Sample Of Farmers Research Articles

Pricing of Groundwater and Constraints of Farmers in Groundwater Marketing in North Eastern Karnataka

The present study was conducted in North Eastern dry Zone of Karnataka which falls under semi arid tropic region. The study is based on primary data obtained from 45 water sellers and 45 water buyer farmers through snow ball sampling techniques. The data collected were analysed by using descriptive statistics and Garret ranking method. The cost of irrigation was calculated by employing amortization technique. The findings revealed that there were mainly two methods of transactions that could be seen in the groundwater markets in the study area viz., cash payment and crop share/ kind method. It is also found that relationship between water sellers and water buyers among the sample farmers in the study area. The percentage of neighbourers in the total transaction of groundwater marketing was 55.23 and relatives constituted 26.66 per cent, and the percentage of friends was 21.11. The water price or rents varied with type crops grown by water buyers (₹7848.06, ₹2240, ₹1950 and ₹2350 for paddy, groundnut, pigeon pea and cotton, respectively.) per acre in the study area. High water charges, lack of money to pay for water rent, unable to get water timely, etc were the major constraints of water buyer farmers and difficulty in fixing the price or rent for groundwater, delaying in payment of groundwater by water buyers, irregular power supply in rural area were the major constraints faced by water seller farmers in the study area. Therefore, Government and Agricultural extension institutions should educate the farmers about the pros and cons of over exploitation of groundwater not only for present generation and but also on future generation.

Molecular Characteristics Demonstrate the Occurrence of Phylogenetic Similar Isolates of <i>Vibrio alginolyticus</i> and <i>Vibrio parahaemolyticus</i> in Aquatic Environments

Vibrio alginolyticus is an opportunistic fish pathogen with a potential to cause septicemia and often associated with other Vibrio infections, particularly Vibrio parahaemolyticus, and can pose a significant threat to aquatic health. This study investigated the biochemical and phylogenetic characteristics of V. alginolyticus isolated from various aquaculture farms, focusing on its prevalence, hemolysin genes, genetic relatedness, and antibiotic susceptibility. Out of 92 brackish water aquaculture farm samples, 16 isolates were biochemically confirmed as V. alginolyticus, with 12 subsequently confirmed by polymerase chain reaction targeting collagenase gene. Molecular analysis of the thermolabile hemolysin gene (tlh) via specific PCR amplified a 450 bp fragment in 8 isolates, confirming the presence of the tlh gene. Pulsed Field Gel Electrophoresis (PFGE) typing differentiated tlh-positive and tlh-negative V. alginolyticus isolates with 92% genetic similarity. The isolates exhibited proteolytic, lipolytic, and lecithinase activities. Notably, the isolates showed intermediate resistance to most of the tested antibiotics, indicating exposure to antimicrobial agents. This study provides evidence of the presence of similar phylogenetical isolates of V. alginolyticus and V. parahaemolyticus in aquatic environments. Furthermore, this study emphasizes the importance of expanding surveillance programs by incorporating strain-specific characterization to better understand and control vibriosis in aquaculture.

The Role of Agricultural Inputs on Crop Productivity: The Case of Zigam Woreda

In spite of the importance of agriculture in Ethiopia, it is characterized by low productivity and has been unable to produce sufficient quantities of output to feed the country’s population. In light of this various development strategies has been undertaken to improve the performance of agriculture. Intensification of agriculture through the use of new agricultural technologies has been emphasized over the last three decades. This study attempted to examine the contribution of agricultural input for crop productivity. The data for the study was collected from 91 sample farmers. This study was the study used both primary and secondary data. In this study researcher was used simple random sampling techniques. This research was use cross sectional approach and econometric method of data analysis to investigate the role of age, sex, land size, labor force, fertilizer, improved seed, extension service, and access to credit, education level and pesticides for crop production by collecting data from the household. In econometric method of data analysis researcher was used ordinary least square (OLS) Model. The econometric result show that land size, labor force, improved seed, fertilizer, credit service, extension service and education level have positive and significant effect on crop production. However, pesticide has a negative and significant impact on crop production. From the explanatory variables, education level has a higher coefficient. This indicates education level is more significant for crop production. According regression result <i>R</i><sup><i>2</i></sup> is 0.97, which implies 97% of output function is explained by the selected ten (10) explanatory variables. The policy implication is that to reduce farmers resistant to use farm inputs and to create knowledge about the optimal input use educate and training of farmers is necessary.

