ارزیابی و مقایسه عملکرد لاین امیدبخش کنجد 5- ۹۳ با رقم شاهد اولتان در مزارع زارعین منطقه مغان (original) (raw)
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Veterinary World, 2021
Background and Aim: Essential oils found frequently in plants are well known for their activities against bacteria, viruses, and fungi, and antioxidant properties. This study aimed to analyze egg yolk replacement by seed oils of Gossypium spp. (cotton), Balanites aegyptiaca (desert date), and Sesamum indicum (sesame) in semen extender, on ram sperm quality chilled at 4°C and frozen-thawed. Materials and Methods: Ejaculates were collected from adult rams and refrigerated at 4°C in a Tris-based extender containing 1.25%, 2.5%, 5%, and 10% of Gossypium spp., B. aegyptiaca, and S. indicum seed oils, to evaluate which were the two best extenders for comparison with BIOXcell, a commercial extender for deep freezing ram semen. Results: The data showed that sperm movements analyzed by the CASA system were faster in extenders supplemented with 2.5-5% of cottonseed oil and 1.25-10% of sesame oil, whereas in the extender containing B. aegyptiaca oil, all seminal parameters studied had the worst values. During the sperm-freezing process, 5% of cottonseed oil and 5% sesame seed oil were selected from the first study, with sesame oil reaching the best sperm quality. Thus, sperm motility and velocity were 44.14±13.99%, 24.44±12.6%, and 25.92±11.50%; and 20.26±9.56%, 8.76±6.38%, and 9.42±5.40%, respectively, for sesame oil, cottonseed oil, and BIOXcell. Conclusion: In summary, 2.5-10% of cottonseed oil and 1.25-10% of sesame seed oil can replace egg yolk in a Tris–egg yolk–based extender. Moreover, a Tris-based extender supplemented with 5% sesame seed oil could be an alternative for deep freezing ram semen, even though these results need to be confirmed with semen collected from rams with appropriate sexual rest.
A field trial was conducted at the farm Garhwal during the year 2013-14. Experiment was laid out in randomized complete block design with three replications. The experiment was conducted to find out the genotypes to be used as parents for mapping populations as well as in hybrid breeding programmes. Both cluster and principal component analysis showed an adequate grouping of genotypes according to phenotypical data. Principal component analysis revealed that the first five principal components were accounted for 82.31% of the total variation. Cluster analysis using Ward method classified the 19 genotypes into five clusters. The most important traits for strawberry genotypes grouping were fruit traits and plant architecture, which should be taken into account in the further strawberry genetic resource characterization and analysis of breeding material. The present study showed that strawberry genotypes possessed high level of genetic variation that was useful for breeding.
Sustainability, 2020
This paper aims to review the research achievements concerning sustainable sesame (Sesamum indicum L.) production and outlook on the production constraints and future perspectives for Myanmar sesame. Sesame is an economically and nutritionally important crop, and it is prized for oil. The global sesame market demand is rising with increasing health awareness. Meanwhile, there is high competition in the market among producing countries for an international trade. Smallholder farmers in developing countries cultivate sesame as a cash crop on marginal soils. The edible oilseed sectors currently face several challenges, including ones affecting sesame crops. For sustainable production of sesame, an integrated approach is needed to overcome these challenges and the critical limiting factors should be identified. In recent years, sesame genomic resources, including molecular markers, genetic maps, genome sequences, and online functional databases, are available for sesame genetic improvem...
2020
Field experiment was conducted to assess the extent of genetic diversity in sesame (Sesamum indicum L.) genotypes to identify superior genotypes for further improvement program. A total of forty-nine sesame genotypes were evaluated at Bako and Uke during 2018 cropping season. Data were recorded and analyzed by SAS software. The combined analysis showed significant differences among the genotypes for all traits. Cluster analysis grouped 49 sesame genotypes into four clusters. The highest inter-cluster distance occurred between clusters three and four while the lowest was between clusters one and two. Principal components analysis showed that about 76.1% of the total variations among sesame genotypes were contributed by the first four PCs with eigen values greater than unity. Estimation of phenotypic diversity based on qualitative traits showed seed color and flower color were the highest divergent traits followed by stem color and leaf color. Generally, the result of the study showed...