Prediction of Leaf:Stem Ratio in Grasses Using near Infrared Reflectance Spectroscopy

Smart, Alexander J.; Schacht, Walter H.; Pedersen, Jeffrey F.; Undersander, D. J.; Moser, Lowell E.

doi:10.2307/4003332

Cited by 29 publications

(22 citation statements)

References 11 publications

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“…Calibration models were developed for dry matter intake (g/day or g/kg LW 0.75 ), digestibility coefficients of DM (DMD), OM (OMD) and NDF (NDFD), lucerne consumed (% of the diet, g DM/day or g DM/ kg LW 0.75 ) and n-alkane concentrations in faeces, from faecal samples of pooled daily output (S1) and pooled spot samples (S2). To assess the prediction performance of NIR equations, the main statistics used were the standard error of calibration (SEC), the standard error of cross-validation (SECV), the determination coefficient in calibration (R 2 c) and the determination coefficient in cross-validation (R 2 cv) (e. g. Clark et al, 1995;Smart et al, 1998;Walker et al, 1998Walker et al, , 2007.…”

Section: Other Analytical Proceduresmentioning

confidence: 99%

Validation of the n-alkane and NIRS techniques to estimate intake, digestibility and diet composition in sheep fed mixed lucerne: ryegrass diets

et al. 2008

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Section: Other Analytical Proceduresmentioning

confidence: 99%

Validation of the n-alkane and NIRS techniques to estimate intake, digestibility and diet composition in sheep fed mixed lucerne: ryegrass diets

et al. 2008

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“…One possible solution to determining the composition of straw and chaff might be the use of near infrared reflectance spectroscopy. Smart et al (2004) found near infrared reflectance spectroscopy could explain 73 to 84% of the variation in the proportion of leaf to stem in several grasses. If this technology could be successfully applied to cereal straws and chaffs it would help quantify the wide variation in nutrient composition of straw and chaff associated with the proportion of morphological components in the residue.…”

Section: Nutrient Composition Of Straw and Chaffmentioning

confidence: 99%

Review: The composition and availability of straw and chaff from small grain cereals for beef cattle in western Canada

McCartney¹,

Block²,

Dubeski³

et al. 2006

Can. J. Anim. Sci.

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. 2006. Review: The composition and availability of straw and chaff from small grain cereals for beef cattle in western Canada. Can. J. Anim. Sci. 86: 443-455. Small cereal grain residues are heterogeneous feeds consisting of several botanical fractions: chaff, grain, leaf blade, leaf sheath, internode and node. These parts vary in composition, digestibility, resistance to comminution, intake potential and energy availability. Large differences in the nutritional quality of straw and chaff may occur from year to year and between locations due to effects of environmental conditions on botanical composition and cell anatomy. Stage of maturity, harvest method and weathering will influence composition and quality of the most nutritious parts of cereal residues, the leaf and chaff. In addition, cultivars and species differ in the proportion, anatomy and digestibility of botanical fractions. As a result, the quality of crop residues is highly variable with an economic value that is difficult to accurately assess.Cereal straw and chaff are of low economic value as they are low in nutritive value, where nutritive value is the product of nutrient intake, digestibility, and efficiency of use. However, due to availability, cereal crop residues have the potential to be a substantial feed resource for beef cows. Previous reviews have not focused on straw and chaff nutrition research relevant to use by beef cattle in western Canada. This review includes discussions on yield and nutritive value with a focus on identifying information deficiencies, including the lack of detailed production statistics for determining residue yields on a regional bases and the need for more detailed nutrient composition to update regional feed data bases for western Canada.

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“…Although leaf:stem ratio is an important measurement for making grazing-management decisions, determination of this ratio by hand separation of plant samples is time consuming and expensive (Smart et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

Predicting green leaf proportion in ungrazed kleingrass (Panicum coloratum L.) in the semiarid pampas region of Argentina

Ferri

Molas

2013

Chilean J. Agric. Res.

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Green leaf proportion is an important factor affecting nutritive value, ingestive behavior and forage intake. Determination of green leaf proportion by hand separation of plant samples is time consuming and expensive. The aim of this work was to establish whether a stable relationship exists between the proportion of green leaf blade and total mass of harvestable forage in ungrazed kleingrass (Panicum coloratum L.) cv. Verde. The study was carried out during four consecutive growing seasons in an established pasture of kleingrass. During two growing seasons, 90 kg N ha -1 was applied. Forage samples were collected at biweekly intervals and separated into leaf blades, stems (inclusive of leaf sheaths), and senescent material. Regression analysis indicated a consistent relationship (y = 0.70x -0.41 , R 2 = 0.84, P< 0.001, n = 180) between the proportion of green leaf blade and total mass of harvestable forage in ungrazed kleingrass, even under varying environmental conditions of rainfall and N availability. Thus, total harvestable forage might be used to predict the green leaf proportion of kleingrass in contrasting environments, and used as an easy-to-measure indicator of green leaf proportion that would permit a balance of forage quality and quantity in kleingrass.

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Prediction of Leaf:Stem Ratio in Grasses Using near Infrared Reflectance Spectroscopy

Cited by 29 publications

References 11 publications

Validation of the n-alkane and NIRS techniques to estimate intake, digestibility and diet composition in sheep fed mixed lucerne: ryegrass diets

Validation of the n-alkane and NIRS techniques to estimate intake, digestibility and diet composition in sheep fed mixed lucerne: ryegrass diets

Review: The composition and availability of straw and chaff from small grain cereals for beef cattle in western Canada

Predicting green leaf proportion in ungrazed kleingrass (Panicum coloratum L.) in the semiarid pampas region of Argentina

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