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Factor analysis for genetic evaluation of linear type traits in dual-purpose autochthonous breeds

Published online by Cambridge University Press:  11 September 2015

S. Mazza ,
N. Guzzo ,
C. Sartori  and
R. Mantovani
S. Mazza*
Affiliation:
Department of Agronomy Food Natural Resources Animal Environment, University of Padua, Agripolis, 35020 Legnaro, Padova, Italy
N. Guzzo
Affiliation:
Department of Agronomy Food Natural Resources Animal Environment, University of Padua, Agripolis, 35020 Legnaro, Padova, Italy
C. Sartori
Affiliation:
Department of Agronomy Food Natural Resources Animal Environment, University of Padua, Agripolis, 35020 Legnaro, Padova, Italy
R. Mantovani
Affiliation:
Department of Agronomy Food Natural Resources Animal Environment, University of Padua, Agripolis, 35020 Legnaro, Padova, Italy
*
†E-mail: serena.mazza@studenti.unipd.it
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Abstract

Factor analysis was applied to individual type traits (TT) scored in primiparous cows belonging to two dual purpose Italian breeds, Rendena (REN; 20 individual type traits evaluated on 11 399 first parity cows), and Aosta Red Pied (ARP; 22 individual type traits evaluated on 36 168 primiparous cows). Six common latent factors (F1 to F6; eigenvalues ⩾1) which explained 63% (REN) and 58% (ARP) of the total variance were obtained. F1 included TT mainly related to muscularity, and F2 to body size. The F3 and F4 accounted for udder size and conformation, respectively. F5 included rear legs and feet. Biological significance for F6 was not readily obtained. Moderate to low heritability were estimated through REML single-trait analysis from factor scores (from 0.22 to 0.52 in REN, and from 0.08 to 0.37 in ARP). The greatest heritability values were estimated for body size and muscularity (0.52 and 0.37 for body size; and 0.40 and 0.32 for muscularity in REN and ARP, respectively). As expected, rank correlations, obtained considering estimated breeding values derived from best linear unbiased prediction analysis on the individual TT and factor score, showed similar coefficients to those observed in the factor analysis following loading of TT within each latent factor. These results suggest the possibility to implement the factor analysis in the morphological evaluation, simplifying the information given by the type traits into new variables useful for the genetic improvement of dual purpose cattle.

Keywords

type traitsautochthonous breeddual purposefactor analysis
Type
Research Article
Information
animal , Volume 10 , Issue 3 , March 2016 , pp. 372 - 380
Copyright
© The Animal Consortium 2015 