Metabolomic Fingerprints: Seasonal and Farm-Specific Differences in Heterotrigona itama Bee Bread

Stingless bees’ products such as honey and bee bread are beneficial to human health. However, the metabolite composition within the products may differ according to spatial and temporal factors. This study aims to investigate the impact of spatial and temporal factors on the significant metabolite composition present in Heterotrigona itama bee bread collected from different seasons and types of bee farms. Thus, tandem mass spectrometry (LCMS/MS) based metabolomics analysis was used to achieve the said goal, focusing on H. itama bee bread samples, followed by multivariate analysis using the MetaboAnalyst platform. Our findings revealed significant metabolites that set bee bread samples apart. In terms of temporal factors, the analysis highlights specific metabolites exclusive to the wet season, such as flavones and flavonoids. However, in contrast, during the wet season, there are no significant metabolites in herbal farm samples. The results also underscore the significance of phenolic compounds in wet season samples and as vital metabolites distinguishing the groups. This study highlights a total of 24 annotated significant metabolites identified in different bee bread samples, as well as their capacity to differentiate between seasons and bee farms. Notably, these results suggest a wide variety of potential plant families as a source of bee bread. These findings shed light on the impact of seasons and diverse plant families contributing to bee bread composition, which may impact the growing meliponiculture industry greatly.

Resource Use Efficiency and Constraints Faced by Potato Growers in Kannauj District of Uttar Pradesh, India

In the present paper, an attempt has been made to examine Potato cultivation in different categories of farmers in Kannauj district of Uttar Pradesh. Primary data was collect through personal interview by pre-structured and pre-tested schedule; the data was collect for the agricultural year 2022-23. A sample size of 100 farmers, marginal (61) Small (29) Medium (10) were interviewed form 5 village of Kannauj block in Kannauj district select the farmers by using the proportionate allocation method, with the data analysis, the result found that average holding size 0.84, 1.84 and 3.91 ha. in respect of marginal small and medium farm, respectively. In the case of potato, returns to scale of marginal, small and medium size group of farms were 0.8989, 0.8525 and 0.8280, respectively. Returns to scale in all three categories of the farms were found less than unity. It indicates the production of potato is characterized by decreasing returns to scale on each farm situation. Another factor of production i.e. manure and fertilizer was found significantly associated with dependent variable at 1% level probability in all farm situation. The problem related with hired human labour and technical knowledge was notice at I and II rank by the sample farmers (i.e. Unavailability of machines and tractor and Lack of improved varieties).

Pendapatan dan Kelayakan Usahatani Tomat (Solanum lycopersicum L.) di Kecamatan Merdeka Kabupaten Karo

This research aims to determine the level of income and feasibility of tomato farming in Merdeka District, Karo Regency. Determining the research location was carried out purposively. The number of sample farmers was 34 people using the Slovin method. The research results show that on average farmers manage 0.46 Ha of farming land. The largest component of production costs incurred by farmers in tomato farming in Merdeka District is pesticide costs amounting to IDR 13,302,852.92 or 31.76% of the total production costs. Meanwhile, the smallest cost component is the rope cost of IDR 600,000 or 1.43%. The average income of tomato farmers per planting season is IDR. 58,008,029.4 or Rp. 9,668,005 per month. Feasibility of farming with the R/C Ratio value per farmer in tomato farming is 2.385 and the B/C Ratio value is 1.385 which shows that the farming is economically feasible to operate. Keywords: farming, tomatoes, costs, income, feasibility

Rythu Bharosa Kendram: Rejuvenating the Indian Rural Economy

Rythu Bharosa Kendram (RBK) serves as one stop shop for all of the needs of farmers at the Panchayat level. They offer services like e-crop booking for crop insurance, an agricultural input store, farmer knowledge centers, a technical advisory team, YSR Rythu Bharosa, Polambadi (Farmer Field School), CCRC cards, D-Krishi Seed distribution, and others. The objective is to study the extent of adoption of technologies and services of RBKs by the farmers. The present study is conducted in Prakasam district of Andhra Pradesh state as it is has significant area under crop cultivation. Multi stage simple random sampling technique has been adopted to select the sample farmers for the study. The data was collected from 75 respondents by personal interview method and analyzed using statistical analytical techniques such as Mean scale value and adoption Index. The study revealed that the majority of respondents 58.67% adopted technology at a medium level followed by low adoption 26.67% and high adoption 14.67% levels. The study concludes that RBKs are vital in serving farmers, with moderate adoption levels influenced by farmers’ age and education.

