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Titolo:
MODELING THE BRANCHING GROWTH FRACTAL PATTERN OF THE MAIZE ROOT-SYSTEM
Autore:
SHIBUSAWA S;
Indirizzi:
TOKYO UNIV AGR & TECHNOL,FAC AGR FUCHU TOKYO 185 JAPAN
Titolo Testata:
Plant and soil
fascicolo: 2, volume: 165, anno: 1994,
pagine: 339 - 347
SICI:
0032-079X(1994)165:2<339:MTBGFP>2.0.ZU;2-N
Fonte:
ISI
Lingua:
ENG
Soggetto:
SOIL;
Keywords:
DEVELOPMENT; OBSERVATION LEVEL; ROOT SYSTEM; SOIL DENSITY; STOCHASTIC L-SYSTEM;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Science Citation Index Expanded
Science Citation Index Expanded
Science Citation Index Expanded
Citazioni:
14
Recensione:
Indirizzi per estratti:
Citazione:
S. Shibusawa, "MODELING THE BRANCHING GROWTH FRACTAL PATTERN OF THE MAIZE ROOT-SYSTEM", Plant and soil, 165(2), 1994, pp. 339-347

Abstract

Using the technique of L-systems, a growth model of the maize root system is developed. From the observation of the root systems developed under various soil density in eight root boxes, a spatial hierarchy ofgrowth rules was extracted. The rules were divided into three categories: a meta-rule for describing features of an entire root system, a branching growth rule and a tip elongation rule. Some variations in theentire features of the root system, such as the outline and the root distribution, were confirmed by observation, and then the respective meta-rules were re-defined. The branching properties of first- and second-order lateral roots were statistically almost equal in the observations, and this lead us to set up a single stochastic branching growth rule. Tip elongation movement was not observed here; its rule had to be assumed by reference to data in the literature. A single set of branching growth and tip elongation rules were coupled with the respectivemeta-rules corresponding to the root samples observed, where a small scale rule was loosely governed by a large scale rule. Computer simulations offered optimized drawings of the observed root systems, and they also reproduced a typical anisotropic power distribution of roots similar to those observed.

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Documento generato il 28/01/21 alle ore 06:42:07