Genetic correlation estimates between age at puberty and growth, reproductive, and carcass traits in young Nelore bulls

Neto, João Barbosa da Silva; Peripolli, Elisa; Silva, Eliane Vianna da Costa e; Espigolan, Rafael; Neira, Juan Diego Rodríguez; Schettini, Gustavo Pimenta; Filho, Luiz Carlos César da Costa; Barbosa, Fernanda Battistotti; Macedo, Gustavo Guerino; Costa-Brunes, Ludmilla; Lôbo, Raysildo Barbosa; Pereira, Angélica Simone Cravo; Baldi, Fernando

doi:10.1016/j.livsci.2020.104266

Cited by 13 publications

(5 citation statements)

References 29 publications

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“…The heritability coefficient estimated by the single-trait model for the scrotal circumference was 0.28 (Table 2). This value is consistent with the values of other authors who published heritability coefficients in a range from 0.18 to 0.50 in dependence on the chosen population, breed, and age of the scrotum measurement (Crews and Porteous 2003;Garmyn et al 2011;McAllister et al 2011;Buzanskas et al 2017;Bonamy et al 2018;Schmidt et al 2019;da Silva Neto et al 2020;Martinez-Velazquez et al 2020). Many authors concluded that the heritability coefficient of the scrotal circumference was usually higher if it was evaluated at an older age.…”

Section: Heritabilitysupporting

confidence: 91%

“…Many authors concluded that the heritability coefficient of the scrotal circumference was usually higher if it was evaluated at an older age. da Silva Neto et al (2020) and some other authors reported that the heritability coefficient for the scrotal circumference, measured at 365 days of age, was 0.33, but when the scrotal circumference was measured trates the relationship of the scrotal circumference to the bull's weight for the four most numerous breeds. It is believed that the scrotal circumference is an even better indicator of sexual maturity than the age or body weight itself (Brinks 2021).…”

Section: Heritabilitymentioning

confidence: 87%

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Genetic evaluation of the scrotal circumference of beef bulls in the Czech Republic

Novotná¹,

Brzáková²,

Birovaš³

et al. 2022

CZECH J ANIM SCI

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The objective of the present study was to estimate the genetic parameters for the scrotal circumference of bulls of beef breeds in the Czech Republic. The used database for the years 1996–2020 comprised information on the scrotal circumference measurements from 22 065 bulls of 19 pure breeds and crossbred animals of the Beef Simmental, Charolais, and Hereford breeds. After adjustments, the database contained 16 404 records. To test the influence of systematic fixed effects, the GLM/SAS procedure using the least-squares method was applied. The contemporary group, weight and age of the bulls were included as significant systematic environmental effects (< 0.05). The genetic parameters were determined by a single-trait model using the AIREMLF90 program. The heritability coefficient of the scrotal circumference was 0.27. Environmental correlations of the scrotal circumference with the bull weight were moderate and positive (r = 0.2), but the correlations between the age in days and the scrotal circumference were almost zero (r = 0.03). The results indicate that the scrotal circumference of beef cattle breeds provides sufficiently high genetic variability that can be used to identify individuals with an above-average circumference and, in this way, increase the probability of selection of a young bull with a better reproduction potential.

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Section: Heritabilitysupporting

confidence: 91%

Section: Heritabilitymentioning

confidence: 87%

Genetic evaluation of the scrotal circumference of beef bulls in the Czech Republic

Novotná¹,

Brzáková²,

Birovaš³

et al. 2022

CZECH J ANIM SCI

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“…For carcass-related traits, the heritability estimates were moderate for REA (0.27), MAR (0.28), RFT (0.28) and BFT (0.18), indicating that REA, MAR and RFT would respond faster to selection than BFT. The heritability estimates for carcass-related traits were like those reported in the literature also in Nelore cattle (Grosso et al, 2014;Silva Neto et al, 2020;Tonussi et al, 2015;Yokoo et al, 2008Yokoo et al, , 2009.…”

