The purpose of this research was comparative analysis of the status of agricultural cooperative extension training in compliance with the learning organization. Causal-comparative research has been used to achieve the research purpose. In this study, the Ex-Post Facto research method was used. Members of agricultural cooperatives in Alborz province were 25,000 people in the statistical population of the study. Using Krejcie and Morgan table, the sample size of this community was 379 people. Statistical analysis of the research was performed using SPSS software version 22. At first, based on previous studies and conducting three brainstorming sessions with experts on educational dimensions (training needs assessment, educational goals, educational content, educational facilities and methods, professional competencies of educators and educational evaluation) based on the principles of the learning organization (personal mastery, mental models, systems thinking, shared vision and team learning), indicators and sub-indicators appropriate to the study population were identified. In order to compare the current and desired situation of the dimensions of extension training of agricultural cooperatives in Alborz province in accordance with the learning organization, the Wilcoxon test was used. Based on the results of comparing, all educational dimensions, ie educational needs assessment, educational goals, educational content, educational facilities and methods, professional competencies of educators and educational evaluation, it was determined through Wilcoxon test that with 99% probability between current and desired in compliance with the learning organization in Alborz province there is a significant difference. Manuscript profile

The purpose of this research was identified barriers to the successof water users' cooperatives in Dashte Azadegan and Hoveyzeh Townships, Khuzestan Province, Iran. This research was an applied study and the research method was descriptive. Members of water users' cooperatives considered as statistical population. The sample size was 256 farmers based on Krejcie &Morgan table. After designing and validating the questionnaire, the questionnaire was pre-tested among 30 people and Cronbach alpha was determined between 0.711 to 0.851. The main tool was a questionnaire. All data processing and statistical analysis was performed using the software SPSS20. Based on the results of factor analysis the factors were categorized into four main components, which have been named infrastructure, economical, managerial and organizational, cultural and social factors. The obtained results from th Manuscript profile

The purpose of this study was to identify factors influencing the adoption of wheat waste management by wheat farmers. The method used in this study using the spatial Probit models and Bayesian model was used to estimate the model. MATLAB software was used in this study. The data of 220 wheat farmers in Khouzestan Province based on random sampling were collected in winter 2016. To calculate Bayesian coefficients the Gibbs sampling and Metropolis–Hastingsalgorithm were used. A Lagrange Multiplier test for spatial error dependence [LM(err)] and a Lagrange Multiplier test for spatial lag dependence [LM(lag)] to extract the appropriate model were used.The results of both models were statistically significant with 99% probability. Thus, both models can be used in interpreting the results. Based on the results of the estimation of spatial models the variables of participation in extension courses, technical knowledge about management of waste, income, crop’s yield, mechanization level and the spatial autoregressive coefficient had significant role on adoption of waste management. Manuscript profile

The purpose of this research is qualitative analysis and prioritize the challenges of sustainable agricultural development in Iran. In this research, using a qualitative method, an attempt has been made to identify the challenges of sustainable agricultural development in Khuzestan province. Qualitative research involves in-depth evaluation, collection, and analysis of non-numerical data to identify and understand phenomena, concepts, ideas, or experiences. This research has been conducted from January to September 2021 to provide a comprehensive, and practical model to understand the challenges through grounded theory and Analytic Hierarchy Process (AHP) in Khuzestan province. This research is an applied type of research, and (systematic) grounded theory is used. The data were collected by performing in-depth semi-structured interviews with the 30 agricultural experts in this field. Data analysis was done by using MAX qualitative data analysis version 12 software (maxqda12) in three steps: open coding, axial coding, and selective coding. The results of this study by grounded theory identified 29 initial codes and six main following challenges were categorized and by AHP prioritized: weakness in management and planning, weakness in human resources, shortage of attention to environmental studies, shortage of infrastructure facilities, shortage of credit and financial capital and weakness in legislation and sustainability policy. A model was finally designed based on the results of the study. Manuscript profile

The purpose of this study was to design a learning organization model for Agricultural Cooperatives (ACs) in Iran. To conduct this study, a survey research method was employed, with stratified random sampling as the chosen sampling method. The primary tool used in the research was the Dimensions of Learning Organization Questionnaire (DLOQ), a standard assessment questionnaire for evaluating learning organizations. Structural equation modeling (SEM) was applied to analyze the collected data. A two-step approach to SEM was used to assess the measurement model and design the structural model. The results revealed that the status of cooperative organizations in Iran did not align with the indicators of a learning organization (LO) and highlighted the need for a model to facilitate the adaptation of cooperatives towards becoming learning organizations. The proposed model identified the most critical dimensions of LO compatibility with cooperatives and the factors influencing them. Cooperative stakeholders can utilize this model to guide their adaptation towards becoming learning organizations in their respective fields of work. This research contributes to the existing literature by offering a model that is tailored to the unique context of cooperatives aiming to become learning organizations. Manuscript profile