Water Water deficit especially after heading is one of the most effective factors of wheat yield loss in Iran and across the world and identifying the physiological traits related to plant resilience is of great importance in screening for tolerant varieties. The objective of this study was to evaluate the variation in stem reserves accumulation capacity and its RELATIONSHIP with remobilization in some wheat cultivars. 22 wheat cultivars were cultivated in a split plot design with three replications, full irrigation and 40% of field capacity being main plots. The amount of accumulation and remobilization was estimated by measuring internodes weight and stem soluble carbohydrates content (WSC). Significant genotypic variation among cultivars was observed under both normal and drought conditions. Maximum accumulation was found in lower internodes followed by peduncle and penultimate using dry weight measurement method. In WSC measurement method, however, maximum accumulation was observed in penultimate followed by lower internodes and peduncle. Cultivars ranking based on accumulation was also different in two methods. Drought stress caused decline in internodes weight, WSC and yield and remobilization efficiency. The specific stem weight had the highest correlation with remobilization. Significant correlation was found between grain yield and remobilization, specific stem weight and WSC.

Purpose: Food security is a critical global challenge that is influenced by research and innovation in the field. Therefore, the objective of this study is to analyze the scientific output of developing countries in food security and examine its RELATIONSHIP with patents and Gross Domestic Product (GDP).Methodology: This applied research utilized the Scientometric approach. A total of 8,416 papers published between 1992-2023 in the field of food security by developing countries were included in the study using citation databases from Clarivate Analytics. Additionally, patent registrations from the WIPO database and GDP data from the World Bank were analyzed. Information was collected through note-taking, and the data was analyzed using Pearson's correlation coefficient.Findings: The findings reveal an upward trend in the publication and citation of scientific outputs related to food security in developing countries. China has higher numbers of papers, patents, GDP, and food production index compared to Iran, Japan, and South Korea. There is also a positive correlation observed between population and the number of papers, gross production and the number of papers, food production and the number of published papers, as well as the number of patents and papers citing scientific outputs of countries.Conclusion: These results highlight the significant RELATIONSHIP between increasing scientific output, GDP, the number of patents, and food security. Greater emphasis on food security contributes to enhanced scientific output, GDP, and innovation. Similarly, increasing scientific output, GDP, and innovation positively impact food security in countries.Value: This study emphasizes the importance of scientific outputs in driving technological advancements, innovations, and ultimately, ensuring food security in developing countries.

This study focuses on the investigation of intelligent form-finding and vibration analysis of a triangular polyhedral tensegrity that is enclosed within a sphere and subjected to external loads. The nonlinear dynamic equations of the system are derived using the Lagrangian approach and the finite element method. The proposed form-finding approach, which is based on a basic GENETIC algorithm, can determine regular or irregular tensegrity shapes without dimensional constraints. Stable tensegrity structures are generated from random configurations and based on defined constraints (nodes located on the sphere, parallelism, and area of upper and lower surfaces), and shape finding is performed using the fitness function of the GENETIC algorithm and multi-objective optimization goals. The GENETIC algorithm's efficacy in determining the shape of structures with unpredictable configurations is evaluated in two distinct scenarios: one involving a known connection matrix and the other involving fixed or random member positions (struts and cables). The shapes obtained from the algorithm suggested in this study are validated using the force density approach, and their vibration characteristics are examined. The findings of the comparative study demonstrate the efficacy of the proposed methodology in determining the vibrational behavior of tensegrity structures through the utilization of intelligent shape seeking techniques.

Recognition and understanding the GENETIC control of traits, combining ability and GENETIC structure are directly related to the success of breeding programs. For this purpose, a 7 × 7 one-way diallel design was conducted in a randomized complete block design with three replications. The measured traits were included plant height, height to the first capsule, number of days to 50% and 90% of flowering, number of capsules per plant, number of seeds per capsule, number of days to physiological ripening, number of branches, leaves number and length, 1000-seeds weight, capsule weight, length and width, chlorophyll a, b and total chlorophyll, biological andeconomic yields, harvest index, oil and protein percentage. Analysis of variance showed that there was a significant difference between genotypes and diallel analysis showed that the additive variance of all traits and dominant variance of all traits except height to the first fruit-bearing capsule were significant. The oltan cultivar was the best and Ardestan genotype was the worst genotype in terms of general combining ability. Sabzevar×TS-3 and Sirjan×Fars were the best hybrids in most traits. The general heritability was between 0.90 to 0.96 for biologic yield and number of branches, respectively and narrow heritability was between 0.36 to 0.91 for the number of branches and harvest index, respectively. The analysis of variance by Hayman method confirmed the results of Griffing analysis.

This study aimed to estimate the GENETIC parameters of body weight traits in Markhoz goats, using B-spline random regression models. The data used in this study included 19549 records collected during 29 years (1992-2021) in Markhoz goat Breeding Research Station, located in Sanandaj, Iran. The model used to analyze data included fixed effects (year of birth, sex, type of birth and age of dam) and random effects including direct additive GENETIC, maternal additive GENETIC, permanent environmental and maternal permanent environmental assuming homogeneous and heterogeneous residual variance during the time. Akaike (BIC) and Bayesian (BIC) information criteria were used to compare the models and bspq.4.4.4.4 was selected as the best model. The direct heritability values for birth, 3-month, 6-month, 9-month and 12-month weights were estimated to be 0.14, 0.16, 0.08, 0.28 and 0.26, respectively. GENETIC correlation between body weights at birth and 3-month, birth and 6-month, birth and 9-month, birth and 12-month, 3-month and 6-month, 3-month and 9-month, 3-month and 12-month, 6-months and 9-month and 9-month and 12-month were 0.22, 0.38, 0.21, 0.56, -0.26, 0.30, 0.62, 0.86 and 0.77, respectively. The highest phenotypic correlation was between the weight of 9-month and 12-month (0.82) and the lowest correlation was between birth weight and 3-month and 6-month (0.12). The results showed that the 9-month weight is a good criterion for selection in Markhoz goats.

