Agricultural Research Management Information System

Home
Research Summary
Search
About Us
- ARMIS
- Brochure
Contact Us
Report
User Request
Data Input
Help
- Operation Manual
  - PDF
  - Video
- Program Area & Commodity
We have reached 37600 number of research entries at this moment.

- Logout

Research Detail

Home
Research
Detail

Statistical Analysis of Yield Components in the Genotypes of Wheat (triticum Aestivum L.)

FM Ali Haydar
Department of Botany, University of Rajshahi, Rajshahi, Bangladesh

Md Shabudden Ahamed
Department of Food Science and Technology, Institute of Biosciences, Rajshahi, Bangladesh

M Mohiuddin
Department of Botany, University of Rajshahi, Rajshahi, Bangladesh

AB Siddique
Department of Botany, University of Rajshahi, Rajshahi, Bangladesh

M Nasiruddin
Department of Botany, University of Rajshahi, Rajshahi, Bangladesh

Abstract/ Executive Summary:

Twenty-four genotypes of wheat have shown important variations in yield and other features that contribute to yield. The number of spikelets/spike and weight of 1000 grain showed an elevated genotypic coefficient of variability and heritability with a large proportion of mean genetic progress. The amount of tillers/m² with the amount of spikes/m² and the amount of tillers/plant with the amount of tillers/m² was discovered to be significantly positive. Number of spikes/m², number of spikelets / spike and weight of 1000 grain seemed to be the efficient yield enhancement criteria. The largest amounts of genotypes were found in clusters III and V (6). The maximum inter-cluster distance was observed between clusters III and V (18,689) and the largest intra-cluster distance was recorded in cluster I (2,847) and broad variation range was also noted for the characters studied in cluster mean results.

Keywords: Genetic variability, Correlation, Diversity, Cluster

Location: Biometrical Genetics Laboratory, Department of Botany, University of Rajshahi., Wheat Research Centre, Dinajpur., Bangladesh Agricultural Research Institute, Joydebpur, Gazipur and Wheat Research Centre, Shampur, Rajshahi.

Start Date: 00-00-2016

End Date: 00-00-2017

Program Area: Variety and Species

Commodity: Wheat

Objectives:

The present research was conducted to evaluate genetic diversity among different genotypes of wheat to compare them for association of morphological traits under water stress conditions and to identify near and far groups of genotypes for using them in suitable cluster.

Methodology:

The experiment was conducted during Rabi season of 2016- 2017 at Experimental Research Field of Islamic University, Kushtia, Bangladesh, and Soil pH ranged from 7.0-7.5. Genetically pure and physically healthy seeds of 24 diverse genotypes of wheat were collected from Biometrical Genetics Laboratory, Department of Botany, University of Rajshahi., Wheat Research Centre, Dinajpur., Bangladesh Agricultural Research Institute, Joydebpur, Gazipur and Wheat Research Centre, Shampur, Rajshahi. The experimental material consists of twenty four varieties of spring wheat Such as. Akbar, Ananda, Aghrani, BAW-1059, BAW-1064, Bijoy, Balaka, Barkat, Durum, Gourab, Inia, Kheri, Kanchan, Kalyansona, Pavon-76, Prodip, Protiva, Sufi, Seri-82, Sourav, Sonora-64, Sonalika, Shatabdi and Triticale. These genotypes were planted in the field according to RCBD with three replications. Recommended agronomic package and practices were applied to raise a healthy crop. There were three lines per genotype in each replication. Seeds were sown with the hand and to maintaining row to row distance of 25 cm, plant to plant distance of 15 cm and the replication to replication distance of 125 cm. Recommended doses of major nutrients such as N: P: K; 120:60:60. Normal cultural practices were followed. All other agronomic practices were kept uniform. Observations were recorded on ten randomly and competitive plants of each genotype from each replication for different quantitative spike characters at maturity stage viz. Number of tillers/plant; Number of fertile tillers/plant; Number of tillers/m²; Number of spikes/m²; Number of spikelets/spike; Number of grains/spike; 1000-grain weight (gm); Straw yield (ton/ha); Grain yield/plant; Grain yield (ton/ha); Data from five plants of each genotype were averaged replication wise and mean data was used for statistical analysis. The collected data were analyzed following the biometrical techniques of analysis as developed by Mather [9] based on mathematical model of Fisher [10]. The analysis of variance and covariance for all above mentioned traits were preformed following Steel and Torrie [11]. Correlation matrix was prepared using formulae developed by Kwon and Torrie [12]. Genotypic and phenotypic variance, genotypic coefficient of variation and phenotypic coefficient of variation were estimated as suggested by Singh and Chaudhary [13]. Broad sense heritability was calculated as suggested by Johnson et al. [14], genetic advance (GA) and genetic advance as percent of mean (GA%) were calculated by Johnson et al. [14] and Hanson et al. [15]. Genotypic and phenotypic covariances were estimated according to the formulae suggested by Singh and Chaudhaury [13]. Genotypic correlation coefficients were calculated using the formulae suggested by Miller et al. [16]. Multivariate analysis was done based on Mahalanobis analysis, D²-statistics [17] using GENSTAT-5 computing software.

Source of Information: International Journal of Biology Research, Volume 4; Issue 3; July 2019; Page No. 26-30

Article Link (Online Journal):

Funding Source:

Budget:

Total Budget (Tk.) :

Achievement/Findings:

The largest amounts of genotypes were found in clusters III and V (6). The maximum inter-cluster distance was observed between clusters III and V (18,689) and the largest intra-cluster distance was recorded in cluster I (2,847) and broad variation range was also noted for the characters studied in cluster mean results.

Knowledge Management: Journal