Genetic Diversity in Stomatal Density among Soybeans Elucidated Using High-throughput Technique Based on an Algorithm for Object Detection

The stomatal density (SD) can be a promising target to improve the leaf photosynthesis in soybeans ( Glycine max (L.) Merr). In a conventional SD evaluation, the counting process of the stomata during a manual operation can be time-consuming. We aimed to develop a high-throughput technique for evalu...

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Veröffentlicht in:	Scientific reports Jg. 9; H. 1; S. 7610
Hauptverfasser:	Sakoda, Kazuma, Watanabe, Tomoya, Sukemura, Shun, Kobayashi, Shunzo, Nagasaki, Yuichi, Tanaka, Yu, Shiraiwa, Tatsuhiko
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 20.05.2019 Nature Publishing Group
Schlagworte:	631/449/1734 631/449/1870 631/449/2124 Algorithms Alleles Breeding - methods Deep Learning Genetic diversity Genetic Variation - genetics Genotype Glycine max Glycine max - genetics High-Throughput Screening Assays - methods Humanities and Social Sciences multidisciplinary Photosynthesis Photosynthesis - genetics Plant Leaves - genetics Plant Stomata - genetics Population genetics Science Science (multidisciplinary) Sensors Soybeans Stomata
ISSN:	2045-2322, 2045-2322
Online-Zugang:	Volltext
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