STOCHASTIC ANALYSIS OF PROFITABILITY OF THE PIG BREEDING PROCESS
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12510%2F16%3A43890363" target="_blank" >RIV/60076658:12510/16:43890363 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.11118/actaun201664010255" target="_blank" >http://dx.doi.org/10.11118/actaun201664010255</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.11118/actaun201664010255" target="_blank" >10.11118/actaun201664010255</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
STOCHASTIC ANALYSIS OF PROFITABILITY OF THE PIG BREEDING PROCESS
Popis výsledku v původním jazyce
This study deals with the economy of agricultural production, specifi cally in animal farming. The main goal is to fi nd and apply an effi cient simulation model of pig breeding process in order to investigate the impact of various changes in the production settings on the economy of a particular pig breeding. For this reason, it is necessary to take values given in the study as model ones. Costs at particular parts of the breeding process were used as the main simulation inputs, together with number of parities, length of farrowing interval, number of weaned piglets depending on a parity number, lactation length, and the gestation length of sows. Additional inputs were price of produced piglets, price of insemination doses etc. Statistical distributions for the simulations of the inputs were obtained with theoretical curve fi tting of sample data, which were provided from research projects focused on piglet production effi ciency. The empirical distribution of sow profi tability depending on the number of parities, which can help to decide about the culling of sows from the herd, was also determined in the research. A simulation was performed using the program @RISK. The obtained results and recommendations are discussed at the end of the paper.
Název v anglickém jazyce
STOCHASTIC ANALYSIS OF PROFITABILITY OF THE PIG BREEDING PROCESS
Popis výsledku anglicky
This study deals with the economy of agricultural production, specifi cally in animal farming. The main goal is to fi nd and apply an effi cient simulation model of pig breeding process in order to investigate the impact of various changes in the production settings on the economy of a particular pig breeding. For this reason, it is necessary to take values given in the study as model ones. Costs at particular parts of the breeding process were used as the main simulation inputs, together with number of parities, length of farrowing interval, number of weaned piglets depending on a parity number, lactation length, and the gestation length of sows. Additional inputs were price of produced piglets, price of insemination doses etc. Statistical distributions for the simulations of the inputs were obtained with theoretical curve fi tting of sample data, which were provided from research projects focused on piglet production effi ciency. The empirical distribution of sow profi tability depending on the number of parities, which can help to decide about the culling of sows from the herd, was also determined in the research. A simulation was performed using the program @RISK. The obtained results and recommendations are discussed at the end of the paper.
Klasifikace
Druh
J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
CEP obor
BB - Aplikovaná statistika, operační výzkum
OECD FORD obor
—
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2016
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis
ISSN
1211-8516
e-ISSN
—
Svazek periodika
64
Číslo periodika v rámci svazku
1
Stát vydavatele periodika
CZ - Česká republika
Počet stran výsledku
10
Strana od-do
255-264
Kód UT WoS článku
—
EID výsledku v databázi Scopus
—