Faecal near-infrared reflectance spectroscopy (NIRS) compared with other techniques for estimating the in vivo digestibility and dry matter intake of lactating grazing dairy cows

Decruyenaere, Virginie; Froidmont, Éric; Bartiaux-Thill, Nicole; Buldgen, André; Stilmant, Didier

doi:10.1016/j.anifeedsci.2012.02.005

Cited by 23 publications

(12 citation statements)

References 29 publications

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“…Coates (1998) found that the SEcv for DM intake and digestible DM intake, per unit BW, depended on the crossvalidation procedure and was therefore not robust. Only one study, conducted with very homogeneous groups of confined ewes fed complete mixed diets (Decandia et al, 2007), obtained R 2 cv > 0.8, and Decruyenaere et al (2012) succeeded in developing an intake model for a very homogeneous grass sward in Belgium that used FNIRS, grass growth measurements and milk yield. Such a model is not relevant to beef cattle grazing highly heterogeneous rangelands of the east Mediterranean region.…”

Section: Discussionmentioning

confidence: 99%

Faecal near-IR spectroscopy to determine the nutritional value of diets consumed by beef cattle in east Mediterranean rangelands

Landau

Dvash

Roudman

et al. 2016

animal

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Rapid assessment of the nutritional quality of diets ingested by grazing animals is pivotal for successful cow-calf management in east Mediterranean rangelands, which receive unpredictable rainfall and are subject to hot-spells. Clipped vegetation samples are seldom representative of diets consumed, as cows locate and graze selectively. In contrast, faeces are easily sampled and their near-IR spectra contain information about nutrients and their utilization. However, a pre-requisite for successful faecal nearinfrared reflectance spectroscopy (FNIRS) is that the calibration database encompass the spectral variability of samples to be analyzed. Using confined beef cows in Northern and Southern Israel, we calibrated prediction equations based on individual pairs of known dietary attributes and the NIR spectra of associated faeces ( n = 125). Diets were composed of fresh-cut green fodder of monocots (wheat and barley), dicots (safflower and garden pea) and natural pasture collected at various phenological states over 2 consecutive years, and, optionally, supplements of barley grain and dried poultry litter. A total of 48 additional pairs of faeces and diets sourced from cows fed six complete mixed rations covering a wide range of energy and CP concentrations. Precision (linearity of calibration, R 2 cal, and of cross-validation, R 2 cv) and accuracy (standard error of cross-validation, SEcv) were criteria for calibration quality. The calibrations for dietary ash, CP, NDF and in vitro dry matter digestibility yielded R 2 cal values >0.87, R 2 cv of 0.81 to 0.89 and SEcv values of 16, 13, 39 and 31 g/kg dry matter, respectively. Equations for nutrient intake were of low quality, with the exception of CP. Evaluation of FNIRS predictions was carried out with grazing animals supplemented or not with poultry litter, and implementation of the method in one herd over 2 years is presented. The potential usefulness of equations was also established by calculating the Mahalanobis ( H) distance to the spectral centroid of a calibration population of 796 faecal samples collected throughout 2 years in four herds. Seasonal trends in pasture quality and responses to management practices were identified adequately and H < 3.0 for 98% of faecal samples collected. We conclude that the development of FNIRS equations with confined animals is not only unexpensive and ethically acceptable, but their predictions are also sufficiently accurate to monitor dietary composition (but not intake) of beef cattle in east Mediterranean rangelands.Keywords: nutrition, beef cattle, NIRS, monitoring, decision-making ImplicationsMarket globalization and climate changes threaten beef cattle grazing on east Mediterranean rangelands. Profitability requires adequate stocking rate and timely supplementation. Clipped samples of vegetation are seldom representative of the consumed diet. We present a methodology that obviates the need to obtain representative diet samples, based on the hypothesis that faeces contain ample information on diets consumed. We show ...

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Section: Discussionmentioning

confidence: 99%

Faecal near-IR spectroscopy to determine the nutritional value of diets consumed by beef cattle in east Mediterranean rangelands

Landau

Dvash

Roudman

et al. 2016

animal

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“…The difficulty in developing calibration equations is to collect a reference database that is as representative as possible for a given field data diversity. Thus, better calibration statistics are often obtained by increasing the size of reference data (Decruyenaere et al 2012). Williams (2004 concluded that the coefficient of determination should be higher than 0.8 and the standard error of cross-validation should be close to the standard error of calibration to ensure adequate reliability of the predictions.…”

Section: Introductionmentioning

confidence: 99%

Cow‐specific diet digestibility predictions based on near‐infrared reflectance spectroscopy scans of faecal samples

Mehtiö

Rinne

Nyholm

et al. 2015

J Animal Breeding Genetics

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This study was designed to obtain information on prediction of diet digestibility from near-infrared reflectance spectroscopy (NIRS) scans of faecal spot samples from dairy cows at different stages of lactation and to develop a faecal sampling protocol. NIRS was used to predict diet organic matter digestibility (OMD) and indigestible neutral detergent fibre content (iNDF) from faecal samples, and dry matter digestibility (DMD) using iNDF in feed and faecal samples as an internal marker. Acid-insoluble ash (AIA) as an internal digestibility marker was used as a reference method to evaluate the reliability of NIRS predictions. Feed and composite faecal samples were collected from 44 cows at approximately 50, 150 and 250 days in milk (DIM). The estimated standard deviation for cow-specific organic matter digestibility analysed by AIA was 12.3 g/kg, which is small considering that the average was 724 g/kg. The phenotypic correlation between direct faecal OMD prediction by NIRS and OMD by AIA over the lactation was 0.51. The low repeatability and small variability estimates for direct OMD predictions by NIRS were not accurate enough to quantify small differences in OMD between cows. In contrast to OMD, the repeatability estimates for DMD by iNDF and especially for direct faecal iNDF predictions were 0.32 and 0.46, respectively, indicating that developing of NIRS predictions for cow-specific digestibility is possible. A data subset of 20 cows with daily individual faecal samples was used to develop an on-farm sampling protocol. Based on the assessment of correlations between individual sample combinations and composite samples as well as repeatability estimates for individual sample combinations, we found that collecting up to three individual samples yields a representative composite sample. Collection of samples from all the cows of a herd every third month might be a good choice, because it would yield a better accuracy.

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“…• Een opkomende methodiek is het bepalen van grasopname door een NIRS analyse uit te voeren op melk-of mestmonsters (Decruyenaere et al, 2012). • Inzicht krijgen in de hoeveelheid bijvoeding voor de weideperiode om vervolgens groepen te maken met bijvoedingsniveau en zo in te schatten op basis van literatuur en expertkennis welke grasopname we verwachten:…”

Section: Methodieken Om Grasopname Te Metenunclassified

Verkenning betere berekening van opname vers gras in de KringloopWijzer

Klootwijk¹,

Haan

Philipsen³

et al. 2020

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Faecal near-infrared reflectance spectroscopy (NIRS) compared with other techniques for estimating the in vivo digestibility and dry matter intake of lactating grazing dairy cows

Cited by 23 publications

References 29 publications

Faecal near-IR spectroscopy to determine the nutritional value of diets consumed by beef cattle in east Mediterranean rangelands

Faecal near-IR spectroscopy to determine the nutritional value of diets consumed by beef cattle in east Mediterranean rangelands

Cow‐specific diet digestibility predictions based on near‐infrared reflectance spectroscopy scans of faecal samples

Verkenning betere berekening van opname vers gras in de KringloopWijzer

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