Literature DB >> 23960109

Higher precision level at individual laying performance tests in noncage housing systems.

W Icken1, S Thurner, A Heinrich, A Kaiser, D Cavero, G Wendl, R Fries, M Schmutz, R Preisinger.   

Abstract

With the Weihenstephan funnel nest box, 12 laying hen flocks were tested for their individual laying performance, egg quality, and nesting behavior in a noncage environment. During the whole observation period of 8 yr, a transponder-based data recording system was continuously improved and resulted in a recording accuracy of 97%. At peak production, heritabilities for the number of eggs laid are in some flocks higher than expected. With improved data accuracy, heritability estimates on individual egg weights are more stable. Heritabilities for nesting behavior traits range between a low to moderate level, providing very useful information for laying hen selection to help improve traits that cannot be recorded in cages. Over the years, the benefits of the Weihenstephan funnel nest box for laying hen breeders have grown. This is due to higher data recording accuracies and extended testing capacities, which result in more reliable genetic parameters.

Mesh:

Year:  2013        PMID: 23960109     DOI: 10.3382/ps.2013-03119

Source DB:  PubMed          Journal:  Poult Sci        ISSN: 0032-5791            Impact factor:   3.352


  9 in total

1.  An IoT-Based Breeding Egg Identification and Coding System for Selection of High-Quality Breeding Geese.

Authors:  Yanjun Zhang; Yujie Ge; Tian Yang; Yangyang Guo; Jian Yang; Jiawen Han; Daoqing Gong; Hong Miao
Journal:  Animals (Basel)       Date:  2022-06-14       Impact factor: 3.231

2.  Preliminary evaluation of a nest usage sensor to detect double nest occupations of laying hens.

Authors:  Mauro Zaninelli; Annamaria Costa; Francesco Maria Tangorra; Luciana Rossi; Alessandro Agazzi; Giovanni Savoini
Journal:  Sensors (Basel)       Date:  2015-01-26       Impact factor: 3.576

3.  Development of a Machine Vision Method for the Monitoring of Laying Hens and Detection of Multiple Nest Occupations.

Authors:  Mauro Zaninelli; Veronica Redaelli; Fabio Luzi; Malcolm Mitchell; Valentino Bontempo; Donata Cattaneo; Vittorio Dell'Orto; Giovanni Savoini
Journal:  Sensors (Basel)       Date:  2018-01-05       Impact factor: 3.576

4.  An RFID-Based Smart Nest Box: An Experimental Study of Laying Performance and Behavior of Individual Hens.

Authors:  Ying-Ren Chien; Yu-Xian Chen
Journal:  Sensors (Basel)       Date:  2018-03-14       Impact factor: 3.576

5.  A Monitoring System for Laying Hens That Uses a Detection Sensor Based on Infrared Technology and Image Pattern Recognition.

Authors:  Mauro Zaninelli; Veronica Redaelli; Fabio Luzi; Valentino Bontempo; Vittorio Dell'Orto; Giovanni Savoini
Journal:  Sensors (Basel)       Date:  2017-05-24       Impact factor: 3.576

6.  First Results of a Detection Sensor for the Monitoring of Laying Hens Reared in a Commercial Organic Egg Production Farm Based on the Use of Infrared Technology.

Authors:  Mauro Zaninelli; Veronica Redaelli; Erica Tirloni; Cristian Bernardi; Vittorio Dell'Orto; Giovanni Savoini
Journal:  Sensors (Basel)       Date:  2016-10-21       Impact factor: 3.576

7.  Heritability of perching behavior and its genetic relationship with incidence of floor eggs in Rhode Island Red chickens.

Authors:  Anna Wolc; Petek Settar; Janet E Fulton; Jesus Arango; Kaylee Rowland; Danny Lubritz; Jack C M Dekkers
Journal:  Genet Sel Evol       Date:  2021-04-21       Impact factor: 4.297

Review 8.  Assessing Activity and Location of Individual Laying Hens in Large Groups Using Modern Technology.

Authors:  Janice M Siegford; John Berezowski; Subir K Biswas; Courtney L Daigle; Sabine G Gebhardt-Henrich; Carlos E Hernandez; Stefan Thurner; Michael J Toscano
Journal:  Animals (Basel)       Date:  2016-02-02       Impact factor: 2.752

9.  Early Onset of Laying and Bumblefoot Favor Keel Bone Fractures.

Authors:  Sabine G Gebhardt-Henrich; Ernst K F Fröhlich
Journal:  Animals (Basel)       Date:  2015-11-27       Impact factor: 2.752

  9 in total

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