Proportion Of Farmers Research Articles

Extreme weather events and farmer adaptation in Zeeland, the Netherlands: A European climate change case study from the Rhine delta

Global climate change is manifest by local-scale changes in precipitation and temperature patterns, including the frequency of extreme weather events (EWEs). EWEs are associated with a myriad range of adverse environmental and societal consequences, including negative impacts to agriculture and food production. This study focuses on EWEs and their effect on adaptation strategies by potato and onion farmers in Zeeland, a Dutch coastal province in the Rhine delta that can serve as a model for other intensive agricultural landscapes in industrialized nations impacted by extreme weather events. The research approach combines quantitative trend analysis of long-term climatic data (temperature, precipitation) with a formal survey of Zeelandic farmers to statistically test four specific hypotheses regarding the frequency of EWEs in the Netherlands and farmer awareness and adaptation.Trend analyses reveal a strong (statistically significant) increase in extreme heat, a small increase in extreme rainfall and drought, and a strong decrease in frost occurrence. Survey results indicate Zeelandic farmers perceive high risk and awareness of changes to the frequency of EWEs. Many farmers have experienced financial losses from EWEs, particularly between 2017 and 2020. For extreme heat, droughts, and frost, the proportion of farmers that incurred financial damages annually is statistically correlated to the actual occurrence of EWEs. Farmers who incurred more financial losses between 2000 and 2020 due to heat and lack of frost had a higher risk perception of these extremes. Further, almost all farmers have already implemented one or more adaptation strategies. A third of surveyed farmers reduced or stopped with potato and onion cultivation in response to climate change and EWEs. Awareness, exposure to, and risk perception of EWEs contribute to adaptation support by farmers. The high perceived risk of climate change and EWEs among respondents and the high incidence of financial losses from extremes in the past two decades highlights the importance of adaptation in the agricultural sector, including in temperate regions where growing seasons are expanding. Study results support the current ‘Rural Development Program’ and future ‘National Strategic Plan’ policies in the Netherlands, both part of the European Union's Common Agricultural Policy (CAP), that provides accessibility to adaptation measures for farmers to avoid financial loss.

Big data-based risk assessment of poultry farms during the 2020/2021 highly pathogenic avian influenza epidemic in Korea.

Outbreaks of H5-type highly pathogenic avian influenza (HPAI) in poultry have been reported in various parts of the world. To respond to these continuous threats, numerous surveillance programs have been applied to poultry raising facilities as well as wild birds. In Korea, a surveillance program was developed aimed at providing a preemptive response to possible outbreaks at poultry farms. The purpose of this study is to comprehensively present the risks of HPAI evaluated by this program in relation to actual outbreak farms during the epidemic of 2020/2021. A deep learning-based risk assessment program was trained based on the pattern of livestock vehicles visiting poultry farms and HPAI outbreaks to calculate the risk of HPAI for farms linked by the movement of livestock vehicles (such farms are termed “epidemiologically linked farms”). A total of 7,984 risk assessments were conducted, and the results were categorized into four groups. The proportion of the highest risk level was greater in duck farms (13.6%) than in chicken farms (8.8%). Among the duck farms, the proportion of the highest risk level was much greater in farms where breeder ducks were raised (accounting for 26.4% of the risk) than in farms where ducks were raised to obtain meat (12.8% of the risk). A higher risk level was also found in cases where the species of the outbreak farm and epidemiologically linked farms were the same (proportion of the highest risk level = 13.2%) compared to that when the species between the two farms were different (7.9%). The overall proportion of farms with HPAI outbreaks among epidemiologically linked farms (attack rate, AR) was 1.7% as HPAI was confirmed on 67 of the 3,883 epidemiologically linked farms. The AR was highest for breeder ducks (15.3%) among duck farms and laying hens (4.8%) among chicken farms. The AR of the pairs where livestock vehicles entered the inner farm area was 1.3 times (95% confidence interval: 1.4–2.9) higher than that of all pairs. With the risk information provided, customized preventive measures can be implemented for each epidemiologically linked farm. The use of this risk assessment program would be a good example of information-based surveillance and support decision-making for controlling animal diseases.

