as well. Therefore, it is recommended that a participatory approach must be fully promoted and the capacity building of extension personnel must be melded with the demand-driven needs of farmers in approaching the rice production issues. The study will be needful for extension agents, policymakers, researchers, educationists and stakeholders in Agriculture and non-Agricultural sectors so as to understand ways of increasing the quality and effectiveness of agricultural extension services to foster agricultural production.
{"title":"TOURING THE GAP BETWEEN EXTENSION AGENTS, EXTENSION STRATEGIES, CAPACITY BUILDING AND CONSTRAINTS OF RICE PRODUCTION IN AGRICULTURAL ZONE IN NIGER STATE, NIGERIA","authors":"Mohammed, U., Umaru, A., Ahmad, B. S.","doi":"10.59331/njaat.v2i2.354","DOIUrl":"https://doi.org/10.59331/njaat.v2i2.354","url":null,"abstract":"The study examined or assessed the gap between extension agents, extension strategies, capacity buildinga and constraints of rice production in agricultural zone of Niger State, Nigeria. Multi-stage sampling technique was used in selecting 48 respondents. Data were collected through the administration of questionnaire and analyzed using descriptive statistics. The study found that a participatory approach is not fully decentralized in planning, monitoring and evaluation of the agricultural extension programs to meet the demand-driven services of the farmers in the study area. Moreover, there is a difference between the capacity building of the extension personnel and the constraints incurred in rice production. The capacity building is mostly focused on production and post-harvest of rice production, while having multitude of constraints in marketing as well. Therefore, it is recommended that a participatory approach must be fully promoted and the capacity building of extension personnel must be melded with the demand-driven needs of farmers in approaching the rice production issues. The study will be needful for extension agents, policymakers, researchers, educationists and stakeholders in Agriculture and non-Agricultural sectors so as to understand ways of increasing the quality and effectiveness of agricultural extension services to foster agricultural production.","PeriodicalId":346909,"journal":{"name":"Nigerian Journal of Agriculture and Agricultural Technology","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128189663","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}
The study assessed roles of women in the processing of oil palm fruit in Imo State, Nigeria. Specifically, the study described socio-economic characteristics of women palm fruit processors; identified processing methods and equipment used by them to process oil palm fruits; identified their roles in oil palm fruit processing; determined socio-economic factors that influence amount of income realized from palm fruit processing; and identified constraints faced by them in oil palm fruit processing. Multi-stage sampling procedure was used to select 150 women processors. Data collected through use of structured questionnaire, were analyzed using descriptive statistics and multiple regression model. Results showed that mean age, household size and annual income from palm fruit processing of the respondents were 54 years, 7 persons and N127,985.71 respectively. Also, 64.0%, of them were married, with as much as 82.0% attaining diverse levels of formal education. Result also showed that 74.0% of the women used mortar and pestle in processing oil palm fruits. Results further showed that 80.0% and 68.0% of the women processors were involved in picking palm fruits from the bunch/threshing and carrying of palm fruit to processing site. Result of the multiple regression analysis using double-log functional form as lead equation posted R2 value of 0.710 and showed that education level, method of processing, membership of association, credit access, labour cost and price of product were significant determinants of income realized by women from palm fruit processing. Major problems constraining women processors were inadequate finance (82.0%) and credit facilities (72.0%). It was recommended that financial assistance should be given to women processors of palm fruit through loans from agricultural banks and other financial institutions. This should be done at low interest rates to encourage borrowing, which would lead to increase in income of women processors.