Climate-smart agriculture and food security in climate-vulnerable coastal areas of Bangladesh

The issue of global climate change is increasingly worrisome, particularly for countries heavily reliant on agriculture. To reduce the negative impact of climate change on agriculture, farmers of Bangladesh started adopting different climate smart agriculture (CSA) practices. The CSA sustainably increases productivity, resilience, and food security, which can contribute to the achievement of a number of sustainable development goals (SDGs). However, the adoption of CSA is low especially in the climate-vulnerable coastal areas of Bangladesh. Therefore, this study was conducted to identify the factors affecting the adoption of CSA and its influence on coastal household’s food security. A total of 327 sample farmers from three coastal districts of Bangladesh were interviewed. The collected data were then analyzed by using the binary probit and ordered probit model. The findings indicated that highest 65% of farmers adopted early planting of rice as one of CSA practices. The adoption of CSA practices positively affected by the household annual income, extension services and awareness regarding CSA practices. Moreover, the adopters of CSA were more food secure than non-adopters. For instance, adoption of one additional CSA practice leads to an increase in the likelihood of being food secure by 4.3%. In terms of policy perspective, the adoption of CSA in the coastal areas can be increased through creation of employment opportunities, increasing access to extension services, and broadcasting of CSA-related programs on mass media.

Assessing antimicrobial resistance profiles of Salmonella enterica in the pork production system.

Introduction. Salmonella enterica is a significant enteric pathogen affecting human and livestock health. Pork production is a common source of Salmonella contamination, with emerging multidrug resistance (MDR) posing a global health threat.Gap statement. Salmonella contamination and antimicrobial resistance (AMR) profiles in the pig production chain are underreported.Aim. To investigate the prevalence of S. enterica in the pig production chain and characterise their AMR profiles.Methodology. We collected 485 samples from pig farms, a standard pig abattoir and retail markets in Patthalung and Songkhla provinces in southern Thailand. Antimicrobial susceptibility testing was performed on these samples, and AMR profiles were determined.Results. S. enterica was detected in 68.67% of farm samples, 45.95% of abattoir samples and 50.67% of retail market samples. Analysis of 264 isolates, representing 18 serotypes, identified S. enterica serotype Rissen as the most prevalent. The predominant resistance phenotypes included ampicillin (AMP, 91.29%), tetracycline (TET, 88.26%) and streptomycin (STR, 84.47%). Over 80% of isolates showed resistance to three or more antimicrobial classes, indicating MDR. The AMP-STR-TET resistance pattern was found in nearly 70% of all MDR isolates across the production chain.Conclusions. The high prevalence of MDR is consistent with extensive antimicrobial use in the livestock sector. The presence of extensively resistant S. enterica highlights the urgent need for antimicrobial stewardship. Strengthening preventive strategies and control measures is crucial to mitigate the risk of MDR Salmonella spreading from farm to fork.

Comparison of the presence of high production volume chemicals in farmed and wild fish highly consumed in catalonia and their risk assessment

