Animal Production Science Animal Production Science Society
Food, fibre and pharmaceuticals from animals
RESEARCH ARTICLE

Meta-analysis of genetic-parameter estimates for reproduction, growth and carcass traits in Nellore cattle by using a random-effects model

Hinayah Rojas de Oliveira A , Henrique Torres Ventura B D , Edson Vinícius Costa B , Mariana Alencar Pereira B , Renata Veroneze A C , Marcio de Souza Duarte A , Otávio Henrique Gomes Barbosa Dias de Siqueira A and Fabyano Fonseca e Silva A
+ Author Affiliations
- Author Affiliations

A Department of Animal Science, Universidade Federal de Viçosa, 36570-000, Viçosa, MG, Brazil.

B ABCZ, Associação Brasileira dos Criadores de Zebu, Pq. Fernando Costa, 38022-330, Uberaba, MG, Brazil.

C EPAMIG, Empresa de Pesquisa Agropecuária de Minas Gerais, Rua Afonso Rato, 38001-970, Uberaba, MG, Brazil.

D Corresponding author. Email: henrique@abcz.org.br

Animal Production Science - https://doi.org/10.1071/AN16712
Submitted: 2 November 2016  Accepted: 16 March 2017   Published online: 24 May 2017

Abstract

Meta-analysis based on a random-effects model is used to summarise and overcome the variability between divergent parameter estimates. We proposed a meta-analysis of published heritability and genetic-correlation estimates for reproduction, growth and carcass traits in purebred Nellore cattle. In total, 197 heritability and 107 genetic-correlation estimates from 62 scientific publications were used here. Most of traits (gestation length; weights at birth, 120, 210, 365 and 550 days of age; mature weight and all carcass traits) presented direct heritability estimates ranging from 0.20 to 0.40. Age at first calving presented the lowest value among direct heritabilities (0.1498); whereas the higher values (>0.40) were found for scrotal circumference at different ages and for weight at 450 days of age. Low maternal heritability estimates (ranging from 0.06 to 0.11) were observed for all growth traits. With the exception of correlation estimates involving the age at first calving, all other correlations were positive. High correlations (>0.85) were found mainly for the same trait at different ages. The results reported here will give support to genetic evaluations when reliable estimates for different traits in purebred Nellore cattle are not available.

Additional keywords: genetic correlation, heritability, relative standard error, size effects.


References

Akanno E, Schenkel F, Quinton V, Friendship R, Robinson J (2013) Meta-analysis of genetic parameter estimates for reproduction, growth and carcass traits of pigs in the tropics. Livestock Science 152, 101–113.
Meta-analysis of genetic parameter estimates for reproduction, growth and carcass traits of pigs in the tropics.CrossRef |

Barrozo D, Buzanskas M, Oliveira J, Munari D, Neves H, Queiroz S (2012) Genetic parameters and environmental effects on temperament score and reproductive traits of Nellore cattle. Animal 6, 36–40.
Genetic parameters and environmental effects on temperament score and reproductive traits of Nellore cattle.CrossRef | 1:STN:280:DC%2BC38votlGmsg%3D%3D&md5=6f507586dd5a8a3975f7fc8994b15036CAS |

Bax L, Ikeda N, Fukui N, Yaju Y, Tsuruta H, Moons KG (2009) More than numbers: the power of graphs in meta-analysis. American Journal of Epidemiology 169, 249–255.
More than numbers: the power of graphs in meta-analysis.CrossRef |

Berry D, Wall E, Pryce J (2014) Genetics and genomics of reproductive performance in dairy and beef cattle. Animal 8, 105–121.
Genetics and genomics of reproductive performance in dairy and beef cattle.CrossRef |

Boligon A, Albuquerque LGd (2011) Genetic parameters and relationships of heifer pregnancy and age at first calving with weight gain, yearling and mature weight in Nelore cattle. Livestock Science 141, 12–16.
Genetic parameters and relationships of heifer pregnancy and age at first calving with weight gain, yearling and mature weight in Nelore cattle.CrossRef |

Borenstein M, Hedges LV, Higgins J, Rothstein HR (2009) Random-effects model. In ‘Introduction to meta-analysis’. pp. 69–75. (Wiley: Chichester, UK)

Caetano S, Savegnago R, Boligon A, Ramos S, Chud T, Lôbo R, Munari D (2013) Estimates of genetic parameters for carcass, growth and reproductive traits in Nellore cattle. Livestock Science 155, 1–7.
Estimates of genetic parameters for carcass, growth and reproductive traits in Nellore cattle.CrossRef |

Chud TC, Caetano SL, Buzanskas ME, Grossi DA, Guidolin DG, Nascimento GB, Rosa JO, Lôbo RB, Munari DP (2014) Genetic analysis for gestation length, birth weight, weaning weight, and accumulated productivity in Nellore beef cattle. Livestock Science 170, 16–21.
Genetic analysis for gestation length, birth weight, weaning weight, and accumulated productivity in Nellore beef cattle.CrossRef |

Cochran WG (1954) The combination of estimates from different experiments. Biometrics 10, 101–129.
The combination of estimates from different experiments.CrossRef |

