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23篇 您的检索式:作者名="Bittante"
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1Prediction of meat quality traits in the abattoir using portable near-infrared spectrometers:heritability of predicted traits and genetic correlations with laboratory-measured traits显示文摘Background:The possibility of assessing meat quality traits over the meat chain is strongly limited,especially in the context of selective breeding which requires a large number of phenotypes.The main objective of this study was to investigate the suitability of portable infrared spectrometers for phenotyping beef cattle aiming to genetically improving the quality of their meat.Meat quality traits(pH,color,water holding capacity,tenderness)were appraised on rib eye muscle samples of 1,327 Piemontese young bulls using traditional(i.e.,reference/gold standard)laboratory analyses;the same traits were also predicted from spectra acquired at the abattoir on the intact muscle surface of the same animals 1 d after slaughtering.Genetic parameters were estimated for both laboratory measures of meat quality traits and their spectra-based predictions.Results:The prediction performances of the calibration equations,assessed through external validation,were satisfactory for color traits(R^(2) from 0.52 to 0.80),low for pH and purge losses(R^(2) around 0.30),and very poor for cooking losses and tenderness(R^(2) below 0.20).Except for lightness and purge losses,the heritability estimates of most of the predicted traits were lower than those of the measured traits while the genetic correlations between measured and predicted traits were high(average value 0.81).Conclusions:Results showed that NIRS predictions of color traits,pH,and purge losses could be used as indicator traits for the indirect genetic selection of the reference quality phenotypes.Results for cooking losses were less effective,while the NIR predictions of tenderness were affected by a relatively high uncertainty of estimate.Overall,genetic selection of some meat quality traits,whose direct phenotyping is difficult,can benefit of the application of infrared spectrometers technology.Simone Savoia Andrea Albera Alberto Brugiapaglia Liliana Di Stasio Alessio Cecchinato Giovanni Bittante 2021Journal of Animal Science and Biotechnology2021,12,3:3
2Effects of Composite β- and κ-Casein Genotypes on Milk Coagulation, Quality, and Yield Traits in Italian Holstein Cows显示文摘A. Comin M. Cassandro S. Chessa M. Ojala R. Dal Zotto M. De Marchi P. Carnier L. Gallo G. Pagnacco G. Bittante 2008Journal of Dairy Science2008,,10:2
3Investigation on variability of candidate genes for meat quality traits in Piemontese cattles 显示文摘Ribeca C Bittante G Albera A 2010Italian Journal of Animal Science2010,8,:1
4Modeling rennet coagulation time and curd firmness of milk显示文摘BITTANTE G 2011Journal of Dairy Science2011,94,:1
5Prolonged observation and modelling of milk coagulation,curd firming,and syneresis显示文摘BITTANTE G CONTIERO B CECCHINATO A 2013International Dairy Journal2013,29,:1
6Monitoring of sensory attributes used in the quality payment system of Trentingrana cheese显示文摘Bittante G Cologna N Cecchinato A 2011J Dairy Sci2011,94,11:1
7Invited review: Genetics and modeling of milk coagulation properties显示文摘G. Bittante M. Penasa A. Cecchinato 2012Journal of Dairy Science2012,,12:1
8Effect of monensin on milk production and efficiency of dairy cows fed two diets differing in forage to concentrate ratios 显示文摘Maurizio Ramanzin Lucia Bailoni Stefano Schiavon Giovanni Bittante 1997J Dairy Sci1997,80,:1
9Comparison between mechanical and near-infrared methods for assessing coagulation properties of bovine milk显示文摘C. Cipolat-Gotet A. Cecchinato M. De Marchi M. Penasa G. Bittante 2012Journal of Dairy Science2012,,11:1
10Modeling rennet coagulation time and curd firmness of milk显示文摘G. Bittante 2011Journal of Dairy Science2011,,12:1
11Genetic parameters of coagulation properties, milk yield, quality, and acidity estimated using coagulating and noncoagulating milk information in Brown Swiss and Holstein-Friesian cows显示文摘A. Cecchinato M. Penasa M. De Marchi L. Gallo G. Bittante P. Carnier 2011Journal of Dairy Science2011,,8:1
12Short communication: Influence of composite casein genotypes on additive genetic variation of milk production traits and coagulation properties in Holstein-Friesian cows显示文摘M. Penasa M. Cassandro D. Pretto M. De Marchi A. Comin S. Chessa R. Dal Zotto G. Bittante 2010Journal of Dairy Science2010,,7:1
13Prediction of coagulation properties, titratable acidity, and pH of bovine milk using mid-infrared spectroscopy显示文摘M. De Marchi C.C. Fagan C.P. O’Donnell A. Cecchinato R. Dal Zotto M. Cassandro M. Penasa G. Bittante 2009Journal of Dairy Science2009,,1:1
14Reproducibility and Repeatability of Measures of Milk Coagulation Properties and Predictive Ability of Mid-Infrared Reflectance Spectroscopy显示文摘R. Dal Zotto M. De Marchi A. Cecchinato M. Penasa M. Cassandro P. Carnier L. Gallo G. Bittante 2008Journal of Dairy Science2008,,10:1
15Ruminal organic acid analysis by gas chromatography/mass spectrometry显示文摘Daolio S Bonsembiante M Bittante G 1989Journal of Agricultural and Food Chemistry1989,37,:1
16Ruminal organic acid analysis by gas chromatography/mass spectrometry显示文摘Daolio S Bonsembiante M Bittante G 1989Journal of Agricultural and Food Chemistry1989,37,:1
17Genetic parameters of carcass and meat quality traits of double muscled Piemontese cattle显示文摘A. Boukha V. Bonfatti A. Cecchinato A. Albera L. Gallo P. Carnier G. Bittante 2011Meat Science2011,,1:1
18Residence time and axial dispersion of liquids in Trickle Bed Reactors atlaboratory scale 显示文摘Bittante A GarcIa-Sema J Biasi P 2014Chemical Engineering Journal2014,250,:1
19Variation of major mineral contents in Mediterranean buffalo milk and application of Fourier transform infrared spectroscopy for their indirect prediction 显示文摘STOCCO G CIPOLAT-GOTET C BITTANTE G 2014Acta Agraria Kaposvtriensis2014,18,1:1
20Circulating Progenitor Cell Count Predicts Microvascular Outcomes in Type 2 Diabetic Patients 显示文摘Rigato M Bittante C Albiero M 2015The Journal of clinical endocrinology and metabolism2015,100,7:1
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