The decline in fish populations and the depletion of marine resources have sparked concerns about sustainable fish production, driving the innovation of new aquaculture methods. While some argue that wild fish are healthier than farmed fish due to less exposure to contaminants and pathogens, wild fish can accumulate contaminants from more contaminated water sources. The slower growth of wild fish and their longer exposure to the environment may contribute to higher pollutant levels in fish tissues. In this study, we focus on 25 contaminants considered as high production volume chemicals (HPVCs), such as organophosphate esters (OPEs), benzothiazoles (BTs), benzosulfonamides (BSAs) and phthalates (PAEs). The compounds were extracted from the edible part of the fish using the QuEChERS method and analysed by gas chromatography-tandem mass spectrometry.A total of 74 samples were analysed from three of the most commonly consumed species in Catalonia, Spain (turbot, sea bass and sea bream). Two samples of each species were collected each month, one form farmed and one from wild origin. In general, the compounds were found in all the samples in a wide concentrations range, although no significant differences were observed between the mean concentration of wild and farmed samples. Although similar mean concentrations for the OPEs, BTs and BSAs were found between farmed and wild origin samples, PAEs were more frequently detected in farmed samples. Di-n-octyl phthalate and diethyl phthalate showed the highest concentrations in all fish samples, with values up to 19505 and 17605 ng g−1 (d.w.), in sea bass and sea bream, respectively. Di-(2-ethylexyl)-adipate proved to be the most relevant carcinogenic compound, with no associated health risk. Despite the detection of the studied HPVCs, no health risk was associated with the consumption of these three fish species.

Occurrence and antimicrobial resistance of Campylobacter jejuni isolated from poultry and hospitalized diarrheal patients in Pakistan

The leading human enteropathogen Campylobacter jejuni (C. jejuni) is recognized as a major public-health concern, due to emerging multidrug resistant (MDR) strains, and associated post-infectious complications. Therefore, the present study determined the occurrence of C. jejuni in diarrheal cases and poultry, in Khyber Pakhtunkhwa Province, Pakistan, and associated antimicrobial resistance patterns. In total, 840 samples were collected from clinical and different poultry sources between May 2019 to April 2020, to determine the occurrence, seasonal variations, bacterial loads in diverse poultry samples, age-related variations in human infections as well as associated antimicrobial resistance patterns of C. jejuni, highlighting its “One Health significance” at the human-food interface. Clinical samples (n = 240) from five age-groups of hospitalized diarrhoea patients, showed occurrence rate of 39 %, which peaked in the summer and was highest in children under 5. In poultry samples, 57 % (342/600) were positive for C. jejuni, varied from 45 % (109/240) in chicken meat to 65 % (233/360) in farm samples. Except frozen meat, C. jejuni-positive poultry samples showed seasonal contamination levels, with summer having the highest bacterial loads. In chicken meat, 2 % of positive samples (2/109) had bacterial loads <1 logCFU/g, while 20 % (22/109) exceeding 3log CFU/g. Grocery store samples showed lower bacterial contamination. All human and poultry isolates (n = 436) were resistant to nalidixic acid (100 %) and none to amikacin (0 %). Of these, 66 % showed multidrug resistance, with 9 % (38/436) resistant to panel of seven out of eight antibiotics tested. This study highlights the high occurrence of and concerns about MDR C. jejuni in Khyber Pakhtunkhwa, Pakistan, particularly in young children.

Biological and genomic characterization of a polyvalent phage PSH-1 against multidrug-resistant Salmonella Enteritidis

BackgroundBacteriophage has been renewed attention as a new antibacterial agent due to the limitations of antibiotic treatment. Bacteriophages are generally thought to be highly host specific and even strain specific, but a small number of polyvalent bacteriophages have been found to infect bacteria of different genera.ResultsIn this study, a virulent lytic bacteriophage (named Salmonella phage PSH-1) of Salmonella Enteritidis was isolated from the sewage samples of a large-scale pig farm, PSH-1 demonstrated lytic activity against four multidrug-resistant Salmonella Enteritidis isolates and Escherichia coli, and then its biological characteristics, genome and bacteriostatic ability were investigated. The results showed that the initial titer of PSH-1 was 1.15 × 1010 PFU/mL and the optimal multiplicity of infection (MOI) was 0.01, PSH-1 has stable activity in the range of pH 3.0–11.0. One-step growth curve showed that its latent period was 20 min, burst time was 80 min, and the burst was 495 particles. The whole-genome sequencing results revealed phage PSH-1 had a linear dsDNA with 48,466 bp length. The G/C content was 45.33%. Non-coding RNA genes and virulence factors were not found. Eighty- five open reading frames (ORFs) were identified after online annotation. By tests, the use of phage could succeed in controlling the artificial Salmonella contamination in milk at a range of temperatures.ConclusionsThis study reports a novel Salmonella Enteritidis phage PSH-1, which has a robust lytic ability, no virulence factors, and good stability. The characterization and genomic analysis of PSH-1 will develop our understanding of phage biology and diversity and provide a potential arsenal for controlling of salmonellosis.

