Mathematical model of growth of two purelines of Padjadjaran female quail aged 0 to 6 weeks

Anang, Asep; Indrijani, Heni; Sujana, Endang

doi:10.14710/jitaa.42.2.66-71

Cited by 5 publications

(6 citation statements)

References 7 publications

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“…Similarly, Narinc et al (2010) (R 2 : 0,99998; AIC: -2,010; BIC: -2,172) determined the Gompertz is the best for Japanese quails. Also, Anang et al (2017) determined Gompertz model (R 2 : 0,9988 for black, R 2 : 0,9991 for brown) is the best fit for black and brown plumage colored Padjadjaran quails. In constrat, in some studies Weibull model (R 2 : 0,999; MSE: 318,54; AIC: 4717,067) (Raji et (Yavuz et al 2019) were determined as the best model for Japanese quails.…”

Section: Discussionmentioning

confidence: 83%

“…Similar to current study results, Narinc et al (2014) found 233,12 and Uckardes and Narinç (2014) found the parameter β 0 as 242,10. In constrat, with same model Anang et al (2017) were determined that parameter 164.47 for black, 213,43 for brown; Grieser et al (2018) 167,5 for yellow; 179,6 for red plumage colored quails. On the other hand, Santos et al (2018) found the parameter β 0 for meat and laying type Japanese quails as 305 and 159, respectively.…”

Section: Discussionmentioning

confidence: 93%

“…Previous studies on growth curve traits in quails mostly focused on the gender (Kaplan et al 2016, Gürcan and Kaplan 2017, Kaplan and Gürcan 2018, Santos et al 2018, Yavuz et al 2019. In contrast, studies on the effect of plumage color, which is origined from genetic structure, on the growth curve are limited (Yılmaz et al 2011, Anang et al 2017, Dash et al 2018, Grieser et al 2018. This study was conducted to determine growth curve traits of brown and yellow (Jumbo) plumage colored quails and to evaluate the best fit curve among the four growth models.…”

Section: Introductionmentioning

confidence: 99%

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Comparison of growth curves with non-linear models in Japanese quails of different plumage color

Güler¹,

ARSLAN>²,

Sari³

et al. 2023

EurasianJVetSci

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Amaç: Bu çalışmada kahverengi ve sarı tüy renkli Japon bıldırcınlarında büyüme eğrisi parametrelerinin tahmini ve en uyumlu modelin tespit edilmesi amaçlanmıştır. Gereç ve Yöntem: Araştırma materyali olarak 80 adet kahverengi ve 80 adet sarı tüy renkli Japon bıldırcını kullanılmıştır. Bıldırcınlar 0, 7, 14, 21, 28, 35 ve 42 günlük yaşlarda tartılmıştır. Büyüme eğrilerini belirlemek için Gompertz, Logistic, Von Bertalanffy ve Richards modelleri kullanılmıştır. Bulgular: Uyum iyiliği açısından Gompertz modeli kahverengi ve sarı tüy renkli Japon bıldırcınları için en iyi model olarak tespit edilmiştir. Belirleme katsayısı (R2), düzeltilmiş belirleme katsayısı (R2adj), Akaike Bilgi Kriteri (AIC), Bayesian Bilgi kriteri (BIC) ve hata kareler ortalaması (HKO) kahverengi ve sarı tüy renkli bıldırcınlarda sırasıyla 0,9968; 0,9952; 24,8801; 24,7179 ve 25,9657; 0,9975; 0,9963; 22,9149; 22,7527 ve 19,6099 olarak tespit edilmiştir. Modele ait β0, β1 veβ2 parametreleri kahverengi ve sarı tüy renkli bıldırcınlar için sırasıyla 234,89; 3,630; 0,072 & 236,58; 3,516 ve 0,069 bulunmuştur. Bükülme noktası yaşı ve bükülme noktasındaki canlı ağırlık ise sırasıyla 17,91 gün ve 86,41 g; 18,15 gün ve 87,03 g olarak hesaplanmıştır. Öneri: Sonuç olarak, bu çalışmada hem kahverengi hem de sarı tüy renkli Japon bıldırcınlarında Gompertz modeli en iyi model olarak belirlenmiştir. Farklı tüy renklerindeki Japon bıldırcınlarının büyüme eğrisi özelliklerinin belirlenmesinde sonraki araştırmalarda kullanılması önerilebilir. Öte yandan, Japon bıldırcınlarının bir alt türü olan Jumbo bıldırcın yetiştiriciliği, kahverengi tüy renkli Japon bıldırcınlarının yanı sıra yüksek erginleşme indeksi nedeniyle bıldırcın eti üretiminde dikkate alınmalıdır.