Diaz I, Crews D, Enns R (2014) Cluster and meta-analyses of genetic parameters for feed intake traits in growing beef cattle. Journal of Animal Breeding and Genetics 131, 217–226.
Cluster and meta-analyses of genetic parameters for feed intake traits in growing beef cattle.CrossRef | 1:CAS:528:DC%2BC2cXot1yhsLg%3D&md5=1c878b209361681321d85f808aff664fCAS |

Faria CU, Magnabosco CdU, Reyes Adl, Lôbo RB, Bezerra LAF, Sainz RD (2007) Bayesian inference in a quantitative genetic study of growth traits in Nelore cattle (Bos indicus). Genetics and Molecular Biology 30, 545–551.
Bayesian inference in a quantitative genetic study of growth traits in Nelore cattle (Bos indicus).CrossRef |

Faria CU, Pires BC, Vozzi AP, Magnabosco CU, Koury Filho W, Viu MAO, Oliveira HN, Lôbo RB (2010) Genetic correlations between categorical morphological traits in Nelore cattle by applying Bayesian analysis under a threshold animal model. Journal of Animal Breeding and Genetics 127, 377–384.
Genetic correlations between categorical morphological traits in Nelore cattle by applying Bayesian analysis under a threshold animal model.CrossRef | 1:STN:280:DC%2BC3cfhslOgsQ%3D%3D&md5=c355d906d6f1e7c28cf5f156851efce8CAS |

Faria CU, de Queiroz SA, Lôbo RB, Buzanskas ME, Venturini GC, Munari D, Oliveira JA (2012) Análise genética de características reprodutivas na raça Brahman. Archivos de Zootecnia 61, 559–567.
Análise genética de características reprodutivas na raça Brahman.CrossRef |

Ferraz JBS, Felício PE (2010) Production systems–an example from Brazil. Meat Science 84, 238–243.
Production systems–an example from Brazil.CrossRef |

Frizzas O, Grossi D, Buzanskas M, Paz C, Bezerra L, Lôbo R, Oliveira J, Munari D (2009) Heritability estimates and genetic correlations for body weight and scrotal circumference adjusted to 12 and 18 months of age for male Nellore cattle. Animal 3, 347–351.
Heritability estimates and genetic correlations for body weight and scrotal circumference adjusted to 12 and 18 months of age for male Nellore cattle.CrossRef | 1:STN:280:DC%2BC38vptFGkug%3D%3D&md5=3eb1fb0d0a9b8ffef199de8c66970e15CAS |

Giannotti JDG, Packer IU, Mercadante MEZ (2005) Meta-analysis for heritability of estimates growth traits in beef cattle. Revista Brasileira de Zootecnia 34, 1173–1180.
Meta-analysis for heritability of estimates growth traits in beef cattle.CrossRef |

Gordo D, Baldi F, Lôbo R, Sainz R, Albuquerque L (2012) Genetic association between body composition measured by ultrasound and visual scores in Brazilian Nellore cattle. Journal of Animal Science 90, 4223–4229.
Genetic association between body composition measured by ultrasound and visual scores in Brazilian Nellore cattle.CrossRef | 1:CAS:528:DC%2BC3sXns1SmsQ%3D%3D&md5=ba7a53d8d8b7d93aa4dea239588f5e34CAS |

Henderson C, Quaas R (1976) Multiple trait evaluation using relatives’ records. Journal of Animal Science 43, 1188–1197.
Multiple trait evaluation using relatives’ records.CrossRef |

Higgins JP, Thompson SG, Deeks JJ, Altman DG (2003) Measuring inconsistency in meta-analyses. BMJ (Clinical Research Ed.) 327, 557–560.
Measuring inconsistency in meta-analyses.CrossRef |

Malhado CHM, Malhado ACM, Martins Filho R, Carneiro PLS, Pala A, Carrillo JA (2013) Age at first calving of Nellore cattle in the semi-arid region of northeastern Brazil using linear, threshold, censored and penalty models. Livestock Science 154, 28–33.
Age at first calving of Nellore cattle in the semi-arid region of northeastern Brazil using linear, threshold, censored and penalty models.CrossRef |

Mercadante M, Packer I, Razook A, Cyrillo J, Figueiredo L (2003) Direct and correlated responses to selection for yearling weight onreproductive performance of Nellore cows. Journal of Animal Science 81, 376–384.
Direct and correlated responses to selection for yearling weight onreproductive performance of Nellore cows.CrossRef | 1:CAS:528:DC%2BD3sXhsFKhsb8%3D&md5=03e5537cb5d3268a246e35d55df00151CAS |

Meyer K (1992a) Bias and sampling covariances of estimates of variance components due to maternal effects. Genetics, Selection, Evolution. 24, 487–509.
Bias and sampling covariances of estimates of variance components due to maternal effects.CrossRef |

Meyer K (1992b) Variance components due to direct and maternal effects for growth traits of Australian beef cattle. Livestock Production Science 31, 179–204.
Variance components due to direct and maternal effects for growth traits of Australian beef cattle.CrossRef |

