Article
Agronomy
Elijah Gichuru, Getrude Alwora, James Gimase, Cecilia Kathurima
Summary: Coffee is a significant cash crop and beverage globally, but its production is constrained by factors like Coffee Leaf Rust disease caused by the fungus Hemileia vastatrix. Kenya, a major coffee-producing country, has implemented various management strategies to control the disease.
Article
Biochemistry & Molecular Biology
Andrzej Wojtowicz, Jan Piekarczyk, Bartosz Czernecki, Henryk Ratajkiewicz
Summary: The study focuses on identifying and distinguishing leaf rust symptoms caused by different forms of Puccinia recondita on wheat and rye leaves through pure spectral measurements. The Random Forest models tested with pure spectra revealed that CRI, PRI and GNDVI were the most robust vegetation indices for distinguishing disease symptoms on wheat and rye leaves.
JOURNAL OF PHOTOCHEMISTRY AND PHOTOBIOLOGY B-BIOLOGY
(2021)
Article
Agronomy
Analis da Silva Soares, Bruno Sergio Vieira, Thalita Almeida Bezerra, George Deroco Martins, Ana Carolina Silva Siquieroli
Summary: This paper proposes a method for early detection of coffee leaf rust using multispectral images acquired using a UAV and a camera. The method was able to accurately distinguish infected coffee seedlings at an asymptomatic stage (15 days after inoculation) with a detection accuracy of 80%. The early detection using low-cost technology can be an important tool for monitoring and managing coffee leaf rust.
Review
Agronomy
Mario L. de Resende, Edson A. Pozza, Tharyn Reichel, Deila M. S. Botelho
Summary: Organic coffee is an economically important crop globally, but faces challenges in disease management, particularly coffee rust. Effective disease management strategies include using rust-resistant cultivars, cultural management, biological control, use of plant extracts, and chemical rust control. This review aims to provide insight for researchers and producers seeking alternative strategies to control rust in organic coffee cultivation systems.
Article
Development Studies
Samuel I. Dupre, Celia A. Harvey, Margaret B. Holland
Summary: This study investigates the impacts of climate change-driven coffee leaf rust on smallholder coffee farmers' livelihoods and migration decisions in eastern Guatemala. The study finds that coffee farming households lost an average of 71% of their coffee production during their worst year of CLR impact. Coffee leaf rust led to a doubling of household migration rates. However, households with greater access to information had lower migration rates.
Article
Multidisciplinary Sciences
Stephanie Gagliardi, Jacques Avelino, Adam E. Martin, Marc Cadotte, Elias de Melo Virginio Filho, Marney Isaac
Summary: Research shows that plant responses to environmental variability depend on intraspecific functional trait variation. However, there is limited research on how trait variation changes due to plant pathogens, despite their importance in plant demography and diversity. This study explores the correlation between leaf traits and foliar disease severity in coffee plants, providing evidence of shifts in functional trait relationships in response to increased disease prevalence.
Article
Plant Sciences
Jacques Avelino, Stephanie Gagliardi, Ivette Perfecto, Marney E. Isaac, Theresa Liebig, John Vandermeer, Isabelle Merle, Zachary Hajian-Forooshani, Natacha Motisi
Summary: Integrating trees into agricultural systems provides valuable ecosystem services but can also interact with plant diseases. Understanding the interaction between plant diseases and trees in agroforestry systems is necessary to identify key tree characteristics, leaf traits, spatial arrangements, and management options to control plant diseases. This study focuses on the impact of trees on coffee leaf rust, demonstrating that trees can both promote and discourage the development of the disease at different scales. The findings suggest specific canopy characteristics and leaf traits that can help manage coffee leaf rust at the plot scale, as well as the importance of trees in reducing disease at the landscape scale.
Review
Agronomy
Athina Koutouleas, David B. Collinge, Eric Boa
Summary: This article highlights past and present events regarding coffee leaf rust, including its historical spread, recent epidemic hypotheses, management options, and its relationship with climate change. Understanding past events related to CLR can help better prepare for future outbreaks.
Article
Environmental Sciences
Anting Guo, Wenjiang Huang, Yingying Dong, Huichun Ye, Huiqin Ma, Bo Liu, Wenbin Wu, Yu Ren, Chao Ruan, Yun Geng
Summary: This study utilized UAV-based hyperspectral images to monitor yellow rust disease at the field scale, and found that the VI-TF-based models had the highest accuracy in each infection period, outperforming other models. Spatial resolution significantly influenced the monitoring accuracy of TF-based models, while having a negligible impact on VI-based monitoring accuracy. The optimal spatial resolution for monitoring yellow rust using the VI-TF-based model in each infection period was found to be 10 cm.
