• 한국식품영양학회지
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• 제33권6호
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• pp.747-754
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• 2020

This study was conducted to evaluate the effect of high-oleate and normal-oleate peanut consumption on adipose mass and serum lipids in obese-induced C57BL/6J mice. After four weeks of the high-fat diet, mice were randomly divided into six groups: normal control (NC) diet, high-fat control (HFC) diet, high-oleate peanut-seed (HOPS) diet, normal-oleate peanut-seed (NOPS) diet, high-oleate peanut-oil (HOPO) diet, and olive-oil (OO) diet. After four weeks, all four experimental diet groups showed significantly lower body weight and epididymal fat weight than HFC group. In four experimental diet groups, serum triglycerides (TG), total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C) were significantly lower, and high-density lipoprotein cholesterol (HDL-C) was significantly higher than HFC group. TG was significantly decreased in HOPS group (92.1±1.2 mg/dL) than NOPS group (101.7±5.3 mg/dL, p<0.05). Similarly, LDL-C was significantly lower in HOPS group (66.1±2.8 mg/dL) than NOPS (76.9±1.5 mg/dL, p<0.05), on the other hand, HDL-C indicated a significant elevation in HOPS (50.5±2.1 mg/dL) than NOPS group (45.2±1.6 mg/dL, p<0.05). This result suggests that the consumption of high-oleate peanut has a favorable effect on the plasma lipid profile.

• 한국육종학회지
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• 제42권5호
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• pp.507-514
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• 2010

땅콩의 delta 12 fatty acid desaturase 유전자의 염기서열에서 고 올레인산을 함유하는 F435를 선발할 수 있는 PCR 기초 분자표지마커를 제작하였다. 본 연구는 포인트 뮤테이션(point mutation)의 결과로 나타나는 고 올레인산을 SNP 마커를 이용하여 하나의 염기서열차이(아데닌 삽입)를 이용하여 판별할 수 있는 분자마커이다. 제작한 마커가 고 올레인산 관련 특이 마커인지 확인하기 위하여, 일반 땅콩 9 품종과 F435를 PCR 후 아가로스 겔 상에서 확인하여 고 올레인산 특이 분자마커임을 확인하였고, 조평 ${\times}$ F435의 $F_2$ 교배조합 41 계통을 이용하여 분리양상을 확인하였다. 그 결과 지방산 분석을 하지 않고도 고 올레인산 함유 계통을 손쉽게 선발할수 있었다. 특히, 헤테로 형질을 나타내는 계통도 선발 가능하였다. 분자마커의 결과가 지방산 수준에서 일치하는지 확인하기 위해 NIR 및 가스크로마토그래피 분석결과를 알아보았데 고 올레인산 관련 분자표지마커가 NIR 및 가스크로마토그래피 분석결과와 일치하였다. 고 올레인산 땅콩의 유전적 차이를 이용하여 분자표지마커를 개발 함으로서 고 올레인산 땅콩의 정확한 선발과 품종을 개발하는데 있어서 세대단축의 효과를 가져올 것이다.

• 한국작물학회지
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• 제61권1호
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• pp.64-69
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• 2016

This study was conducted to develop a fast and efficient screening method to determine the quantity of fatty acid in peanut oil for high oleate breeding program. A total of 329 peanut samples were used in this study, 227 of which were considered in the calibration equation development and 102 were utilized for validation, using near infrared reflectance spectroscopy (NIRS). The NIRS equations for all the seven fatty acids had low standard error of calibration (SEC) values, while high R2 values of 0.983 and 0.991 were obtained for oleic and linoleic acids, respectively in the calibration equation. Furthermore, the predicted means of the two main fatty acids in the calibration equation were very similar to the means based on gas chromatography (GC) analysis, ranging from 36.7 to 77.1% for oleic acid and 7.1 to 42.7% for linoleic acid. Based on the standard error of prediction (SEP), bias values, and $R^2$ statistics, the NIRS fatty acid equations were accurately predicted the concentrations of oleic and linoleic acids of the validation sample set. These results suggest that NIRS equations of oleic and linoleic acid can be used as a rapid mass screening method for fatty acid content analysis in peanut breeding program.