RELATIONSHIP BETWEEN BODY WEIGHT, BODY MEASUREMENTS AND CARCASS CHARACTERISTICS OF NILE TILAPIA (Oreochromis niloticus L.).

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Název: RELATIONSHIP BETWEEN BODY WEIGHT, BODY MEASUREMENTS AND CARCASS CHARACTERISTICS OF NILE TILAPIA (Oreochromis niloticus L.).
Alternate Title: Veza između telesne mase, telesnih mera i karakteristika trupa nilske tilapije (Oreochromis niloticus L.).
Autoři: Portillo-Salgado, Rodrigo1, Sánchez-Márquez, Alondra Y.1, Oney-Montalvo, Julio E.1, Dzib Cauich, Dany A.1, de Jesús Chi-Gutiérrez, Emmanuel1 edjchi@itescam.edu.mx
Zdroj: Biotechnology in Animal Husbandry. 2025, Vol. 41 Issue 1, p25-35. 11p.
Druh dokumentu: Article
Témata: Independent variables, Length measurement, Stature, Fish fillets, Fish kills, Nile tilapia
Author-Supplied Keywords: aquaculture
body weight
fillet yield
Oreochromis niloticus
prediction equations
akvakultura
jednačine predviđanja
prinos fileta
telesna masa
Language of Keywords: English; Bosnian
Abstract (English): This study was conducted to evaluate the relationship between the body weight (BW), body measurements and carcass characteristics to determine the usefulness of body measurements in prediction of BW and fillet and carcass weight of Nile tilapia (Oreochromis niloticus L.). In the study, a total of thirty-six adult male tilapia specimens were used. The fish were killed and weighed individually using an electronic scale. Six linear body measurements were recorded: total length (TOL), standard length (STL), body width (BWI), body perimeter (BPE), body height (BHE) and head length (HEL). Likewise, the fish were processed to determine the carcass weight (CWE), viscera weight (VIW), head weight (HEW), fillet weight (FIW), backbone weight (BAW) as well as carcass (CYI) and fillet (FIY) yields. The results of the study indicated that the mean values of BW, body measurements and carcass characteristics presented low to moderate variability, varying from 3.45% for TOL to 26.74% for HEW. The Pearson correlation coefficients ranged from moderate to high (0.342 = r = 0.869). All the linear body measurements, except HEL, showed positive correlations with BW (P<0.001). Also, BW showed positive correlations (P<0.05; P<0.001) with the CWE (r= 0.869), FIW (r= 0.638), VIW (r= 0.395) and BAW (r= 0.360). The results of the stepwise regression analysis revealed that BW can be moderately predicted using BHE and STL as the predictor's variable. Besides, BW was the traits of higher importance in the prediction of CWE (R2 = 75.6%) and FIW (R2 = 40.7%). These findings contribute to decision making related to breeding programs of this aquaculture species. [ABSTRACT FROM AUTHOR]
Abstract (Bosnian): Ovo istraživanje je sprovedeno radi procene odnosa između telesne mase (BW), telesnih mera i karakteristika trupa, kako bi se utvrdila mogućnost korišćenja telesnih mera za predviđanje BW i težine fileta i trupa nilske tilapije (Oreochromis niloticus L.). U istraživanju je korišćeno ukupno trideset šest odraslih mužjaka tilapije. Ribe su žrtvovane i pojedinačno merene pomoću elektronske vage. Evidentirano je šest linearnih telesnih mera: ukupna dužina (TOL), standardna dužina (STL), širina tela (BWI), obim tela (BPE), visina tela (BHE) i dužina glave (HEL). Takođe, ribe su obrađene da bi se odredila težina trupa (CWE), težina unutrašnjih organa (VIW), težina glave (HEW), težina fileta (FIW), težina kičme (BAW), kao i prinos trupa (CYI) i fileta (FIY). Rezultati su pokazali da srednje vrednosti za BW, telesne mere i karakteristike trupa pokazuju nisku do umerenu varijabilnost, varirajući od 3,45% za TOL do 26,74% za HEW. Pirsonovi koeficijenti korelacije kretali su se od umerenog do visokog (0.342 = r = 0.869). Sve linearne telesne mere, osim HEL, pokazale su pozitivne korelacije sa BW (P<0,001). Takođe, BW je pokazala pozitivne korelacije (P<0,05; P<0,001) sa CWE (r= 0,869), FIW (r= 0,638), VIW (r= 0,395) i BAW (r= 0,360). Rezultati postupne regresione analize pokazali su da se BW može umereno predvideti korišćenjem BHE i STL kao prediktorskih varijabli. Pored toga, BW je bila osobina od većeg značaja u predviđanju CWE (R2 = 75,6%) i FIW (R2 = 40,7%). Ovi rezultati doprinose donošenju odluka u vezi sa programima uzgoja ove vrste akvakulture. [ABSTRACT FROM AUTHOR]
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Author Affiliations: 1Tecnológico Nacional de México, Instituto Tecnológico Superior de Calkiní. C.P. 24900, Calkiní, Campeche, México
ISSN: 1450-9156
DOI: 10.2298/BAH2501025P
Přístupové číslo: 186188737
Databáze: Veterinary Source
Popis
Abstrakt:This study was conducted to evaluate the relationship between the body weight (BW), body measurements and carcass characteristics to determine the usefulness of body measurements in prediction of BW and fillet and carcass weight of Nile tilapia (Oreochromis niloticus L.). In the study, a total of thirty-six adult male tilapia specimens were used. The fish were killed and weighed individually using an electronic scale. Six linear body measurements were recorded: total length (TOL), standard length (STL), body width (BWI), body perimeter (BPE), body height (BHE) and head length (HEL). Likewise, the fish were processed to determine the carcass weight (CWE), viscera weight (VIW), head weight (HEW), fillet weight (FIW), backbone weight (BAW) as well as carcass (CYI) and fillet (FIY) yields. The results of the study indicated that the mean values of BW, body measurements and carcass characteristics presented low to moderate variability, varying from 3.45% for TOL to 26.74% for HEW. The Pearson correlation coefficients ranged from moderate to high (0.342 = r = 0.869). All the linear body measurements, except HEL, showed positive correlations with BW (P<0.001). Also, BW showed positive correlations (P<0.05; P<0.001) with the CWE (r= 0.869), FIW (r= 0.638), VIW (r= 0.395) and BAW (r= 0.360). The results of the stepwise regression analysis revealed that BW can be moderately predicted using BHE and STL as the predictor's variable. Besides, BW was the traits of higher importance in the prediction of CWE (R2 = 75.6%) and FIW (R2 = 40.7%). These findings contribute to decision making related to breeding programs of this aquaculture species. [ABSTRACT FROM AUTHOR]
ISSN:14509156
DOI:10.2298/BAH2501025P