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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Grass and Forage Sci...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Grass and Forage Science
Article . 2025 . Peer-reviewed
License: Wiley Online Library User Agreement
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Calibrating and Validating the Use of Rising Plate Meter to Estimate Herbage Mass in Multispecies Swards

Authors: Shona Baker; Israel Ikoyi; Helen Sheridan; John A. Finn; Jane Shackleton; Cornelia Grace; Guylain Grange; +1 Authors

Calibrating and Validating the Use of Rising Plate Meter to Estimate Herbage Mass in Multispecies Swards

Abstract

ABSTRACT Grazing management critically depends on practical, efficient, and parsimonious methods for estimating herbage mass to enable prompt decision‐making under diverse pasture conditions. This study evaluated the rising plate meter (RPM) as a rapid, non‐destructive tool for herbage mass estimation in multispecies swards (MSS) compared to perennial ryegrass (PRG) and PRG–white clover (PRGWC) swards. Five field trials at three Irish sites produced a dataset of 1220 observations (herbage mass range per harvest: 310–3991 kg DM ha −1 ). Five calibration models were developed and compared: Model 1 used a fixed multiplier approach (herbage height [HH] × 250); Model 2 included HH; Model 3 incorporated HH and sward type; Model 4 included HH and season and Model 5 incorporated HH, season and sward type along with their interaction. Model 5 achieved the highest statistical performance with the lowest root mean square error (RMSE; 244 kg DM ha −1 ), highest coefficient of determination ( R 2 ; 0.81) and lowest AIC value demonstrating the theoretical benefit of including seasonal and sward‐specific effects. However, Model 1, while slightly less accurate (RMSE = 277 kg DM ha −1 ; R 2 = 0.75), performed robustly despite its greater parsimony and ease of use. For routine on‐farm decision‐making, the marginal improvements provided by Model 5 may not justify its added complexity. These results suggest that the simple RPM calibration equations can provide herbage mass estimation in MSS that are no less effective than those used in PRG and PRGWC systems.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average
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