Research Article
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Year 2020, Volume: 3 Issue: 1, 32 - 42, 01.01.2020

Abstract

References

  • Anonymous. 2018. Inframatic 9500 Grain and Flour Analyzer. Perten Instruments.
  • AOAC. 1990. Official methods of analysis. 15th ed. Association of Official Analytical Chemists; Arlington, VA, USA.
  • Black JL, Hughes RJ, Diffey S, Tredrea AM, Flinn PC, Spragg JC & Kim JC. 2014. Proceedings of the Australian Poultry Science Symposium 25.
  • Boover JL, Cottyn BG, Vanacker JM, Boucque Ch V. 1995. The use of NIRS to predict the chemical composition and energy value of compound feeds for cattle. Anim Feed SciTechnol, 51:243-253.
  • Cabassi G, Cavalli D, Fuccella R, Gallina PM. 2015. Evaluation of four NIR spectrometers in the analysis of cattle slurry. Biosyst Eng, 133: 1–13.
  • Chen L, Yang Z, Han L. 2013. A review on the use of near-ınfrared spectroscopy for analyzing feed protein materials. Applied Spectros Rev, 48(7): 509-522.
  • Cogdill RP, Hurburgh CR, RippkeGR Bajic SJ,Jones RW. 2004. Single-Kernel Maize analysis by near-infrared hyper spectral imaging. Agricultural and Biosystems Engineering Publications, Iowa State University, 47(1): 311- 320.
  • Davies AMC, Grant A. 1987. Review: Near-Infrared Analysis of Foods. Int J Food Sci Tech 22 (3): 191-207.
  • Deaville ER, Flinn PC. 2001. Near-infrared (NIR) Spectroscopy: An alternative approach for the estimation of forage quality and voluntary intake. CAB International, Reading, UK.
  • Dolores C, Pérez-Marín D, Garrido-Varo A, Guerrero-Ginel JE, Gómez-Cabrera A. 2004. Nearinfrared refl ectance spectroscopy (NIRS) for the mandatory labeling of compound feedingstuffs: chemical composition and open-declaration. Anim Feed Sci Tech, 116: 333-349.
  • Fontaine J, H¨orr J, Schirmer B. 2001. Near-infrared reflectance spectroscopy enables the fast and accurate prediction of the essential amino acid contents in soy, rapeseed meal, sunflower meal, peas, fishmeal, meat meal products, and poultry meal. J Agr Food Chem, 49(1): 57–66.
  • Galvez–Sola L, Moral R, Perez–Murcia MD, Perez-Espinosa A, Bustamante MA, Martinez–Sabater E, Paredes C. 2010. The potential of near infrared reflectance spectroscopy (NIRS) for the estimation of agroindustrial compost quality. Sci Total Environ, 408: 1414–1421.
  • Kryeziu A, Bakalli R, Kamberi M, Kastrati R, Mestani N. 2007. Comparison of commercial near-infrared reflectance spectroscopy (NIRS) calibrations and standard chemical assay procedures for prediction of crude protein levels in poultry feed ingredients. In Proceedings of the 16th European Symposium on Poultry Nutrition, Strasbourg, France. Hongdong L, Yizeng L, Qingsong X, Dongsheng C. 2009. Key wavelengths screening using competitive adaptive reweighted sampling method for multivariate calibration. Analytica Chimica Acta, 648: 77–84.
  • Mabood F, Jabeen F, Ahmed M, Hussain J, Mashaykhi S.A.A.Al, RubaieyZ. M.A.Al Farooq S, Boqué R, Ali L, Hussain Z, Al-Harrasi A, Khan A.L, Naureen N, Idrees M, Manzoor S. 2017. Development of new NIR-spectroscopy method combined with multivariate analysis for detection of adulteration in camel milk with goat milk. Food Chem, 221: 746-750.
  • Manley M, Downey G, Baeten V. 2008. Spectroscopic technique: Near-Infrared (NIR) spectroscopy. In: Modern techniques for food authentication. Da-Wen Sun 1st ed., Amsterdam; Boston: Elsevier/Academic Press, pp: 65-115.
  • MEGEP. 2016. Laboratuvar hizmetleri, Yemlerde Yağ ve Karbonhidrat analizleri. Milli Eğitim Bakanlığı Ankara.
  • Modroño S, Soldado A, Martínez-Fernández A, Roza-Delgado B. 2017. Handheld NIRS sensors for routine compound feed quality control: Real time analysis and field monitoring. Talanta, 162: 597-603.
  • Norimi AM, Abbas Z, Jusoh A, Ismail MA. 2012. Determination of Moisture Content of Maize Kernel (Zea mays L.) by Reflectance Measurement at Wavelengths 300nm to 800nm Using Optical Technique. PIERS Proceedings, Kuala Lumpur, Malaysia.
  • Prado N, Fernández-Ibáñez V, González P, Soldado A. 2010. On-site NIR spectroscopy to control the shelf life of pork meat. Food Anal Method, 4(4): 582–589.
  • Swart E, Brand TS, Engelbrecht J. 2012. The use of near infrared spectroscopy (NIRS) to predict the chemical composition of feed samples used in ostrich total mixed ration. South African JAnimSci, 42(5): 550-554.
  • Welle R, Greten W, Muller T, Weber G, Wehrmann H. 2005. Application of near infrared spectroscopy on-combine in corn grain breeding. J Near Infrared Spectro, 13: 69–76.
  • Williams PC, Sobering DC. 1996. How do we do it: a brief summary of the methods we use in developing near infrared calibrations. In: Davies AMC, Williams PC, editors. Near Infrared Spectroscopy: The Future Waves. Chichester, UK: NIR Publications, pp. 185-188.
  • Williams PC, Norris K. 2001. Near-Infrared technology in the agricultural and food industries. Second Edition. St. Paul, Minnesota, USA: American Association of Cereal Chemists, Inc.
  • Zamora-Rojas E, Pérez-Marín D, De Pedro-Sanz E, Guerrero-Ginel J.E, Garrido-Varo A. 2012. Handheld NIRS analysis for routine meat quality control: data base transfer from at-line instruments. Chemom Intell Lab, 114: 30–35.

