Abstract
ABSTRACT The objective of this research was to study the population structure of the Cattle Conservation Nucleos Curraleiro Pé Duro of the Instituto Nacional do Semiárido (NCP_INSA) based on pedigree data. Genealogical information from 338 animals registered in the period from 1991 to 2019 was used. The number of founding animals (Nf), the effective number of founders (fe), effective number of ancestors (fa), inbreeding coefficient (F), and average relatedness coefficient (AR), in addition to Fis, Fit and Fst were estimated. It was possible to identify ancestors up to the third generation, with an increase in information over the generations. Of the total pedigree information evaluated, 90.53% had the identification of the father and mother. The effective size of the population was smaller than those proposed by FAO, suggesting the need to redefine the herd management and genetic management plan strategies, promoting gene flow and breed expansion.
Highlights
The several locally adapted breeds in Brazil were developed from specimens that were introduced by Portuguese settlers
Of the total pedigree information evaluated, 90.53% had the identification of the father and mother
The breed goes through a process of genetic dilution and a decrease in its effective size, which represents a significant threat to its survival
Summary
The several locally adapted breeds in Brazil were developed from specimens that were introduced by Portuguese settlers. Conservation and preservation actions have been carried out with the breed as maintenance of genetic material in germplasm banks, genetic studies (Egito et al, 2011; Montesinos et al, 2011) and dissemination of genetic material by assigning and lending animals to breeders in the region. It is necessary to monitor the breed status, mainly the population size, which is inversely proportional to inbreeding and is a manner to monitor the variability. It allows the identification of founding, ancestral individuals, that is, those animals with relevant genetic contributions to the population (Tino et al, 2020)
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