Farming Experience Research Articles

Insights and oversights: Behind the data on agritourism and direct sales in the United States

Agritourism is growing worldwide as farmers and ranchers seek alternative sources of revenue, and consumer demand for agricultural experiences is on the rise. Understanding this sector is important for policymakers, researchers, agricultural service providers, and others seeking to support farm viability and rural entrepreneurship. However, in the U.S., this support is hampered by the lack of a clear definition and consistent, comprehensive means for measuring the agritourism sector. The best available data for the U.S. are from the quinquennial U.S. Department of Agriculture National Agricultural Statistics Service (USDA NASS)’s Census of Agriculture. However, the two questions used by the Census of Agriculture that relate to agritourism are worded in ways that limit a comprehensive understanding of the size and scope of the sector. To illustrate the limitations, we highlight cases from two U.S. states (Texas and Vermont), where different forms of agritourism are present. One such form, hunting, is included in the USDA’s economic assessments of agritourism; another, pick-your-own berries, is not. Along with tastings and purchases of locally grown products, this falls in the category of direct sales. The discrep­ancy can result in misrepresentation and misinter­pretation of the data in analyses and subsequent publications with distorted policy recommenda­tions related to agritourism. We discuss these cases alongside recommendations on how to more accurately measure, and support, agritourism development in the U.S.

An Empirical Study of Financial Efficiency and Stability of Crab–Shrimp Farming Model In Mekong Delta, Vietnam

The study is conducted with the goal of analyzing the financial efficiency of 308 crab - shrimp farming households in the Mekong Delta, finding factors that affect financial efficiency and the extent of their influence on farm household income. Research results show that extensive crab-shrimp farming households are highly effective. With the average cost of investment in production during the crab farming process of 2,051 thousand VND/1,000m2, the average revenue brought from farming Crab farming of 5,099 thousand VND/1,000m2, farmers have an average profit of about 3,020 thousand VND/1,000m2. The average value of the financial ratios shows that the production model in the Mekong Delta is financially effective, the average value of the revenue/cash cost is 8.08, profit/total costs is 2.31, net income/cash costs is 7.08, and profit /revenue is 0.37. Factors affecting the profits of extensive mud crab farmers consist of three influencing factors: Area, crab/total crab ratio, and farmers in Kien Giang Province. Additionally, the number of years of farming experience has an influence, but its impact is not statistically significant

Reasons and Criteria for Selecting and Culling Dairy Cows in Small and Medium Farms in the Northeastern Region of Thailand

The objective of this study was to investigate the criteria for cow culling and the methods used for semen selection in small and medium dairy farms in Thailand. Dairy cows on small and medium farms are culled for many different reasons. Methods of selection and culling were examined using data collected from a questionnaire asking about the number of milking cows, farm experience in raising dairy cows, criteria used for culling cows, selection of new cows, replacement cattle, and semen for breeding. Ninety-one farms were randomly selected using a snowball technique from dairy cooperatives in Khon Kaen, Maha Sarakham, and Sakon Nakhon Provinces, Thailand, with data analyzed using ANOVA and Chi-square statistics. The results showed that most farmers did not cull cows due to low milk production or aging (71.43%, 72.53%) and used 5 to >12 insemination events as a criterion for involuntary culling (50.55%). Chronic mastitis was the highest health reason for culling cows (52.10%). Farmers usually kept on-farm female calves as replacement cows (41.67%), chosen by considering their dams’ milking ability. Most farmers (67.00%) let an artificial inseminator select suitable semen for their cows. When selecting pregnant heifers for replacement, the farmers considered body conformation, udder characteristics, and cow price. Farmers with small and medium farms conducted low levels of voluntary culling and paid less attention to the genetic information of the semen. In summary, this study explains various factors influencing the selection and culling of dairy cows. Challenges leading to cattle culling included mastitis and infertility. Educating farmers on hygiene, reproductive systems, and household accounting is imperative as it facilitates sustainable cattle rearing practices.

