Iranian Farmers Research Articles

Iranian farmers' response to the drought crisis: How can the consequences of drought be reduced?

Climate change (CC) is an undeniable global phenomenon, impacting various regions, including Iran. Key components of CC, including the increase in greenhouse gases, rising temperatures, and fluctuations in precipitation patterns, are expected to significantly reduce agricultural crop yields in the near future. In response, identifying effective adaptation strategies is critical for mitigating these adverse effects. This study investigates the role of environmental values, risk perception, and psychological distance in shaping Iranian farmers’ adaptation strategies to CC. A sample of 390 farmers from Shushtar County in southwestern Iran was selected through a multi-stage stratified sampling method. Using structural equation modeling (SEM), the analysis revealed complex interrelationships between environmental values (biospheric, altruistic, and egoistic), beliefs, risk perception, psychological distance, and farmers' adaptation responses to CC. Furthermore, the results indicated that the study variables explain 67.6% of the variance in farmers' adaptive behaviors, with belief in CC emerging as the most influential factor. These findings not only enrich the current body of literature but also provide actionable insights for policymakers to foster adaptive strategies among farmers.

What can I do as a farmer to reduce losses? Willingness to use meteorological information as an exit strategy to deal with meteorological hazards

Meteorological information and forecasts are of great importance to reduce agro-meteorological hazards. However, the gap between production and application of these forecasts is one of the most ambiguous issues of crop management at the farmers’ level. In this regard, investigating the factors influencing Iranian farmers willingness to use meteorological information and predictions was selected as the main aim of the present study. To this end, an extended version of Theory of Planned Behavior (TPB) was employed and modeled. The results revealed that attitude towards the use of meteorological information and predictions, subjective norms in the use of meteorological information and predictions, perceived behavioral control and self-identity in the use of meteorological information and prediction, and moral norm variables regarding the use of meteorological information and predictions positively and significantly affected willingness to use meteorological information and predictions. These variables could account for 46% of willingness to use meteorological information and predictions variance. According to the results, it was suggested that by creating multimedia programs, the agricultural community become aware of the benefits and consequences of using meteorological information in their activities. Furthermore, it was recommended that social cooperation and research groups be formed on the use of meteorological information in agricultural activities. This can contribute to examine the various dimensions (strengths, weaknesses, threats, and opportunities) of using meteorological information from a collective perspective. Making a social decision in this regard can have a profound effect on a person’s subjective norms and dramatically increase the speed of using meteorological information. The results of this study can help policymakers and decision-makers in the field of agriculture to design suitable intervention programs for the effective use of meteorological information by farmers. Also, the results of this study help farmers to effectively reduce the impacts of meteorological hazards.

Musculoskeletal disorders and related risk factors among Iranian farmers: applying Protection Motivation Theory

Introduction: Musculoskeletal disorders (MSDs) are one of the main occupational health problems worldwide. Among different careers, the farming profession is highly prone to MSDs. A variety of factors to prevent MSDs can be named such as preventive behaviors. To determine the factors in health-related behaviors, protection motivation theory (PMT) is widely accepted as a framework. Therefore, the present study is an attempt to determine the MSD preventive factors using PMT in farmers in rural areas of Tuyserkan County. Methods: This was a cross-sectional study among 285 farmers living in Tuyserkan County in 2021. The farmers were selected through cluster random sampling from 54 health houses affiliated with the health center of the county. In the next stage, the participants were selected through simple random sampling. Data gathering was done online using a questionnaire of the constructs of PMT and a Nordic questionnaire. The collected data were analyzed in SPSS 24 using linear and binary regression tests. Results: The mean work experience of the farmers was 22.11 years, and the activity in 81.8% of the participants was in standing and sitting positions. In addition, 55.4% of the participants had at least one of the MSD symptoms and the most common symptoms were back pain (67%) and pain in the knee area (35.5%). The majority of farmers did not observe MSD alleviation behaviors. The variables perceived susceptibility, fear, self-efficacy, and behavior had protective effects against MSDs in the farmers; while, monthly income, age, work hours per day, and type of activity had intensifying effects on MSDs. Conclusions: Farming is recognized as a risky job for health and several evidences show a relationship between failure to perform preventive behaviors and the prevalence of MSDs. Given the paucity of studies using health education theories and models to examine the factors in MSDs, the present study employed the PMT framework to examine MSD factors in farmers.

