Genotype by environment interaction for carcass traits and intramuscular fat content in heavy Iberian pigs fattened in two different free-range systems

  1. García Casco, Juan M.
  2. Muñoz, María
  3. Silió López, L.
  4. Rodriguez Valdovinos, M. Carmen
Revue:
Spanish journal of agricultural research

ISSN: 1695-971X 2171-9292

Année de publication: 2014

Volumen: 12

Número: 2

Pages: 388-395

Type: Article

DOI: 10.5424/SJAR/2014122-4840 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

D'autres publications dans: Spanish journal of agricultural research

Résumé

Genotype by environment interaction (G×E) is a potential source of reduced efficiency in genetic improvement programs in livestock. The objective of the current work consisted of checking the existence of G×E interaction in carcass traits and in intramuscular fat content (IMF) in Iberian pigs fattened in two free-range systems. Genetic component and estimated breeding values (EBV) of the percentage of hams, shoulders and loins and IMF in loin were obtained from records of 4,348 and 1,818 pigs fattened in campo (C) and montanera (M) systems, respectively. A multitrait model where the performances of each system are considered as different traits was implemented. Three selection indexes were built with different treatments about the quality trait, two of them based in the optimal trait theory. The Pearson correlation between EBV and indexes and the Spearman correlation between the rankings of progenies of 21 boars fattened in both systems were calculated. Heritability results were different in both systems (h2 range from 0.43 to 0.66 and from 0.24 to 0.33 in C and M system, respectively) and genetic correlation of same traits expressed in the two systems also pointed out to a weak G×E interaction (0.64, 0.67 and 0.66 in hams, shoulders and IMF, respectively). Pearson and Spearman correlations were always significantly different to 1. The obtained results advised to consider this G×E interaction in the analysis model of a breeding program focused on free range production system and to include IMF in the index selection assuming an optimum range for this quality trait, in order to avoid negative effects of selection for carcass performances

Références bibliographiques

  • Brascamp EW, 1984. Selection indices with constrains. Anim Breed Abs 52 (9): 645-654.
  • De Pedro EJ, Garrido A, Bares I, Casillas M, Murray I, 1992. Application of near infrared spectroscopy for quality control of Iberian pork industry. In: Near infra-red spectroscopy bridging the gap between data analysis and NIR applications (Hildrum KI, Isaksson T, Nae T, & Tandberg A eds.). Ellis Horwood, NY, pp. 345-348.
  • Dominik S, Kinghorn BP, 2008. Neglecting genotype by environment interaction results in biased predictions from selection index calculations. Livest Sci 114: 233-240. http://dx.doi.org/10.1016/j.livsci.2007.05.004
  • Falconer DS, 1952. The problem of environment and selection. Amer Nat 86: 293-298. http://dx.doi.org/10.1086/281736
  • Fernández A, de Pedro, E, Nú-ez, N, Silió, L, García Casco, JM, Rodríguez, C, 2003. Genetic parameters for meat quality and carcass composition trait in iberian pigs. Meat Sci 64: 405-410. http://dx.doi.org/10.1016/S0309-1740(02)00207-3
  • García Casco JM, 1993. Aspectos genéticos de la mejora de caracteres de crecimiento en cerdos Ibéricos. Doctoral Thesis. Univ. Complutense, Madrid, Spain.
  • Groeneveld E, Kovac M, Wang T, 1999. Multivariate prediction and estimation 4.1. (PEST). Dept Anim Sci, Univ of Illinois, USA.
  • Kovac M, Groeneveld E, Mielenz N, 2008. Variance components estimation 6.0.2. (VCE-6). Institute of Farm Animal Genetics. Neustadt, Germany.
  • Hovenier R, Brascamp EW, Kanis E, van de Werf JHJ, Wassenberg AP, 1993. Economic values of optimum traits: the example of meat quality in pigs. J Anim Sci 71: 1429-1433.
  • Lopez-Bote CJ, 1998. Sustained utilization of the Iberian pig breed. Meat Sci 49: S17-S27. http://dx.doi.org/10.1016/S0309-1740(98)90036-5
  • Montaldo HH, 2001. Genotype by environment interactions in livestock breeding programs: a review. Interciencia 26 (6): 229-235.
  • Mulder HA, 2007. Methods to optimize livestock breeding programs with genotype by environment interaction and genetic heterogeneity of environmental variance. Ph. D. Thesis. Univ. of Wageningen, Netherlands.
  • Robertson A, 1959. The sampling variance of the genetic correlation coefficients. Biometrics 15: 469-485. http://dx.doi.org/10.2307/2527750
  • Silió L, 2000. Iberian pig breeding program. In: Developing breeding strategies for lower input animal production environments (Galal S, Boyazoglou J, & Hammond K eds.). ICAR, Rome, pp. 511-519.
  • Smith C, James JW, Brascamp EW, 1986. On the derivation of economic weights in livestock improvement. Anim Prod 43: 545-551. http://dx.doi.org/10.1017/S0003356100002750
  • Vallée A, 2007. Analysis of the genotype by environment interaction for post weaning growth traits in tropical Creole cattle breed using the random regression model. Minor Thesis. INRA, Guadeloupe, France.
  • Von Rohr P, Hofer A, Künzi N, 1999. Economic value for meat quality traits in pigs. J Anim Sci 77: 2633-2640.
  • Wallenbeck A, Rydhmer L, Lundeheim N, 2009. G×E interactions for growth and carcass-leaness: Re-ranking of boars in organic and conventional pig production. Livest Sci 123: 154-160. http://dx.doi.org/10.1016/j.livsci.2008.11.003