Research Topics

A Cecchinato

Summary

Affiliation: University of Padova
Country: Italy

Publications

  1. Cecchinato A, Macciotta N, Mele M, Tagliapietra F, Schiavon S, Bittante G, et al. Genetic and genomic analyses of latent variables related to the milk fatty acid profile, milk composition, and udder health in dairy cattle. J Dairy Sci. 2019;: pubmed publisher
    ..Information acquired might be exploited in selection programs and when designing further studies on the role of the putative candidate genes identified in the regulation of milk composition and udder health. ..
  2. Cecchinato A, Bobbo T, Ruegg P, Gallo L, Bittante G, Pegolo S. Genetic variation in serum protein pattern and blood β-hydroxybutyrate and their relationships with udder health traits, protein profile, and cheese-making properties in Holstein cows. J Dairy Sci. 2018;101:11108-11119 pubmed publisher
  3. Cipolat Gotet C, Cecchinato A, Malacarne M, Bittante G, Summer A. Variations in milk protein fractions affect the efficiency of the cheese-making process. J Dairy Sci. 2018;101:8788-8804 pubmed publisher
  4. Bittante G, Ferragina A, Cipolat Gotet C, Cecchinato A. Comparison between genetic parameters of cheese yield and nutrient recovery or whey loss traits measured from individual model cheese-making methods or predicted from unprocessed bovine milk samples using Fourier-transform infrared spectroscopy. J Dairy Sci. 2014;97:6560-72 pubmed publisher
  5. Cecchinato A, Albera A, Cipolat Gotet C, Ferragina A, Bittante G. Genetic parameters of cheese yield and curd nutrient recovery or whey loss traits predicted using Fourier-transform infrared spectroscopy of samples collected during milk recording on Holstein, Brown Swiss, and Simmental dairy cows. J Dairy Sci. 2015;98:4914-27 pubmed publisher
    ..Collectively, our findings indicate that breeding strategies aimed at enhancing CY and REC could be easily and rapidly implemented for dairy cattle populations in which FTIR spectra are routinely acquired from individual milk samples. ..
  6. Cipolat Gotet C, Bittante G, Cecchinato A. Phenotypic analysis of cheese yields and nutrient recoveries in the curd of buffalo milk, as measured with an individual model cheese-manufacturing process. J Dairy Sci. 2015;98:633-45 pubmed publisher
    ..The cheese-making procedure tested allowed us to assess the variability of and relationships among different cheese yield traits, recovery traits, daily milk production traits, and milk components at the individual level. ..
  7. Bittante G, Cipolat Gotet C, Malchiodi F, Sturaro E, Tagliapietra F, Schiavon S, et al. Effect of dairy farming system, herd, season, parity, and days in milk on modeling of the coagulation, curd firming, and syneresis of bovine milk. J Dairy Sci. 2015;98:2759-74 pubmed publisher
    ..This novel strategy may be useful for investigating the genetic variability of these new coagulation traits. ..
  8. Stocco G, Cipolat Gotet C, Cecchinato A, Calamari L, Bittante G. Milk skimming, heating, acidification, lysozyme, and rennet affect the pattern, repeatability, and predictability of milk coagulation properties and of curd-firming model parameters: A case study of Grana Padano. J Dairy Sci. 2015;98:5052-67 pubmed publisher
  9. Malchiodi F, Cecchinato A, Bittante G. Fertility traits of purebred Holsteins and 2- and 3-breed crossbred heifers and cows obtained from Swedish Red, Montbéliarde, and Brown Swiss sires. J Dairy Sci. 2014;97:7916-26 pubmed publisher
    ..Together, these findings indicate that the studied crossbred cows have higher reproductive potential than Holsteins. ..

