scholarly journals Ordinal regression Assessment of orange Postharvest loss determinants among Orange Farmers in Konshisha Local Government Area of Benue State

2021 ◽  
Vol 4 (1) ◽  
pp. 220-231
Author(s):  
MY Dooga ◽  
PO Agada ◽  
IO Ogwuche

Orange wastage through postharvest losses has contributed to food scarcity, economic loss and massive importation of food items in Nigeria. The research was mainly carried out to investigate the determinants of orange postharvest losses among orange farmers in Konshisha Local Government of Benue State, North Central geopolitical zone of Nigeria. Primary data was collected from the orange farmers using structured questionnaires and key informant interviews. Descriptive statistics and Ordinal Regression model were used to analyse the data collected. The quantity lost was perceived at six (6) categories. The results revealed that most (63.7%) of the farmers were above 34 years of age. Also the majority (95.1%) were male, while 55.3% of the respondents’ farm size was relatively large with 200 and above stands of orange. The farmers’ literacy level was 73.6%. Those that belonged to farmers groups were 39.5. Further results established the use of probit link function in the ordinal regression modelling and that the significant factors affecting orange postharvest losses in the area are farmer’s lack of education and farmers not belonging to any association or group. The only significant covariate with the postharvest loss quantity of orange is farm size. The test of parallel lines established that, the location parameters (slope coefficients) are the same across response categories.

2018 ◽  
Vol 16 (1) ◽  
pp. 115-127
Author(s):  
R Khanum ◽  
MSA Mahadi ◽  
MS Islam

The study examined the profitability and factors affecting farm income from pig farming in Moulvibazar district of Bangladesh. A multistage sampling technique was followed to select 70tribal women entrepreneurs involved with pig farming. Primary data were collected through structured questionnaire and analyzed using descriptive statistics, independent sample t-test, benefit-cost analysis, and linear regression model. Average age of pig entrepreneurs was 39.47 years which indicates that they are young and agile. About 71% of Garo entrepreneurs had experience for pig farming. The cost and return analysis showed that in one year, the gross margin was Tk. 56743.70, while the benefit-cost ratio (BCR) was 1.19 indicating that the enterprise is profitable. Regression analysis revealed that three variables namely farm size, age of the respondent and experience of pig farming are significant factors affecting farm income. Thus, it was recommended that tribal women should be encouraged to practice pig farming to overcome their low income and unemployment situation.SAARC J. Agri., 16(1): 115-127 (2018)


Author(s):  
A. A. Dalla ◽  
S. K. Vihi ◽  
B. Jesse ◽  
L. G. Tor

This study assessed cost and returns analysis of groundnut production in Qua’an Pan Local Government Area of Plateau State, Nigeria. The specific objectives were to determine the socio economic characteristics of groundnut producers in the study area, estimate the cost and returns of groundnut production, determine the input and output relationship in groundnut production and identify the constraints faced by groundnut farmers in the study area. Multistage sampling technique was used in selecting 150 respondents for the study. Primary data were collected through the use of structured questionnaires and interview technique and were subjected to both descriptive and inferential statistics. The results obtained from the study revealed that the mean age of the respondents was 38 years with males dominating (82%) the groundnut production enterprise in the study area. Greater (85%) percentages of respondents were married with majority (64%) of them having primary school education. The respondents had an average household size of nine (9) persons, a mean farming experience of 9.3 years and an average farm size of 3.0 hectares. The result also revealed that majority (72%) of the respondents did not belong to any cooperative/ farming association. The result indicates that majority (79%) of the groundnut farmers acquired their farmland by inheritance. Groundnut production in the study area is profitable. The average output obtained per hectare was 696 kg at the prevailing selling price of ₦280/kg. The total revenue (TR), gross margin (GM) and, net farm income (NFI) per hectare obtained were ₦194880, ₦139380 and ₦123730 respectively. The return on naira invested (RNI) by farmers in the study area was ₦1.70 indicating that for every one naira invested, ₦1.70 profit was gained. The result of the double log production function analysis shows that farm size, cost of fertilizer and cost of labour were statistically significant and influenced the profitability of groundnut production.  Major constraints to groundnut production in the study area include; high cost of inputs (64 %), high cost of labour (49 %), lack of organized market system (47%), land tenure (42%) among others. The study recommends that groundnut stakeholders and research institutes should work more on introducing new improved groundnut varieties. Government should subsidize groundnut inputs like recommended fertilizer and herbicides so as to motivate farmers to grow groundnut. Government should establish organized marketing systems where farmers will have proper and reliable linkages with buyers thereby reducing the undue exploitative tendencies of the middlemen.  Improved storage facilities should be provided so that farmers could store their produce to avoid spoilage and for sale during times of scarcity.


