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resumen

Resumen
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 [ver mas...]
dc.contributor.authorImaz, José Augusto
dc.contributor.authorGarcía, S.C.
dc.contributor.authorGonzález, Luciano A.
dc.date.accessioned2020-09-03T14:20:48Z
dc.date.available2020-09-03T14:20:48Z
dc.date.issued2020-11
dc.identifier.issn0168-1699
dc.identifier.otherhttps://doi.org/10.1016/j.compag.2020.105729
dc.identifier.urihttp://hdl.handle.net/20.500.12123/7815
dc.identifier.urihttps://www.sciencedirect.com/science/article/abs/pii/S0168169919323324
dc.description.abstractAnimal 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.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherElsevieres_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.sourceComputers and Electronics in Agriculture 178 : 105729 (November 2020)es_AR
dc.subjectGanado Bovinoes_AR
dc.subjectCattleeng
dc.subjectGanado de Carnees_AR
dc.subjectBeef Cattleeng
dc.subjectPeso Corporales_AR
dc.subjectBody Weighteng
dc.subjectPesadaes_AR
dc.subjectWeighingeng
dc.subjectÍndice de Crecimientoes_AR
dc.subjectGrowth Rateeng
dc.subjectPastoreo
dc.subjectGrazingeng
dc.subject.otherLiveweighteng
dc.subject.otherPeso Vivoes_AR
dc.titleUsing automated in-paddock weighing to evaluate the impact of intervals between liveweight measures on growth rate calculations in grazing beef cattlees_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.description.origenInstituto de Investigación Animal del Chaco Semiáridoes_AR
dc.description.filFil: 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; Argentinaes_AR
dc.description.filFil: García, S.C. University of Sydney. Faculty of Agriculture and Environment. Centre for Carbon, Water & Food; Australia.es_AR
dc.description.filFil: González, Luciano A. University of Sydney. Faculty of Agriculture and Environment. Centre for Carbon, Water & Food; Australia.es_AR
dc.subtypecientifico


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