Optimizacija krmnega obroka za goveje pitance

Krmljenje govejih pitancev je zahtevno opravilo. Potrebno je veliko znanja o prehranskih navadah ter o sami konzumacijski sposobnosti pitanca. Ko sestavljamo krmni obrok za pitance, moramo upoštevati normative za vzdrževalne potrebe in dnevni prirast. Za potrebe raziskave smo naredili Weendsko anali...

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Bibliographic Details
Main Author: Horvat, Timotej
Other Authors: Rozman, Črtomir
Format: Master Thesis
Language:Slovenian
Published: 2017
Subjects:
Online Access:https://dk.um.si/IzpisGradiva.php?id=64967
https://dk.um.si/Dokument.php?id=109433&dn=
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Summary:Krmljenje govejih pitancev je zahtevno opravilo. Potrebno je veliko znanja o prehranskih navadah ter o sami konzumacijski sposobnosti pitanca. Ko sestavljamo krmni obrok za pitance, moramo upoštevati normative za vzdrževalne potrebe in dnevni prirast. Za potrebe raziskave smo naredili Weendsko analizo razpoložljivih surovin in izračunali krmni obrok. Optimizirali smo ga s pomočjo linearnega programiranja. V Excelovem okolju smo ustvarili model in s pomočjo reševalnika dobili najcenejše obroke, ki so pokrili vse potrebe po hranilnih snoveh. Za vsako posamezno krmo, ki jo pridelamo doma, smo izračunali lastno ceno, za živinsko sol, super koncentrat ter mineralno vitaminski dodatek pa smo uporabili nabavno ceno. Nato smo primerjali ceno obroka, ki smo ga krmili do zdaj, s ceno obroka, ki nam ga je ponudil reševalec z optimizacijo. Rezultat tega je, da je po optimizaciji dnevni obrok za pitanca v skupini 500 kilogramov za 0,14 evra dražji od obroka, ki smo ga predhodno polagali, vendar pitanci priraščajo za 200 g na dan več. Feeding cattle fattening is a demanding chore. It requires a lot of knowledge on eating habits and on consumation ability of fattening itself. When preparing the feed ration we have to consider the norms for mainenance needs and daily gain. For research purposes, we conducted the wend analysis of available feed sources and calculated the feed ration. We optimimzed it with linear programming. We created a model in the Excel environment and got the cheapest rations with the help of a solver that covered all nutrition needs. For each feed we produce at home, we calculated its own price, while we used the purchase price for livestock salt, super concentrat and mineral vitamine additive. Then we compared the ration price that we were feeding until now with the price of a ration offered by the rescuer with optimization. The result is the fact that after optimization the daily ration for an individual fattening in a group is 500 kg for 0,14 euros more expensive than the one fed previously, with the fattening gaining 200g per day more