I. Alemzadeh, M. Vosoughi, V. Maghsoodi,
Volume 2, Issue 3 (Number 3 - 2000)
Abstract
Different layers of acorn (Quercus infectoria), hull, seed coat and seed kernel were analyzed
for determination of chemical composition. The results of the preliminary analysis
showed that acorn contained more than 65% carbohydrates, 8% lipid and 10% tannin
among other constituents. The fatty acid composition of the seed oil was determined using
thin layer chromatography and comparing with standards. The results showed the presence
of both saturated and unsaturated fatty acids. Saturated fatty acid: are C14:0, C16:0,
C18:0, and C20:0. Unsaturated fatty acid: C18: 1 and C18: 2. Total saturated fatty acids
represented 20% and unsaturated fatty acids contributed 80% to acorn fat content.
Volume 7, Issue 4 (Fall 2018)
Abstract
This study was carried out to evaluate the effects of dietary protein levels on growth performance and body composition of Caspian Roach (Rutilus caspicus) fingerling. Four experimental diets were formulated to contain protein levels of 30, 35, 40, and 45%. Triplicate groups of 300 Roach (Average weight, 2.65±0.17g) were stocked in 100L-fiberglass tanks (25 fish/tank) and were fed based on 3% of their biomass for 57 days. The results showed that weight gain (WG%), specific growth rate (SGR), food conversion ratio (FCR), condition factor (CF) and survival (SR%) were not affected by dietary protein level but the protein efficiency ratio of protein levels containing 30 and 35% CP was significantly higher than other dietary treatments (p<0.05).The body compositions were affected by dietary protein levels. Body protein significantly decreased with increasing dietary protein levels but body lipid increased when protein increased to 40% level. The results of the present study indicated that growth enhancement of fish was not significant when the diets protein levels were increased from 30 to 45%, but fish fed a diet containing 30% CP had greater protein efficiency values when compared to those fed with other diets.
E. Kiani, A. Noorollah Noorivandi, A. R. Ommani, T. Maghsoodi,
Volume 23, Issue 6 (11-2021)
Abstract
The main purpose of this study was to identify strategies for adapting agricultural cooperatives to learning organization. Agricultural cooperatives are business organizations that fully examine all the economic, democratic and social dimensions of poverty reduction in rural areas simultaneously. This research is an exploratory research that was conducted in two parts: qualitative and quantitative. In the qualitative section, by holding several meetings with experts and through the method of brainstorming, the opportunities, threats, strengths and weaknesses for the adapting of the agricultural cooperative organization to learning organization were identified. Then, using the SWOT model, strategies and action plan were identified for adapting the cooperative organization to the learning organization. Also, in the quantitative part of the research that was conducted among the members of the cooperatives, through Structural Equation Modeling (SEM), the role of the identified strategies was evaluated and the designed model was approved. Based on the results, the predictive positive effect of identified strategies include: SO1 (β= 0.73, t-Value= 4.23, P< 0.001), SO2 (β= 0.79, t-Value=4.71, P< 0.001), SO3 (β= 0.81, t-Value=5.08, P< 0.001) and SO4 (β= 0.82, t-Value= 4.97, P< 0.001) on Adapting Cooperatives to the Learning Organization (ACLO). The findings showed that (R2= 0.69) the identified strategies determined 69% of the variance in the ACLO.
M. Alizadeh, A. R. Ommani, A. Noorollah Noorivandi, T. Maghsoodi,
Volume 24, Issue 1 (1-2022)
Abstract
The purpose of this study was to identify determinants of Eco-Innovations (EI) in agricultural production cooperatives in Iran. Qualitative and quantitative methods were applied to the research. The qualitative section included semi-structured interviews, face-to-face interviews, and brainstorming sessions, and the quantitative section included descriptive statistical and spatial and Bayesian probit models to estimate the model of research. SPSS and MATLAB software was used in this study. SPSS software was used to describe the variables, explain the types of EIs and their effects and comparison of adopters and non- adopters, and MATLAB software was used for the estimation of the model. The data of 300 members of agricultural production cooperatives in Khouzestan Province, Iran, were collected based on random sampling, in 2020 summer. The research examined the different types of EIs. For comparison of adopter and non-adopter characteristics, a t-test and Mann-Whitney test (MW) were used. The results of the t-test showed that there was a significant difference between age, income, crop yield, and farm size for adopters and non-adopters of EI. The Mann Whitney U test (MW) showed significant difference between farmers’ education level, EI awareness, attitude toward EI, EI knowledge, willingness to creativity, being risk oriented, and access to information of adopters and non-adopters of EI. Based on the results obtained from the spatial models, with a probability of 99%, both models were significant. Based on the results of the estimation of spatial models, the independent variables and the spatial autoregressive coefficient had significant role on adoption of EI. For practical implications, it can be said that cooperative members, when adopting the EIs, can use the proposed model that is appropriate to their field of work. This study conducted a critical review before specifically recommending how cooperatives become eco-innovators.