• 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)
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)
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 28 (2003)
Volume Volume 27 (2002)
Volume Volume 26 (2001)
Volume Volume 25 (2000)
Abd EI-Maksoud,, M., EI-Diasty, Z., Kosba, Z., Okasha, A., Al-Ameer, M. (2004). SELECTION PROCEDURES IN IMPROVING ECONOMICAL TRAITS IN COTTON. Journal of Plant Production, 29(12), 6949-6960. doi: 10.21608/jpp.2004.238945
M. M. Abd EI-Maksoud,; Z. M. EI-Diasty; Z. A. Kosba; A. A. Okasha; M. A. Al-Ameer. "SELECTION PROCEDURES IN IMPROVING ECONOMICAL TRAITS IN COTTON". Journal of Plant Production, 29, 12, 2004, 6949-6960. doi: 10.21608/jpp.2004.238945
Abd EI-Maksoud,, M., EI-Diasty, Z., Kosba, Z., Okasha, A., Al-Ameer, M. (2004). 'SELECTION PROCEDURES IN IMPROVING ECONOMICAL TRAITS IN COTTON', Journal of Plant Production, 29(12), pp. 6949-6960. doi: 10.21608/jpp.2004.238945
Abd EI-Maksoud,, M., EI-Diasty, Z., Kosba, Z., Okasha, A., Al-Ameer, M. SELECTION PROCEDURES IN IMPROVING ECONOMICAL TRAITS IN COTTON. Journal of Plant Production, 2004; 29(12): 6949-6960. doi: 10.21608/jpp.2004.238945

SELECTION PROCEDURES IN IMPROVING ECONOMICAL TRAITS IN COTTON

Article 8, Volume 29, Issue 12, December 2004, Page 6949-6960  XML PDF (4.2 MB)
Document Type: Original Article
DOI: 10.21608/jpp.2004.238945
View on SCiNiTO View on SCiNiTO
Authors
M. M. Abd EI-Maksoud,1; Z. M. EI-Diasty1; Z. A. Kosba1; A. A. Okasha2; M. A. Al-Ameer2
1Dept. of Genetics, Faculty of Agric., Mansoura Univ., Egypt.
2Cotton Research Institute, Agriculture Research Center, Egypt.
Abstract
The purpose of this study is to investigate the relative efficiency of single~
seed descent, pedigree and bulk population selection procedures in improving
economical traits in cotton and in the same time maintaining genetic variation.The
genetic materials used in the present study included five cation varieties. These
varieties were Giza 45, Giza 85, Giza 88, TNB1, and karshanseky ( Kar.2 ). All these
varieties belong to Gossyp < /em>ium barbadens L. The different selection procedures were
practiced on three crosses [(Giza 88 X TNB1), (Giza 85 X TNB1) and (Giza 45 X
Kar.2)] in order to comparing the efficiency of these methods for improvement of
Egyptian cotton traits. The results could be summarized as follows:
 
Tests of significance of the mean squares cleared that the differences
among lines derived by pedigree procedure were significant for all the studied traits
except for fiber strength for. the lines derived from second cross (Giza 85 X TNB1).
Although the mean squares of lines derived frorrr first cross (Giza 88 X TNB1} and
third cross (Giza; 45 X Kar.2) by bulk population (BP) procedure wer.e significant in an
stodiedtraits, it was siqnificant in the cases of lint percentage %, boll weight, seed
index, lint index, fiben IEmgtl:l at 2~5% Span length, fiber flnerress and fiber strength
traits for the lines selectedl from the second cross (Giza 85 X TNB1). While, the
differences among lines derived b)l tine single seed descent procedure were not
significant for most of studied traits with respect tb·tI'rettrre-e populations.
 
Lines selected by the pedigree method (PO) exhibited a wide ranges for all
studied traits compared to the ranges of the bulk population selection method (BP)
and the single seed descent method (SSO) lines should the some trend~t for
number of the opening bolls/plant and uniformity ratio, which gave a wide rangeS-1ft-
the bulk population selection method (BP).                                                                              
 
The best ratio of superior lines over the mid-parents for mo~iie stu i
traits in the 1 st and 3rd crosses was detected in the pedigree selection procedure (PO)
and the bulk population selection procedure (BP). With respect to the cross (Giza 85
X TNB1) the percentage values of this parameter was low or equal to zero in the
populations derived by either SSO or PO procedures. This result indicated that the
bulk population procedure (BP) is more efficient in the improvement of most yield
component traits with respect to this cross.
 
The relative number of superior lines derived by each procedure than the
standard variety (Giza 88) in the three crosses recorded that the PO procedure is
more efficient in the improvement most as traits with respect to, the first cross (Giza
88 X TNB1). On the other hand, BP procedure exhibited superiority over the other
procedures in the improving lint yield/plant and seed cotton ield/plant.
 
Highly significant values of genotypic variance (0 g) were detected in the
pedigree selection procedure (PO) than in the bulk population selection procedure
(BP) and single seed descent procedure (SSO), for most studied traits in the three
crosses.
Statistics
Article View: 65
PDF Download: 226
Home | Glossary | News | Aims and Scope | Sitemap
Top Top

Journal Management System. Designed by NotionWave.