2020 ◽  
Vol 10 ◽  
pp. 114
Author(s):  
Ezekiel Olaoluwa Akerele ◽  
Damilola Tobi Babayanju ◽  
Olumayowa Oyebanjo

This study examined farm size and productivity of food crop farmers in Abeokuta North Local Government Area of Ogun State, Nigeria. The study was based on primary data obtained through the use of structured questionnaires. The survey involved a cross section random selection of 112 farming households from the study area. Data were obtained on the socio – economic characteristic of the farming members of the households, mode of land acquisition, parcels of land available for cultivation, total parcels of land cultivated, resources used, cost and outputs of food crops on parcels of land cultivated. The data was analyzed by both descriptive statistics and stochastic frontier model with the level of land fragmentation measured by Simpson index as well as the number of parcel cultivated. It was found that significant evidence exists to show that most farms cultivated in the study area are relatively fragmented which was caused by inheritance mode of land acquisition and this have effect on food crop production. The farm sizes cultivated by farming households have significance effect on output. Hired labour and cost of intermediate materials used have significant effect on the production efficiency of farmers. The finding revealed that most farming households in the study area were found operating relatively on scattered farm land. On the basis of the above findings, it was recommended that Farmers' accessibility to loans should be addressed by government and to establish farm estate, pattern of land holding and also acquisition of more farmland should be addressed for high production efficiency.


Author(s):  
Amurtiya Michael ◽  
Yuniyus Dengle Giroh ◽  
Mark Polycarp ◽  
Zubairu Emmanuel Ashindo

The purpose of this study was to analyse rural farm households’ access to formal agricultural credit in Yola South Local Government Area of Adamawa state, Nigeria. Descriptive and inferential statistics were used to analyse the primary data collected using structured questionnaire (from 140 rural farming households). Findings from the study have shown that, 90 % of the respondents were male, mostly educated (70 %) and married (89 %) engaging in farming as their primary livelihood activity (about 81 %) with an average farm size of 2.47 hectares. The result of the binary logit regression has shown that level of education and income do influence access to credit positively, while age and distance to access point negatively influence respondents’ access to formal credit. The study further revealed that, lack of acceptable collateral / security, high interest rates, low financial literacy, and complex banking procedures were the main factors that limits the respondents’ access to credit facility from formal sources. In order for farmers to have an improved access to formal credits, the formation of strong groups that are viable to provide the needed capital is encouraged, banking operations should be simplified to suite farmers’ needs / convenience and financial literacy among farmers should be improved through awareness campaigns (in agricultural extension packages).


