Predicting the geospatial distribution of Chinese rice nutrient element in regional scale for the geographical origin—A case study on the traceability of Japonica rice

Predicting the geospatial distribution of Chinese rice nutrient element in regional scale for the geographical origin—A case study on the traceability of Japonica rice

Abstract Effective geographical origin discrimination of Chinese rice requires a large database of samples to ensure sufficient data for origin verification at a regional scale. In this study, environmental similarity was used to establish a spatial database of rice nutrient element, and then the va...

Full description

Saved in:
Bibliographic Details
Main Authors: Meiling Sheng, Chunlin Li, Weixing Zhang, Jing Nie, Hao Hu, Weidong Lou, Xunfei Deng, Shengzhi Shao, Xiaonan Lyu, Zhouqiao Ren, Karyne M. Rogers, Syed Abdul Wadood, Yongzhi Zhang, Yuwei Yuan
Format: Article
Language:English
Published: Wiley 2024-09-01
Series:Food Frontiers
Subjects:
environmental similarity
geographical origin
nutrient element
predictive model
regional scale
rice
Online Access:https://doi.org/10.1002/fft2.445
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1002/fft2.445

Similar Items