Journal of Food, Agriculture and Environment

Numerical evaluation of local and exotic maize genotypes in arid conditions

Author(s):

Rao Wali Muhammad ^1*, Rukhsana Anjum ¹, Shoib Liaqat ², Abdul Qayyum ², Waqas Malik ², Naveed Murtza ², Mumtaz Hussain ¹, Jahangir Shah ¹, Samiya Mehmood Khan ³, Bashir Ahmad ¹, Sajad Ahmad Rao ³, Etrat Noor ²

Recieved Date: 2011-09-09, Accepted Date: 2012-01-04

Abstract:

To identify the major parameters which account for variation among hundred genotypes of maize (Zea mays L.), they were studied using single linkage cluster analysis (SLCA) and principle component analysis (PCA). Fourteen characters were studied. The first four components, with eigen values >1 contributed 74.46% of the variability among the genotypes. The first PC was more related to four characters (DE, DT, DM and TL) where as the second PC relates to two characters (C/P and 1000-KW). The third PC exhibited positive effect for seven parameters (CL, K/R, DE, DM, 1000-KW, K/C and G/P) but fourth PC was positive to seven characters (TB, CL, TL, 1000-KW, CH, K/R and K/C). Highest estimates of heritability were found in K/C (0.996), CH (0.994). Values of genetic advance ranged between 170.93 for K/C and 3.07 for DE. Greater magnitude of broad sense heritability coupled with higher genetic advance in characters under study provided the evidence that these plant characters were under the control of additive genetic effects. Indicating that selection should lead to a fast genetic improvement of the material. Clusters with superior agronomic types identified, may be exploited for genetic potential to transfer the desirable genes to improve yield potential of the maize crop.

Keywords:

Heritability, genotypic correlations, principle component analysis, Zea mays L.

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Journal: Journal of Food, Agriculture and Environment
Year: 2012
Volume: 10
Issue: 1
Category: Agriculture
Pages: 624-630

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