Genetic parameter estimation to milk yield and fat and protein yield deviated from 3% of concentration in milk, in dairy herds of southern Chile

ABSTRACT: Chilean milk processing industry is providing clear signs to milk farmers regarding the significant importance of milk solids within raw milk payment schemes. A litre of milk containing 3% of fat and 3% of protein is defined as a basic litre and, each additional kilo of fat and/or protein...

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Autores principales: Uribe,Héctor, González,Humberto, Gatica,Carlos
Lenguaje:English
Publicado: Universidad Austral de Chile. Facultad de Ciencias Veterinarias 2017
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Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0719-81322017000200071
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spelling oai:scielo:S0719-813220170002000712017-11-14Genetic parameter estimation to milk yield and fat and protein yield deviated from 3% of concentration in milk, in dairy herds of southern ChileUribe,HéctorGonzález,HumbertoGatica,Carlos genetic improvement milk solids ABSTRACT: Chilean milk processing industry is providing clear signs to milk farmers regarding the significant importance of milk solids within raw milk payment schemes. A litre of milk containing 3% of fat and 3% of protein is defined as a basic litre and, each additional kilo of fat and/or protein receives an extra payment. These are new production traits which must be researched on. In this study, 64,029 lactations, on 24 Región de Los Ríos at Southern of Chile herds, were used. Genetic parameters for milk yield and fat and protein above 3% yield were estimated. A multiple trait linear model, solved by BLUP methodology, was used. Variance components were estimated using AIREMLF90 and VCE software. Estimated heritability for milk yield, and fat and protein above 3% yield were 0.16±0.004, 0.44±0.007 and 0.42±0.006, respectively. Estimated genetic correlations were -0.285 and -0.331 between milk yield and fat and protein above 3% yield, respectively. It is concluded that there exist genetic variation for the two new traits proposed by the Chilean milk processing industry and, genetic selection for these traits should be done based on their estimated breeding values. However these two traits, plus milk yield, should be included in a selection index to account for the negative genetic correlations among them and minimise selection against milk yield.info:eu-repo/semantics/openAccessUniversidad Austral de Chile. Facultad de Ciencias VeterinariasAustral journal of veterinary sciences v.49 n.2 20172017-05-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0719-81322017000200071en10.4067/S0719-81322017000200071
institution Scielo Chile
collection Scielo Chile
language English
topic genetic improvement
milk solids
spellingShingle genetic improvement
milk solids
Uribe,Héctor
González,Humberto
Gatica,Carlos
Genetic parameter estimation to milk yield and fat and protein yield deviated from 3% of concentration in milk, in dairy herds of southern Chile
description ABSTRACT: Chilean milk processing industry is providing clear signs to milk farmers regarding the significant importance of milk solids within raw milk payment schemes. A litre of milk containing 3% of fat and 3% of protein is defined as a basic litre and, each additional kilo of fat and/or protein receives an extra payment. These are new production traits which must be researched on. In this study, 64,029 lactations, on 24 Región de Los Ríos at Southern of Chile herds, were used. Genetic parameters for milk yield and fat and protein above 3% yield were estimated. A multiple trait linear model, solved by BLUP methodology, was used. Variance components were estimated using AIREMLF90 and VCE software. Estimated heritability for milk yield, and fat and protein above 3% yield were 0.16±0.004, 0.44±0.007 and 0.42±0.006, respectively. Estimated genetic correlations were -0.285 and -0.331 between milk yield and fat and protein above 3% yield, respectively. It is concluded that there exist genetic variation for the two new traits proposed by the Chilean milk processing industry and, genetic selection for these traits should be done based on their estimated breeding values. However these two traits, plus milk yield, should be included in a selection index to account for the negative genetic correlations among them and minimise selection against milk yield.
author Uribe,Héctor
González,Humberto
Gatica,Carlos
author_facet Uribe,Héctor
González,Humberto
Gatica,Carlos
author_sort Uribe,Héctor
title Genetic parameter estimation to milk yield and fat and protein yield deviated from 3% of concentration in milk, in dairy herds of southern Chile
title_short Genetic parameter estimation to milk yield and fat and protein yield deviated from 3% of concentration in milk, in dairy herds of southern Chile
title_full Genetic parameter estimation to milk yield and fat and protein yield deviated from 3% of concentration in milk, in dairy herds of southern Chile
title_fullStr Genetic parameter estimation to milk yield and fat and protein yield deviated from 3% of concentration in milk, in dairy herds of southern Chile
title_full_unstemmed Genetic parameter estimation to milk yield and fat and protein yield deviated from 3% of concentration in milk, in dairy herds of southern Chile
title_sort genetic parameter estimation to milk yield and fat and protein yield deviated from 3% of concentration in milk, in dairy herds of southern chile
publisher Universidad Austral de Chile. Facultad de Ciencias Veterinarias
publishDate 2017
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0719-81322017000200071
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AT gonzalezhumberto geneticparameterestimationtomilkyieldandfatandproteinyielddeviatedfrom3ofconcentrationinmilkindairyherdsofsouthernchile
AT gaticacarlos geneticparameterestimationtomilkyieldandfatandproteinyielddeviatedfrom3ofconcentrationinmilkindairyherdsofsouthernchile
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