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Fabio Takeshi Matsunaga

Bio: 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.

Papers
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Journal ArticleDOI
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.

18 citations

Journal ArticleDOI
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.
Abstract: Accurate model of structural elements is necessary to model the foliage and fruit distributions in cultivated plants, both of them being key parameters for yield prediction. However, the level of details in architectural data collection could vary, simplifying the data collection when plants get older and because of the high time cost required. In the present study, we aimed at reconstructing and analyzing plant structure, berry distributions and yield in Coffea arabica (Arabica coffee), by using both detailed or partial morphological information and probabilistic functions. Different datasets of coffee plant architectures were available with different levels of detail depending on the tree age. Three scales of decomposition—plant, axes and metamers were used reconstruct the plant architectures. CoffePlant3D, a software which integrates a series of mathematical, computational and statistical methods organized in three newly developed modules, AmostraCafe3D, VirtualCafe3D and Cafe3D, was developed to accurately reconstruct coffee plants in 3D, whatever the level of details available. The number of metamers of the 2nd order axes was shown to be linearly proportional to that of the orthotropic trunk, and the number of berries per metamer was modeled as a Gaussian function within a specific zone along the plagiotropic axes. This ratio of metamer emission rhythm between the orthotropic trunk and plagiotropic axes represents the pillar of botanical events in the C. arabica development and was central in our modeling approach, especially to reconstruct missing data. The methodology proposed for reconstructing coffee plants under the CoffePlant3D was satisfactorily validated across dataset available and could be performed for any other Arabica coffee variety.

18 citations

Journal ArticleDOI
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.

12 citations

Journal ArticleDOI
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.
Abstract: Drought stress is one of the most severe environmental constraints on plant production. Under environmental pressures, complex daily heliotropic adjustments of leaflet angles in soybean can help to reduce transpiration losses by diminishing light interception (paraheliotropism), increase diurnal carbon gain in sparse canopies and reduce carbon gain in dense canopies by solar tracking (diaheliotropism). The plant materials studied were cultivar BR 16 and its genetically engineered isoline P58, ectopically overexpressing AtDREB1A, which is involved in abiotic stress responses. We aimed to follow the movements of central and lateral leaflets in vegetative stages V7-V10 and reproductive stages R4-R5, integrating the reversible morphogenetic changes into an estimate of daily plant photosynthesis using three-dimensional modeling, and to analyze the production parameters of BR 16 and P58. The patterns of daily movements of central leaflets of BR 16 in V7-V10 and R4-R5 were similar, expressing fewer diaheliotropic movements under drought stress than under non-limiting water conditions. Daily heliotropic patterns of lateral leaflets in V7-V10 and R4-R5 showed more diaheliotropic movements in drought-stressed P58 plants than in those grown under non-limiting water conditions. Leaf area in R4-R5 was generally higher in P58 than in BR 16. Drought significantly affected gas exchange and vegetative and reproductive architectural features. DREB1A could be involved in various responses to drought stress. Compared with the parental BR 16, P58 copes with drought through better compensation between diaheliotropic and paraheliotropic 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.

7 citations

Book ChapterDOI
30 Jun 2014
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.
Abstract: The advent in technology in the past few years allowed an improvement in the educational area, as the increasing in the development of educational system. One of the techniques that emerged in this lapse is called Gamification, defined as the utilization of video game mechanics outside its bounds. Researchers in this area found positive results in the application of these concepts in several areas from marketing to education. In education, there are researches that covers from elementary to higher education, with many variations to adequate to the educators methodologies. Among higher education, focusing on IT courses, Data Structures can be considered an important subject to be taught, as they are base for many systems. Based on the exposed this paper describes the development and implementation of an interactive web learning environment, called DSLEP (Data Structure Learning Platform), to support students in higher education IT courses. The system includes basic concepts taught on this discipline as stacks, queues, lists, arrays, trees and was implemented to receive new ones. The system is also implemented with gamification concepts, as points, levels, and leader boards, to motivate students in the learning process and stimulate self-learning.

