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NTIS 바로가기Korean journal of crop science = 韓國作物學會誌, v.62 no.4, 2017년, pp.333 - 345
김수정 (농촌진흥청 국립식량과학원 고령지농업연구소) , 손황배 (농촌진흥청 국립식량과학원 고령지농업연구소) , 이유영 (농촌진흥청 국립식량과학원 수확후이용과) , 박민우 (농업회사법인 현대종묘(주)) , 장동칠 (농촌진흥청 국립식량과학원 고령지농업연구소) , 권오근 (농촌진흥청 연구정책국 연구운영과) , 박영은 (농촌진흥청 국립식량과학원 고령지농업연구소) , 홍수영 (농촌진흥청 국립식량과학원 고령지농업연구소) , 서종택 (농촌진흥청 국립식량과학원 고령지농업연구소) , 남정환 (농촌진흥청 국립식량과학원 고령지농업연구소) , 정진철 (농촌진흥청 국립식량과학원 골든시드프로젝트(GSP) 사업단) , 구본철 (농촌진흥청 국립식량과학원 고령지농업연구소) , 김율호 (농촌진흥청 국립식량과학원 고령지농업연구소)
The potato tuber is known as a rich source of essential nutrients, used throughout the world. Although potato-breeding programs share some priorities, the major objective is to increase the genetic potential for yield through breeding or to eliminate hazards that reduce yield. Glycoalkaloids, which ...
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핵심어 | 질문 | 논문에서 추출한 답변 |
---|---|---|
감자란? | 감자(Solanum tuberosum L.)는 옥수수, 쌀, 밀과 함께 세계 4대 식량작물 중 하나로 전세계적으로 150여개국에서 재배되며(1.9천만 ha), 연간 3.8억톤이 생산되는 중요작물이다(FAOSTAT, 2017; Kim et al., 2017). | |
감자가 영양학적 가치가 높고, 건강 기능성 측면에서도 우수한 식품인 이유는? | 감자는 비타민 C를 비롯한 B1, B2, 니아신 등이 풍부하여 영양학적 가치가 높을 뿐만 아니라, 칼륨이나 식이섬유가 많아 건강 기능성 측면에서도 우수하다(Choi et al. 2008; RDA, 2014). | |
PGA 함량이 낮은 감자를 생산하기위해 수량성, 유전적 효과, 상호작용 등을 고려하여 최적의 재배환경을 선정해야하는 이유는? | 감자는 온도, 강수량, 일조시수 등의 환경적인 요인과 품종 등 유전적 요인에 따라 수량과 PGA 함량에서 다양한 변이를 보인다(Morris & Petermann, 1985; Grunenfelder et al., 2006; Kim et al. |
Bejarano, L., E. Mignolet, E. Devaux, E. Carrasco, and Y. Larondelle. 2000. Glycoalkaloids in potato tubers: the effect of variety and drought stress on the ${\alpha}$ -solanine and ${\alpha}$ -chaconine contents of potatoes. J. Sci. Food Agri. 80 : 2096-2100.
Choi, H. D., H. C. Lee, S. S. Kim, Y.S. Kim, H. T. Lim, and G. H. Ryu. 2008. Nutrient components and physicochemical properties of new domestic potato cultivars. Korean J. Food Sci. Technol. 40 : 382-388.
Dia, M, T. C. Wehner, R. Hassell, D. S. Price, G. E. Boyhan, S. Olson, S. King, A. R. Davis, and G. E. Tolla. 2016. Genotype $\times$ environment interaction and stability analysis for watermelon fruit yield in the United States. Crop Science 56 : 1645-1661.
Ezatolla, F., R. Mahnaz., M. J. Mohammad, and Z. Hassan. 2013. GGE Biplot analysis of genotypes $\times$ envrionemnt interaction in chick pea genoypes. Eur. J. E $\times$ p. Biol. 3 : 417-423.
Fehr, W. R. 1987. Principal of cultivar development. Vol. 1 Theory and technique. Macmillan Publishing Company, New York. U.S.A.