Serotyping and Seroprevalence of Mannheimia haemolytica, Pasteurella multocida, and Bibersteinia trehalosi and Assessment of Determinants of Ovine Pasteurellosis in West Amhara Sub-region, Ethiopia

A cross-sectional study was undertaken in four (4) districts of the West Amhara sub-region of Ethiopia with the aim of assessing the diversity and distribution of serotypes of Pasteurella species, their seroprevalence, and associated risk factors, and knowledge, attitude, and practice of farmers toward ovine pasteurellosis. A total of 600 sheep sera were collected using multistage cluster sampling. Each sample was examined for the presence of six (6) serotype-specific antibodies using an indirect haemagglutination test. We are reporting a higher seroprevalence of 90.17% (541/600) in which all seropositive animals were shown to have been co-infected with multiple serotypes. Individual serotype prevalence showed that serotype A7 has the highest prevalence of 77.83% followed by A2 (74.33%), T15 (64%), T4 (62%), PA (60%), and A1 (39.17%). In this study, being female [odds ratio (OR): 2.45, 95% CI (1.09–5.52), p = 0.031] and living in high altitude areas [OR: 20.29, 95% CI (2.54–161.95), p = 0.004] were found to be significantly associated with sero-positivity. A questionnaire survey (n = 384) employed in a face-to-face interview was used to assess the knowledge, attitude, and practice of farmers related to ovine pasteurellosis. Accordingly, the majority (72.4%) of respondents had an inadequate knowledge level of the disease. The proportion of farmers with a favorable attitude and good practices toward the disease was 50.26 and 77.6%, respectively. This study is highly indicative that ovine pasteurellosis is a ubiquitous disease in the study area challenging the sheep production sector. The existence of diverse serotypes reported to lack cross-protective immunity is likely to explain why the current vaccination practice with the mono-serotype Pasteurella multocida biotype A vaccine is not providing adequate protection against outbreaks of the disease. Prioritization of one or more serotypes for inclusion in a multivalent vaccine should be dictated by the abundance and distribution of a particular serotype, its clinical importance, and its resultant economic impact. Furthermore, training farmers on key aspects of the disease is vital in the implementation of effective disease management strategies through a participatory approach. Data from the remaining regions of the country could help realize the development of an effective vaccine that works best at the national level.

Income And Welfare Analysis of Rubber Farmers of Sarolangun Regency Jambi - Indonesia

This study aims to analyze the income and welfare of rubber farmers. The research was conducted in the rubber production center of Sarolangun Regency with pauh subdistrict research locus, with sample villages of Karang Mendapo Village, Pauh Village and Semaran Village. The data usedn is primary data obtained by interview method using questionnaires. Sample withdrawal using Simple Random Sampling Metohd. The technique of determining the sample size uses the Slovinmethod. The sample size is 57 farmers. The research period is July - August 2021. Data analysis uses descriptive analysis, contingency tables and chi-square tests (x^₂). The results showed that most farmers have below average incomes. The main source of income for farmers comes from rubber farming. Rubber farmers' income groups are in the low to moderate category. The proportion of farmers' consumption expenditure is greater on food consumption (rice, side dishes), the proportion for non-food consumption is mostly for clothing. The welfare of farmers is in the low category. Differences in farmers' incomes cause significant differences in farmers' well-being. The degree of contingency of income on the welfare of farmers is in the moderate category. While the degree of income relationship of farmers with the welfare of farmers is positive and significant.

How can we compare multispecies livestock rearing households? \u2013 an analysis of the impact of health and production parameters on multispecies livestock rearing outcomes

