Unequal Probability Scheme for Fruit Count in a Guava Tree

Authors

  • RAMESH CHANDRA BHARATI ICAR Research Complex for Eastern Region Patna

DOI:

https://doi.org/10.21921/jas.v3i4.6713

Abstract

Data on fruit count corresponding to primary, secondary and tertiary branches of a randomly selected guava CV. Allahabad Safeda were recorded from the guava orchard of Horticultural Research Station, Birauli. The proposed sampling scheme in which the selection probabilities are based on length of braches between two forking points was compared with equal probability(PE), probability proportional to the number of branches(PPN), probability proportional to the cross sectional area (PPA) and probability proportional to volume(PPV) method of sampling and found to be more efficient.

Author Biography

RAMESH CHANDRA BHARATI, ICAR Research Complex for Eastern Region Patna

Prof.(Dr.) R.C. Bharati

Principal Scientist (Agricultural Statistics)

Division of Socio-economic & Extension

ICAR Research Complex for Eastern Region, Patna

References

Bharati, R.C. and Prasad, J. 2000. A new sampling scheme for determining the fruit count of Guava tree cv Allahabad Safeda, RAU J. Res., 10(1), 189-190.

Kumar, E.V., Srivenkataramana, T. and Sundaraj. 1985. Branch sampling for estimating the number of fruits on a tree, J. Amer. Soc. Hort. Sci. 110(3), 451-454.

Jessen, R.J. 1955. Determining the fruit count on a tree by randomised branch sampling, Biometrics, 11, 99-109.

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Published

2016-12-17

Issue

Section

Short Note/communication

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