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Pubmed for Handhelds

PUBMED FOR HANDHELDS

Journal Abstract Search

159 related items for PubMed ID: 12083244

  • 21. [Prediction of protein content of intact wheat seeds with near infrared reflectance spectroscopy (NIRS)].
    Wang WD, Gu YH, Qin GY, Huo YP.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2007 Apr; 27(4):697-701. PubMed ID: 17608178
    [Abstract] [Full Text] [Related]

  • 22. Using NIRS to predict fiber and nutrient content of dryland cereal cultivars.
    Stubbs TL, Kennedy AC, Fortuna AM.
    J Agric Food Chem; 2010 Jan 13; 58(1):398-403. PubMed ID: 19961223
    [Abstract] [Full Text] [Related]

  • 23. [Feasibility of using near-infrared reflectance spectroscopy for the analysis of compositions of straw silage].
    Liu X, Han LJ.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2006 Nov 13; 26(11):2016-20. PubMed ID: 17260745
    [Abstract] [Full Text] [Related]

  • 24. Comparison of two in situ reference methods to estimate indigestible NDF by near infrared reflectance spectroscopy in alfalfa.
    Zhang GJ, Wang Y, Yan YH, Hall MH, Undersander DJ, Combs DK.
    Heliyon; 2021 Jun 13; 7(6):e07313. PubMed ID: 34189328
    [Abstract] [Full Text] [Related]

  • 25. Non-destructive determination of grass pea and pea flour adulteration in chickpea flour using near-infrared reflectance spectroscopy and chemometrics.
    Bala M, Sethi S, Sharma S, Mridula D, Kaur G.
    J Sci Food Agric; 2023 Feb 13; 103(3):1294-1302. PubMed ID: 36098480
    [Abstract] [Full Text] [Related]

  • 26. Near-infrared reflectance spectroscopy as a fast and non-destructive tool to predict foliar organic constituents of several woody species.
    Petisco C, García-Criado B, Mediavilla S, Vázquez de Aldana BR, Zabalgogeazcoa I, García-Ciudad A.
    Anal Bioanal Chem; 2006 Nov 13; 386(6):1823-33. PubMed ID: 17033768
    [Abstract] [Full Text] [Related]

  • 27. Chemical characteristics and mineral composition of quinoa by near-infrared spectroscopy.
    González Martín MI, Wells Moncada G, Fischer S, Escuredo O.
    J Sci Food Agric; 2014 Mar 30; 94(5):876-81. PubMed ID: 23904243
    [Abstract] [Full Text] [Related]

  • 28. Acid detergent fiber analysis in oilseed Brassicas by near-infrared spectroscopy.
    Font R, del Rio M, Fernández JM, de Haro A.
    J Agric Food Chem; 2003 May 07; 51(10):2917-22. PubMed ID: 12720371
    [Abstract] [Full Text] [Related]

  • 29. Development and validation of near-infrared spectroscopy for the prediction of forage quality parameters in Lolium multiflorum.
    Yang Z, Nie G, Pan L, Zhang Y, Huang L, Ma X, Zhang X.
    PeerJ; 2017 May 07; 5():e3867. PubMed ID: 29018608
    [Abstract] [Full Text] [Related]

  • 30. Feasibility of diode-array instruments to carry near-infrared spectroscopy from laboratory to feed process control.
    Fernández-Ahumada E, Garrido-Varo A, Guerrero-Ginel JE.
    J Agric Food Chem; 2008 May 14; 56(9):3185-92. PubMed ID: 18407654
    [Abstract] [Full Text] [Related]

  • 31. Handheld Near-Infrared Spectroscopy for Undried Forage Quality Estimation.
    Yamada W, Cherney J, Cherney D, Runge T, Digman M.
    Sensors (Basel); 2024 Aug 08; 24(16):. PubMed ID: 39204833
    [Abstract] [Full Text] [Related]

  • 32. [NIRS method for determination of meat and bone meal content in ruminant concentrates].
    Yang ZL, Han LJ, Li QF, Liu X.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2008 Jun 08; 28(6):1278-82. PubMed ID: 18800704
    [Abstract] [Full Text] [Related]

  • 33. Prediction of nutritive values in grass silages: I. Nutrient digestibility and energy concentrations using nutrient compositions and fermentation characteristics.
    Yan T, Agnew RE.
    J Anim Sci; 2004 May 08; 82(5):1367-79. PubMed ID: 15144077
    [Abstract] [Full Text] [Related]

  • 34. Nondestructive determination of oil content and fatty acid composition in perilla seeds by near-infrared spectroscopy.
    Kim KS, Park SH, Choung MG.
    J Agric Food Chem; 2007 Mar 07; 55(5):1679-85. PubMed ID: 17288449
    [Abstract] [Full Text] [Related]

  • 35. Nutritional evaluation of commercial dry dog foods by near infrared reflectance spectroscopy.
    Alomar D, Hodgkinson S, Abarzúa D, Fuchslocher R, Alvarado C, Rosales E.
    J Anim Physiol Anim Nutr (Berl); 2006 Jun 07; 90(5-6):223-9. PubMed ID: 16684143
    [Abstract] [Full Text] [Related]

  • 36. [Research on predicting the nutrition value of pelletized alfalfa by near infrared reflectance spectroscopy].
    Hua R, Han JG, Qi X, Nie ZD, Li B.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2008 Dec 07; 28(12):2826-9. PubMed ID: 19248492
    [Abstract] [Full Text] [Related]

  • 37. Hot topic: application of support vector machine method in prediction of alfalfa protein fractions by near infrared reflectance spectroscopy.
    Nie Z, Han J, Liu T, Liu X.
    J Dairy Sci; 2008 Jun 07; 91(6):2361-9. PubMed ID: 18487658
    [Abstract] [Full Text] [Related]

  • 38. [Rapid determination of fatty acids in soybeans [Glycine max (L.) Merr.] by FT-near-infrared reflectance spectroscopy].
    Sun JM, Han FX, Yan SR, Yang H, Tetsuo S.
    Guang Pu Xue Yu Guang Pu Fen Xi; 2008 Jun 07; 28(6):1290-5. PubMed ID: 18800707
    [Abstract] [Full Text] [Related]

  • 39. Use of near-infrared spectroscopy for determining the total arsenic content in prostrate amaranth.
    Font R, Del Río M, Vélez D, Montoro R, De Haro A.
    Sci Total Environ; 2004 Jul 05; 327(1-3):93-104. PubMed ID: 15172574
    [Abstract] [Full Text] [Related]

  • 40. Quantification of fatty acids in forages by near-infrared reflectance spectroscopy.
    Foster JG, Clapham WM, Fedders JM.
    J Agric Food Chem; 2006 May 03; 54(9):3186-92. PubMed ID: 16637670
    [Abstract] [Full Text] [Related]

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