Isa Brown yumurtlayan tavuklarda yumurta kalitesi özelliklerinin analizi ve yumurta ağırlığının tahmini

Amaç: Bu çalışmanın amacı, dış ve iç yumurta parametrelerini kullanarak Isa Brown yumurtlayan tavukların yumurta ağırlığını tahmin etmek için en uygun regresyon modelini belirlemektir. Materyal ve Yöntem: Toplanan veriler şunları içerir: yumurta ağırlığı (EWT), yumurta uzunluğu (EL), yumurta çapı (ED), kabuk kalınlığı (ST), kabuk ağırlığı (SW), albümin yüksekliği (AH), albümin ağırlığı (AW), yumurta sarısı yüksekliği (YH), yumurta sarısı ağırlığı (YW) ve yumurta sarısı uzunluğu (YL). Veriler SPSS (sürüm 23.0.0) 'in istatistiksel analiz prosedürlerine tabi tutuldu. Bağımlı değişkendeki değişimi açıklayan yumurta parametrelerinin kombinasyonlarını belirlemek için yumurta ağırlığı, ileri, geri ve tam model regresyon prosedürleri kullanılarak dış ve iç yumurta parametreleri üzerinde gerilemiştir. Bulgular: Sonuçlar EWT, EL, ED, ST, SW, AH, AW, YH, YW ve YL(±SE)'nin sırasıyla 60.49±0.47, 4.23±0.03, 2.94±0.02, 1.37±0.01, 6.04±0.05, 1.20±0.01, 36.30±0.39, 1.22±0.02, 15.29±0.15 ve 2.32±0.02 olarak belirlenmiştir. EWT = 30.638+0.582AW+0.571YW ve EWT = -14.991+8.779EL+5.493ED+3.686 modelleri, Isa Brown yumurtlayan tavukların yumurta ağırlığını tahmin etmek için en uygun regresyon modelleridir. Sonuç: Sonuç olarak, Isa Brown yumurtlayan tavukların yumurta ağırlığı EL, ED, ST ve SW özellikleri için seçim yoluyla iyileştirilebilir.

Anahtar Kelimeler:

Yumurta ağırlığı, yumurta kalitesi özellikleri, Isa Brown tavuğu, regresyon

Analysis of egg quality traits and prediction of egg weight in Isa Brown laying hens

Objective: The objective of this study was to determine the best-fitted regression model for estimating egg weight of Isa Brown laying chickens using external and internal egg parameters. Materials and Method: Data collected include: egg weight (EWT), egg length (EL), egg diameter (ED), shell thickness (ST), shell weight (SW), albumen height (AH), albumen weight (AW), yolk height (YH), yolk weight (YW) and yolk length (YL). Data were subjected to statistical analysis procedures of SPSS (version 23.0.0). Egg weight was regressed on external and internal egg parameters using forward, backward and full model regression procedures, to determine the combinations of egg parameters that explain variation in the dependent variable. Results: Results showed that the mean (±SE) of EWT, EL, ED, ST, SW, AH, AW, YH, YW and YL were 60.49±0.47, 4.23±0.03, 2.94±0.02, 1.37±0.01, 6.04±0.05, 1.20±0.01, 36.30±0.39, 1.22±0.02, 15.29±0.15 and 2.32±0.02 respectively. The models of EWT = 30.638+0.582AW+0.571YW and EWT = -14.991+8.779EL+5.493ED+3.686SW are the best fitted regression models for predicting egg weight of Isa Brown laying chickens. Conclusion: Conclusively, egg weight of Isa Brown laying chickens can be improved through selection for EL, ED, ST and SW trait

Keywords:

Egg weight, egg quality traits, Isa Brown hen, regression,

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