Article
Biophysics
Vijaya R. Joshi, Maciej J. Kazula, Jeffrey A. Coulter, Seth L. Naeve, Axel Garcia
Summary: Weather conditions play a crucial role in regulating the growth and yield of crops in rain-fed agricultural systems, as shown in this study on maize and soybean in the US central Corn Belt. The use of support vector machine models with weekly rainfall and average air temperature data proved to be the most accurate for yield estimation compared to other models.
INTERNATIONAL JOURNAL OF BIOMETEOROLOGY
(2021)
Article
Virology
Pablo Reyna, Franco Suarez, Monica Balzarini, Patricia Rodriguez Pardina
Summary: Over the past 20 years, begomoviruses have become devastating pathogens, limiting crop production worldwide. This study evaluates the relationship between begomovirus incidence and weather factors, and identifies temperature and pre-sowing precipitation as important predictors of virus occurrence.
Article
Agronomy
Jiongchao Zhao, Yixuan Wang, Mingyu Zhao, Kaicheng Wang, Shuo Li, Zhenzhen Gao, Xiaoyu Shi, Qingquan Chu
Summary: Although China heavily relies on soybean imports from international markets, there is limited understanding of soybean yield potential and gaps in the Northeast Farming Region (NFR), which is a major soybean producing area in China. Through investigations and modeling, this study revealed the gaps between potential and actual yield in different subregions of NFR, with the total production gap reaching 12.1 million tons in 2020. Closing yield gaps, rather than expanding planting area, could significantly increase regional soybean production and narrow the gaps in the Songliao plain, which plays a crucial role in NFR. These findings have important implications for policy-making, improving soybean production, and ensuring food security in China.
FIELD CROPS RESEARCH
(2023)
Article
Agronomy
R. Mompremier, Y. Her, G. Hoogenboom, K. Migliaccio, R. Munoz-Carpena, Z. Brym, R. W. Colbert, W. Jeune
Summary: The study demonstrated the close relationship between dry bean productivity and water availability, showing that planting dry beans earlier can significantly increase yield. An integrated systems approach can enhance dry bean production by identifying alternative management practices to use water resources more efficiently.
AGRICULTURAL WATER MANAGEMENT
(2021)
Article
Biodiversity Conservation
Jillian M. Deines, Kaiyu Guan, Bruno Lopez, Qu Zhou, Cambria S. White, Sheng Wang, David B. Lobell
Summary: Research suggests that the adoption of cover crops may reduce crop yields, particularly in fields with better soil quality, lower temperatures, and less rainfall. However, in order to achieve widespread adoption and associated benefits, it is necessary to improve cover crop management to minimize yield penalties.
GLOBAL CHANGE BIOLOGY
(2023)
Article
Agronomy
Sam J. Leuthold, Ole Wendroth, Montserrat Salmeron, Hanna Poffenbarger
Summary: Weather and topography are important drivers of spatial variability in crop yield. The relationship between crop yield and these factors shifts with precipitation, with maize generally yielding higher in low-elevation and low-slope landscape positions, and soybean in low-slope positions. Additionally, the impact of precipitation on yield-topography relationships differs between maize and soybean.
FIELD CROPS RESEARCH
(2022)
Article
Geosciences, Multidisciplinary
Yaxu Wang, Juan Lv, Hongquan Sun, Huiqiang Zuo, Hui Gao, Yanping Qu, Zhicheng Su, Xiaojing Yang, Jianming Yin
Summary: Drought risk assessment is essential for drought relief and prevention. This study developed a dynamic agricultural drought risk assessment model and applied it to a case study in Liaoning Province. The results showed that the majority of the province experienced severe drought risk in 2000, with Fuxin and Chaoyang being the most affected areas. The findings provide important insights for implementing drought relief measures and developing drought monitoring systems.
Article
Agronomy
Sandra R. Ethridge, Anna M. Locke, Wesley J. Everman, David L. Jordan, Ramon G. Leon
Summary: Maize and cotton did not show changes in growth and architecture under uniform and variable planting arrangements. Soybeans were more adaptable and increased biomass production by 44% to 45% in variable arrangements. None of the crops exhibited differences in yield based on planting arrangement, suggesting that rows with different densities may not be necessary when using high densities to maximize yield.
Article
Environmental Sciences
Jose R. Lopez, Jonathan M. Winter, Joshua Elliott, Alex C. Ruane, Cheryl Porter, Gerrit Hoogenboom, Martha Anderson, Christopher Hain
Summary: This study integrates a gridded crop model with satellite observations, recharge estimates, and water survey data to assess the effects of sustainable groundwater withdrawals on US irrigated agricultural production. The results show that unsustainable groundwater extraction significantly impacts US irrigated agriculture, making it difficult to meet the challenges of climate change, population growth, and shifting dietary demands.