Identification of Antimicrobial-Resistant Zoonotic Bacteria in Swine Production: Implications from the One Health Perspective.

Antimicrobial resistance poses a major threat to global health and food security and is primarily driven by antimicrobial use in human and veterinary medicine. Understanding its epidemiology at farm level is crucial for effective control measures. Despite the significant reduction in antibiotic use in conventional livestock production, the swine sector traditionally has a higher level of antibiotic use in veterinary medicine. Consequently, multidrug resistance (MDR) among microbial isolates of swine origin has been relatively frequent. The aim of this study was to assess the presence of multidrug-resistant (MDR) bacteria, enteric pathogens and resistance genes to the main antibiotics used in clinical practice, both within the environment and in animals across pig farms characterized by varying degrees of sanitary status. A total of 274 samples were collected. Of these, 34 samples were collected from the environment (wall swabs, slat swabs and slurry pit), and 240 samples were collected from animals (sows' and piglets' rectal faeces). All samples were analysed for MDR bacteria and enteric pathogens. The study revealed a high frequency of extended-spectrum beta-lactamases (ESBL)-producing Enterobacterales and Campylobacter spp., with ESBL-producing Enterobacterales predominating in high health status farms (environment and animals) and Campylobacter spp. in both high health status and low health status environments. Additionally, a high percentage of methicillin-resistant Staphylococcus aureus (MRSA) was found, mainly in environmental samples from high health status farms, and Clostridioides difficile was distributed ubiquitously among farms and samples. Furthermore, though less frequently, vancomycin-resistant Enterococcus faecium (VRE) was isolated only in high health status farms, and Gram-negative bacilli resistant to carbapenems were isolated only in environmental samples of high health status and low health status farms. This study underscores the importance of surveillance for MDR bacteria in farm animals and their environment, including their waste. Such ecosystems serve as crucial reservoirs of bacteria, requiring national-level surveillance to promote responsible antibiotic use and pandemic control.

Economic Efficiency of Potato Production by Smallholder Farmers in West Arsi Zone, Oromia Region Ethiopia

This study investigated Economic Efficiency of Potato Production in West Arsi Zone, Oromia Region, Ethiopia. Structured questionnaires were used to collect data from 117 respondents randomly selected from designated locations in West Arsi Zone. A stochastic production frontier function was fitted to the sample households. The result revealed that the mean TE, AE and EE was about 75.60%, 91.41% and 69.07% of for potato production. The sum of the partial elasticity of all inputs were 1.17 for Potato indicating an increase in all inputs at the sample mean by one percent increase by 1.17%. This indicates that the production function is characterized by increasing returns to scale productions. The result of Tobit model estimation indicated that the technical efficiency of Potato production in West Arsi Zone is significantly influenced by the variables potato farming experience, education level, social participation and Extension contact affect efficiency positively while, distance to FTC affect technical efficiency negatively. The mean potato yield difference between sample farmer due to technical efficiency variation was 31.04 qt per ha. District office of Agriculture, stockholders and concerned bodies should focus on farmers experience sharing, providing technical support and farmers practice different social participation to improve his/her income could jointly contribute to the improvement in efficiency of Potato farmers in West Arsi Zone.

Physical and Geochemical Characterisation of Pongo Pitti and Bossambo Farm Clays (Littoral Region, Cameroon) for use in Ceramics