Article
Agronomy
Gustavo Hiroshi Sera, Carlos Henrique Siqueira de Carvalho, Juliana Costa de Rezende Abrahao, Edson Ampelio Pozza, Jose Braz Matiello, Saulo Roque de Almeida, Lucas Bartelega, Deila Magna dos Santos Botelho
Summary: This review provides an overview of coffee leaf rust (CLR) in Brazil, covering its historical introduction, control measures, environmental conditions, breeding methods, resistance levels, resistant cultivar development, and chemical control methods. Brazil has developed numerous cultivars with varying levels of resistance and increased the planting of new resistant cultivars.
Article
Agriculture, Multidisciplinary
Diego Bedin Marin, Gabriel Araujo e Silva Ferraz, Lucas Santos Santana, Brenon Diennevan Souza Barbosa, Rafael Alexandre Pena Barata, Lucas Prado Osco, Ana Paula Marques Ramos, Paulo Henrique Sales Guimaraes
Summary: Utilizing unmanned aerial vehicles (UAVs) images and machine learning techniques to process vegetation indices shows promise in detecting the severity of coffee leaf rust (CLR), aiding in disease management and reducing associated losses. The decision tree-based model, particularly the Logistic Model Tree (LMT) method, proves to be effective in accurately predicting early and later stages of CLR infestation.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2021)
Article
Geography
Diana Cordoba, Jennifer Wiegel, Carolina Gonzalez, Byron Reyes
Summary: This paper examines how differences in each country's 'embedded autonomy' affected the management of the 2012 coffee leaf rust (CLR) epidemic, resulting in varying responses. The study found that oligarchic control and weak state-farmer relationships hindered effective crisis response in El Salvador and Nicaragua, while Honduras, with its developmental state approach, performed better. The paper highlights the critical role of a state's embedded autonomy in managing CLR crises and supporting farmers.
JOURNAL OF RURAL STUDIES
(2023)
Article
Multidisciplinary Sciences
Gerba Daba, Gezahegn Berecha, Bart Lievens, Kitessa Hundera, Kenny Helsen, Olivier Honnay
Summary: This study assessed the infection of coffee leaf rust (CLR) in Ethiopian coffee agroforestry systems with different management intensities. It found that semi-forest coffee systems (SFC) had significantly higher CLR infection rates. Lower canopy cover and human impact partly explained the higher infection in SFC systems. Reduced wind speed and droplet penetration under closed canopies, as well as reduced human-facilitated spore dispersal, were suggested as the dominant mechanisms behind lower CLR infection in forest coffee (FC) systems.
Article
Plant Sciences
Kevin Li, Zachary Hajian-Forooshani, John Vandermeer, Ivette Perfecto
Summary: The coffee leaf rust disease caused by Hemileia vastatrix is an economically significant phytopathogen. Our experiment confirmed that splash from infected leaf litter can lead to H. vastatrix dispersal and infection. Coffee plants with infected litter became infected sooner and had a higher infection rate compared to control plants without infected litter. Further research should investigate the dynamics of leaf litter splash for coffee leaf rust disease in the field.
JOURNAL OF PLANT PATHOLOGY
(2023)
Review
Plant Sciences
Maricela Santiago-Santiago, Gabriela Sanchez-Viveros, Luis Hernandez-Adame, Cesar Josue Chiquito-Contreras, Alejandro Salinas-Castro, Roberto Gregorio Chiquito-Contreras, Luis Guillermo Hernandez-Montiel
Summary: Coffee leaf rust is a disease that significantly affects the coffee industry, reducing yield by up to 60%. This study provides insights into the current framework of the disease, its impact on various areas, and the effectiveness of biological control systems.
Article
Geosciences, Multidisciplinary
Ralph D. Lorenz, Masataka Imai, Yukihiro Takahashi, Mitsuteru Sato, Atsushi Yamazaki, Takao M. Sato, Takeshi Imamura, Takehiko Satoh, Masato Nakamura
GEOPHYSICAL RESEARCH LETTERS
(2019)
Article
Astronomy & Astrophysics
Ryo Okazaki, Tomohiko Sekiguchi, Masateru Ishiguro, Hiroyuki Naito, Seitaro Urakawa, Masataka Imai, Tatsuharu Ono, Brian D. Warner, Makoto Watanabe
PLANETARY AND SPACE SCIENCE
(2020)
Article
Geochemistry & Geophysics
Masataka Imai, Toru Kouyama, Yukihiro Takahashi, Atsushi Yamazaki, Shigeto Watanabe, Manabu Yamada, Takeshi Imamura, Takehiko Satoh, Masato Nakamura, Shin-ya Murakami, Kazunori Ogohara, Takeshi Horinouchi
JOURNAL OF GEOPHYSICAL RESEARCH-PLANETS
(2019)
Article
Materials Science, Multidisciplinary
Takafumi Ishibe, Yoshiki Maeda, Tsukasa Terada, Nobuyasu Naruse, Yutaka Mera, Eiichi Kobayashi, Yoshiaki Nakamura
SCIENCE AND TECHNOLOGY OF ADVANCED MATERIALS
(2020)
Article
Nanoscience & Nanotechnology
Tatsuhiko Taniguchi, Takafumi Ishibe, Nobuyasu Naruse, Yutaka Mera, Md Mahfuz Alam, Kentarou Sawano, Yoshiaki Nakamura
ACS APPLIED MATERIALS & INTERFACES
(2020)
Article
Physics, Applied
Takafumi Ishibe, Yuto Uematsu, Nobuyasu Naruse, Yutaka Mera, Yoshiaki Nakamura
APPLIED PHYSICS LETTERS
(2020)
Article
Remote Sensing
Asahi Hashimoto, Hendrik Segah, Nina Yulianti, Nobuyasu Naruse, Yukihiro Takahashi
Summary: Traditional fire risk prediction using vegetation indexes is not suitable due to the time lag in changes in soil moisture caused by plant drought stress. A new index based on satellite remote sensing data for estimating peat soil moisture was developed and showed a relatively strong correlation with real wildfire points, making it a more reliable index for fire risk management.
