&lt;b&gt;Direct and indirect effects of measures and reasons morphometric on the body yield of Nile tilapia, &lt;i&gt;Oreochromis niloticus&lt;/i&gt;&lt;/b&gt; - doi: 10.4025/actascianimsci.v35i4.19807

Melo, Carlos Cicinato Vieira; Neto, Rafael Vilhena Reis; Costa, Alan Carlos; Freitas, Rilke Tadeu Fonseca de; Freato, Thiago Archangelo; Souza, U. N.

doi:10.4025/actascianimsci.v35i4.19807

Cited by 6 publications

(13 citation statements)

References 15 publications

(2 reference statements)

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“…Studies conducted with Nile Tilapia by Rutten et al, () and Barbosa et al (), considering the correlation value, indicated that the SL measure is one of the most adequate for determining the weight of this species. Melo et al (), in studies with different Tilapia weight classes, highlighted the importance of SL in identifying Tilapias with greater carcass weight. For Freato et al (), working with Piracanjuba ( Brycon orbignyanus ), suggest that SL is also one of the most efficient measures for determining weight, with linear correlation coefficient of 0.89.…”

Section: Discussionmentioning

confidence: 99%

“…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, ).…”

Section: Introductionmentioning

confidence: 99%

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Application of morphometric measures in estimation of body weight and discrimination ofAstyanax lacustrisandAstyanax fasciatus

et al. 2019

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The objective of this study was to verify the direct and indirect correlation between morphometric measures, ratios, body weight and yield in two lambari species Astyanax lacustris and Astyanax fasciatus and whether the discriminant analysis is capable of separating and allocating the species. We used 102 lambari yellow tail and 60 lambari red tail. The fish were weighed and submitted to the evaluation of the morphometric measurements. The direct and indirect effects were evaluated by the method of track analysis, considering weight at slaughter, weight of body parts and body yields as dependent variables and measures and morphometric ratios as explanatory variables. Astyanax lacustris presented higher height and body width, carcass yield and trunk, while A. fasciatus presented higher head yield and viscera weight. The discriminant analysis was able to classify 79.5% of the two species. Track analysis demonstrated that the morphometric measurements can be used for estimation of body and body components’ weight in A. lacustris and A. fasciatus. However, regarding the corporal yield; the morphometric measures were insufficient to explain the yield variations of the species.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Application of morphometric measures in estimation of body weight and discrimination ofAstyanax lacustrisandAstyanax fasciatus

et al. 2019

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“…() in pacu and tambaqui. Bodily yields have low or zero correlation with performance, morphometric and body component traits in round fish (Reis Neto, Serafini, et al., ) and tilapia (Melo et al., ), which explains why the GCA ranking for bodily yields is different from that for other traits analysed. These results indicate that for the studied traits, apart from bodily yield, tambaqui has a better response to selection and can also best transmit its characters to descendants, showing the potential of using this species in breeding programmes.…”

Section: Discussionmentioning

confidence: 99%

“…The farming of tilapia has dominated the South American continental aquaculture market due to advances in production technology (Melo et al., ). However, recent studies on native species from some regions and some hybrids have shown high yield potential (Fernandes et al., ; Hashimoto, Prado, Senhorini, Forest & Porto‐Foresti, ; Reis Neto, Freitas, et al., ).…”

Section: Introductionmentioning

confidence: 99%

General and specific combining ability in Serrasalmidae

et al. 2018

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This work was carried out to predict the combining abilities, both general and specific, for performance traits and bodily yields of Serrasalmidae. Ninety-six 30-day-old juveniles were purchased from two commercial fish farms, 12 of each of the following eight genetic groups: pacu, pirapitinga, tambaqui, tambacu, tambatinga, patinga, paqui and piraqui. Six fish from each genetic group were grown in 500-L fibreglass tanks (two tanks per genetic group) until they were 495 days old. At the end of the growth period fish were weighed, subjected to morphometric analysis and processed to obtain their bodily yields. Two nuclear markers and one mitochondrial marker were used to confirm the identity of the animals. Combining abilities were obtained using the method proposed by Griffing in 1956 (Australian Journal of Biological Science, 4, 463-493) adapted to a mixed models analysis, environmental effects were estimated by the empirical best linear unbiased estimator method and genetic effects (general and specific combining abilities) were estimated with the empirical best linear unbiased predictor. Predictions of the combining abilities of advanced hybrids were obtained by the mixed models mixture method with normal distributions. Tambaqui showed higher general and specific combining abilities than the other groups for most of the variables, making it the most important genetic group. General combining ability makes a greater contribution to phenotypic variance than specific combining ability for most variables, indicating a predominance of genes with an additive effect in the control of evaluated traits. K E Y W O R D SColossoma macropomum, diallel crossbreeding, fish breeding, Piaractus brachypomum, Piaractus mesopotamicus, round fish

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“…The presence of significant moderate to high correlation between genetic compositions imputed between the evaluated traits can be a function of these characteristics as correlation is found in fish (Reis Neto et al, 2012;Melo et al, 2013).…”

Section: Discussionmentioning

confidence: 99%

Imputation of genetic composition for missing pedigree data in Serrasalmidae using morphometric data

Costa

Balestre

Botelho

et al. 2017

Sci. agric. (Piracicaba, Braz.)

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This study aimed to impute the genetic makeup of individual fishes of Serrasalmidae family on the basis of body weight and morphometric measurements. Eighty-three juveniles, belonging to the genetic groups Pacu, Pirapitinga, Tambaqui, Tambacu, Tambatinga, Patinga, Paqui and Piraqui, were separated into 16 water tanks in a recirculation system, with two tanks per genetic group, where they remained until they reached 495 days of age. They were then weighed and analyzed according to the following morphometric parameters: Standard Length (SL), Head Length (HL), Body Height (BH), and Body Width (BW). The identity of each fish was confirmed with two SNPs and two mitochondrial markers. Two analyses were performed: one for the validating the imputation and another for imputing a genetic composition of animals considered to be advanced hybrids (post F1). In both analyses, we used linear mixed models with a mixture of normal distributions to impute the genetic makeup of the fish based on phenotype. We applied the mixed models method, whereby the environmental effects were estimated by the Empirical Best Linear Unbiased Estimator (EBLUE) and genetic effects are considered random, obtaining the Empirical Best Linear Unbiased Predictor (EBLUP) from the general (GCA) and the specific (SCA) combining ability effects. The results showed that validation of the genetic makeup imputation based on body weight can be used because of the strong correlation between the observed and imputed genotype. The fish classified as advanced hybrids had a genetic composition with a high probability of belonging to known genotypes and there was consistency in genotype imputation according to the different characteristics used.

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<b>Direct and indirect effects of measures and reasons morphometric on the body yield of Nile tilapia, <i>Oreochromis niloticus</i></b> - doi: 10.4025/actascianimsci.v35i4.19807

Cited by 6 publications

References 15 publications

Application of morphometric measures in estimation of body weight and discrimination ofAstyanax lacustrisandAstyanax fasciatus

Application of morphometric measures in estimation of body weight and discrimination ofAstyanax lacustrisandAstyanax fasciatus

General and specific combining ability in Serrasalmidae

Imputation of genetic composition for missing pedigree data in Serrasalmidae using morphometric data

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