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Genetic evaluation of feed efficiency in the breeding population of Fenneropenaeus chinensis “Huanghai No. 2” using phenotypic, pedigree and genomic information

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Abstract

Genetic evaluation of feed efficiency for Fenneropenaeus chinensis was implemented in the breeding population of “Huanghai No. 2” using phenotypic, pedigree and genomic information via a single-step genomic best linear unbiased prediction method (ssGBLUP). Feed efficiency ratio (FER) and average daily gain (ADG) were recorded individually during the grow-out period in 51 full-sib families from the breeding population. High level of inter-individual variation (0.055–0.593) existed in FER. Marginal means of families for FER (0.115–0.388) displayed large inter-family variation. A total of 123 individuals in the pedigree were genotyped with 14,165 single nucleotide polymorphism (SNP) markers, which were used to construct a genomic relationship matrix. Heritability estimate of FER based on pedigree and genomic information reached a moderate level (0.259 ± 0.101), which was not significantly different from that based on only pedigree (P > 0.05). FER exhibited strong and positive genetic and phenotypic correlations (> 0.80) with ADG. ssGBLUP and the pedigree-based method were found to be consistent in predicting breeding values. No clear differences in accuracy were observed between the two methods through cross-validation. Although the heritability estimate of FER highlights the potential to implement breeding programs for feed efficiency in Huanghai No. 2, indirect selection for FER through increased growth may be a better choice considering the difficulty of measuring individual FER in shrimps.

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References

  • Aggrey SE, Karnuah AK, Sebastian B, Anthony NB (2010) Genetic properties of feed efficiency parameters in meat-type chickens. Genet Sel Evol 42:25

    Article  PubMed  PubMed Central  Google Scholar 

  • Aguilar I, Misztal I, Johnson DL, Legarra A, Tsuruta S, Lawlor TJ (2010) Hot topic: a unified approach to utilize phenotypic, full pedigree, and genomic information for genetic evaluation of Holstein final score. J Dairy Sci 93:743–752

    Article  CAS  PubMed  Google Scholar 

  • Alanara A, Burns MD, Metcalfe NB (2001) Intraspecific resources partitioning in brown trout: the temporal distribution of foraging is determined by social rank. J Anim Ecol 70:980–986

    Article  Google Scholar 

  • Arthur P, Renand G, Krauss D (2001) Genetic and phenotypic relationships among different measures of growth and feed efficiency in young Charolais bulls. Livest Prod Sci 68:131–139

    Article  Google Scholar 

  • Baloche G, Legarra A, Sallé G, Larroque H, Astruc JM, Robert-Granié C, Barillet F (2014) Assessment of accuracy of genomic prediction for French Lacaune dairy sheep. J Dairy Sci 97:1107–1116

    Article  CAS  PubMed  Google Scholar 

  • Bérénos C, Ellis PA, Pilkington JG, Pemberton JM (2014) Estimating quantitative genetic parameters in wild populations: a comparison of pedigree and genomic approaches. Mol Ecol 23:3434–3451

    Article  PubMed  PubMed Central  Google Scholar 

  • Case LA, Wood BJ, Miller SP (2012) The genetic parameters of feed efficiency and its component traits in the turkey (Meleagris gallopavo). Genet Sel Evol 44:2

    Article  PubMed  PubMed Central  Google Scholar 

  • Chen C, Misztal I, Aguilar I, Tsuruta S, Aggrey S, Wing T, Muir W (2011a) Genome-wide marker-assisted selection combining all pedigree phenotypic information with genotypic data in one step: an example using broiler chickens. J Anim Sci 89:23–28

    Article  CAS  PubMed  Google Scholar 

  • Chen CY, Misztal I, Aguilar I, Legarra A, Muir WM (2011b) Effect of different genomic relationship matrices on accuracy and scale. J Anim Sci 89:2673–2679

    Article  CAS  PubMed  Google Scholar 

  • Christensen OF, Lund MS (2010) Genomic prediction when some animals are not genotyped. Genet Sel Evol 42:2

    Article  PubMed  PubMed Central  Google Scholar 

  • Csilléry K, Johnson T, Beraldi D, Clutton-Brock T, Coltman D, Hansson B, Spong G, Pemberton JM (2006) Performance of marker-based relatedness estimators in natural populations of outbred vertebrates. Genetics 173:2091–2101

    Article  PubMed  PubMed Central  Google Scholar 

  • Durunna ON, Mujibi FDN, Goonewardene L, Okine EK, Basarab JA, Wang Z, Moore SS (2011) Feed efficiency differences and reranking in beef steers fed grower and finisher diets. J Anim Sci 89:158–167

    Article  CAS  PubMed  Google Scholar 

  • Fan LQ, Bailey DR, Shannon NH (1995) Genetic parameter estimation of postweaning gain, feed intake, and feed efficiency for Hereford and Angus bulls fed two different diets. J Anim Sci 73:365–372

    Article  CAS  PubMed  Google Scholar 

  • Forni S, Aguilar I, Misztal I (2011) Different genomic relationship matrices for single step analysis using phenotypic, pedigree and genomic information. Genet Sel Evol 43:1

