Adoption of recommended rice production practices among women rice farmers in Nasarawa State, Nigeria

The study was conducted in Sahibganj district of Jharkhand. There are 9 blocks in Sahibganj district. Five blocks are selected for study, namely Sahibganj, Rajmahal, Barharwa, Taljhari and Udhwa. All these block cultivated paddy as a main crop. Using simple random sampling technique, twenty five farmers were selected from each of the five selected villages from each block, making total 125 respondents for the study. The study has clearly brought out that the major constraints perceived by farmers were technical constraints related to non availability of inputs at time, financial constraints related to high cost of inputs, and extension constraints related to lack of training on new production technology of paddy. In order to improve rice production and overcome the perceived constraints, rice growers suggested the construction and regular maintenance of adequate rice farming infrastructure, particularly those related to irrigation and drainage, improvement of extension system through training, demonstration, information through different channels), availability of inputs at reasonable price and the provision of crop insurance.

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Farmers’ Climate Change Adaptation Strategies for Reducing the Risk of Rice Production: Evidence from Rajshahi District in Bangladesh

Agronomy ◽

10.3390/agronomy11030600 ◽

2021 ◽

Vol 11 (3) ◽

pp. 600

Author(s):

Shahjahan Ali ◽

Bikash Chandra Ghosh ◽

Ataul Gani Osmani ◽

Elias Hossain ◽

Csaba Fogarassy

Keyword(s):

Climate Change ◽

Climate Change Adaptation ◽

Rice Production ◽

Adaptation Strategies ◽

Production Risk ◽

Substantial Impact ◽

Rice Farmers ◽

Agronomic Practices ◽

Rice Yields ◽

Climate Change Adaptation Strategies

A lack of adaptive capacities for climate change prevents poor farmers from diversifying agricultural production in Bangladesh’s drought-resilient areas. Climate change adaptation strategies can reduce the production risk relating to unforeseen climatic shocks and increase farmers’ food, income, and livelihood security. This paper investigates rice farmers’ adaptive capacities to adapt climate change strategies to reduce the rice production risk. The study collected 400 farm-level micro-data of rice farmers with the direct cooperation of Rajshahi District. The survey was conducted during periods between June and July of 2020. Rice farmers’ adaptive capacities were estimated quantitatively by categorizing the farmers as high, moderate, and low level adapters to climate change adaptation strategies. In this study, a Cobb–Douglas production function was used to measure the effects of farmers’ adaptive capacities on rice production. The obtained results show that farmers are moderately adaptive in terms of adaptation strategies on climate change and the degree of adaptation capacities. Agronomic practices such as the quantity of fertilizer used, the amount of labor, the farm’s size, and extension contacts have a substantial impact on rice production. This study recommends that a farmer more significantly adjusts to adaptation strategies on climate change to reduce rice production. These strategies will help farmers to reduce the risk and produce higher quality rice. Consequently, rice farmers should facilitate better extension services and change the present agronomic practice to attain a higher adaptation status. It can be very clearly seen that low adaptability results in lower rice yields.

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Choice of Rice Production Practices in Ghana: A Comparison of Willingness to Pay and Preference Space Estimates

Journal of Agricultural Economics ◽

10.1111/1477-9552.12180 ◽

2016 ◽

Vol 67 (3) ◽

pp. 799-819 ◽

Cited By ~ 7

Author(s):

Rebecca Owusu Coffie ◽

Michael P. Burton ◽

Fiona L. Gibson ◽

Atakelty Hailu

Keyword(s):

Willingness To Pay ◽

Rice Production ◽

Production Practices ◽

Preference Space

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Adoption of improved rice varieties by farmers in Bende local government area of Abia state

Journal of Agriculture Forestry and the Social Sciences ◽

10.4314/joafss.v11i2.24 ◽

2015 ◽

Vol 11 (2) ◽

pp. 204-215

Author(s):

JC Ijioma ◽

CK Osundu

Keyword(s):