BackgroundThe Central Dry Zone (CDZ) of Myanmar is a critical region of livestock production. This region supports 10 million people whose livelihoods depend on small-scale, dry-land agriculture, but it is also one of the poorest regions of Myanmar. Little is known about the constraints to animal health in multi-species livestock farms in this region or the relationships between husbandry practices and measures of the success of livestock rearing such as income, and successful health management.ResultsIn this study, we describe associations between husbandry practices and animal health problems affecting different body systems. We also develop a biosecurity and livestock disease prevention index by taking account of different activities (i.e. treatment, vaccination, reducing disease transmission practice, sanitation) that can be compared between livestock species, estimate the income generated from livestock production, and identify factors influencing these parameters. Cross-sectional study was used to collect data on livestock production and health from cattle (N = 382), sheep, goat (N = 303) and village chicken (N = 327) farmers in 40 villages of the CDZ. Survey-design based techniques and F-statistics, ordinal, and binomial regression were used for data analysis. Our results indicate that a significant proportion of farmers’ income in the CDZ comes from crop production (43.2%) and livestock production (23.1%) and the rest of the farmers’ income is derived from trading, supported by other relatives and employment. Our results indicate that animal health management practices, herd/flock size, and experience of farmers contributed significantly to the presence of animal health problems, in particular related to the physical, respiratory and digestive systems. Animal health management was usually conducted in traditional ways. Among different livestock species farms, cattle farms (cattle median BDPI: 45; IQR: 35–55) practised better biosecurity than other livestock species farms (i.e. small ruminant and village chicken farms) (small ruminant and village chicken BDPI: 10; IQR: 0–20). Interestingly, the ownership groups (i.e. rearing singly or multispecies) did not show any impact on biosecurity and disease prevention index of the farms.ConclusionsThis study identified good practice households and these findings will be useful for designing intervention trials to improve the production and health outcomes evaluated in this study.

Analysis Food Security of Rice Farmers Through Efforts Optimization of Swamp Land in East Lampung Regency

The purpose of this study was to analyze the perception of lowland rice farmers on optimizing the use of swamp land into rice fields, analyzing rice farming income after optimizing the use of swamp land into rice fields in an effort to support food security, analyzing consumption expenditures and household food security of rice farmers. The research location is in Braja Selebah District in East Lampung Regency. This is because Braja Selebah Sub-district is one of the sub-districts that implements optimization of land use (swamp land into rice fields) with the Serasi Program (Congratulations for the Prosperity of Rawa for Farmers). The number of respondents in this study were 30 people based on simple random sampling technique. The data analysis method used to determine the perception of lowland rice farmers on the optimization of the use of swamp land into rice fields in this study was all data obtained were tabulated, then analyzed both quantitatively and qualitatively. The income analysis carried out in this study is to calculate the income of rice farmers who follow the Serasi program and to measure the level of food security of farmer households using the Food Expenditure Share (PPP) approach. The results of this study are that On average, 63.3% of farmers know about rice cultivation in swamps and the attitude of farmers to rice cultivation in swamps. 60% of respondent farmers feel very happy. Proportion of farmers’ food expenditure is equal to 60%. The ratio of revenue to total costs is greater than 1.00, meaning that rice farming in the Lebak swamp carried out by respondent farmers is economically profitable.

Epidemiological and Clinical Characteristics of Severe Fever with Thrombocytopenia Syndrome in Southern Anhui Province, China, 2011-2020.

Severe fever with thrombocytopenia syndrome (SFTS) is an emerging hemorrhagic fever, and the causative pathogen, the SFTS virus (SFTSV), was first discovered in China in 2010. In this study, a retrospective analysis of 86 patients that were diagnosed with SFTS from two 5-year periods (2011-2015 and 2016-2020) was performed to explore the changes in epidemiology, clinical characteristics, laboratory parameters, and prognosis between both periods. The results showed that there were significant differences in age, the proportion of farmers, geographical distribution, the incidence of multiple organ dysfunction, the decrease in thrombocyte count, and the elevations of serum AST and lipase levels between the two groups (P < 0.05). Additionally, the case-fatality rate in the 2016-2020 group (16.7%) was higher than that in the 2011-2015 group (6.25%), although the difference was not significant. Our study shows that SFTS is broadly distributed across Anhui Province and the mortality rate is high. May to July was the peak of the epidemic, and farmers constituted a high-risk group. In recent years, thrombocytopenia has become more serious, and multiple organ dysfunction is more common. Clinicians need to strengthen their knowledge of the changing epidemiological and clinical characteristics of this disease.

