Informatics Publishing Limited

T. A. Khan , P. S. Pathak

Abstract

Study has been carried out on prediction of biomass in Leucaena leucocephala (Lam.) de wit, Data pertaining to biomass/growth attributes on one hundred plants ranging from 3.5 to 7.5 year growth have been taken by actua1 felling of trees. Optimum prediction equations were decided on the basis of Coefficient of determination (r³) along with significance of regression with its minimum standard error. It has obtained from the data presented, that variation in the biomass/growth had increasing trend upto 6.5 year and decline afterwards. It was found that dbh provides the optimum prediction of biomass with good precision. Biomass prediction table, according to different dbh growth was also computed.

Full Text

     

T. A. Khan , P. S. Pathak , S. K. Gupta

Abstract

Statistical analysis of data pertaining to three fuel-cum-fodder trees viz; Acacia tortilis, Hardwickia binata and Leucaena leucocephala planted under agro-silvipasture and farm forestry experiments have been discussed, in the light of normality of data. 54, 39 and 50 samples of size 20 each belonging to these tree species have been chosen for deciding the criterion of transformation function. Sample size with desired variation in mean above-ground biomass in tree have also been discussed. It has been found that logarithmic transformation is most suitable for Acacia tortilis and Hardwickia binata while square ischolar_main function for Leucaena leucocephala. Sample size with desired 10% apartness from mean were found as 95-100% in case of L. leucocephala, 68% in A. tonilis and 15% in H. binata of available plants.

Full Text