• 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)
Mohamed, A., Darwish, D., El-Karamity, A., Al-Ashmoony, M., Tantawy, A. (2020). Multivariate Analysis of Maize Inbred Lines under Normal and Stressed Watering Regimes. Journal of Plant Production, 11(4), 355-361. doi: 10.21608/jpp.2020.95637
A. M. El. Mohamed; D. S. Darwish; A. El. El-Karamity; M. S. Al-Ashmoony; A. A. Tantawy. "Multivariate Analysis of Maize Inbred Lines under Normal and Stressed Watering Regimes". Journal of Plant Production, 11, 4, 2020, 355-361. doi: 10.21608/jpp.2020.95637
Mohamed, A., Darwish, D., El-Karamity, A., Al-Ashmoony, M., Tantawy, A. (2020). 'Multivariate Analysis of Maize Inbred Lines under Normal and Stressed Watering Regimes', Journal of Plant Production, 11(4), pp. 355-361. doi: 10.21608/jpp.2020.95637
Mohamed, A., Darwish, D., El-Karamity, A., Al-Ashmoony, M., Tantawy, A. Multivariate Analysis of Maize Inbred Lines under Normal and Stressed Watering Regimes. Journal of Plant Production, 2020; 11(4): 355-361. doi: 10.21608/jpp.2020.95637

Multivariate Analysis of Maize Inbred Lines under Normal and Stressed Watering Regimes

Article 10, Volume 11, Issue 4, April 2020, Page 355-361  XML PDF (785.21 K)
Document Type: Original Article
DOI: 10.21608/jpp.2020.95637
View on SCiNiTO View on SCiNiTO
Authors
A. M. El. Mohamed email orcid 1; D. S. Darwish2; A. El. El-Karamity3; M. S. Al-Ashmoony3; A. A. Tantawy3
1Agronomy Department, Faculty of Agriculture, Minia University, El-Minia
2Agronomy Department, Faculty of Agriculture, Cairo University, Giza 12613, Egypt.
3Agronomy Department, Faculty of Agriculture, Minia University, El-Minia, 61517, Egypt.
Abstract
Fifty S3 lines along to ten S10 of ARC maize inbreds were evaluated under normal and stressed watering regimes to explore their potentiality by using cluster and principal components analyses. Cluster analysis grouped the inbred lines under each of both conditions into three groups as lower (LP), medium (MP) and higher (HP) performed groups. The grouping of the investigated inbreds using their performance under normal regimes is conducted on flowering dates and grain yield attributes. However, the screening process of inbreds grown under stressed watering regime by cluster analysis greatly considered the level of tolerance/susceptibility in addition to flowering and grain yield. The extent of variation proved that there opportunities to upgrade the ASI, proline content, drought susceptibility and tolerance of higher performed inbreds. The most of tested lines are common between LP, MP and HP groups under both regimes which pointed out that effective selection could be expected either practiced under normal or stressed environments. Principal components analysis proved that drought stress tolerance index playing a great role with yield and yield components under either normal or stress conditions which considers it as the main factor contributing the higher value from total variations. The interrelationships among the traits within clustered groups are variable with common significantly positive correlation between grain yield and drought tolerance. Cluster analysis seems to be effective for classifying the maize inbred lines during the early generation of development. However, the per se distinct lines need to be reliable as components maize hybrid via testing GCA.
Keywords
Maize inbred; Cluster analysis; Principal components analysis; Drought stress
Statistics
Article View: 216
PDF Download: 411
Home | Glossary | News | Aims and Scope | Sitemap
Top Top

Journal Management System. Designed by NotionWave.