TRANSACTION COST AND PERFORMANCE EVALUATION OF ECOLOGICAL RESTORATION PROJECTS IN CHINA: CASE STUDY OF CHICHENG COUNTY, HEBEI PROVINCE

Since the beginning of the 21th century, China has implemented a large-scale ecological restoration policy. Evaluating the performance of this policy after implementation is an important topic. In this paper, transaction cost analysis is introduced into the performance evaluation of ecological restoration projects. The transaction costs are divided into five parts, including costs related to search, contracting, construction and operating, monitoring the cost of default, and seeking compensation. The model used for calculating transaction costs is provided. The concept and composition index of structure and performance indices are analyzed. The calculation model of the structure and performance indices is developed as the weighted sum of three indicators: endogenous transaction costs as a part of transaction costs, the proportion of farmers’ input in production costs, and the proportion of transaction costs in total costs. Chicheng County, Hebei Province, China was studied as an example. The transaction costs of three categories of projects that have been implemented were calculated, including Returning Farmland to Forest, Small Watershed Management, and Grazing Prohibition, and the average performance of the projects and the change of performance during project execution were analyzed. Transaction cost and performance calculation will provide a new perspective for the comparison and performance evaluation of different ecological restoration projects, which is of great significance.

Severe Fever With Thrombocytopenia Syndrome in Southeastern China, 2011-2019.

IntroductionSevere fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease, and the number of cases has increased in recent years in Zhejiang Province, China. However, whether the seasonal distribution, geographic distribution, and demographic characteristics of SFTS have changed with the increase of incidence was unclear.Materials and MethodsData on SFTS cases in Zhejiang Province and tick density in Daishan County from 2011 to 2019 were collected. The changing epidemiological characteristics of SFTS including seasonal distribution, geographical distribution, and demographic features were analyzed using descriptive statistical methods, Global Moran's I, local Getis-Ord Gi* statistic, and spatial scan statistic.ResultsA total of 463 SFTS cases including 53 (11.45%) deaths were reported from 2011 to 2019 in Zhejiang Province, and the annual number of cases showed increasing tendency. SFTS cases were reported in almost half of the counties (40/89) of Zhejiang Province. Elderly farmers accounted for most cases and the proportion of farmers has increased. Most cases (81.21%) occurred during April and August. The interval from illness onset to confirmation was significantly shortened (Z = 5.194, p < 0.001). The majority of cases were reported in Zhoushan City from 2011 to 2016, but most cases were reported in Taizhou City since 2017.DiscussionWe observed dynamic changes in the seasonal distribution, geographical distribution, and demographic features of SFTS, and comprehensive intervention measures, such as clearance of breeding sites, killing of tick adults, and health education should be strengthened in farmers of the key areas according to the changed epidemiological characteristics.

Economic situation of Hungarian crop production enterprises, especially in Hajdú-Bihar county

Increasing the competitiveness of Hungarian crop production plays a key role in moving forward at the international level. However, improving efficiency and profitability is essential in this regard. The natural resources in Hungary provide an excellent opportunity for crop production. About 8% of the arable land in Hungary (a total of 4.3 million hectares) belongs to farmers in Hajdú-Bihar County. This research is based on secondary data that can be found in the HCSO and EMIS databases. HCSO data was used for the comparison of national and county data characterising crop production, while the EMIS database was used to process the financial data of enterprises dealing with field crop production. The Hungarian sample size is 853, of which 69 enterprises are from Hajdú-Bihar County. The aim of this study is to assess the profitability, assets and financial situation of arable crop production enterprises operating in Hajdú-Bihar County as a function of national average data. Based on the examined profitability indicators (operating ROS and ROA), it was established that the enterprises in Hajdú-Bihar County are profitable, even in a national context. In terms of operating ROS, the farms in the examined county were able to achieve a 3.6 percentage point higher value due to their more efficient cost management, despite having a similar level of technology compared to businesses spanning across the entire country. The proportion of farms with the lowest leverage ratio (&lt;20%) is 16 percentage points higher at the county level than at the national level. In addition, almost 70% of the enterprises operating in Hajdú-Bihar County have excellent liquidity. This rate is 50% at the national level.