More Information

Publications31

  1. Toledo Alvarado H, Vazquez A, de Los Campos G, Tempelman R, Gabai G, Cecchinato A, et al. Changes in milk characteristics and fatty acid profile during the estrous cycle in dairy cows. J Dairy Sci. 2018;101:9135-9153 pubmed publisher
    ..Hence, the variation in milk profiles of cows showing estrus should potentially be taken into account for precision dairy farming management. ..
  2. Ferragina A, de los Campos G, Vazquez A, Cecchinato A, Bittante G. Bayesian regression models outperform partial least squares methods for predicting milk components and technological properties using infrared spectral data. J Dairy Sci. 2015;98:8133-51 pubmed publisher
    ..As part of our study, we provide scripts based on the open source R software BGLR, which can be used to train customized prediction equations for other traits or populations. ..
  3. Pegolo S, Cecchinato A, Mele M, Conte G, Schiavon S, Bittante G. Effects of candidate gene polymorphisms on the detailed fatty acids profile determined by gas chromatography in bovine milk. J Dairy Sci. 2016;99:4558-4573 pubmed publisher
    ..These results may support the possibility of using genetic selection to modify milk fatty acid profiles to promote beneficial health-related effects. ..
  4. Cipolat Gotet C, Cecchinato A, Stocco G, Bittante G. The 9-MilCA method as a rapid, partly automated protocol for simultaneously recording milk coagulation, curd firming, syneresis, cheese yield, and curd nutrients recovery or whey loss. J Dairy Sci. 2016;99:1065-1082 pubmed publisher
    ..g., milk gelation, curd firming, syneresis, and whey expulsion) as well as the cheese yield and the efficiency of energy or nutrients retention in the cheese or loss in the whey. ..
  5. Dadousis C, Biffani S, Cipolat Gotet C, Nicolazzi E, Rosa G, Gianola D, et al. Genome-wide association study for cheese yield and curd nutrient recovery in dairy cows. J Dairy Sci. 2017;100:1259-1271 pubmed publisher
  6. Bobbo T, Cipolat Gotet C, Bittante G, Cecchinato A. The nonlinear effect of somatic cell count on milk composition, coagulation properties, curd firmness modeling, cheese yield, and curd nutrient recovery. J Dairy Sci. 2016;99:5104-5119 pubmed publisher
    ..Moreover, we report that a very low SCS has a negative effect on some technological traits of milk. ..
  7. Dadousis C, Biffani S, Cipolat Gotet C, Nicolazzi E, Rossoni A, Santus E, et al. Genome-wide association of coagulation properties, curd firmness modeling, protein percentage, and acidity in milk from Brown Swiss cows. J Dairy Sci. 2016;99:3654-3666 pubmed publisher
    ..The new CFt traits reinforced the support of MCP signals and provided with additional information on genomic regions that might be involved in regulation of the coagulation process of bovine milk. ..
  8. Bergamaschi M, Cecchinato A, Biasioli F, Gasperi F, Martin B, Bittante G. From cow to cheese: genetic parameters of the flavour fingerprint of cheese investigated by direct-injection mass spectrometry (PTR-ToF-MS). Genet Sel Evol. 2016;48:89 pubmed
    ..More detailed investigations are necessary to connect VOC with the sensory properties of cheese and gain a better understanding of the significance of these new phenotypes. ..
  9. Dadousis C, Pegolo S, Rosa G, Gianola D, Bittante G, Cecchinato A. Pathway-based genome-wide association analysis of milk coagulation properties, curd firmness, cheese yield, and curd nutrient recovery in dairy cattle. J Dairy Sci. 2017;100:1223-1231 pubmed publisher
    ..This study provided new insights into the regulation of bovine milk coagulation and cheese ability that were not captured by the GWAS. ..
  10. Pegolo S, Cecchinato A, Casellas J, Conte G, Mele M, Schiavon S, et al. Genetic and environmental relationships of detailed milk fatty acids profile determined by gas chromatography in Brown Swiss cows. J Dairy Sci. 2016;99:1315-1330 pubmed publisher
    ..Overall, these results provide useful information to combine feeding with genetic selection strategies for obtaining a desirable milk fatty acids profile, depending on the origin of fatty acids in milk. ..
