유전형과 재배환경의 상호작용에 따른 감자 수량성과 글리코알카로이드 함량 변화

• 영문명: Genotype x Environment Interaction and Stability Analysis for Potato Performance and Glycoalkaloid Content in Korea
• 발행기관: 한국작물학회
• 저자명: 김수정(Su Jeong Kim) 손황배(Hwang Bae Sohn) 이유영(Yu Young Lee) 박민우(Min Woo Park) 장동칠(Dong Chil Chang) 권오근(Oh Keun Kwon) 박영은(Young Eun Park) 홍수영(Su Young Hong) 서종택(Jong Taek Suh) 남정환(Jung Hwan Nam) 정진철(Jin Cheol Jeong) 구본철(Bon Cheol Koo) 김율호(Yul Ho Kim)
• 간행물 정보: 『한국작물학회지』제62권 제4호, 333~345쪽, 전체 13쪽
• 주제분류: 농수해양 > 기타농수해양
• 파일형태: PDF
• 발행일자: 2017.12.30

영문 초록

The potato tuber is known as a rich source of essential nutrients, used throughout the world. Although potatobreeding 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 are considered a serious hazard to human health, accumulate naturally in potatoes during growth, harvesting, transportation, and storage. Here, we used the AMMI (additive main effects and multiplicative interaction) and GGE (Genotype main effect and genotype by environment interaction) biplot model, to evaluate tuber yield stability and glycoalkaloid content in six potato cultivars across three locations during 2012/2013. The environment on tuber yield had the greatest effect and accounted for 33.0% of the total sum squares; genotypes accounted for 3.8% and G×E interaction accounted for 11.1% which is the nest highest contribution. Conversely, the genotype on glycoalkaloid had the greatest effect and accounted for 82.4% of the total sum squares), whereas environment and G×E effects on this trait accounted for only 0.4% and 3.7%, respectively. Furthermore, potato genotype ‘Superior’, which covers most of the cultivated area, exhibited high yield performance with stability. ‘Goun’, which showed lower glycoalkaloid content, was the most suitable and desirable genotype. Results showed that, while tuber yield was more affected by the environment, glycoalkaloid content was more dependent on genotype. Further, the use of the AMMI and GGE biplot model generated more interactive visuals, facilitated the identification of superior genotypes, and suggested decisions on a variety of recommendations for specific environments.

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키워드

AMMI GGE glycoalkaloid interaction potato yield