Analysis of Some Important Forage Quality Attributes of Southeastern Wildrye (<i>Elymus glabriflorus</i>) Using Near-Infrared Reflectance Spectroscopy — Oak Academic Publishing
Research ArticleOpen AccessGoogle Scholar indexed
Analysis of Some Important Forage Quality Attributes of Southeastern Wildrye (<i>Elymus glabriflorus</i>) Using Near-Infrared Reflectance Spectroscopy
Coastal Plain Branch Experiment Station, Mississippi State University, Newton, MS, USA
,
Agricultural and Environmental Services Labs, University of Georgia, Athens, GA, USA
,
Department of Plant and Soil Sciences, Mississippi State University, Starkville, MS, USA
,
Agricultural and Environmental Services Labs, University of Georgia, Athens, GA, USA
,
Department of Plant and Soil Sciences, Mississippi State University, Starkville, MS, USA
1 Coastal Plain Branch Experiment Station, Mississippi State University, Newton, MS, USA
2 Agricultural and Environmental Services Labs, University of Georgia, Athens, GA, USA
3 Department of Plant and Soil Sciences, Mississippi State University, Starkville, MS, USA
4 Agricultural and Environmental Services Labs, University of Georgia, Athens, GA, USA
5 Department of Plant and Soil Sciences, Mississippi State University, Starkville, MS, USA
Southeastern wildrye ( Elymus glabriflorus, Vasey ex L.H. Dewey) is a cool-season, perennial grass native to southeastern United States. Recently, there is a growing interest in its development as a grazing and haying forage crop due to its wide area of adaptation across this region. Consequently, there is a great need for the evaluation of its forage quality by rapid, but accurate analytical methods like Near-Infrared Reflectance Spectroscopy (NIRS). In this study, acceptable NIRS calibration models were developed for: dry matter, DM (n = 113, R 2 = 0.904, RSCD = 2.54, RSCIQ = 4.65); crude protein, CP (n = 113, R 2 = 0.974, RSCD = 5.16, RSCIQ = 5.92); acid detergent fiber, ADF (n = 116, R 2 = 0.896, RSCD = 2.35, RSCIQ = 1.28); neutral detergent fiber, NDF (n = 118, R 2 = 0.934, RSCD = 2.53, RSCIQ = 3.38); digestible dry matter, DDM (n = 116, R 2 = 0.895, RSCD = 2.36, RSCIQ = 1.35); dry matter intake, DMI (n = 115, R 2 = 0.924, RSCD = 2.40, RSCIQ = 2.53); and relative feed value, RFV (n = 114, R 2 = 0.932, RSCD = 2.94, RSCIQ = 2.81). Prediction of independent validation sets yielded good agreement between the NIRS predicted values and the laboratory reference values for each of: DM (n = 53, R 2 = 0.831, RPD = 2.45, RPIQ = 4.24); CP (n = 57, R 2 = 0.967, RPD = 5.37, RPIQ = 7.16); ADF (n = 49, R 2 = 0.895, RPD = 2.97, RPIQ = 1.51); NDF (n = 53, R 2 = 0.928, RPD = 3.75, RPIQ = 4.22); digestible dry matter, DDM (n = 55, R 2 = 0.860, RSCD = 265, RSCIQ = 1.15); dry matter intake, DMI (n = 156, R 2 = 0.845, RSCD = 2.48, RSCIQ = 2.11); and relative feed value, RFV (n = 55, R 2 = 0.916, RSCD = 3.45, RSCIQ = 3.04) contents, indicating that all seven calibration models had good quantitative information. Therefore, precise, accurate, and rapid analysis of these important forage quality attributes of southeastern wildrye can be routinely done using the developed NIRS calibration models.
Belt, S., Rushing, B. and Tangren, S. (2013) Plant Guide for Southeastern Wildrye (Elymus glabriflorus). USDA-Natural Resources Conservation Service, Norman A. Berg National Plant Materials Center, Beltsville.
