123 related articles for article (PubMed ID: 22063031)
1. Ability of near infrared reflectance spectroscopy (NIRS) to estimate physical parameters of adult steers (oxen) and young cattle meat samples.
Prieto N; Andrés S; Giráldez FJ; Mantecón AR; Lavín P
Meat Sci; 2008 Aug; 79(4):692-9. PubMed ID: 22063031
[TBL] [Abstract][Full Text] [Related]
2. Potential use of near infrared reflectance spectroscopy (NIRS) for the estimation of chemical composition of oxen meat samples.
Prieto N; Andrés S; Giráldez FJ; Mantecón AR; Lavín P
Meat Sci; 2006 Nov; 74(3):487-96. PubMed ID: 22063053
[TBL] [Abstract][Full Text] [Related]
3. Discrimination of adult steers (oxen) and young cattle ground meat samples by near infrared reflectance spectroscopy (NIRS).
Prieto N; Andrés S; Giráldez FJ; Mantecón AR; Lavín P
Meat Sci; 2008 May; 79(1):198-201. PubMed ID: 22062613
[TBL] [Abstract][Full Text] [Related]
4. The use of visible and near infrared reflectance spectroscopy to predict beef M. longissimus thoracis et lumborum quality attributes.
Andrés S; Silva A; Soares-Pereira AL; Martins C; Bruno-Soares AM; Murray I
Meat Sci; 2008 Mar; 78(3):217-24. PubMed ID: 22062273
[TBL] [Abstract][Full Text] [Related]
5. On-line application of visible and near infrared reflectance spectroscopy to predict chemical-physical and sensory characteristics of beef quality.
Prieto N; Ross DW; Navajas EA; Nute GR; Richardson RI; Hyslop JJ; Simm G; Roehe R
Meat Sci; 2009 Sep; 83(1):96-103. PubMed ID: 20416617
[TBL] [Abstract][Full Text] [Related]
6. Prediction of technological and organoleptic properties of beef Longissimus thoracis from near-infrared reflectance and transmission spectra.
Leroy B; Lambotte S; Dotreppe O; Lecocq H; Istasse L; Clinquart A
Meat Sci; 2004 Jan; 66(1):45-54. PubMed ID: 22063930
[TBL] [Abstract][Full Text] [Related]
7. The relevance of different near infrared technologies and sample treatments for predicting meat quality traits in commercial beef cuts.
De Marchi M; Penasa M; Cecchinato A; Bittante G
Meat Sci; 2013 Feb; 93(2):329-35. PubMed ID: 23098602
[TBL] [Abstract][Full Text] [Related]
8. Prediction of pork quality attributes from near infrared reflectance spectra.
Geesink GH; Schreutelkamp FH; Frankhuizen R; Vedder HW; Faber NM; Kranen RW; Gerritzen MA
Meat Sci; 2003 Sep; 65(1):661-8. PubMed ID: 22063261
[TBL] [Abstract][Full Text] [Related]
9. Application of near infrared reflectance spectroscopy to predict meat and meat products quality: A review.
Prieto N; Roehe R; Lavín P; Batten G; Andrés S
Meat Sci; 2009 Oct; 83(2):175-86. PubMed ID: 20416766
[TBL] [Abstract][Full Text] [Related]
10. Prediction of meat quality traits in Nelore cattle by near-infrared reflectance spectroscopy.
Magalhães AFB; Teixeira GHA; Ríos ACH; Silva DBDS; Mota LFM; Muniz MMM; de Morais CLM; de Lima KMG; Cunha Júnior LC; Baldi F; Carvalheiro R; Oliveira HN; Chardulo LAL; Albuquerque LG
J Anim Sci; 2018 Sep; 96(10):4229-4237. PubMed ID: 30010881
[TBL] [Abstract][Full Text] [Related]
11. Near-infrared reflectance spectroscopy for predicting chemical, instrumental and sensory quality of beef.
Ripoll G; Albertí P; Panea B; Olleta JL; Sañudo C
Meat Sci; 2008 Nov; 80(3):697-702. PubMed ID: 22063585
[TBL] [Abstract][Full Text] [Related]
12. Genetic analysis of beef fatty acid composition predicted by near-infrared spectroscopy.
Cecchinato A; De Marchi M; Penasa M; Casellas J; Schiavon S; Bittante G
J Anim Sci; 2012 Feb; 90(2):429-38. PubMed ID: 21948610
[TBL] [Abstract][Full Text] [Related]
13. Prediction of pork quality with near infrared spectroscopy (NIRS): 1. Feasibility and robustness of NIRS measurements at laboratory scale.
Kapper C; Klont RE; Verdonk JM; Urlings HA
Meat Sci; 2012 Jul; 91(3):294-9. PubMed ID: 22410119
[TBL] [Abstract][Full Text] [Related]
14. Online prediction of fatty acid profiles in crossbred Limousin and Aberdeen Angus beef cattle using near infrared reflectance spectroscopy.
Prieto N; Ross DW; Navajas EA; Richardson RI; Hyslop JJ; Simm G; Roehe R
Animal; 2011 Jan; 5(1):155-65. PubMed ID: 22440714
[TBL] [Abstract][Full Text] [Related]
15. Near-infrared reflectance spectroscopy predictions as indicator traits in breeding programs for enhanced beef quality.
Cecchinato A; De Marchi M; Penasa M; Albera A; Bittante G
J Anim Sci; 2011 Sep; 89(9):2687-95. PubMed ID: 21454870
[TBL] [Abstract][Full Text] [Related]
16. Identification of cattle, llama and horse meat by near infrared reflectance or transflectance spectroscopy.
Mamani-Linares LW; Gallo C; Alomar D
Meat Sci; 2012 Feb; 90(2):378-85. PubMed ID: 21889854
[TBL] [Abstract][Full Text] [Related]
17. Temporal, biochemical and structural factors that influence beef quality measurement using near infrared spectroscopy.
Rosenvold K; Micklander E; Hansen PW; Burling-Claridge R; Challies M; Devine C; North M
Meat Sci; 2009 Jul; 82(3):379-88. PubMed ID: 20416706
[TBL] [Abstract][Full Text] [Related]
18. Prediction of wheat chemical and physical characteristics and nutritive value by near-infrared reflectance spectroscopy.
Owens B; McCann ME; McCracken KJ; Park RS
Br Poult Sci; 2009 Jan; 50(1):103-22. PubMed ID: 19234935
[TBL] [Abstract][Full Text] [Related]
19. On-line prediction of beef quality traits using near infrared spectroscopy.
De Marchi M
Meat Sci; 2013 Aug; 94(4):455-60. PubMed ID: 23618741
[TBL] [Abstract][Full Text] [Related]
20. Recovering value from beef carcasses classified as dark cutters by United States Department of Agriculture graders.
Bass PD; Scanga JA; Chapman PL; Smith GC; Tatum JD; Belk KE
J Anim Sci; 2008 Jul; 86(7):1658-68. PubMed ID: 18344305
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]