Farmer’s Knowledge on Utilization of Chemical Fertilizers as Soil Fertility Enhancement Option in Ruhumuro Sub-County, Bushenyi District

The study focused on assessing the farmer’s knowledge on utilization of chemical fertilizers as soil fertility enhancement option in Ruhumuro sub-county, Bushenyi district. It was limited to; establishing the local farmers’knowledge on the use of chemical fertilizers, investigating the factors that influence farmers’ decisions to utilize chemical fertilizers and establishing the benefits that local farmers achieve from utilizing chemical fertilizers. The study employed a cross-sectional research design and primary data was collected from 200 respondents. the data was analyzed using SPSS version 22.0. The study concluded that farmers had local knowledge on use of chemical fertilizers where they revealed that, fertilizer use is influenced by on agro-climatic conditions and farm characteristics at (p=.027), profitability is the principal incentive to adopt fertilizer use at (p=.021), fertilizer use ensure high productivity and yields at (p=.003). The decisions on fertilizer use has mainly considered credit access and price at (p=.026) Fertilizer use alter the soil properties at p= (.029). Fertilizer applied to farmers’ crops do not provide optimal economic returns to farmers as (p=.312) as non-significant. The study also concluded that there were factors that influence the farmers’ decisions to utilize chemical fertilizers. Such as; ownership of land (p=.022), labour avialability (p=.024), Cost of the fertilizers (p=.004) and un-availability of credit services/financial institutions offering services (p=.028). Non-significant factors included; farming experience and level of education (p=.427, p=.369). The study concluded that there were benefits that local farmers achieve from utilizing chemical fertilizers. Such as; Restoration of soil fertility (<i>x<sup>2</sup></i> = 3.002, p=0.021), Sustainable food production (<i>x<sup>2 </sup></i>= 2.441, p=0.001), Income security (<i>x<sup>2</sup></i> = 0.871, p= 0.010), Improvement of crop yields (<i>x<sup>2</sup></i> = 3.123, p=0.023) and Contribute to greenhouse effect (<i>x<sup>2</sup></i> = 4.211, p=0.141) which was not significant. The study recommends that, there is a need for policymakers and agricultural stakeholders to consider the social, economic, and environmental implications of the widespread use of chemical fertilizers. Constant extension training services on chemical fertilizer use should be done to help farmers use the recommended dosage of fertilizers to avoid environmental degradation due to lack of adequate knowledge on fertilizer utilization. Government should undertake legal reforms to recognize and protect the rights of vulnerable groups to own and use land. They should also put in place mechanisms to ensure that the law is enforced.

Solar empowerment in agriculture: investigating photovoltaic energy’s impact on efficiency among wheat farmers

Persistent electricity shortages in Pakistan, causing prolonged grid power load shedding, have adversely impacted various sectors, notably agriculture and the livelihoods of rural farmers. Literature suggests that adopting photovoltaic solar energy can mitigate these issues. This research aims to measure the impact of photovoltaic solar energy on the technical efficiency of food productivity in Khyber Pakhtunkhwa, Pakistan, applying data from 580 respondents. Addressing self-selective bias through ESR and stochastic frontier production function model is utilized to assess technical efficiency. The findings of this study reveal that farmers using solar energy experience a significant improvement in technical efficiency, with 15.8 percent of them achieving a 7.643 percent increase, after accounting for self-selection bias. Furthermore, the positive effects are more pronounced among larger farms and those with greater farming experience. This study underscores the importance of evidence-based approaches in implementing solar energy solutions, highlighting their potential to foster sustainability and equitable development at the grassroots level. The research culminates with policy recommendations that underscore the importance of promoting the photovoltaic solar energy use among farmers to improve food security and increase agricultural productivity.