Barkworth, M.E., Campbell, J.J.N. and Salomon, B. (2006) Elymus L. In: Flora North America Editorial Committee, Eds., Flora of North America North of Mexico, Vol. 24: Magnoliophyta: Commelinidae (In Part) Poaceae, Part 1, Oxford University Press, New York, 288-343. http://floranorthamerica.org/volumes
Rushing, J.B. (2012) Evaluation of Wildrye (Elymus spp.) as a Potential Forage and Conservation Planting for the Southeastern United States. Mississippi State University Library, Starkvegas.
Koshi, P.T., Stubbendieck, J., Eck, H.V. and McCully, W.G. (1982) Switchgrass: Forage Yield, Forage Quality and Water-Use Efficiency. Journal of Range Management, 35, 623-627. http://dx.doi.org/10.2307/3898651
Mott, G.O. and Moore, J.E. (1969) Forage Evaluation Techniques in Perspective. Proceedings of the National Conference on Forage Quality Evaluation and Utilization, Nebraska Center for Continuing Education, Lincoln, 3-4 September 1969, L1-L7.
Lestander, T.A. and Christofer, R. (2005) Multivariate NIR Spectroscopy Models for Moisture, Ash and Calorific Content in Biofuels Using Bi-Orthogonal Partial Least Squares Regression. Analyst, 130, 1182-1189. http://dx.doi.org/10.1039/b500103j
Werther, J., Saenger, M., Hartge, E.U., Ogada, T. and Siagi, Z. (2000) Combustion of Agricultural Residues. Progress in Energy and Combustion Science, 26, 1-27. http://dx.doi.org/10.1016/S0360-1285(99)00005-2
Lestander, T.A., Johnsson, B. and Grothage, M. (2009) NIR Techniques Create Added Values for the Pellet and Biofuel Industry. Bioresource Technology, 100, 1589-1594. http://dx.doi.org/10.1016/j.biortech.2008.08.001
Holechek, J.L., Shenk, J.S., Vavra, M. and Arthun, D. (1982) Prediction of Forage Quality Using near Infrared Reflectance Spectroscopy on Esophageal Fistula Samples from Cattle on Mountain Range. Journal of Animal Science, 55, 971-975. http://dx.doi.org/10.2527/jas1982.554971x
Shenk, J.S. and Westerhaus, M.O. (1994) The Application of near Infrared Reflectance Spectroscopy (NIRS) to Forage Analysis. In: Fahey Jr., G.C., Ed., Forage Quality, Evaluation and Utilization, Soil Science Society of America/American Society of Agronomy/Crop Science Society of America, Madison, 406-449.
Showers, S. (1997) Prediction of Diet Quality Parameters of Whitetailed Deer via near Infrared Reflectance Spectroscopy (NIRS) Fecal Profiling. MSc Thesis, Texas A&M University, College Station.
Wheeler, R.A., Chaney, W.R., Johnson, K.D. and Butler, L.G. (1996) Leucaena Forage Analysis Using near Infrared Reflectance Spectroscopy. Animal Feed Science and Technology, 64, 1-9. http://dx.doi.org/10.1016/S0377-8401(96)01047-4
Volesky, J.D. and Coleman, S.W. (1996) Estimation of Botanical Composition of Esophageal Extrusa Samples Using near Infrared Reflectance Spectroscopy. Journal of Range Management, 49, 163-166. http://dx.doi.org/10.2307/4002688
Mitchell, R., Fritz, J., Moore, K., Moser, L., Vogel, K., Redfearn, D. and Wester, D. (2001) Predicting Forage Quality in Switchgrass and Big Bluestem. Agronomy Journal, 93, 118-124. http://dx.doi.org/10.2134/agronj2001.931118x
Daniel Alomar, D., Fuchslocher, R., Cuevas, J., Mardones, R. and Cuevas, E. (2009) Prediction of the Composition of Fresh Pastures by Near Infrared Reflectance of Interractance-Reflectance Spectroscopy. Chilean Journal of Agricultural Research, 69, 198-206. http://dx.doi.org/10.4067/S0718-58392009000200009
