Genetic parameters and genotype by environment interaction for harvest traits of Malabar red snapper (Lutjanus malabaricus)

被引:0
|
作者
Liang, Bing [1 ,2 ]
Jerry, Dean R. [1 ,4 ]
Nguyen, Vu [1 ]
Shen, Xueyan [1 ]
Koh, Joyce [1 ,3 ]
Terence, Celestine [1 ]
Nayfa, Maria G. [1 ,3 ]
Carrai, Maura [1 ]
Kathiresan, Purushothaman [1 ,3 ,5 ]
Ho, Rachel Jia Wen [1 ,3 ]
Mohamed, Hazim [1 ,3 ]
Tneo, Saraphina Dianne Rwei Qing [3 ]
Loo, Grace [3 ]
Vij, Shubha [1 ,3 ]
Domingos, Jose A. [1 ]
机构
[1] James Cook Univ, Trop Futures Inst, 149 Sims Dr, Singaporechi 387380, Singapore
[2] Singapore Food Agcy, Marine Aquaculture Ctr, 52 Jurong Gateway Rd,JEM Off Tower 14-01, Singapore 608550, Singapore
[3] Republ Polytech, Sch Appl Sci, 9 Woodlands Ave 9, Singapore 738964, Singapore
[4] James Cook Univ, ARC Hub Supercharging Trop Aquaculture Genet Solut, Townsville, Qld 4810, Australia
[5] Norwegian Univ Life Sci, Fac Vet Med, Dept Preclin Sci & Pathol, N-1433 As, Norway
关键词
Lutjanus malabaricus; Genetic parameters; Selective breeding; Genotype by environment interactions; TROUT ONCORHYNCHUS-MYKISS; RAINBOW-TROUT; GROWTH TRAITS; AQUACULTURE SYSTEM; SKIN PIGMENTATION; LATES-CALCARIFER; HERITABILITY; BARRAMUNDI; SELECTION; POPULATION;
D O I
10.1016/j.aquaculture.2025.742247
中图分类号
S9 [水产、渔业];
学科分类号
0908 ;
摘要
Malabar red snapper (Lutjanus malabaricus) is a tropical fish farmed in Singapore and Southeast Asia. Currently, eggs are produced in open net cages without controlled breeding, and no breeding program exists. The industry needs access to high-quality eggs from genetically improved stocks, highlighting the importance of developing a breeding program. However, fundamental genetic information, such as heritability and genetic correlations, is needed before implementing such a program. In this study, 2547 Malabar red snappers were genotyped using a custom Axiom 70k Red Snapper SNP array across three different rearing sites in Singapore. The body weight (BW), total length (TL), body depth (BD), Fulton's condition factor (K), body shape index (BSI) and skin redness (CIELAB *a values; Cla) of the fish were collected at harvest when fish were 18 months old. The mean f standard deviation (SD) of all fish samples were 635.1 f 222.7 g (BW), 327.0 f 39.4 mm (TL), 115.2 f 14.4 mm (BD), 1.76 f 0.23 (K), 3.63 f 0.24 (BSI) and 4.6 f 2.9 (Cla). Heritabilities (h2), genetic correlations (rg) and genotype by environment interactions (GxE interaction) were estimated using BLUPF90 with an animal mixed model using the genomic relationship matrix (GRM). Heritabilities were observed to be moderate for BW (0.29 f 0.03), TL (0.30 f 0.03), BD (0.39 f 0.05), K (0.21 f 0.03) and BSI (0.21 f 0.03), but low for Cla (0.04 f 0.02). High genetic correlations were present among both growth (BW, TL and BD, rg >= 0.90) and body-shape traits (K and BSI, rg = 0.91), but lower for comparisons between growth (BW and BD) and body-shape traits (K and BSI) (0.21 f 0.10 to 0.43 f 0.09). These results indicate that both harvest growth traits and body shape of Malabar red snapper could be improved via selective breeding programs, although selection of fast growers might not maximize the genetic gain for K and BSI. In contrast, the low h2 of red colouration suggested that environmental factors (e.g. dietary carotenoids) rather than genetic effects may be primarily responsible for the phenotypic variation observed in skin redness. Moderate GxE interactions were observed for BW (0.45 f 0.25 to 0.60 f 0.27), TL (0.31 f 0.24 to 0.57 f 0.27), BD (0.40 f 0.24), K (0.36 f 0.25 to 0.73 f 0.91) and BSI (0.73 f 0.26) among the three rearing sites, suggesting that a single breeding program may not deliver equal genetic gains for all farms alike, and that genomic selection algorithms should be trained on the rearing site where animals are to be farmed. In conclusion, the present study provided valuable information for the design of future selective breeding programs for Malabar red snapper.
