Predicting Forage Quality by Infrared Replectance Spectroscopy

Norris, Karl H.; Barnes, R. F.; Moore, John E.; Shenk, J. S.

doi:10.2527/jas1976.434889x

Cited by 623 publications

(301 citation statements)

References 4 publications

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“…However, little has been published in the literature on the prediction of nutritional forage value by NIRS prediction of feed value of temperate forages NIRS, possibly because large databases with in vivo digestibility values conducted under standardized conditions are required. Useable relationships between NIRS optical data and in vivo nutritional values of fresh forages have been reported by Norris et al (1976), Robert et al (1986), Givens et al (1992) and more recently Decruyenaere et al (2009). SEP values obtained by these authors are similar to those obtained in our study with a higher number of samples and types of forages.…”

Section: Nir Spectral Regionssupporting

confidence: 90%

“…Comparing the values obtained in order to measure the spread of our database relative to others (Norris et al, 1976;Decruyenaere et al, 2009), we noted that our study showed similar or slightly larger variability for VI. We can consider that the spread of our database covers most of the variability for VI of temperate forages (Andrieu et al, 1989).…”

Section: Nir Spectral Regionssupporting

confidence: 63%

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NIRS prediction of the feed value of temperate forages: efficacy of four calibration strategies

Andueza

Picard

Jestin

et al. 2011

Animal

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Near infrared reflectance spectroscopy (NIRS) of 924 fresh temperate forages were used to develop calibration models for chemical composition -crude ash (CA) and crude protein (CP) -organic matter digestibility (OMD) and voluntary intake (VI). We used 110 samples to assess the models. Four calibration strategies for determining forage quality were compared: (i) speciesspecific calibration, (ii) family-specific calibration, (iii) a global procedure and (iv) a local approach. Forage calibration data sets displayed CA values ranging from 52 to 205 g/kg of dry matter (DM), CP values from 50 to 280 g/kg DM, OMD values from 0.48 to 0.85 g/g and VI values from 22.5 to 115.2 g DM/kg metabolic body weight (BW 0.75 ). The calibration models performed well for all the variables except for VI. For CA, local procedure showed lower standard error of prediction (SEP) than species-specific, family-specific or global models. For CP, the calibration models all showed similar SEP values (11.13, 11.08, 11.38 and 11.34 g/kg DM for species-specific, family-specific, global and local approaches). For OMD, the local procedure gave a similar SEP (0.024 g/g) to specific species and global procedures (0.027 g/g) and a lower SEP than the family-specific approach (0.028 g/g). For VI, the local approach and species-specific calibration showed lower SEP (7.08 and 7.16 g/kg BW 0.75 ) than the broad-based calibrations (8.09 and 8.34 g/kg BW 0.75 for family-specific model and global procedure, respectively). Local calibration may thus offer a practical way to develop robust universal equations for animal response determinations.Keywords: chemical composition, in vivo organic matter digestibility, voluntary intake, near infrared reflectance spectroscopy ImplicationsThis study evaluates the utility of different near infrared reflectance spectroscopy (NIRS) calibration methods for predicting the feed value of fresh forages. We compare an alternative local approach with the more classical global approach. The local approach conserves all the advantages of NIRS technology (rapidity, non-contaminant technology and precision) and takes into account the number of samples and their diversity when large database are available. It overcomes the main limitation of NIRS, which is that the samples for prediction have to be close to those of the calibration population. The local approach could improve prediction of the nutritional value of feeds, and thus have important economic and environmental implications for animal nutrition. IntroductionRuminant performance is closely related to the digestibility and intake of feedstuffs. In most countries, knowledge of the feed value of forages is based on in vivo measurements made in castrated male sheep (Demarquilly et al., 1995 for a review). However, the large-scale application of in vivo digestibility trials for evaluating forage feed value is an expensive and time-consuming process that requires large amounts of feeds. As knowing these values is essential for controlled animal feeding, several methods have been d...

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Section: Nir Spectral Regionssupporting

confidence: 90%

Section: Nir Spectral Regionssupporting

confidence: 63%

NIRS prediction of the feed value of temperate forages: efficacy of four calibration strategies

Andueza

Picard

Jestin

et al. 2011

Animal

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“…Norris et al, (1976) demonstrated that NIRS could also be used to estimate animal intake. The differences among C4 grasses species and cultivars, in addition to the effects of management practices on forage nutritive value, pose a challenge for commercial laboratories to develop calibration equations that can provide accurate results for a wide range of C4 grasses under different management.…”

Section: Methods To Estimate Digestibility Of C4 Grassesmentioning

confidence: 99%

Bahiagrass Tolerance to Aminocyclopyrachlor in Florida

et al. 2016

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Two varieties of bahiagrass were evaluated under Florida conditions for forage tolerance to the new herbicide, aminocyclopyrachlor (ACP), which is essential for product development decisions. Herbicide treatments included ACP alone at 70 and 140 g ai ha−1, ACP + chlorsulfuron at 69 + 27 and 138 + 54 g ai ha−1, ACP + 2,4-D amine at 70 + 532 g ai ha−1 and 140 + 1,064 g ai ha−1, ACP + triclopyr-amine at 70 + 140 g ai ha−1 and 140 + 280 g ai ha−1, and ACP + metsulfuron at 46 + 7, 78 + 12, and 168 + 26 g ai ha−1, and also included a nontreated check. ‘Argentine’ bahiagrass was the most tolerant forage species, and ‘Pensacola’ bahiagrass was sensitive to ACP + metsulfuron and initially to ACP + chlorsulfuron. Herbicide applications using ACP, when labeled, will likely provide good to excellent control of several weed species, with little long-term impact on bahiagrass forage production when the cultivar is known.

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“…Los métodos tradicionales de análisis del contenido en minerales por vía húmeda, como por ejemplo la espectrometría de absorción atómica (AAS), la espectrometría de emisión atómica de plasma acoplado inductivamente (ICP-AES), o la espectrometría de masas de plasma acoplado inductivamente (ICP-MS) son caros, lentos, agresivos con el medio ambiente y necesitan mano de obra especializada para su aplicación. Como alternativa a estos métodos, desde los últimos 40 años se viene utilizando la espectroscopía por reflectancia en el infrarrojo cercano (NIRS) para el análisis de una gran diversidad de componentes de la calidad en los alimentos, así como de otras sustancias de interés para la industria farmacéutica (Chavez et al, 2015), química (Feng, Wu, & Zeng, 2015;Foster, Kakani, Ge, & Mosali, 2013), alimentaria, incluyendo frutas y verduras (Font, Del Río-Celestino, Cartea, & De Haro-Bailón, 2005;Guo, Ni, & Kokot, 2016;Martínez, Font, Gómez, Blanco, & Del Río, 2014;Schmitt, Garrigues, & De La Guardia, 2014) y agrícola (Cozzolino, Fassio, & Fernández, 2003;De Haro et al, 2006;Dimov, Suprianto, Hermann, & Möllers, 2012;Murray, 1986;Norris, Barnes, Moore, & Shenk, 1976;Shenk & Westerhaus., 1993;Van Maarschalkerweerd & Husted, 2015).…”

Section: Introductionunclassified