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Correlation and Path Coefficient Analysis of Mango (mangifera Indica L.)

D. A. N. Majumder
Manager
Plant Biotechnology Laboratory, BRAC Agricultural Research and Development Centre, Gazipur, Bangladesh.

L. Hassan
Professor
Dept. of Genetics and Plant Breeding, Bangladesh Agricultural University (BAU), Myrnensingh, Bangladesh.

M. A. Rahim
Professor
Dept of Horticulture, BAU, Mymensingh, Bangladesh.

M. A. Kabir
Associate Professor
Hajee Mohammad Danesh Science & Technology University (HMDSTU), Dinajpur-5200, Bangladesh.

Abstract/ Executive Summary:

Sixty diverse genotypes of mango were selected from the Germplasm Centre of BAU during December 2007-August 2009 to determine the genotypic and phenotypic correlation along with their direct and indirect effects through path coefficients analysis in mango as to estimate the contribution of most important characters towards yield. It appeared that in most of the cases, the genotypic correlation values were higher than their corresponding phenotypic values. This suggests that there were strong inherent relationship between the traits. Percent flowering shoot had significant positive correlation with inflorescence per shoot, percent perfect flower, percent initial fruit set, number of fruits per plant and fruit weight both at phenotypic and genotypic levels. Fruit yield is determined by some components. The residual effects of genetic and phenotypic path analysis were 0.209 and 0.385, respectively, revealed higher genetic variability and also proved lower percent of environmental influence on the selected ten characters. In genotypic path analysis, number of fruits per plant had the highest positive direct effect (0.899) on yield. Higher positive direct effects were also observed for the characters inflorescence per shoot (0.539), percent perfect flower (0.816), and percent initial fruit set (0.292), and fruit weight (0.324). Leaf area, percent flowering shoot, number of fruits per plant, and fruit length showed negative direct effects towards yield. In phenotypic path analysis, except percent flowering, shoot per plant and fruit length and other characters also exhibited similar trend on yield as genotypic path coefficient. In combination with correlation coefficient and path analysis, it was found that number of fruits per plant and percent perfect flower gave significant positive correlation coefficients with yield and also produce the high positive direct effect. Thus, it was clear that plant height, inflorescence per shoot, percent perfect flower, percent initial fruit set per inflorescence, and fruit weight are the major component of fruit yield in mango.

Keywords: Mango , Correlation, Path coefficients studies

Location: Germplasm Center, BAU

Start Date: 00-12-2007

End Date: 00-08-2009

Program Area: Variety and Species

Commodity: Mango

Objectives:

To determine the genotypic and phenotypic correlations along with their direct and indirect effects through path coefficient analysis in mango to determine the contribution of most important characters towards yield.

Methodology:

Sixty mango genotypes of mango were selected and evaluated based on genetic diversity at Germplasm Center of BAU during December 2007 to August 2009. The experiment was laid out in RCB design with three replications for phenotypic evaluation. The distance from plant to plant was 5m and row to row was 5m. Data were recorded on yield and different yield contributing characters. TSS was recorded with the help of hand refractometer. Genotypic and phenotypic coefficient of variation was calculated for all the quantitative characters. The recommended NPK fertilizer doses and cultural practices along with plant protection measures were followed to raise an ideal crop. The fruits were harvested at mature stage. Five plants were selected for 10 quantitative traits such as plant height, leaf area, percent flowering shoot, inflorescence/ shoot, percent perfect flower, fruit set/inflorescence, number of fruits/plant, fruit weight, fruit length, fruit yield/plant. The collected data were subjected for analyzing Phenotypic (P) and Genotypic correlation coefficient among various pairs of 10 characters of 60 diverse genotypes. Genotypic and phenotypic correlation coefficient was estimated. Using genotypic and phenotypic correlation values, path co-efficient analysis was done the procedure. In path analysis, correlation co-efficient is partitioned into direct and indirect effects of independent variable on the dependent variable.

Source of Information: BANGLADESH JOURNAL OF AGRICULTURAL RESEARCH, Vol-37 (3), pp. 493-503, September 2012, ISSN 0258-7122.

Article Link (Online Journal):

Funding Source:

Total Budget (Tk.) :

Achievement/Findings:

In combination with correlation coefficient and path analysis, it was found that number of fruits per plant and percent perfect flower gave significant positive correlation coefficients with yield and also produce the high positive direct effect. Thus, it was clear that plant height, inflorescence per shoot, percent perfect flower, percent initial fruit set per inflorescence, and fruit weight are the major component of fruit yield in mango.

Knowledge Management: Journal