Impact of Value Perception on Farmers’ Willingness to Participate in Farmland Fallow: A Case-Study in Major Grain-Producing Areas of Hubei and Hunan, China

The major grain-producing areas will be the key areas of future China fallow. It is important to explore the influence of farmers’ value perceptions on their fallow willingness in these areas. We analyzed this impact of value perception by using an ordered PROBIT model and survey data from the major grain-producing areas of Hubei and Hunan, China. The conclusions of this study are as follows: (1) A considerable proportion of farmers are willing to participate in farmland fallow, while a considerable proportion of farmers are neutral; (2) farmers’ value perceptions of farmland fallow have a significant positive impact on their fallow willingness; (3) farmers’ ages and education levels have a positive impact on farmers’ willingness to directly participate in farmland fallow, while per capita farmland area has a negative impact; (4) the key factors for successful fallow are solving the problem of non-agricultural employment of farmers and appropriately formulating fallow mode, scale, and subsidy standards. This study proposes that the government can develop farmers’ good value perceptions of fallow through appropriate subsidies and adequate publicity to strengthen their fallow consciousness.

Математические отражающие ретрансляции восстановительных процессов в животноводческой отрасли крестьянского двора на Европейском Севере России в начале 1920-х гг.

This article is an attempt at an interdisciplinary study of the livestock sector of the peasant household in the European North of Russia, supported by its reliable statistical markers of ongoing processes. Arrays of digital data with valid goals and objectives of the study with a retrospective depth were subjected to statistical processing using correlation analysis. The cross-sectional analysis covered data on a variety of studied factors (the number of farm animals in households ranked by species composition of livestock, age groups and the number of heads, crop areas ranked by their size, the proportion of farms with or without their own hired workers, the presence of fishing activities, volumes of field and sown areas, as well as the numerical expression of comparable indicators in intersectoral relationships, including: per farm, per 100 capita, per horse, horses and cows per farm, etc.). The factors that influenced the organizational foundations of the leading branches of peasant production are analyzed. The question is raised about the nature of changes in the number and sex and age structure of the herd of the peasant economy during the years of the New Economic Policy. Particular attention is paid to the issues of the qualitative state of the livestock and changes in the repair base of livestock breeding. The dependence of the livestock of a peasant household on the size of the crop, the availability of workers and meadow areas has been revealed. At the same time, it is noted that the completion of the restoration processes in animal husbandry did not lead to qualitative changes in the economic structure of the northern village, the basis of which was a small parcel closed within the framework of subsistence production. The patterns identified by the authors can serve as an incentive for a further study of applied sectors of the naСаблин tional economy in the European North of Russia (development of the processing industry, trade, fodder production, transport networks, light industry, animal science, veterinary medicine, etc.).

Degree of Abandoned Cropland and Socioeconomic Impact Factors in China: Multi-Level Analysis Model Based on the Farmer and District/County Levels

At present, abandoned cropland has become a common phenomenon spreading to countries around the world. China has seen widespread abandoned cropland in recent years. However, there are extremely few empirical studies of cropland abandonment and influencing factors nationwide. In this study, survey data from 8071 farmer households in 14 Chinese provinces were used to analyze the degree of cropland abandonment in China and its spatial distribution. A multi-level model was constructed to quantitatively explore the socioeconomic factors affecting the degree of cropland abandonment, at both the farmer and district/county levels. The results show that: (1) the proportion of farmers and the spatial distribution of abandoned cropland are consistent. (2) Chongqing City, Guangdong Province, and Shanxi Province are high-value areas of abandoned cropland, while Shandong, Liaoning, Henan and Jiangsu provinces are low-value areas. (3) Among the differences in cropland abandonment, 68.5% and 31.5% can be explained at the farmer and district/county level, respectively. (4) At the farmer level, all labor and cropland transfer indicators, including land labor quantity per unit area, male agricultural labor ratio, farmers mainly of middle-aged labor, cropland transfer area and cropland subcontract amount, have significant negative effects on the degree of abandoned cropland. There is a significant negative correlation between the value of agricultural operating fixed assets in the agricultural input indicators and the degree of abandoned cropland, but participation in professional, cooperative, economic, agricultural organizations has no significant impact on the degree of abandoned cropland. The per capita disposable income, which represents the quality of life indicator, has a significant positive impact on the degree of abandoned cropland. (5) At the district/county level, the proportion of the total co-working labor force and the transfer rate of cropland are negatively related to the degree of cropland abandonment, and the proportion of the co-working labor force outside the district/county is positively related to the degree of cropland abandonment. In addition, we briefly analyzed the mechanism and process of cropland abandonment from the perspective of farmers’ decision-making. Finally, the policy suggestions to alleviate the abandonment of cropland were put forward from the district/county and farmer level, respectively.

