کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8501462 | 1553842 | 2018 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Diagnosing pregnancy status using infrared spectra and milk composition in dairy cows
ترجمه فارسی عنوان
تشخیص وضعیت بارداری با استفاده از طیف مادون قرمز و ترکیب شیر در گاوهای شیری
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کلمات کلیدی
تبدیل فوریه طیف سنجی مادون قرمز، شیر، جزء شیر، بارداری،
موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم کشاورزی و بیولوژیک
علوم دامی و جانورشناسی
چکیده انگلیسی
Data on Holstein (16,890), Brown Swiss (31,441), Simmental (25,845), and Alpine Grey (12,535) cows reared in northeastern Italy were used to assess the ability of milk components (fat, protein, casein, and lactose) and Fourier transform infrared (FTIR) spectral data to diagnose pregnancy. Pregnancy status was defined as whether a pregnancy was confirmed by a subsequent calving and no other subsequent inseminations within 90 d of the breeding of specific interest. Milk samples were analyzed for components and FTIR full-spectrum data using a MilkoScan FT+ 6000 (Foss Electric, Hillerød, Denmark). The spectrum covered 1,060 wavenumbers (wn) from 5,010 to 925 cmâ1. Pregnancy status was predicted using generalized linear models with fat, protein, lactose, casein, and individual FTIR spectral bands or wavelengths as predictors. We also fitted a generalized linear model as a simultaneous function of all wavelengths (1,060 wn) with a Bayesian variable selection model using the BGLR R-package (https://r-forge.r-project.org/projects/bglr/). Prediction accuracy was determined using the area under a receiver operating characteristic curve based on a 10-fold cross-validation (CV-AUC) assessment based on sensitivities and specificities of phenotypic predictions. Overall, the best prediction accuracies were obtained for the model that included the complete FTIR spectral data. We observed similar patterns across breeds with small differences in prediction accuracy. The highest CV-AUC value was obtained for Alpine Grey cows (CV-AUC = 0.645), whereas Brown Swiss and Simmental cows had similar performance (CV-AUC = 0.630 and 0.628, respectively), followed by Holsteins (CV-AUC = 0.607). For single-wavelength analyses, important peaks were detected at wn 2,973 to 2,872 cmâ1 where Fat-B (C-H stretch) is usually filtered, wn 1,773 cmâ1 where Fat-A (C=O stretch) is filtered, wn 1,546 cmâ1 where protein is filtered, wn 1,468 cmâ1 associated with urea and fat, wn 1,399 and 1,245 cmâ1 associated with acetone, and wn 1,025 to 1,013 cmâ1 where lactose is filtered. In conclusion, this research provides new insight into alternative strategies for pregnancy screening of dairy cows.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Dairy Science - Volume 101, Issue 3, March 2018, Pages 2496-2505
Journal: Journal of Dairy Science - Volume 101, Issue 3, March 2018, Pages 2496-2505
نویسندگان
Hugo Toledo-Alvarado, Ana I. Vazquez, Gustavo de los Campos, Robert J. Tempelman, Giovanni Bittante, Alessio Cecchinato,