Tang Chaochen, Xu Yi, Zhang Rong, Mo Xueying, Jiang Bingzhi, Wang Zhangying
Crops Research Institute, Guangdong Academy of Agricultural Sciences & Key Laboratory of Crop Genetic Improvement of Guangdong Province, Guangzhou 510640, China.
College of Agronomy and Biotechnology, China Agricultural University, Beijing 100193, China.
Food Chem X. 2024 Nov 15;24:102009. doi: 10.1016/j.fochx.2024.102009. eCollection 2024 Dec 30.
The potential for improving sweetpotato quality remains underutilized due to a lack of comprehensive quality data on germplasm resources. This study evaluated 296 core germplasms, revealing significant phenotypic diversity across 24 quality traits in both stem tips and roots. Landraces had higher sugar content in roots, while wild relatives showed increased total flavonoid and phenol contents. Accessions with red-orange flesh were rich in sugars and carotenoids, whereas those with purple flesh had higher dry matter, flavonoids, and phenols. The accessions were classified into three clusters: high sugars and carotenoids, high phenolic compounds, and high starch. A comprehensive quality scoring model identified SP286 and SP192 as superior for stem tips and roots, respectively. Near-infrared spectroscopy, combined with a random forest algorithm, enabled rapid screening of superior germplasm, achieving prediction accuracies of 97 % for stem tips and 98 % for roots. These findings offer valuable resources and high-throughput models for enhancing sweetpotato quality.
由于缺乏关于种质资源的全面质量数据，提高甘薯品质的潜力尚未得到充分利用。本研究评估了296份核心种质，揭示了茎尖和块根24个品质性状的显著表型多样性。地方品种的块根含糖量较高，而野生近缘种的总黄酮和酚类含量增加。橙红色果肉的种质富含糖分和类胡萝卜素，而紫色果肉的种质干物质、黄酮类化合物和酚类含量较高。这些种质被分为三个聚类：高糖和类胡萝卜素、高酚类化合物和高淀粉。一个综合质量评分模型确定SP286和SP192分别是茎尖和块根的优良种质。近红外光谱结合随机森林算法能够快速筛选优良种质，茎尖的预测准确率达到97%，块根的预测准确率达到98%。这些发现为提高甘薯品质提供了宝贵资源和高通量模型。
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