Assessing the accuracy of current near infra-red reflectance spectroscopy analysis for fresh grass-clover mixture silages and development of new equations for this purpose

Thomson, Anna; Humphries, D. J.; Rymer, C.; Archer, John; Grant, N.W.; Reynolds, C.K.

doi:10.1016/j.anifeedsci.2018.03.009

Cited by 14 publications

(13 citation statements)

References 30 publications

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“…The UoR experiment involved a total of thirty-six wether Texel x Mule sheep in an in vivo digestibility study that has been described previously. 30 In brief, ninety perennial ryegrass (PRG) and clover mixture silages with a range of clover concentrations from 40 to 1000 g/kg DM were each fed to three sheep in multiple 3x3 Latin Square designs with five day diet and faecal collection periods for determination of digestibility. Silages were obtained as large bales or chopped clamp material.…”

Section: Methodsmentioning

confidence: 99%

“…Diet and fecal samples for calibration development were obtained from two sheep feeding trials, the first at the University of Reading (UoR), U.K., and the second at the Agri-Food and Biosciences Institute for Northern Ireland (AFBI), U.K.. The UoR experiment involved a total of 36 wether Texel x Mule sheep in an in vivo digestibility study that has been described previously . In brief, 90 perennial ryegrass (PRG) and clover mixture silages with a range of clover concentrations from 40 to 1000 g/kg DM were each fed to three sheep in multiple 3 × 3 Latin Square designs with 5 day diet and fecal collection periods for determination of digestibility.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Prediction of Lignin Content in Ruminant Diets and Fecal Samples Using Rapid Analytical Techniques

Lyons

Carmichael

McRoberts

et al. 2018

J. Agric. Food Chem.

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The measurement of lignin content in ruminant diet and faecal samples is important for digestibility studies, but it is typically time consuming and costly. The work reported involved correlation of traditional wet chemistry data with that from three rapid instrumental techniques, Fourier Transform Infrared spectroscopy (FTIR), Conventional Thermogravimteric Analysis (TGA) and High Resolution TGA (MaxRes TGA) to predict lignin content of diets and faeces from digestibility trials. Calibration and performance data indicated that the FTIR model was acceptable for screening whilst the Conventional and MaxRes TGA predictions were of high accuracy for quantitative analysis. Cross validation and model performance data revealed that MaxRes TGA provided the best performing predictive model. This work showed that MaxRes TGA can accurately predict lignin content in ruminant diet and faecal samples with distinct advantages over traditional wet chemistry, namely the requirement for small sample size, ease of sample preparation, speed of analysis and high sample throughput at considerably lower cost.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Prediction of Lignin Content in Ruminant Diets and Fecal Samples Using Rapid Analytical Techniques

Lyons

Carmichael

McRoberts

et al. 2018

J. Agric. Food Chem.

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show abstract

“…Despite this, breakthroughs have been made with regard to NIRS analyses of fresh forage and grass using conventional NIR instruments. Thomson et al [80] investigated if a pre-existing fresh grass silage NIRS calibration could predict quality in grass/clover silage samples in the UK. The study found that some parameters such as DMD could be predicted with acceptable accuracy.…”

Section: Grass Quality Analysis By Means Of Near Infrared Spectroscopymentioning

confidence: 99%

A Review of Precision Technologies for Optimising Pasture Measurement on Irish Grassland

Murphy

O’Brien

et al. 2021

Agriculture

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The development of precision grass measurement technologies is of vital importance to securing the future sustainability of pasture-based livestock production systems. There is potential to increase grassland production in a sustainable manner by achieving a more precise measurement of pasture quantity and quality. This review presents an overview of the most recent seminal research pertaining to the development of precision grass measurement technologies. One of the main obstacles to precision grass measurement, sward heterogeneity, is discussed along with optimal sampling techniques to address this issue. The limitations of conventional grass measurement techniques are outlined and alternative new terrestrial, proximal, and remote sensing technologies are presented. The possibilities of automating grass measurement and reducing labour costs are hypothesised and the development of holistic online grassland management systems that may facilitate these goals are further outlined.

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“…Currently, the NIRS literature consists of hundreds of research articles related to forage near infrared (NIR) analysis. In the beginning these papers were done using dried and finely milled samples (Coelho et al, 1988;Decruyenaere et al, 2009), but later the research was extended to cover wet forages (Park et al, 1998;Sørensen, 2004;Thomson et al, 2018). However, in comparison, the NIRS scientific literature related to TMR is rather limited.…”

Section: Introductionmentioning

confidence: 99%

Transferring a large data library of fresh total mixed rations from a benchtop to 2 portable near-infrared spectrometers for on-farm real-time decisions

Pérez‐Marín

Roza-Delgado

Entrenas

et al. 2022

Journal of Dairy Science

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This study was carried out using a spectral database consisting of 394 samples of fresh total mixed ration (TMR) from dairy farms located at Northern Spain. Cloning sets of different size and structure were evaluated for the transfer of the large TMR spectral database obtained on a Foss NIRSystems monochromator to 2 different portable near-infrared devices: one diode array instrument and another based on linear variable filters. The cloning matrix that produced the best matching between instruments was then used to transfer the TMR spectral library to the 2 portable instruments. Once the database had been transferred, calibration equations were developed to compare the predictive ability of the equations obtained in the benchtop and portable instruments. In comparison with the monochromator predictive ability, the calibration equations developed with the near-infrared portable instruments displayed a high and similar accuracy for most of the studied parameters related to TMR composition, enabling their use for predicting TMR quality at the farm level.

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Assessing the accuracy of current near infra-red reflectance spectroscopy analysis for fresh grass-clover mixture silages and development of new equations for this purpose

Abstract: Assessing the accuracy of current near infrared reflectance spectroscopy analysis for fresh grassclover mixture silages and development of new equations for this purpose. Animal Feed Science and Technology, 239. pp. 94106.

Cited by 14 publications

References 30 publications

Prediction of Lignin Content in Ruminant Diets and Fecal Samples Using Rapid Analytical Techniques

Prediction of Lignin Content in Ruminant Diets and Fecal Samples Using Rapid Analytical Techniques

A Review of Precision Technologies for Optimising Pasture Measurement on Irish Grassland

Transferring a large data library of fresh total mixed rations from a benchtop to 2 portable near-infrared spectrometers for on-farm real-time decisions

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