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Items: 1 to 50 of 270

1.

Short communication: Association analysis of diacylglycerol acyltransferase (DGAT1) mutation on chromosome 14 for milk yield and composition traits, somatic cell score, and coagulation properties in Holstein bulls.

Bobbo T, Tiezzi F, Penasa M, De Marchi M, Cassandro M.

J Dairy Sci. 2018 Jul 12. pii: S0022-0302(18)30655-6. doi: 10.3168/jds.2018-14533. [Epub ahead of print]

PMID:
30007808
2.

Genetic (co)variances between milk mineral concentration and chemical composition in lactating Holstein-Friesian dairy cows.

Visentin G, Niero G, Berry DP, Costa A, Cassandro M, De Marchi M, Penasa M.

Animal. 2018 Jul 6:1-10. doi: 10.1017/S1751731118001507. [Epub ahead of print]

PMID:
29976269
3.

Technical note: Development and validation of an HPLC method for the quantification of tocopherols in different types of commercial cow milk.

Niero G, Penasa M, Berard J, Kreuzer M, Cassandro M, De Marchi M.

J Dairy Sci. 2018 Jun 6. pii: S0022-0302(18)30537-X. doi: 10.3168/jds.2017-14187. [Epub ahead of print]

PMID:
29885892
4.

Development of Fourier-transformed mid-infrared spectroscopy prediction models for major constituents of fractions of delactosated, defatted milk obtained through ultra- and nanofiltration.

Franzoi M, Manuelian CL, Rovigatti L, Donati E, De Marchi M.

J Dairy Sci. 2018 May 9. pii: S0022-0302(18)30426-0. doi: 10.3168/jds.2017-14343. [Epub ahead of print]

PMID:
29753470
5.

Multiresidue determination and predicted risk assessment of contaminants of emerging concern in marine sediments from the vicinities of submarine sewage outfalls.

Dos Santos DM, Buruaem L, Gonçalves RM, Williams M, Abessa DMS, Kookana R, de Marchi MRR.

Mar Pollut Bull. 2018 Apr;129(1):299-307. doi: 10.1016/j.marpolbul.2018.02.048. Epub 2018 Mar 23.

PMID:
29680552
6.

Corrigendum to "Development of an Italian RM Y-STR haplotype database: Results of the 2013 GEFI collaborative exercise" [Forensic Sci. Int. Genet. 15 (2015) 56-63].

Robino C, Ralf A, Pasino S, De Marchi MR, Ballantyne KN, Barbaro A, Bini C, Carnevali E, Casarino L, Gaetano CD, Fabbri M, Ferri G, Giardina E, Gonzalez A, Matullo G, Nutini AL, Onofri V, Piccinini A, Piglionica M, Ponzano E, Previderè C, Resta N, Scarnicci F, Seidita G, Sorçaburu-Cigliero S, Turrina S, Verzeletti A, Kayser M.

Forensic Sci Int Genet. 2018 Apr 4. pii: S1872-4973(18)30195-9. doi: 10.1016/j.fsigen.2018.03.014. [Epub ahead of print] No abstract available.

PMID:
29627344
7.

Short communication: Phenotypic characterization of total antioxidant activity of buffalo, goat, and sheep milk.

Niero G, Currò S, Costa A, Penasa M, Cassandro M, Boselli C, Giangolini G, De Marchi M.

J Dairy Sci. 2018 Jun;101(6):4864-4868. doi: 10.3168/jds.2017-13792. Epub 2018 Mar 15.

PMID:
29550119
8.

Investigation on the effectiveness of mid-infrared spectroscopy to predict detailed mineral composition of bulk milk.

Malacarne M, Visentin G, Summer A, Cassandro M, Penasa M, Bolzoni G, Zanardi G, De Marchi M.

J Dairy Res. 2018 Feb;85(1):83-86. doi: 10.1017/S0022029917000826. No abstract available.

PMID:
29468997
9.

Corrigendum to "Development of an Italian RM Y-STR haplotype database: Results of the 2013 GEFI collaborative exercise" [Forensic. Sci. Int. Genet. 15 (2015) 56-63].

Robino C, Ralf A, Pasino S, De Marchi MR, Ballantyne KN, Barbaro A, Bini C, Carnevali E, Casarino L, Di Gaetano C, Fabbri M, Ferri G, Giardina E, Gonzalez A, Matullo G, Nutini AL, Onofri V, Piccinini A, Piglionica M, Ponzano E, Previderè C, Resta N, Scarnicci F, Seidita G, Sorçaburu-Cigliero S, Turrina S, Verzeletti A, Kayser M.

