• 한국작물학회지
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• 제66권1호
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• pp.8-17
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• 2021

자포니카 벼의 저온 스트레스 내성 증진을 위하여, RIL 계통을 이용하여 저온 스트레스 내성 QTL을 탐색하였다. 이를 통하여 (1) 5, 9번 염색체에서 저온발아에 관련한 '기호벼' 유래 QTL, qLTG5와 qLTG9를 확인하였으며, 7, 9번 염색체에서 저온 발아속도에 관련한 '밀양23호' 및 '기호벼' 유래 QTL, qOGCV7, qOGCV9를 확인하였다. (2) Duncan 검정결과, 그룹VII [qLTG5+qLTG9 (qOGCV9)], 그룹VIII [qLTG5+qOGCV7+qLTG9 (qOGCV9)]의 계통들이 저온 스트레스에 내성이 있는 것으로 확인 되었다. (3) 최근 발표된 RIL 집단 담수내성 계통과 비교한 결과, 저온 스트레스에도 내성이 있으면서 담수발아에도 내성이 있는 것으로 확인된 총 2개의 유망 유전자원을 선발하였다. 본 연구의 결과를 통해 저온 및 혐기 관련 QTL의 집적은 벼의 저온에서의 발아 및 초기 입모율을 높여 저온스트레스 내성 개선에 도움이 되는 것으로 판단 되었으며, 선발된 유망 계통은 향후 직파재배 품종 육성에 유용한 유전자원으로 활용되어 직파재배의 안정성 증대에 기여할 것으로 기대된다.

• 한국작물학회:학술대회논문집
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• 한국작물학회 2022년도 추계학술대회
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• pp.25-25
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• 2022

Drought becomes frequent and severe because of continuous global warming, leading to a significant loss of crop yield. In soybean (Glycine max [L.]), most of quantitative trait loci (QTLs) analyses for drought tolerance have conducted by investigating yield changes under water-restricted conditions at the reproductive stages. More recently, the necessity of QTL studies to use physiological indices responding to drought at the early growth stages besides the reproductive ones has arisen due to the unpredictable and prevalent occurrence of drought throughout the soybean growing season. In this study, we thus identified QTLs conferring wilting scores and moisture contents of soybean subjected to drought stress in the early vegetative stage using an recombinant inbred line (RIL) population derived from a cross between Taekwang (drought-sensitive) and SS2-2 (drought-tolerant). For the two traits, the same major QTL was located on chromosome 10, accounting for up to 11.5% of phenotypic variance explained with LOD score of 12.5. This QTL overlaps with a reported QTL for the limited transpiration trait in soybean and harbors an ortholog of the Arabidopsis ABA and drought-induced RING-D UF1117 gene. Meanwhile, one of important features of plant drought tolerance is their ability to limit transpiration rates under high vapor pressure deficiency in response to mitigate water loss. However, monitoring their transpiration rates is time-consuming and laborious. Therefore, only a few population-level studies regarding transpiration rates under the drought condition have been reported so far. Via employing an Arduino-based platform, for the reasons addressed, we are measuring and recording total pot weights of soybean plants every hour from the 1^st day after water restriction to the days when the half of the RILs exhibited permanent tissue damage in at least one trifoliate. Gradual decrease in moisture of soil in pots as time passes refers increase in the severity of drought stress. By tracking changes in the total pot weights of soybean plants, we will infer transpiration rates of the mapping parents and their RILs according to different levels of VPD and drought stress. The profile of transpiration rates from different levels of severity in the stresses facilitates a better understanding of relationship between transpiration-related features, such as limited maximum transpiration rates, to water saving performances, as well as those to other drought-responsive phenotypes. Our findings will provide primary insights on drought tolerance mechanisms in soybean and useful resources for improvement of soybean varieties tolerant to drought stress.