Založba Univerze v Ljubljani / University of Ljubljana Press
Doi
Abstract
825 random samples of hay, 655 the first cut and 170 aftergrass, were analysed according to Weende analysis. The results were accounted with the statistical package SPSS so that multiple regessions were calculated for the starch equivalent (SE) and net energy for lactation (NEL) for all samples and separately for the first cut and aftergrass respect. The equations were carried out with the stepwise inculding the separate nutrients. All multiple regression coefficients (R) were very higly significant. For the first cut samples, the estimation of SE on the base of all nutrients was very accurate (R=0.9796, s.e.=1.4502). For the practice, it is sufficient to estimate it with the crude fibre (CF) and crude protein (CP) contents only (R=0.9613, s.e.=1.9861). In the case of estimation of NEL it is necessary to take into account all nutrients (R=0.9429, s.e.=0.1822). It is possible to estimate SE well with all nutrients (R=0.95488, s.e.=0.14164) in afftergrass. For NEL CP, ether extract and nitrogen-free extractives (R=0.93487, s.e.=0.14164) are sufficient. When the samples are not defined, SE and NEL should be estimated with all nutrients (R=0.97186, s.e.=1.69134 resp. R=0.95646, s.e.=0.15974).825 naključnih vzorcev mrve, od tega 655 vzorcev sena prve košnje in 170 otave, smo analizirali po weendski analizi. Rezultate smo s statističnim paketom SPSS obračunali tako, da smo izračunali multiple regresije za vsebnost škrobnih enot (ŠE) in nemško neto energijo laktacije (NEL) in to za vse vzorce skupaj ter posebej za vzorce prve košnje oz. otave. Enačbe smo izračunavali s postopnim vključevanjem posameznih hranilnih snovi. Multipli regresijski koeficienti (R) so bili v vseh primerih zelo visoko značilni. Pri vzorcih prve košnje je ocena ŠE na osnovi vseh določitev zelo natančna (R=0,9796, s.n.=1,4502). Za potrebe v praksi zadostuje ocena na osnovi vsebnosti surove vlaknine (SV) in surovih beljakovin (SB) (R=0,9613, s.n.=1,9861). Za oceno NEL pa moramo upoštevati vse hranilne snovi (R=0,9429, s.n.=0,1822). Pri otavi ocenimo vsebnost ŠE dobro z vsemi določitvami (R=0,95488, s.n.=0,14164). Za oceno NEL pa zadoščajo podatki o SV, etrskem izvlečku in brezdušičnih izvlečkih, (R=0,93487, s.n.=0,14164). V primerih, ko vzorec mrve ni definiran lahko ocenimo vsebnost ŠE in NEL na osnovi vseh določitev (R=0,97186, s.n.=1,69134 oz. R=0,95646, s.n.=0,15974)
