Estimation of egg weight from some external and internal quality characteristics in quail by using various data mining algorithms

Author:

ÇELIK SENOL,SENGÜL TURGAY,INCI HAKAN,SÖÐGÜT BÜNYAMIN,SENGÜL A YUSUF,KUZU ÇIGDEM,AYASAN TUGAY

Abstract

The objective of this study was to compare the predictive performance of some data mining algorithmsimplemented in the estimation of egg weight (EW), some egg quality traits measurements in quail. These qualitytraits are albumen weight (AW), yolk weight (YW), specific weight (SW), albumen index (AI), albumen height(AH), yolk index (YI), shell weight (SHW), shell thickness (SHT), Haugh unit (HU) and shape index (SI). Forcomparing the predictive performance of these algorithms in Model, goodness of fit criteria such as coefficient ofdetermination (R2%), adjusted coefficient of determination (Adj. R2%), coefficient of variation (CV%), SD ratio,root mean square error (RMSE), relative approximation error (RAE), and Pearson correlation coefficient, betweenobserved and predicted values were calculated. The heaviest average EW of 13.516 g was obtained from thesubgroup of those having AW > 8 cm. The results showed that the analysis based on exhaustive CHAID might beuseful for further researches linked with characterization of quail egg better than those provided by CART andCHAID algorithms.

Publisher

Indian Council of Agricultural Research, Directorate of Knowledge Management in Agriculture

Subject

General Veterinary,Animal Science and Zoology

Reference43 articles.

1. Afolayan R A, Adeyinka I A and Lakpini C A M. 2006. The estimation of live weight from body measurements in Yankasa sheep. Czech Journal of Animal Science 51(8): 343–48.

2. Aksahan R. 2015. ‘Determination of body measurements influencing final live weight via regression tree method in some cattle breeds.’ MS Thesis. Graduate School of Natural and Applied Science, Selcuk University, Konya. p27.

3. Alasahan S and Copur Akpinar G. 2016. Hatching characteristics and growth performance of eggs with different egg shapes. Brazilian Journal Poultry Science 18(1): 1–8.

4. Alasahan S, Copur Akpinar G, Canogullari S and Baylan M. 2015. Determination of some external and internal quality traits of Japanese quail (Coturnix coturnix japonica) eggs on the basis of egg shell colour and spot colour. Eurasian Journal of Veterinary Science 31(4): 235–41.

5. Ali M, Eyduran E, Tariq M M, Tirink C, Abbas F, Bajwa M A, Baloch M H, Nizamani A H, Waheed A, Awan M A, Shah S H, Ahmad Z and Jan S. 2015. Comparison of artificial neural network and decision tree algorithms used for predicting live weight at post weaning period from some biometrical characteristics in Harnai sheep. Pakistan Journal of Zoology 47(6): 1579–85.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3