Factors Affecting Seaweed (Eucheuma cottoni) Production in Banten Province (Case in Lontar Village)

Seaweed is one of the plants that has a lot of potential as a functional food ingredient, active ingredient of drug preparation and even cosmetics that are quite natural in producing various pharmacological activities both as a source of antioxidants, antibacterials, antimicrobials and anticancer. Seaweed is currently a potential asset for areas that are able to produce it to meet the increasing market needs. Lontar Village, located in Banten Province, is one of the main seed producing areas. However, seed production factors are one of the main indicators that need to be used as a standard in this study, such as the length of the rope span, age characteristics, education characteristics, characteristics of the seed farmer's business experience. This type of research is quantitative and data is obtained primarily and secondarily. The data obtained were analyzed using the SPSS 26 program. The results of the study showed that the factors that influence seaweed production in Banten Province, especially Lontar Village, are influenced by the length of the rope span, age characteristics, education characteristics, characteristics of the seaweed farmer's business experience. The conclusion is that seaweed production is influenced by various characteristics, namely age, education, and seaweed farming experience.

Analysis of Factors Influencing Farmers’ Decisions in Using Certified Seeds in Pemayung District Batang Hari Regency

This study was conducted with the objectives: 1). To identify factors that influence farmers' decisions in using certified seeds in Pemayung District. 2). To analyze factors that influence farmers' decisions in using certified seeds in Pemayung District. The study was carried out in the Batang Hari Regency's Pemayung District. Because the majority of rice growers here utilize certified seeds, this location was selected. After the discussion, a constant value (a) of -3.085 was determined. This indicates that the value of the seed usage decision is -3.085 if all the factors under study (age, income, experience, education level, and land area) have values equal to zero (0). The value of the age coefficient (b1) is 0.142. This indicates that, provided the values of the other variables remain constant, an increase of one unit in the age variable will result in a 0.142 unit drop in the seed usage decision's value. The coefficient value (b2) for education level is 0.518. The results of Nagelkerke R Square demonstrate the influence of the variables of age (X1), education (X2), farming experience (X3), land area (X4), and income (X5) on this variable. This indicates that a 42% explanation of the dependent variables can be attributed to the independent variables in the model. Other factors not included in this study, such as the activity of farmer groups, risk preferences, land ownership status, and others, account for the remaining 58% (100% - 58%). The Education variable, with a Wald value of 4.613 and a Significance value of 0.032, and the Business Experience variable are the variables with a Wald value larger than 3.841 and a significance level lower than 0.05. While other factors, such as income, land area, and age, have significance values larger than 0.050 and Wald values smaller than 3.841, they have no effect on farmers' decisions to use certified seeds.

Typology of smallholder maize farmers in South-Kivu, Eastern D.R. Congo: implications in improving farming practices and markets

Understanding the typology of smallholder maize farmers is crucial to elucidate the diversity in local farming systems, and therefore, devise effective interventions and policies that maximize the impact of agricultural innovations in South-Kivu province, eastern Democratic Republic of Congo (DRC). This study aimed at characterizing maize farmers in South-Kivu province and clustering them based on various socioeconomic and agronomic factors to identify specific production constraints and devise more effective interventions. A household survey among 300 South-Kivu maize farmers allowed to identify four distinct clusters based on farm size, land use, income, and agricultural technology adoption. The clusters ranged from resource-poor smallholder (Types 1 and 2) to medium-resource semi-innovative producers (Type 3) and highly equipped innovative farmers (Type 4). Key discriminative factors included total farm size, maize farm size, farming experience, access to agricultural credit, income, and innovation adoption rate. This study revealed specific constraints for each cluster, including low soil fertility, poor weed management, low market access, and labor scarcity. This study’s findings demonstrate the value of farm typology in guiding targeted interventions to address specific constraints and improve maize productivity, and suggest specific strategic directions for research and development projects in rural areas of the South-Kivu province.