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2021)
Article
Chemistry, Multidisciplinary
Kumiko Nishinaka, Jiandong Han, Dongli Han, Yue Liu, Yanqing Du, Meiling Wang, Chaolu Eerdun, Nobuyasu Naruse, Yutaka Mera, Yoshio Furusho, Akihiko Tsuda
FRONTIERS IN CHEMISTRY
(2020)
Article
Chemistry, Analytical
Masataka Imai, Junichi Kurihara, Toru Kouyama, Toshinori Kuwahara, Shinya Fujita, Yuji Sakamoto, Yuji Sato, Sei-Ichi Saitoh, Takafumi Hirata, Hirokazu Yamamoto, Yukihiro Takahashi
Summary: Utilizing the Moon as a reference source for radiometric calibration, especially on microsatellites, can effectively evaluate the performance of optical sensors onboard satellites orbiting the Earth. This study shows that lunar calibration can address sensor sensitivity issues and correct sensitivity trends in the visible range.
Article
Environmental Sciences
Emmanuel (Manos) Kardasis, Javier Peralta, Grigoris Maravelias, Masataka Imai, Anthony Wesley, Tiziano Olivetti, Yaroslav Naryzhniy, Luigi Morrone, Antonio Gallardo, Giovanni Calapai, Joaquin Camarena, Paulo Casquinha, Dzmitry Kananovich, Niall MacNeill, Christian Viladrich, Alexia Takoudi
Summary: This article reports on the cloud discontinuity phenomenon on Venus and characterizes its properties using near-infrared images. The discontinuity is associated with significant changes in cloud opacity and aerosol distribution, and it plays a crucial role in understanding the thermal balance and atmospheric circulation of Venus.
Article
Geochemistry & Geophysics
Anna Suzuki, Masahiro Takagi, Hiroki Ando, Masataka Imai, Norihiko Sugimoto, Yoshihisa Matsuda
Summary: The thermal tides in the Venusian atmosphere are strongly affected by the static stability, leading to changes in their vertical structure and horizontal distribution. These thermal tides play a significant role in maintaining the circulation of the Venusian atmosphere.
JOURNAL OF GEOPHYSICAL RESEARCH-PLANETS
(2022)
Article
Horticulture
Keita Goto, Shin Yabuta, Shotaro Tamaru, Peter Ssenyonga, Bore Emanuel, Naoya Katsuhama, Jun-Ichi Sakagami
Summary: Root hypoxia and intense light stress reduce photosynthetic capacity and efficiency, and promote leaf abscission. Leaf position significantly influences leaf senescence caused by oxidative stress, and stress interactions induce abscission in lower leaves.
SCIENTIA HORTICULTURAE
(2022)
Article
Chemistry, Multidisciplinary
Tatsuhiko Taniguchi, Tsukasa Terada, Yuki Komatsubara, Takafumi Ishibe, Kento Konoike, Atsushi Sanada, Nobuyasu Naruse, Yutaka Mera, Yoshiaki Nakamura
Summary: Phonon transport in nano-systems has been studied using nanostructured materials, revealing interesting behaviors like ballistic phonon transport. A drastic reduction in thermal conductivity was observed in films containing nanodots, with different materials showing peculiar effects on thermal resistance. Additionally, phonon simulation results show non-diffusive transport in nanostructured Si films and low thermal conductivity in SiGe films due to alloy and nanodot scattering.
Article
Instruments & Instrumentation
Jinfeng Yang, Kazuki Gen, Nobuyasu Naruse, Shouichi Sakakihara, Yoichi Yoshida
QUANTUM BEAM SCIENCE
(2020)
Article
Chemistry, Physical
Shunya Sakane, Takafumi Ishibe, Tatsuhiko Taniguchi, Nobuyasu Naruse, Yutaka Mera, Takeshi Fujita, Md. Mahfuz Alam, Kentarou Sawano, Nobuya Mori, Yoshiaki Nakamura
MATERIALS TODAY ENERGY
(2019)