Drivers of Predator Killing by Rural Residents and Recommendations for Fostering Coexistence in Agricultural Landscapes

Predators inhabiting human-dominated landscapes are vulnerable to various anthropogenic actions, including people killing them. We assess potential drivers of predator killing in an agricultural landscape in southern Chile, and discuss the implications for policies and interventions to promote coexistence. We evaluate five different types of motivation: (i) sociodemographics and household economy; (ii) livestock loss; (iii) predator encounter rates; (iv) knowledge of legal protection (all native predators are currently protected); and, (v) tolerance to livestock predation. As the killing of native predators is illegal, the prevalence of this behavior by rural residents was estimated using a symmetrical forced-response randomized response technique (RRT), a method designed to ask sensitive questions. A total of 233 rural residents from randomly assigned sample units (4 km2) across the study region completed our questionnaire. More conspicuous species, such as hawks (Falconiformes sp), foxes (Lycalopex sp) and free-roaming domestic dogs (Canis lupus familiaris), were killed by a higher proportion of farmers than more cryptic species, like the felid güiña (Leopardus guigna), skunk (Conepatus chinga) and pumas (Puma concolor). The proportion of respondents admitting to killing predators was highest for hawks (mean = 0.46, SE = 0.08), foxes (mean = 0.29, SE = 0.08) and dogs (mean = 0.30, SE = 0.08) and lowest for güiña (mean = 0.10, SE = 0.09), which is the only species of conservation concern we examine (considered Vulnerable on the IUCN Red List). From our five motivation categories, past killing of predators was associated with higher reported predator encounter rates (guina, hawks), lower tolerance to livestock predation (hawks, dogs), higher reported livestock loss (dogs) and sociodemographics and household economy (foxes). Our results demonstrate that a one-size-fits-all approach to predator persecution is unlikely to reduce or eliminate illegal killings for the suite of species we examined. We identify and describe two main types of intervention that could foster coexistence, improvement of livestock management and domestic dog management in rural areas, as well as discussing the potential for social marketing.

Longitudinal Analysis of Influenza A(H5) Sero-Surveillance in Myanmar Ducks, 2006-2019.

Between 2006 and 2019, serological surveys in unvaccinated domestic ducks reared outdoors in Myanmar were performed, using a haemagglutination inhibition (HI) test, to confirm H5 avian influenza virus circulation and assess temporal and spatial distribution. Positive test results occurred every year that samples were collected. The annual proportion of positive farms ranged from 7.1% to 77.2%. The results revealed silent/sub-clinical influenza A (H5) virus circulation, even in years and States/Regions with no highly pathogenic avian influenza (HPAI) outbreaks reported. Further analysis of the 2018/19 results revealed considerable differences in seroconversion rates between four targeted States/Regions and between years, and showed seroconversion before and during the sampling period. By the end of the trial, a high proportion of farms were seronegative, leaving birds vulnerable to infection when sold. Positive results likely indicate infection with Gs/GD/96-lineage H5Nx HPAI viruses rather than other H5 subtype low-pathogenicity avian influenza viruses. The findings suggested persistent, but intermittent, circulation of Gs/GD/96-lineage H5Nx HPAI viruses in domestic ducks, despite the veterinary services’ outbreak detection and control efforts. The role of wild birds in transmission remains unclear but there is potential for spill-over in both directions. The findings of this study assist the national authorities in the design of appropriate, holistic avian influenza control programs.

