A study was undertaken to fmd out the extent of association among growth attributes of vanilla (Vanilla planifolia) and to develop a model for determination of vine length based on biometrical observations. The characters, number of nodes, number of leaves and internodal length were significantly and positively correlated with vine length. The multiple regression equation derived exhibited a precision of 82.5 per cent.
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MADHUSOODANAN, P G SANKARAN, K M KURUVILLA, K J

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iiTnI"rnal of Spices & Aromatic Crops 3 (2) : 155-157, 1994 155 Correlations between biometrical characters in vanilla (Vanilla planifolia Andrews) p G SANKARAN, K M KURUVILLA & K J MADHUSOODANAN Indian Cardamom Research Institute Myladumpara, Kailasanadu P.O., Idukki - 685553, India. ABSTRACT A study was undertaken to fmd out the extent of association among growth attributes of vanilla (Vanilla planifolia) and to develop a model for determination of vine length based on biometrical observations. The characters, number of nodes, number of leaves and internodal length were significantly and positively correlated with vine length. The multiple regression equation derived exhibited a precision of 82.5 per cent. Key words: correlation, multiple regression, vanilla, Vanilla planifolia. Vanilla (Vanilla planifolia Andrews) (Orchidaceae) is mainly grown for pleas-ant flavour.of its beans and is a major source of natural vanillin. V. pompona Schiede and V. tahitensis J.W. Moore also yield natural vanillin. However, V. planifolia is the most preferred com-mercially due to its superior quality of produce and hence is widely cultivated. The crop is vegetatively propagated through cuttings. Cuttings of 1 m length are generally preferred for planting (Sasikumar, Rema & Ravindran 1992). Determination of vine length is rela-tively easy in early stages of growth as it grows straight upwards along the support. However, when the vines at-tain sufficient length later, they are coiled/trailed on supports in the planta-tions to promote flower formation (George 1981). Therefore, measurement of vine length is a difficult task for research workers in vanilla. Besides, vanilla nursery owners find it difficult to know the number of cuttings that can be obtained from grown up plants. In the present study, an attempt was made to find out the extent of association between growth attributes of vanilla and to develop a model to determine vine length based on biometrical obser-vations. The experiment was carried out at the Indian Cardamom Research Institute Farm, Myladumpara (Kerala, India). One hundred plants were randomly selected and observations were made on characters such as vine length, total number of leaves, total number of nodes, length of internodes, leaf area (length x breadth) and girth of vine. For determining leaf area and internodal length, five leaves and internodes from Sankaran, Kuruvilla & Madhusoodanan 156 Table 1. Correlation coefficients among growth characters of vanilla Character No. of No. of Internodal Leaf Girth leaves nodes length area of vine Vine length 0.872 0.886 0.723 0.149 0.293 No. of leaves 0.985 0.645 0.025 0.197 No. of nodes Internodal length Leaf area the terminal portion of the vine were used and the average was calculated. The correlation coefficients were worked out among the growth characters. Non significant characters were not taken into account for developing the model. The observations indicated that number of nodes and leaves were on par and therefore, number of nodes was consid-ered along with internodal length in determining vine length. The multiple regression equation suggested by 0.647 0.039 0.214 0.422 0.334 0.534 Wonnacot & Wonnacot (1970) was em-ployed in developing the model. Correlation studies provide a measure of association between different vari-ables and help in formulation of selec-tion indices. The characters, number of nodes, number of leaves and internodal length were highly positively correlated with vine lenth. All these characters were also significantly and positively correlated with each other. However, Table 2. Observed and calculated values of vine length in vanilla 81. No. of Internodal Observed Calculated Accuracy No. nodes length (em) vine length (em) vine length (em) (%) 1. 44 10.0 365 384.83 95 2. 41 7,7 272 311.45 86 3. 73 12.5 773 684.65 89 4. 59 9.9 470 511.00 92 5. 50 8.6 370 407.08 90 6. 38 7.2 238 275.43 85 7. 76 10.2 631 662.58 95 8. 51 8.8 403 419.78 96 9. 43 9.0 301 355.53 82 10. 66 10.7 564 587.45 96 ""; '{ tOITeliatwn studies in vanilla such as leaf area and vine girth ~exhil)it"d no significant correlation with length. There was a high positive COJl'~H'""»' between number of nodes and number of leaves probably because each node corresponds to a leaf at the younger stage of the vine (Table 1). Tbe regression equation Y = -198.87 + 8.55 Xl + 20.75 X2 where, Xl and X2 represents number of nodes and internodal length, respectively, was developed. Analysis of the model re-vealed that two factors viz., number of nodes and internodal length together . contributed around 82.5 per cent preci-sion (R' = 0.825) to the model. This model was verified in the field with 10 observations which revealed a mean accuracy of 90.6 per cent (Table 2). In 157 vanilla plantations, coiling/trailing of vines is a general practice and this leads to difficulty in ascertaining the length of vines. Recording number of nodes and internodal length is easy compared to determination of actual length; hence the model assumes great importance. References George C K 1981 Vanilla culture-a scientific approach. Indian Cocoa, Arecanut & Spices J. 4 : 1-4. Sasikumar B, Rema J & Ravindran P N 1992 Vanilla. Indian Cocoa, Arecanut & Spices J . 16 : 6-1l. Wonnacot R J & Wonnacot T H 1970 Econometrics. John Wiley & Sons, London. 

Correlations between biometrical characters in vanilla (Vanilla planifolia Andrews)

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Correlations between biometrical characters in vanilla (Vanilla planifolia Andrews)

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