Farmers Participation in Community-Based Extension Organizations

This study investigated the involvement of farmers in community-based extension organizations as a new approach to alleviating rural poverty in Kaduna State, Nigeria. The research included 437 respondents from 18 communities across 6 local government areas, randomly selected from two agricultural zones. Descriptive statistics were utilized to address the study's objectives, while inferential statistics, including multiple regression, t-tests, and binomial statistics, were employed for data analysis. Findings indicated that the respondents had an average residence duration of 14 years, an average age of 45 years, an average household size of 7 persons, average farm size of 3 hectares, and 11.7 average years of farming experience. A majority (81.5%) of the respondents exhibited a moderate level of participation in their community-based extension organizations, which led to a significant increase in farm income, averaging N92,907.18 after becoming members of CBEOs. Respondents showed a favourable attitude (82%) to participation in the groups they belong with particular interest in the areas of: participation in the group has enhanced my farm output and participation in the group has improved my income, amongst other issues of consideration. Socio-economic characteristics that significantly affect farmers income are; participation score (b = 0.029; t = 1.992), length of community residence (b = 0.078; t = 1.964), age (b = -0.029; t = -2.584), educational status (b = 0.125; t = 2.610), household size (b = 0.054; t = 1.979), farm size (b = 0.068; 3.184) and farming experience (b = 0.068; t = 1.999). It was recommended that respondents’ interest should be jacked up to reflect more interest in the groups they belong by improving on their level of participation.

Agricultural Policy Reforms and their Effects on Smallholder Farmers: A Comprehensive Review

Agricultural policy reforms are critical in influencing the economic, social, and environmental conditions of smallholder farmers, who represent a significant portion of the agricultural workforce in developing countries. These reforms, implemented through various strategies such as market liberalization, subsidy adjustments, and land tenure reforms, have far-reaching implications. This review article delves into the multifaceted effects of agricultural policy reforms on smallholder farmers, providing a comprehensive analysis of their historical context, economic impacts, social outcomes, and environmental consequences. By examining the evolution of these policies from the pre-structural adjustment era to the present, we aim to shed light on both the successes and challenges faced by smallholder farmers. The review also highlights case studies from different regions, illustrating the diverse experiences of smallholder farmers under varying policy frameworks. Ultimately, this article offers policy recommendations designed to enhance the resilience and productivity of smallholder farming communities, ensuring sustainable development and food security in the face of global challenges such as climate change and economic volatility.

Is there a LINKAGE between credit access, land use, and crop diversification in achieving food security? Evidence from cocoa-producing households in Nigeria

Cocoa farmers in Nigeria adopt crop diversification to safeguard the food security of their households. Although credit and land are thought to play a vital role in crop diversification, they continue to have limited access to credit and land. This study investigated the linkages between access to credit, land use, crop diversification, and food security with a focus on cocoa farming households. A multistage sampling procedure was used to obtain data for the study. Data were analyzed with the aid of descriptive statistics, the Heifindahl index, the Tobit regression model, the food consumption score, and the ordered Logit regression model. The results for the entire respondents showed mean values of 55 years for age, 31 years for farming experience, 6 people for household size, and 5 ha for farm size. Heifindahl index shows 38.67 % of the respondents had low crop diversification in the study area. Tobit regression model reveals that access to credit, farming experience, cooperative organization, access to extension service, farm size, distance to farms, and labour are the main albeit significant factors that determine crop diversification among cocoa farming households. Food consumption score revealed that 46.67 % were poor, 30.67 % were at the borderline and about 27.67 % were within the acceptable threshold. The ordered logit model revealed that crop diversification index, formal education, access to credit, farm size, land use, and farming experience have a significant influence on the food security of households. The study concluded that there is a positive relationship between access to credit, land use, crop diversification, and food security. Therefore, the government and financial institutions should make credit facilities accessible to cocoa farmers to improve their livelihood.

