COMPUTATION OF LOGISTIC LAW OF GROWTH

QUICK METHOD FOR COMPUTATION OF LOGISTIC LAW OF GROWTH IN BIOLOGY

RAJENDRA DHOBAL1 SAHIL PERSHAD2

Introduction:

Rapid advances are being made in the application of cell and tissue culture techniques for the purpose of genetic manipulation in plants. Also the various inputs control the growth of cells in a variety of manners and studies in these fields are done using various segregations of a population under changing environments (Cocking, 1978). Many a times the growth processes in biological and botanical fields are governed both by internal and external factors. The intake of some nutrients control this process in an entirely internal way while temperatures, solar energy, photo interactions govern them externally.

BIOLOGICAL GROWTH LAWS

BIOLOGICAL GROWTH LAWS

-APPLICATION TO PRAWNS

SAHIL PERSHAD1and RAJENDRA DHOBAL2

The growth laws of bacteria, populations, and many biological species have been the center of the bio-mathematical studies in the past. Various attempts were made to find a growth/decay law of these living beings and in the history of this kind of studies many derivations have come through. But some of those laws which fit the observations have been put here for computation of the growth of the prawn in aquaculture.

Significance Factor

 

SIGNIFICANCE FACTOR

–A NEW TOOL FOR THE SCIENTOMETRIC AND INFORMETRIC STUDIES

SAHIL PERSHAD

GEEBEE INTERNATIONAL

NEW DELHI

ABSTRACT

A new impact parameter is discussed in this paper for the analysis, categorization and profiling of the prolific institutions of a country, and the efficacy of this approach is studied in relation to Frame’s (1977) Activity Index (AI). Application of this technique is demonstrated for the scientific output from institutes of India as a special case and comparison is done with already published AI analysis on these institutions (Garg, Dutta and Kumar, 2006).