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Items: 1 to 20 of 86

1.

Effect of the sampling device on fat and protein variation in cow milk samples obtained for official milk recording.

Fouz R, Yus E, Sanjuán ML, Diéguez FJ.

J Dairy Sci. 2009 Oct;92(10):4914-8. doi: 10.3168/jds.2009-2074.

PMID:
19762807
2.

Milking-to-milking variability for milk yield, fat and protein percentage, and somatic cell count.

Quist MA, LeBlanc SJ, Hand KJ, Lazenby D, Miglior F, Kelton DF.

J Dairy Sci. 2008 Sep;91(9):3412-23. doi: 10.3168/jds.2007-0184.

PMID:
18765600
3.
4.

Field validation of a milk-line sampling device for monitoring milk component data.

Godden S, Bey R, Reneau J, Farnsworth R, LaValle M.

J Dairy Sci. 2002 Sep;85(9):2192-6.

PMID:
12362451
5.

Accuracy of simplified sampling procedures for estimating milk composition in dairy ewes.

Othmane MH, Angel Fuertes J, Gonzalo C, De La Fuente LF, Primitivo FS.

J Dairy Res. 2006 Feb;73(1):109-14.

PMID:
16433969
6.

Genetic parameters of milking frequency and milk production traits in Canadian Holsteins milked by an automated milking system.

Nixon M, Bohmanova J, Jamrozik J, Schaeffer LR, Hand K, Miglior F.

J Dairy Sci. 2009 Jul;92(7):3422-30. doi: 10.3168/jds.2008-1689.

PMID:
19528620
7.

Evaluation of low cost in-line milk samplers for estimating individual cow somatic cell counts.

Clarke T, Andrews SP, Moate PJ, Pollino CA, Schmidt WL.

J Dairy Res. 1997 Feb;64(1):13-22.

PMID:
9120072
8.

Effect of cattle management practices on raw milk quality on farms operating in a two-stage dairy chain.

Sraïri MT, Benhouda H, Kuper M, Le Gal PY.

Trop Anim Health Prod. 2009 Feb;41(2):259-72. doi: 10.1007/s11250-008-9183-9. Epub 2008 May 22.

PMID:
18493862
9.

Shorter sampling periods and accurate estimates of milk volume and components are possible for pasture based dairy herds milked with automated milking systems.

Kamphuis C, Burke JK, Taukiri S, Petch SF, Turner SA.

J Dairy Res. 2016 Aug;83(3):326-33. doi: 10.1017/S0022029916000406.

PMID:
27600967
10.

The profitability of automatic milking on Dutch dairy farms.

Bijl R, Kooistra SR, Hogeveen H.

J Dairy Sci. 2007 Jan;90(1):239-48.

PMID:
17183092
11.

Near-infrared spectroscopy for dairy management: measurement of unhomogenized milk composition.

Tsenkova R, Atanassova S, Toyoda K, Ozaki Y, Itoh K, Fearn T.

J Dairy Sci. 1999 Nov;82(11):2344-51.

PMID:
10575600
12.
13.
14.

Variance components for test-day milk, fat, and protein yield, and somatic cell score for analyzing management information.

Caccamo M, Veerkamp RF, de Jong G, Pool MH, Petriglieri R, Licitra G.

J Dairy Sci. 2008 Aug;91(8):3268-76. doi: 10.3168/jds.2007-0805.

PMID:
18650304
15.

Detection of carryover in automated milk sampling equipment.

Løvendahl P, Bjerring MA.

J Dairy Sci. 2006 Sep;89(9):3645-52.

PMID:
16899700
16.

Near-infrared analysis of fat, protein, and casein in cow's milk.

Laporte MF, Paquin P.

J Agric Food Chem. 1999 Jul;47(7):2600-5.

PMID:
10552532
17.

Effect of frequency of milking on yield, composition and processing quality of milk.

O'Brien B, Ryan G, Meaney WJ, McDonagh D, Kelly A.

J Dairy Res. 2002 Aug;69(3):367-74.

PMID:
12369407
18.

The effect of herbage allowance and concentrate supplementation on milk production performance and dry matter intake of spring-calving dairy cows in early lactation.

McEvoy M, Kennedy E, Murphy JP, Boland TM, Delaby L, O'Donovan M.

J Dairy Sci. 2008 Mar;91(3):1258-69. doi: 10.3168/jds.2007-0710.

PMID:
18292284
19.

Potential and limitation of mid-infrared attenuated total reflectance spectroscopy for real time analysis of raw milk in milking lines.

Linker R, Etzion Y.

J Dairy Res. 2009 Feb;76(1):42-8. doi: 10.1017/S0022029908003580. Epub 2008 Oct 17.

PMID:
18925993
20.

Variation of Delta 9-desaturase activity in dairy cattle.

Soyeurt H, Dehareng F, Mayeres P, Bertozzi C, Gengler N.

J Dairy Sci. 2008 Aug;91(8):3211-24. doi: 10.3168/jds.2007-0518.

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