Analysis of environmental dust in goat and sheep farms to assess Coxiella burnetii infection in a Q fever endemic area: Geographical distribution, relationship with human cases and genotypes.

Real-time PCR analysis of environmental samples (dust and aerosols) is an easy tool to investigate the presence of Coxiella burnetii in the farm environment. The aim of this study was to assess the distribution of C.burnetii DNA in dust collected inside animal premises from 272 small ruminant farms in Bizkaia (northern Spain), a region with recent reports of human Q fever cases and outbreaks. Within each farm, 5 samples of dust were collected from difference surfaces, and data on animal census, management procedures, characteristics of the premises and geographic location were collected. Real-time PCR analysis of the dust samples detected presence of C.burnetii DNA in 98 farms (36.0%), flock-prevalence being higher in sheep (38.9%) or mixed ovine-caprine production systems (36.8%), compared to goats (25.0%). Larger bacterial burdens were observed in mixed farms, compared to sheep (p<.05). Single nucleotide polymorphism (SNP) analysis identified 5 different genotypes, with SNP8 being the predominant genotype (73%), followed by SNP6 (11%), SNP2 (9%), SNP4 (5%) and SNP1 (2%). Proportion of farms where C.burnetii DNA was detected differed among the different agricultural counties, and a higher proportion of C.burnetii DNA positive farms was associated with the occurrence of recent human Q fever outbreaks at several geographical locations. Dust sampling in domestic ruminant farms coupled with real-time PCR to screen for the presence of C.burnetii and estimate bacterial load can be a useful tool to identify herds and regions with high prevalence, define priority actions and monitor the effect of control measures. If combined with molecular genotyping and spatial distribution maps, it can help to identify farm contamination sources and trace the origin of human outbreaks.

Vaccination practices for Leptospira spp. on New Zealand dairy farms

ABSTRACT Aims To describe leptospiral vaccination practices in dairy herds in New Zealand and evaluate conformity with best practice guidelines issued by the New Zealand Veterinary Association using data from a questionnaire administered by participating veterinary practices. Methods A cross-sectional study of 200 randomly selected dairy farms stratified by herd size and region throughout New Zealand was conducted from January to April 2016 to investigate leptospiral vaccination practices in dairy herds in New Zealand. Using a pre-tested questionnaire administered during a face-to-face interview, vaccination practice details such as vaccine types, time, and age of vaccination and whether vaccines were administered by veterinary or farm staff, were collected. Results Leptospiral vaccination programmes had been implemented on 199/200 (99.5 (95% CI = 97.2–99.9)%) farms, and on 178 (89.4%) of those, programmes had been running for ≥5 years. Most farmers used bivalent vaccines containing antigens for leptospiral serovars Pomona and Hardjo (144/179 (80.4%) in calves, 112/167 (60.7%) in heifers, and 112/163 (68.7%) in cows), rather than trivalent vaccines which also include antigens for L. interrogans serovar Copenhageni. In total, 123/200 (61.5%) of farmers purchased only vaccinated animals but 51/199 (25.6%) were unsure of the vaccination status of purchased cattle. Sixty-one percent (105/172) of farmers had other livestock on their farms and of them, 78/186 (42%) vaccinated some or all for Leptospira spp. Leptospiral vaccines were administered always or sometimes with other animal remedies on 30/190 (15.8%) and 91/190 (47.9%) of farms, respectively. Most farmers had not made changes to their vaccination programme in the previous 5 years. Timing of first vaccination of calves ranged from 2 weeks to 10 months of age, with 112/189 (59.3%) vaccinating by 4 months of age. Approximately half of the farms followed the best practice guideline for the timing of vaccinations for calves (high-risk farms; 67/162; 41.4%) heifers (72/165, 43.6%), and cows (171/184; 92.9%). Conclusions The results of this survey suggest that there is almost universal adoption of leptospiral vaccination for dairy cattle in New Zealand. However, there remain areas for improvement regarding the proportion of farmers following best practice guidelines and refinement of vaccination programmes, particularly with respect to timing of vaccination in calves.