DEMOGRAPHIC TARGETING OF USERS IN MOBILE APPLICATIONS FOR LIVESTOCK DIGITAL MARKETING AMONG SMALLHOLDER CATTLE FARMERS

Several livestock diseases leading to high mortality rates among animals have raised concerns about a potential food crisis in Indonesia. To prevent further spread of these diseases, access to livestock sheds has been restricted. This situation has highlighted the importance of developing alternative marketing channels to facilitate livestock trade. The present study investigates the demographic factors that influence farmers' interest in adopting mobile applications for digital livestock marketing in the Special Region of Yogyakarta. The data for this research was collected from a stratified random sample of 968 respondents across four regions. Prior to the interviews, farmers were provided with an introduction and given the opportunity to experience the mobile applications firsthand. The data analysis employed descriptive statistics, non-parametric analysis, and a logistic regression model. The results indicated a significant (p < 0.05) association between variables such as the farmer's age, educational level, women's decision-making power, farming revenue, cattle ownership, farming experience, and interest in using mobile applications for livestock digital marketing. However, no distinction in adoption interest was observed between farmers who were members of agricultural groups and those who were not. These findings have significant methodological implications, as they require independent interviewing among member farmer groups. This study suggests that developers of mobile applications for livestock digital marketing should consider the lack of digital literacy among farmers as a crucial factor influencing their interest in adopting new technologies. Addressing the digital literacy gap could increase the adoption and effective use of these applications within the farming community.

Effect of Pre-Harvest Losses on Profitability of Plantain Production in Bayelsa State, Nigeria

The study examined the effect of pre-harvest losses on profitability of plantain farmers in Bayelsa State, Nigeria. The specific objectives were to: describe the socio economic characteristics of plantain farmers, examine pre-harvest losses of plantain on profitability and determine factors that influence pre-harvest losses of plantain. A multi-stage sampling technique was used to select five (5) local government areas (Yenagoa, Ogbia, Kolokuma-Opokuma, Sagbama and Southern Ijaw) purposively based on their predominance in commercial plantain farmers and six (6) communities each from the 5 LGAs respectively, and, furthermore, eight (8) plantain farmers in each community, making a total number of two hundred and forty (240) plantain farmers. Structured questionnaire was used to elicit the required information from the selected respondents. The result indicates that 55.1% of the respondents fall between the age range of 31-50 years, with the mean age of 44 years. Males (51.9%) dominated plantain production in the study area. The majority of the plantain farmers were married (60.0%), 95.5% had formal education, 60.0% had 1-15 years of farm experience, 77.9% were part-time farmers, 98.3% had family size of 1-10 persons in their households with a mean of 5 persons, and 56.7% had farm size of 2-4 hectares. The result further shows that 56.7% used hired labour while 86.7% had no month contact with extension agent. Sucker, fertilizer, household size, and educational level had a significant relationship with plantain production at various probability levels, indicating profitability. Based on the findings, it was therefore recommended that there is a need for the farmers to put up parameter fencing to prevent theft cases which is extremely high and adversely affects net farm income. However, government and non-governmental organizations can support in terms of granting farmers' soft loans in order to reduce the burden.

Assessment of smallholder rice farmers' adaptation strategies to climate change in Kebbi state, Nigeria

The future of food production in Nigeria where smallholding agriculture is prevalent is threatened by climate change. Despite the threats, Nigeria has no specific plan or policy to combat it. Therefore, understanding how smallholder farmers adjust to the changing climate and the factors that influence their adaptation choices will facilitate developing a policy to tackle climate change. This study therefore evaluates climate change adaptation techniques among smallholder rice farmers in Kebbi state, Nigeria. The study employs a simple random sampling technique to select 345 respondents. The data was analysed using multivariate probit and ordered probit regression.The findings revealed that marital status, literacy, farm size, farming experience, major occupation, extension visits, amount of credit, and access to climate information influenced adaptation strategy choice. Furthermore, marital status, literacy, household size, farm size, extension visits, and access to climate information are crucial drivers of adoption intensity. This study concludes that smallholder rice farmers in the study area adopt several practices to cope with climate change, however, farmers’ intensity of adoption is low. This study recommends that stakeholders in the food systems in the study area should consider literacy, farm size, extension service, credits, and climate information in designing viable policies toward combating the vagaries of climate.