Andueza, D., Picard, F., Jestin, M., Andrieu, J. and Baumont, R. (2011) NIRS Prediction of the Feed Value of Temperate Forages: Efficacy of Four Calibration Strategies. Animal, 5, 1002-2013. http://dx.doi.org/10.1017/S1751731110002697
Asekova, S., Han, S.I., Choi, H.J., Park, S.J., Shin, D.H., Kwon, C.H., Shannon, J.G. and Lee, J.D. (2016) Determination of Forage Quality by Near-Infrared Reflectance Spectroscopy in Soybean. Turkish Journal of Agriculture and Forestry, 40, 45-52. http://dx.doi.org/10.3906/tar-1407-33
Windham, W.R., Fales, S.L. and Hoveland, C.S. (1988) Analysis for Tannin Concentration in Sericea Lespedeza by near IR Reflectance Spectroscopy. Crop Science, 28, 705-708. http://dx.doi.org/10.2135/cropsci1988.0011183X002800040031x
Roberts, C.A., Beuselinck, P.R., Elersieck, M.R., Davis, D.K. and McGraw, R.L. (1993) Quantification of Tannins in Birdsfoot Trefoil Germplasm. Crop Science, 33, 675-679. http://dx.doi.org/10.2135/cropsci1993.0011183X003300040005x
Goodchild, A.V., El Haramein, F.J., Abd El Moneim, A., Makkar, H.P.S. and Williams, P.C. (1998) Prediction of Phenolics and Tannins in Forage Legumes by Near Infrared Reflectance. Journal of Near Infrared Spectroscopy, 6, 175-181. http://dx.doi.org/10.1255/jnirs.134
Vogel, K.P., Dien, B.S., Jung, H.G., Casler, M.D., Masterson, S.D. and Mitchell, R.B. (2010) Quantifying Actual and Theoretical Ethanol Yields for Switchgrass Strains Using NIRS Analyses. Bioenergy Research, 4, 96-110. http://dx.doi.org/10.1007/s12155-010-9104-4
AOAC (1996) Moisture in Animal Feed, Method 930.15. 16th Edition, Official Methods of Analysis of AOAC International, Gaithersburg.
AOAC (1990) Protein (Crude) Determination in Animal Feed: Copper Catalyst Kjeldahl Method 984.13. 15th Edition, Official Methods of Analysis of AOAC International, Gaithersburg.
Goering, H.K. and Van Soest, P.J. (1970) Forage Fiber Analysis: Apparatus, Reagents, Pocedures and some Applications. USDA-ARS Agricultural Handbook 379, Washington DC.
Van Soest, P.J., Robertson, J.B. and Lewis, B.A. (1991) Methods for Dietary Fiber, Neutral Detergent Fiber, and Non-Starch Polysaccharides in Relation to Animal Nutrition. Journal of Dairy Science, 74, 3583-3597. http://dx.doi.org/10.3168/jds.S0022-0302(91)78551-2
Jeranyama, P. and Garcia, A.D. (2004) Understanding Relative Feed Value (RFV) and Relative Forage Quality (RFQ). SDSU Extension Extra, Paper 352. http://openprairie.sdstate.edu/extension_extra/352
Shenk, J.S. and Westerhaus, M.O. (1995) Analysis of Agriculture and Food Products by Near Infrared Reflectance Spectroscopy, Monograph. NIR Systems, Silver Spring.
Shenk, J.S. and Westerhaus, M.O. (1991) Population Definition, Sample Selection and Calibration Procedures for Near Infrared Reflectance Spectroscopy. Crop Science, 31, 469-474. http://dx.doi.org/10.2135/cropsci1991.0011183X003100020049x
Windham, W.R., Mertens, D.R. and Barton, F.E. (1989) Protocol for NIRS Calibration: Sample Selection and Equation Development and Validation. In: Marten, G.C., Ed., Near Infrared Reflectance Spectroscopy (NIRS): Analysis of Forage Quality, USDA Agricultural Handbook, Washington DC, 643.
