Araştırma Makalesi
BibTex RIS Kaynak Göster

Yumurtacı Tavuklarda Yumurta Verim Eğrilerinin Modellenmesi

Yıl 2020, Cilt: 23 Sayı: 5, 1373 - 1778, 31.10.2020

Emin Yalçınöz Mustafa Şahin

https://doi.org/10.18016/ksutarimdoga.vi.691069
Cited By: 4

Öz

Bu çalışmada yumurtacı tavuklarda yumurta verim eğrilerinin modellenmesinde kullanılan bazı modeller karşılaştırmalı olarak incelenmiştir. Bu amaçla Nick Brown ve Leghorn ırkı tavukların 18. haftadan 59. haftaya kadar olan haftalık yumurta verimleri kullanılmıştır. Modelleme çalışmasında yaygın olarak kullanılan iki farklı kubik parçalı regresyon (iki ve üç boğumlu), lojistik, MMF, gamma, McNally, modifiye compartmental ve kuadratik parçalı regresyon modelleri ele alınmıştır. Modellerin karşılaştırılmasında ise hata kareler ortalamaları, belirleme katsayısı, düzeltilmiş belirleme katsayısı, akaike bilgi kriteri ve durbin-watson otokorelasyon değerleri kullanılmıştır. Çalışma sonucunda her iki ırktada en iyi sonuçlar modifiye compartmental modelinden elde edilmiştir (Nick Brown; HKO=0.000007, R2=0.9999, R ̅^2=0.9998, AIC=-392.966, DW=1.345: Leghorn; HKO=0.0001, R2=0.9998, R ̅^2=0.9997, AIC=-373.225, DW=1.845). Kuadratik parçalı regresyonun ise incelenen modeller içerisinde en kötü sonuçlara sahip olduğu belirlenmiştir (Nick Brown; HKO=0.0007, R2=0.9486, R ̅^2=0.9412 AIC=-298.257, DW=2.341: Leghorn; HKO=0.0002, R2=0.9787, R ̅^2=0.9776, AIC=-340.824, DW=2.171).

Anahtar Kelimeler

Yumurta verimi Eğri Modelleme

Teşekkür

Emin Yalçınöz’ün "Yumurtacı Tavuklarda Yumurta Verim Eğrilerinin Modellenmesi" isimli yüksek lisans tez çalışmasından özetlenmiştir.

Kaynakça

  • Anang A, Indrijani H2006. Mathematical Models to Describe Egg Production in Laying Hens (Review) (Model Matematik untuk Menggambarkan Kurva Produksi Telur pada Ayam Petelur (Review). Jurnal Ilmu Ternak, Desember, 6(2): 91 – 95.
  • Bindya LA, Murthy HNN, Jayashankar MR, Govindaiah MG 2010. Mathematical Models for Egg Production in an Indian Colored Broiler Dam Line. International Journal of Poultry Science, 9 (9): 916-919.
  • Cason JA, Ware GO 1990. Analysis of flock egg production curves using generalized growth functions. Poultry Science, 69: 1064-1069.
  • Çadırcı Ş, Koncagül S 2013. Effects of initial body weight and feed intake on individual weekly egg production curve of laying hens. Agric. Fac. HR.U., 17(1): 15-23.
  • Demir O, Macit M, Çelebi Ş, Esenbuğa N, Kaya H 2017. Yumurtacı Tavuk Rasyonlarına Değişik Oranlarda Katılan Humat’ın Yumurta Verimine Etkisinin Gamma ve Mcnally Modelleri ile Analizi. Alınteri Journal of Agricultural Sciences, 32(2): 81-86.
  • Gavora JS, Parker RJ, Mcmillan I 1971. Mathematical model of egg production. Poultry Science. 50: 1306-1315.
  • Grossman M, Koops WJ 2001. A model for individual egg production in chickens. Poultry Science, 80: 859-867.
  • Grossman M, Gossman TN, Koops WJ 2000. A model for persistency of egg production. Poultry Science, 79: 1715-1724.
  • Koops WJ, Grossman M 1992. Characterization of poultry egg production using a multiphasic approach. Poultry Science, 71: 399-405.
  • Mcmillan I 1981. Compartmental model analysis of poultry egg production curves. Poultry Science, 60: 1549-1551.
  • Miyoshi S, Luc MK, Kuchida K, Mitsumoto T 1996. Application of Nonlinear Models to Egg Production Curves in Chickens. Jpn. Poultry Science, 33: 178-184.
  • Narinç D, Üçkardeş F, Aslan E 2014. Egg production curve analyses in poultry science. World's Poultry Science Journal, 70(04): 817-828.
  • Narushin VG, Takma C 2003. Sigmoid model for the evaluation of growth and production curves in laying hens. Biosystems Engineering, 84: 343-348.
  • SAS Institute (2011) SAS/STAT User Guide. Version 9.3 edition. SAS Institute Inc.
  • Savegnago RP, Cruz VA, Ramos SB, Caetano SL, Schmidt GS, Ledur MC, El Faro L, Munari DP 2012. Egg production curve fitting using nonlinear models for selected and nonselected lines of White Leghorn hens. Poultry Science, 91: 2977-2987.
  • Yalçınöz E, 2020. Yumurtacı Tavuklarda Yumurta Verim Eğrilerinin Modellenmesi. Kahramanmaraş Sütçü İmam Üniversitesi, Fen Bilimleri Enstitüsü, 46s.
  • Yang N, Wu C, Mcmillan L 1989. A new mathematical model for poultry egg production. Poultry Science, 68: 476-481.

