2023
DOI: 10.1016/j.heliyon.2022.e12739
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Evaluating biometric indices for Indian Gagata, Gagata cenia (Hamilton, 1822) through multi-model inferences

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Cited by 6 publications
(8 citation statements)
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“…The slope parameter ( b ) in LWR is employed to determine the pattern of fish growth [ 38 , 58 ] and the condition factor (CF) is crucial for gaining information on ecological adaptation of fish [ 58 , [63] , [64] , [65] ]. In fisheries, LWRs prove extremely valuable for converting length distributions into weight measurements, facilitating biomass assessment [ 66 , 67 ]. The size categories of fish can impact on the distribution of individuals within a population of fish [ 66 , 68 ].…”
Section: Discussionmentioning
confidence: 99%
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“…The slope parameter ( b ) in LWR is employed to determine the pattern of fish growth [ 38 , 58 ] and the condition factor (CF) is crucial for gaining information on ecological adaptation of fish [ 58 , [63] , [64] , [65] ]. In fisheries, LWRs prove extremely valuable for converting length distributions into weight measurements, facilitating biomass assessment [ 66 , 67 ]. The size categories of fish can impact on the distribution of individuals within a population of fish [ 66 , 68 ].…”
Section: Discussionmentioning
confidence: 99%
“…In fisheries, LWRs prove extremely valuable for converting length distributions into weight measurements, facilitating biomass assessment [ 66 , 67 ]. The size categories of fish can impact on the distribution of individuals within a population of fish [ 66 , 68 ]. To construct ecosystem models, it is essential to have information on growth parameters like the von Bertalanffy growth coefficient ( K ), asymptotic length ( L ∞ ), age at zero length ( t 0 ), maximum reported age ( t max ), size at sexual maturity ( L m ) and natural mortality ( M w ) [ 66 , 69 ].…”
Section: Discussionmentioning
confidence: 99%
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