Determination of Nutritive Value of Some Feedstuffs Used in Poultry Nutrition by Near Infrared Reflectance Spectroscopy (NIRS) and Chemical Methods

Year 2020, Volume: 3 Issue: 1, 32 - 42, 01.01.2020

Abstract

The aim of the experiment was to determine the chemical composition of some feed stuffs used for animal nutrition by chemical and near infrared reflectance spectroscopy (NIRS) methods and also find out the relationship between two methods. As materials, 14 different feedstuffs were used in the study. Although there were significant relationships (R2= 0.931, 0.990, 0.993, 0.990, 0.970, 0.980) between two methods in terms of the contents of moisture, crude protein, crude cellulose, crude fat, and starch and crude ash contents. Although comparison of feedstuffs that were analyzed in terms of ADF and NDF contents, the relationships (R2=0.329 and 0.339) were found insignificant. As a result, if calibration of NIRS was done accurately for analyzes and also NIRS needs more information in its library for more accurate/precise estimation of nutrition contents. Therefore, this study clearly showed that the chemical composition of diets used for poultry nutrition could be estimated readily and cheaply with the aid of NIRS.

References

  • Anonymous. 2018. Inframatic 9500 Grain and Flour Analyzer. Perten Instruments.
  • AOAC. 1990. Official methods of analysis. 15th ed. Association of Official Analytical Chemists; Arlington, VA, USA.
  • Black JL, Hughes RJ, Diffey S, Tredrea AM, Flinn PC, Spragg JC & Kim JC. 2014. Proceedings of the Australian Poultry Science Symposium 25.
  • Boover JL, Cottyn BG, Vanacker JM, Boucque Ch V. 1995. The use of NIRS to predict the chemical composition and energy value of compound feeds for cattle. Anim Feed SciTechnol, 51:243-253.
  • Cabassi G, Cavalli D, Fuccella R, Gallina PM. 2015. Evaluation of four NIR spectrometers in the analysis of cattle slurry. Biosyst Eng, 133: 1–13.
  • Chen L, Yang Z, Han L. 2013. A review on the use of near-ınfrared spectroscopy for analyzing feed protein materials. Applied Spectros Rev, 48(7): 509-522.
  • Cogdill RP, Hurburgh CR, RippkeGR Bajic SJ,Jones RW. 2004. Single-Kernel Maize analysis by near-infrared hyper spectral imaging. Agricultural and Biosystems Engineering Publications, Iowa State University, 47(1): 311- 320.
  • Davies AMC, Grant A. 1987. Review: Near-Infrared Analysis of Foods. Int J Food Sci Tech 22 (3): 191-207.
  • Deaville ER, Flinn PC. 2001. Near-infrared (NIR) Spectroscopy: An alternative approach for the estimation of forage quality and voluntary intake. CAB International, Reading, UK.
  • Dolores C, Pérez-Marín D, Garrido-Varo A, Guerrero-Ginel JE, Gómez-Cabrera A. 2004. Nearinfrared refl ectance spectroscopy (NIRS) for the mandatory labeling of compound feedingstuffs: chemical composition and open-declaration. Anim Feed Sci Tech, 116: 333-349.
  • Fontaine J, H¨orr J, Schirmer B. 2001. Near-infrared reflectance spectroscopy enables the fast and accurate prediction of the essential amino acid contents in soy, rapeseed meal, sunflower meal, peas, fishmeal, meat meal products, and poultry meal. J Agr Food Chem, 49(1): 57–66.
  • Galvez–Sola L, Moral R, Perez–Murcia MD, Perez-Espinosa A, Bustamante MA, Martinez–Sabater E, Paredes C. 2010. The potential of near infrared reflectance spectroscopy (NIRS) for the estimation of agroindustrial compost quality. Sci Total Environ, 408: 1414–1421.
