Record Details

Statistical Models for Estimating Trend and Growth Rate of Shrimp Culture and Production in India

KRISHI: Publication and Data Inventory Repository

View Archive Info
 
 
Field Value
 
Title Statistical Models for Estimating Trend and Growth Rate of Shrimp Culture and Production in India
Not Available
 
Creator Megha, S. S.
Joshy, C. G.
Mathew Sebabstian
 
Subject Regression models
growth rate
carrying capacity
shrimp
area under culture
production
 
Description Not Available
Linear and non-linear parametric regression models
were fitted to the secondary data on area under
culture and production of different species cultured
crustaceans viz: Tiger shrimp (Penaeus monodon),
White leg shrimp (Litopenaeus vannamei) and Scampi
(Macrobracium rosenbergii) to estimate the trend
growth rate. Linear regression models like simple
and polynomial models and non-linear models like
Monomolecular, Logistic and Gompertz models
were fitted to the data on total area under culture
(AUC) and total production (P) as well as selected
species wise shrimp culture and production using
ordinary least square (OLS) method. Logistic model
was found to be the best fitted model for total AUC
and shrimp production. The estimated growth rate
of total AUC was 0.138 ha/ year and total production
was 0.379 tonnes/year. Gompertz model was the best
fitted model for both AUC and production data of
white leg shrimp, and cubic model was the best
fitted model for AUC and production of Tiger
shrimp and Scampi. In general, it was observed that
the total area under culture and shrimp production
in India is increasing. The introduction of White leg
shrimp contributed significantly to the increase in
total AUC and production of Shrimp in India. Based
on the estimated carrying capacity of AUC and
production of total shrimp and White leg shrimp
indicated that there is further potential to increase
the AUC and production of shrimp in India.
Not Available
 
Date 2024-05-13T15:46:12Z
2024-05-13T15:46:12Z
2023-07
 
Type Research Paper
 
Identifier Megha, S. S., Joshy, C. G. and Mathew Sebabstian (2023) Statistical models for estimating trend and growth rate of shrimp culture and production in India. Fish. Techol. 60(3): 225-229.
0015-3001
http://krishi.icar.gov.in/jspui/handle/123456789/82804
 
Language English
 
Relation Not Available;
 
Publisher Society of Fisheries Technologists, India (SOFTI)