Comparison of NIRS and wet chemistry methods for the nutritional analysis of haylages for horses

PA Harris, S Nelson, HB Carslake, CMcG Argo, R Wolf, FB Fabri, KM Brolsma, MJ van Oostrum, AD Ellis

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Haylage (dry matter 51%–85%) is one of the most common forages fed to equids in Europe. The aim of this study was to assess the repeatability and reliability of the nutrient concentrations in haylage determined by either near-infrared spectroscopy (NIRS) or traditional Wet chemistry (WCh) methods in a single commercial laboratory. To assess this within methods, one single representative sample from one bale of haylage was split into 10 separate samples for analysis by both methods. A further 25 separate haylage bales from across the UK were subsampled at source (blind), and some further divided at the laboratory. In total, 52 haylage subsamples were analyzed using both NIRS and WCh, to measure organic matter, crude protein, ammonia (n = 34), crude fiber and fat (n = 45), acid detergent fiber, neutral detergent fiber, acid detergent lignin, and sugar content (g/kg dry matter). For the subsamples from one single sample (n = 10), apart from ammonia and sugar, the coefficient of variance (%cv) within each method was very low showing good reliability (mean %cv ± standard deviation: NIRS 3.4 ± 2.1; WCh 3.6 ± 2). Mean %cv was 15.4% versus 15.0% for sugar and 29% versus 4.6% for ammonia for NIRS and WCh, respectively. Between the WCh and NIRS methods, the analytical value for sugar could vary by up to 20%. Overall, there was a strong correlation between the analytical methods for all measures (R2 = 0.80–0.91, P < .001, Pearson correlation), with the weakest correlation being for fat and ammonia. The wide range of measures for what was designated as sugar in samples from the same original bale, regardless of the method used, requires further investigation.
Original languageEnglish
Pages (from-to)13 - 20
Number of pages8
JournalJournal of Equine Veterinary Science
Volume71
Early online date4 Sep 2018
DOIs
Publication statusFirst published - 4 Sep 2018

Fingerprint

haylage
near-infrared spectroscopy
chemistry
horses
ammonia
sugars
analytical methods
sampling
methodology
lipids
acid detergent fiber
crude fiber
detergents
neutral detergent fiber
sugar content
repeatability
lignin
nutrient content
crude protein
organic matter

Keywords

  • Forage analysis
  • Haylage
  • NIRS
  • Sugar
  • Wet chemistry

Cite this

Harris, PA ; Nelson, S ; Carslake, HB ; Argo, CMcG ; Wolf, R ; Fabri, FB ; Brolsma, KM ; van Oostrum, MJ ; Ellis, AD. / Comparison of NIRS and wet chemistry methods for the nutritional analysis of haylages for horses. In: Journal of Equine Veterinary Science. 2018 ; Vol. 71. pp. 13 - 20.
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abstract = "Haylage (dry matter 51{\%}–85{\%}) is one of the most common forages fed to equids in Europe. The aim of this study was to assess the repeatability and reliability of the nutrient concentrations in haylage determined by either near-infrared spectroscopy (NIRS) or traditional Wet chemistry (WCh) methods in a single commercial laboratory. To assess this within methods, one single representative sample from one bale of haylage was split into 10 separate samples for analysis by both methods. A further 25 separate haylage bales from across the UK were subsampled at source (blind), and some further divided at the laboratory. In total, 52 haylage subsamples were analyzed using both NIRS and WCh, to measure organic matter, crude protein, ammonia (n = 34), crude fiber and fat (n = 45), acid detergent fiber, neutral detergent fiber, acid detergent lignin, and sugar content (g/kg dry matter). For the subsamples from one single sample (n = 10), apart from ammonia and sugar, the coefficient of variance ({\%}cv) within each method was very low showing good reliability (mean {\%}cv ± standard deviation: NIRS 3.4 ± 2.1; WCh 3.6 ± 2). Mean {\%}cv was 15.4{\%} versus 15.0{\%} for sugar and 29{\%} versus 4.6{\%} for ammonia for NIRS and WCh, respectively. Between the WCh and NIRS methods, the analytical value for sugar could vary by up to 20{\%}. Overall, there was a strong correlation between the analytical methods for all measures (R2 = 0.80–0.91, P < .001, Pearson correlation), with the weakest correlation being for fat and ammonia. The wide range of measures for what was designated as sugar in samples from the same original bale, regardless of the method used, requires further investigation.",
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Harris, PA, Nelson, S, Carslake, HB, Argo, CM, Wolf, R, Fabri, FB, Brolsma, KM, van Oostrum, MJ & Ellis, AD 2018, 'Comparison of NIRS and wet chemistry methods for the nutritional analysis of haylages for horses', Journal of Equine Veterinary Science, vol. 71, pp. 13 - 20. https://doi.org/10.1016/j.jevs.2018.08.013

Comparison of NIRS and wet chemistry methods for the nutritional analysis of haylages for horses. / Harris, PA; Nelson, S; Carslake, HB; Argo, CMcG; Wolf, R; Fabri, FB; Brolsma, KM; van Oostrum, MJ; Ellis, AD.