{"title":"ROLES OF WOMEN IN OIL PALM FRUIT PROCESSING IN IMO STATE, NIGERIA","authors":"Sylanus Ibeabuchi Ogbonna","doi":"10.59331/njaat.v2i2.26","DOIUrl":"https://doi.org/10.59331/njaat.v2i2.26","url":null,"abstract":"The study assessed roles of women in the processing of oil palm fruit in Imo State, Nigeria. Specifically, the study described socio-economic characteristics of women palm fruit processors; identified processing methods and equipment used by them to process oil palm fruits; identified their roles in oil palm fruit processing; determined socio-economic factors that influence amount of income realized from palm fruit processing; and identified constraints faced by them in oil palm fruit processing. Multi-stage sampling procedure was used to select 150 women processors. Data collected through use of structured questionnaire, were analyzed using descriptive statistics and multiple regression model. Results showed that mean age, household size and annual income from palm fruit processing of the respondents were 54 years, 7 persons and N127,985.71 respectively. Also, 64.0%, of them were married, with as much as 82.0% attaining diverse levels of formal education. Result also showed that 74.0% of the women used mortar and pestle in processing oil palm fruits. Results further showed that 80.0% and 68.0% of the women processors were involved in picking palm fruits from the bunch/threshing and carrying of palm fruit to processing site. Result of the multiple regression analysis using double-log functional form as lead equation posted R2 value of 0.710 and showed that education level, method of processing, membership of association, credit access, labour cost and price of product were significant determinants of income realized by women from palm fruit processing. Major problems constraining women processors were inadequate finance (82.0%) and credit facilities (72.0%). It was recommended that financial assistance should be given to women processors of palm fruit through loans from agricultural banks and other financial institutions. This should be done at low interest rates to encourage borrowing, which would lead to increase in income of women processors.","PeriodicalId":346909,"journal":{"name":"Nigerian Journal of Agriculture and Agricultural Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129597834","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}
Improved technology adoption for agricultural transformation and poverty reduction is critical in modern day agriculture. The study examined spatial distribution of technology adoption among African Development Bank-Community Based Agriculture and Rural Development Programme (AfDB-CBARDP) beneficiaries in Nigeria. Multi stage sampling procedure was employed where a total of 1020 farmers/Project beneficiaries across the 5 project implementing units (PIU) were selected. The data was estimated using descriptive statistics. The result obtained indicated that the mean value across the states for improved seed, post-harvest, dry season and fertilizer application technologies adoption stood at 83.7%, 81.9%, 75.8% and 51.8%. Similarly, the mean adoption rates for improved livestock, and fisheries technologies were reported to be 68.7%, and 50.6%, respectively. On a state-by-state basis, the weighted mean rates of adoption for all the agricultural technologies indicated that Adamawa, Bauchi, Gombe, Kaduna and Kwara have 58.0%, 70.2%, 66.9%, 67.7 and 50.0% respectively. The findings of the study revealed that the mean adoption rate among females Project beneficiaries for post-harvest technologies like multi-purpose threshers, rice dehaulers, rice milling, groundnut extractors, hammer milling machines and grinding machines were appreciably higher having percentage values of 66.3%, 56.2%, 70.1%, 60.1%, 59.1% and 54.9% respectively. In the same vein, distribution of technology adoption reveals that adoption of seed, fertilizer and post-harvest technologies ranked highest than fishery technologies across the Project implementing units. Technology adoption on gender basis further revealed that Groundnut, cowpea, and soybean technologies were highly adopted among participating male than female farmers. Concurrently, the study indicated an appreciable level of agricultural technology adoption across the Project implementing units. However, the mean adoption rate of Artificial Insemination technologies was low (25.5%) having fell short of the 40% before a farmer is considered to be an adopter. The study recommended among others that where the overall adoption rate is lower, further research is required to identify the key constraints to adoption so that corrective measures can be found which can be used to improve adoption of future AfDB-CBARDP supported technologies.
{"title":"SPATIAL TECHNOLOGY ADOPTION AMONGST AFRICAN DEVELOPMENT BANK COMMUNITY BASED AGRICULTURE AND RURAL DEVELOPMENT PROGRAMME BENEFICIARIES IN NIGERIA","authors":"Nura A.Y","doi":"10.59331/njaat.v2i1.9","DOIUrl":"https://doi.org/10.59331/njaat.v2i1.9","url":null,"abstract":"Improved technology adoption for agricultural transformation and poverty reduction is critical in modern day agriculture. The study examined spatial distribution of technology adoption among African Development Bank-Community Based Agriculture and Rural Development Programme (AfDB-CBARDP) beneficiaries in Nigeria. Multi stage sampling procedure was employed where a total of 1020 farmers/Project beneficiaries across the 5 project implementing units (PIU) were selected. The data was estimated using descriptive statistics. The result obtained indicated that the mean value across the states for improved seed, post-harvest, dry season and fertilizer application technologies adoption stood at 83.7%, 81.9%, 75.8% and 51.8%. Similarly, the mean adoption rates for improved livestock, and fisheries technologies were reported to be 68.7%, and 50.6%, respectively. On a state-by-state basis, the weighted mean rates of adoption for all the agricultural technologies indicated that Adamawa, Bauchi, Gombe, Kaduna and Kwara have 58.0%, 70.2%, 66.9%, 67.7 and 50.0% respectively. The findings of the study revealed that the mean adoption rate among females Project beneficiaries for post-harvest technologies like multi-purpose threshers, rice dehaulers, rice milling, groundnut extractors, hammer milling machines and grinding machines were appreciably higher having percentage values of 66.3%, 56.2%, 70.1%, 60.1%, 59.1% and 54.9% respectively. In the same vein, distribution of technology adoption reveals that adoption of seed, fertilizer and post-harvest technologies ranked highest than fishery technologies across the Project implementing units. Technology adoption on gender basis further revealed that Groundnut, cowpea, and soybean technologies were highly adopted among participating male than female farmers. Concurrently, the study indicated an appreciable level of agricultural technology adoption across the Project implementing units. However, the mean adoption rate of Artificial Insemination technologies was low (25.5%) having fell short of the 40% before a farmer is considered to be an adopter. The study recommended among others that where the overall adoption rate is lower, further research is required to identify the key constraints to adoption so that corrective measures can be found which can be used to improve adoption of future AfDB-CBARDP supported technologies.","PeriodicalId":346909,"journal":{"name":"Nigerian Journal of Agriculture and Agricultural Technology","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128280179","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}
Waziri A., F. A. S. Fagam, A. S., G. A. A. Garba, A. A., Aliyu, M. Aliyu, M.