Forensic Sci Int Genet. 2018 May;34:e23-e24. doi: 10.1016/j.fsigen.2018.01.008. Epub 2018 Feb 7. No abstract available.

PMID:
29428588
10.

Technical note: Development and validation of a new method for the quantification of soluble and micellar calcium, magnesium, and potassium in milk.

Franzoi M, Niero G, Penasa M, Cassandro M, De Marchi M.

J Dairy Sci. 2018 Mar;101(3):1883-1888. doi: 10.3168/jds.2017-13419. Epub 2017 Dec 21.

PMID:
29274961
11.

Factors associated with herd bulk milk composition and technological traits in the Italian dairy industry.

Benedet A, Manuelian CL, Penasa M, Cassandro M, Righi F, Sternieri M, Galimberti P, Zambrini AV, De Marchi M.

J Dairy Sci. 2018 Feb;101(2):934-943. doi: 10.3168/jds.2017-12717. Epub 2017 Nov 23.

PMID:
29174144
12.

Development and validation of a novel SNP panel for the genetic characterization of Italian chicken breeds by next-generation sequencing discovery and array genotyping.

Viale E, Zanetti E, Özdemir D, Broccanello C, Dalmasso A, De Marchi M, Cassandro M.

Poult Sci. 2017 Sep 1;96(11):3858-3866. doi: 10.3382/ps/pex238.

PMID:
29050437
13.

Technical note: Feasibility of near infrared transmittance spectroscopy to predict cheese ripeness.

Currò S, Manuelian CL, Penasa M, Cassandro M, De Marchi M.

J Dairy Sci. 2017 Nov;100(11):8759-8763. doi: 10.3168/jds.2017-13001. Epub 2017 Sep 13.

PMID:
28918140
14.

Environmental life cycle assessment of Italian mozzarella cheese: Hotspots and improvement opportunities.

Dalla Riva A, Burek J, Kim D, Thoma G, Cassandro M, De Marchi M.

J Dairy Sci. 2017 Oct;100(10):7933-7952. doi: 10.3168/jds.2016-12396. Epub 2017 Aug 2.

PMID:
28780094
15.

Genetic and nongenetic factors associated with milk color in dairy cows.

Scarso S, McParland S, Visentin G, Berry DP, McDermott A, De Marchi M.

J Dairy Sci. 2017 Sep;100(9):7345-7361. doi: 10.3168/jds.2016-11683. Epub 2017 Jul 12.

PMID:
28711262
16.

Association of candidate gene polymorphisms with milk technological traits, yield, composition, and somatic cell score in Italian Holstein-Friesian sires.

Viale E, Tiezzi F, Maretto F, De Marchi M, Penasa M, Cassandro M.

J Dairy Sci. 2017 Sep;100(9):7271-7281. doi: 10.3168/jds.2017-12666. Epub 2017 Jul 12.

PMID:
28711251
17.

Short communication: Prediction of milk coagulation and acidity traits in Mediterranean buffalo milk using Fourier-transform mid-infrared spectroscopy.

Manuelian CL, Visentin G, Boselli C, Giangolini G, Cassandro M, De Marchi M.

J Dairy Sci. 2017 Sep;100(9):7083-7087. doi: 10.3168/jds.2017-12707. Epub 2017 Jun 28.

PMID:
28668534
18.

Technical note: At-line prediction of mineral composition of fresh cheeses using near-infrared technologies.

Manuelian CL, Currò S, Visentin G, Penasa M, Cassandro M, Dellea C, Bernardi M, De Marchi M.

J Dairy Sci. 2017 Aug;100(8):6084-6089. doi: 10.3168/jds.2017-12634. Epub 2017 Jun 16.

PMID:
28624277
19.

Cow and environmental factors associated with protein fractions and free amino acids predicted using mid-infrared spectroscopy in bovine milk.

McDermott A, De Marchi M, Berry DP, Visentin G, Fenelon MA, Lopez-Villalobos N, McParland S.

J Dairy Sci. 2017 Aug;100(8):6272-6284. doi: 10.3168/jds.2016-12410. Epub 2017 Jun 16.

PMID:
28624276
20.

Processing characteristics of dairy cow milk are moderately heritable.

