Principal component and cluster analyses to evaluate production and milk quality traits | Zendy

Bueno da Silva Abreu | Zendy; Severino Be Paes Barbosa | Zendy; Elizabete Cristina da Silva | Zendy; Kleber Régis Santoro | Zendy; Ângela Maria Vieira Batista | Zendy; Rafael Leonardo Vargas Martínez | Zendy

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Principal component and cluster analyses to evaluate production and milk quality traits

Author(s) -

Bueno da Silva Abreu,

Severino Be Paes Barbosa,

Elizabete Cristina da Silva,

Kleber Régis Santoro,

Ângela Maria Vieira Batista,

Rafael Leonardo Vargas Martínez

Publication year - 2020

Publication title -

ciência agronômica/revista ciência agronômica

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.424

H-Index - 26

eISSN - 1806-6690

pISSN - 0045-6888

DOI - 10.5935/1806-6690.20200060

Subject(s) - principal component analysis , lactose , multivariate statistics , multivariate analysis , total dissolved solids , cluster (spacecraft) , milk production , somatic cell count , statistics , production (economics) , mathematics , zoology , food science , biology , microbiology and biotechnology , lactation , environmental science , computer science , macroeconomics , economics , programming language , pregnancy , genetics , environmental engineering , ice calving

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