Field experiment was conducted at the Abubakar Tafawa Balewa University Teaching and Research farm, Bauchi in 2018, 2019 and 2020 rainy seasons to study Effect of Nitrogen Fertilizer and Sowing Methods on performance of Sesame (Sesamum indicum L.) Varieties. The treatments consisted of four levels of nitrogen fertilizer rates (0, 30, 60 and 90kg N/ha), three sowing methods (dibbling, drilling and broadcasting) and two varieties of sesame (Ex – Sudan 1 and NCRI BEN 01M). The experiment was factorially combined and laid out in to a Randomized Complete Block Design and replicated three times. The result of the experiment revealed that, nitrogen fertilizer had significant (P≤0.05) effect on growth characters of sesame plant. The application of nitrogen fertilizer at 60kg/ha significantly (P≤0.05) increased plant height, number of leaves, leaf area, stem girth, number of branches, leaf area index, leaf area ratio, crop growth rate, relative growth rate and net assimilation rate in the 3 years of study. It was also observed that sowing method had significant (P≤0.05) influence on the performance of the crop. Dibbling method of sowing significantly (P≤0.05) produced higher plant height, number of leaves, leaf area, leaf area index, stem girth, number of branches than the other two sowing methods. Studies carried out during the 3-year indicated that 2020 rainy season produced significantly (P ≤ 0.05) higher plant height, number of leaves, leaf area, leaf area index, stem girth, number of branches than 2018 and 2019 seasons. Based on the results obtained, it can be concluded that the application of 60kg N/ha and dibbling method of sowing can be adopted by farmers in the study area for optimum production.
{"title":"EFFECT OF NITROGEN FERTILIZER AND SOWING METHODS ON PERFORMANCE OF SESAME (Sesamum indicum L.) VARIETIES IN BAUCHI STATE, NIGERIA","authors":"Waziri A., F. A. S. Fagam, A. S., G. A. A. Garba, A. A., Aliyu, M. Aliyu, M.","doi":"10.59331/njaat.v2i1.7","DOIUrl":"https://doi.org/10.59331/njaat.v2i1.7","url":null,"abstract":"Field experiment was conducted at the Abubakar Tafawa Balewa University Teaching and Research farm, Bauchi in 2018, 2019 and 2020 rainy seasons to study Effect of Nitrogen Fertilizer and Sowing Methods on performance of Sesame (Sesamum indicum L.) Varieties. The treatments consisted of four levels of nitrogen fertilizer rates (0, 30, 60 and 90kg N/ha), three sowing methods (dibbling, drilling and broadcasting) and two varieties of sesame (Ex – Sudan 1 and NCRI BEN 01M). The experiment was factorially combined and laid out in to a Randomized Complete Block Design and replicated three times. The result of the experiment revealed that, nitrogen fertilizer had significant (P≤0.05) effect on growth characters of sesame plant. The application of nitrogen fertilizer at 60kg/ha significantly (P≤0.05) increased plant height, number of leaves, leaf area, stem girth, number of branches, leaf area index, leaf area ratio, crop growth rate, relative growth rate and net assimilation rate in the 3 years of study. It was also observed that sowing method had significant (P≤0.05) influence on the performance of the crop. Dibbling method of sowing significantly (P≤0.05) produced higher plant height, number of leaves, leaf area, leaf area index, stem girth, number of branches than the other two sowing methods. Studies carried out during the 3-year indicated that 2020 rainy season produced significantly (P ≤ 0.05) higher plant height, number of leaves, leaf area, leaf area index, stem girth, number of branches than 2018 and 2019 seasons. Based on the results obtained, it can be concluded that the application of 60kg N/ha and dibbling method of sowing can be adopted by farmers in the study area for optimum production.","PeriodicalId":346909,"journal":{"name":"Nigerian Journal of Agriculture and Agricultural Technology","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130054561","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}
Waziri A., F. A. S. Fagam, A. S., G. A. A. Garba, A. A., Aliyu, M. Aliyu, M.