    Article  PubMed  PubMed Central  Google Scholar 

  • Gitterle T, Rye M, Salte R, Cock J, Johansen H, Lozano C, Suárez JA, Gjerde B (2005a) Genetic (co)variation in harvest body weight and survival in Penaeus (Litopenaeus) vannamei under standard commercial conditions. Aquaculture 243:83–92

    Article  Google Scholar 

  • Gitterle T, Salte R, Gjerde B, Cock J, Johansen H, Salazar M, Lozano C, Rye M (2005b) Genetic (co)variation in resistance to White Spot Syndrome Virus (WSSV) and harvest weight in Penaeus (Litopenaeus) vannamei. Aquaculture 246:139–149

    Article  Google Scholar 

  • Grima L, Quillet E, Boujard T, Robert-Granié C, Chatain B, Mambrini M (2008) Genetic variability in residual feed intake in rainbow trout clones and testing of indirect selection criteria. Genet Sel Evol 40:607–624

    PubMed  PubMed Central  Google Scholar 

  • Hart PJB, Salvanes AGV (2000) Causes of competitive performance variation in juvenile cod. J Mar Biol Assoc UK 80:569–570

    Article  Google Scholar 

  • Henryon M, Jokumsen A, Berg P, Lund I, Pedersen PB, Olesen NJ, Slierenrecht WJ (2002) Genetic variation for growth rate, feed conversion efficiency, and disease resistance exists within a farmed population of rainbow trout. Aquaculture 209:59–76

    Article  Google Scholar 

  • Kause A, Tobin D, Dobly A, Houlihan D, Martin S, Mäntysaari EA, Ritola O, Ruohonen K (2006) Recording strategies and selection potential of feed intake measured using the X-ray method in rainbow trout. Genet Sel Evol 38:389–409

    Article  PubMed  PubMed Central  Google Scholar 

  • Krishna G, Gopikrishna G, Gopal C, Jahageerdar S, Ravichandran P, Kannappan S, Pillai SM, Paulpandi S, Kiran RP, Saraswati R, Venugopal G, Kumar D, Gitterle T, Lozano C, Rye M, Hayes B (2011) Genetic parameters for growth and survival in Penaeus monodon cultured in India. Aquaculture 318:74–78

    Article  Google Scholar 

  • Legarra A, Aguilar I, Misztal I (2009) A relationship matrix including full pedigree and genomic information. J Dairy Sci 92:4656–4663

    Article  CAS  PubMed  Google Scholar 

  • Li YQ, Li J, Wang QY (2006) The effects of dissolved oxygen concentration and stocking density on growth and non-specific immunity factors in Chinese shrimp, Fenneropenaeus chinensis. Aquaculture 256:608–616

    Article  Google Scholar 

  • Luan S, Yang GL, Wang JY, Luo K, Zhang YF, Gao Q, Hu HL, Kong J (2012) Genetic parameters and response to selection for harvest body weight of the giant freshwater prawn Macrobrachium rosenbergii. Aquaculture 362–363:88–96

    Article  Google Scholar 

  • Luo K, Kong J, Luan S, Meng XH, Zhang TS, Wang QY (2014) Effect of inbreeding on survival, WSSV tolerance and growth at the postlarval stage of experimental full-sibling inbred populations of the Chinese shrimp Fenneropenaeus chinensis. Aquaculture 420–421:32–37

    Article  Google Scholar 

  • Lynch M, Walsh B (1998) Genetics and analysis of quantitative traits. Sinauer Associates, Massachusetts

    Google Scholar 

  • Martins CIM, Schrama JW, Verreth JAJ (2005) Inherent variation in growth efficiency of African catfish Clarias gariepinus (Burchell, 1822) juveniles. Aquac Res 36:868–875

    Article  Google Scholar 

  • McCarthy ID, Carter CG, Houlihan DF (1992) The effect of feeding hierarchy on individual variability in daily feeding of rainbow trout Oncorhynchus mykiss (Walbaum). J Fish Biol 41:257–263

    Article  Google Scholar 

  • Misztal I, Legarra A, Aguilar I (2009) Computing procedures for genetic evaluation including phenotypic, full pedigree, and genomic information. J Dairy Sci 92:4648–4655

    Article  CAS  PubMed  Google Scholar 

  • Misztal I, Tsuruta S, Strabel T, Auvray B, Druet T, Lee D (2002) BLUPF90 and related programs (BGF90). In: Proceedings of the 7th World Congress on Genetics Applied to Livestock Production, Montpellier, 19–23 August 2002

  • Neely KG, Myers JM, Hard JJ, Shearer KD (2008) Comparison of growth, feed intake, and nutrient efficiency in a selected strain of coho salmon (Oncorhynchus kisutch) and its source stock. Aquaculture 283:134–140

    Article  Google Scholar 

  • Nguyen NH, Khaw HL, Ponzoni RW, Hamzah A, Kamaruzzaman N (2007) Can sexual dimorphism and body shape be altered in Nile tilapia (Oreochromis niloticus) by genetic means? Aquaculture 272:38–46