6 citations


Cited by
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Journal ArticleDOI
TL;DR: In this article, the authors provide new data of crop yields obtained under free-air CO2 enrichment conditions, and discuss predictions on the future of the coffee crop as based on rising temperature and emphasize the role of CO2 as a key player for mitigating harmful effects of supra-optimal temperatures on coffee physiology and bean quality.
Abstract: Coffee, one of the most heavily globally traded agricultural commodities, has been categorized as a highly sensitive plant species to progressive climatic change. Here, we summarize recent insights on the coffee plant’s physiological performance at elevated atmospheric carbon dioxide concentration [CO2]. We specifically (i) provide new data of crop yields obtained under free-air CO2 enrichment conditions, (ii) discuss predictions on the future of the coffee crop as based on rising temperature and (iii) emphasize the role of [CO2] as a key player for mitigating harmful effects of supra-optimal temperatures on coffee physiology and bean quality. We conclude that the effects of global warming on the climatic suitability of coffee may be lower than previously assumed. We highlight perspectives and priorities for further research to improve our understanding on how the coffee plant will respond to present and progressive climate change.

91 citations

Journal ArticleDOI
TL;DR: In this paper, the authors reviewed the research progress in soybean omics (genomics, transcriptomics, epigenomics and proteomics), germplasm development (germplasm resources and databases), gene discovery (genes that are responsible for important soybean traits including yield, flowering and maturity, seed quality, stress resistance, nodulation and domestication) and transformation technology during the past decade.
Abstract: Soybean is one of the most important oilseed and fodder crops. Benefiting from the efforts of soybean breeders and the development of breeding technology, large number of germplasm has been generated over the last 100 years. Nevertheless, soybean breeding needs to be accelerated to meet the needs of a growing world population, to promote sustainable agriculture and to address future environmental changes. The acceleration is highly reliant on the discoveries in gene functional studies. The release of the reference soybean genome in 2010 has significantly facilitated the advance in soybean functional genomics. Here, we review the research progress in soybean omics (genomics, transcriptomics, epigenomics and proteomics), germplasm development (germplasm resources and databases), gene discovery (genes that are responsible for important soybean traits including yield, flowering and maturity, seed quality, stress resistance, nodulation and domestication) and transformation technology during the past decade. At the end, we also briefly discuss current challenges and future directions.

48 citations

Journal ArticleDOI
TL;DR: The proposed KDDM approach is able to provide strong predictions of yields from different types of organs, including leaves, stems, and fruits, even when observational data on the organs are unavailable, and inherits advantages from both the KDM and DDM approaches.

44 citations

Journal ArticleDOI
10 Feb 2015-Sensors
TL;DR: A 4-step approach that can automatically detect and segment stems of tomato plants is proposed, including acquisition and preprocessing of image data, detection of stem segments, removing false detections and automatic segmentation of stem segment segments.
Abstract: This paper is concerned with the digitization and visualization of potted greenhouse tomato plants in indoor environments. For the digitization, an inexpensive and efficient commercial stereo sensor—a Microsoft Kinect—is used to separate visual information about tomato plants from background. Based on the Kinect, a 4-step approach that can automatically detect and segment stems of tomato plants is proposed, including acquisition and preprocessing of image data, detection of stem segments, removing false detections and automatic segmentation of stem segments. Correctly segmented texture samples including stems and leaves are then stored in a texture database for further usage. Two types of tomato plants—the cherry tomato variety and the ordinary variety are studied in this paper. The stem detection accuracy (under a simulated greenhouse environment) for the cherry tomato variety is 98.4% at a true positive rate of 78.0%, whereas the detection accuracy for the ordinary variety is 94.5% at a true positive of 72.5%. In visualization, we combine L-system theory and digitized tomato organ texture data to build realistic 3D virtual tomato plant models that are capable of exhibiting various structures and poses in real time. In particular, we also simulate the growth process on virtual tomato plants by exerting controls on two L-systems via parameters concerning the age and the form of lateral branches. This research may provide useful visual cues for improving intelligent greenhouse control systems and meanwhile may facilitate research on artificial organisms.

33 citations

Journal ArticleDOI
TL;DR: The responses of Arabica coffee grown under long-term exposure to e[CO2] integrated structural and functional modifications, which balanced leaf area loss through improvements in leaf and whole-plant photosynthesis.

32 citations