• Home
  • Browse
    • Current Issue
    • By Issue
    • By Author
    • By Subject
    • Author Index
    • Keyword Index
  • Journal Info
    • About Journal
    • Aims and Scope
    • Editorial Board
    • Publication Ethics
    • Peer Review Process
  • Guide for Authors
  • Submit Manuscript
  • Contact Us
 
  • Login
  • Register
Home Articles List Article Information
  • Save Records
  • |
  • Printable Version
  • |
  • Recommend
  • |
  • How to cite Export to
    RIS EndNote BibTeX APA MLA Harvard Vancouver
  • |
  • Share Share
    CiteULike Mendeley Facebook Google LinkedIn Twitter
Journal of Plant Production
arrow Articles in Press
arrow Current Issue
Journal Archive
Volume Volume 16 (2025)
Volume Volume 15 (2024)
Volume Volume 14 (2023)
Volume Volume 13 (2022)
Volume Volume 12 (2021)
Volume Volume 11 (2020)
Issue Issue 12
Issue Issue 11
Issue Issue 10
Issue Issue 9
Issue Issue 8
Issue Issue 7
Issue Issue 6
Issue Issue 5
Issue Issue 4
Issue Issue 3
Issue Issue 2
Issue Issue 1
Volume Volume 10 (2019)
Volume Volume 9 (2018)
Volume Volume 8 (2017)
Volume Volume 7 (2016)
Volume Volume 6 (2015)
Volume Volume 5 (2014)
Volume Volume 4 (2013)
Volume Volume 3 (2012)
Volume Volume 2 (2011)
Volume Volume 1 (2010)
Volume Volume 34 (2009)
Volume Volume 33 (2008)
Volume Volume 32 (2007)
Volume Volume 31 (2006)
Volume Volume 30 (2005)
Volume Volume 29 (2004)
Volume Volume 28 (2003)
Volume Volume 27 (2002)
Volume Volume 26 (2001)
Volume Volume 25 (2000)
EL-Eryan, E. (2020). Improving Tommy Atkins Mango Resistance to Chilling Injury During Cold Storage and Marketing. Journal of Plant Production, 11(5), 473-483. doi: 10.21608/jpp.2020.102172
Eman E. EL-Eryan. "Improving Tommy Atkins Mango Resistance to Chilling Injury During Cold Storage and Marketing". Journal of Plant Production, 11, 5, 2020, 473-483. doi: 10.21608/jpp.2020.102172
EL-Eryan, E. (2020). 'Improving Tommy Atkins Mango Resistance to Chilling Injury During Cold Storage and Marketing', Journal of Plant Production, 11(5), pp. 473-483. doi: 10.21608/jpp.2020.102172
EL-Eryan, E. Improving Tommy Atkins Mango Resistance to Chilling Injury During Cold Storage and Marketing. Journal of Plant Production, 2020; 11(5): 473-483. doi: 10.21608/jpp.2020.102172

Improving Tommy Atkins Mango Resistance to Chilling Injury During Cold Storage and Marketing

Article 13, Volume 11, Issue 5, May 2020, Page 473-483  XML PDF (994.84 K)
Document Type: Original Article
DOI: 10.21608/jpp.2020.102172
View on SCiNiTO View on SCiNiTO
Author
Eman E. EL-Eryan email
Fruit Crops Handling Research Department, Horticulture Research Institute, Agricultural Research Center, Giza, Egypt
Abstract
This work aimed to decrease the chilling injury (Cl) and fruit softness which limiting the quality marketing of mangoes stored at 5 °C. Putrescine (Put) and brassinosteroids (BRs) with packing in (EPE) foam net were examined during seasons 2017 and 2018 for ‘Tommy Atkins’ mango fruits during cold storage. Mango fruits were immersing into putrescine (Put) 50 ppm or (BRs)10 ppm with or without packing in (EPE) foam net. The treated fruits were stored at (5±1°C and 90 – 95% RH) for 30 days. Significantly all applied treatments decreased fruits weight loss, chilling injury and respiration rate, whereas delayed the decrease of titratable acidity and vitamin C. They have a good potential in delaying the increment in total soluble solids and total sugars with maintaining fruit firmness, skin color, total phenol, high rodent of antioxidant capacity and prolonged shelf-life of fruits than the control. It was presumed that aqueous solution of brassinosteroids (BRs) with (EPE) foam net packing being the most effective treatments in decreasing chilling injury, maintaining fruit quality under cold stress and has a good potential on improved shelf life of mango
Keywords
Tommy Atkins Mango; Chilling injury (CI); Putrescine (Put); Brassinosteroids (BRs); (EPE) foam net packing
Statistics
Article View: 309
PDF Download: 594
Home | Glossary | News | Aims and Scope | Sitemap
Top Top

Journal Management System. Designed by NotionWave.