    Article  Google Scholar 

  • Nkrumah JD, Basarab JA, Wang Z, Li C, Price MA, Okine EK, Crews DH, Moore SS (2007) Genetic and phenotypic relationships of feed intake and measures of efficiency with growth and carcass merit of beef cattle. J Anim Sci 85:2711–2720

    Article  CAS  PubMed  Google Scholar 

  • Onogi A, Ogino A, Komatsu T, Shoji N, Simizu K, Kurogi K, Yasumori T, Togashi K, Iwata H (2014) Genomic prediction in Japanese Black cattle: application of a single-step approach to beef cattle. J Anim Sci 92:1931–1938

    Article  CAS  PubMed  Google Scholar 

  • Pante MJR, Gjerde B, McMillan I, Misztal I (2002) Estimation of additive and dominance genetic variances for body weight at harvest in rainbow trout, Oncorhynchus mykiss. Aquaculture 204:383–392

    Article  Google Scholar 

  • Qian X, Cui Y, Xie S, Lei W, Xiong B, Yang Y (2002) Individual variations in growth, food intake and activity in juvenile Chinese sturgeon Acipenser sinensis Gray. J Appl Ichthyol 18:695–698

    Article  Google Scholar 

  • Rutten MJM, Komen H, Bovenhuis H (2005) Longitudinal genetic analysis of Nile tilapia (Oreochromis niloticus L.) body weight using a random regression model. Aquaculture 246:101–113

    Article  Google Scholar 

  • Santana MHA, Oliveira Junior GA, Gome RC, Silva SL, Leme PR, Stella TR, Mattos EC, Rossi Junior P, Baldi FS, Eler JP, Ferraz JBS (2014) Genetic parameter estimates for feed efficiency and dry matter intake and their association with growth and carcass traits in Nellore cattle. Livest Sci 167:80–85

    Article  Google Scholar 

  • Schenkel FS, Miller SP, Wilton JW (2004) Genetic parameters and breed differences for feed efficiency, growth and body composition traits of young beef bull. Can J Anim Sci 84:177–185

    Article  Google Scholar 

  • Sui J, Luan S, Luo K, Meng XH, Cao BX, Liu N, Li WJ, Lu X, Chai Z, Kong J (2016) Genetic parameters and response to selection of harvest body weight of the Chinese shrimp Fenneropenaeus chinensis after five generations of multi-trait selection. Aquaculture 452:134–141

    Article  Google Scholar 

  • Tan RKH, Dominy WG (1997) Commercial pelleting of crustacean feeds. In: D’Abramo LR, Conklin DE, Akiyama DM (eds) Crustacean nutrition. The World Aquaculture Society, Baton Rouge, pp 520–549

    Google Scholar 

  • Thodesen J, Grisdale-Helland B, Helland SJ, Gjerde B (1999) Feed intake, growth and feed utilization of offspring from wild and selected Atlantic salmon Salmo salar. Aquaculture 180:237–246

    Article  Google Scholar 

  • Thodesen J, Gjerde B, Grisdale-Helland B, Storebakken T (2001) Genetic variation in feed intake, growth and feed utilization in Atlantic salmon Salmo salar. Aquaculture 194:273–281

    Article  Google Scholar 

  • VanRaden PM (2008) Efficient methods to compute genomic predictions. J Dairy Sci 91:4414–4423

    Article  CAS  PubMed  Google Scholar 

  • Vitezica ZG, Aguilar I, Misztal I, Legarra A (2011) Bias in genomic predictions for populations under selection. Genet Res 93:357–366

    Article  CAS  Google Scholar 

  • Wang N, Hayward RS, Noltie DB (1998) Variation in food consumption, growth, and growth efficiency among juvenile hybrid sunfish held individually. Aquaculture 167:43–52

    Article  Google Scholar 

  • Wang S, Meyer E, McKay JK, Matz MV (2012) 2b-RAD: a simple and flexible method for genome-wide genotyping. Nat Methods 9:808–810

    Article  CAS  PubMed  Google Scholar 

  • Yang J, Benyamin B, McEvoy BP, Gordon S, Henders AK, Nyholt DR, Madden PA, Heath AC, Martin NG, Montgomery GW, Goddard ME, Visscher PM (2010) Common SNPs explain a large proportion of the heritability for human height. Nat Genet 42:565–569

    Article  CAS  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

The study was supported by the National Natural Science Foundation of China (31572616, 31372523, 41676148) and the Improved Agricultural Breeds Engineering Project of Shandong Province—the Taishan Scholar Program for seed industry “Multi-Tarits Selective Breeding of New Variety and Its Industrialization.”

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Correspondence to Jie Kong.

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Dai, P., Luan, S., Lu, X. et al. Genetic evaluation of feed efficiency in the breeding population of Fenneropenaeus chinensis “Huanghai No. 2” using phenotypic, pedigree and genomic information. Aquacult Int 25, 2189–2200 (2017). https://doi.org/10.1007/s10499-017-0182-6

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  • DOI: https://doi.org/10.1007/s10499-017-0182-6

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