A probabilistic risk assessment of long-term exposure to metals and pesticides residues via consumption of cucurbit crops

Cucurbits contribute significantly to global food and are economically important for farm lands and greenhouses in Iran. The present study assessed the probabilistic risk posed to Iranian consumers through oral exposure to a mixture of pesticides and metals by consumption of cucurbit crops. A total of 180 samples of cucurbit crops including cucumber, courgette, pumpkin, Persian melon, watermelon, and melon were collected from different farm lands (i.e. open fields, 90 samples) and greenhouses (90 samples) in Iran and levels of pesticides and metals were quantified by GC-MS and ICP-OES, respectively. The mean levels of Cd, As, and Ni were above reference dose (RfD) in farmland crops, whereas only Ni levels were above RfD in greenhouse crops. In general, metals mean levels in farmland crops were statistically higher compared to greenhouse cucurbits. Concerning pesticides, in farmland crops, mean concentrations of carbaryl, methomyl, diazinon, malathion, and methamidophos were above the maximum residue limits (MRLs), while in greenhouse crops diazinon and methamidophos were above MRLs. Estimated incremental lifetime cancer risk (ILCR) and hazard index (HI) for metals reflected no health risk for both farmland and greenhouse crops. Based on probabilistic assessment, HI values for carbamates, pyrethroids, and organophosphorus contents in cucurbit crops from farmlands and greenhouses at the 50th, 80th and 95th centiles, indicated no risk for Iranian consumers. Agricultural policies should be updated by using the cultivars types with minimum contaminants-accumulation and raise the general awareness of Iranian farmers about careful use of pesticides and fertilizers in agricultural practices.

Intervention strategies for the safe use of semi-treated wastewater by Iranian farmers: An approach for safe food production in the circular economy

Intervention strategies for the safe use of semi-treated wastewater by Iranian farmers: An approach for safe food production in the circular economy

Soil conservation projects and their consequences: the behavior analysis of Iranian farmers

Soil conservation projects and their consequences: the behavior analysis of Iranian farmers

Why Do Farmers Over-Extract Groundwater Resources? Assessing (Un)sustainable Behaviors Using an Integrated Agent-Centered Framework

This study uses an Integrated Agent-Centered (IAC) framework to investigate the socio-psychological drivers of Iranian farmers’ unsustainable groundwater management practices. Empirical land use change analysis of US Geological Survey Landsat satellite images of the Jaz-Murian wetland region for 1990, 2010, and 2022, is combined with community surveys conducted with randomly selected farmers in five townships within the region (n = 356). Visual analysis reveals dramatic increases in agricultural land coverage, diminished water bodies, and increased salt lands over the 32-year sampled period. We use survey data to explain the socio-psychological drivers of unsustainable groundwater use that lead to these adverse environmental changes. In the IAC survey analysis, we find that variables for “expectation” and “subjective culture” have a negative influence on pro-environmental “intention”. “Intention” and “habit” have a positive influence and “contextual factors” have a negative influence on the drivers of “unsustainable water use behavior”. We conclude that situational influences, habitual process, intentional process, and normative processes must be considered together to alleviate pressure on wetland ecosystems. Policy makers must provide effective agricultural extension training, deliberative dialogue amongst farmer networks, well-governed local water markets and financial support to shift farmer short-termist economic gain-thinking towards socially-supported pro-environmental habits over the longer term.

Conceptualization of Farmers’ Water Conservation Intention and Behavior through the Lens of Economic Man Worldview: Application of Structural Equation Modeling

Although different worldviews have been presented to analyze the conservation behaviors of farmers, limited empirical evidence exists for the use of the economic man worldview to analyze farmers’ water conservation behaviors (WCBs). Therefore, the conceptualization of farmers’ water conservation behavioral intentions through the lens of this worldview was the primary objective of this survey. To this aim, the extended planned behavior theory (PBT), which is the main theory of the economic man worldview, was employed. The study population was 36183 Iranian farmers, 380 of whom were interviewed in-person in the form a cross-sectional survey research design. An estimation of sample size was performed via the Krejcie and Morgan Table. Moreover, the distribution of the sample size was carried out by a multi-stage random sampling method. Validity and reliability, which are undeniable features of questionnaires in social and psychological sciences, were examined using different quantitative and qualitative indices. The obtained results indicated that the effect of intention towards water conservation (IWC) on WCB was positive and significant. Therefore, this research supports the main assumption of the PBT and the economic man worldview. However, according to the results, the power of IWC’s effect on WCB is not very significant. In addition, the variance explanation of WCB as the fundamental dependent variable is not very high. It can be mentioned that the economic man worldview has a relative and moderate power to analyze the WCBs of farmers. Hence, it is suggested that some variables, including moral norms, environmental concerns, and environmental values, are used to develop and increase the explanatory power of the PBT in future studies. This study is the first study of the applicability of the economic man approach in analyzing farmers’ WCBs. It could be used to open a new research window for future and interested researchers to conduct successful interventions in the field of water conservation.

