Assessing durum wheat ear and leaf metabolomes in the field through hyperspectral data

Volume: 102, Issue: 3, Pages: 615 - 630
Published: Jan 10, 2020
Abstract
Summary Hyperspectral techniques are currently used to retrieve information concerning plant biophysical traits, predominantly targeting pigments, water, and nitrogen‐protein contents, structural elements, and the leaf area index. Even so, hyperspectral data could be more extensively exploited to overcome the breeding challenges being faced under global climate change by advancing high‐throughput field phenotyping. In this study, we explore the...
Paper Details
Title
Assessing durum wheat ear and leaf metabolomes in the field through hyperspectral data
Published Date
Jan 10, 2020
Volume
102
Issue
3
Pages
615 - 630
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