共 38 条
DART: a software to analyse root system architecture and development from captured images
被引:99
作者:
Le Bot, Jacques
[1
]
Serra, Valerie
[1
]
Fabre, Jose
[1
]
Draye, Xavier
[2
]
Adamowicz, Stephane
[1
]
Pages, Loic
[1
]
机构:
[1] INRA, UR Plantes & Syst Culture Hort 1115, F-84000 Avignon, France
[2] Univ Catholique Louvain, Fac Ingn Biol Agron & Environm, Unite Ecophysiol & Ameliorat Vegetale AGRO BAPA E, B-1348 Louvain, Belgium
关键词:
Object-oriented computer program;
!text type='Java']Java[!/text;
Digitalization;
Rhizotron;
2D dynamic analysis;
Length;
Branching density;
ELONGATION RATES;
APICAL DIAMETER;
DIGITAL IMAGES;
LATERAL ROOTS;
FINE ROOTS;
GROWTH;
LENGTH;
SEEDLINGS;
TOPOLOGY;
DYNAMICS;
D O I:
10.1007/s11104-009-0005-2
中图分类号:
S3 [农学(农艺学)];
学科分类号:
0901 ;
摘要:
Image analysis is used in numerous studies of root system architecture (RSA). To date, fully automatic procedures have not been good enough to completely replace alternative manual methods. DART (Data Analysis of Root Tracings) is freeware based on human vision to identify roots, particularly across time-series. Each root is described by a series of ordered links encapsulating specific information and is connected to other roots. The population of links constitutes the RSA. DART creates a comprehensive dataset ready for individual or global analyses and this can display root growth sequences along time. We exemplify here individual tomato root growth response to shortfall in solar radiation and we analyse the global distribution of the inter-root branching distances. DART helps in studying RSA and in producing structured and flexible datasets of individual root growth parameters. It is written in JAVA and relies on manual procedures to minimize the risks of errors and biases in datasets.
引用
收藏
页码:261 / 273
页数:13
相关论文