A high-throughput FTIR spectroscopy approach to assess adaptive variation in the chemical composition of pollen.

Zimmermann, Boris; Bagcioglu, Murat; Tafinstseva, Valeria; Kohler, Achim; Ohlson, Mikael; Fjellheim, Siri

Zimmermann, Boris; Bagcioglu, Murat; Tafinstseva, Valeria; Kohler, Achim; Ohlson, Mikael; Fjellheim, Siri.

Afiliação

Zimmermann B; Faculty of Life Science and Technology Norwegian University of Life Sciences Ås Norway.
Bagcioglu M; Faculty of Life Science and Technology Norwegian University of Life Sciences Ås Norway.
Tafinstseva V; Faculty of Life Science and Technology Norwegian University of Life Sciences Ås Norway.
Kohler A; Faculty of Life Science and Technology Norwegian University of Life Sciences Ås Norway.
Ohlson M; Nofima AS Ås Norway.
Fjellheim S; Faculty of Environmental Sciences and Natural Resource Management Norwegian University of Life Sciences Ås Norway.

Ecol Evol ; 7(24): 10839-10849, 2017 12.

Article em En | MEDLINE | ID: mdl-29299262

Palavras-chave

Anthoxanthum; Festuca; Fourier transform infrared spectroscopy; Poa; Poaceae; adaptation; ecology and environmental sciences; flowering; grasses; sparse partial leastsquares regression

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Ecol Evol Ano de publicação: 2017 Tipo de documento: Article País de publicação: Reino Unido

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