Genetic analysis to determine the nature and magnitude of genetic variances and heritability estimates in maize (Zea mays L.)

Paper Details

Research Paper 01/11/2014
Views (145) Download (3)
current_issue_feature_image
publication_file

Genetic analysis to determine the nature and magnitude of genetic variances and heritability estimates in maize (Zea mays L.)

Mohammad Moradi
Int. J. Agron. Agri. Res.5( 5), 183-188, November 2014.
Certificate: IJAAR 2014 [Generate Certificate]

Abstract

The F1 hybrids along with the parents were evaluated in field for genetic analysis to determine the nature and magnitude of genetic variances and heritability estimates a in maize (Zea mays L.) in 2012 using RCBD with three replications. Results analysis of variance showed, based upon the results of tests, simple genetic model was fully adequate for analyzing the data set for all traits except plant height. It was observed that a and b components which are due to additive and dominant gene effects, respectively, were significant for all studied characteristics. Estimates of genetic components of variance according to Hayman (1954) revealed that the value of D is less than H1 and H2 indicating that dominant genetic effects for traits such as the days taken to tasseling, plant height, HI and grain yield per plant were more important than additive genetic effects. Thus the selection in later generations may be more effective. However, the values of H1 and H2 were < D denoting that genes showing dominance effect for 100 grain weight, number of rows per ear and number of kernels per row were less important than additive genes. The 100 grain weight, number of rows per ear and number of kernels per row were under the control of additive type of gene action and so the selection in early generations will be more effective for these traits which is additively controlled.

VIEWS 1

Asefa B, Mohammad H, Zelleke H. 2008. Assessment of water stress tolerance in different maize accessions at germination and early growth stage. Pak. J. Bot. 38, 1571-79.

Bello OB, Olaoye G. 2009. Combining ability for maize grain yield and other agronomic characters in typical southern guinea savanna ecology of Nigeria. Afr. J. Biotechnol. 8, 2518-22.

Chohan MS, Saleem M, Ahsan M, Asghar M. 2012. Genetic analysis of water stress tolerance and various morpho-physiological traits in Zea mays L. using graphical approach. Pak. J. Nutr. 11, 489-500.

Gerpacio VR, Pingali PL. 2007. Tropical and Subtropical Maize in Asia: Production systems, constraints and research priorities. CIMMYT, Mexico, ISBN: 978-970-648-155-9, p. 93.

Hayman BI. 1954. The theory and analysis of diallel crosses. Genetics 39, 789-809.

Irshad-Ul-Haq M, Ullah-Ajmal S, Munir M, Gulfaraz M. 2010. Gene action studies of different quantitative traits in maize. Pak. J. Bot. 42, 1021-30.

Jinks JL. (1954). The analysis of continuous variation in a diallel crosses of Nicotiana rustica L. varieties. Genetics. 39, 767-88.

Mather K, Jinks JL. 1982. Biometrical Genetics, the Study of Continous Variation. Chapman & Hall, USA.

Moradi M, Choukan R, Majidi HeravanE, Bihamta  MR.  2014.  Genetic  analysis  of  various morpho-physiological traits in Zea mays L. using graphical approach under normal and water stress conditions. Res. on Crops 15(1), 62-70.

Srdic J, Pajic Z, Drinic-Mladenovic S. 2007. Inheritance of maize grain yield components. Maydica 52, 261-64.

Steel RGD, Torrie JH, Discky DA. 1997. Principles and Procedures of Statistics : A Biometrical Approach, 3rd edn. McGraw Hill Book Co., New York.

Wattoo FM, Saleem M, Ahsan M, Sajjad M, Ali W. 2009. Genetic analysis for yield potential and quality traits in maize (Zea mays L.). American-Eurasian Journal of Agricultural Environment Scinces 6(6), 723-729.

Zare M, Choukan R, Majidi Heravan E, Bihamta MR, Ordookhani K. 2011. Gene action of some agronomic traits corn(Zea mays L.) using diallel cross. African Journal of Agricultural Research 6(3), 693-703.