Neural network models for predicting early egg weight in broiler breeder hens
Author:
Publisher
Elsevier BV
Subject
Animal Science and Zoology
Link
http://academic.oup.com/japr/article-pdf/22/1/1/1992501/japoulres22-0001.pdf
Reference22 articles.
1. An evaluation of the protein and lysine requirement for broiler breeder hens;Harms;J. Appl. Poult. Res.,1992
2. Adding methionine and lysine to broiler breeder diets to lower feed costs;Harms;J. Appl. Poult. Res.,1998
3. Nutrition and broiler breeder performance: A review with emphasis on response to diet protein;Lopez;J. Appl. Poult. Res.,1994
4. Interrelationship of egg size, chick size, posthatching growth and hatchability;Wilson;World’s Poult. Sci. J.,1991
5. Narushin-Takma models as flexible alternatives for describing economic traits in broiler breeder flocks;Faridi;Poult. Sci.,2011
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1. Prediction of Egg Weight from External Egg Traits of Guinea Fowl Using Multiple Linear Regression and Regression Tree Methods;Brazilian Journal of Poultry Science;2021
2. Prediction and optimization of slaughter weight in meat-type quails using artificial neural network modeling;Poultry Science;2020-03
3. Predicting methionine and lysine contents in soybean meal and fish meal using a group method of data handling-type neural network;Spanish Journal of Agricultural Research;2015-02-04
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