2020 ◽  
Vol 24 (2) ◽  
pp. 71-79
Author(s):  
Suneeporn Suwanmaneepong ◽  
Chanhathai Kerdsriserm ◽  
Krichanont Iyapunya ◽  
Unggoon Wongtragoon

This study analysed the factors affecting the adoption of organic rice production in Chachoengsao Province, Thailand. Primary data were collected through structured questionnaire completed by 108 farmers: (58 organic rice farmers and 50 non-organic rice farmers) in Chachoengsao Province, Thailand. A t-test was employed to investigate the differences in the demographics of organic and non-organic rice farmers, and percentage mean, and standard deviation was used to describe farmers’ attitudes. Logistic regression was employed to investigate factors influencing organic rice adoption, educational level, and farm size were significantly different between the organic and non-organic rice farmers. Education (positive), farming experience (positive), age of household head (negative) and farm size (negative) had highly significant (p ≤ 0.01) influences on organic farming adoption. The farmers’ attitude toward environmental concern was the most important reason for adopting organic rice farming. This research identified the factors affecting the adoption of organic rice farming; this information can be used to encourage farmers to practice organic rice farming in the targeted organic rice area in Thailand. In addition, the farmers’ attitudes toward organic farming systems could be used to help support farmers practicing organic rice farming. Keywords: organic rice adoption, organic rice production, organic farming adoption, farmer attitudes.


2019 ◽  
Vol 8 (1) ◽  
pp. 104 ◽  
Author(s):  
Lovemore M. Rugube ◽  
Sifisile P. Nsibande ◽  
Michael T. Masarirambi ◽  
Patricia J. Musi

Agriculture is the main anchor of the Eswatini economy and profitability in this sector still remains vital for sustainable development of the economy. This study investigated the factors affecting profitability of smallholder vegetable farmers in the Shiselweni region. Primary data was obtained using a structured questionnaire and personal interviews from 60 vegetable farmers. Data was analyzed using descriptive statistics, enterprise budget, profitability ratios and multiple linear regression models. The SPSS software was used. The results showed that the mean age of the vegetable farmers was found to be 50.5 years, the mean household size was 8 people, mean farming experience was 3 years, mean farm size was 3 hectares and the majority of the farmers had high school education. The net income of smallholder vegetable farmers was E5810.30. The results of the multiple linear regression analysis revealed that land size, gender, household size, had a direct relationship with profitability of vegetable production while age, education, experience, income and labour had a negative relationship. Farmers requested that the subsidized farm inputs should arrive on time, new engines be bought for them and dams be constructed to generate irrigation water in winter.


2019 ◽  
Vol 10 (2) ◽  
pp. 295-308
Author(s):  
Naomi Onyeje Doki ◽  
Criscent Ike Eya ◽  
Mnena Franca Tughgba ◽  
Ogah Gabriel Akahi ◽  
Agnes Ameh

This study examined the determinant of postharvest losses of orange in two Local Government Areas of Benue State. The aim of the study is to identify the most important factor responsible for postharvest losses of oranges in the study area so that proactive steps should be taken in forestalling future losses. The research used primary data from a population of forty respondents (40). Eighteen farmers and twenty-two orange marketers were purposively selected from two Local Government Areas in Benue State using a structured questionnaire. The data were ana-lyzed using the Statistical Package for Social Science (SPSS) Version 20.0. The data collected were analyzed us-ing logit regression to establish the effect of each of the factors on post-harvest losses in the study areas. The re-sult of the study indicates the following factors; Formal Education, Method of harvesting and Handling showed significant effect (p<0.05) on post-harvest losses. The method of harvesting was 4.698 times more likely to affect post-harvest losses than all the other variables of the study. Results from the second model indicate that factors such as; Packaging, Storage, Handling and Marketer's Experience showed a significant effect on post-harvest losses in the study areas. The study showed that the method of storage was 5.767 times more likely to affect post-harvest losses than all the other variables of the study. The study recommends that scientific approaches like mod-ern harvesting methods, improved storage, and handling facilities should be adopted to reduce post-harvest losses of orange.