Nobre P, Misztal I, Tsuruta S, Bertrand J, Silva L, Lopes P (2003) Analyses of growth curves of Nellore cattle by multiple-trait and random regression models. Journal of Animal Science 81, 918–926.
Analyses of growth curves of Nellore cattle by multiple-trait and random regression models.CrossRef | 1:CAS:528:DC%2BD3sXjtFCmsbo%3D&md5=527a29fd8fc621fd328fb93c04cb7110CAS |

R Core Team (2016) ‘R: a language and environment for statistical computing.’ (R Foundation for Statistical Computing: Vienna)

Roughsedge T, Am P, Thompson R, Simm G (2005) Genetic parameters for a maternal breeding goal in beef production. Journal of Animal Science 83, 2319–2329.
Genetic parameters for a maternal breeding goal in beef production.CrossRef | 1:CAS:528:DC%2BD2MXhtVOqurrJ&md5=ed29cc538b17f9bc9f4a170adf47bc45CAS |

Safari E, Fogarty N, Gilmour AR (2005) A review of genetic parameter estimates for wool, growth, meat and reproduction traits in sheep. Livestock Production Science 92, 271–289.
A review of genetic parameter estimates for wool, growth, meat and reproduction traits in sheep.CrossRef |

Santana M, Eler J, Cucco D, Bignardi A, Ferraz J (2013) Genetic associations between hip height, body conformation scores, and pregnancy probability at 14 months in Nellore cattle. Livestock Science 154, 13–18.
Genetic associations between hip height, body conformation scores, and pregnancy probability at 14 months in Nellore cattle.CrossRef |

Santana M, Eler J, Bignardi A, Ferraz J (2015) Two-trait random regression model to estimate the genetic association of scrotal circumference with female reproductive performance in Nellore cattle. Theriogenology 83, 1534–1540.
Two-trait random regression model to estimate the genetic association of scrotal circumference with female reproductive performance in Nellore cattle.CrossRef |

Schaeffer L (1984) Sire and cow evaluation under multiple trait models. Journal of Dairy Science 67, 1567–1580.
Sire and cow evaluation under multiple trait models.CrossRef |

Schwarzer G, Carpenter JR, Rücker G (2015) ‘Meta-analysis with R.’ (Springer)

Sheridan A, Barker J (1974) Two-trait selection and the genetic correlation II. Changes in the genetic correlation during two-trait selection. Australian Journal of Biological Sciences 27, 89–102.

Silva M, Pedrosa V, Silva J, Eler J, Guimarães J, Albuquerque LGd (2011) Testicular traits as selection criteria for young Nellore bulls. Journal of Animal Science 89, 2061–2067.
Testicular traits as selection criteria for young Nellore bulls.CrossRef | 1:CAS:528:DC%2BC3MXoslCis7w%3D&md5=84965006fd943b785828157cf0e590f6CAS |

Silveira D, Souza F, Brauner C, Ayres D, Silveira F, Dionello N, Boligon A (2015) Body condition score of Nellore cows and its relation with mature size and gestation length. Livestock Science 175, 10–17.
Body condition score of Nellore cows and its relation with mature size and gestation length.CrossRef |

Steel RGD, Torrie JH (1960) ‘Principles and procedures of statistics.’ (McGraw-Hill Book Company: New York, NY)

Sutton AJ, Abrams KR, Jones DR, Sheldon TA, Song F (2000) ‘Methods for meta-analysis in medical research.’ (Wiley: Chichester, UK)

Thompson R (1976) The estimation of maternal genetic variances. Biometrics 32, 903–917.
The estimation of maternal genetic variances.CrossRef | 1:STN:280:DyaE2s%2FovVWmtw%3D%3D&md5=025c6bd31374f19732069403af032934CAS |

Utrera AR, Van Vleck LD (2004) Heritability estimates for carcass traits of cattle: a review. Genetics and Molecular Research 3, 380–394.

Viechtbauer W (2010) Conducting meta-analyses in R with the metafor package. Journal of Statistical Software 3, 1–48.

Yokoo M, Albuquerque LGd, Lôbo R, Bezerra L, Araujo F, Silva J, Sainz R (2008) Genetic and environmental factors affecting ultrasound measures of longissimus muscle area and backfat thickness in Nellore cattle. Livestock Science 117, 147–154.
Genetic and environmental factors affecting ultrasound measures of longissimus muscle area and backfat thickness in Nellore cattle.CrossRef |

Zarkovich S (1979) Stability of variance patterns. Jomal da Sociedade Indiana de Estatísticas Agrícolas 31, 23–48.

Zuin R, Buzanskas M, Caetano S, Venturini G, Guidolin D, Grossi D, Chud T, Paz C, Lôbo R, Munari D (2012) Genetic analysis on growth and carcass traits in Nellore cattle. Meat Science 91, 352–357.
Genetic analysis on growth and carcass traits in Nellore cattle.CrossRef | 1:STN:280:DC%2BC38vmtFCqug%3D%3D&md5=7998aaefb21b62e9e3212abbc2164dd1CAS |



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