Modelıng of Egg Productıon Curves in Poultry

Yıl 2020, Cilt: 23 Sayı: 5, 1373 - 1778, 31.10.2020

Emin Yalçınöz Mustafa Şahin

https://doi.org/10.18016/ksutarimdoga.vi.691069
Cited By: 4

Öz

In this study, some models used in the modeling of egg yield curves in laying hens were examined comparatively. For this purpose, the weekly egg yields of Nick Brown and Leghorn chickens from 18th to 59th weeks were used. In the modeling study, two widely used cubic segment regression (two and three node), logistic, MMF, gamma, McNally, modified compartmental and quadratic segment regression models were discussed. In the comparison of the models, mean square error, coefficient of determination, corrected coefficient of determination, acoustic information criterion and durbin-watson autocorrelation values were used. As a result of the study, the best results were obtained from the modified compartmental model in both races (Nick Brown; HKO=0.000007, R2=0.9999, R ̅^2=0.9998, AIC=-392.966, DW=1.345: Leghorn; HKO=0.0001, R2=0.9998, R ̅^2=0.9997, AIC=-373.225, DW=1.845). The quadratic segment regression has the worst results among the examined models (Nick Brown; HKO=0.0007, R2=0.9486, R ̅^2=0.9412 AIC=-298.257, DW=2.341: Leghorn; HKO=0.0002, R2=0.9787, R ̅^2=0.9776, AIC=-340.824, DW=2.171).