Barnes, R.J., Dhanoa, M.S. and Lister, S.J. (1989) Standard Normal Variate Transformation and De-Trending of Near-Infrared Diffuse Reflectance Spectra. Applied Spectroscopy, 43, 772-777. http://dx.doi.org/10.1366/0003702894202201
Shenk, J.S. and Westerhaus, M.O. (1991) Population Structuring of near Infrared Spectra and Modified Partial Least Squares Regression. Crop Science, 31, 1548-1555. http://dx.doi.org/10.2135/cropsci1991.0011183X003100060034x
Kim, K.S., Park, S.H. and Choung, M.G. (2007) Nondestructive Determination of Oil Content and Fatty Acid Composition in Perilla Seeds by Near-Infrared Spectroscopy. Journal of Agriculture and Food Chemistry, 55, 1679-1685. http://dx.doi.org/10.1021/jf0631070
Shenk, J.S. and Westerhaus, M.O. (1996) Calibration the ISI Way. In: Davis, A.M.C. and Williams, P., Eds., Near Infrared Spectroscopy: The Future Waves, NIR Publications, Chichester, 198-202.
Chang, C.W., Laird, D.A., Mausbach, M.A. and Hurburgh Jr., C.R. (2001) Near-Infrared Reflectance Spectroscopy-Principal Components Regression Analyses of Soil Properties. Soil Science Society America Journal, 65, 480-490. http://dx.doi.org/10.2136/sssaj2001.652480x
Reeves, J.B. (2001) Near-Infrared Diffuse Reflectance Spectroscopy for the Analysis of Poultry Manures. Journal of Agriculture and Food Chemistry, 49, 2193-2197. http://dx.doi.org/10.1021/jf0013961
Mowrer, J., Kissel, D., Cabrera, M. and Hassan, S. (2014) Near-Infrared Calibrations for Organic, Inorganic, and Mineralized Nitrogen from Poultry Litter. Soil Science Society America Journal, 78, 1775-1785. http://dx.doi.org/10.2136/sssaj2013.12.0532
Bellon-Maurel, V., Fernandez-Ahumada, E., Roger, B.P.J.M. and McBratney, A. (2010) Critical Review of Chemometric Indicators Commonly Used for Assessing the Quality of the Prediction of Soil Attributes by NIR Spectroscopy. Trends in Analytical Chemistry, 29, 1073-1081. http://dx.doi.org/10.1016/j.trac.2010.05.006
Williams, P.C. and Sobering, D.C. (1996) How Do We Do It: A Brief Summary of the Methods We Use in Developing near Infrared Calibration. In: Davis, A.M.C. and Williams, P., Eds., Near Infrared Spectroscopy: The Future Waves, NIR Publications, Chichester, 185-188.
Osborne, B.G., Fearn, T. and Hindle, P.H. (1993) Practical NIR Spectroscopy with Applications in Food and Beverage Analysis. Longman Scientific and Technical, Harlow.
Workman Jr., J. and Weyer, L. (2012) Practical Guide and Spectral Atlas for Interpretive Near-Infrared Spectroscopy. CRC Press, Boca Raton, 326. http://dx.doi.org/10.1201/b11894
Kim, K.S., Park, S.H. and Choung, M.G. (2006) Nondestructive Determination of Lignans and Lignan Glycosides in Sesame Seeds by near Infrared Reflectance Spectroscopy. Journal of Agriculture and Food Chemistry, 54, 4544-4550. http://dx.doi.org/10.1021/jf0605603
Sato, T., Maw, A.A. and Katsuta, M. (2003) NIR Reflectance Spectroscopic Analysis of the FA Composition in Sesame (Sesamum indicum L.) Seeds. Journal of the American Oil Chemists’ Society, 80, 1157-1162. http://dx.doi.org/10.1007/s11746-003-0835-5
Everard, C.D., McDonnell, K.P. and Fagan, C.C. (2012) Prediction of Biomass Gross Calorific Values Using Visible and near Infrared Spectroscopy. Biomass and Bioenergy, 45, 203-209. http://dx.doi.org/10.1016/j.biombioe.2012.06.007
Hancock, D.W., Saha, U., Stewart Jr., R.L., Bernard, J.K., Smith III, R.C. and Johnson, J.M. (2014) Understanding and Improving Forage Quality. University of Georgia Extension Bulletin 1425.