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Hyperspectral reflectance-based phenotyping for quantitative genetics in crops: Progress and challenges.
Grzybowski, Marcin; Wijewardane, Nuwan K; Atefi, Abbas; Ge, Yufeng; Schnable, James C.
Affiliation
  • Grzybowski M; Center for Plant Science Innovation and Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE, USA.
  • Wijewardane NK; Department of Plant Molecular Ecophysiology, Institute of Plant Experimental Biology and Biotechnology, Faculty of Biology, University of Warsaw, Warsaw, Poland.
  • Atefi A; Department of Biological Systems Engineering, University of Nebraska-Lincoln, Lincoln, NE, USA.
  • Ge Y; Department of Agricultural Biological Engineering, Mississippi State University, Starkville, MS, USA.
  • Schnable JC; Department of Biological Systems Engineering, University of Nebraska-Lincoln, Lincoln, NE, USA.
Plant Commun ; 2(4): 100209, 2021 07 12.
Article in En | MEDLINE | ID: mdl-34327323
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Phenotype / Crops, Agricultural / Zea mays / Plant Breeding / Hyperspectral Imaging / Genetics Type of study: Prognostic_studies Language: En Journal: Plant Commun Year: 2021 Document type: Article Affiliation country: Estados Unidos Country of publication: China
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Phenotype / Crops, Agricultural / Zea mays / Plant Breeding / Hyperspectral Imaging / Genetics Type of study: Prognostic_studies Language: En Journal: Plant Commun Year: 2021 Document type: Article Affiliation country: Estados Unidos Country of publication: China