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Fernandez Pierna Juan Antonio

Département GxABT

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Main Referenced Co-authors
Gengler, Nicolas  (4)
Baeten, Vincent (3)
Bodson, Bernard  (3)
Dardenne, Pierre (3)
Dehareng, Frédéric  (3)
Main Referenced Keywords
dairy cattle (2); chemometric processing (1); Discrimination (1); environment (1); Fourier-transform mid-infrared spectrometry (1);
Main Referenced Unit & Research Centers
CRA-W (1)
Main Referenced Disciplines
Agriculture & agronomy (4)
Animal production & animal husbandry (3)
Food science (2)
Engineering, computing & technology: Multidisciplinary, general & others (1)
Biotechnology (1)

Publications (total 7)

The most downloaded
340 downloads
Fernandez Pierna, J. A., Vermeulen, P., Eylenbosch, D., Burger, J., Bodson, B., Dardenne, P., & Baeten, V. (2020). Chemometrics in NIR Hyperspectral Imaging: Theory and Applications in the Agricultural Crops and Products Sector. In S. Brown, R. Tauler, ... B. Walczak, Comprehensive Chemometrics Chemical and Biochemical Data Analysis (2ème éd, pp. 361-379). Elsevier. https://hdl.handle.net/2268/252125

The most cited

35 citations (Scopus®)

Grelet, C., Dardenne, P., Soyeurt, H., Fernandez Pierna, J. A., Vanlierde, A., Stevens, F., Gengler, N., & Dehareng, F. (February 2021). Large-scale phenotyping in dairy sector using milk MIR spectra: Key factors affecting the quality of predictions. Methods, 186, 97-111. doi:10.1016/j.ymeth.2020.07.012 https://hdl.handle.net/2268/250304

Grelet, C., Dardenne, P., Soyeurt, H., Fernandez Pierna, J. A., Vanlierde, A., Stevens, F., Gengler, N., & Dehareng, F. (February 2021). Large-scale phenotyping in dairy sector using milk MIR spectra: Key factors affecting the quality of predictions. Methods, 186, 97-111. doi:10.1016/j.ymeth.2020.07.012
Peer Reviewed verified by ORBi

Grelet, C., Froidmont, É., Foldager, L., Salavati, M., Hostens, M., Ferris, C. P. W., Ingvartsen, K. L., Crowe, M. A., Sorensen, M. T., Fernandez Pierna, J. A., Vanlierde, A., Gengler, N., Dehareng, F., & GplusE Consortium (Other coll.). (May 2020). Potential of milk mid-infrared spectra to predict nitrogen use efficiency of individual dairy cows in early lactation. Journal of Dairy Science, 103 (5), 4435-4445. doi:10.3168/jds.2019-17910
Peer Reviewed verified by ORBi

Fernandez Pierna, J. A., Vermeulen, P., Eylenbosch, D., Burger, J., Bodson, B., Dardenne, P., & Baeten, V. (2020). Chemometrics in NIR Hyperspectral Imaging: Theory and Applications in the Agricultural Crops and Products Sector. In S. Brown, R. Tauler, ... B. Walczak, Comprehensive Chemometrics Chemical and Biochemical Data Analysis (2ème éd, pp. 361-379). Elsevier.
Peer reviewed

Grelet, C., Dardenne, P., Soyeurt, H., Vanlierde, A., Fernandez Pierna, J. A., Gengler, N., & Dehareng, F. (2019). New phenotypes from milk MIR spectra: challenges to obtain reliable predictions. In Book of Abstracts of the 70th Annual Meeting of the European Federation of Animal Science (Ghent 2019, pp. 605). Wageningen, Netherlands: Wageningen Academic Publishers.
Peer reviewed

Eylenbosch, D., Baeten, V., Bodson, B., & Fernandez Pierna, J. A. (May 2019). Perspectives offertes par l'imagerie hyperspectrale proche infrarouge dans l'étude de systèmes racinaires de légumineuses. Innovations Agronomiques, 74. doi:10.15454/yaf8pl
Peer Reviewed verified by ORBi

Eylenbosch, D., Baeten, V., Delaplace, P., Dumont, B., Fernandez Pierna, J. A., & Bodson, B. (2018). Mesure de la concentration et de la distribution de la leghémoglobine au sein de nodosités de pois protéagineux par imagerie hyperspectrale proche infrarouge. In M.-B. Magrini (Ed.), Rencontres Francophones Légumineuses #2 - Livre des Résumés (pp. 76).

Colinet, F., Fernandez Pierna, J. A., Dehareng, J., Bertozzi, C., Veselko, D., Sindic, M., Tielemenans, M., & Gengler, N. (2016). Potential use of MIR spectroscopy to assess the origin of milk produced in a PDO area. In Book of Abstracts of the 67th Annual Meeting of the European Federation of Animal Science (Belfast 2016, pp. 291). Wageningen, Netherlands: Wageningen Academic Publishers.
Peer reviewed

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