Field experiment was conducted at the Abubakar Tafawa Balewa University Teaching and Research farm, Bauchi in 2018, 2019 and 2020 rainy seasons to study effect of nitrogen fertilizer and sowing method on growth and yield of sesame (Sesamum indicum L.) varieties. The treatments consisted of four levels of nitrogen fertilizer rates (0, 30, 60 and 90 kg N/ha), three sowing methods (dibbling, drilling and broadcasting) and two varieties of sesame (Ex-Sudan 1 and NCRI BEN 01M). The experiment was factorially combined and laid out in a Randomized Complete Block Design, replicated three times. The result of the experiment revealed that, nitrogen fertilizer had significant (P≤0.05) effect on yield characters of sesame. Application of nitrogen fertilizer at 60kg/ha significantly (P≤0.05) increased number of flowers, total ash, crude fibre, crude protein, ether extract, number of capsules per plant, number of seeds per capsule and yield/hectare in the 3-year study. It was also observed that, sowing method had significant (P≤0.05) influence on the performance of the crop. Dibbling method of sowing significantly (P≤0.05) produced higher number of flowers, number of capsules per plant, number of seeds per capsule and yield/hectare than the other two sowing methods. Studies carried out during the 3 years investigation revealed that 2020 rainy season produced significantly (P≤0.05) higher numbers of flowers, capsules per plant, seeds per capsule and grain yield/hectare than 2018 and 2019 seasons. Based on the results obtained, it can be concluded that the application of 60kg N/ha and dibbling method of planting can be adopted by farmers in the study area for optimum yield.
在2018年、2019年和2020年雨季，在包奇Abubakar Tafawa Balewa大学教研农场进行了田间试验，研究氮肥和播种方式对芝麻(Sesamum indicum L.)品种生长和产量的影响。施用4个氮肥水平(0、30、60和90 kg N/ hm2)， 3种播种方式(穴播、钻播和撒播)和2个芝麻品种(前苏丹1号和NCRI BEN 01M)。该实验被因子组合，并在随机完全块设计中布局，重复三次。试验结果表明，施氮肥对芝麻产量性状影响显著(P≤0.05)。在3年的研究中，60kg/ha施氮显著(P≤0.05)提高了花数、总灰分、粗纤维、粗蛋白质、粗脂肪、单株蒴果数、每蒴果数和每公顷产量。播种方式对作物生产性能有显著影响(P≤0.05)。点播法的花数、单株蒴果数、每蒴果数和每公顷产量显著(P≤0.05)高于其他两种播种方式。在为期3年的调查中开展的研究表明，与2018年和2019年相比，2020年雨季的花数、单株蒴果数、每蒴果种子数和每公顷粮食产量显著(P≤0.05)增加。综上所述，研究区农民可采用施氮60kg /ha和点穴种植的方式获得最佳产量。
{"title":"EFFECT OF NITROGEN FERTILIZER AND SOWING METHODS ON YIELD OF SESAME (Sesamum indicum L.) VARIETIES IN BAUCHI STATE, NIGERIA","authors":"Waziri A., F. A. S. Fagam, A. S., G. A. A. Garba, A. A., Aliyu, M. Aliyu, M.","doi":"10.59331/njaat.v2i1.12","DOIUrl":"https://doi.org/10.59331/njaat.v2i1.12","url":null,"abstract":"Field experiment was conducted at the Abubakar Tafawa Balewa University Teaching and Research farm, Bauchi in 2018, 2019 and 2020 rainy seasons to study effect of nitrogen fertilizer and sowing method on growth and yield of sesame (Sesamum indicum L.) varieties. The treatments consisted of four levels of nitrogen fertilizer rates (0, 30, 60 and 90 kg N/ha), three sowing methods (dibbling, drilling and broadcasting) and two varieties of sesame (Ex-Sudan 1 and NCRI BEN 01M). The experiment was factorially combined and laid out in a Randomized Complete Block Design, replicated three times. The result of the experiment revealed that, nitrogen fertilizer had significant (P≤0.05) effect on yield characters of sesame. Application of nitrogen fertilizer at 60kg/ha significantly (P≤0.05) increased number of flowers, total ash, crude fibre, crude protein, ether extract, number of capsules per plant, number of seeds per capsule and yield/hectare in the 3-year study. It was also observed that, sowing method had significant (P≤0.05) influence on the performance of the crop. Dibbling method of sowing significantly (P≤0.05) produced higher number of flowers, number of capsules per plant, number of seeds per capsule and yield/hectare than the other two sowing methods. Studies carried out during the 3 years investigation revealed that 2020 rainy season produced significantly (P≤0.05) higher numbers of flowers, capsules per plant, seeds per capsule and grain yield/hectare than 2018 and 2019 seasons. Based on the results obtained, it can be concluded that the application of 60kg N/ha and dibbling method of planting can be adopted by farmers in the study area for optimum yield.","PeriodicalId":346909,"journal":{"name":"Nigerian Journal of Agriculture and Agricultural Technology","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130135128","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}