FAO/WHO (Food and Agriculture Organization and World Health Organization of the United Nations). 1999. Summary of evaluations performed by the joint FAO/WHO expert committee on food additives (JECFA). ILSI Press, Washington.
Food and Agriculture Organization of the United Nations Statistics (FAOSTAT). 2017. http://www. faostat.org/
Friedman, M. 2006. Potato glycoalkaloids and metabolites: Role in the plant and in the diet. J. Agri. Food Chem. 54 : 8655-8681.
Friedman, M. and G. McDonald. 1997. Potato glycoalkaloids: Chemistry, analysis, safety and plant physiology. Crit. Rev. Plant Sci. 16 : 55-132.
Gauch, H. G. 1988. Model selection and validation for yield trials with interaction. Biometrics 44 : 705-715.
Gauch, H. G. 1992. Statistical analysis of reginal yield trials: AMMI analysis of factorial designs, Elsevier, Amsterdam, The Netherlands
Gauch, H. G. and R. W. Zobel. 1997. Identifying megaenvironments and targeting genotypes. Crop Sci. 37 : 311-326.
Grunenfelder, L. 2005. Physiological studies of light-induced greening in fresh market potatoes. MS thesis, Washington State University, Pullman, USA.
Grunenfelder, L. A., L. O. Knowles, L. K. Hiller, and N. R. Knowles. 2006. Glycoalkaloid development during greening of fresh market potatoes (Solanum tuberosum L.). J. Agric. Food Chem. 54 : 5847-5854.
Kim, S. J. 2016. A Gift from God: Cooking with potatoes. Rural Development Administration, Gangneung, Korea. p. 69.
Kim, S. J., H. B. Sohn, M. Mekapogu, O.K. Kwon, S. Y. Hong, J. H. Nam, Y. I. Jin, D. C. Chang, J. T. Suh, J. C. Jeong, and Y. H. Kim. 2016. Quality characteristics influenced by different packaging materials in washed potatoes through an integrated washing system. Korean J. Food Sci. Technol. 48 : 247-255.
Kim, Y. H., G. H. Kim, H. R. Ji, Y. Y. Lee, H. M. Park, O. K. Kwon, S. J. Kim, W. B. Sohn, Y. I. Jin, S. Y. Hong, J. H. Nam, K. B. Kweon, J. T. Suh, and J. C. Jeong. 2014. Glycoalkaloids content influenced by tuber parts and storage period in major potato cultivars of Korea. Korean J. Breed. Sci. 46 :209-217.
Kroonenberg, P. M. 1995. Introduction to biplots for GE tables. Res. Rep. 51. Dep. of Mathematics, Univ. of Queensland, Brisbane, Australia.
Machado, R. M. D, M. C. F. Toledo, and L. C. Garcia. 2007. Effect of light and temperature on the formation of glycoalkaloids in potato tubers. Food Control 18 : 503-508.
Morris, S. C. and J. B. Petermann. 1985. Genetic and environmental effects of levels of glycoalkaloids in cultivars of potato (Solanum tuberosum L.). Food Chem. 18 : 271-282.
Nam E. Y., G. Y. Lee, and S. G. Yoon. 2004. Study on statistical analysis techniques for genotype and environment interaction analysis. Rural Development Administration report. Rural Development Administration. pp. 262-276.
National Climate Data Service System (NCDSS). 2016. http://sts.kma.go.kr. (in Korean)
Navabi, A., R. C. Yang, J. Helm, and D. M. Spawer. 2006. Can spring wheat growing mega-environments in the northern great plain be dissected for representative locations or niche-adapted genotypes? Crop Sci. 46 : 1107-1116.
Park, M. W. 2017. Study on effect of genotype and environment interaction on tomato fruit characteristics. Gyeongsang National Univ. Ph. D. thesis.
Park, M. W., Y. S. Chung, and S. H. Lee. 2016. Quality changes in tomato fruits caused by genotype and environment interactions. Horti. Sci. Technol. 35 : 361-372.
Piepho, H. P. 1997. Analyzing genotype-environment data by mixed models with multiplicative effects. Biometrics 53 : 761-766.
