2022
DOI: 10.1590/1984-3143-ar2021-0121
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Evaluation of three classification methods of antral follicle count and fertility to the timed artificial insemination in cattle

Abstract: The controversial data about antral follicle count (AFC) may be partially explained by the different criteria used to determine what is high, intermediate and low AFC. This study evaluated different classification methods for AFC groups, relating them to the conception rate, dominant follicle size and body condition score (BCS) in cows submitted to timed artificial insemination (TAI). Nelore cows (Bos indicus; n = 935), received a reproductive program consisting of TAI and natural breeding. Conception rate, BC… Show more

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“…The AFC is also an important indicator because it is related to fertility and has been the focus of several studies (Burns et al, 2005;Ireland et al, 2011;Morotti et al, 2018). AFC is a highly variable characteristic among animals, but it is highly repeatable in the same individual (Ireland et al, 2007), which allows the classification of females into low, medium, or high AFC groups (Morotti et al, 2022(Morotti et al, , 2018Silva-Santos et al, 2014). In addition, AFC is strongly correlated with anti-mullerian hormone (AMH) concentrations in both Bos indicus and Bos taurus (Guerreiro et al, 2014), and can be a reliable method for predicting AFC (Ireland et al, 2011;Rico et al, 2011).…”
Section: Consideringmentioning
confidence: 99%
“…The AFC is also an important indicator because it is related to fertility and has been the focus of several studies (Burns et al, 2005;Ireland et al, 2011;Morotti et al, 2018). AFC is a highly variable characteristic among animals, but it is highly repeatable in the same individual (Ireland et al, 2007), which allows the classification of females into low, medium, or high AFC groups (Morotti et al, 2022(Morotti et al, , 2018Silva-Santos et al, 2014). In addition, AFC is strongly correlated with anti-mullerian hormone (AMH) concentrations in both Bos indicus and Bos taurus (Guerreiro et al, 2014), and can be a reliable method for predicting AFC (Ireland et al, 2011;Rico et al, 2011).…”
Section: Consideringmentioning
confidence: 99%