Status and Factors Influencing Access of Extension and Advisory Services on Forage Production in Kenya

This study assessed the status and factors influencing access of extension and advisory services (EAS) for forage production among smallholder dairy farmers in Kenya. Using a multistage stratified random sampling, data were collected from 316 and 313 farmers in Kangundo sub-County and Kirinyaga Counties of Kenya, respectively. The intensity of dairy farming formed the basis of selection of the study areas. The data were analysed using descriptive statistics and binary logistic regression model. Results indicated that, overall the proportion of farmers who accessed EAS on forage production in Kirinyaga (26.4%) was double that of Kangundo (13.6%). Government was the main provider of EAS on forage production and accounted for between 73 to 90% of services in Kangundo and 54 to 81% in Kirinyaga. The main channels for accessing EAS in both sites were trainings (29 - 31%) and field days (22 - 30%). Overall, majority of farmers (71 - 73%) were satisfied with the information and services they received on forage production. The empirical estimates of logistic regression revealed that the probability of access to EAS increased with access to credit, membership to farmer groups and importance of livestock on household’s food security. We recommend that the governments use innovative extension approaches and strengthen formation of farmer groups/organizations in order to improve access of EAS by smallholder dairy farmers for enhanced forage production.

Design and Implementation of a Rural Social Security System Based on Deep Learning

After the reform and opening up, my country’s economic level and total national strength have achieved unprecedented growth. The building of a well‐off society in an all‐round way is moving towards a harmonious society. The development of social security is also an important part of the development and improvement of a socialist harmonious society. This article is aimed at designing a rural social security system based on deep learning algorithms, using sample collection and statistical analysis methods, collecting samples, simplifying the algorithm, and establishing a new rural social security system. The data collected by the system shows that the proportion of farmers who choose very satisfied, satisfied, average, dissatisfied, and very dissatisfied with the satisfaction of the new rural insurance is 8.94%, 45.53%, 34.96%, 8.13%, and 2.44%. It can be seen that the proportion of farmers who choose to be satisfied is the largest, and more than 10.0% of farmers choose to be dissatisfied or very dissatisfied. Investigate the factors that farmers worry about participating in the new rural insurance, and the questionnaire options can also be set to multiple choices. The survey results show that 29.27% of the farmers think that the individual payment for participating in the new rural insurance is higher; 26.02% of the farmers believe that they do not understand the new rural insurance system; 9.76% of the farmers believe that it is unnecessary to pay for the new rural insurance; 22.76% of farmers choose to rely on themselves or their children in the future; 27.64% of farmers think that the system is unstable. It has basically realized the design of a brand new rural social security system starting from the deep learning of semantic computing.

Key factors affecting the adoption willingness, behavior, and willingness-behavior consistency of farmers regarding photovoltaic agriculture in China

Agricultural fossil energy consumption increases carbon dioxide emissions and is a critical concern in China. Photovoltaic agriculture refers to combining agricultural activities and photovoltaic power generation without changing the agricultural land and affecting agricultural production. It is a new agricultural production approach and has been identified as an important measure to deal with environmental pollution and fossil energy consumption. The goal of this study was to analyze the key factors that influence the willingness, behavior, and willingness-behavior consistency of farmers to adopt photovoltaic agriculture. A survey with 643 participants was conducted in China. The bivariate probit model and the binary logistic regression were used to test nineteen influencing factors. The results showed that the proportion of farmers whose adoption willingness was consistent with the adoption behavior was 37.1%, whereas 62.9% of farmers exhibited inconsistency between adoption willingness and adoption behavior. Differences were observed in the key factors influencing the willingness, behavior, and willingness-behavior consistency of adopting photovoltaic agriculture. The usefulness perception and technical training had significant positive impacts on the adoption willingness, adoption behavior, and willingness-behavior consistency of the farmers, whereas the photovoltaic investment cost had a negative impact. The results of this study provide an understanding of the factors influencing the promotion and dissemination of photovoltaic agriculture, a basis for optimizing related policies, and references to facilitate the implementation of photovoltaic agriculture in rural areas in other countries.