The study assessed the growth of sweet potato output and yield in Nigeria (1970 - 2020) and its implications on food production. The study basically relied on the use of time series data spanning from 1970 to 2020. Data on the variables for the study were collected from the archives of Food and Agriculture Organization (FAO) and World bank database. Data for this study were analyzed using both descriptive such as mean, maximum and minimum with trend graphs and inferential statistics such as Johansen co-integration, Augmented Dickey Fuller (ADF) test, Vector Error Correction Model (VECM) and Autoregressive Integrated Moving Average (ARIMA) model. The result of the trend model revealed that the coefficient for estimating the growth of sweet potato output was positive (0.103) and significant at 1% with an accelerated pattern of growth; the coefficient for estimating the growth of sweet potato yield was negative (-0.033) and significant at 1% with a decelerated pattern of growth while the coefficient for estimating the growth of sweet potato yield was positive (0.0369) and significant at 1% with an accelerated growth pattern. The compound growth rates of sweet potato output, yield and food production was 10.88%, -3.31% and 3.76% respectively. The result of the Augmented Dickey Fuller (ADF) test indicated that all the variables were found to be stationary on first differencing and Johansen co-integration mechanism indicated that there was co-integration among the variables. The results of the ARIMA forecast showed that in the next decade, sweet potato output will be 4697194.87 tones; sweet potato yield will be 0.78 tones/hectare and the index of food production will be 117.71. The study concluded that sweet potato output significantly contributes to food production in Nigeria both in the short and long run. Therefore, the study recommended that Governments at all levels and policy makers should promote sweet potato production as the crops has enormous potentials to increase food production in Nigeria.
{"title":"ASSESSESSMENT OF THE GROWTH OF SWEET POTATO OUTPUT AND YIELD IN NIGERIA (1970 – 2020) AND ITS IMPLICATIONS ON FOOD PRODUCTION.","authors":"D. Abah","doi":"10.59331/njaat.v2i1.13","DOIUrl":"https://doi.org/10.59331/njaat.v2i1.13","url":null,"abstract":"The study assessed the growth of sweet potato output and yield in Nigeria (1970 - 2020) and its implications on food production. The study basically relied on the use of time series data spanning from 1970 to 2020. Data on the variables for the study were collected from the archives of Food and Agriculture Organization (FAO) and World bank database. Data for this study were analyzed using both descriptive such as mean, maximum and minimum with trend graphs and inferential statistics such as Johansen co-integration, Augmented Dickey Fuller (ADF) test, Vector Error Correction Model (VECM) and Autoregressive Integrated Moving Average (ARIMA) model. The result of the trend model revealed that the coefficient for estimating the growth of sweet potato output was positive (0.103) and significant at 1% with an accelerated pattern of growth; the coefficient for estimating the growth of sweet potato yield was negative (-0.033) and significant at 1% with a decelerated pattern of growth while the coefficient for estimating the growth of sweet potato yield was positive (0.0369) and significant at 1% with an accelerated growth pattern. The compound growth rates of sweet potato output, yield and food production was 10.88%, -3.31% and 3.76% respectively. The result of the Augmented Dickey Fuller (ADF) test indicated that all the variables were found to be stationary on first differencing and Johansen co-integration mechanism indicated that there was co-integration among the variables. The results of the ARIMA forecast showed that in the next decade, sweet potato output will be 4697194.87 tones; sweet potato yield will be 0.78 tones/hectare and the index of food production will be 117.71. The study concluded that sweet potato output significantly contributes to food production in Nigeria both in the short and long run. Therefore, the study recommended that Governments at all levels and policy makers should promote sweet potato production as the crops has enormous potentials to increase food production in Nigeria.","PeriodicalId":346909,"journal":{"name":"Nigerian Journal of Agriculture and Agricultural Technology","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133127157","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}
Nura A.Y, Bawa D.B Bawa D.B, Sani, M. H. Sani, M. H.
