Cattle include a large number of breeds that are characterized by marked phenotypic differences and thus constitute a valuable model to study genome evolution in response to processes such as selection and domestication. Detection of "signatures of selection" is a useful approach to study the evolutionary pressures experienced throughout history. In the present study, signatures of selection were investigated in five cattle breeds farmed in Italy using a multivariate approach.

Use of canonical discriminant analysis to study signatures of selection in cattle / Sorbolini, Silvia; Gaspa, Giustino; Steri, Roberto; Dimauro, Corrado; Cellesi, Massimo; Stella, Alessandra; Marras, Gabriele; Marsan, Paolo Ajmone; Valentini, Alessio; Macciotta, Nicolò Pietro Paolo. - In: GENETICS SELECTION EVOLUTION. - ISSN 1297-9686. - 48:1(2016), pp. 1-13. [10.1186/s12711-016-0236-7]

Use of canonical discriminant analysis to study signatures of selection in cattle

Sorbolini, Silvia;Gaspa, Giustino;Steri, Roberto;Dimauro, Corrado;Cellesi, Massimo;Macciotta, Nicolò Pietro Paolo
2016-01-01

Abstract

Cattle include a large number of breeds that are characterized by marked phenotypic differences and thus constitute a valuable model to study genome evolution in response to processes such as selection and domestication. Detection of "signatures of selection" is a useful approach to study the evolutionary pressures experienced throughout history. In the present study, signatures of selection were investigated in five cattle breeds farmed in Italy using a multivariate approach.
2016
Use of canonical discriminant analysis to study signatures of selection in cattle / Sorbolini, Silvia; Gaspa, Giustino; Steri, Roberto; Dimauro, Corrado; Cellesi, Massimo; Stella, Alessandra; Marras, Gabriele; Marsan, Paolo Ajmone; Valentini, Alessio; Macciotta, Nicolò Pietro Paolo. - In: GENETICS SELECTION EVOLUTION. - ISSN 1297-9686. - 48:1(2016), pp. 1-13. [10.1186/s12711-016-0236-7]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11388/162323
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