Section: Estimation Of Genetic Parameterssupporting

confidence: 80%

Weighted genomic prediction for growth and carcass‐related traits in Nelore cattle

et al. 2023

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This study aimed to assess the impact of differential weighting in genomic regions harboring candidate causal loci on the genomic prediction accuracy and dispersion for growth and carcass‐related traits in Nelore cattle. The dataset contained 168 793 phenotypic records for adjusted weight at 450 days of age (W450), 83 624 for rib eye area (REA), 24 480 for marbling (MAR) and 82 981 for subcutaneous backfat thickness (BFT) and rump fat thickness (RFT). The pedigree harbored information from 244 254 animals born between 1977 and 2016, including 6283 sires and 50 742 dams. Animals (n = 7769) were genotyped with the low‐density panel (Clarifide® Nelore 3.0), and the genotypes were imputed to a panel containing 735 044 markers. A linear animal model was applied to estimate the genetic parameters and to perform the weighted single‐step genome‐wide association study (WssGWAS). A total of seven models for genomic prediction were evaluated combining the SNP weights obtained in the iterations of the WssGWAS and the candidate QTL. The heritability estimated for W450 (0.35) was moderate, and for carcass‐related traits, the estimates were moderate for REA (0.27), MAR (0.28) and RFT (0.28), and low for BFT (0.18). The prediction accuracy for W450 incorporating reported QTL previously described in the literature along with different SNPs weights was like those described for the default ssGBLUP model. The use of the ssGWAS to weight the SNP effects displayed limited advantages for the REA prediction accuracy. Comparing the ssGBLUP with the BLUP model, a meaningful improvement in the prediction accuracy from 0.09 to 0.63 (700%) was observed for MAR. The highest prediction accuracy was obtained for BFT and RFT in all evaluated models. The application of information obtained from the WssGWAS is an alternative to reduce the genomic prediction dispersion for growth and carcass‐related traits, except for MAR. Furthermore, the results obtained herein pointed out that is possible to improve the prediction accuracy and reduce the genomic prediction dispersion for growth and carcass‐related traits in young animals.

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“…Khan et al (2018) report a decrease in reproductive ability as the animal ages. Regardless of the breed analyzed, once sexual maturity is reached (3 years), the indicators are stabilized for a period of 2 years and then decrease as the bull ages, causing a decrease in the reproductive efficiency of the herd (da Silva et al, 2020). Bulls aged 3 to 5 years show better performance in extensive systems on herd reproductive parameters than bulls older than 5 years, demonstrating that bulls have a useful life in extensive systems regardless of their breed (Byrne et al, 2018).…”

Section: Multivariate Analysis Of the Bse Of Charolais And Charbray Bulls On Herd Reproductive Efficiencymentioning

confidence: 99%

Reproductive evaluation of Charolais and Charbray bulls on the reproductive efficiency of herds in warm subhumid climate of Veracruz

Torres-Aburto

Hernández-Beltrán

Cervantes-Acosta

et al. 2021

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Objective: To correlate the Breeding Soundness Evaluation (BSE) of Charolais andCharbray bulls in the warm subhumid climate and its effect on the Pregnancy rate andCalving interval of herds to estimate differences between breeds.Design/methodology/approach: BSE was carried out on N = 90 Bulls; Charolais (n =33) and Charbray (n = 57), evaluated in situ during the period 2017 to 2019. Bull (age, body condition, libido, and scrotal circumference), Semen (concentration, motility, and volume), Herd (Pregnancy rate and Calving interval) and environment variables (Rainy and Dry season) were analyzed with the one-way ANOVA, Factorial, Multiple regression, and Multivariate analysis.Results: Charolais and Charbray bulls show similar results in the BSE (p>0.05) in awarm subhumid climate.Limitations/implications: Year season (Rainy or Dry) do not affect (p<0.05) the BSErating. Libido is associated (p<0.05) with age (R=-0.42), sperm motility (R=0.67), spermconcentration (R=0.66) and pregnancy rate (R=0.63). Findings/conclusions: Variables with high association (p<0.05) with pregnancy ratewere libido (R=0.63), motility (R=0.60), sperm concentration (R=0.51) and age (R=-0.50); variables with high association (p<0.05) with calving interval were: age (R=0.74)and libido (R=-0.33). Charolais and Charbray bulls show similar reproductive efficiencyin herds under a warm subhumid climate in Veracruz.

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Genetic correlation estimates between age at puberty and growth, reproductive, and carcass traits in young Nelore bulls

Cited by 13 publications

References 29 publications

Genetic evaluation of the scrotal circumference of beef bulls in the Czech Republic

Genetic evaluation of the scrotal circumference of beef bulls in the Czech Republic

Weighted genomic prediction for growth and carcass‐related traits in Nelore cattle

Reproductive evaluation of Charolais and Charbray bulls on the reproductive efficiency of herds in warm subhumid climate of Veracruz

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