Tabapuã breed in Northeastern Brazil: genetic progress and population structure

Caires, Dirlane Novais; Malhado, Carlos Henrıque Mendes; Souza, Laaina de Andrade; Neto, Milton Rezende Teixeira; Carneiro, Paulo Luız Souza; Filho, Raimundo Martins

doi:10.1590/s1516-35982012000800008

Cited by 12 publications

(4 citation statements)

References 21 publications

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“…The AGIs obtained here were similar to those reported by Faria et al (2001) for SIN (7.96 years), by Faria et al (2009) for NEL, GIR and GUZ between 1994 and 1998 (about 8 years), by Reis Filho et al, (2010) for animals of the Dairy Gir subpopulation (8.25 years), by Peixoto et al (2010) for a GUZ subpopulation selected for milk production (7.48 years), and by Caires et al (2012) for TAB (7.3 years). Notably, the generation intervals were always longer for IND animals, reflecting the problems related to the drastic reduction in the census of this breed in recent years, which delays the replacement of animals in the herds.…”

Section: Discussionsupporting

confidence: 91%

Structure and genetic diversity of Brazilian Zebu cattle breeds assessed by pedigree analysis

et al. 2016

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The monitoring of population structure, inbreeding and other related parameters has great potential to prevent major losses of genetic diversity in populations of Zebu cattle in Brazil. Therefore, the objective of the present study was to investigate the structure and genetic diversity of Brazilian Zebu cattle breeds by pedigree analysis. The national pedigree file of the seven Brazilian Zebu breeds was used, which included all registered animals (12,290,243) born between 1938 and 2012: Brahman, Gir, Guzerá, Indubrasil, Nelore, Sindi, and Tabapuã. Almost all breeds studied undergo expansion in their census which, however, is not accompanied by the maintenance of genetic diversity. Problems were encountered in all breeds, but most of them can currently be considered less important. Using the calculation method considered as the most accurate for pedigree analysis when some population substructure exists, all breeds, except Sindi, had effective population size greater than 100. The most common problems were the presence of tight bottlenecks in the pedigree, which were mainly due to the intensive use of few animals as parents and the high degree of population subdivision. The use of a wider range of sires is therefore recommended. However, most Zebu breeds can deal with breeding programs using high selection intensities. Greater care should be taken in the case of the Indubrasil breed since its census was reduced drastically over the last few years, a fact favoring the occurrence of serious problems related to inbreeding. Although Sindi presents problems due to subdivision and possesses a relatively small census compared to other Zebu breeds, this population would have a promising future if its breeding policy were revised.

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Section: Discussionsupporting

confidence: 91%

Structure and genetic diversity of Brazilian Zebu cattle breeds assessed by pedigree analysis

et al. 2016

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“…For W365, the heritability estimate was of moderate magnitude (0.23). Ribeiro et al (2007) and Caires et al (2012) obtained heritabilities of 0.21 and 0.26, respectively, in Tabapuã cattle, similar to that observed in the present study, whereas Sakaguti et al (2003) and Oliveira et al (2017) obtained higher estimates, 0.36 and 0.37, for Tabapuã and Nellore animals, respectively. The heritability for W550 was also of moderate magnitude (0.19).…”

Section: Discussionsupporting

confidence: 90%

“…Most studies reporting genetic parameters for Tabapuã cattle only consider growth traits (Sakaguti et al, 2003;Campêlo et al, 2004;Ferraz Filho et al, 2004;Pereira et al, 2005;Ribeiro et al, 2007;Sousa Júnior et al, 2010;Caires et al, 2012;Menezes et al, 2013;Bernardes et al, 2015;Oliveira et al, 2015;Campos et al, 2016;Oliveira et al, 2017;Sousa Júnior et al, 2019). Reports are very scarce for reproductive traits (Pereira et al, 2005;Bernardes et al, 2015), and there are no studies for carcass traits in this breed.…”

Section: Discussionmentioning

confidence: 99%

Genetic parameters for growth, reproductive, and carcass traits in Tabapuã cattle