Anahtar Kelimeler

Egg yield Curve Modelling

Kaynakça

  • Anang A, Indrijani H2006. Mathematical Models to Describe Egg Production in Laying Hens (Review) (Model Matematik untuk Menggambarkan Kurva Produksi Telur pada Ayam Petelur (Review). Jurnal Ilmu Ternak, Desember, 6(2): 91 – 95.
  • Bindya LA, Murthy HNN, Jayashankar MR, Govindaiah MG 2010. Mathematical Models for Egg Production in an Indian Colored Broiler Dam Line. International Journal of Poultry Science, 9 (9): 916-919.
  • Cason JA, Ware GO 1990. Analysis of flock egg production curves using generalized growth functions. Poultry Science, 69: 1064-1069.
  • Çadırcı Ş, Koncagül S 2013. Effects of initial body weight and feed intake on individual weekly egg production curve of laying hens. Agric. Fac. HR.U., 17(1): 15-23.
  • Demir O, Macit M, Çelebi Ş, Esenbuğa N, Kaya H 2017. Yumurtacı Tavuk Rasyonlarına Değişik Oranlarda Katılan Humat’ın Yumurta Verimine Etkisinin Gamma ve Mcnally Modelleri ile Analizi. Alınteri Journal of Agricultural Sciences, 32(2): 81-86.
  • Gavora JS, Parker RJ, Mcmillan I 1971. Mathematical model of egg production. Poultry Science. 50: 1306-1315.
  • Grossman M, Koops WJ 2001. A model for individual egg production in chickens. Poultry Science, 80: 859-867.
  • Grossman M, Gossman TN, Koops WJ 2000. A model for persistency of egg production. Poultry Science, 79: 1715-1724.
  • Koops WJ, Grossman M 1992. Characterization of poultry egg production using a multiphasic approach. Poultry Science, 71: 399-405.
  • Mcmillan I 1981. Compartmental model analysis of poultry egg production curves. Poultry Science, 60: 1549-1551.
  • Miyoshi S, Luc MK, Kuchida K, Mitsumoto T 1996. Application of Nonlinear Models to Egg Production Curves in Chickens. Jpn. Poultry Science, 33: 178-184.
  • Narinç D, Üçkardeş F, Aslan E 2014. Egg production curve analyses in poultry science. World's Poultry Science Journal, 70(04): 817-828.
  • Narushin VG, Takma C 2003. Sigmoid model for the evaluation of growth and production curves in laying hens. Biosystems Engineering, 84: 343-348.
  • SAS Institute (2011) SAS/STAT User Guide. Version 9.3 edition. SAS Institute Inc.
  • Savegnago RP, Cruz VA, Ramos SB, Caetano SL, Schmidt GS, Ledur MC, El Faro L, Munari DP 2012. Egg production curve fitting using nonlinear models for selected and nonselected lines of White Leghorn hens. Poultry Science, 91: 2977-2987.
  • Yalçınöz E, 2020. Yumurtacı Tavuklarda Yumurta Verim Eğrilerinin Modellenmesi. Kahramanmaraş Sütçü İmam Üniversitesi, Fen Bilimleri Enstitüsü, 46s.
  • Yang N, Wu C, Mcmillan L 1989. A new mathematical model for poultry egg production. Poultry Science, 68: 476-481.
Toplam 17 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Ziraat, Veterinerlik ve Gıda Bilimleri
Bölüm ARAŞTIRMA MAKALESİ (Research Article)
Yazarlar

Emin Yalçınöz 0000-0002-9195-7793

Mustafa Şahin 0000-0003-3622-4543

Yayımlanma Tarihi 31 Ekim 2020
Gönderilme Tarihi 19 Şubat 2020
Kabul Tarihi 9 Nisan 2020
Yayımlandığı Sayı Yıl 2020Cilt: 23 Sayı: 5

Kaynak Göster

APA Yalçınöz, E., & Şahin, M. (2020). Yumurtacı Tavuklarda Yumurta Verim Eğrilerinin Modellenmesi. Kahramanmaraş Sütçü İmam Üniversitesi Tarım Ve Doğa Dergisi, 23(5), 1373-1778. https://doi.org/10.18016/ksutarimdoga.vi.691069

Cited By

A Study on Body Weight and Carcass Characteristics and Sex in Broilers.
Türk Doğa ve Fen Dergisi
https://doi.org/10.46810/tdfd.1312341
Modeling Egg Curves In Partridges
Black Sea Journal of Agriculture
https://doi.org/10.47115/bsagriculture.1139272
Investigation Effects of Self-Efficacy Levels of Athletes Students on Academic Achievement by Logistic Regression
Akdeniz Spor Bilimleri Dergisi
https://doi.org/10.38021/asbid.1182968
Yumurtacı Tavuklarda Yumurta Verim Eğrilerinin Modellenmesi
Kahramanmaraş Sütçü İmam Üniversitesi Tarım ve Doğa Dergisi
Emin YALÇINÖZ
https://doi.org/10.18016/ksutarimdoga.vi.691069
 Kapak Resmi İndir

21082



2022-JIF = 0.500

2022-JCI = 0.170

Uluslararası Hakemli Dergi (International Peer Reviewed Journal)

       Dergimiz, herhangi bir başvuru veya yayımlama ücreti almamaktadır. (Free submission and publication)

      Yılda 6 sayı yayınlanır. (Published 6 times a year)


88x31.png 

Bu web sitesi Creative Commons Atıf 4.0 Uluslararası Lisansı ile lisanslanmıştır.

                 


Kahramanmaraş Sütçü İmam Üniversitesi Tarım ve Doğa Dergisi
e-ISSN: 2619-9149