Promotion of adopting preventive behavioral intention toward biodiversity degradation among Iranian farmers

Promotion of adopting preventive behavioral intention toward biodiversity degradation among Iranian farmers

Factors underpinning Iranian farmers’ intention to conserve biodiversity at the farm level

The depletion of biodiversity is a major environmental challenge of the present time, with the agricultural sector being a significant contributor to the loss. Therefore, farmers' decisions and practices are pivotal in safeguarding biodiversity at the farm level. Accordingly, this study aimed to unravel the key factors influencing farmers' intention to conserve biodiversity (ICB), and in doing so, it adopted the protection motivation theory (PMT) as the theoretical framework. The study's statistical population comprised 412 farmers residing in Bavi County in the southwestern region of Iran. The research employed a questionnaire as the data collection instrument, and the research hypotheses were tested using structural equation modeling (SEM). The findings indicated that the respondents held a perception of high costs associated with implementing biodiversity conservation behaviors. They believed that such measures would not be easy to implement, and they would incur both monetary and non-monetary costs. Furthermore, the findings of the study revealed that the variables of SE and ICB among the studied farmers were lower than the theoretical median of 3, indicating that farmers may not have a strong desire and self-efficacy to engage in biodiversity conservation practices. Through the application of SEM, the study determined that the PMT accounts for 65.2% of farmers’ ICB. Additionally, perceived severity and self-efficacy were found to have the strongest effects on farmers’ ICB (as the first and second determinants), highlighting the importance of these variables in predicting farmers’ conservation behaviors. Overall, it can be concluded that these results have significant implications for policymakers in the agricultural sector, providing valuable insights into how to promote biodiversity conservation practices among farmers.

Shaping farmers’ beliefs, risk perception and adaptation response through Construct Level Theory in the southwest Iran

Due to the severe effects of climate change on the agricultural sector, urgent action is required on the part of farmers and is, indeed, critical to reducing climate change impacts. However, reports globally revealed farmers’ engagement in climate change adaptation is still insufficient, ambivalent, and inconsistent and farmers do not consider adaptation to be urgent. Researchers have argued that this issue is rooted in psychological biases beside other factors. Therefore, the aim of this study is to evaluate how psychological distance determines climate change beliefs, risk perception and adaptation strategies among Iranian farmers. A cross-sectional paper-based survey was conducted in the Dasht-e Azadegan county of Khuzestan province in southwest Iran. The study sample consisted of 250 farmers selected through a multi-stage random sampling process. An expert panel review and a pilot study were conducted to confirm convergent validity and reliability of the scales. The results confirm that all four dimensions of psychological distance influence water management adaptation strategies and non-farm activities. Moreover, all psychological dimensions, except the temporal dimension, affect adaptation in farming management. Thus, making climate change more proximal to decision makers could be a strategic way of encouraging individuals to take adaptive actions. This study emphasizes that concepts of psychological distance can be applied to help organizations (e.g., agriculture extension services) to understand farmers’ risk perceptions and responses to climate change impacts and improve risk communication to better engage farmers in climate action.

Ancient genome of Empress Ashina reveals the Northeast Asian origin of Göktürk Khanate

Ancient genome of Empress Ashina reveals the Northeast Asian origin of Göktürk Khanate

Governance of Agricultural Water Management: How Does the EPSI Model Explain Iranian Farmers' Satisfaction? An Experience from Northwestern Iran

Governance of Agricultural Water Management: How Does the EPSI Model Explain Iranian Farmers' Satisfaction? An Experience from Northwestern Iran

Typology of Iranian farmers' vulnerability to the COVID-19 outbreak.

