• 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
Egyptian Journal of Agricultural Research
arrow Articles in Press
arrow Current Issue
Journal Archive
Volume Volume 103 (2025)
Volume Volume 102 (2024)
Volume Volume 101 (2023)
Volume Volume 100 (2022)
Volume Volume 99 (2021)
Volume Volume 98 (2020)
Volume Volume 97 (2019)
Volume Volume 96 (2018)
Volume Volume 95 (2017)
Volume Volume 94 (2016)
Volume Volume 93 (2015)
Volume Volume 92 (2014)
Volume Volume 91 (2013)
Volume Volume 90 (2012)
Volume Volume 89 (2011)
Volume Volume 88 (2010)
Volume Volume 87 (2009)
Issue Issue 4
Issue Issue 3
Issue Issue 2
Issue Issue 1
Volume Volume 86 (2008)
Volume Volume 85 (2007)
Volume Volume 84 (2006)
Volume Volume 83 (2005)
Volume Volume 82 (2004)
Volume Volume 81 (2003)
Volume Volume 80 (2002)
Volume Volume 79 (2001)
Volume Volume 78 (2000)
Volume Volume 77 (1999)
Volume Volume 76 (1998)
Volume Volume 75 (1997)
Volume Volume 74 (1996)
Volume Volume 73 (1995)
Volume Volume 72 (1994)
EL-ADLY, H., EISSA, A., KHALEFA, H. (2009). APPLICATION OF A GEOMETRICAL MODEL FOR YIELD AND ITS COMPONENTS OF SOME COTTON GENOTYPES (G.barbadense L.). Egyptian Journal of Agricultural Research, 87(1), 171-185. doi: 10.21608/ejar.2009.193105
HASSAN H. M. EL-ADLY; ANWAR E. M. EISSA; HOSUN S. KHALEFA. "APPLICATION OF A GEOMETRICAL MODEL FOR YIELD AND ITS COMPONENTS OF SOME COTTON GENOTYPES (G.barbadense L.)". Egyptian Journal of Agricultural Research, 87, 1, 2009, 171-185. doi: 10.21608/ejar.2009.193105
EL-ADLY, H., EISSA, A., KHALEFA, H. (2009). 'APPLICATION OF A GEOMETRICAL MODEL FOR YIELD AND ITS COMPONENTS OF SOME COTTON GENOTYPES (G.barbadense L.)', Egyptian Journal of Agricultural Research, 87(1), pp. 171-185. doi: 10.21608/ejar.2009.193105
EL-ADLY, H., EISSA, A., KHALEFA, H. APPLICATION OF A GEOMETRICAL MODEL FOR YIELD AND ITS COMPONENTS OF SOME COTTON GENOTYPES (G.barbadense L.). Egyptian Journal of Agricultural Research, 2009; 87(1): 171-185. doi: 10.21608/ejar.2009.193105

APPLICATION OF A GEOMETRICAL MODEL FOR YIELD AND ITS COMPONENTS OF SOME COTTON GENOTYPES (G.barbadense L.)

Article 15, Volume 87, Issue 1, March 2009, Page 171-185  XML PDF (759.66 K)
Document Type: Original Article
DOI: 10.21608/ejar.2009.193105
View on SCiNiTO View on SCiNiTO
Authors
HASSAN H. M. EL-ADLY; ANWAR E. M. EISSA; HOSUN S. KHALEFA*
Cotton Research Institute, Agricultural Research center, Giza, Egypt.
Abstract
Yield model was developed for selected cotton genotypes (Gossypim barbadense. L). Yield was equated with the volume of rectangular parallelepiped having the following dimensions, bolls per square meter (X), seed per boll (Y) and seed cotton per seed (Z). Axis (Z) was divided into its two fractions, lint per seed (L/S) and weight per seed (SW/S). Meanwhile, lint yield was expressed by rectangular parallelepiped (XYL).Yield components of the selected genotypes were expressed as a percentage of Giza90 over five locations in Middle and Upper Egypt in 2007 season. The results showed that, bolls per square meter (X axis) had the greatest influence on yield. Breeder expects that the greatest gain in yield improvement should come from exerting selection pressure on this character. Concurrent selection pressure should also be placed on seeds per boll (Y) and seed cotton per seed (Z). Data were presented to illustrate a use of model to define the component of yield more susceptible to alteration to increase yield.
Statistics
Article View: 113
PDF Download: 293
Home | Glossary | News | Aims and Scope | Sitemap
Top Top

Journal Management System. Designed by NotionWave.