Predicting leaf traits of herbaceous species from their spectral characteristics.
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Association Mapping of Total Carotenoids in Diverse Soybean Genotypes Based on Leaf Extracts and High-Throughput Canopy Spectral Reflectance Measurements.Genome-wide association mapping of soybean chlorophyll traits based on canopy spectral reflectance and leaf extracts.Leaf N and P stoichiometry in relation to leaf shape and plant size for Quercus acutissima provenances across ChinaA novel way to understand plant species preferences in relation to groundwater discharge conditions using a trait-based approach
P2860
Predicting leaf traits of herbaceous species from their spectral characteristics.
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article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 14 February 2014
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vedecký článok
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Predicting leaf traits of herbaceous species from their spectral characteristics.
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Predicting leaf traits of herbaceous species from their spectral characteristics.
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Predicting leaf traits of herbaceous species from their spectral characteristics.
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Predicting leaf traits of herbaceous species from their spectral characteristics.
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Predicting leaf traits of herbaceous species from their spectral characteristics.
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Predicting leaf traits of herbaceous species from their spectral characteristics.
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P2093
P2860
P356
P1476
Predicting leaf traits of herbaceous species from their spectral characteristics.
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P2093
Hans D Roelofsen
Jan-Philip M Witte
Lammert Kooistra
P2860
P304
P356
10.1002/ECE3.932
P577
2014-02-14T00:00:00Z