Pourdad, S. S. and M. J. Moghaddam. 2013. Study on seed yield stability of sunflower inbred lines through GGE biplot. Hella 58 : 19-28.
Purchase, J. L. 1997. Parametric analysis to described G $\times$ E interaction and yield stability in winter yield. Ph.D. Thesis. Department of Agronomy, Faculty of Agriculture, University of Orange Free State, Bloemfontein, South Africa. pp. 4-83.
Rosello, S., A. M. Adalid, J. Cebolla-Cornejo, and F. Nuez. 2010. Evaluation of the genotype, environment and their interaction on carotenoid and ascorbic acid accumulation in tomato germplasm. J. Sci. Food Agric. 91 : 1014-1021.
Reza, M., M. Armon, A. Shabani, and A. Daryaei. 2007. Identification of stability and adaptability in advanced durum genotypes using AMMI analysis. Asian J. Plant Sci. 6 : 1261-1268.
Rincon, F., B. Johnson, J. Crossa, and S. Taba. 1997. Identifying subsets of maize accessions by three-mode principal component analysis. Crop Sci. 37 : 1936-1943.
Rural Development Administration (RDA). 2016. Standard farming text -The potato. Rural Development Administration, Suwon, Korea. pp. 16-290.
Rural Development Administration (RDA). 2014. The Potato: Guidance of agricultural technology-31. Rural Development Administration, Suwon, Korea. pp. 24-120.
Sanford, L. L., K. L. Deahl, S. L. Sinden, and R. S. Kobayashi. 1995. Glycoalkaloid content in tubers of hybrid and backcross populations from a Solanum tuberosum ( $\times$ ) chacoense cross. Am. Potato J. 72 : 261-271.
Shim, K.B., S. H. Shin, J. Y. Shon, S .G. Kang, W. H. Yang, and S. G. Heu. 2015. Interpretation of genotype $\times$ environment interaction of sesame yield using GGE biplot analysis. Korean J. Crop Sci. 6 : 349-354.
Sneller, C. H., L. Kilgore-Norquest, and D. Dombek. 1997. Repeatability of yield stability statistics in soybean. Crop Sci. 37 : 383-390.
Tolessa, T. T., G. Keneni, T. Sefera, M. Jarso, and Y. Bekele. 2013. Genotype $\times$ environment interaction and performance stability for grain yield in field pea (Pisum sativum L.) genotypes. Int. J. Plant Breed. pp. 117-123
Vargas, M., J. Crossa, F. van Eeuwijk, K. D. Sayre, and M. Reynolds. 2001. Interpreting treatment $\times$ environment interaction in agronomy trials. Agron. J. 93 : 949-960.
Yan, W. 2001. GGE biplot : a window application for graphical analysis of multi-environmental data and other types of two-way data. Agron. J. 93 : 1111-1118.
Yan, W. and L. A. Hunt. 1998. Genotype by environment interaction and crop yield. Plant Breed. Rev. 16 : 135-178.
Yan, W. and L. A. Hunt, Q. Sheng, and Z. Szlavnies. 2000. Cultivar evaluation and mega-environment investigation based on GGE biplot. Crop Sci. 40 : 597-605.
Yan, W. and I. Rajcan. 2002. Biplot analysis of test sites and trait relations of soybean in Ontario. Crop Sci. 42:11-20.
Yan, W. and N. A. Tinker. 2006. Biplot analysis of multi-environment trial data: principles and application. Candian J. Plant Sci. 86 : 623-645.
Yan, W., M. S. Kang, B. M. S. Woods, and P. L. Cornelius. 2007. GGE Biplot vs. AMMI analysis of genotype-by-environment data. Crop Sci. 47 : 641-653.
Yang, C. I., S. J. Yang, Y. P. Jeoung, H. C. Choi, and Y. B. Shin. 2001. Genotype $\times$ environment interaction of rice yield in multi-location trials. Korean J. Crop Sci. 46 : 453-458.
Zobel, R. W., M. J. Wright, and H. G. Gauch. 1988. Statistical analysis of a yield trial. Agron. J. 80 : 388-393.
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