Author(s):  
P. G. Kughur ◽  
A. A. Aveuya ◽  
Y. Kuza

Information plays a very important role in agriculture in particular and life in general. Agriculture has become information-intensive; information is required for livestock and crop production. It empowers farmers to respond to market incentives, risks, and competition. Farmers access information from a variety of sources. These sources can be divided into formal and informal information networks. The study assessed extension delivery methods to farmers in Apa Local Government Area of Benue State, Nigeria. Stratified, purposive and simple random sampling techniques were used in selecting 125 respondents through survey. Primary data were collected using a structured questionnaire. Data collected were analyzed using descriptive statistics. The findings revealed that males were 74.2%, the respondents 49% were between 26 and 35 years, 61.7% were married, 52% had farm size of 6 hectares and above. About 34% earned an estimated annual income of between ₦100,000.0 and ₦500,000.0, 83.3% acquired land through inheritance and 47.5% obtained information from extension services using radio. About 50% of identified characteristics of the effectiveness of extension delivery methods used were helped solve problems and 86% of constraints to the effectiveness of extension delivery methods used were poor infrastructure. It is recommended that government and non-governmental organizations should provide infrastructure, organize adult education for farmers and organize training to update knowledge of extension workers.


2017 ◽  
Vol 42 (1) ◽  
pp. 171-184
Author(s):  
MA Hossain ◽  
M Khatun ◽  
MA Matin ◽  
MF Dewan

The study was conducted for assessing postharvest loss of major fruits in different hill regions of Bangladesh. The study areas covered four hill districts, namely Rangamati, Khagrachari, Bandarban and Moulvibazar and six selected fruits, namely mango, jackfruit, litchi, banana, pineapple and orange. These fruits are grown intensively in hill regions compared to other parts of Bangladesh. Data were collected from 2050 fruit growers and 749 traders of eight (8) upazilas considering accessible and less accessible areas. At farmers and traders level, the total postharvest loss of banana, pineapple, orange, mango, litchi and jackfruit were 372, 274, 200, 243, 165 and 380 kg/mt which was accounted about 37%, 27%, 20%, 24%, 17% and 38% of total production respectively. The main postharvest losses at farm level were incurred due to severe attack of insect, bat, squirrel and monkey. For traders, major losses were incurred during transportation. On the basis of retail price, the annual economic loss was estimated as Tk. 2107.5 crore and the maximum loss was incurred for banana (Tk. 705.79 crore) followed by pineapple (Tk. 550.58 crore) and mango (Tk. 508.95 crore) and the lowest for orange (Tk. 1.12 crore). It is interesting to note that, transportation dummy, labour dummy and market demand dummy had negative and significant effect on the postharvest losses. If transportation facilities can be improved and market demand and labour availability can be increased, postharvest loss will be decreased to an acceptable level at the study areas.Bangladesh J. Agril. Res. 42(1): 171-184, March 2017


2016 ◽  
Vol 12 (8) ◽  
pp. 201 ◽  
Author(s):  
Supaporn Poungchompu ◽  
Supawadee Chantanop

<p>Rice combine harvesting is popular among farmers due to a labor shortage and high wage labor. This condition impacts on the rapid expansion of business of rice combine harvester service. The objective of this research was to evaluate the service characteristics of rice combine harvester for farmer and factor affecting the use of combine harvester. Primary data was collected purposively 85 operators and randomly 729 farmers with statistic analysis. Results of the study indicated that the harvesting cost of 798.48 THB/rai for using a combine harvester in wet season is smaller than the cost of manual harvesting of 1,542.17 THB/rai. The important factors affecting the use of combine harvest were farmers’ education, farm size and family size. Net return from this service business is over 250 THB/rai or over 35 % of total profit that it is economic benefit for operators. But, the operators faced high cost of fuel and of repair and maintenance cost due to unskilled operation. Thus, the government should establish a network of harvester service operators as well as encourage more maintenance training for local operator in order to high utilization efficiency in rice combine harvester. Also, the government should support farmer to expand their farm sizes by the establishment of a group farmer to easy access the use of rice combine harvester and should give wider farmer awareness education for higher adoption of combine harvester use.</p>


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