2019
DOI: 10.1111/are.14099
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Abstract: The objective of this work was to evaluate the association between morphometric variables and carcass characteristics in Pirapitinga. We used a thousand specimens of Pirapitinga with an average weight of 1,200 g, which were stunned, slaughtered, weighed, measured, and processed for morphometric and processing yield analysis, to obtain weights, carcass and fillet yields. Initially, the linearity of the variables was verified. Pearson's simple and partial correlation tests were performed between all metrics. Tra… Show more

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Cited by 6 publications
(2 citation statements)
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References 18 publications
(26 reference statements)
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“…According to El‐Ibiary and Joice (), the linear measures are reliable parameters for estimating carcass and filet weight, but not for the yield of these components. This fact was also found by Ribeiro et al, , when studying the association between morphometric variables of weight and yield of pirapitinga ( Piaractus brachypomus ) concluded that the morphometric variables were not efficient for indirect selection of animals.…”
Section: Discussionsupporting
confidence: 59%
See 1 more Smart Citation
“…According to El‐Ibiary and Joice (), the linear measures are reliable parameters for estimating carcass and filet weight, but not for the yield of these components. This fact was also found by Ribeiro et al, , when studying the association between morphometric variables of weight and yield of pirapitinga ( Piaractus brachypomus ) concluded that the morphometric variables were not efficient for indirect selection of animals.…”
Section: Discussionsupporting
confidence: 59%
“…The correlation between morphometric measures and ratios associated with yield has been object of many studies (Diodatti et al, ; Melo et al, ; Reis Neto et al, ; Ribeiro et al, ). However, this simple correlation allows the evaluation of only the direction and magnitude of the association between two characters, providing no information regarding the direct and indirect effects of a group of characters related to a dependent variable of greater importance (Cruz, ; Ribeiro et al, ). Thus, with the intent of better understanding the causes involved in the association between characters, the path analysis studies the direct and indirect effects of characters over a base variable, of which estimates are obtained by regression equations, in which variables are previously standardized (Cruz & Carneiro, ).…”
Section: Introductionmentioning
confidence: 99%