Non-linear statistical models for pre-harvest forecasting of fish production from inland ponds
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Authors
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S S Walia
Indian Agricultural Statistics Research Institute, New Delhi - 110 012, India
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R C Jain
Indian Agricultural Statistics Research Institute, New Delhi - 110 012, India
Abstract
Three species of inland fish, viz. rohu, mrigal and common carp were includedin the present study. Non-linear statistical models were fitted to forecast fish
weight at the time of harvest after 12 months of stocking fish. Results revealed
that forecast of fish weight can be made three months before harvest for
indigenous species of rohu and mrigal using logistic growth model. In the case
of exotic species, like common carp also the forecast of fish weight can be
provided three months before harvest using Gompertz model.
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The copyright of the articles published in Indian Journal of Fisheries vests with the Indian Council of Agricultural Research, who has the right to enter into any agreement with any organization in India or abroad engaged in reprography, photocopying, storage and dissemination of information contained in these journals. The Council has no objection in using the material, provided the information is being utilized for academic purpose but not for commercial use. Due credit line should be given to the ICAR where information will be utilized.How to Cite
Walia, S. S., & Jain, R. C. (2011). Non-linear statistical models for pre-harvest forecasting of fish production from inland ponds. Indian Journal of Fisheries, 45(1), 75-78. https://epubs.icar.org.in/index.php/IJF/article/view/8769