Estimation of technical efficiency of maize farmers in Wa East District in Ghana: translog stochastic frontier approach

ABSTRACT Efficiency analysis among maize farmers is crucial, especially when maize output continues to decline, even under improved technology. The aim of this study was to estimate the level of technical efficiency among maize farmers in Wa East District in Ghana and to assess the determinants of their technical efficiency. Data were collected from 273 household heads using the multistage sampling method. The study applied the stochastic translog production function to do the estimation and assessment. The results revealed a variation of 60.2%–89.5% efficiency levels among maize farmers. In addition, maize farmers achieved about 71.5% of the required technical competences. Factors contributing significantly were labour, land, age, farming experience, household size, hired labour and seed quality. The results showed an increasing returns-to-scale parameter being significantly different from unit. Recommendations are improvement in the capacity of farmers by agriculture extension service and accessibility of farmers to affordable production inputs in real time.

Family experience of urban agriculture and solid waste management in the municipality of Emiliano Zapata, Veracruz, Mexico

Family experience of urban agriculture and solid waste management in the municipality of Emiliano Zapata, Veracruz, Mexico

Self-selection out of formal credit markets: evidence from rural Vietnam

PurposeThis paper examines why farmers self-select out of formal credit markets even though they need external funds.Design/methodology/approachWe use probit and Bayesian probit estimators to detect the determinants of self-selection behavior based on a primary dataset of 2,212 rice farmers in Vietnam. After that, we use the multinomial probit (MNP) and Bayesian MNP estimators to reveal the impact of relevant factors on the decision to self-select for farmers belonging to each self-selection category.FindingsThe probit and Bayesian probit estimators show that the decision to self-select depends on household head age, income per capita, farm size, whether or not to have relatives or friends working for banks, the number of previous borrowings, risks related to natural disasters, diseases, and rice price, and the number of banks with which the farmer has relationships. The MNP and Bayesian MNP estimators give further insights into the decision of farmers to self-select in that determinants of the self-selection behavior depend on the reasons to self-select. In concrete, farm size and the number of previous borrowings mitigate the self-selection of farmers who did not apply for loans due to having access to other preferred sources of credit. The self-selection of farmers not applying for loans because of unfavorable loan terms is conditional on household head age, farming experience, income, farm size, the number of previous borrowings, natural disaster risk, and the number of banks the farmer has relationships with. Several factors, including education, income, the distance to the nearest bank, whether or not having relatives or friends working for banks, the number of previous borrowings, risks, and the number of banks the farmer has relationships with, affect the self-selection of farmers not applying for loans because of high borrowing costs. The self-selection of farmers not applying for loans because of complex application procedures depends on income and the number of previous borrowings. Finally, the household head’s age, gender, experience, income, farm size, the amount of trade credit granted, the number of previous borrowings, natural disaster risk, and the number of banks the farmer has relationships with are the determinants of the self-selection of farmers not applying for loans because of a fear not being able to repay.Practical implicationsThis paper fills the knowledge gap by investigating why farmers self-select out of formal credit markets. It provides evidence of how the farmers’ subjective perceptions of rural credit markets contribute to their self-selection.Originality/valueThis paper shows that demand-side constraints are also vital for farmers’ access to bank credit. Improving credit access via easing supply-side constraints may not increase credit uptake without addressing demand-side factors. Given that finding, it recommends policies to improve access to bank credit for farmers regarding the demand side.

