F
Fabio Takeshi Matsunaga
Researcher at Universidade Estadual de Londrina
Publications - 19
Citations - 83
Fabio Takeshi Matsunaga is an academic researcher from Universidade Estadual de Londrina. The author has contributed to research in topics: Coffea arabica & Yerba-mate. The author has an hindex of 4, co-authored 17 publications receiving 63 citations.
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Journal ArticleDOI
Variations in leaf growth parameters within the tree structure of adult Coffea arabica in relation to seasonal growth, water availability and air carbon dioxide concentration.
TL;DR: Leaf growth parameters varied according the position of the axis supporter along the vertical profile, suggesting an effect of axes age and micro-environmental light modulations.
Journal ArticleDOI
Strategies to reconstruct 3D Coffea arabica L. plant structure.
Fabio Takeshi Matsunaga,Jonas Barbosa Tosti,Armando Androcioli-Filho,Jacques Duílio Brancher,Evelyne Costes,Miroslava Rakocevic +5 more
TL;DR: The methodology proposed for reconstructing and analyzing plant structure, berry distributions and yield in Coffea arabica (Arabica coffee) was satisfactorily validated across dataset available and could be performed for any other Arabica coffee variety.
Journal ArticleDOI
Modeling the 3D structure and rhythmic growth responses to environment in dioecious yerba-mate
TL;DR: An individual-based ecological model that incorporates some aspects of growth and development of yerba-mate referent to two cultivation environments – monoculture and forest understory is developed and virtual females were found to be more sensitive to changes of environmental conditions than males.
Journal ArticleDOI
Daily heliotropic movements assist gas exchange and productive responses in DREB1A soybean plants under drought stress in the greenhouse.
Miroslava Rakocevic,Miroslava Rakocevic,Mariele Müller,Fabio Takeshi Matsunaga,Norman Neumaier,José Renato Bouças Farias,Alexandre Lima Nepomuceno,Renata Fuganti-Pagliarini +7 more
TL;DR: Compared with the parental BR 16, P58 copes with drought through better compensation between diaheliotropic and paraheliotropy movements, finer tuning of water-use efficiency, a lower transpiration rate, higher leaf area and higher pod abortion to accomplish the maximum possible grain production under continued drought conditions.
Book ChapterDOI
Interactive Data Structure Learning Platform
Estevan B. Costa,Armando M. Toda,Marcell A. A. Mesquita,Fabio Takeshi Matsunaga,Jacques Duílio Brancher +4 more
TL;DR: The development and implementation of an interactive web learning environment, called DSLEP (Data Structure Learning Platform), to support students in higher education IT courses, and includes basic concepts taught on this discipline as stacks, queues, lists, arrays, trees.