The study was carried out to assess the socio-economic impact of rural road infrastructure provided by the African Development Bank Community Based Agriculture and Rural Development Project (AfDB-CBARDP) in the States of Adamawa, Bauchi, Gombe, Kaduna and Kwara. Multi-stage sampling procedure was used to select samples for the study. A sample of 80 respondents were used for the study. The data was analyzed using descriptive statistics. The results revealed that the project had achieved 100% set target on the provision of road construction in each of the participating States. Also, 83.0%, 76.0%, 69.0%, 79.0% and 72.0% of beneficiaries’ communities in Adamawa, Bauchi, Gombe, Kaduna and Kwara States rated the roads quality as very good. The result has shown that in Adamawa, Bauchi, Gombe, Kaduna and Kwara States, there was reduction in time of waiting for motor vehicle by 160, 15, 50, 40 and 10 minutes. There was also a concurrent reduction in the transportation fare (Naira/passenger) to the nearby town by ₦50, ₦200, ₦100, ₦150 and ₦50, respectively. The study equally revealed that average yield per hectare of maize has increased from 1500 kg to 2500 kg before and after the project in Adamawa State. In the same vein, average yield in Bauchi, Gombe, Kaduna and Kwara States before the project were 1100 kg, 1200 kg, 1745.6 kg and 1223 kg, while after the project intervention the maize yields more than double to 2500 kg, 2800 kg, 2309 kg and 2309 kg, respectively. Likewise, average yield of cowpea per hectare has increased considerably across the five States of Adamawa, Bauchi, Gombe, Kaduna and Kwara by 69.8%, 65.9%, 51.6%, 73.8% and 46.5%, respectively. Percentage change in income of the sampled respondents indicates an average increase of 67.6% across the beneficiary States. The study concluded a strong positive NPVs and BCRs greater than 1 in all the States. The BCR in all cases indicates that the road projects were worth investing. The study recommended that a willingness to pay analysis to be undertaken as a way of gauging future tariff plan for the use of the road infrastructure to justify and attract private investment.
{"title":"Socio-economic Impact of Rural Road Infrastructure by African Development Bank Community Based Agriculture and Rural Development Project in Selected States of Nigeria","authors":"Nura A.Y, Bawa D.B Bawa D.B, Sani, M. H. Sani, M. H.","doi":"10.59331/njaat.v2i1.3","DOIUrl":"https://doi.org/10.59331/njaat.v2i1.3","url":null,"abstract":"The study was carried out to assess the socio-economic impact of rural road infrastructure provided by the African Development Bank Community Based Agriculture and Rural Development Project (AfDB-CBARDP) in the States of Adamawa, Bauchi, Gombe, Kaduna and Kwara. Multi-stage sampling procedure was used to select samples for the study. A sample of 80 respondents were used for the study. The data was analyzed using descriptive statistics. The results revealed that the project had achieved 100% set target on the provision of road construction in each of the participating States. Also, 83.0%, 76.0%, 69.0%, 79.0% and 72.0% of beneficiaries’ communities in Adamawa, Bauchi, Gombe, Kaduna and Kwara States rated the roads quality as very good. The result has shown that in Adamawa, Bauchi, Gombe, Kaduna and Kwara States, there was reduction in time of waiting for motor vehicle by 160, 15, 50, 40 and 10 minutes. There was also a concurrent reduction in the transportation fare (Naira/passenger) to the nearby town by ₦50, ₦200, ₦100, ₦150 and ₦50, respectively. The study equally revealed that average yield per hectare of maize has increased from 1500 kg to 2500 kg before and after the project in Adamawa State. In the same vein, average yield in Bauchi, Gombe, Kaduna and Kwara States before the project were 1100 kg, 1200 kg, 1745.6 kg and 1223 kg, while after the project intervention the maize yields more than double to 2500 kg, 2800 kg, 2309 kg and 2309 kg, respectively. Likewise, average yield of cowpea per hectare has increased considerably across the five States of Adamawa, Bauchi, Gombe, Kaduna and Kwara by 69.8%, 65.9%, 51.6%, 73.8% and 46.5%, respectively. Percentage change in income of the sampled respondents indicates an average increase of 67.6% across the beneficiary States. The study concluded a strong positive NPVs and BCRs greater than 1 in all the States. The BCR in all cases indicates that the road projects were worth investing. The study recommended that a willingness to pay analysis to be undertaken as a way of gauging future tariff plan for the use of the road infrastructure to justify and attract private investment.","PeriodicalId":346909,"journal":{"name":"Nigerian Journal of Agriculture and Agricultural Technology","volume":"210 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133296836","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}
The study was conducted to examine access to credit and rice production efficiency of rural households in Benue State, Nigeria. The study focuses particularly on the effects of both formal and informal credits on production levels and production efficiency by using a stochastic frontal analysis. Data were randomly collected from 650 farmers consisting of 339 borrowers and 311 non-borrowers by means of well-structured questionnaire which were analyzed through descriptive statistics and stochastic frontier analysis. The results of the SFA showed a clear effect of credit on rice production levels and production efficiency of farmers. Rice production in the borrower group was significantly higher (P<0.05) than that of non-borrowers. Borrowers planted more rice, and spent more on inputs for rice production such as fertilizers, pesticides and hired machinery than non-borrowers except for expenditure on seeds. The borrowers used on average, 0.23 tons seeds and 0.24 tons fertilizer per hectare compared to an average of 0.22 tons and 0.21 tons with corresponding yields of 6.6 tons/ha and 6.0 tons/ha, respectively, for non-borrowers. Findings revealed that, the accessed credits help rice farmers to purchase inputs and improve farming technologies which ultimately transformed into higher productivity of the borrowers. The calculated technical efficiency (TE) of rice farmers ranged from 16.5% to 98.5%, with an average of 85.20%, indicating that almost all farmers achieved rather high technically efficient production. In addition, findings showed that the technical efficiency levels of borrowers were higher than those of non-borrowers confirming the positive influence of credit on production and production efficiency. Furthermore, the study showed that age, farming experience, family size, gender and access to credit are major determinants of TE in the study area. The study concluded that in order to improve the rice production outcomes, various policy recommendations needed to be considered such as expansion of rural credit systems, establishment of more branches of agricultural and community banks and formation of “Savings and Credit Cooperative Unions” (SACCOS) for collective responsibilities and paying loans.
