Genetic analysis for quantitative traits in maize using generation mean analysis
Other Title(s)
التحليل الوراثي للصفات الكمية في الذرة الصفراء باستخدام تحليل متوسطات الأجيال
Joint Authors
Sabri, Wisam Khalid
Husayn, Muhammad Ali
Source
Kufa Journal for Agricultural Science
Issue
Vol. 9, Issue 4 (31 Dec. 2017), pp.351-364, 14 p.
Publisher
University of Kufa Faculty of Agriculture
Publication Date
2017-12-31
Country of Publication
Iraq
No. of Pages
14
Main Subjects
Abstract EN
The choice of breeding procedure depend on the type and relative amount of genetic components which control the traits to be selected.
The objective of this study is determine some genetic parameters using generation mean analysis method, six generations (p1,p2 and F1,F2.BC1,and BC2)from crosses of maize (OH40X Un44052) and (IK8X HS).
The results showed significant differences among generations in plant height Number of Kernels row−1, 300 .kernel Weight and grain yield.
Most additive, dominance, additive ×additive× additive x dominance and dominance x dominance affect on the study traits, However, dominance values were more than additive values for all traits which justifies the production of hybrid varieties in maize .Broad sense heritability of all traits were higher than narrow sense in both crosses.
American Psychological Association (APA)
Husayn, Muhammad Ali& Sabri, Wisam Khalid. 2017. Genetic analysis for quantitative traits in maize using generation mean analysis. Kufa Journal for Agricultural Science،Vol. 9, no. 4, pp.351-364.
https://search.emarefa.net/detail/BIM-955462
Modern Language Association (MLA)
Husayn, Muhammad Ali& Sabri, Wisam Khalid. Genetic analysis for quantitative traits in maize using generation mean analysis. Kufa Journal for Agricultural Science Vol. 9, no. 4 (2017), pp.351-364.
https://search.emarefa.net/detail/BIM-955462
American Medical Association (AMA)
Husayn, Muhammad Ali& Sabri, Wisam Khalid. Genetic analysis for quantitative traits in maize using generation mean analysis. Kufa Journal for Agricultural Science. 2017. Vol. 9, no. 4, pp.351-364.
https://search.emarefa.net/detail/BIM-955462
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 361-363
Record ID
BIM-955462