Local Government ◽

State Government ◽

Goodness Of Fit ◽

Information Dissemination ◽

Rice Production ◽

Local Government Area ◽

Farm Size ◽

Tobit Regression ◽

Rice Varieties ◽

Rice Farmers

The study investigated the adoption of improved rice varieties by farmers in Bende Local Government Area, Abia State, Nigeria. A multi-stage random sampling technique was used to select a total of 120 rice farmers. Descriptive statistics and tobit regression model were employed to analyze the data. Results showed that cumulatively 73.3% of the farmers fell within the age range of 20-50 years, most (86.7%) of the rice farmers were literate. More than half (57.5%) of the rice farmers are females. Result further indicated that 43.3% had household sizes of 5-8 persons. A fair proportion (33.3%) had been in rice production for 11-15 years, while majority (73.3%) belongs to farmers’ associations. Fairly good (51.6%) were aware of the improved rice varieties and used it, while a substantial number (93.3%) number of the farmers cultivated swamp rice. MAS 240 variety (mean=3.13), Faro 7 variety (mean=2.95), Faro II variety (mean=2.75), Faro 8 variety (mean=2.70.) and Faro 48 variety (mean=2.68) were highly adopted by farmers in the area. The Chi square value of 7.290 was significant at 1.0% probability level and indicates goodness of fit of the model used. Coefficient of age (-0.023), and gender (-1.967) were negative and significant at 10.0% and 1.0% level of probability respectively. The coefficient of education level (0.041), farm size (0.940), farming experience (0.206) and membership of farmers’ association (0.168) were significant at 5.0% and were positively related to adoption of improved rice varieties. Farmers encountered various problems of paucity of funds (35.8%), scarcity of inputs (22.5%), and dearth of information (20.89). Based on these findings it was recommended that rice farmers should form cooperative societies to enable them raise funds for buying agricultural equipment to boost rice production. More young male farmers should be sensitized and motivated by the state government to take up rice production since female farmers dominate rice production in the area. Extension agencies should increase the level of information dissemination and teaching to the rice farmers’ clientele.Key words: Adoption, Improved Varieties, Rice

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Impact of Irrigation Ecology on Rice Production Efficiency in Ghana

Advances in Agriculture ◽

10.1155/2018/5287138 ◽

2018 ◽

Vol 2018 ◽

pp. 1-10 ◽

Cited By ~ 4

Author(s):

John Kanburi Bidzakin ◽

Simon C. Fialor ◽

Dadson Awunyo-Vitor ◽

Iddrisu Yahaya

Keyword(s):

Economic Efficiency ◽

Production Efficiency ◽

Positive Impact ◽

Stochastic Frontier ◽

Allocative Efficiency ◽

Rice Production ◽

Cross Sectional ◽

Rice Farmers ◽

Effect Regression ◽

The Impact

Irrigation production is a means by which agricultural production can be increased to meet the growing food demands in the world. This study evaluated the effect of irrigation ecology on farm household technical, allocative, and economic efficiency of smallholder rice farmers. Cross-sectional data was obtained from 350 rice farmers across rain fed and irrigation ecologies. Stochastic frontier analyses are used to estimate the production efficiency and endogenous treatment effect regression model is used to estimate the impact of irrigation ecology on rice production efficiency. The impact of irrigation ecology on technical efficiency is about 0.05, which implies farmers producing under irrigation ecology are more technically efficient in their rice production than those in rain fed production. The impact of irrigation ecology on allocative efficiency is about 0.33, which shows that farmers participating in irrigation farming are more allocatively efficient in their rice production than those in rain fed production. The impact on economic efficiency is about 0.23, meaning that farmers participating in irrigation farming are more economically efficient in their rice production than those in rain fed production. Irrigation ecology has positive impact on production efficiency; hence farmers should be encouraged to produce more under irrigation for increased yield and profit.

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How the timing and location of video shows influence learning among rice farmers in Uganda

International Journal of Agricultural Research Innovation and Technology ◽

10.3329/ijarit.v6i2.31709 ◽

2017 ◽

Vol 6 (2) ◽

pp. 77-81 ◽

Cited By ~ 2

Author(s):

Gabriel Karubanga ◽

Paul Kibwika ◽

Florent Okry ◽

Haroon Sseguya

Keyword(s):

Women Elderly ◽

Service Providers ◽

Smallholder Farmers ◽

The Elderly ◽

Cross Sectional Study ◽

Cross Sectional ◽

Farming Communities ◽

Rice Farmers ◽

Catchment Areas ◽

Production Practices

Videos have the potential of enhancing learning among smallholder farmers. The study intended to establish whether timing and location of video shows influence learning among rice farmers in Kamwenge district, Uganda. A cross-sectional study was conducted by interviewing 48 focus group participants; 100 individual video participants and 16 key informants. Geographical Positioning System (GPS) mapping was used to establish the video catchment areas and distribution of video participants. Farmers approved the video for providing timely, useful and reliable information and bringing extension service providers closer to the farming communities. Majority (94%) of the farmers said that video provided useful information that fostered change in rice production practices and technologies. A one sample T-test indicated that the timing and location of video events are significant in influencing learning among farmers particularly by women, elderly and distant farmers. The implication is that locating video shows far away and running them late at night seriously compromised involvement by females, elderly and distant people. Thus, modalities suggested by farmers need to focus on adjusting the timing of video shows and ensuring rotational operational of videos in the respective villages or parishes purposely to reach out to the elderly, distant and women farmers.Int. J. Agril. Res. Innov. & Tech. 6 (2): 77-81, December, 2016