{"title":"ACCESS TO CREDIT AND RICE PRODUCTION EFFICIENCY OF RURAL HOUSEHOLDS IN BENUE STATE, NIGERIA","authors":"F. Ogebe, Oladapo Olagunju, D. Abah","doi":"10.59331/njaat.v2i1.18","DOIUrl":"https://doi.org/10.59331/njaat.v2i1.18","url":null,"abstract":"The study was conducted to examine access to credit and rice production efficiency of rural households in Benue State, Nigeria. The study focuses particularly on the effects of both formal and informal credits on production levels and production efficiency by using a stochastic frontal analysis. Data were randomly collected from 650 farmers consisting of 339 borrowers and 311 non-borrowers by means of well-structured questionnaire which were analyzed through descriptive statistics and stochastic frontier analysis. The results of the SFA showed a clear effect of credit on rice production levels and production efficiency of farmers. Rice production in the borrower group was significantly higher (P<0.05) than that of non-borrowers. Borrowers planted more rice, and spent more on inputs for rice production such as fertilizers, pesticides and hired machinery than non-borrowers except for expenditure on seeds. The borrowers used on average, 0.23 tons seeds and 0.24 tons fertilizer per hectare compared to an average of 0.22 tons and 0.21 tons with corresponding yields of 6.6 tons/ha and 6.0 tons/ha, respectively, for non-borrowers. Findings revealed that, the accessed credits help rice farmers to purchase inputs and improve farming technologies which ultimately transformed into higher productivity of the borrowers. The calculated technical efficiency (TE) of rice farmers ranged from 16.5% to 98.5%, with an average of 85.20%, indicating that almost all farmers achieved rather high technically efficient production. In addition, findings showed that the technical efficiency levels of borrowers were higher than those of non-borrowers confirming the positive influence of credit on production and production efficiency. Furthermore, the study showed that age, farming experience, family size, gender and access to credit are major determinants of TE in the study area. The study concluded that in order to improve the rice production outcomes, various policy recommendations needed to be considered such as expansion of rural credit systems, establishment of more branches of agricultural and community banks and formation of “Savings and Credit Cooperative Unions” (SACCOS) for collective responsibilities and paying loans.","PeriodicalId":346909,"journal":{"name":"Nigerian Journal of Agriculture and Agricultural Technology","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114412688","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}
Evaluation of food price volatility is useful as price variations can be demanding when large and sudden, thereby creating risks for consumers, producers and traders. This paper examined maize price volatility and its implication for food security in the Nigeria by using Autoregressive Conditional Heteroskedasticity (ARCH) model and its extensions (GARCH and TGARCH) based on monthly maize prices between November, 2010 and October, 2017. The results show that maize price is relatively unstable although no evidence of leverage effect was observed. The absence of leverage effect would mean that positive news such as useful policies and good weather have bigger impact on volatility than negative news at the same scale. Consequently, investments in reducing post-harvest losses and storage facilities need to increase to guarantee stable prices and food security.
