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D2 Statistical Analysis of Yield Contributing Traits in Maize (zea Mays L.) Inbreds

FMA Haydar
Department of Botany, University of Rajshahi, Rajshahi-6205, Bangladesh

NK Paul
Department of Botany, University of Rajshahi, Rajshahi-6205, Bangladesh

MA Khaleque
Department of Botany, University of Rajshahi, Rajshahi-6205, Bangladesh

Abstract/ Executive Summary:

Investigation was carried out to determine the genetic divergence in the 25 maize inbred lines. Analysis of variance revealed highly significant differences among all the inbreds. Inbreds were grouped into five clusters, indicating the presence of genetic diversity. The clusters I, IV and V had the highest number of inbreds (6). The maximum inter-cluster distance was observed between clusters I and III (19.279) and the highest intra-cluster distance was recorded in cluster III (0.243) and also wide range of variation was observed in cluster mean performance for the characters studied. Intercrossing among the inbreds belonging to clusters II and III was suggested to develop high yielding inbreds with desirable characters.

Keywords: Genetic divergence, Contributing traits cluster, Inbreds, Maize

Location: Department of Botany, University of Rajshahi, Bangladesh

Start Date: 00-11-2009

End Date: 00-04-2010

Program Area: Crop-Soil-Water Management

Commodity: Maize

Objectives:

To estimating the nature and magnitude of D² statistical analysis among 25 maize inbred lines.

Methodology:

The study was conducted during November, 2009 to April, 2010 at the experimental field of the Department of Botany, University of Rajshahi, Bangladesh. This study was a part of a long term maize inbred line development program conducted at the University mentioned above where near-homozygous inbred lines were developed from seven-generation single cross hybrid varieties as source population. The inbred lines were IL-1 to IL-25. Twenty five maize inbred lines were grown in a randomized block design with three replications during the growing season of 2009 - 2010. The seeds of each entry were sown on 25 November, 2009 in 5 m long one row with spacing of 0.1 × 0.3m between rows and hills, respectively. One plant was kept per hill after proper thinning. Recommended doses of fertilizers were applied. Necessary intercultural operations and irrigation were done during the crop period to ensure normal growth, development of the plants and properly to raise the crop uniformly. Bamboo stick support was given to the growing plants and allowed them to creep on a rope nets. Observations were recorded on whole plot basis for days to tasseling (DT), silking (DS) and maturity (DM). Ten randomly selected plants were used for recording observations on plant height (PH), ear height (EH), cob length (CL), cob diameter (CD), number of rows/cob (NRC), number of kernels/row (NKR), number of grains/cob (NGC) and grain yield/plant (GYP). The analysis was carried out by applying standard statistical techniques for analysis of variance to establish significance level among the inbreds as described by Singh and Choudhary (1985) and Steel and Torrie (1980). Data were subjected to principal component and Mahalanobis (1936) D² statistical analysis extended by Rao (1952) using GENSTAT-5 computing soft wares.

Source of Information: Bangladesh J. Bot. 44(4): 629-634, 2015 (December)

Article Link (Online Journal):

Funding Source:

Budget:

Total Budget (Tk.) :

Achievement/Findings:

High variability existed among the studied maize inbreds. The selection of parents for further breeding programme to the maximum divergent cluster such as cluster I and cluster II, cluster I and cluster V, cluster I and cluster IV in the present study, which would exert high heterosis and wide variability in genetic architecture in subsequent generations. From this study it is evident that the clusters I and II were highly diverged. So, clusters I and II would be more suitable. The lines belonging to the distant clusters could be used in hybridization program for obtaining a wide spectrum of variation among the segregants.

Knowledge Management: Journal