Composite modeling of leaf shape along shoots discriminates Vitis species better than individual leaves
Applications in Plant Sciences2020Vol. 8(12), pp. e11404–e11404
Citations Over TimeTop 10% of 2020 papers
Abigail E. Bryson, Maya Wilson Brown, Joey Mullins, Wei Dong, Keivan Bahmani, Nolan Bornowski, Christina Chiu, Philip Engelgau, Bethany Gettings, Fabio Gómez-Cano, Luke M. Gregory, Anna Haber, Donghee Hoh, Emily E. Jennings, Zhongjie Ji, Prabhjot Kaur, Sunil K. Kenchanmane Raju, Y. F. Long, Serena Lotreck, Davis Mathieu, Thilanka Ranaweera, Eleanore J. Ritter, Rie Sadohara, Robert Z. Shrote, Kaila Smith, Scott J. Teresi, Julian Venegas, Hao Wang, McKena Lipham Wilson, Alyssa R. Tarrant, Margaret H. Frank, Zoë Migicovsky, Jyothi Kumar, Robert VanBuren, Jason P. Londo, Daniel H. Chitwood
Abstract
Observations of individual leaf shape fail to capture the true diversity between species. Composite leaf shape-an assemblage of modeled leaf snapshots across the shoot-is a better representation of the dynamic and essential shapes of leaves, in addition to serving as a better predictor of species identity than individual leaves.
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