Browse > Article

Genetic diversity evolution in the Mexican Charolais cattle population  

Rios-Utrera, Angel (Campo Experimental La Posta, Centro de Investigacion Regional Golfo-Centro, Instituto Nacional de Investigaciones Forestales, Agricolas y Pecuarias)
Montano-Bermudez, Moises (CENIDFyMA, Instituto Nacional de Investigaciones Forestales, Agricolas y Pecuarias)
Vega-Murillo, Vicente Eliezer (Facultad de Medicina Veterinaria y Zootecnia, Universidad Veracruzana)
Martinez-Velazquez, Guillermo (Campo Experimental Santiago Ixcuintla, Centro de Investigacion Regional Pacifico-Centro, Instituto Nacional de Investigaciones Forestales, Agricolas y Pecuarias)
Baeza-Rodriguez, Juan Jose (Campo Experimental Mococha, Centro de Investigacion Regional Pacífico-Sur, Instituto Nacional de Investigaciones Forestales, Agricolas y Pecuarias)
Roman-Ponce, Sergio Ivan (Campo Experimental La Campana, Centro de Investigacion Regional Norte-Centro, Instituto Nacional de Investigaciones Forestales, Agricolas y Pecuarias)
Publication Information
Animal Bioscience / v.34, no.7, 2021 , pp. 1116-1122 More about this Journal
Objective: The aim was to characterize the genetic diversity evolution of the registered Mexican Charolais cattle population by pedigree analysis. Methods: Data consisted of 331,390 pedigree records of animals born from 1934 to 2018. Average complete generation equivalent, generation interval, effective population size (Ne), and effective numbers of founders (fe), ancestors (fa), and founder genomes (Ng) were calculated for seven five-year periods. The inbreeding coefficient was calculated per year of birth, from 1984 to 2018, whereas the gene contribution of the most influential ancestors was calculated for the latter period. Results: Average complete generation equivalent consistently increased across periods, from 4.76, for the first period (1984 through 1988), to 7.86, for the last period (2014 through 2018). The inbreeding coefficient showed a relative steadiness across the last seventeen years, oscillating from 0.0110 to 0.0145. During the last period, the average generation interval for the father-offspring pathways was nearly 1 yr. longer than that of the mother-offspring pathways. The effective population size increased steadily since 1984 (105.0) and until 2013 (237.1), but showed a minor decline from 2013 to 2018 (233.2). The population displayed an increase in the fa since 1984 and until 2008; however, showed a small decrease during the last decade. The effective number of founder genomes increased from 1984 to 2003, but revealed loss of genetic variability during the last fifteen years (from 136.4 to 127.7). The fa:fe ratio suggests that the genetic diversity loss was partially caused by formation of genetic bottlenecks in the pedigree; in addition, the Ng:fa ratio indicates loss of founder alleles due to genetic drift. The most influential ancestor explained 1.8% of the total genetic variability in the progeny born from 2014 to 2018. Conclusion: Inbreeding, Ne, fa, and Ng are rather beyond critical levels; therefore, the current genetic status of the population is not at risk.
Cattle; Effective Number of Ancestors; Effective Number of Founder Genomes; Effective Population Size; Average Complete Generation Equivalent; Generation Interval;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Roman PSI, Rios UA, Montano BM, et al. Genetic improvement of cattle in the tropics. In: Gonzalez PE, Davalos FJL, Rodriguez RO, editors. State of the art of the research and technological innovation in tropical cattle farming. Mexico City, Mexico: Redgatro; 2015. pp. 99-152.
2 Colleau JJ. An indirect approach to the extensive calculation of relationship coefficients. Genet Sel Evol 2002;34:409.   DOI
3 Meuwissen THE, Woolliams JA. Effective sizes of livestock populations to prevent a decline in fitness. Theor Appl Genet 1994;89:1019-26.   DOI
4 Hagger C. Estimates of genetic diversity in the brown cattle population of Switzerland obtained from pedigree information. J Anim Breed Genet 2005;122:405-13.   DOI
5 Marquez GC, Speidel SE, Enns RM, Garrick DJ. Genetic diversity and population structure of American Red Angus cattle. J Anim Sci 2010;88:59-68.   DOI
6 Honda T, Nomura T, Yamaguchi Y, Mukai F. Monitoring of genetic diversity in the Japanese Black cattle population by the use of pedigree information. J Anim Breed Genet 2004;121:242-52.   DOI
7 Gutierrez JP, Altarriba J, Diaz C, Quintanilla R, Canon J, Piedrafita J. Pedigree analysis of eight Spanish beef cattle breeds. Genet Sel Evol 2003;35:43-63.   DOI
8 Boichard D. Pedig: a fortran package for pedigree analysis suited for large populations. In: Proceedings of the 7th World Congress on Genetics Applied to Livestock Production; 2002 Aug 19-23: Montpellier, France.