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‘B-M MODEL’ FOR FARMERS’ KNOWLEDGE MANAGEMENT IN INCREASING RICE PRODUCTION

Knowex food and agriculture ◽

10.17501/2682728x.2021.2104 ◽

2021 ◽

Vol 2 (1) ◽

pp. 30-45

Author(s):

BK Mahalder ◽

◽

MB Ahmed ◽

H Bhandari ◽

MU Salam ◽

...

Keyword(s):

Knowledge Management ◽

Field Data ◽

Production Systems ◽

Rice Yield ◽

Rice Production ◽

Practice Change ◽

Clear Understanding ◽

Data Set ◽

Production Practices ◽

The Difference

Quantifying knowledge on agriculture can have many benefits to stakeholders. While many knowledge-based systems exist in modern days for farmers’ decision support, specific models are lacking on how knowledge traits can impact on agricultural production systems. This study employed modelling technique, supported by field data, to provide a clear understanding and quantifying how knowledge management in production practices can contribute to rice productivity in the environmentally stressed southwest Bangladesh. This research accounted for ‘Boro’ rice as the target crop and ‘BRRI dhan28’ as the test variety. The ‘B-M Model’ was developed following the principle and procedure from published literature, ‘brainstorming’ and data from field surveys. Three knowledge management traits (KMT) were defined and quantified as the inputs of the model. Those are: self-experience and observation (SEO), extension advisory services (EAS) and accessed information sources (AIS). The yield influencing process (YIP), the intermediate state variable of the model, was deduced by accounting for the two dominant agronomic practices, seedling age for transplanting and triple superphosphate (TSP) application. ‘Knowledge drives farmers’ practice change which in turn influences yield’ was composed as the theoretical framework of the ‘B-M Model’. The model performed strongly against an independently collected field data set. Across the 180 farmers’ data, the average relative rice yield (RRY) predicted by the model (0.705) and observed in the field (0.716) was close (root mean squared deviation (RMSD) = 0.018). The difference between predicted and observed RRY was not statistically different (LSD = 0.03), indicating the model fully captured the field data. A regression of predicted and observed RRY explained 96% variance in observation, further proving the model’s strength in estimating RRY in a wider range of farmers’ rice yield. In a normative analysis, the practicality and usefulness of the model to stakeholders were simulated for the understanding of how much achievable yield could be expected by changing farmers’ knowledge pool (the sum of three KMT) on rice production practices, and at what combination(s) of KMT to be considered at strategic hierarchy to materialize a targeted achievable yield. To the best of the knowledge, a model quantifying rice yield in relation to knowledge management trait does not exist in literature. Upon successful testing under diverse yield scenarios using multiple and sophisticated statistical tools that enhanced the credibility of the model, it is concluded that the model has the potential to be used for identifying quantitative pathways of farmers’ knowledge acquisition for practice change leading to improved productivity of rice in the southwest region of Bangladesh.

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DETERMINANTS OF AGRICULTURAL LOAN DECISION MAKING PROCESS FOR RICE (ORYZA SATIVA) FARMERS IN ABUJA, NIGERIA. APPLICATIONS OF HECKMAN TWO-STAGE MODEL AND FACTOR ANALYSIS

Journal of Agribusiness and Rural Development ◽

10.17306/j.jard.2021.01381 ◽

2021 ◽

Vol 59 (1) ◽

Author(s):

Olugbenga Omotayo Alabi ◽

Ayoola Olugbenga Oladele ◽

Mohammed Bello Usman

Keyword(s):