Introduction: Ethical leadership is leadership focused on appropriate behavior through respect for ethics and values, as well as the rights and dignity of others. Ethical leadership can add value to businesses by motivating employees and fulfilling company values. Therefore, the present research was conducted with the aim of analyzing the RELATIONSHIP between ethical leadership and cooperative social responsibility and the moral climate of the organization. Material & Methods: The current research is applied in terms of purpose and descriptive and correlational in terms of data collection method. The statistical population of this research included all employees of Management and Science University (MSU) in Malaysia. Among them, 200 people were selected as the research sample using a simple random sampling method. A standard questionnaire was used to collect data. The data was analyzed by structural equation modeling method. Results: The results of statistical analysis showed that ethical leadership has a direct and positive effect on cooperative social responsibility and ethical climate. Also, moral climate has a direct and positive effect on cooperative social responsibility. At the same time, ethical leadership has an indirect and positive effect on cooperative social responsibility through the mediation of ethical climate. Conclusion: Ethical leadership can affect their social responsibility by inspiring employees to motivate and align with the company's values. The results of this research showed that ethical leadership leads to greater employee satisfaction and collaborative responsibility and leads to the formation of an ethical atmosphere in the organization

Introduction: Social responsibility from an ethical point of view includes the obligations and duties of natural and legal persons towards society and the environment. The moral behavior of people, like understanding of social responsibility, depends on their liberal ideology, beliefs and human values. Therefore, the aim of the current research is to study the RELATIONSHIP between liberalism and human values with the moral understanding of social responsibility. Material & Methods: The research method is applied in terms of purpose and descriptive-correlational survey. The statistical population includes the financial managers of the companies admitted to the stock exchange, and the questionnaire was randomly distributed among them and 110 questionnaires were received. The sampling method is random. The research tool is a questionnaire and multivariate regression using SPSS software was used to analyze the data. Results: The research results show that human values based on public interest have a significant and positive RELATIONSHIP with the moral understanding of social responsibility. But the thinking of liberalism does not have a meaningful RELATIONSHIP with the moral understanding of social responsibility. Conclusion: Based on the findings of this research, human values based on public interest can be considered as a tool to strengthen the moral behavior of company managers regarding corporate social responsibility. Also, improving the thinking of liberalism in managers can strengthen their social responsibility. In this case, the policy makers of Stock Exchange can direct the managers of the listed companies to comply more with the social responsibility of the company, through teaching human values and strengthening those values, as well as monitoring the implementation of ethical regulations

Verticillium dahliae is an economically important pathogen causing vascular wilt on more than 160 plant species. Most strains have a wide host range. Forty-five wild isolates of V. dahlia recovered from different woody and herbaceous plants throughout Iran. GENETIC diversity of the isolates was assessed through vegetative compatibility groups (VCGs) using nitrate non-utilizing (nit) mutants. Nit mutants were generated using water agar supplemented with 5-7% KClO3. Nit mutants from different isolates were used in all possible combinations. Three VC local groups were identified and designated as VCGA, VCGB and VCGC which correspond to VCG2B (88.8%) and VCG 2A (8.8%) and weakly to VCG2A (2.2%) Most of the isolates were assigned to VCG2B. The results indicated that GENETIC diversity of V. dahliae is very low and there were no RELATIONSHIP between VCGs and geographicalorig in of the isolates. Host specificity of V. dahliae using 18 isolates was determined on 11 different hosts plant species. Different plants reacted differently to the isolates and were divided into three groups: very sensitive (eggplant, pistachio, cotton and okra), semi-sensitive (sunflower, radish and rapeseed) and low sensitive (pepper, tomato, small radish and cabbage). Each plant species reacted differently to each isolate. Mint was less sensitive to the pathogen (5 isolates) than other plant species tested.

Using SNP markers information and genomic evaluation approach, predicting the GENETIC merit of individuals without phenotypic records is now possible. However, using high-density panels for genomic evaluation of all individuals is not economically feasible. To achieve high genomic prediction accuracy with reasonable price, it is possible to genotype a proportion of animals with high-density panels and the rest of animals with low-density panels then impute them to high-density genotypes. In this study, the effect of three low-density panels (1k, 2k and 4k), genotype imputation to 10k panel and the RELATIONSHIP between reference and validation populations on the accuracy of genomic predictions and also the correlation between the estimated breeding values using panels with different densities in simulated data were assessed. The low density panels genotypes were actually consisting of 10, 20 and 40 percent of 10k markers selected randomly and FImpute was used for genotype imputation. As a general trend, by increasing the density of markers, the correlation between the estimated breeding values was increased using different panels. So, the accuracy of genomic predictions was similar using 4k and 10k genotypes. Moreover, imputing 4k to 10k genotypes, did not improve the accuracy of genomic prediction. However, the accuracy of estimated breeding values was increased after imputation from 1k or 2k to 10k. The accuracy of imputation was decreased when the reference and validation populations were more distant.