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Number Cited by Other Article(s)
1
Bisutti V, Mota LFM, Giannuzzi D, Toscano A, Amalfitano N, Schiavon S, Pegolo S, Cecchinato A. Infrared spectroscopy coupled with machine learning algorithms for predicting the detailed milk mineral profile in dairy cattle. Food Chem 2024;461:140800. [PMID: 39163724 DOI: 10.1016/j.foodchem.2024.140800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Revised: 08/02/2024] [Accepted: 08/06/2024] [Indexed: 08/22/2024]
2
Khan UM, Sameen A, Decker EA, Shabbir MA, Hussain S, Latif A, Abdi G, Aadil RM. Implementation of plant extracts for cheddar-type cheese production in conjunction with FTIR and Raman spectroscopy comparison. Food Chem X 2024;22:101256. [PMID: 38495457 PMCID: PMC10943033 DOI: 10.1016/j.fochx.2024.101256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 02/13/2024] [Accepted: 02/25/2024] [Indexed: 03/19/2024]  Open
3
Mota LFM, Giannuzzi D, Pegolo S, Toledo-Alvarado H, Schiavon S, Gallo L, Trevisi E, Arazi A, Katz G, Rosa GJM, Cecchinato A. Combining genetic markers, on-farm information and infrared data for the in-line prediction of blood biomarkers of metabolic disorders in Holstein cattle. J Anim Sci Biotechnol 2024;15:83. [PMID: 38851729 PMCID: PMC11162571 DOI: 10.1186/s40104-024-01042-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Accepted: 04/28/2024] [Indexed: 06/10/2024]  Open
4
Zhang X, Chen S, Zhang P, Wang C, Wang Q, Zhou X. Staging of Liver Fibrosis Based on Energy Valley Optimization Multiple Stacking (EVO-MS) Model. Bioengineering (Basel) 2024;11:485. [PMID: 38790352 PMCID: PMC11117710 DOI: 10.3390/bioengineering11050485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Revised: 05/09/2024] [Accepted: 05/10/2024] [Indexed: 05/26/2024]  Open
5
Mota LFM, Giannuzzi D, Pegolo S, Sturaro E, Gianola D, Negrini R, Trevisi E, Ajmone Marsan P, Cecchinato A. Genomic prediction of blood biomarkers of metabolic disorders in Holstein cattle using parametric and nonparametric models. Genet Sel Evol 2024;56:31. [PMID: 38684971 PMCID: PMC11057143 DOI: 10.1186/s12711-024-00903-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 04/12/2024] [Indexed: 05/02/2024]  Open
6
Giannuzzi D, Mota LFM, Pegolo S, Tagliapietra F, Schiavon S, Gallo L, Marsan PA, Trevisi E, Cecchinato A. Prediction of detailed blood metabolic profile using milk infrared spectra and machine learning methods in dairy cattle. J Dairy Sci 2023;106:3321-3344. [PMID: 37028959 DOI: 10.3168/jds.2022-22454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 12/14/2022] [Indexed: 04/09/2023]
7
Mota LFM, Giannuzzi D, Pegolo S, Trevisi E, Ajmone-Marsan P, Cecchinato A. Integrating on-farm and genomic information improves the predictive ability of milk infrared prediction of blood indicators of metabolic disorders in dairy cows. Genet Sel Evol 2023;55:23. [PMID: 37013482 PMCID: PMC10069109 DOI: 10.1186/s12711-023-00795-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 03/21/2023] [Indexed: 04/05/2023]  Open
8
Cheng J, Sun J, Yao K, Xu M, Wang S, Fu L. Hyperspectral technique combined with stacking and blending ensemble learning method for detection of cadmium content in oilseed rape leaves. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2023;103:2690-2699. [PMID: 36479694 DOI: 10.1002/jsfa.12376] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 10/21/2022] [Accepted: 12/01/2022] [Indexed: 06/17/2023]
9
Establishment and Validation of Fourier Transform Infrared Spectroscopy (FT–MIR) Methodology for the Detection of Linoleic Acid in Buffalo Milk. Foods 2023;12:foods12061199. [PMID: 36981127 PMCID: PMC10048274 DOI: 10.3390/foods12061199] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 02/28/2023] [Accepted: 03/10/2023] [Indexed: 03/14/2023]  Open
10
Macedo Mota LF, Bisutti V, Vanzin A, Pegolo S, Toscano A, Schiavon S, Tagliapietra F, Gallo L, Ajmone Marsan P, Cecchinato A. Predicting milk protein fractions using infrared spectroscopy and a gradient boosting machine for breeding purposes in Holstein cattle. J Dairy Sci 2023;106:1853-1873. [PMID: 36710177 DOI: 10.3168/jds.2022-22119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 10/10/2022] [Indexed: 01/29/2023]
11
Comparison of machine learning models for bluetongue risk prediction: a seroprevalence study on small ruminants. BMC Vet Res 2022;18:394. [DOI: 10.1186/s12917-022-03486-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Accepted: 10/25/2022] [Indexed: 11/11/2022]  Open
12
Giannuzzi D, Mota LFM, Pegolo S, Gallo L, Schiavon S, Tagliapietra F, Katz G, Fainboym D, Minuti A, Trevisi E, Cecchinato A. In-line near-infrared analysis of milk coupled with machine learning methods for the daily prediction of blood metabolic profile in dairy cattle. Sci Rep 2022;12:8058. [PMID: 35577915 PMCID: PMC9110744 DOI: 10.1038/s41598-022-11799-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 04/12/2022] [Indexed: 12/29/2022]  Open
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