Rice Production ◽

Farm Size ◽

Farm Income ◽

Decision Making Process ◽

Stage Model ◽

Gross Margin ◽

Two Stage ◽

Rice Farmers ◽

Factors Influencing ◽

Socio Economic Factors

This study focuses on determinants of the agricultural loan decision-making process of rice (Oryza sativa) farmers in Abuja, Nigeria, using the Heckman two-stage model and factor analysis. This study was designed specifically to achieve the following objectives: determine the socio-economic profiles or characteristics of rice farmers, analyze the costs and returns of rice production, evaluate factors influencing rice farmers’ decision to obtain an agricultural loan, evaluate socio-economic factors influencing the amount of the agricultural loan, and determine the constraints or problems facing rice farmers. A multi-stage sampling design was employed. A total sample of one hundred (100) rice farmers was included, and primary data were utilized. Data were obtained through the use of a well-structured and well-designed questionnaire. Statistical and econometric tools used in analyzing data included descriptive statistics, gross margin analysis, financial analysis, the Heckman two-stage model, and principal component analysis. The results show that 63% of rice farmers were between the age of 31–50 years. The mean age was 41.90 years. About 65% of rice farmers were male, and 54% of them were married. Also, 93% of rice farmers had formal education and were literate. The household sizes were large, with an average of six persons per household. An average of 71,550 nairas was the loan amount granted to rice farmers by financial institutions. The average farm size amounted to 1.49 hectares. Factors influencing the decision of rice farmers to obtain agricultural loan included age (P < 0.01), marital status (P < 0.05), household size (P < 0.10), educational level (P < 0.05), farm size (P < 0.05), farm and non-farm income (P < 0.10), farm experience (P < 0.05), collateral property (P < 0.05), extension services (P < 0.10), and awareness of loan or credit facilities (P < 0.05). Rice production was profitable with a net farm income of 744,300 nairas. The gross margin ratio of 0.95 means that 95 kobos covered profits, taxes, expenses, interest, and depreciation for every naira invested in rice production activities. Socio-economic factors statistically and significantly influencing the amount of agricultural loan obtained by rice farmers included (P < 0.05) sex (P < 0.01), household size (P < 0.05) and educational level (P < 0.01). The constraints facing rice farmers in obtaining the agricultural loan and production activities included lack of collateral property, lack of fertilizer input, poor-quality feeder roads, lack of credit facilities, inadequate labor input, and complicated and costly administrative procedures to obtain a loan. It is recommended that agricultural loans be made available to rice farmers in sufficient amounts and at low-interest rates. Also, farm inputs, fertilizer inputs, improved seeds, and chemicals should be made available to rice farmers

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Climate Change and Profit Loss

Advanced Integrated Approaches to Environmental Economics and Policy - Advances in Finance, Accounting, and Economics ◽

10.4018/978-1-5225-9562-5.ch006 ◽

2020 ◽

pp. 105-119

Author(s):

Huynh Viet Khai

Keyword(s):

Climate Change ◽

Natural Environment ◽

Saltwater Intrusion ◽

Mekong Delta ◽

Rice Production ◽

Social Characteristics ◽

Salinity Intrusion ◽

Rice Farmers ◽

The Difference

The chapter aims to evaluate the profit loss of rice farmers due to salinity intrusion by collecting the information of rice production in three regions with the same natural environment conditions, social characteristics (e.g., the same social and farming culture, ethnicity, type of soil), and only differed with respect to the level of salinity in Soc Trang province, one of the most salinity-affected areas in the Vietnamese Mekong Delta. The study estimated the profit loss in rice production due to saltwater intrusion by the difference in rice profit between the non-salinity and salinity regions and showed this loss was about VND 9.3-15.1 million per ha-1 a year.

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Perception of Climate Change and the Adaptation Strategies and Capacities of the Rice Farmers in Kedah, Malaysia

Environment and Urbanization Asia ◽

10.1177/0975425318822338 ◽

2019 ◽

Vol 10 (1) ◽

pp. 99-115 ◽

Cited By ~ 3

Author(s):

Rulia Akhtar ◽

Muhammad Mehedi Masud ◽

Rafia Afroz

Keyword(s):

Climate Change ◽

Adaptive Capacity ◽

Rice Production ◽

Adaptation Strategies ◽

Government Support ◽

Extension Services ◽

Rice Farmers ◽

Changing Climate ◽

Government Aid ◽

Available Information

This article attempts to understand the perception of the rice-growing farmers on the issue of climate change (CC) and identify their adaptive capacity (AC). A survey was conducted through structured questionnaires to understand farmers’ perception and adaptation strategies in response to changing climate and variability. The findings indicate that farmers are moderately adaptive to CC in the study area. The result also revealed that the main barriers are lack of funds and government support available information to CC. Farmers with higher AC can produce greater amount of rice. Rice producers should be enabled through improved extension services, government aid, such as grants, training for better level of adaptability, to help them achieve higher rice production.

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