引用
收藏
页数:9
相关论文
共 50 条
  • [31] Evaluation of Energy Utilisation Efficiencies of Digestible Macronutrients in Juvenile Malabar Snapper (Lutjanus malabaricus) Reveals High Protein Requirement for Optimal Growth Using Both Factorial and Multifactorial Approaches
    Ngoh, Si Yan
    Shen, Xueyan
    Nankervis, Leo
    Hua, Katheline
    AQUACULTURE NUTRITION, 2024, 2024 (01)
  • [32] Genotype by environment interaction and genetic parameter estimates for growth traits of Tabapua cattle
    Fridrich, AB
    Silva, MA
    Fridrich, D
    Correa, GSS
    Silva, LOC
    Sakaguti, ES
    Ferreira, IC
    Valente, BD
    ARQUIVO BRASILEIRO DE MEDICINA VETERINARIA E ZOOTECNIA, 2005, 57 (05) : 663 - 672
  • [33] Genetic parameters and genotype by environment interaction for body weight of Oreochromis shiranus
    Maluwa, Alfred Ochanza
    Gjerde, Bjarne
    Ponzoni, Raul W.
    AQUACULTURE, 2006, 259 (1-4) : 47 - 55
  • [34] Genetic parameters and genotype-environment interaction for growth traits of North African catfish, Clarias gariepinus (Burchell, 1822)
    Srimai, Witsanu
    Koonawootrittriron, Skorn
    Manee-Aphai, Wiroon
    Chatchaiphan, Satid
    Koolboon, Urai
    Na-Nakorn, Uthairat
    AQUACULTURE, 2019, 501 : 104 - 110
  • [35] Genotype x environment interaction for morphoagronomic traits and color parameters in cassava in the Central Amazon
    Costa, E., I
    Ticona-Benavente, C. A.
    da Silva Filho, D. F.
    GENETICS AND MOLECULAR RESEARCH, 2022, 21 (04):
  • [36] Genetic parameters and genotype by environment interaction for growth traits of razor clam Sinonovacula constricta, from outdoor pond and semi-natural environment
    Chen, Yihua
    Chen, Yukuan
    Tao, Liang
    Du, Xinxin
    Dong, Zhiguo
    Niu, Donghong
    Li, Jiale
    AQUACULTURE REPORTS, 2022, 24
  • [37] Genetic variation, heritability and genotype by environment interaction of morphological traits in a tetraploid rose population
    Gitonga, Virginia W.
    Koning-Boucoiran, Carole F. S.
    Verlinden, Kathryn
    Dolstra, Oene
    Visser, Richard G. F.
    Maliepaard, Chris
    Krens, Frans A.
    BMC GENETICS, 2014, 15
  • [38] Genotype-environment interaction in the genetic variability analysis of reproductive traits in Nellore cattle
    Silva, Thales de Lima
    Souza Carneiro, Paulo Luiz
    Ambrosini, Diego Pagung
    Lobo, Raysildo Barbosa
    Martins Filho, Raimundo
    Mendes Malhado, Carlos Henrique
    LIVESTOCK SCIENCE, 2019, 230
  • [39] Genetic variance of sexually selected traits in waxmoths: Maintenance by genotype x environment interaction
    Jia, FY
    Greenfield, MD
    Collins, RD
    EVOLUTION, 2000, 54 (03) : 953 - 967
  • [40] Genetic variation, heritability and genotype by environment interaction of morphological traits in a tetraploid rose population
    Virginia W Gitonga
    Carole FS Koning-Boucoiran
    Kathryn Verlinden
    Oene Dolstra
    Richard GF Visser
    Chris Maliepaard
    Frans A Krens
    BMC Genetics, 15