Geographical Variation in Nutritional Components of Peanut: Evidence From Multi-Region Production Areas
文献类型: 外文期刊
作者: Wang, Xueyan;Qi, Xin;Yue, Xiaofeng;Fang, Mengxue;Liu, Ao;Ma, Fei;Yu, Li;Wang, Xuefang;Wang, Du;Li, Peiwu;Zhang, Liangxiao
作者机构:
关键词: chemometrics;climatic;geographical variation;nutritional quality;peanut
期刊名称: FOOD FRONTIERS
ISSN:
年卷期: 2025 年 7 卷 1 期
页码:
收录情况: EI(2025版) ; ; ESCI(2025版)
摘要: As an important oilseed and food material, the nutritional quality of peanut is influenced by not only the variety but also place of origin. However, research on the geographical impact remains scarce. In this study, nine peanut cultivars were planted at eight sites to determine geographical effects on quality parameters, including fatty acids, sucrose, tocopherols, and phenolic compounds. General linear model analysis showed that the environment of the producing area was a major factor for nutritional indicators except oleic acid in high-oleic acid peanut varieties (eta 2: genetic 51.20%, environmental 37.46%). Geographic factors accounted for 58.20%, 68.41%, and 37.15% of the variance in total tocopherols, total phenolics, and sucrose, respectively, while the corresponding varietal effects were 57.83%, 71.06%, and 20.13%. Climate-nutrient interaction analysis revealed this was primarily attributed to low-temperature conditions promoting sucrose and phenolic compound biosynthesis (e.g., quercetin). In contrast, elevated temperature and humidity correlated with tocopherol accumulation. Furthermore, we delineated geographical characteristics: Hubei (high oleic acid/tocopherol) and Xinjiang (high sucrose/phenol). This study determined geography's impact, providing strategies for region-specific breeding to advance the industry.
分类号:
- 相关文献
作者其他论文 更多>>
-
Aspergillus Mycotoxins: The Major Food Contaminants
作者:Xue, Mengyao;Qu, Zheng;Moretti, Antonio;Logrieco, Antonio F.;Chu, Haiyan;Zhang, Qi;Sun, Changpo;Ren, Xianfeng;Cui, Li;Chen, Qinglin;An, Yi;Li, Chengjun;Zhong, Huan;Cao, Zhiyan;Wang, Feng;Sun, Yuebing;Wang, Lili;Hou, Jie;Zhang, Chenchen;Yang, Mengmeng;Ding, Yiming;Yao, Yanpo;Li, Peiwu;Zhu, Yong-Guan
关键词:climate change;control measures;crops;human health;mycotoxins
-
Authentication of Virgin Olive Oil Based on Untargeted Metabolomics and Chemical Markers
作者:Dou, Xinjing;N'Diaye, Katharina;El Harkaoui, Said;Willenberg, Ina;Ma, Fei;Zhang, Liangxiao;Li, Peiwu;Matthaeus, Bertrand
关键词:adulteration detection;camellia oil (CAO);markers;olive oil;untargeted metabolomics
-
Response Surface Methodology Optimization of Time-Resolved Fluorescence Immunoassay for Rapid Detection of AflatoxinB1 in Yellow Rice Wine
作者:Zhu, Mengjie;Wang, Dun;Wang, Du;Dong, Jing;Wang, Xue;Zhang, Qi;Xiao, Man
关键词:response surface design;rapid detection;aflatoxinB(1);yellow rice wine;time-resolved fluorescence immunoassay;optimization
-
Efficient and robust reverse genetics system for bovine rotavirus generation and its application for antiviral screening
作者:Qin, Song-Kang;Li, Kuan-Hao;Liu, Ben-Jin;Cao, Cun;Yu, De-Bin;Jiang, Zhi-Gang;Wang, Jun;Han, Yu-Xin;Wang, Fang;Qi, Ying-Lin;Sun, Chao;Yu, Li;Chang, Ji-Tao;Yin, Xin
关键词:Bovine rotavirus (BRV);Optimized reverse genetics system;Reporter virus;High-throughput screen;Small chemical compound
-
Identification and Characterization of Diaporthe citri as the Causal Agent of Melanose in Lemon in China
作者:Zhou, Yang;Yin, Liangfen;Han, Wei;Chaisiri, Chingchai;Liu, Xiangyu;Yue, Xiaofeng;Zhang, Qi;Luo, Chaoxi;Li, Peiwu
关键词:Citrus limon;melanose disease;Diaporthe citri;molecular identification;pathogenicity test
-
Research Advances on Identification and Detection Methods for Aflatoxigenic Fungi
作者:Shang, Qingyu;Zhang, Fuchao;Zhang, Qi;Zhang, Wen;Li, Hui;Li, Peiwu
关键词:aflatoxigenic fungi;biosensing;morphological identification;nucleic acid amplification;spectral analysis
-
Identification and fine-mapping of qNCLB3.04 resistant to Northern Corn Leaf Blight
作者:Wu, Junhua;Yang, Wencai;Shi, Xiangdong;Zhang, Bao;Jiang, Min;Qi, Xin;Ma, Jun;Jaqueth, Jennifer S.;Li, Bailin;Dai, Mingqiu;Peng, Yunling;Lai, Zhibing
关键词:(0-1-8)NCLB;Maize;qNCLB3.04;Resistance;Fine-mapping