A Non-destructive Method to Quantify Leaf Starch Content in Red Clover.

Frey, Lea Antonia; Baumann, Philipp; Aasen, Helge; Studer, Bruno; Kölliker, Roland

Frey, Lea Antonia; Baumann, Philipp; Aasen, Helge; Studer, Bruno; Kölliker, Roland.

Afiliación

Frey LA; Molecular Plant Breeding, Institute of Agricultural Sciences, ETH Zurich, Zurich, Switzerland.
Baumann P; Sustainable Agroecosystems, Institute of Agricultural Sciences, ETH Zurich, Zurich, Switzerland.
Aasen H; Crop Science, Institute of Agricultural Sciences, ETH Zurich, Zurich, Switzerland.
Studer B; Molecular Plant Breeding, Institute of Agricultural Sciences, ETH Zurich, Zurich, Switzerland.
Kölliker R; Molecular Plant Breeding, Institute of Agricultural Sciences, ETH Zurich, Zurich, Switzerland.

Front Plant Sci ; 11: 569948, 2020.

Article en En | MEDLINE | ID: mdl-33178239

Palabras clave

forage quality; grassland; hyperspectral imaging; partial least square regression; red clover; starch content

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Front Plant Sci Año: 2020 Tipo del documento: Article País de afiliación: Suiza Pais de publicación: Suiza

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