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Statements

Subject Item
n2:RIV%2F00027014%3A_____%2F14%3A%230002091%21RIV15-MZE-00027014
rdf:type
skos:Concept n17:Vysledek
rdfs:seeAlso
http://www.agriculturejournals.cz/publicFiles/138127.pdf
dcterms:description
Genetic and phenotypic correlations between production traits, selected linear type traits, and somatic cell score were estimated. The results could be useful for breeding programs involving Czech Holstein dairy cows or other populations. A series of bivariate analyses was applied whereby (co)variance components were estimated using average information (AI-REML) implemented via the DMU statistical package. Chosen phenotypic data included average somatic cell score per a 305-day standard first lactation as well as the production traits milk yield, fat yield, protein yield, fat percentage, and protein percentage per the standard first lactation. Fifteen classified linear type traits were added, as they were measured at first lactation in the Czech Holstein population. All phenotypic data were collected within the progeny testing program of the Czech-Moravian Breeders Corporation from 2005 to 2009. The number of animals for each linear type trait was 59 454, except for locomotion, for which 53 424 animals were recorded. The numbers of animals with records of milk production data were 43 992 for milk yield, fat percentage, protein percentage, and fat-to-protein percentage ratio and 43 978 for fat yield and protein yield. In total, 27 098 somatic cell score records were available. The strongest positive genetic correlation between production traits and linear type traits was estimated between udder width and fat yield (0.51 +/- 0.04), while the strongest negative correlation estimated was between body condition score and fat yield (-0.45 +/- 0.03). Other estimated correlations were between those two extremes but generally they were close to zero or positive. The strongest negative phenotypic correlations were estimated between udder depth and milk yield and protein yield (both -0.17), while the strongest positive phenotypic correlations were estimated between milk yield, protein yield, and udder width (both 0.32). Genetic and phenotypic correlations between production traits, selected linear type traits, and somatic cell score were estimated. The results could be useful for breeding programs involving Czech Holstein dairy cows or other populations. A series of bivariate analyses was applied whereby (co)variance components were estimated using average information (AI-REML) implemented via the DMU statistical package. Chosen phenotypic data included average somatic cell score per a 305-day standard first lactation as well as the production traits milk yield, fat yield, protein yield, fat percentage, and protein percentage per the standard first lactation. Fifteen classified linear type traits were added, as they were measured at first lactation in the Czech Holstein population. All phenotypic data were collected within the progeny testing program of the Czech-Moravian Breeders Corporation from 2005 to 2009. The number of animals for each linear type trait was 59 454, except for locomotion, for which 53 424 animals were recorded. The numbers of animals with records of milk production data were 43 992 for milk yield, fat percentage, protein percentage, and fat-to-protein percentage ratio and 43 978 for fat yield and protein yield. In total, 27 098 somatic cell score records were available. The strongest positive genetic correlation between production traits and linear type traits was estimated between udder width and fat yield (0.51 +/- 0.04), while the strongest negative correlation estimated was between body condition score and fat yield (-0.45 +/- 0.03). Other estimated correlations were between those two extremes but generally they were close to zero or positive. The strongest negative phenotypic correlations were estimated between udder depth and milk yield and protein yield (both -0.17), while the strongest positive phenotypic correlations were estimated between milk yield, protein yield, and udder width (both 0.32).
dcterms:title
Analyses of genetic relationships between linear type traits, fat-to-protein ratio, milk production traits, and somatic cell count in first-parity Czech Holstein cow Analyses of genetic relationships between linear type traits, fat-to-protein ratio, milk production traits, and somatic cell count in first-parity Czech Holstein cow
skos:prefLabel
Analyses of genetic relationships between linear type traits, fat-to-protein ratio, milk production traits, and somatic cell count in first-parity Czech Holstein cow Analyses of genetic relationships between linear type traits, fat-to-protein ratio, milk production traits, and somatic cell count in first-parity Czech Holstein cow
skos:notation
RIV/00027014:_____/14:#0002091!RIV15-MZE-00027014
n3:aktivita
n12:Z n12:P
n3:aktivity
P(QI91A238), Z(MZE0002701404)
n3:cisloPeriodika
12
n3:dodaniDat
n7:2015
n3:domaciTvurceVysledku
n10:4008367 n10:6391141 n10:3846636 n10:1195735
n3:druhVysledku
n14:J
n3:duvernostUdaju
n11:S
n3:entitaPredkladatele
n8:predkladatel
n3:idSjednocenehoVysledku
2576
n3:idVysledku
RIV/00027014:_____/14:#0002091
n3:jazykVysledku
n18:eng
n3:klicovaSlova
Holstein cattle, genetic parameters, milk yield, somatic cell score
n3:klicoveSlovo
n9:genetic%20parameters n9:Holstein%20cattle n9:somatic%20cell%20score n9:milk%20yield
n3:kodStatuVydavatele
CZ - Česká republika
n3:kontrolniKodProRIV
[59605F9AE189]
n3:nazevZdroje
Czech Journal of Animal Science
n3:obor
n15:GI
n3:pocetDomacichTvurcuVysledku
4
n3:pocetTvurcuVysledku
6
n3:projekt
n16:QI91A238
n3:rokUplatneniVysledku
n7:2014
n3:svazekPeriodika
59
n3:tvurceVysledku
Zink, Vojtěch Vacek, Mojmír Zavadilová, Ludmila Lassen, J. Štípková, Miloslava Štolc, Ladislav
n3:wos
000346482200001
n3:zamer
n19:MZE0002701404
s:issn
1212-1819
s:numberOfPages
9