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Article

Genetic parameters for whole weight and survival rate of the Portuguese oyster, Crassostrea angulata at different harvest stages after six generations of selection

Details

Citation

Vu IV, Boudry P, Vengatesen T, Gheyas AA, Khanh TD, Nguyen TM, Htoo H, Kim HW, Kundu S, Minh TTN, Trung DTT, Nguyen TTA, Thu LT, O’Connor W & Luu GTH (2025) Genetic parameters for whole weight and survival rate of the Portuguese oyster, Crassostrea angulata at different harvest stages after six generations of selection. Aquaculture International, 33, Art. No.: 238. https://doi.org/10.1007/s10499-025-01925-w

Abstract
The Portuguese oyster, Crassostrea angulata, is an important aquaculture bivalve species in Asia. This study was carried out to estimate genetic parameters at 240 days, 300 days and 365 days for survival rate and whole weight over six generations of selection. The phenotypic measurements for whole weight and survival rate at 240, 300 and 360 days were collected from the fourth to sixth generations. A linear mixed model was used to estimate heritability and genetic correlations at 240, 300 and 365 days after fertilization for whole weight, and a generalized linear mixed model was used to estimate heritability and genetic correlations at 240, 300 and 365 days for survival rate. Heritability estimates for whole weight were moderate at three studied times, ranging from 0.10 to 0.18. Heritability estimates for survival (h2?=?0.11–0.12) whole weight trait and estimates of genetic correlations between survival and whole weight at the three studied ages were moderate to high (0.55–0.77), suggesting that selection to improve one trait at specific, for example, 240 days, 300 days or 365 days, can result in favourable changes in another trait.

Keywords
Crassostrea angulata; Portuguese oyster; Survival rate; Whole weight; Genetic parameters; Early ages

Notes
Additional authors: Nhat Hong Pham, Nguyen Khac Tiep & Sang Van Vu

StatusPublished
Publication date31/03/2025
Publication date online31/03/2025
Date accepted by journal11/03/2025
ISSN0967-6120
eISSN1573-143X

People (1)

Dr Almas Gheyas

Dr Almas Gheyas

Lecturer in Aquaculture Production Scien, Institute of Aquaculture