Large-Scale, High-Throughput Phenotyping of the Postharvest Storage Performance of ‘Rustenburg’ Navel Oranges and the Development of Shelf-Life Prediction Models

We conducted a large-scale, high-throughput phenotyping analysis of the effects of various pre-harvest and postharvest features on the quality of ‘Rustenburg’ navel oranges, in order to develop shelf-life prediction models to enable the use of the First Expired, First Out logistics strategy. The exa...

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Detalles Bibliográficos
Autores principales: Owoyemi, Abiola, Porat, Ron, Lichter, Amnon, Doron-Faigenboim, Adi, Jovani, Omri, Koenigstein, Noam, Salzer, Yael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9266293/
https://www.ncbi.nlm.nih.gov/pubmed/35804656
http://dx.doi.org/10.3390/foods11131840

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9266293/
https://www.ncbi.nlm.nih.gov/pubmed/35804656
http://dx.doi.org/10.3390/foods11131840

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