Evaluating the accuracy – labour trade-off between alternative grassland monitoring methods by rising plate meters

Abstract Production efficiency of pasture-based livestock production systems is primarily driven by the level of pasture utilisation, and, as such, regular monitoring of herbage mass (HM) provides essential information to assist on-farm decision making. Unfortunately, this practice is seldom carried out on commercial farms, likely due to the time commitment required across the entire grass-growing season. Recent studies have shown, however, that even moderately inaccurate HM data can improve the system-side profitability compared to enterprises with no data, warranting further investigations into the trade-off between the accuracy and cost associated with HM measurements. Using a weekly multi-paddock dataset from the North Wyke Farm Platform research site in Devon, UK, this study evaluated the technical validity and labour-saving potential of a simplified ‘pasture walk’ protocol for rising plate meters, under which only data along the diagonal transect – rather than the industry-standard W-shaped pathways – of the paddock are collected. Across 234 temporal-paddock combinations, the mean absolute difference in HM estimates between diagonal and W-transects was 106 kg DM/ha, a scale far too small to alter sward or animal management. The presented statistical analysis, together with a supplementary spatial simulation experiment, supported the generality of the findings across the full grass-growing season. With a 51.2% reduction in labour time (1.2 min/ha rather than 2.5 min/ha) across paddocks of various sizes and shapes, the proposed method is likely to facilitate uptake of evidence-based grazing management amongst farmers who currently do not quantify HM at all.

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Publication Details

Journal
The Journal of Agricultural Science
Published
2025-09-25
DOI
https://doi.org/10.1017/s0021859625100282
Primary Topic
Soil Mechanics and Vehicle Dynamics
Type
article
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article

Evaluating the accuracy – labour trade-off between alternative grassland monitoring methods by rising plate meters

Paul Harris, Michael RF Lee, Andy Jones, Taro Takahashi
The Journal of Agricultural Science
Soil Mechanics and Vehicle Dynamics
article

Evaluating the accuracy – labour trade-off between alternative grassland monitoring methods by rising plate meters

Paul Harris, Michael RF Lee, Andy Jones, Taro Takahashi
article en

Abstract

Abstract Production efficiency of pasture-based livestock production systems is primarily driven by the level of pasture utilisation, and, as such, regular monitoring of herbage mass (HM) provides essential information to assist on-farm decision making. Unfortunately, this practice is seldom carried out on commercial farms, likely due to the time commitment required across the entire grass-growing season. Recent studies have shown, however, that even moderately inaccurate HM data can improve the system-side profitability compared to enterprises with no data, warranting further investigations into the trade-off between the accuracy and cost associated with HM measurements. Using a weekly multi-paddock dataset from the North Wyke Farm Platform research site in Devon, UK, this study evaluated the technical validity and labour-saving potential of a simplified ‘pasture walk’ protocol for rising plate meters, under which only data along the diagonal transect – rather than the industry-standard W-shaped pathways – of the paddock are collected. Across 234 temporal-paddock combinations, the mean absolute difference in HM estimates between diagonal and W-transects was 106 kg DM/ha, a scale far too small to alter sward or animal management. The presented statistical analysis, together with a supplementary spatial simulation experiment, supported the generality of the findings across the full grass-growing season. With a 51.2% reduction in labour time (1.2 min/ha rather than 2.5 min/ha) across paddocks of various sizes and shapes, the proposed method is likely to facilitate uptake of evidence-based grazing management amongst farmers who currently do not quantify HM at all.

The Journal of Agricultural ScienceVol. 163(6)
Rothamsted Research (GB), University of Bristol (GB), Agri Food and Biosciences Institute (GB), Harper Adams University (GB)
Openalex Percentile: Top 72%
Soil Mechanics and Vehicle Dynamics
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