IIMYC 23581
INSTITUTO DE INVESTIGACIONES MARINAS Y COSTERAS
Unidad Ejecutora - UE
artículos
Título:
Juveniles recruitment and daily growth of the southern stock of Mugil liza (Actinopterygii; Fam. Mugilidae): new evidence for the current life-history model
Autor/es:
DAMIÁN CASTELLINI;D. BROWN; N.A. LAJUD; J.M DÍAZ DE ASTARLOA; MARIANO GONZÁLEZ- CASTRO; MARIANO GONZÁLEZ- CASTRO; DAMIÁN CASTELLINI;D. BROWN; N.A. LAJUD; J.M DÍAZ DE ASTARLOA
Revista:
JOURNAL OF THE MARINE BIOLOGICAL ASSOCIATION OF THE UNITED KINGDOM
Editorial:
CAMBRIDGE UNIV PRESS
Referencias:
Lugar: Cambridge; Año: 2019 vol. 99 p. 204 - 215
ISSN:
0025-3154
Resumen:
Mugil liza is distributed along the western Atlantic coast. It is a commercially exploited species in Argentina, supporting asmall-scale fishery conducted by an artisanal fleet. Age determination of fishes constitutes an important key issue forfishery management. The age, growth and recruitment of M. liza juveniles in Mar Chiquita coastal lagoon and LasBrusquitas creek (Buenos Aires, Argentina), were estimated by means of the analysis of the sagittal otoliths of fish collectedduring January to December of 2014. Ages were estimated by counting and measuring daily growth increments in otolithsunder a light microscope. A total of 735 specimens ranging from 19 to 71.5 mm SL and from 67 to 212 days age was analysed.Lengths at previous ages were determined by back-calculation, a linear growth model was fitted to the back-calculated data:SL ¼ 0.2468 + 2.0516; R2 ¼ 0.9945. Two peaks of recruiters were observed from February to March, and from October toNovember in 2014. Mean ages in days of Querimana and juveniles at the recruitment time were 84.07 +14.43 days and87.56+ 19.51 days, respectively. The hatching dates of specimens showed two spawning seasons. One was from December2013 to January 2014, and the second one from July to August 2014. The assessment carried on this work generated age determinationvalues that support previous findings, contributing to make a more accurate description of the life-history modelcurrently used. In addition, valuable information has been generated to give better advice for improving the managementof the fishery resource.
