نتایج جستجو برای: leaf size classification

تعداد نتایج: 1096513  

Journal: :Current Biology 2016
Moritz Jöst Götz Hensel Christian Kappel Arnis Druka Adrien Sicard Uwe Hohmann Sebastian Beier Axel Himmelbach Robbie Waugh Jochen Kumlehn Nils Stein Michael Lenhard

Variation in the size, shape, and positioning of leaves as the major photosynthetic organs strongly impacts crop yield, and optimizing these aspects is a central aim of cereal breeding [1, 2]. Leaf growth in grasses is driven by cell proliferation and cell expansion in a basal growth zone [3]. Although several factors influencing final leaf size and shape have been identified from rice and maiz...

Journal: :Tree physiology 2014
Jennifer L Schafer Bradley P Breslow Stephanie N Hollingsworth Matthew G Hohmann William A Hoffmann

In resprouting species, fire-induced topkill causes a reduction in height and leaf area without a comparable reduction in the size of the root system, which should lead to an increase in the efficiency of water transport after fire. However, large plants undergo a greater relative reduction in size, compared with small plants, so we hypothesized that this enhancement in hydraulic efficiency wou...

2005

Hydraulic conductance was measured on leaf and stem segments excised from sugarcane plants at different stages of development. Maximum transpiration rates and leaf water potential (V'L) associated with maximum transpiration were also measured in intact plants as a function of plant size. Leaf specific hydraulic conductivity (LsJ and transpiration on a unit leaf area basis (E) were maximal in pl...

2018
R L Baker W F Leong S Welch C Weinig

Predicting phenotypes based on genotypes and understanding the effects of complex multi-locus traits on plant performance requires a description of the underlying developmental processes, growth trajectories, and their genomic architecture. Using data from Brassica rapa genotypes grown in multiple density settings and seasons, we applied a hierarchical Bayesian Function-Valued Trait (FVT) appro...

2016
Robert A. Spicer Jian Yang

The utility of multivariate foliar physiognomy, specifically the Climate Leaf Analysis Multivariate Program (CLAMP), to yield reliable estimates of enthalpy and hence paleoelevation has been demonstrated by comparison with other proxies, yet concerns have arisen regarding uncertainties arising from 1) apparent ambiguities in the scoring regime and 2) the way leaf size is scored. Regarding 1) sc...

2017
Ze-Xin Fan Frank Sterck Shi-Bao Zhang Pei-Li Fu Guang-You Hao

Leaf-stem allometry is an important spectrum that linked to biomass allocation and life history strategy in plants, although the determinants and evolutionary significance of leaf-stem allometry remain poorly understood. Leaf and stem architectures - including stem area/mass, petiole area/mass, lamina area/mass, leaf number, specific leaf area (LA), and mass-based leafing intensity (LI) - were ...

2010
Thibaut Beghin James S. Cope Paolo Remagnino Sarah Barman

This article presents a novel method for classification of plants using their leaves. Most plant species have unique leaves which differ from each other by characteristics such as the shape, colour, texture and the margin. The method introduced in this study proposes to use two of these features: the shape and the texture. The shape-based method will extract the contour signature from every lea...

2010
Zhongyuan Liu Liguo Jia Yanfei Mao Yuke He

Various mutants of Arabidopsis thaliana deficient in polarity, cell division, and auxin response are characterized by certain types of leaf curvature. However, comparison of curvature for clarification of gene function can be difficult without a quantitative measurement of curvature. Here, a novel method for classification and quantification of leaf curvature is reported. Twenty-two mutant alle...

2012
Hongfei Lu Wu Jiang M. Ghiassi Sean Lee Mantri Nitin

Leaf characters have been successfully utilized to classify Camellia (Theaceae) species; however, leaf characters combined with supervised pattern recognition techniques have not been previously explored. We present results of using leaf morphological and venation characters of 93 species from five sections of genus Camellia to assess the effectiveness of several supervised pattern recognition ...

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