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Correlation and Path Coefficient Analysis in Giant Taro (alocasia Macrorrhiza L.)

K. K. Paul
Institute of Biological Sciences, Rajshahi University, Rajshahi-6205, Bangladesh.

S. C. Debnath
Institute of Biological Sciences, Rajshahi University, Rajshahi-6205, Bangladesh.

M. A. Bari
Institute of Biological Sciences, Rajshahi University, Rajshahi-6205, Bangladesh.

Abstract/ Executive Summary:

Genotypic and phenotypic character associations as well as direct and indirect effects were estimated for eleven characters such as plant height, petiole length, petiole breadth, leaf area index, inflorescence length, spathe length, spathe breadth, corm length, corm breadth, corm weight and yield per plant, in giant taro (Alocasia macrorrhiza L). The results revealed that plant height, LAI, corm length, corm breadth, had positive correlation with yield per plant both at genotypic and phenotypic level. Relatively higher positive and direct effect was found through petiole length, LAI and corm length and yield per plant in genotypic level. The residual effect 0.4762 represent in genotypic level about 53 % of the variability observed for yield per plant was represented by these traits. In the phenotypic level highest and positive direct effect was observed with petiole length and yield per plant. Positive direct effect was also found on yield per plant by plant height, petiole length, inflorescence length, inflorescence number, spathe length and spathe breadth, corm length, corm breadth. The residual effect 0.4235 means that characters included in the present study explained about 58 % variability in yield per plant at phenotypic level.

Keywords: Alocasia macrorrhiza; Genotypic correlation; Phenotypic correlation coefficient; Direct and indirect effects

Location: Rajshahi, Satkhira, Jessore, Bogra, Joypurhat, munshiganj, Joydevpur, Mymensingh, Barisal,kustia, Nagaon, Tangail, Khulna districts

Start Date: 01-06-2006

End Date: 30-07-2008

Program Area: Variety and Species

Commodity: Aroids

Objectives:

To determine the nature and magnitude of relationships between yield and yield components and path coefficient analysis (direct and indirect effects) of yield and yield contributing characters in genotypic & phenotypic level in giant taro (Alocasia macrorrhiza L).

Methodology:

407 edible giant taro accessions were collected from aroid growing thirteen districts (Rajshahi, Satkhira, Jessore, Bogra, Joypurhat, munshiganj, Joydevpur, Mymensingh, Barisal,kustia, Nagaon, Tangail, Khulna) of Bangladesh in 2006-2007. Collected propagules are the mainly plantlets, suckers. Propagules are maintained and were grown in loamy soil in a single row of 4 meters length with inter row spacing of 100 cm. Selected plantlets/setts were used for propagating materials. This investigation was conducted at the experimental farm of the Institute of Biological Sciences research field at Rajshahi University, Rajshahi during the on set of rainy season 2006-2008 .The land in which the experiment was carried out was medium high. The soil was part of Level Barind agroecological zone marked by sandy loam with pH 6.5. The rainfall distribution in rabi season was very low or scanty. So that at least 3-4 times flood irrigation were necessary. All recommended agricultural practices were followed for this crop. The experiment was set up with superior genotypes in a Randomized Complete Block (RCB) design with three replications. In each experimental plot plant propagules are planted with row to row spacing was 1m x 1m and Plant to plant spacing was 1m. All recommended agricultural practices were followed for this crop production. Agro-morphological data were collected during optimum vegetative growth following descriptors of Taro with necessary modifications (A. The morphological characters were recorded from randomly selected five plants from each accession between 190 days after planting, while yield and other characters were recorded at harvest. Leaf parameters were made on two fully developed leaves per plant and recorded the average of three plants. Plant height (PLH), Petiole length (PEL), Petiole breadth (PEB), Leaf area Index (LAI), Spathe length (SPL), Spathe breadth (SPB), Corm length (CRL), Corm breadth (CRB), Corm weight (CRW), Yield per plant (YPP) were determined. The collected data were analyzed following the biometrical techniques of analysis based on mathematical model of Fisher and Co-workers developed by Mather using the SPSS and excel software. Mean and Critical differences were worked out by the method of analysis of variance used for randomized block design. The analysis of variance for each character under the study was performed by F Test. The critical differences, variances, Genotypic variance (σ²g ), phenotypic variance (σ²p ), Covariance and environment variance (σ²e ) were worked out. For the purpose of correlation and path coefficient analysis, the analysis of both variance and covariance were made. Correlation coefficient was calculated from the variance and covariance components. Phenotypic, genotypic and environmental correlation coefficient for all possible combinations were computed from the components of variance and covariance. The path coefficient analysis was done by using Wright’s formula.

Source of Information: Bangladesh J. Sci. Ind. Res. 50(2), 117-122, 2015

Article Link (Online Journal):

Funding Source:

Total Budget (Tk.) :

Achievement/Findings:

Giant taros are underutilized and neglected crop and very few research works were reported on its areas of correlation and path analysis. Genotypic correlation coefficients was in general higher than phenotypic ones. Yield was positively and significantly correlated with L/B ratio of leaves and number of suckers per plant at both genotypic and phenotypic levels. High positive correlation between plant height and size of corms, L/B ratio and size of corm was observed at genotypic level. The results revealed that plant height, LAI, corm length, corm breadth, had positive correlation with yield per plant both at genotypic and phenotypic level. Relatively higher positive and direct effect was found through petiole length, LAI and corm length and yield per plant in genotypic level. The residual effect 0.4762 represent in genotypic level about 53 % of the variability observed for yield per plant was represented by these traits. In the phenotypic level highest and positive direct effect was observed with petiole length and yield per plant. Positive direct effect was also found on yield per plant by plant height, petiole length, inflorescence length, inflorescence number, spathe length and spathe breadth, corm length, corm breadth. The residual effect 0.4235 means that characters included in the present study explained about 58 % variability in yield per plant at phenotypic level.

Knowledge Management: Journal