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Crop and Pasture Science Crop and Pasture Science Society
Plant sciences, sustainable farming systems and food quality

Articles citing this paper

Use of Vis–NIR reflectance data and regression models to estimate physiological and productivity traits in lucerne (Medicago sativa)

M. Garriga https://orcid.org/0000-0002-0176-653X A C , C. Ovalle B , S. Espinoza B , G. A. Lobos A and A. del Pozo A C
+ Author Affiliations
- Author Affiliations

A Centro de Mejoramiento Genético y Fenómica Vegetal, Facultad de Ciencias Agrarias, Universidad de Talca, Talca, Chile.

B Instituto de Investigaciones Agropecuarias, Chile.

C Corresponding author. Email: adelpozo@utalca.cl; mgarriga@utalca.cl

Crop and Pasture Science 71(1) 90-100 https://doi.org/10.1071/CP19182
Submitted: 2 May 2019  Accepted: 8 September 2019   Published: 31 January 2020



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