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Pregled bibliografske jedinice broj: 574730

Modeling of pig growth by S-function - least absolute deviation approach for parameter estimation


Vincek, Dragutin; Sabo, Kristian; Kušec, Goran; Kralik, Gordana; Đurkin, Ivona; Scitovski, Rudolf
Modeling of pig growth by S-function - least absolute deviation approach for parameter estimation // Archiv für Tierzucht = Archives animal breeding, 55 (2012), 4; 364-374 doi:10.5194/aab-55-364-2012 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 574730 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Modeling of pig growth by S-function - least absolute deviation approach for parameter estimation

Autori
Vincek, Dragutin ; Sabo, Kristian ; Kušec, Goran ; Kralik, Gordana ; Đurkin, Ivona ; Scitovski, Rudolf

Izvornik
Archiv für Tierzucht = Archives animal breeding (0003-9438) 55 (2012), 4; 364-374

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
asymmetric S-function ; pigs ; growth ; prediction ; body weight ; tissue

Sažetak
The aim of this study was to determine a mathematical model which can be used to describe the growth of the pig. The study was conducted on 60 pigs (30 barrows and 30 gilts) in the interval between the age of 49 and 215 days. All animals were weighed at 49th day after birth. For the purpose of growth measurements pigs were weighted every 7th day during the experiment. Every 21th day four pigs were selected for the slaughter according to average live weight (LW). By applying the generalized logistic function, the growth of live weight and tissues were described. Thereby optimal parameters in the model were estimated on the basis of measurement data by means of the robust Least Absolute Deviations (LAD) principle. The prediction of optimum slaughter age/weight, on the basis of such model represent a contribution of this paper to the practice.

Izvorni jezik
Engleski

Znanstvena područja
Poljoprivreda (agronomija)



POVEZANOST RADA


Projekti:
MZOS-079-0790566-0184 - Rano predviđanje kakvoće svinjskih trupova i mesa (Kušec, Goran, MZOS ) ( CroRIS)

Ustanove:
Fakultet agrobiotehničkih znanosti Osijek

Poveznice na cjeloviti tekst rada:

doi aab.copernicus.org

Citiraj ovu publikaciju:

Vincek, Dragutin; Sabo, Kristian; Kušec, Goran; Kralik, Gordana; Đurkin, Ivona; Scitovski, Rudolf
Modeling of pig growth by S-function - least absolute deviation approach for parameter estimation // Archiv für Tierzucht = Archives animal breeding, 55 (2012), 4; 364-374 doi:10.5194/aab-55-364-2012 (međunarodna recenzija, članak, znanstveni)
Vincek, D., Sabo, K., Kušec, G., Kralik, G., Đurkin, I. & Scitovski, R. (2012) Modeling of pig growth by S-function - least absolute deviation approach for parameter estimation. Archiv für Tierzucht = Archives animal breeding, 55 (4), 364-374 doi:10.5194/aab-55-364-2012.
@article{article, author = {Vincek, Dragutin and Sabo, Kristian and Ku\v{s}ec, Goran and Kralik, Gordana and \DJurkin, Ivona and Scitovski, Rudolf}, year = {2012}, pages = {364-374}, DOI = {10.5194/aab-55-364-2012}, keywords = {asymmetric S-function, pigs, growth, prediction, body weight, tissue}, journal = {Archiv f\"{u}r Tierzucht = Archives animal breeding}, doi = {10.5194/aab-55-364-2012}, volume = {55}, number = {4}, issn = {0003-9438}, title = {Modeling of pig growth by S-function - least absolute deviation approach for parameter estimation}, keyword = {asymmetric S-function, pigs, growth, prediction, body weight, tissue} }
@article{article, author = {Vincek, Dragutin and Sabo, Kristian and Ku\v{s}ec, Goran and Kralik, Gordana and \DJurkin, Ivona and Scitovski, Rudolf}, year = {2012}, pages = {364-374}, DOI = {10.5194/aab-55-364-2012}, keywords = {asymmetric S-function, pigs, growth, prediction, body weight, tissue}, journal = {Archiv f\"{u}r Tierzucht = Archives animal breeding}, doi = {10.5194/aab-55-364-2012}, volume = {55}, number = {4}, issn = {0003-9438}, title = {Modeling of pig growth by S-function - least absolute deviation approach for parameter estimation}, keyword = {asymmetric S-function, pigs, growth, prediction, body weight, tissue} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


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