Literature DB >> 21854916

Automatic recording of daily walkover liveweight of dairy cattle at pasture in the first 100 days in milk.

J I Alawneh1, M A Stevenson, N B Williamson, N Lopez-Villalobos, T Otley.   

Abstract

Daily walkover liveweight (WoLW) records (n=79,697) from 463 pasture-fed dairy cows from a single dairy herd in the lower North Island of New Zealand were recorded over the first 100 d of lactation. The aims of this study were to (1) describe LW records retrieved by a standalone automatic Wo daily weighing system; (2) describe the frequency and nature of outlier LW records measured by the system and develop an approach for excluding identified outlier LW records; (3) quantify the agreement between cow LW measured using the Wo system and those measured statically; and (4) describe the autocorrelation between daily LW measurements to provide an indication of how frequently management decisions need to be reviewed to effectively monitor cow LW change in the early-lactation period. The standard deviation of daily LW measurements across parities was 17 kg, on average. A near perfect association between LW measured statically and WoLW (concordance correlation coefficient 0.99, 95% CI 0.99-1.0) was observed. After controlling for the effect of LW at calving and long-term LW change using a mixed-effects linear regression model, the autocorrelation between WoLW recorded on successive days was 0.21, decaying to zero by 8 d. This study shows that by using a standalone automatic Wo weighing system positioned in the exit race of a rotary milking parlor, it was possible to record LW of individual cows on a daily basis and, with controlled cow flow over the weighing platform (allowing for sufficient succession distance to prevent congestion), results were similar to those recorded using conventional, static weighing techniques using the same scales. Based on the autocorrelation analyses, we recommend that LW are recorded on a daily basis to allow changes in physiological status such as the onset of acute illness or estrus to be detected. For managerial purposes, such as using LW change as a guide for adjusting the herd feeding program, we recommend a 7-d decision interval to effectively monitor significant changes in cows' recorded daily LW measurements.
Copyright © 2011 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21854916     DOI: 10.3168/jds.2010-4002

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  5 in total

1.  Accuracy of image analysis for linear zoometric measurements in dromedary camels.

Authors:  Djalel Eddine Gherissi; Ramzi Lamraoui; Faycel Chacha; Semir Bechir Suheil Gaouar
Journal:  Trop Anim Health Prod       Date:  2022-07-20       Impact factor: 1.893

2.  Analysis of residual feed intake in Nellore bulls of different ages, rib eye area, and backfat thickness.

Authors:  Matheus Henrique Vargas de Oliveira; Jessica Moraes Malheiros; Alejandra Maria Toro Ospina; Pablo Dominguez-Castaño; Lorena Ferreira Benfica; Luiz Eduardo Cruz Dos Santos Correia; Leila de Genova Gaya; Maria Eugênia Zerlotti Mercadante; André Michel de Castilhos; Joslaine Noely Dos Santos Gonçalves Cyrillo; Jéssica Biasotto Sartori; Lúcia Galvão de Albuquerque; Josineudson Augusto Ii de Vasconcelos Silva
Journal:  Trop Anim Health Prod       Date:  2022-09-14       Impact factor: 1.893

3.  Analysis of the Factors Influencing Body Weight Variation in Hanwoo Steers Using an Automated Weighing System.

Authors:  Hyunjin Cho; Seoyoung Jeon; Mingyung Lee; Kyewon Kang; Hamin Kang; Eunkyu Park; Minkook Kim; Seokman Hong; Seongwon Seo
Journal:  Animals (Basel)       Date:  2020-07-25       Impact factor: 2.752

Review 4.  Challenges and Tendencies of Automatic Milking Systems (AMS): A 20-Years Systematic Review of Literature and Patents.

Authors:  Alessia Cogato; Marta Brščić; Hao Guo; Francesco Marinello; Andrea Pezzuolo
Journal:  Animals (Basel)       Date:  2021-01-31       Impact factor: 2.752

5.  Validation of Dairy Cow Bodyweight Prediction Using Traits Easily Recorded by Dairy Herd Improvement Organizations and Its Potential Improvement Using Feature Selection Algorithms.

Authors:  Anthony Tedde; Clément Grelet; Phuong N Ho; Jennie E Pryce; Dagnachew Hailemariam; Zhiquan Wang; Graham Plastow; Nicolas Gengler; Yves Brostaux; Eric Froidmont; Frédéric Dehareng; Carlo Bertozzi; Mark A Crowe; Isabelle Dufrasne; Hélène Soyeurt
Journal:  Animals (Basel)       Date:  2021-04-30       Impact factor: 2.752

  5 in total

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