  11. Stocco G, Cipolat Gotet C, Bonfatti V, Schiavon S, Bittante G, Cecchinato A. Short communication: Variations in major mineral contents of Mediterranean buffalo milk and application of Fourier-transform infrared spectroscopy for their prediction. J Dairy Sci. 2016;99:8680-8686 pubmed publisher
  12. Cecchinato A, Bittante G. Genetic and environmental relationships of different measures of individual cheese yield and curd nutrients recovery with coagulation properties of bovine milk. J Dairy Sci. 2016;99:1975-1989 pubmed publisher
    ..Moreover, our results demonstrated that the traditional MCP have limited relevance for predicting individual cheese yield. Therefore, their use for this purpose in the dairy industry and breeding programs seems questionable. ..
  13. Toledo Alvarado H, Vazquez A, de Los Campos G, Tempelman R, Bittante G, Cecchinato A. Diagnosing pregnancy status using infrared spectra and milk composition in dairy cows. J Dairy Sci. 2018;101:2496-2505 pubmed publisher
    ..In conclusion, this research provides new insight into alternative strategies for pregnancy screening of dairy cows. ..
  14. Toledo Alvarado H, Cecchinato A, Bittante G. Fertility traits of Holstein, Brown Swiss, Simmental, and Alpine Grey cows are differently affected by herd productivity and milk yield of individual cows. J Dairy Sci. 2017;100:8220-8231 pubmed publisher
    ..Moreover, assessing the fertility of various breeds and their different responses to herd and individual productivity levels could be useful in devising more profitable crossbreeding programs in different dairy systems. ..
  15. Bittante G, Cecchinato A, Schiavon S. Dairy system, parity, and lactation stage affect enteric methane production, yield, and intensity per kilogram of milk and cheese predicted from gas chromatography fatty acids. J Dairy Sci. 2018;101:1752-1766 pubmed publisher
  16. Bobbo T, Ruegg P, Fiore E, Gianesella M, Morgante M, Pasotto D, et al. Short communication: Association between udder health status and blood serum proteins in dairy cows. J Dairy Sci. 2017;100:9775-9780 pubmed publisher
    ..Blood serum proteins can be a mammary gland inflammation indicator, but cannot be used to differentiate among different UH status groups. ..
  17. Dadousis C, Pegolo S, Rosa G, Bittante G, Cecchinato A. Genome-wide association and pathway-based analysis using latent variables related to milk protein composition and cheesemaking traits in dairy cattle. J Dairy Sci. 2017;100:9085-9102 pubmed publisher
    ..Our results support the feasibility of factor analysis as a dimension reduction technique in genomic studies and evidenced a potential key role of ?S2-CN in milk quality and composition. ..
  18. Mele M, Macciotta N, Cecchinato A, Conte G, Schiavon S, Bittante G. Multivariate factor analysis of detailed milk fatty acid profile: Effects of dairy system, feeding, herd, parity, and stage of lactation. J Dairy Sci. 2016;99:9820-9833 pubmed publisher
  19. Bobbo T, Ruegg P, Stocco G, Fiore E, Gianesella M, Morgante M, et al. Associations between pathogen-specific cases of subclinical mastitis and milk yield, quality, protein composition, and cheese-making traits in dairy cows. J Dairy Sci. 2017;100:4868-4883 pubmed publisher
  20. Bittante G, Cipolat Gotet C, Pazzola M, Dettori M, Vacca G, Cecchinato A. Genetic analysis of coagulation properties, curd firming modeling, milk yield, composition, and acidity in Sarda dairy sheep. J Dairy Sci. 2017;100:385-394 pubmed publisher
    ..Finally, in view of the estimated heritabilities and additive genetic correlations, enhancement of technological traits of sheep milk through selective breeding could be feasible in this population. ..
  21. Pegolo S, Stocco G, Mele M, Schiavon S, Bittante G, Cecchinato A. Factors affecting variations in the detailed fatty acid profile of Mediterranean buffalo milk determined by 2-dimensional gas chromatography. J Dairy Sci. 2017;100:2564-2576 pubmed publisher
  22. Stocco G, Cipolat Gotet C, Bobbo T, Cecchinato A, Bittante G. Breed of cow and herd productivity affect milk composition and modeling of coagulation, curd firming, and syneresis. J Dairy Sci. 2017;100:129-145 pubmed publisher
    ..It seems that improvement in MCP depends more on genetics (e.g., breed, selection) than on environmental and management factors. ..