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References

Ali, AK, Koots, KR and Burnside, EB 1998. Factor analysis of genetic evaluations for type traits of Canadian Holstein sires and cows. Asian-Australasian Journal of Animal Sciences 11, 463–469.Google Scholar
Brown, JE, Brown, CJ and Butts, WT 1973. Evaluating relationships among immature measures of size, shape and performance of beef bulls. I. Principal components as measures of size and shape in young Hereford and Angus bulls. Journal of Animal Science 36, 1010.Google Scholar
Cattell, RB 1978. The scientific use of factor analysis in behavioural and life sciences. Plenum Press, New York.Google Scholar
Chu, MX and Shi, SK 2002. Phenotypic factor analysis for linear type traits in Beijing Holstein Cows. Asian-Australasian Journal of Animal Sciences 15, 1527–1530.CrossRefGoogle Scholar
Crawford, CB and Anderson, JL 1989. Sociobiology: an environmentalist discipline? American Psychologist 44, 1449–1459.Google Scholar
Crawford, CB and DeFries, JC 1978. Factor analysis of genetic and environmental correlation matrices. Multivariate Behavioral Research 13, 297–318.Google Scholar
Enevoldsen, C, Hindhede, J and Kristensen, T 1996. Dairy herd management types associated from indicators of health, reproduction, replacement, and milk production. Journal of Dairy Science 79, 1221–1236.Google Scholar
Falconer, DS 1989. Quantitative genetics, 3rd edition. Longman Scientific and Technical, Harlow, UK. pp. 182–183.Google Scholar
FERBA 2014. Federazione Europea delle Razze Bovine del sistema Alpino. Retrieved December 16, 2014, from http://www.ferba.info/it/home.html.Google Scholar
Forabosco, F and Mantovani, R 2011. European and indigenous cattle breeds in Italy. Schiel & Denver Publishing Limited, Houston, TX.Google Scholar
Forabosco, F, Rossetti, E, Sarti, FM, Panella, F, Bittante, G, Mantovani, R and Filippini, F 2005. Morphological factorials for females of the Chianina, Marchigiana and Romagnola breeds. In Proceedings of the 4th World Italian Beef Cattle Congress. Gubbio (Italy), 29th April to 1st May 2005.Google Scholar
Foster, WW 1985. Effects of first lactation linear type scores on first lactation production and herdlife of Holstein dairy cattle. MS thesis, Parks Library, Iowa State University, Ames.Google Scholar
Kaiser, HF 1958. The varimax criterion for analytic rotation in factor analysis. Psychometrika 23, 187–200.CrossRefGoogle Scholar
Klei, L, Pollak, EJ and Quaas, RL 1988. Genetic and environmental parameters associated with linearized type appraisal scores. Journal of Dairy Science 71, 2744–2752.Google Scholar
Linder, A and Berchtold, W 1982. Statistische methoden III (UTB 1189. Birkhäuser Verlag, Basel.Google Scholar
Macciotta, NPP, Cecchinato, A, Mele, M and Bittante, G 2012. Use of multivariate factor analysis to define new indicator variables for milk composition and coagulation properties in Brown Swiss cows. Journal of Dairy Science 95, 7346–7354.Google Scholar
Macciotta, NPP, Vicario, D, Dimauro, C and Cappio-Borlino, A 2004. A multivariate approach to modelling shapes of individual lactation curves in cattle. Journal of Dairy Science 87, 1092–1098.Google Scholar
Mantovani, R, Cerchiaro, I and Contiero, B 2005. Factor analysis for genetic evaluation of linear type traits in dual purpose breeds. Italian Journal of Animal Science 4, 31–33.CrossRefGoogle Scholar
Mazza, S, Guzzo, N, Sartori, C, Berry, DP and Mantovani, R 2014. Genetic parameters for linear type traits in the Rendena dual-purpose breed. Journal of Animal Breeding and Genetics 131, 27–35.Google Scholar
Mazza, S, Sartori, C and Mantovani, R 2013. Across breed comparison of genetic parameters for linear type traits in Valdostana cattle. Italian Journal of Animal Science 12, 4.Google Scholar
Mazza, S, Sartori, C and Mantovani, R 2015. Genetic parameters of type traits in two strains of dual purpose autochthonous Valdostana cattle. Livestock Science 178, 35–42.Google Scholar
McDonald, RP and Burr, EJ 1967. A comparison of four methods of constructing factor scores. Psychometrika 32, 381–401.Google Scholar
Misztal, I 2008. Reliable computing in estimation of variance components. Journal of Animal Breeding and Genetics 125, 363–370.Google Scholar
Misztal, I, Lawlor, TJ, Short, TH and VanRaden, PM 1992. Multiple trait estimation of variance components of yield and type traits using an animal model. Journal of Dairy Science 75, 544–551.Google Scholar
Morrison, F 1976. Multivariate statistical methods. McGraw-Hill, New York, NY.Google Scholar
Russel, DW 2002. In search of underlying dimensions: the use (and abuse) of factor analysis in Personality and Social Psychology. Personality and Social Psychology Bullettin 28, 1629–1646.Google Scholar
SAS Institute Inc. 2009. SAS/STAT® 9.2 user’s guide, 2nd edition. SAS Institute Inc, Cary, NC.Google Scholar
Sieber, M, Freeman, AE and Hinz, PN 1987. Factor analysis for evaluating relationships between first lactation type scores and production data of Holstein dairy cows. Journal of Dairy Science 70, 1018–1026.CrossRefGoogle ScholarPubMed
Sieber, M, Freeman, AE and Hinz, PN 1988. Comparison between factor analysis from a phenotypic and genetic correlation matrix using linear type traits of Holstein dairy cows. Journal of Dairy Science 71, 477.Google Scholar
VanRaden, PM, Jensen, EL, Lawlor, TJ and Funk, DA 1990. Prediction of transmitting abilities for Holstein type traits. Journal of Dairy Science 73, 191–197.Google Scholar
Vukasinovic, N, Moll, J and Künzi, N 1997. Factor analysis for evaluating relationships between herd life and type traits in Swiss Brown cattle. Livestock Production Science 49, 227–234.Google Scholar
Wang, X, Kammerer, CM, Anderson, S, Lu, J and Feingold, E 2009. A comparison of principal component analysis and factor analysis strategies for uncovering pleiotropic factors. Genetic Epidemiology 33, 325–331.Google Scholar