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.

 بیمارگر مهم اقتصادی مولد پژمردگی آوندی است که بیش از 160 گونه گیاهی را تحت تاثیر قرار می دهد. اغلب جدایه های این قارچ دامنه میزبانی وسیع دارند. چهل و پنج جدایه V. dahliae از میزبان متفاوت و مناطق مختلف ایران از میان گیاهان چوبی و زراعی مختلف بدست آمدند. تنوع ژنتیکی این جدایه ها براساس تعیین گروه های سازگاری رویشی انجام شد. سازگاری رویشی این جدایه ها با تلافی موتانت های نیت مکمل در کلیه ترکیبات ممکن مشخص گردید. سه گروه محلی سازگاری رویشی شناسایی و به صورت VCGB, VCGA و VCGC نشان داده شدند. همچنین گروه های سازگاری رویشی جدایه ها با استفاده از جدایه های مرجع بین المللی (OARDC) نیز تعیین گردید و دو گروه سازگاری رویشی در میان جدایه های مورد بررسی شامل VCG2B و VCG2A تعیین شد. 88% جدایه ها در VCG2B قرار گرفتند. نتایج به دست آمده نشان می دهد که تنوع ژنتیکی V. dahliae بسیار کم بوده و گروه های سازگاری رویشی با محدوده جغرافیایی ارتباط ندارند. تخصص میزبانی این قارچ نیز مورد بررسی قرار گرفت. آزمون های بیماری زایی در مورد 11 گونه گیاه میزبان مختلف با 18 جدایه قارچ انجام شد. گیاهان مختلف به جدایه های قارچ واکنش های متفاوت نشان دادند و از نظر حساسیت به قارچ به سه دسته تقسیم شدند: گیاهان با حساسیت زیاد (بادنجان، پنبه، پسته و بامیه)، گیاهان با حساسیت متوسط (آفتابگردان، ترب و کلزا)، گیاهان با حساسیت کم (گوجه فرنگی، فلفل، تربچه و کلم). جدایه های مختلف هم روی هر گیاه از نظر شدت بیماریزایی اختلاف معنی دار نشان دادند. گیاه نعناع که با 5 جدایه مایه زنی شده بود حساسیت کمتری نسبت به سایر میزبان های مورد آزمایش نشان داد.

To achieve favorable outcomes in breeding programs, selection of parents based on General Combining Ability (GCA) and Specific Combining Ability (SCA) is so important. In order to study the Genetic parameters, general and specific combining abilities and the type of disease resistance genes action against take-all disease in bread wheat, 6 wheat genotypes (729, 1622, 2109, 1528, 1546 and 1526) were crossed in one-way diallel cross. Seeds of F1 generations (F1s) and parents were planted in the research greenhouse of Vali-e-Asr University of Rafsanjan, Iran and take-all disease tolerance, stem and root dry weights, tiller number and elements such as manganese (Mn), zink (Zn), potassium (K) and iron (Fe) concentrations in plant tissue were measured. The results of Griffing analysis showed that general and specific combining abilities were significant for all traits except tiller number and K element. In terms of Take-all disease resistance, the best general combiners were 1622 and 729 genotypes, respectively. The best resistant hybrids were 2109×1546, 546×1528 and 1622×1526 that had the highest specific combining ability. Evaluation of Genetic parameters by Hayman method for disease index and disease score confirmed the results of Griffing analysis and showed that the dominance and over dominance of gene actions had the greatest importance in Genetic control of the resistance to take-all disease (T-41 isolation). Finally, due to low narrow sense heritability and low Genetic ratio in resistance to take-all disease, it can be concluded that selection for resistance to take-all disease does not respond well in early generations, so selection after purity, that done by bulk, single-seed descent and double haploid methods can be effective in wheat breeding.

مطالعه حاضر به بررسی مورفومتری و تنوع ژنتیکی 24 جمعیت از Hypnea می پردازد. تجزیه و تحلیل های آماری نشان داد که صفاتی مانند روش پیشروی انشعابات در زیستگاه، اندازه و موقعیت تتراسپورانژها نقش مهمی در تنوع درون گونه ای داشته است. در هر دو تجزیه و تحلیل های مورفومتری و تنوع ژنتیکی، در گروه بندی جمعیت ها، گونه ها به خوبی از هم جدا شده اند اما جمعیت ها به خوبی از هم جدا نشده اند. تجزیه و تحلیل ها تنوع ژنتیکی و برخی درجات آمیختگی و تبادل ژنتیکی را بین جمعیت های مورد مطالعه نشان دادند. متن کامل این مقاله به زبان انگلیسی می باشد. لطفا برای مشاهده متن کامل مقاله به بخش انگلیسی مراجعه فرمایید.لطفا برای مشاهده متن کامل این مقاله اینجا را کلیک کنید.