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Resveratrol is a natural polyphenolic compound, and breeding peanut varieties with high resveratrol content has become an emerging objective in peanut breeding. Establishing a non-destructive detection technology for resveratrol in peanut kernels is conducive to improving the efficiency of breeding selection. In this study, the resveratrol content in kernels of 200 peanut germplasms from Northeast China was determined by high-performance liquid chromatography(HPLC). The near-infrared prediction model for resveratrol content in peanut kernels was constructed via partial least squares(PLS) with a near-infrared spectrometer. After parameter optimization, the optimal coefficient of determination(R2) reached 0.931,2, and the root mean square error of cross-validation(RMSECV) was 0.066,4. Validation with the model test set showed that the prediction coefficient of determination(R2) was 0.962,3, and the root mean square error of prediction(RMSEP) was 0.057,2, which meets the criteria of an excellent model. Independent prediction was performed 7 days after model construction, and the predicted values were in good agreement with the measured values. The established model has high accuracy, excellent generalization ability, strong applicability and stability. It can also be applied to early-generation detection in peanut breeding, providing technical support for the selection and breeding of new high-quality and special-purpose of high resveratrol content peanut varieties.
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Basic Information:
DOI：10.14001/j.issn.1002-4093.2026.02.013
China Classification Code:S565.2
Citation Information:
[1]GAO Zhuo,XIONG Zhihao,WANG Tengjiao ,et al.Construction of Near-Infrared Detection Model for Resveratrol Content in Peanut Kernels[J].Journal of Peanut Science,2026,55(02):274-281.DOI:10.14001/j.issn.1002-4093.2026.02.013.
Fund Information:
辽宁省农业科学院科技创新专项(2026CY3525); 财政部和农业农村部：国家现代农业产业技术体系(CARS-13); 辽宁省种质创新藏粮于技专项计划(2023JH1/10200002)
2026-04-11
2026-04-11
2026-04-11