Visentin G, McParland S, De Marchi M, McDermott A, Fenelon MA, Penasa M, Berry DP.

J Dairy Sci. 2017 Aug;100(8):6343-6355. doi: 10.3168/jds.2017-12642. Epub 2017 May 30.

PMID:
28571984
21.

Feasibility of near infrared transmittance spectroscopy to predict fatty acid composition of commercial processed meat.

De Marchi M, Manuelian CL, Ton S, Cassandro M, Penasa M.

J Sci Food Agric. 2018 Jan;98(1):64-73. doi: 10.1002/jsfa.8438. Epub 2017 Jun 23.

PMID:
28523863
22.

QuEChERS-Based Method for Pesticides Analysis in Adipose Tissue Associated with Rat Ovaries.

Zamariola N, Toledo Netto P, da Silva Franchi CA, de Camargo JLV, de Marchi MRR.

J Anal Toxicol. 2017 Jun 1;41(5):399-406. doi: 10.1093/jat/bkx023.

PMID:
28334957
23.

Copy number variants analysis in a cohort of isolated and syndromic developmental delay/intellectual disability reveals novel genomic disorders, position effects and candidate disease genes.

Di Gregorio E, Riberi E, Belligni EF, Biamino E, Spielmann M, Ala U, Calcia A, Bagnasco I, Carli D, Gai G, Giordano M, Guala A, Keller R, Mandrile G, Arduino C, Maffè A, Naretto VG, Sirchia F, Sorasio L, Ungari S, Zonta A, Zacchetti G, Talarico F, Pappi P, Cavalieri S, Giorgio E, Mancini C, Ferrero M, Brussino A, Savin E, Gandione M, Pelle A, Giachino DF, De Marchi M, Restagno G, Provero P, Cirillo Silengo M, Grosso E, Buxbaum JD, Pasini B, De Rubeis S, Brusco A, Ferrero GB.

Clin Genet. 2017 Oct;92(4):415-422. doi: 10.1111/cge.13009. Epub 2017 Jul 25.

PMID:
28295210
24.

Characterization of major and trace minerals, fatty acid composition, and cholesterol content of Protected Designation of Origin cheeses.

Manuelian CL, Currò S, Penasa M, Cassandro M, De Marchi M.

J Dairy Sci. 2017 May;100(5):3384-3395. doi: 10.3168/jds.2016-12059. Epub 2017 Feb 23.

PMID:
28237598
25.

Factors associated with milk processing characteristics predicted by mid-infrared spectroscopy in a large database of dairy cows.

Visentin G, De Marchi M, Berry DP, McDermott A, Fenelon MA, Penasa M, McParland S.

J Dairy Sci. 2017 Apr;100(4):3293-3304. doi: 10.3168/jds.2016-12028. Epub 2017 Jan 26.

PMID:
28131580
26.

Low-Temperature Wet Conformal Nickel Silicide Deposition for Transistor Technology through an Organometallic Approach.

Lin TH, Margossian T, De Marchi M, Thammasack M, Zemlyanov D, Kumar S, Jagielski J, Zheng LQ, Shih CJ, Zenobi R, De Micheli G, Baudouin D, Gaillardon PE, Copéret C.

ACS Appl Mater Interfaces. 2017 Feb 8;9(5):4948-4955. doi: 10.1021/acsami.6b13852. Epub 2017 Jan 25.

PMID:
28078888
27.

Prediction of chemical composition and peroxide value in unground pet foods by near-infrared spectroscopy.

De Marchi M, Righi F, Meneghesso M, Manfrin D, Ricci R.

J Anim Physiol Anim Nutr (Berl). 2018 Feb;102(1):337-342. doi: 10.1111/jpn.12663. Epub 2016 Dec 20.

PMID:
27997720
28.

Prediction of sodium content in commercial processed meat products using near infrared spectroscopy.

De Marchi M, Manuelian CL, Ton S, Manfrin D, Meneghesso M, Cassandro M, Penasa M.

Meat Sci. 2017 Mar;125:61-65. doi: 10.1016/j.meatsci.2016.11.014. Epub 2016 Nov 19.

PMID:
27888774
29.

Photochemical transformation of zearalenone in aqueous solutions under simulated solar irradiation: Kinetics and influence of water constituents.

Emídio ES, Calisto V, de Marchi MR, Esteves VI.