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Section: Discussionmentioning

confidence: 83%

Section: Discussionmentioning

confidence: 93%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Comparison of growth curves with non-linear models in Japanese quails of different plumage color

Güler¹,

ARSLAN>²,

Sari³

et al. 2023

EurasianJVetSci

View full text Add to dashboard Cite

show abstract

“…This result is in agreement with the present study. Anang et al (2017) performed Gompertz, Logistic, Richards, and MMF model for describing the growth of black and brown Japanese quail lines. Although the Gompertz model is the most suitable model, other models showed similar results.…”

Section: Resultsmentioning

confidence: 99%

The Use of Some Nonlinear Functions to Explain Growth in Japanese Quails with Multivariate Adaptive Regression Splines Algorithm

Tirink

Alkan

Arıcı

2022

Turkish JAF Sci.Tech.

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The study aimed was to determine the best nonlinear function describing the growth stages of the Japanese quail breed. To this aim, growth functions such as exponential, logistic, von Bertalanffy, Brody, and Gompertz were used as nonlinear functions is used in the description of the body weight-age relationship of male and female Japanese quails. The Multivariate Adaptive Regression Splines (MARS) data mining algorithm was applied to the individual growth parameters obtained from the determined as the best fit model, and the relationship between sex and growth parameters with it has been revealed. The study dataset was 1267 body weight-age records collected from the hatching to the 6th week of age of 181 Japanese quails consisting of 90 females and 91 males. Each model was applied separately for both males and females. Model fit criteria such as coefficient of determination (R2), adjusted coefficient of determination (R2adj), Akaike's information criterion (AIC), and Bayes information criterion (BIC) were used to evaluate the performances of the growth functions used individually. All the statistical analyses were made by the R package program. The growth curve models were ranked in the form of Logistic > Gompertz > von Bertalanffy > Brody > Exponential according to the goodness of fit criteria. The most suitable model among the non-linear models in terms of performance was logistic. When the relationship between the growth curve parameters and body weight of the logistic model was explained with the MARS algorithm, the goodness of fit criteria showed that the obtained MARS model showed reliable performance. In addition, Pearson’s correlation coefficient between real and estimated body weight was found quite strong for the MARS algorithm (r=0.935). The results showed that the MARS algorithm can be presented as a good reference for breeders to establish breed standards and selection strategies for Japanese quails in growth parameters for breeding purposes.

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“…The four main growth components are increased muscle weight consisting of proteins and water, increased skeleton size, increased total body fat in adipose tissue, and increased hair, skin, and internal organs. Quail growth is strongly influenced by genetics and the aim of each breeder's selection process, whether for an egg, meat, or both [19].…”

Section: B Body Weight Gainmentioning

confidence: 99%

The Growth Performance, Heterosis Value, and Crossbreeding of Selected Japanese Broiler and Malon Quail

Sujana¹,

Anang²,

Setiawan³

et al. 2021

Int. J. Adv. Sci. Eng. Inf. Technol.

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This research aims to address the scarcity of broiler quail chicks with relatively large bodyweight. The present study that involved crossbreeding is expected to produce quality broiler DOQ with relatively large body weight, high efficiency, and adaptability. The crossbreeding between two different strains is often used in a production system to utilize hybrid (heterosis). This study aims to determine the growth performance and heterosis value of selected Japanese broiler quail and crossbreeding. The experiment distributed 480-day-old quails (DOQ) to four treatments and six replicates (20 DOQ each) in a Completely Randomized Design. The treatments included selected Japanese quail ♂ x selected Japanese quail ♀ (JJ), Malon♂ x Malon♀ (MM), Malon♂ x selected Japanese♀ (MJ), and selected Japanese ♂ (JM) x Malon♀. The statistical analysis employed SAS's PROC GLM (General Linear Model) for Duncan's test. The observed changes were feed intake, body weight gain, feed conversion, and heterosis effect. This study found significant differences in feed intake, body weight gain, and feed conversion across treatments. The best performance was observed in the Malonx selected Japan (MJ) crossbreeding with a high weight gain (246.737 grams) and the lowest feed conversion (2,87) and feed (707.93 g).

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Mathematical model of growth of two purelines of Padjadjaran female quail aged 0 to 6 weeks

Cited by 5 publications

References 7 publications

Comparison of growth curves with non-linear models in Japanese quails of different plumage color

Comparison of growth curves with non-linear models in Japanese quails of different plumage color

The Use of Some Nonlinear Functions to Explain Growth in Japanese Quails with Multivariate Adaptive Regression Splines Algorithm

The Growth Performance, Heterosis Value, and Crossbreeding of Selected Japanese Broiler and Malon Quail

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