These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

230 related articles for article (PubMed ID: 35181140)

  • 1. Pregnancy status predicted using milk mid-infrared spectra from dairy cattle.
    Tiplady KM; Trinh MH; Davis SR; Sherlock RG; Spelman RJ; Garrick DJ; Harris BL
    J Dairy Sci; 2022 Apr; 105(4):3615-3632. PubMed ID: 35181140
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Classifying the fertility of dairy cows using milk mid-infrared spectroscopy.
    Ho PN; Bonfatti V; Luke TDW; Pryce JE
    J Dairy Sci; 2019 Nov; 102(11):10460-10470. PubMed ID: 31495611
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Prediction of blood β-hydroxybutyrate content and occurrence of hyperketonemia in early-lactation, pasture-grazed dairy cows using milk infrared spectra.
    Bonfatti V; Turner SA; Kuhn-Sherlock B; Luke TDW; Ho PN; Phyn CVC; Pryce JE
    J Dairy Sci; 2019 Jul; 102(7):6466-6476. PubMed ID: 31079906
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Predicting the likelihood of conception to first insemination of dairy cows using milk mid-infrared spectroscopy.
    Ho PN; Pryce JE
    J Dairy Sci; 2020 Dec; 103(12):11535-11544. PubMed ID: 32981732
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Usefulness of milk mid-infrared spectroscopy for predicting lameness score in dairy cows.
    Bonfatti V; Ho PN; Pryce JE
    J Dairy Sci; 2020 Mar; 103(3):2534-2544. PubMed ID: 31882209
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Diagnosing the pregnancy status of dairy cows: How useful is milk mid-infrared spectroscopy?
    Delhez P; Ho PN; Gengler N; Soyeurt H; Pryce JE
    J Dairy Sci; 2020 Apr; 103(4):3264-3274. PubMed ID: 32037165
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The use of milk Fourier-transform mid-infrared spectroscopy to diagnose pregnancy and determine spectral regional associations with pregnancy in US dairy cows.
    Khanal P; Tempelman RJ
    J Dairy Sci; 2022 Apr; 105(4):3209-3221. PubMed ID: 35151475
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Imputation of missing milk Fourier transform mid-infrared spectra using existing milk spectral databases: A strategy to improve the reliability of breeding values and predictive models.
    Soyeurt H; Wu XL; Grelet C; van Pelt ML; Gengler N; Dehareng F; Bertozzi C; Burchard J
    J Dairy Sci; 2023 Dec; 106(12):9095-9104. PubMed ID: 37678782
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Potential of milk mid-infrared spectra to predict nitrogen use efficiency of individual dairy cows in early lactation.
    Grelet C; Froidmont E; Foldager L; Salavati M; Hostens M; Ferris CP; Ingvartsen KL; Crowe MA; Sorensen MT; Fernandez Pierna JA; Vanlierde A; Gengler N; ; Dehareng F
    J Dairy Sci; 2020 May; 103(5):4435-4445. PubMed ID: 32147266
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Predicting dry matter intake in Canadian Holstein dairy cattle using milk mid-infrared reflectance spectroscopy and other commonly available predictors via artificial neural networks.
    Shadpour S; Chud TCS; Hailemariam D; Oliveira HR; Plastow G; Stothard P; Lassen J; Baldwin R; Miglior F; Baes CF; Tulpan D; Schenkel FS
    J Dairy Sci; 2022 Oct; 105(10):8257-8271. PubMed ID: 36055837
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Estimation of body condition score change in dairy cows in a seasonal calving pasture-based system using routinely available milk mid-infrared spectra and machine learning techniques.
    Frizzarin M; Gormley IC; Berry DP; McParland S
    J Dairy Sci; 2023 Jun; 106(6):4232-4244. PubMed ID: 37105880
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Predicting bovine tuberculosis status of dairy cows from mid-infrared spectral data of milk using deep learning.
    Denholm SJ; Brand W; Mitchell AP; Wells AT; Krzyzelewski T; Smith SL; Wall E; Coffey MP
    J Dairy Sci; 2020 Oct; 103(10):9355-9367. PubMed ID: 32828515
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Short communication: Potential prediction of vitamin B
    Duplessis M; Pellerin D; Girard CL; Santschi DE; Soyeurt H
    J Dairy Sci; 2020 Aug; 103(8):7540-7546. PubMed ID: 32505395
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Usefulness of mid-infrared spectroscopy as a tool to estimate body condition score change from milk samples in intensively fed dairy cows.
    Frizzarin M; Miglior F; Berry DP; Gormley IC; Baes CF
    J Dairy Sci; 2023 Dec; 106(12):9115-9124. PubMed ID: 37641249
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Predicting methane emission in Canadian Holstein dairy cattle using milk mid-infrared reflectance spectroscopy and other commonly available predictors via artificial neural networks.
    Shadpour S; Chud TCS; Hailemariam D; Plastow G; Oliveira HR; Stothard P; Lassen J; Miglior F; Baes CF; Tulpan D; Schenkel FS
    J Dairy Sci; 2022 Oct; 105(10):8272-8285. PubMed ID: 36055858
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Predicting methane emissions of lactating Danish Holstein cows using Fourier transform mid-infrared spectroscopy of milk.
    Shetty N; Difford G; Lassen J; Løvendahl P; Buitenhuis AJ
    J Dairy Sci; 2017 Nov; 100(11):9052-9060. PubMed ID: 28918149
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prediction and validation of residual feed intake and dry matter intake in Danish lactating dairy cows using mid-infrared spectroscopy of milk.
    Shetty N; Løvendahl P; Lund MS; Buitenhuis AJ
    J Dairy Sci; 2017 Jan; 100(1):253-264. PubMed ID: 27865487
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Diagnosing pregnancy status using infrared spectra and milk composition in dairy cows.
    Toledo-Alvarado H; Vazquez AI; de Los Campos G; Tempelman RJ; Bittante G; Cecchinato A
    J Dairy Sci; 2018 Mar; 101(3):2496-2505. PubMed ID: 29290427
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Metabolic profiling of early-lactation dairy cows using milk mid-infrared spectra.
    Luke TDW; Rochfort S; Wales WJ; Bonfatti V; Marett L; Pryce JE
    J Dairy Sci; 2019 Feb; 102(2):1747-1760. PubMed ID: 30594377
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Short communication: Development of an equation for estimating methane emissions of dairy cows from milk Fourier transform mid-infrared spectra by using reference data obtained exclusively from respiration chambers.
    Vanlierde A; Soyeurt H; Gengler N; Colinet FG; Froidmont E; Kreuzer M; Grandl F; Bell M; Lund P; Olijhoek DW; Eugène M; Martin C; Kuhla B; Dehareng F
    J Dairy Sci; 2018 Aug; 101(8):7618-7624. PubMed ID: 29753478
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.