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Statements

Subject Item
n2:RIV%2F00027014%3A_____%2F13%3A%230001877%21RIV14-MZE-00027014
rdf:type
skos:Concept n7:Vysledek
rdfs:seeAlso
http://www.vuzv.cz/sites/File/_privat/13108.pdf
dcterms:description
Difficulties in applying invivo methods encourage the prediction of energy values of feeds in horses from alternative methods. Previous attempts to predict energy values from chemical composition have ignored differences among experiments. The current evaluation aimed to find the most reliable predictors (chemical composition and nutrient digestibilities) of apparent total tract energy digestibility of hays. Prediction was done with treatment means from a diverse collection of studies conducted worldwide. Experiment was included as a random effect in models to control for differences among experiments, and treatments means were weighted to account for unequal variances of the means across experiments. Organic matter digestibility (OMD; %) proved to be the most reliable (root mean square error [RMSE]=1.6486; R2=0.8871) predictor of gross energy digestibility (GED; %) when calculated from 44 treatment means (n) obtained from 28 experiments conducted in 16 different studies (GED=5.527+0.8124 OMD). Neutral detergent fiber (NDF; g/kg dry matter) presented a single chemical entity that was preferred over any multipredictor equation (GED=70.4638-0.0360 NDF; RMSE=2.9462; R2=0.6309; n=58). However, the obtained equations should be validated against observed values, whereas alternative methods should be explored to predict OMD Difficulties in applying invivo methods encourage the prediction of energy values of feeds in horses from alternative methods. Previous attempts to predict energy values from chemical composition have ignored differences among experiments. The current evaluation aimed to find the most reliable predictors (chemical composition and nutrient digestibilities) of apparent total tract energy digestibility of hays. Prediction was done with treatment means from a diverse collection of studies conducted worldwide. Experiment was included as a random effect in models to control for differences among experiments, and treatments means were weighted to account for unequal variances of the means across experiments. Organic matter digestibility (OMD; %) proved to be the most reliable (root mean square error [RMSE]=1.6486; R2=0.8871) predictor of gross energy digestibility (GED; %) when calculated from 44 treatment means (n) obtained from 28 experiments conducted in 16 different studies (GED=5.527+0.8124 OMD). Neutral detergent fiber (NDF; g/kg dry matter) presented a single chemical entity that was preferred over any multipredictor equation (GED=70.4638-0.0360 NDF; RMSE=2.9462; R2=0.6309; n=58). However, the obtained equations should be validated against observed values, whereas alternative methods should be explored to predict OMD
dcterms:title
Prediction of Energy Digestibility of Hays in Horses Prediction of Energy Digestibility of Hays in Horses
skos:prefLabel
Prediction of Energy Digestibility of Hays in Horses Prediction of Energy Digestibility of Hays in Horses
skos:notation
RIV/00027014:_____/13:#0001877!RIV14-MZE-00027014
n7:predkladatel
n8:ico%3A00027014
n5:aktivita
n13:Z
n5:aktivity
Z(MZE0002701404)
n5:cisloPeriodika
9
n5:dodaniDat
n12:2014
n5:domaciTvurceVysledku
n10:2006766 n10:6286194 n10:1264745
n5:druhVysledku
n17:J
n5:duvernostUdaju
n9:S
n5:entitaPredkladatele
n18:predkladatel
n5:idSjednocenehoVysledku
98585
n5:idVysledku
RIV/00027014:_____/13:#0001877
n5:jazykVysledku
n19:eng
n5:klicovaSlova
Chemical composition, Digestibility, Energy, Hays, Prediction
n5:klicoveSlovo
n15:Prediction n15:Energy n15:Digestibility n15:Hays n15:Chemical%20composition
n5:kodStatuVydavatele
US - Spojené státy americké
n5:kontrolniKodProRIV
[13DE08B72093]
n5:nazevZdroje
Journal of Equine Veterinary Science 
n5:obor
n20:GH
n5:pocetDomacichTvurcuVysledku
3
n5:pocetTvurcuVysledku
3
n5:rokUplatneniVysledku
n12:2013
n5:svazekPeriodika
33
n5:tvurceVysledku
Koukolová, Veronika Sales, James Homolka, Petr
n5:wos
000324563300007
n5:zamer
n6:MZE0002701404
s:issn
0737-0806
s:numberOfPages
7
n14:doi
10.1016/j.jevs.2012.12.001