Using automated in-paddock weighing to evaluate the impact of intervals between liveweight measures on growth rate calculations in grazing beef cattle

Animal liveweight (LW) data collection is key to monitor health, nutrition, and reproduction of cattle. However, this is challenging in grazing systems using traditional technology due to the need of mustering animals into handling facilities with the required frequency. Such practical constraints m...

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Main Authors: Imaz, José Augusto, García, S.C., González, Luciano A.
Format: Artículo
Language:Inglés
Published: Elsevier 2020
Subjects:
Online Access:http://hdl.handle.net/20.500.12123/7815
https://www.sciencedirect.com/science/article/abs/pii/S0168169919323324
https://doi.org/10.1016/j.compag.2020.105729
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author Imaz, José Augusto
García, S.C.
González, Luciano A.
author_browse García, S.C.
González, Luciano A.
Imaz, José Augusto
author_facet Imaz, José Augusto
García, S.C.
González, Luciano A.
author_sort Imaz, José Augusto
collection INTA Digital
description Animal liveweight (LW) data collection is key to monitor health, nutrition, and reproduction of cattle. However, this is challenging in grazing systems using traditional technology due to the need of mustering animals into handling facilities with the required frequency. Such practical constraints make it difficult to gather frequent LW data to study the effects of different intervals between LW measures (ILW) to accurately describe the growth pattern of animals. However, nowadays, frequent LW data can be acquired remotely using in-paddock technologies without the need to handle the animals. Thus, the aim of this study was to quantify the impacts of ILW to capture LW and growth patterns of three beef cattle categories (calves, weaners, and cows). Liveweight data were collected using in-paddock walk-over-weighing scales (WOW), placed before the access to the water trough. The lengths of continuous LW data records were 112, 224 and 1460 days (4 years) for calves, weaners and mature cows, respectively. These datasets were then subsampled to simulate different ILW with one LW record every: (a) 1, 2, 4, 8 and 16 weeks for calves; (b) 1, 2, 4, 8, 16 and 32 weeks for weaners; and (c) 1, 2, 4, 8, 16, 26, 32, 52 (1 year) and 208 weeks (4 years) for cows. Daily LW change (LWC) was calculated as the difference between two consecutive LW observations divided by the number of days elapsed. The minimum (Min), mean, maximum (Max), standard deviation (STD) and coefficient of variation (CV) for LW and LWC were calculated for each animal and ILW. Minimum and Max LWC, and STD and CV of LW were affected (P < 0.05) by ILW in all animal categories whereas no effects (P > 0.05) were observed for the rest of the variables. The relationship between ILW and LW variability (STD, CV) was quadratic for calves and weaners but linear for cows (P < 0.05). In comparison to daily data, the minimum frequency required to capture Min and Max LWC was 2 weeks for calves and weaners, and 8 weeks for cows. In addition, an ILW of 4 (calves and weaners) and 8 (cows) weeks was needed to achieve similar STD and CV of LW and LWC compared to daily ILW. These results, obtained in grazing conditions, suggest that WOW could be used more strategically within and between farms, as LW data need to be captured at regular intervals but not necessarily daily.