{"title":"EVALUATING MAIZE PRICE VOLATILITY AND ITS IMPLICATION FOR FOOD SECURITY IN NIGERIA","authors":"Sani, M. H. Sani, M. H., Abu Orefi","doi":"10.59331/njaat.v2i1.2","DOIUrl":"https://doi.org/10.59331/njaat.v2i1.2","url":null,"abstract":"Evaluation of food price volatility is useful as price variations can be demanding when large and sudden, thereby creating risks for consumers, producers and traders. This paper examined maize price volatility and its implication for food security in the Nigeria by using Autoregressive Conditional Heteroskedasticity (ARCH) model and its extensions (GARCH and TGARCH) based on monthly maize prices between November, 2010 and October, 2017. The results show that maize price is relatively unstable although no evidence of leverage effect was observed. The absence of leverage effect would mean that positive news such as useful policies and good weather have bigger impact on volatility than negative news at the same scale. Consequently, investments in reducing post-harvest losses and storage facilities need to increase to guarantee stable prices and food security.","PeriodicalId":346909,"journal":{"name":"Nigerian Journal of Agriculture and Agricultural Technology","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127652021","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}
The Nigerian agricultural sector is characterized by low level of technology adoption which in turn contributes to the low agricultural productivity in the country. This is indeed worrisome given the plethora of interventions by successive governments, multi-lateral and donor agencies working to implement several programmes aimed at promoting technology adoption among farmers. This study examines factors which influence adoption of modern agricultural production technologies among African Development Bank-Community Based Agriculture and Rural Development Programme (AfDB-CBARDP) beneficiaries in Nigeria. To achieve this objectives, Multi stage sampling technique was employed where a total of 1020 farmers/Project beneficiaries across the 5 Project Implementing Units were selected. The data was estimated using the logit regression. The use of the logit model for this analysis is consistent with the literature on adoption (see for instance Griliches, 1957). Result of the maximum likelihood estimates of the Logit regression model has indicated that the relationship between income and improved technology adoption was shown to be positive and statistically significant. Farming experience was also positively related to adoption of the improved technologies and statistically significant at 1% level. The study also reveals that adoption of improved farming technologies increases with credit availability. Farm size on the other hand was negatively related to adoption of fertilizer technology but positively related to seed, post-harvest and livestock improvement technologies at 1% significant level. Correspondingly, the coefficients for improved seed and livestock technologies were positively related to the farmer’s age at 5% significant level. The findings of the study further revealed that profitability of the enterprise is the major reason for technology adoption by the beneficiaries and is considered very important (3.7*). Output/yield and product marketability was the second and most important reasons for technology adoption having a weighted mean scores value of 3.1* and 3.3* respectively. Likewise, among the bundles of technology disseminated under crop sub sector, varietal attributes related to early maturity was adjudged to be important motive for the adoption (2.7*). Inaccessibility of the technology or high cost of production were cited prominently as the main reasons for non-adoption of a particular technology (*Reason ≥2.5). These findings have important implication. The availability of modern agricultural production technologies to end users, and the capacities of end users to adopt and utilize these technologies should always be consider when scaling up innovation practices.
{"title":"Factors Influencing Adoption of Agricultural Technologies amongst African Development Bank Community Based Agriculture and Rural Development Project Beneficiaries in Nigeria","authors":"Nura A.Y","doi":"10.59331/njaat.v2i1.6","DOIUrl":"https://doi.org/10.59331/njaat.v2i1.6","url":null,"abstract":"The Nigerian agricultural sector is characterized by low level of technology adoption which in turn contributes to the low agricultural productivity in the country. This is indeed worrisome given the plethora of interventions by successive governments, multi-lateral and donor agencies working to implement several programmes aimed at promoting technology adoption among farmers. This study examines factors which influence adoption of modern agricultural production technologies among African Development Bank-Community Based Agriculture and Rural Development Programme (AfDB-CBARDP) beneficiaries in Nigeria. To achieve this objectives, Multi stage sampling technique was employed where a total of 1020 farmers/Project beneficiaries across the 5 Project Implementing Units were selected. The data was estimated using the logit regression. The use of the logit model for this analysis is consistent with the literature on adoption (see for instance Griliches, 1957). Result of the maximum likelihood estimates of the Logit regression model has indicated that the relationship between income and improved technology adoption was shown to be positive and statistically significant. Farming experience was also positively related to adoption of the improved technologies and statistically significant at 1% level. The study also reveals that adoption of improved farming technologies increases with credit availability. Farm size on the other hand was negatively related to adoption of fertilizer technology but positively related to seed, post-harvest and livestock improvement technologies at 1% significant level. Correspondingly, the coefficients for improved seed and livestock technologies were positively related to the farmer’s age at 5% significant level. The findings of the study further revealed that profitability of the enterprise is the major reason for technology adoption by the beneficiaries and is considered very important (3.7*). Output/yield and product marketability was the second and most important reasons for technology adoption having a weighted mean scores value of 3.1* and 3.3* respectively. Likewise, among the bundles of technology disseminated under crop sub sector, varietal attributes related to early maturity was adjudged to be important motive for the adoption (2.7*). Inaccessibility of the technology or high cost of production were cited prominently as the main reasons for non-adoption of a particular technology (*Reason ≥2.5). These findings have important implication. The availability of modern agricultural production technologies to end users, and the capacities of end users to adopt and utilize these technologies should always be consider when scaling up innovation practices.","PeriodicalId":346909,"journal":{"name":"Nigerian Journal of Agriculture and Agricultural Technology","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131443075","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}
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