Freitas¹,

Ventura²,

Silva³

et al. 2022

Revista Brasileira De Zootecnia

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Breeding and geneticsFull-length research article Genetic parameters for growth, reproductive, and carcass traits in Tabapuã cattle ABSTRACT -We aimed to estimate genetic parameters for growth, reproductive, and carcass traits in Tabapuã cattle. Phenotypic data were collected between 1990 and 2019 in 1,218 farms, and the pedigree file had 340,868 animals. The traits evaluated were body weight at 120 (W120), 210 (W210), 365 (W365), and 550 (W550) days of age; age at first calving (AFC), scrotal circumference at 365 days of age (SC365), ribeye area (REA), backfat thickness (BF), and rump fat thickness (RF). The (co)variance components were estimated using the restricted maximum likelihood method, considering single and two-traits animal models. For all traits, the models considered fixed, direct additive genetic, and residual random effects. In addition, for W120 and W210, the maternal additive genetic and maternal permanent environmental effects were also included. Heritabilities for W120, W210, W365, W550, SC365, REA, BF, and RF were of moderate magnitude (0.15, 0.16, 0.23, 0.19, 0.22, 0.36, 0.31, and 0.27, respectively). Low heritability was observed for AFC (0.07). The genetic correlations between growth traits were higher than 0.90, while AFC and SC365 presented negative moderate correlation (−0.66). The REA showed low genetic correlations with BF (0.07) and RF (0.07), whereas BF and RF were highly correlated (0.77). Considering the heritability estimates, selection for AFC would result in limited genetic gain, while for the other traits, it would be satisfactory. Based on the high genetic correlations between growth traits, selection of Tabapuã animals can be performed at younger ages. Additionally, animals can be indirectly selected for AFC through SC365, and only one fat thickness trait may be used in the selection process considering the high genetic correlation and similar heritability values for BF and RF.

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“…However, the accuracy of these comparisons depends on the degree of connectedness among MU: the higher the connectedness, the more reliable the comparison. Genetic connectedness has traditionally been calculated through pedigree-based methods ( Lewis et al, 1999b ; Kuehn et al, 2007a ); however, these methods may underestimate connectedness in production systems such as the beef cattle industry, where commercial herds are poorly registered and multi-sire mating is practiced ( Caires et al, 2012 ; Barbosa et al, 2013 ; Tonussi et al., 2017 ; Cavani et al, 2018 ). A lack of connectedness occurs: when the MU are genetically isolated (or semi-isolated) or there is limited sharing of genetic material; with the use of an incomplete numerator relationship matrix based on poor pedigree data ( Carneiro et al, 2001 ); and with poor use of artificial insemination (AI).…”

Section: Introductionmentioning

confidence: 99%

An assessment of genomic connectedness measures in Nellore cattle

Amorim

Hyeong-keun

Momen

et al. 2020

Journal of Animal Science

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An important criterion to consider in genetic evaluations is the extent of genetic connectedness across management units (MU), especially if they differ in their genetic mean. Reliable comparisons of genetic values across MU depend on the degree of connectedness; the higher the connectedness, the more reliable the comparison. Traditionally, genetic connectedness was calculated through pedigree-based methods; however, in the era of genomic selection, this can be better estimated utilizing new approaches based on genomics. Most procedures consider only additive genetic effects, which may not accurately reflect the underlying gene action of the evaluated trait, and little is known about the impact of non-additive gene action on connectedness measures. The objective of this study was to investigate the extent of genomic connectedness measures, for the first time, in Brazilian field data by applying additive and non-additive relationship matrices using a fatty acid profile dataset from seven farms located in the three regions of Brazil, which are part of the three breeding programs. Myristic acid (C14:0) was used due to its importance for human health, and reported presence of non-additive gene action. The pedigree included 427,740 animals and 925 of them were genotyped using the Bovine high-density genotyping chip. Six relationship matrices were constructed, parametrically and non-parametrically capturing additive and non-additive genetic effects from both pedigree and genomic data. We assessed genome-based connectedness across MU using the prediction error variance of difference (PEVD) and the coefficient of determination (CD). PEVD values ranged from 0.540 - 1.707, and CD from 0.146 - 0.456. Genomic information consistently enhanced the measures of connectedness compared to the numerator relationship matrix by at least 63%. Combining additive and non-additive genomic kernel relationship matrices or a non-parametric relationship matrix increased the capture of connectedness. Overall, the Gaussian kernel yielded the largest measure of connectedness. Our findings showed that connectedness metrics can be extended to incorporate genomic information and non-additive genetic variation using field data. We propose that different genomic relationship matrices can be designed to capture additive and non-additive genetic effects, increase the measures of connectedness, and to more accurately estimate the true state of connectedness in herds

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Tabapuã breed in Northeastern Brazil: genetic progress and population structure

Cited by 12 publications

References 21 publications

Structure and genetic diversity of Brazilian Zebu cattle breeds assessed by pedigree analysis

Structure and genetic diversity of Brazilian Zebu cattle breeds assessed by pedigree analysis

Genetic parameters for growth, reproductive, and carcass traits in Tabapuã cattle

An assessment of genomic connectedness measures in Nellore cattle

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