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spelling INTA78152020-09-03T14:25:56Z Using automated in-paddock weighing to evaluate the impact of intervals between liveweight measures on growth rate calculations in grazing beef cattle Imaz, José Augusto García, S.C. González, Luciano A. Ganado Bovino Ganado de Carne Peso Corporal Pesada Índice de Crecimiento Cattle Beef Cattle Body Weight Weighing Growth Rate Grazing Pastoreo Liveweight Peso Vivo Animal liveweight (LW) data collection is key to monitor health, nutrition, and reproduction of cattle. However, this is challenging in grazing systems using traditional technology due to the need of mustering animals into handling facilities with the required frequency. Such practical constraints make it difficult to gather frequent LW data to study the effects of different intervals between LW measures (ILW) to accurately describe the growth pattern of animals. However, nowadays, frequent LW data can be acquired remotely using in-paddock technologies without the need to handle the animals. Thus, the aim of this study was to quantify the impacts of ILW to capture LW and growth patterns of three beef cattle categories (calves, weaners, and cows). Liveweight data were collected using in-paddock walk-over-weighing scales (WOW), placed before the access to the water trough. The lengths of continuous LW data records were 112, 224 and 1460 days (4 years) for calves, weaners and mature cows, respectively. These datasets were then subsampled to simulate different ILW with one LW record every: (a) 1, 2, 4, 8 and 16 weeks for calves; (b) 1, 2, 4, 8, 16 and 32 weeks for weaners; and (c) 1, 2, 4, 8, 16, 26, 32, 52 (1 year) and 208 weeks (4 years) for cows. Daily LW change (LWC) was calculated as the difference between two consecutive LW observations divided by the number of days elapsed. The minimum (Min), mean, maximum (Max), standard deviation (STD) and coefficient of variation (CV) for LW and LWC were calculated for each animal and ILW. Minimum and Max LWC, and STD and CV of LW were affected (P < 0.05) by ILW in all animal categories whereas no effects (P > 0.05) were observed for the rest of the variables. The relationship between ILW and LW variability (STD, CV) was quadratic for calves and weaners but linear for cows (P < 0.05). In comparison to daily data, the minimum frequency required to capture Min and Max LWC was 2 weeks for calves and weaners, and 8 weeks for cows. In addition, an ILW of 4 (calves and weaners) and 8 (cows) weeks was needed to achieve similar STD and CV of LW and LWC compared to daily ILW. These results, obtained in grazing conditions, suggest that WOW could be used more strategically within and between farms, as LW data need to be captured at regular intervals but not necessarily daily. Instituto de Investigación Animal del Chaco Semiárido Fil: Imaz, José Augusto. University of Sydney. Faculty of Agriculture and Environment. Centre for Carbon, Water & Food; Australia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Investigación Animal del Chaco Semiárido; Argentina Fil: García, S.C. University of Sydney. Faculty of Agriculture and Environment. Centre for Carbon, Water & Food; Australia. Fil: González, Luciano A. University of Sydney. Faculty of Agriculture and Environment. Centre for Carbon, Water & Food; Australia. 2020-09-03T14:20:48Z 2020-09-03T14:20:48Z 2020-11 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/7815 https://www.sciencedirect.com/science/article/abs/pii/S0168169919323324 0168-1699 https://doi.org/10.1016/j.compag.2020.105729 eng info:eu-repo/semantics/restrictedAccess application/pdf Elsevier Computers and Electronics in Agriculture 178 : 105729 (November 2020)
spellingShingle Ganado Bovino
Ganado de Carne
Peso Corporal
Pesada
Índice de Crecimiento
Cattle
Beef Cattle
Body Weight
Weighing
Growth Rate
Grazing
Pastoreo
Liveweight
Peso Vivo
Imaz, José Augusto
García, S.C.
González, Luciano A.
Using automated in-paddock weighing to evaluate the impact of intervals between liveweight measures on growth rate calculations in grazing beef cattle
title Using automated in-paddock weighing to evaluate the impact of intervals between liveweight measures on growth rate calculations in grazing beef cattle
title_full Using automated in-paddock weighing to evaluate the impact of intervals between liveweight measures on growth rate calculations in grazing beef cattle
title_fullStr Using automated in-paddock weighing to evaluate the impact of intervals between liveweight measures on growth rate calculations in grazing beef cattle
title_full_unstemmed Using automated in-paddock weighing to evaluate the impact of intervals between liveweight measures on growth rate calculations in grazing beef cattle
title_short Using automated in-paddock weighing to evaluate the impact of intervals between liveweight measures on growth rate calculations in grazing beef cattle
title_sort using automated in paddock weighing to evaluate the impact of intervals between liveweight measures on growth rate calculations in grazing beef cattle
topic Ganado Bovino
Ganado de Carne
Peso Corporal
Pesada
Índice de Crecimiento
Cattle
Beef Cattle
Body Weight
Weighing
Growth Rate
Grazing
Pastoreo
Liveweight
Peso Vivo
url http://hdl.handle.net/20.500.12123/7815
https://www.sciencedirect.com/science/article/abs/pii/S0168169919323324
https://doi.org/10.1016/j.compag.2020.105729
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