Presently, farmers are faced with a new crisis caused by the outbreak of COVID-19. On the one hand, they are vulnerable to such respiratory diseases due to the nature of their farming activity. On the other hand, they will definitely be influenced by the pandemic in different aspects no matter if they do not contract the infection. So, this research aimed to study the vulnerability of farmers to the COVID-19 pandemic. The present study was conducted using the quantitative approach and a descriptive-survey methodology. The statistical population was composed of farmers in Kermanshah province, Iran (N = 126,900). The sample (n = 382) was taken by the multistage stratified sampling technique with proportional allocation. The research instrument was a self-designed questionnaire whose face and content validity was confirmed by a panel of relevant experts and its reliability was supported in a pilot test. The main damages of the pandemic to the farmers were found to be the increased costs of production, permanent or seasonal unemployment, reduced access to crop sale markets, and reduced control over pests and diseases at farms. The results revealed that the means of environmental, agronomic-vocational, and economic vulnerability were greater than the scale mean. The results also illustrated significant differences in the means of economic, psychological-social, agronomic-vocational, and environmental dimensions of vulnerability. Among these dimensions, the variable of agronomic-vocational vulnerability had the highest mean, and the variable of psychological-social vulnerability had the lowest mean. Farmers have been one of the groups most severely influenced and damaged by the pandemic in various aspects. In this regard, organizations and institutions in charge of different agriculture sections, especially the Office of Agricultural Extension and Education, must develop practical strategies to reduce the effect of the pandemic on the agricultural sector. Identifying the dimensions and parameters of farmers' vulnerability in the face of COVID-19 can provide new and appropriate solutions to relevant planners and policymakers.

What drives farmers to use conservation agriculture? Application of mediated protection motivation theory.

Conservation agriculture is an approach for managing agricultural ecosystems, improving productivity, increasing benefits and food security, and preserving resources and the environment. The core purpose of this study was to analyze the constructs affecting the intention to use conservation agriculture measures. For this purpose, protection motivation theory was applied as the theoretical framework. Validation of the model was done using a cross-sectional survey among Iranian farmers, and SMART PLS software was used to test the hypotheses. The results showed that the direct effects of the five constructs of perceived severity, perceived vulnerability, response cost, response efficacy, and self-efficacy were significant on the intention to use conservation agriculture measures. In addition, the variables of perceived severity, response cost, and perceived self-efficacy had significant effects on the fear of not using conservation agriculture measures. The results of the bootstrapping analysis indicated that the fear of not using conservation agriculture measures significantly mediated the effects of perceived severity, response cost, and self-efficacy on the intention to use conservation agriculture. The results of the present research help to develop protection motivation theory by defining new relationships between its variables and achieving a deeper understanding of these relationships. The results also can pave the way for social and psychological interventions in the field of adopting the principles of conservation agriculture in agricultural societies. Finally, the results of this research can be used as a decision-making tool and help for users and planners of behavioral changes to better identify the focus points and necessary strategies.

Application of social identity models of collective action to facilitate participation in groundwater aquifer storage and recovery management.

Aquifer storage and recovery (ASR) is considered as an innovative method and an alternative one for sustainable management of water resources that has, in recent years, attracted the attention of experts and thinkers. Implementation of this method would entail the participation and collective action of various stakeholders. In this process, farmers are considered as the most important stakeholders; and limited studies have been conducted on their intentions to participate in collective actions of ASR management. In this regard, the investigation of farmers' intention to participate in ASR and its determinants, using social identity models of collective action, was selected as the main purpose of the present study. For this purpose, using a cross-sectional survey, 330 Iranian farmers were interviewed. In this study, the ability of the dual-pathway model of collective action (DPMCA) and the encapsulation model of social identity in collective action (EMSICA) was evaluated and compared to explain farmers' intentions towards participation in ASR management. The results revealed that the both models had good predictive powers. However, DPMCA was a stronger framework than EMSICA for facilitating farmers' collective behaviors in the field of participation in ASR management. This is one of the most important results of the present research that might be used by various users including decision makers, managers, and practitioners of water resources management in Iran and generally the world. Finally, the creation of a "we thinking system" or social identity in the field of ASR management was highlighted as one of the most important take-home messages.