Chemosphere. 2017 Feb;169:146-154. doi: 10.1016/j.chemosphere.2016.11.042. Epub 2016 Nov 18.

PMID:
27870936
30.

Development and validation of a near infrared spectrophotometric method to determine total antioxidant activity of milk.

Niero G, Penasa M, Currò S, Masi A, Trentin AR, Cassandro M, De Marchi M.

Food Chem. 2017 Apr 1;220:371-376. doi: 10.1016/j.foodchem.2016.10.024. Epub 2016 Oct 5.

PMID:
27855913
31.

Analysis of BCLI, N363S and ER22/23EK Polymorphisms of the Glucocorticoid Receptor Gene in Adrenal Incidentalomas.

Reimondo G, Chiodini I, Puglisi S, Pia A, Morelli V, Kastelan D, Cannavo S, Berchialla P, Giachino D, Perotti P, Cuccurullo A, Paccotti P, Beck-Peccoz P, De Marchi M, Terzolo M.

PLoS One. 2016 Sep 20;11(9):e0162437. doi: 10.1371/journal.pone.0162437. eCollection 2016.

32.

Variable selection procedures before partial least squares regression enhance the accuracy of milk fatty acid composition predicted by mid-infrared spectroscopy.

Gottardo P, Penasa M, Lopez-Villalobos N, De Marchi M.

J Dairy Sci. 2016 Oct;99(10):7782-7790. doi: 10.3168/jds.2016-10849. Epub 2016 Aug 10.

PMID:
27522434
33.

Predictive ability of mid-infrared spectroscopy for major mineral composition and coagulation traits of bovine milk by using the uninformative variable selection algorithm.

Visentin G, Penasa M, Gottardo P, Cassandro M, De Marchi M.

J Dairy Sci. 2016 Oct;99(10):8137-8145. doi: 10.3168/jds.2016-11053. Epub 2016 Aug 10.

PMID:
27522421
34.

In Silico Modeling of Liver Metabolism in a Human Disease Reveals a Key Enzyme for Histidine and Histamine Homeostasis.

Pagliarini R, Castello R, Napolitano F, Borzone R, Annunziata P, Mandrile G, De Marchi M, Brunetti-Pierri N, di Bernardo D.

Cell Rep. 2016 Jun 7;15(10):2292-2300. doi: 10.1016/j.celrep.2016.05.014. Epub 2016 May 26.

35.

Effects of dairy factory, milk casein content and titratable acidity on coagulation properties in Trentingrana dairy industry.

Penasa M, Toffanin V, Cologna N, Cassandro M, De Marchi M.

J Dairy Res. 2016 May;83(2):242-8. doi: 10.1017/S0022029916000212.

PMID:
27210496
36.

Estimation of economic values for milk coagulation properties in Italian Holstein-Friesian cattle.

Cassandro M, Pretto D, Lopez-Villalobos N, De Marchi M, Penasa M.

J Dairy Sci. 2016 Aug;99(8):6619-6626. doi: 10.3168/jds.2015-10228. Epub 2016 May 11.

PMID:
27179872
37.

Distribution of butyltin compounds in Brazil's southern and southeastern estuarine ecosystems: assessment of spatial scale and compartments.

Dos Santos DM, Turra A, de Marchi MR, Montone RC.

Environ Sci Pollut Res Int. 2016 Aug;23(16):16152-63. doi: 10.1007/s11356-016-6720-3. Epub 2016 May 6.

PMID:
27151240
38.

Influence on the oxidative potential of a heavy-duty engine particle emission due to selective catalytic reduction system and biodiesel blend.

Godoi RH, Polezer G, Borillo GC, Brown A, Valebona FB, Silva TO, Ingberman AB, Nalin M, Yamamoto CI, Potgieter-Vermaak S, Penteado Neto RA, de Marchi MR, Saldiva PH, Pauliquevis T, Godoi AF.

Sci Total Environ. 2016 Aug 1;560-561:179-85. doi: 10.1016/j.scitotenv.2016.04.018. Epub 2016 Apr 19.

PMID:
27101453
39.

Short communication: Effects of pregnancy on milk yield, composition traits, and coagulation properties of Holstein cows.

Penasa M, De Marchi M, Cassandro M.

J Dairy Sci. 2016 Jun;99(6):4864-4869. doi: 10.3168/jds.2015-10168. Epub 2016 Apr 6.

PMID:
27060832
40.