The main objective of this work is to discern the physico-chemical and mechanical behavior of the Pongo Pitti and Bossambo Farm clay formations, located on either side of the Sanaga river in the littoral region of Cameroon. To achieve this, two field campaigns and laboratory works were carried out. Four clay materials were collected and brought back to the laboratory. The laboratory investigations involved physico-mechanical and geochemical analyses, followed by ceramic testing. The materials studied have a clayey texture, with clay percentages ranging from 26.89% to 80.3%, silt from 13.2% to 57.6% and sand from 1.58% to 47.26%. The plasticity index ranges from 11.9% to 24.2%. From a geochemical standpoint, the materials studied show a predominance of silica (49.6% to 63.5%), alumina (20.5% to 27.1%) and iron (2.39% to 8.6%), with the SiO2/Al2O3 ratio varying from 1.96 to 3.1. The Al2O3/Fe2O3 ratio is 8.4 for Pongo Pitti clays and 2.9 for Bossambo Farm clays. The geochemical weathering indices (ICV, CIA, PIA, CIW, CIW) show a high degree of weathering, with values in excess of 90%. Alkali and alkaline-earth proportions are lower, and the K2O/Na2O ratio varies between 8.45 and 14.24, showing an enrichment of potassium in relation to sodium. Lantane is the most abundant rare-earth element (323.84 ppm). The REE study shows a predominance of light REEs over heavy REEs (LREE/HREE~4.51) and a negative Europium anomaly. Infrared spectroscopy showed poor kaolinite crystallinity. Mechanically, the specimens studied, fired at temperatures ranging from 950℃ to 1050℃ showed good cohesion and metallic soundness. Linear shrinkage was 4.8%. Mass loss increases with temperature. Its value is 12.5% for Pongo Pitti materials and 8.5% for Bossambo Farm materials. Water absorption decreases with temperature and is 20.27% for Pongo Pitti samples and 15.79% for Bossambo Farm samples. Bulk density increases with temperature (2.11 at 950℃ to 2.51 at 1050℃). Flexural strength increases with temperature and is 6.66 MPa for materials from Pongo Pitti and 8.89 MPa for those from Bossambo Farm. These materials can be used to make fired bricks and roof tiles, and Pongo Pitti materials can be used to make refractory ceramics

Impact of Institutional and Non-institutional Agricultural Credit on Farmers-income and Constraint Analysis in Telangana, India

The present study is to analyse Impact of institutional and non-institutional Agricultural credit on farmers income and Constraint analysis. The study was conducted in 3 districts, 6 mandals, 12 villages and 120 sample farmers were selected for the study. Cost of cultivation (cost concepts) and income measures were used to analyse impact of agricultural credit on farm household income. Garette’s ranking technique was used to analyse the constraints faced by farmers in availing Agricultural credit. The cost of paddy cultivation was ₹78212.78 for institutional farmers and ₹80,726.78 for non-institutional farmers. ₹62050.96 is the Net Return for institutional farmers, whereas ₹54879.66 is for non-institutional farmers. Institutional farmers had a return on investment per rupee of 1.81, while non-institutional farmers had a return of 1.69. The major constraint faced by farmers is delays in loan disbursement. Agricultural credit has a positive impact on farm income. Therefore, the increase in institutional loans has improved the borrower farmers' economies. Timely disbursement of loans, simplifying the application procedure/documentation procedure and educating farmers about agricultural loans are suggested to improve crop loans availing in institutions.

Characteristics of air-borne and feces-borne ARGs and microbial community in different livestock farms in China

Livestock farms are hotspots of antibiotic resistance due to the intensive use of antibiotics, in which the characteristics of air-borne and feces-borne antibiotic resistance genes (ARGs) and microbial communities are of great significance. This study delves into the distribution of ARGs and microbial communities across various livestock farms in China, and the correlation of microorganisms between livestock farms and other global environments was investigated. The concentrations of ARGs and mobile genetic elements (MGEs) in air samples were basically at the same level, but those in fecal samples collected from chicken farms were universally higher than those in pig and cattle farms. There was significant ability of ARGs to spread easily among different bacteria in all samples in livestock farms. Additionally, there may be more possible host bacteria of airborne ARGs in chicken farms. In the global-scale analysis of highly similar microbial communities, the database matching with the highest number of similarities to microbial communities collected from livestock farms is genes related to human sources (54.8%). This study advances our understanding of ARG dynamics in different livestock farms and contributes to the development of sustainable livestock management practices.

