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STATISTICAL MODELS FOR GROWTH PREDICTION IN EUCALYPTUS UNDER VARIOUS TREE BASED SYSTEM

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Title STATISTICAL MODELS FOR GROWTH PREDICTION IN EUCALYPTUS UNDER VARIOUS TREE BASED SYSTEM
Not Available
 
Creator Ajit,
S. K. Dhyani,
A. K. Handa
O. P. Chaturvedi,
Rajender Singh
Uma
 
Subject Agroforestry systems, Growth attributes, Height-dbh models, Spacing.
 
Description Not Available
An experiment was initiated at National Research Centre for Agroforestry (NRCAF), Jhansi, India
to study the growth and yield of Eucalyptus clones under different agroforestry systems. At 4.5
yearsage, the MAI (Mean annual increment) of height was 3.62 m in boundary plantation (BP);
3.27 m in agrisilviculture (AS) and 3.14 m in compact block plantation (CB), respectively, whereas
the MAI of dbh was 3.88cm in BP, 3.41 cm in AS and 3.22 cm in CB. Non-linear models were
attempted to fit height-dbh relationship. The allometric function results in reasonable estimations,
even quite outside the observed range also, whereas other two namely Richards and Schumacher
leads to merely constant estimation of size for the extrapolated range. Therefore, the allometric
functions, which meets both, the criteria’s of high R2-value and reasonably acceptable extrapolated
predictions was preferred over the other two. Accordingly, allometric model were separately
developed for three agroforestry systems respectively.
Not Available
 
Date 2020-02-27T10:16:46Z
2020-02-27T10:16:46Z
2013-04-05
 
Type Research Paper
 
Identifier Not Available
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/33435
 
Language English
 
Relation Not Available;
 
Publisher Not Available