In: Journal of Equine Veterinary Science, Vol. 71, 04.09.2018, p. 13 - 20.

Research output: Contribution to journalArticle

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T1 - Comparison of NIRS and wet chemistry methods for the nutritional analysis of haylages for horses

AU - Harris, PA

AU - Nelson, S

AU - Carslake, HB

AU - Argo, CMcG

AU - Wolf, R

AU - Fabri, FB

AU - Brolsma, KM

AU - van Oostrum, MJ

AU - Ellis, AD

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N2 - Haylage (dry matter 51%–85%) is one of the most common forages fed to equids in Europe. The aim of this study was to assess the repeatability and reliability of the nutrient concentrations in haylage determined by either near-infrared spectroscopy (NIRS) or traditional Wet chemistry (WCh) methods in a single commercial laboratory. To assess this within methods, one single representative sample from one bale of haylage was split into 10 separate samples for analysis by both methods. A further 25 separate haylage bales from across the UK were subsampled at source (blind), and some further divided at the laboratory. In total, 52 haylage subsamples were analyzed using both NIRS and WCh, to measure organic matter, crude protein, ammonia (n = 34), crude fiber and fat (n = 45), acid detergent fiber, neutral detergent fiber, acid detergent lignin, and sugar content (g/kg dry matter). For the subsamples from one single sample (n = 10), apart from ammonia and sugar, the coefficient of variance (%cv) within each method was very low showing good reliability (mean %cv ± standard deviation: NIRS 3.4 ± 2.1; WCh 3.6 ± 2). Mean %cv was 15.4% versus 15.0% for sugar and 29% versus 4.6% for ammonia for NIRS and WCh, respectively. Between the WCh and NIRS methods, the analytical value for sugar could vary by up to 20%. Overall, there was a strong correlation between the analytical methods for all measures (R2 = 0.80–0.91, P < .001, Pearson correlation), with the weakest correlation being for fat and ammonia. The wide range of measures for what was designated as sugar in samples from the same original bale, regardless of the method used, requires further investigation.

AB - Haylage (dry matter 51%–85%) is one of the most common forages fed to equids in Europe. The aim of this study was to assess the repeatability and reliability of the nutrient concentrations in haylage determined by either near-infrared spectroscopy (NIRS) or traditional Wet chemistry (WCh) methods in a single commercial laboratory. To assess this within methods, one single representative sample from one bale of haylage was split into 10 separate samples for analysis by both methods. A further 25 separate haylage bales from across the UK were subsampled at source (blind), and some further divided at the laboratory. In total, 52 haylage subsamples were analyzed using both NIRS and WCh, to measure organic matter, crude protein, ammonia (n = 34), crude fiber and fat (n = 45), acid detergent fiber, neutral detergent fiber, acid detergent lignin, and sugar content (g/kg dry matter). For the subsamples from one single sample (n = 10), apart from ammonia and sugar, the coefficient of variance (%cv) within each method was very low showing good reliability (mean %cv ± standard deviation: NIRS 3.4 ± 2.1; WCh 3.6 ± 2). Mean %cv was 15.4% versus 15.0% for sugar and 29% versus 4.6% for ammonia for NIRS and WCh, respectively. Between the WCh and NIRS methods, the analytical value for sugar could vary by up to 20%. Overall, there was a strong correlation between the analytical methods for all measures (R2 = 0.80–0.91, P < .001, Pearson correlation), with the weakest correlation being for fat and ammonia. The wide range of measures for what was designated as sugar in samples from the same original bale, regardless of the method used, requires further investigation.

KW - Forage analysis

KW - Haylage

KW - NIRS

KW - Sugar

KW - Wet chemistry

U2 - 10.1016/j.jevs.2018.08.013

DO - 10.1016/j.jevs.2018.08.013

M3 - Article

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JO - Journal of Equine Veterinary Science

JF - Journal of Equine Veterinary Science

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