Genomic insights into the genetic structure and population history of Mongolians in Liaoning Province

The Mongolian population exceeds six million and is the largest population among the Mongolic speakers in China. However, the genetic structure and admixture history of the Mongolians are still unclear due to the limited number of samples and lower coverage of single-nucleotide polymorphism (SNP). In this study, we genotyped genome-wide data of over 700,000 SNPs in 38 Mongolian individuals from Fuxin in Liaoning Province to explore the genetic structure and population history based on typical and advanced population genetic analysis methods [principal component analysis (PCA), admixture, FST, f 3 -statistics, f 4 -statistics, qpAdm/qpWave, qpGraph, ALDER, and TreeMix]. We found that Fuxin Mongolians had a close genetic relationship with Han people, northern Mongolians, other Mongolic speakers, and Tungusic speakers in East Asia. Also, we found that Neolithic millet farmers in the Yellow River Basin and West Liao River Basin and Neolithic hunter–gatherers in the Mongolian Plateau and Amur River Basin were the dominant ancestral sources, and there were additional gene flows related to Eurasian Steppe pastoralists and Neolithic Iranian farmers in the gene pool of Fuxin Mongolians. These results shed light on dynamic demographic history, complex population admixture, and multiple sources of genetic diversity in Fuxin Mongolians.

Monitoring of pesticide and some metal residues in Mazafati date fruit cultivar and risk assessment to the health

Metals and pesticides pose risk to human health if accumulated in date fruits eaten for their distinctive sweetness and beneficial minerals. The present study evaluated the concentrations of metals and pesticides in Mazafati date fruit, soil, and irrigation water from three locations of Kerman province in Iran to show potential pollution hazards to consumers of date fruit in Iran. Levels of pesticides and metals were measured using chromatography-mass spectrometry (GC-MS) and atomic absorption spectrophotometry, respectively. The significant difference between the levels of Cu, Fe, chlorpyrifos, and malathion from three various locations was identified. The majority of metals except for Pb and Cd did not meet the safety limits concerning maximum allowable levels (MAL) in the Mazafati date cultivar. Estimated daily intake (EDI) of metals through date consumption (g/person/day) for all metals was above the tolerable daily intake in all studied locations. Furthermore, the concentrations of identified residues of chlorpyrifos, HCH total, and malathion are considerably upper than the maximum residue limits (MRL), showing a risky trend in the cultivation of date palm. As a result, the public consciousness of Iranian farmers should be raised to use pesticides more prudently. Also, consuming date fruits cultivated close to the industrial zones is hazardous and must be prevented.

Modeling Potential production and yield gap of potato using modelling and GIS approaches

Understanding yield potential (Yp) and yield gap (Yg) in current intensive potato (solanum tuberosum L.) production is essential to meet future food demand with the limited resources. Evaluating yield gap is a strong approach to estimate maximum production potential when all factors are in the best condition. A complete estimation of yield gap and potential yield across all major potato producing regions in Iran is lacking. The global yield gap atlas (GYGA) protocol was used to estimate potential yield of potato in Iran. This protocol is based on the climatic zones (CZs) and the reference weather stations (RWS) buffer zones, soil types in each buffer zone. Thirty-five RWS buffer zones in potato producing regions were selected, and total potato area in the RWS buffer zones covered 83% of the whole potato harvest area. According to the results, the average Yp was 67.3 t ha–1 and actual yield (Ya) was 30 t ha–1. Therefore, the average tuber yield gap was 37.3 t ha–1. These results indicate that the Potato producers achieved 45% of the potential yield in Iran. Iranian farmers produced 5 million tons of potato from about 164,000 ha. If they can obtain only 80% of Yp (53.8 t ha–1), amount of potato production will be 8.8 million tones. As result, they can produce 5.2 million tons tuber yield of potato in 97,000 ha cultivation area. Thus, with closing yield gap and increasing potato production, it is possible to decrease potato lands.

Understanding the influence of Iranian farmers’ climate change beliefs on their adaptation strategies and mitigation intentions

ABSTRACT Agriculture is one of the most vulnerable sectors to climate change, therefore it is necessary to understand farmer perceptions of – and adaptation to – climate change. As part of a unique farm adaptation study in Iran, we used structural equation modelling to analyze 400 on-farm survey responses from Khuzestan Province farmers, to understand how their different types of climate change beliefs influenced their mitigation and adaptation behaviour. The structural equation modelling results show that: (1) social trust and responsibility directly influenced adaptation and mitigation; (2) age, education, and family size were not significantly associated with the adaptation and mitigation indexes; and (3) believing in overall climate change was not the actual driver of farmer adaptation (or mitigation) behaviour, and that overall beliefs were mediated through individual farm and local experience. Beliefs in farm and local climate change impacts had the largest, positive, and significant influence on farm adaptation. Once mediated, overall farmer climate change beliefs played a negative role influencing total farm adaptation behaviour, highlighting the need for government and agencies to target communication around the risk impacts of climate change, particularly at the local and regional levels.