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Items: 1 to 20 of 545

1.

Autochthonous dairy goat breeds showed better milk quality than Saanen under the same environmental conditions.

Currò S, Manuelian CL, De Marchi M, De Palo P, Claps S, Maggiolino A, Campanile G, Rufrano D, Fontana A, Pedota G, Neglia G.

Arch Anim Breed. 2019 Feb 28;62(1):83-89. doi: 10.5194/aab-62-83-2019. eCollection 2019.

2.

Step-down from non-invasive ventilation to continuous positive airway pressure: A better phenotyping is required.

Patout M, Dantoing E, De Marchi M, Hart N, Murphy PB, Cuvelier A.

Respirology. 2019 Nov 28. doi: 10.1111/resp.13746. [Epub ahead of print] No abstract available.

3.

Effects of somatic cell score on milk yield and mid-infrared predicted composition and technological traits of Brown Swiss, Holstein Friesian, and Simmental cattle breeds.

Franzoi M, Manuelian CL, Penasa M, De Marchi M.

J Dairy Sci. 2019 Nov 13. pii: S0022-0302(19)31014-8. doi: 10.3168/jds.2019-16916. [Epub ahead of print]

PMID:
31733847
4.

Shrinkage and Mitigation Strategies to Improve the Dimensional Stability of CaO-FeOx-Al2O3-SiO2 Inorganic Polymers.

Ascensão G, Beersaerts G, Marchi M, Segata M, Faleschini F, Pontikes Y.

Materials (Basel). 2019 Nov 8;12(22). pii: E3679. doi: 10.3390/ma12223679.

5.

Diagnostic criteria for small fibre neuropathy in clinical practice and research.

Devigili G, Rinaldo S, Lombardi R, Cazzato D, Marchi M, Salvi E, Eleopra R, Lauria G.

Brain. 2019 Dec 1;142(12):3728-3736. doi: 10.1093/brain/awz333.

PMID:
31665231
6.

Effects of Breed and Stage of Lactation on Milk Fatty Acid Composition of Italian Goat Breeds.

Currò S, L Manuelian C, De Marchi M, Claps S, Rufrano D, Neglia G.

Animals (Basel). 2019 Oct 3;9(10). pii: E764. doi: 10.3390/ani9100764.

7.

Understanding the attitude of others by hearing action sounds: the role of the insula.

Di Cesare G, Marchi M, Pinardi C, Rizzolatti G.

Sci Rep. 2019 Oct 8;9(1):14430. doi: 10.1038/s41598-019-50609-y.

8.

Responses to Hydric Stress in the Seed-Borne Necrotrophic Fungus Alternaria brassicicola.

N'Guyen GQ, Raulo R, Marchi M, Agustí-Brisach C, Iacomi B, Pelletier S, Renou JP, Bataillé-Simoneau N, Campion C, Bastide F, Hamon B, Mouchès C, Porcheron B, Lemoine R, Kwasiborski A, Simoneau P, Guillemette T.

Front Microbiol. 2019 Aug 30;10:1969. doi: 10.3389/fmicb.2019.01969. eCollection 2019.

9.

Prediction of blood metabolites from milk mid-infrared spectra in early-lactation cows.

Benedet A, Franzoi M, Penasa M, Pellattiero E, De Marchi M.

J Dairy Sci. 2019 Dec;102(12):11298-11307. doi: 10.3168/jds.2019-16937. Epub 2019 Sep 11.

PMID:
31521353
10.

Prediction of Mineral Composition in Commercial Extruded Dry Dog Food by Near-Infrared Reflectance Spectroscopy.

Goi A, Manuelian CL, Currò S, Marchi M.

Animals (Basel). 2019 Sep 1;9(9). pii: E640. doi: 10.3390/ani9090640.

11.

Pathogenic Variants in STXBP1 and in Genes for GABAa Receptor Subunities Cause Atypical Rett/Rett-like Phenotypes.

Cogliati F, Giorgini V, Masciadri M, Bonati MT, Marchi M, Cracco I, Gentilini D, Peron A, Savini MN, Spaccini L, Scelsa B, Maitz S, Veneselli E, Prato G, Pintaudi M, Moroni I, Vignoli A, Larizza L, Russo S.

Int J Mol Sci. 2019 Jul 24;20(15). pii: E3621. doi: 10.3390/ijms20153621.

12.

Development of Infrared Prediction Models for Diffusible and Micellar Minerals in Bovine Milk.

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

Animals (Basel). 2019 Jul 9;9(7). pii: E430. doi: 10.3390/ani9070430.

13.

Differences in the Detailed Milk Mineral Composition of Italian Local and Saanen Goat Breeds.

Currò S, De Marchi M, Claps S, Salzano A, De Palo P, Manuelian CL, Neglia G.

Animals (Basel). 2019 Jul 2;9(7). pii: E412. doi: 10.3390/ani9070412.

14.

The use of mid-infrared spectra to map genes affecting milk composition.

Benedet A, Ho PN, Xiang R, Bolormaa S, De Marchi M, Goddard ME, Pryce JE.

J Dairy Sci. 2019 Aug;102(8):7189-7203. doi: 10.3168/jds.2018-15890. Epub 2019 Jun 6.

PMID:
31178181
15.

Genetic relationships of lactose and freezing point with minerals and coagulation traits predicted from milk mid-infrared spectra in Holstein cows.

Costa A, Visentin G, De Marchi M, Cassandro M, Penasa M.

J Dairy Sci. 2019 Aug;102(8):7217-7225. doi: 10.3168/jds.2018-15378. Epub 2019 May 31.

PMID:
31155264
16.

Invited review: Milk lactose-Current status and future challenges in dairy cattle.

Costa A, Lopez-Villalobos N, Sneddon NW, Shalloo L, Franzoi M, De Marchi M, Penasa M.

J Dairy Sci. 2019 Jul;102(7):5883-5898. doi: 10.3168/jds.2018-15955. Epub 2019 May 10. Review.

PMID:
31079905
17.

Estimation of potential soil erosion in the Prosecco DOCG area (NE Italy), toward a soil footprint of bottled sparkling wine production in different land-management scenarios.

Pappalardo SE, Gislimberti L, Ferrarese F, De Marchi M, Mozzi P.

PLoS One. 2019 May 1;14(5):e0210922. doi: 10.1371/journal.pone.0210922. eCollection 2019.

18.

Variation of Detailed Protein Composition of Cow Milk Predicted from a Large Database of Mid-Infrared Spectra.

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

Animals (Basel). 2019 Apr 18;9(4). pii: E176. doi: 10.3390/ani9040176.

19.

Validation of a gold standard method for iodine quantification in raw and processed milk, and its variation in different dairy species.

Niero G, Franzoi M, Vigolo V, Penasa M, Cassandro M, Boselli C, Giangolini G, De Marchi M.

J Dairy Sci. 2019 Jun;102(6):4808-4815. doi: 10.3168/jds.2018-15946. Epub 2019 Mar 21.

PMID:
30904296
20.

HABITAT: An IoT Solution for Independent Elderly.

Borelli E, Paolini G, Antoniazzi F, Barbiroli M, Benassi F, Chesani F, Chiari L, Fantini M, Fuschini F, Galassi A, Giacobone GA, Imbesi S, Licciardello M, Loreti D, Marchi M, Masotti D, Mello P, Mellone S, Mincolelli G, Raffaelli C, Roffia L, Salmon Cinotti T, Tacconi C, Tamburini P, Zoli M, Costanzo A.

Sensors (Basel). 2019 Mar 12;19(5). pii: E1258. doi: 10.3390/s19051258.

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