Updated genetic testing of Italian patients referred with a clinical diagnosis of primary hyperoxaluria.

Pelle A, Cuccurullo A, Mancini C, Sebastiano R, Stallone G, Negrisolo S, Benetti E, Peruzzi L, Petrarulo M, De Marchi M, Marangella M, Amoroso A, Giachino D, Mandrile G.

J Nephrol. 2017 Apr;30(2):219-225. doi: 10.1007/s40620-016-0287-4. Epub 2016 Mar 5.

41.

Effectiveness of mid-infrared spectroscopy to predict the color of bovine milk and the relationship between milk color and traditional milk quality traits.

McDermott A, Visentin G, McParland S, Berry DP, Fenelon MA, De Marchi M.

J Dairy Sci. 2016 May;99(5):3267-3273. doi: 10.3168/jds.2015-10424. Epub 2016 Feb 18.

PMID:
26898278
42.

Prediction of individual milk proteins including free amino acids in bovine milk using mid-infrared spectroscopy and their correlations with milk processing characteristics.

McDermott A, Visentin G, De Marchi M, Berry DP, Fenelon MA, O'Connor PM, Kenny OA, McParland S.

J Dairy Sci. 2016 Apr;99(4):3171-3182. doi: 10.3168/jds.2015-9747. Epub 2016 Jan 29.

PMID:
26830742
43.

Short communication: Selecting the most informative mid-infrared spectra wavenumbers to improve the accuracy of prediction models for detailed milk protein content.

Niero G, Penasa M, Gottardo P, Cassandro M, De Marchi M.

J Dairy Sci. 2016 Mar;99(3):1853-1858. doi: 10.3168/jds.2015-10318. Epub 2016 Jan 13.

PMID:
26774721
44.

Quantification of whey proteins by reversed phase-HPLC and effectiveness of mid-infrared spectroscopy for their rapid prediction in sweet whey.

Sturaro A, De Marchi M, Masi A, Cassandro M.

J Dairy Sci. 2016 Jan;99(1):68-76. doi: 10.3168/jds.2014-9077. Epub 2015 Nov 14.

PMID:
26585472
45.

The occurrence of UV filters in natural and drinking water in São Paulo State (Brazil).

da Silva CP, Emídio ES, de Marchi MR.

Environ Sci Pollut Res Int. 2015 Dec;22(24):19706-15. doi: 10.1007/s11356-015-5174-3. Epub 2015 Aug 18.

PMID:
26278906
46.

Short communication: characterization of soluble thiols in bovine milk.

Niero G, De Marchi M, Masi A, Penasa M, Cassandro M.

J Dairy Sci. 2015 Sep;98(9):6014-7. doi: 10.3168/jds.2015-9740. Epub 2015 Jul 15.

PMID:
26188581
47.

Prediction of bovine milk technological traits from mid-infrared spectroscopy analysis in dairy cows.

Visentin G, McDermott A, McParland S, Berry DP, Kenny OA, Brodkorb A, Fenelon MA, De Marchi M.

J Dairy Sci. 2015 Sep;98(9):6620-9. doi: 10.3168/jds.2015-9323. Epub 2015 Jul 15.

PMID:
26188572
48.

Heterozygous Deletion of KLHL1/ATX8OS at the SCA8 Locus Is Unlikely Associated With Cerebellar Impairment in Humans.

Mandrile G, Di Gregorio E, Goel H, Giachino D, De Mercanti S, Iudicello M, Rolando M, Losa S, De Marchi M, Brusco A.

Cerebellum. 2016 Apr;15(2):208-12. doi: 10.1007/s12311-015-0679-3. No abstract available.

49.

Technical note: Improving the accuracy of mid-infrared prediction models by selecting the most informative wavelengths.

Gottardo P, De Marchi M, Cassandro M, Penasa M.

J Dairy Sci. 2015 Jun;98(6):4168-73. doi: 10.3168/jds.2014-8752. Epub 2015 Mar 28.

PMID:
25828654
50.

Determination of estrogenic mycotoxins in environmental water samples by low-toxicity dispersive liquid-liquid microextraction and liquid chromatography-tandem mass spectrometry.

Emídio ES, da Silva CP, de Marchi MR.

J Chromatogr A. 2015 Apr 24;1391:1-8. doi: 10.1016/j.chroma.2015.02.067. Epub 2015 Mar 1.

PMID:
25770896

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