CONSTRUCTION OF GROWTH AND YIELD PREDICTION MODELS FOR NEOLAMARCKIA CADAMBA IN WESTERN ZONE OF TAMIL NADU, INDIA

M. VIJAYABHAMA¹, K. BARANIDHARAN²*, R. RAVI KUMAR³, K. DIVYA^4
1Forest College and Research Institute, Mettupalayam, 641301, Tamil Nadu Agricultural University, Coimbatore, 641003, Tamil Nadu, India
²Forest College and Research Institute, Mettupalayam, 641301, Tamil Nadu Agricultural University, Coimbatore, 641003, Tamil Nadu, India
³Forest College and Research Institute, Mettupalayam, 641301, Tamil Nadu Agricultural University, Coimbatore, 641003, Tamil Nadu, India
⁴Forest College and Research Institute, Mettupalayam, 641301, Tamil Nadu Agricultural University, Coimbatore, 641003, Tamil Nadu, India
* Corresponding Author : krisbarani@yahoo.com

Received : 21-07-2020     Accepted : 23-08-2020     Published : 30-08-2020
Volume : 12     Issue : 16       Pages : 10152 - 10154
Int J Agr Sci 12.16 (2020):10152-10154

Keywords : Kadam, Models, SPSS and MINITAB, Validation
Academic Editor : R. K. Rathod, Dr Eleonora Nistor
Conflict of Interest : None declared
Acknowledgements/Funding : Authors are thankful to Forest College and Research Institute, Mettupalayam, 641301, Tamil Nadu Agricultural University, Coimbatore, 641003, Tamil Nadu, India
Author Contribution : All authors equally contributed

Neolamarckia cadamba commonly known as kadam, it is a large, tall, handsome, deciduous sometime evergreen or semi-evergreen tree, with a straight, cylindrical bole and a disciplined crown of horizontal spreading branches which are more or less whorled. In recent years, Kadam (Neolamarckia cadamba) wood is in great demand for multifaceted use. With increase in demand for consumption, the Kadam cultivation is being encouraged by many wood industries. Deriving of yield prediction model for fast growing and high yielding Kadam would help the farming community to easily predict the yield. The present study was design to develop the growth and yield prediction models of Neolamarckia cadamba plantations in Western Zone of Tamil Nadu. Different age gradations of plantations were used for the study. Biometric parameters were collected on each plantation such as girth and diameter by using measuring tape and Haga altimeter respectively. The study results concluded that the yield of Kadam plantations in Western Zone was highly significant. In the regression analysis, 2004 plantation of Thondamuthur which was having high R2 (0.986) value, it reveals that the performance of Neolamarckia cadamba plantation was high than all plantations in Western Zone. Regarding the yield prediction model using SPSS, EXCEL and MINITAB, it was concluded that Quadratic model Y = 12.59x2 + 0.040x - 0.016 with R2 of 0.986 (X = Diameter) was highly suitable for all the plantations in Western Zone. Through this yield model tree growing farmer can able to find their plantation present productivity and profitability at any point of time. Normally yield table is inflexible for change. But here the problem is addressed by using yield prediction model.

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