Japon Bıldırcınlarında Yumurta İç Kalite Özelliklerinin Tahmin Edilmesinde Temel Bileşenler Regresyon Yöntemi İle En Küçük Kareler Yönteminin Karşılaştırılması

Rathert, Tülin Çiçek; Üçkardeş, Fatih; Narinç, Doğan; Aksoy, Tülin

doi:10.9775/kvfd.2010.3974

Cited by 3 publications

(2 citation statements)

References 1 publication

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“…Table 1 shows that it was necessary to investigate the MC problem. Similar findings have also been reported in a variety of studies on the internal and external quality characteristics of eggs, such as those by Özçelik (2002), Kul andŞeker (2004), Alkan et al (2010) and Rathert et al (2011).…”

Section: Discussionsupporting

confidence: 87%

Prediction of internal egg quality characteristics and variable selection using regularization methods: ridge, LASSO and elastic net

Çiftsüren

Akkol

2018

Arch. Anim. Breed.

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This study was conducted to determine the inner quality characteristics of eggs using external egg quality characteristics. The variables were selected in order to obtain the simplest model using ridge, LASSO and elastic net regularization methods. For this purpose, measurements of the internal and external characteristics of 117 Japanese quail eggs were made. Internal quality characteristics were egg yolk weight and albumen weight; external quality characteristics were egg width, egg length, egg weight, shape index and shell weight. An ordinary least square method was applied to the data. Ridge, LASSO and elastic net regularization methods were performed to remove the multicollinearity of the data. The regression estimating equations of the internal egg quality were significant for all methods (P < 0.01). The goodness of fit of the regression estimating equations for egg yolk weight was 58.34, 59.17 and 59.11 % for the ridge, LASSO and elastic net methods, respectively. For egg albumen weight the goodness of fit of the regression estimating equations was 75.60 %, 75.94 % and 75.81 % for the respective ridge, LASSO and elastic net methods. It was revealed that LASSO, including two predictors for both egg yolk weight and egg albumen weight, was the best model with regard to high predictive accuracy.

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Section: Discussionsupporting

confidence: 87%

Prediction of internal egg quality characteristics and variable selection using regularization methods: ridge, LASSO and elastic net

Çiftsüren

Akkol

2018

Arch. Anim. Breed.

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“…This is in line with the fact that the thickness of albumen is positively correlated with HU [34,35,36]. Furthermore, a previous study approved that there is a significant correlation between the weight of egg and albumin thickness of quail eggs [37]. However, inconsistent results of phytobiotics feed additive application in the animal nutrition in the previous studies are related to the species of plant, plant part, properties of the plant, parities genetic of the plant, plant age, dose rate, extraction procedures and harvest time [6].…”

Section: Resultssupporting

confidence: 77%

Effects of noni leaf (Morinda citrifolia) extract on performance and egg quality of laying quail (Coturnix coturnix japonica)

Hasanuddin,

Rusdi,

Mulyati

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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One hundred and sixty of laying quail, 12 weeks old, were randomly placed on five treatments and five replicates in eight birds per replicate. They were kept according to the standard management for seven weeks. The basal diet comprised mainly corn, rice bran, soybean, and was mixed at 20% of protein content. Phytobiotic source was the noni extract (MC). Experimental diets were basal diet only (MC0), a basal diet with 0.01% of MC (MC1), a basal diet with 0.02% of MC (MC2), a basal diet with 0.03% of MC (MC3) and a basal diet with 0.04% of MC (MC4). Experimental birds were having free access to the diets and drinking water. The variables were feed intake, daily egg production, feed conversion ratio (FCR), and quality of egg including egg weight, yolk index, albumin index, eggshell thickness and haught unit (HU). Data were analysed using ANOVA and the Duncan test for comparison. The results proved that noni leaf extract supplementation in the quail diet produced a non-significant effect on feed intake, daily egg production, and egg quality (P>0.05), but it improved the eggshell thickness by 4.75% (P<0.05) and elevated the value of HU by 6.5% and improved FCR (P>0.05). In conclusion that noni leaf extract (MC) may improve quail performance, and egg quality by elevating the thickness of the eggshell.

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Prediction of Inner Quality Characteristics of Eggs Using Partial Least Squares Regression

Akyürek

Akkol

2018

Yüzüncü Yıl Üniversitesi Tarım Bilimleri Dergisi

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Bu çalışma, yumurta dış kalite özellikleri kullanılarak iç kalite özellikleri olan yumurta ak ve sarı ağırlığı için bir tahmin modeli elde etmek amacıyla yapılmıştır. Bu amaçla, çalışmada kullanılan veri setine kısmi en küçük kareler regresyon yöntemi uygulanmış ve elde dilen sonuçlar temel bileşenler regresyon yöntemi ile karşılaştırılırmıştır. Yumurta ak ve sarı ağırlığı için kısmi en küçük kareler regresyon analizinde gizil faktör sayısı bir ve belirleme katsayıları sırasıyla % 68.44 ve % 63.40 olmuştur. Yumurta ak ve sarı ağırlığı için bir faktörlü temel bileşenler regresyonu için belirleme katsayısı sırasıyla % 63.40 ve %53.80 olarak elde edilmiştir. Temel bileşenler regresyonunda faktör sayısı için kısıtlama olmadığı durumda, yumurta ak ağırlığı için gizil faktör sayısı beş ve belirleme katsayısı % 79.77; yumurta sarı ağırlığı için bu değerler sırasıyla iki ve % 75.35 olmuştur. Elde edilen bu sonuçlar, boyut indirgeme konusunda kısmi en küçük kareler regresyon yönteminin temel bileşenler regresyon yönteminden daha etkin olduğunu ve çoklu bağlantıya sahip küçük örnek setlerinde daha güvenilir tahminler elde edilebileceğini ortaya koymuştur.

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Japon Bıldırcınlarında Yumurta İç Kalite Özelliklerinin Tahmin Edilmesinde Temel Bileşenler Regresyon Yöntemi İle En Küçük Kareler Yönteminin Karşılaştırılması

Cited by 3 publications

References 1 publication

Prediction of internal egg quality characteristics and variable selection using regularization methods: ridge, LASSO and elastic net

Prediction of internal egg quality characteristics and variable selection using regularization methods: ridge, LASSO and elastic net

Effects of noni leaf (Morinda citrifolia) extract on performance and egg quality of laying quail (Coturnix coturnix japonica)

Prediction of Inner Quality Characteristics of Eggs Using Partial Least Squares Regression

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