Effect of Divergent Genetic Selection for Growth on Spawning Quality in Gilthead Seabream (Sparus aurata)

Authors:

Cathaysa Pérez-García, Álvaro Lorenzo-Felipe, Ferosekhan Shajahan, Hyun Suk Shin, Sergi León-Bernabeu, Marisol Izquierdo, Daniel Montero, Rafael Ginés, Juan Manuel Afonso-López, María Jesús Zamorano

Summary

Gilthead seabream (Sparus aurata) is a prominent aquaculture species in Europe; however, the repercussions of growth-oriented selective breeding on reproductive performance under industrial conditions have not been adequately characterised. The present study evaluated the influence of divergent Best Liner Unbiased Prediction (BLUP)-based selection for low growth (LG) (n = 49; mean weigh ± SD = 842 ± 189 g) and high growth (HG) (n = 50; mean weight ± SD = 1127 ± 407 g) on spawning quality throughout the commercial mass-spawning season. A number of significant differences were detected between the genetic lines. The LG broodstock produced substantially higher oocyte yields and numbers of fertilised eggs (26% and 25% increases, respectively), indicating greater quantitative reproductive output. In contrast, the HG line exhibited marginally higher fertilisation, egg viability, and hatching rates, indicative of enhanced early developmental efficiency. Despite these contrasting patterns, both lines exhibited similar numbers of viable eggs, larvae, and comparable larval survival. These findings demonstrate that selection for growth impacts reproductive traits through different pathways: The selection of HG results in an enhancement of developmental performance, while the selection of LG leads to an optimisation of egg production. Across the spawning period, oocyte yield was identified as the primary driver of overall spawn quality. The findings of this study offer pertinent insights into the optimisation of broodstock management and the enhancement of sustainability and efficiency in gilthead seabream aquaculture.

Journal
Animals
Online ISSN
2076-2615
Volume
15
Article number
3527
Issue
24
Year
2025
Pages
1-15
Language
English

Publication type Academic article

Scientific value 2025
LevelOne