9 Lande R, Barrowclough GF. Effective population size, genetic variation, and their use in population management. In: Soule ME, editor. Viable populations for conservation. Cambridge, UK: Cambridge University Press; 1987. pp. 87123.
10 MacCluer JW, VandeBerg JL, Read B, Ryder OA. Pedigree analysis by computer simulation. Zoo Biol 1986;5:147-60.   DOI
11 Cleveland MA, Blackburn HD, Enns RM, Garrick DJ. Changes in inbreeding of U.S. Herefords during the twentieth century. J Anim Sci 2005;83:992-1001.   DOI
12 Leroy G, Mary-Huard T, Verrier E, Danvy S, Charvolin E, Danchin-Burge C. Methods to estimate effective population size using pedigree data: examples in dog, sheep, cattle and horse. Genet Sel Evol 2013;45:1.   DOI
13 Gengler N, Misztal I, Bertrand JK, Culbertson MS. Estimation of the dominance variance for postweaning gain in the U.S. Limousin population. J Anim Sci 1998;76:2515-20.   DOI
14 Nomura T, Honda T, Mukai F. Inbreeding and effective population size of Japanese Black cattle. J Anim Sci 2001;79:36670.   DOI
15 Maiwashe A, Nephawe KA, van der Westhuizen RR, Mostert BE, Theron HE. Rate of inbreeding and effective population size in four major South African dairy cattle breeds. S Afr J Anim Sci 2006;36:50-7.   DOI
16 Goddard MG, Smith C. Optimum number of bull sires in dairy cattle breeding. J Dairy Sci 1990;73:1113-22.   DOI
17 Canon J, Gutierrez JP, Dunner S, Goyache F, Vallejo M. Herdbook analyses of the Asturiana beef cattle breeds. Genet Sel Evol 1994;26:65-75.   DOI
18 Gutierrez JP, Goyache F. A note on ENDOG: a computer program for analysing pedigree information. J Anim Breed Genet 2005;122:172-6.   DOI
19 Solkner J, Filipcic L, Hampshire N. Genetic variability of populations and similarity of subpopulations in Austrian cattle breeds determined by analysis of pedigrees. Anim Sci 1998;67:249-56.   DOI
20 MacCluer JW, Boyce AJ, Dyke B, Weitkamp LR, Pfennig DW, Parsons CJ. Inbreeding and pedigree structure in Standardbred horses. J Hered 1983;74:394-9.   DOI
21 Nunez-Dominguez R, Martinez-Rocha RE, Hidalgo-Moreno JA, Ramirez-Valverde R, Garcia-Muniz JG. Evaluation of the Romosinuano cattle population structure in Mexico using pedigree analysis. Rev Colomb Cienc Pecu 2020;33:44-59.   DOI
22 Bozzi R, Franci O, Forabosco F, Pugliese C, Crovetti A, Filippini F. Genetic variability in three Italian beef cattle breeds derived from pedigree information. Ital J Anim Sci 2006;5:129-37.   DOI
23 McParland S, Kearney JF, Rath M, Berry DP. Inbreeding trends and pedigree analysis of Irish dairy and beef cattle populations. J Anim Sci 2007;85:322-31.   DOI
24 Lacy RC. Analysis of founder representation in pedigrees: founder equivalents and founder genome equivalents. Zoo Biol 1989;8:111-23.   DOI
25 Boichard D, Maignel L, Verrier E. The value of using probabilities of gene origin to measure genetic variability in a population. Genet Sel Evol 1997;29:5-23.   DOI
26 Rios Utrera A, Vega Murillo VE, Montano Bermudez M, Martinez Velazquez G, Roman Ponce SI. Genetic diversity assessment of the Mexican Simmental population through pedigree analysis. Rev Bras Zootec 2018;47:e20160088.   DOI
27 Sargolzaei M, Iwaisaki H, Colleau JJ. A fast algorithm for computing inbreeding coefficients in large populations. J Anim Breed Genet 2005;122:325-31.   DOI
28 Gutierrez JP, Cervantes I, Goyache F. Improving the estimation of realized effective population sizes in farm animals. J Anim Breed Genet 2009;126:327-32.   DOI
29 Maignel L, Boichard D, Verrier E. Genetic variability of French dairy breeds estimated from pedigree information. Interbull Bull 1996;14:49-56.
30 Sargolzaei M, Iwaisaki H, Colleau JJ. CFC: a tool for monitoring genetic diversity. In: Proceedings of the 8th World Congress on Genetics Applied to Livestock Production; 2006 Aug 13-18: Belo Horizonte, Brazil.