• Proceedings of the Korean Society of Crop Science Conference
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• 2022.10a
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• pp.231-231
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• 2022

The GASA protein (Gibberellic acid-stimulated Arabidopsis) are family of small cysteine-rich peptides found in plants. These GASA gene family mainly involved in biotic/abiotic stress responses and plant development. Despite being present in a wide plant species, their action and functions still remain unclear. In this study, using the in-silico analysis method we identified 41 GASA genes in peanuts (Arachis hypogaea L.). Based on the phylogenetic analysis 41 GASA genes are classified in the four major clusters and subclades. Mainly, clusters IV and III comprise the majority of GASA genes 15 and 11 genes respectively, followed by cluster I and cluster II with 9 and 6 genes respectively. Additionally, based on in-silico analysis we predicted the post-transcriptional and post-translational changes of GASA proteins under abiotic stresses such as drought and salt stress would aid our understanding of the regulatory mechanisms. Hence, a further study is planned to evaluate the expression of these GASA genes under stress in different plant tissues to elucidate the possible functional role of GASA genes in peanut plants. These findings might offer insightful data for peanut advancement.

• Plant Breeding and Biotechnology
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• v.6 no.4
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• pp.321-336
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• 2018

Sesame (Sesamum indicum L.) is an important oilseed crop grown in tropical and subtropical areas. The objective of this study was to investigate the genetic relationships among 129 sesame landraces and cultivars using simple sequence repeat (SSR) markers. Out of 70 SSRs, 23 were found to be informative and produced 157 alleles. The number of alleles per locus ranged from 3 - 14, whereas polymorphic information content ranged from 0.33 - 0.86. A distance-based phylogenetic analysis revealed two major and six minor clusters. The population structure analysis using a Bayesian model-based program in STRUCTURE 2.3.4 divided 129 sesame accessions into three major populations (K = 3). Based on pairwise comparison estimates, Pop1 was observed to be genetically close to Pop2 with $F_{ST}$ value of 0.15, while Pop2 and Pop3 were genetically closest with $F_{ST}$ value of 0.08. Analysis of molecular variance revealed a high percentage of variability among individuals within populations (85.84%) than among the populations (14.16%). Similarly, a high variance was observed among the individuals within the country of origins (90.45%) than between the countries of origins. The grouping of genotypes in clusters was not related to their geographic origin indicating considerable gene flow among sesame genotypes across the selected geographic regions. The SSR markers used in the present study were able to distinguish closely linked sesame genotypes, thereby showing their usefulness in assessing the potentially important source of genetic variation. These markers can be used for future sesame varietal classification, conservation, and other breeding purposes.

• Proceedings of the Korean Society of Crop Science Conference
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• 2003.05a
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• pp.55-55
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• 2003

• Korean Journal of Organic Agriculture
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• v.24 no.3
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• pp.369-383
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• 2016

Crop yield insurance program in Korea has rapidly grown not only in quantity but in quality for 15 years since it was introduced in 2001. Despite growth of Crop insurance, performance evaluation for crop yield insurance has not fully been evaluated at the farm, consumer and national level. The purpose of this study is to conduct the performance evaluation for crop yield insurance through estimating the effects of farm revenue stabilization and social welfare increase with three popular insurance items: apple, pear and sweet persimmon. Based on the analysis of social welfare effect, cost-benefit analysis of operating crop yield insurance was conducted at the national level. We found that crop yield insurance stabilizes farm revenue based on the estimated four risk indicators: Coefficient of Variation, Value at Risk, Certainty Equivalence, and Risk Premium. The result of cost-benefit analysis shows that crop yield insurance increases social net benefit by 44.1 billion won for the three items. As a result, crop yield insurance program has contributed remarkably on social welfare as well as farm management and its role will be more important in the future.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.44 no.2
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• pp.154-158
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• 1999

Volatile flavor compounds from perilla leaves were extracted and analyzed with different methods, head-space analysis (HS), simultaneous steam distillation and extraction (SDE) , and solvent extraction (SE), and to compare their efficiencies for quick analysis. Over 30 volatile compounds were isolated and 28 compounds were identified by GC/MSD. Major compound was perillaketone showing the compositions of which were 92% in SDE method, 86% in headspace analysis, and 62% in solvent extraction method. For quick evaluation of leaf flavor in perilla, it was desirable because the headspace analysis method had a shorter analyzing time and smaller sample amount than the other methods.

• Proceedings of the Korean Society of Crop Science Conference
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• 2022.10a
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• pp.248-248
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• 2022

• Proceedings of the Korean Society of Crop Science Conference
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• 2022.10a
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• pp.256-256
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• 2022

• Proceedings of the Korean Society of Crop Science Conference
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• 2019.09a
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• pp.169-169
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• 2019

• Proceedings of the Korean Society of Crop Science Conference
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• 2022.10a
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• pp.227-227
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• 2022

• KOREAN JOURNAL OF CROP SCIENCE
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• v.61 no.1
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• pp.1-8
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• 2016

The objective of this study was to evaluate quality properties, including amylopectin content, and texture analysis of brown rice and germinated brown rice cultivars in Korea for rice processing products. The amylopectin short chain content of germinated brown rice was significantly higher than that of brown rice. Texture analysis test showed that germinated brown rice Jinbo had the lowest hardness and toughness as well as and highest stickiness and adhesiveness. The correlation between degree of polymerization of amylopectin and texture analysis was also evaluated. In particular, germinated brown rice, short-chain amylopectin showed a negative correlation with hardness and toughness, whereas long-chain amylopectin showed a positive correlation with hardness, toughness, and adhesiveness. These results indicate that there is a relationship between degree of polymerization and texture analysis.