Crossmark

A statistical model for determining zearalenone contamination in rice (Oryza sativa L.) at harvest and its prediction under different climate change scenarios in South Korea

Crossref DOI link: https://doi.org/10.1186/s13765-019-0447-z

Published Online: 2019-07-26

Published Print: 2019-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Joo, Yongsung

Ok, Hyun Ee

Kim, Jihyun

Lee, Sang Yoo

Jang, Su Kyung

Park, Ki Hwan

Chun, Hyang Sook http://orcid.org/0000-0003-2522-4847
Funding

Funding for this research was provided by:

Korea Food and Drug Administration (10162KFDA995)

Chung-Ang University (Graduate Research Scholarship)
License Information

Text and Data Mining valid from 2019-07-26

Version of Record valid from 2019-07-26
More Information

Article History

Received: 11 March 2019

Accepted: 17 July 2019

First Online: 26 July 2019

Competing interests

: The authors declare that they have no competing interests.

Document is current

Any future updates will be listed below