Economic Analysis of Major Crops in Jammu Division of Union Territory of Jammu and Kashmir, India

This micro-economic study focuses on the cost and returns analysis for major crops (wheat, paddy, and maize) in the districts of Jammu, Kathua, and Samba in the Jammu division. Conducted at SKUAST, Jammu during 2023, the study utilized a multistage random sampling method to achieve its objectives. Data was collected from 360 sample farmers, covering aspects such as land-holding size, costs, and return structures. The costs associated with crop cultivation varied pointedly across the districts, with Samba incurring ₹14272.57 for Cost A2 and ₹33023.58 for Cost C3 which was the highest of overall costs. Jammu had the highest main-product yield of 25.22 quintals and by-product yield of 32.70 quintals. Jammu also recorded the highest fixed costs (₹13488.30) whereas the highest total cost was in Samba with ₹30021.43. Gross returns were highest in Jammu with ₹68303.22, resulting in net returns of ₹38740.29. Jammu also had the highest benefit-cost ratio of 1:2.30, as well as the highest family labor income and farm business income (₹41755.29 and ₹43060.92, respectively). The rental value of owned land (Cost B2) suggestively impacted final costs, and Jammu district emerged as the most economically favorable for major crop cultivation. Overall, it depicted the possible profitability from cultivation of major crops like wheat, paddy and maize, that may encourage the farming community specially the youngsters to choose agriculture over private sectors, which would ultimately contribute to meet the state demand as well as contribution to SGDP.

Conventional and unsupervised artificial intelligence analyses identified risk factors for antimicrobial resistance on dairy farms in the province of Québec, Canada

Antimicrobial resistance (AMR) is one of the greatest threats to global health worldwide and is threatening not only humans, but also animal production systems, including dairy farms. The objective of this paper was to describe risks factors associated with AMR on dairy farms in Québec, Canada. This observational cross-sectional study included 101 commercial dairy farms and took place between the springs of 2017 and 2018 for a one-year period. We explored risk factors such as farm practices and producer's knowledge (measured using a questionnaire), antimicrobial use (quantified using veterinary invoices), and the presence of Salmonella Dublin (tested by serology). We evaluated AMR with fecal Escherichia coli retrieved from pre-weaned calves and lactating cows using the following outcomes: the presence of extended-spectrum-β-lactamase/AmpC resistance and the number of resistances to antimicrobial classes. We used logistic regression models to evaluate the association between each risk factor and the 2 outcomes for the 2 types of samples (pre-weaned calves and lactating cows). Furthermore, we explored the relationships between these risk factors utilizing data dimensionality reduction and hierarchical clustering. Outputs of these analyses were used as regressors for AMR in regression models. While the results for univariate analyses were ambiguous, the unsupervised analysis naturally categorized the sample of farms according to their health/treatment status (dimension 1, explaining 12.9% of the variance) and herd size (dimension 2, explaining 7.8%). Three clusters of farms were identified (cluster 1: mainly healthy herds and low ceftiofur users, cluster 2: relatively high ceftiofur users, cluster 3: farms with a higher incidence of diseases and higher antimicrobial treatment rates). Dimension 1 and cluster membership were statistically associated with the presence of extended-spectrum-β-lactamase/AmpC resistance in lactating cows and in pre-weaned calves. Dimension 1 was also statistically associated with the number of resistances in lactating cows and in pre-weaned calves. This study highlights the complexity of analyzing risk factors associated with AMR. Our results suggest that the herd health status and the AMU-related practices used are associated with AMR in dairy farms. However, prospective studies are needed to confirm a causal relation.

Technical Efficiency of Smallholder Oil Palm Farms in Batanghari District Jambi Province, Indonesia

Smallholder oil palm farming is the main livelihood in Batanghari District, although its productivity has not shown maximum results. Maximum productivity achieved, it is necessary for farmers to do their business efficiently. This study aims to analyze technical efficiency and socio-economic factors that affect the technical efficiency of smallholder oil palm farming in Batanghari District. The research sample was determined using the multistage sampling method, which was used to sample farmers using simple random sampling. The number of respondents was 100 farmers. The stochastic frontier production function was used for data analysis. The results showed that the average technical efficiency of oil palm farming was 0,89 and had reached efficiency. However, this level can still be increased by 0,11 to achieve the highest level of technical efficiency. The technical efficiency of farming is affected by socio-economic factors, namely farming experience, distance from home to the farm, and the existence of partnerships. Based on the study's results, the technical efficiency of oil palm cultivation can be improved by utilizing production parameters precisely and accurately and increasing farmers' resources to achieve maximum production. For sustainable agricultural development, further research is needed to analyze the economic efficiency of oil palm farming so that the overall picture of both technical and economic efficiency can be seen.