Motivations for women’s participation in urban agriculture: a multivariate probit model analysis

ABSTRACT Urban agriculture (UA) empowers women by providing economic opportunities, control over food, social connections, new skills, and improved health. Despite its importance, Ethiopian women's participation in UA remains low. This study aimed to examine the factors that influencing women's motivation to participate in UA in Hossana town, Ethiopia. We analysed survey data from 272 women participating in UA using a multivariate probit model. We identified four primary motivational dimensions: food security, economic reasons, social connection, and general well-being. The results revealed that combination of food security and economic motivations were the main drivers for women to participate in UA. The multivariate probit model results showed that age, education level, marital status, family size, employment status, non-urban farm income, farm experience, garden size, access to credit and markets, and the use of improved inputs all significantly influence the likelihood of women’s motivations to participate in UA. These findings provide valuable insights into the motivating factors driving women’s participation in UA and suggest the potential bundling of motivations. They lay the groundwork for more effective policies and programmes to support women's participation in this crucial sector of UA.

Rainforest Alliance-UTZ cocoa certification scheme adoption: Determinants and financial implications for cocoa production in the Centre region of Cameroon

This study evaluates the level of adoption of the Rainforest Alliance-UTZ cocoa certification scheme in the Centre region of Cameroon, ascertains the drivers of adoption, and evaluates the financial implications of the levels of adoption. Using cross-sectional data obtained from 100 cocoa growers in the Central region of Cameroon and employing a Generalised Ordered Logit estimation technique alongside a one-way ANOVA test and Tukey’s test for post-hoc estimations, we show that 50%, 17%, and 33% of cocoa growers are complete adopters, partial adopters, and non-adopters of the Rainforest Alliance-UTZ cocoa certification scheme, respectively. The findings also reveal that the likelihood of having partial or complete adoption is higher among farmers who have introduced orange trees in their orchards, own more extensive orchards, and have more years of experience in cocoa farming. Furthermore, the likelihood of having complete adoption is higher for farmers with a lower planting density in their orchards and a tertiary level of schooling. Farmer’s age has a mitigated effect on the likelihood of adopting certification schemes by reducing the likelihood of having partial or complete adoption against non-adoption and at the same time raising the likelihood of complete adoption against no or partial adoption. The study also concludes that the financial performance of cocoa growers varies based on their level of adoption of the Rainforest Alliance-UTZ certification scheme. Farmers who have achieved certification status tend to have higher farm earnings. Based on these findings, non-adopters and partial adopters are encouraged to fully adhere to the Rainforest Alliance-UTZ certification standards. By doing so, they can increase their financial gains, enhance their livelihoods, and reduce the negative environmental impacts of cocoa farming.

Associations of Socio-Demographic Characteristics of Dairy Goat Farmers in Greece with Biosecurity-Related Practices in the Farms.

Given the significance of goat farming in Greece, our study aimed to explore biosecurity conditions on goat farms and refers to an investigation performed on 119 farms countrywide in Greece. The objective of the present work was to evaluate and report on potential associations between the socio-demographic characteristics of goat farmers and practices that play a role in biosecurity on farms. Data were obtained during a large cross-sectional study performed across Greece in 119 goat herds. The socio-demographic characteristics of farmers, as well as 16 variables related to biosecurity, were recorded; these were practices or events that could potentially enhance or compromise biosecurity on farms. A score based on all the biosecurity-related variables was devised by assigning a '1' or '-1' mark for each variable recorded on a farm that could enhance or compromise, respectively, biosecurity. Among variables potentially enhancing biosecurity on farms, the application of disinfections on the farm and the maintenance of isolation for sick animals were practiced more frequently; among variables potentially compromising biosecurity on farms, the presence of hunters in the area around the farm and grazing practices for animals were recorded more frequently. The median overall score for biosecurity-related practices for all farms in the study was 1 (interquartile range: 2.5; minimum: -4; maximum: 5). Among socio-demographic characteristics, the presence of working staff on a farm was associated with five individual biosecurity-related practices and the length of farming experience with three individual biosecurity-related practices. In the multivariable analysis, female farmers (p = 0.007) and the presence of working staff on the farm (p = 0.025) emerged as the two significant socio-demographic characteristics with an association with the overall biosecurity level on farms. This knowledge can be useful when developing biosecurity programs on goat farms. Recognition of locally applied farm-level practices enhancing biosecurity could form a basis for farmers to apply more rigorous and effective relevant plans.