  • Kryeziu A, Bakalli R, Kamberi M, Kastrati R, Mestani N. 2007. Comparison of commercial near-infrared reflectance spectroscopy (NIRS) calibrations and standard chemical assay procedures for prediction of crude protein levels in poultry feed ingredients. In Proceedings of the 16th European Symposium on Poultry Nutrition, Strasbourg, France. Hongdong L, Yizeng L, Qingsong X, Dongsheng C. 2009. Key wavelengths screening using competitive adaptive reweighted sampling method for multivariate calibration. Analytica Chimica Acta, 648: 77–84.
  • Mabood F, Jabeen F, Ahmed M, Hussain J, Mashaykhi S.A.A.Al, RubaieyZ. M.A.Al Farooq S, Boqué R, Ali L, Hussain Z, Al-Harrasi A, Khan A.L, Naureen N, Idrees M, Manzoor S. 2017. Development of new NIR-spectroscopy method combined with multivariate analysis for detection of adulteration in camel milk with goat milk. Food Chem, 221: 746-750.
  • Manley M, Downey G, Baeten V. 2008. Spectroscopic technique: Near-Infrared (NIR) spectroscopy. In: Modern techniques for food authentication. Da-Wen Sun 1st ed., Amsterdam; Boston: Elsevier/Academic Press, pp: 65-115.
  • MEGEP. 2016. Laboratuvar hizmetleri, Yemlerde Yağ ve Karbonhidrat analizleri. Milli Eğitim Bakanlığı Ankara.
  • Modroño S, Soldado A, Martínez-Fernández A, Roza-Delgado B. 2017. Handheld NIRS sensors for routine compound feed quality control: Real time analysis and field monitoring. Talanta, 162: 597-603.
  • Norimi AM, Abbas Z, Jusoh A, Ismail MA. 2012. Determination of Moisture Content of Maize Kernel (Zea mays L.) by Reflectance Measurement at Wavelengths 300nm to 800nm Using Optical Technique. PIERS Proceedings, Kuala Lumpur, Malaysia.
  • Prado N, Fernández-Ibáñez V, González P, Soldado A. 2010. On-site NIR spectroscopy to control the shelf life of pork meat. Food Anal Method, 4(4): 582–589.
  • Swart E, Brand TS, Engelbrecht J. 2012. The use of near infrared spectroscopy (NIRS) to predict the chemical composition of feed samples used in ostrich total mixed ration. South African JAnimSci, 42(5): 550-554.
  • Welle R, Greten W, Muller T, Weber G, Wehrmann H. 2005. Application of near infrared spectroscopy on-combine in corn grain breeding. J Near Infrared Spectro, 13: 69–76.
  • Williams PC, Sobering DC. 1996. How do we do it: a brief summary of the methods we use in developing near infrared calibrations. In: Davies AMC, Williams PC, editors. Near Infrared Spectroscopy: The Future Waves. Chichester, UK: NIR Publications, pp. 185-188.
  • Williams PC, Norris K. 2001. Near-Infrared technology in the agricultural and food industries. Second Edition. St. Paul, Minnesota, USA: American Association of Cereal Chemists, Inc.
  • Zamora-Rojas E, Pérez-Marín D, De Pedro-Sanz E, Guerrero-Ginel J.E, Garrido-Varo A. 2012. Handheld NIRS analysis for routine meat quality control: data base transfer from at-line instruments. Chemom Intell Lab, 114: 30–35.
There are 24 citations in total.

Details

Primary Language Turkish
Subjects Agricultural Engineering
Journal Section Research Articles
Authors

Mesut Karaman 0000-0001-6154-8940

Serhan Pehlivanoğlu This is me 0000-0001-6154-8940

Publication Date January 1, 2020
Submission Date August 7, 2019
Acceptance Date September 18, 2019
Published in Issue Year 2020 Volume: 3 Issue: 1

Cite

APA Karaman, M., & Pehlivanoğlu, S. (2020). Determination of Nutritive Value of Some Feedstuffs Used in Poultry Nutrition by Near Infrared Reflectance Spectroscopy (NIRS) and Chemical Methods. Black Sea Journal of Agriculture, 3(1), 32-42.

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