Article
Agronomy
Wenguang Sun, David Fleisher, Dennis Timlin, Sanai Li, Zhuangji Wang, Sahila Beegum, Vangimalla Reddy
Summary: Crop simulation models are important tools for studying yield impacts, adaptation strategies, and policy analysis. This study evaluated the accuracy of three soybean models and analyzed their responses to climate change factors. The results showed variations among the models, emphasizing the need for a multi-model ensemble approach to assess future crop production under different climate conditions.
EUROPEAN JOURNAL OF AGRONOMY
(2022)
Article
Agriculture, Multidisciplinary
Shezhou Luo, Weiwei Liu, Yaqian Zhang, Cheng Wang, Xiaohuan Xi, Sheng Nie, Dan Ma, Yi Lin, Guoqing Zhou
Summary: This study demonstrates that UAV LiDAR data can successfully estimate maize and soybean heights, with the method based on LiDAR variables producing more accurate estimates than the CHM-based method. Furthermore, the influence of LiDAR point density on crop height estimation precision was found to depend on the specific density values, with higher densities not necessarily leading to higher precision.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2021)
Article
Environmental Sciences
Raizza Zorman Marques, Natalia Wistuba, Julio Cesar Moreria Brito, Vinicius Bernardoni, Daiane Cristina Rocha, Marcelo Pedrosa Gomes
Summary: The use of antibiotics in animal production has led to environmental problems, with antibiotic residues contaminating water resources. Irrigating crops with antibiotic-contaminated water resulted in decreased soybean production, with enrofloxacin and ciprofloxacin found in the tissues of soybean, bean, and corn plants.
ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
(2021)
Article
Environmental Sciences
Siphamandla Daniel, Michael G. Mengistu, Cobus Olivier, Alistair D. Clulow
Summary: The study in the western maize-growing region of South Africa revealed that rainfall patterns directly impact crop yield in rainfed agriculture. Dry-spells during the mid-January-to-end-of-February period significantly affect maize yield as they may coincide with the flowering stage. However, despite a decrease in dry-spell occurrences, the decrease is statistically insignificant.
Article
Agronomy
Ronny Lauerwald, Nicolas Guilpart, Philippe Ciais, David Makowski
Summary: The EU's increasing domestic soybean production to reduce imports could lead to a significant increase in crop water deficits, especially in France, Italy, Hungary, and Romania. This is mainly due to the assumption of shorter root depth for soybean compared to maize.
AGRICULTURAL AND FOREST METEOROLOGY
(2023)
Article
Agronomy
Xiao-Peng Song, Haijun Li, Peter Potapov, Matthew C. Hansen
Summary: This study combines long-term satellite and climate data, municipality-level crop yield statistics, and machine learning models to map soybean yield in Brazil. The models achieved good performance with a high-resolution yield map for 2020, demonstrating their predictive capability for future operational yield mapping.
AGRICULTURAL AND FOREST METEOROLOGY
(2022)
Article
Environmental Sciences
Victoria M. Donovan, Dirac Twidwell, Daniel R. Uden, Tsegaye Tadesse, Brian D. Wardlow, Christine H. Bielski, Matthew O. Jones, Brady W. Allred, David E. Naugle, Craig R. Allen
Article
Agronomy
F. M. Liben, C. S. Wortmann, H. Yang, T. Tadesse, Z. P. Stewart, D. Wegary, W. Mupangwa
Summary: The study aimed to target maize N response functions to seven TED in Ethiopia through CERES-Maize simulation, showing that the CERES-Maize model is most appropriate for well-managed crop production situations in Ethiopia.
Article
Meteorology & Atmospheric Sciences
Akarsh Asoka, Brian Wardlow, Tadesse Tsegaye, Matthew Huber, Vimal Mishra
Summary: The study found that significant greening occurred in agricultural regions of India and Brazil during 2003-2014, while considerable greening also happened in nonagricultural areas of India and China during the same period. Among the hydroclimatic variables, both day-time and night-time land surface temperatures were significant contributors to vegetation growth in two-thirds of global landmass, with terrestrial water storage playing a substantial role in tropical and subtropical regions. Night-time land surface temperature was strongly associated with vegetation growth in colder regions.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2021)
Article
Environmental Sciences
Trenton D. Benedict, Jesslyn F. Brown, Stephen P. Boyte, Daniel M. Howard, Brian A. Fuchs, Brian D. Wardlow, Tsegaye Tadesse, Kirk A. Evenson
Summary: Vegetation monitoring using remote sensing time-series data has been effectively conducted for decades, with focus on drought detection. This study compares the use of eMODIS and eVIIRS for drought monitoring and vegetation anomaly detection, finding consistently high correlations and similar results between the two sources. The study proposes the suitability of VIIRS NDVI as a replacement for MODIS NDVI in future monitoring efforts.
Article
Environmental Sciences
Yared Bayissa, Semu Moges, Assefa Melesse, Tsegaye Tadesse, Anteneh Z. Abiy, Abeyou Worqlul
Summary: Drought is a complex natural hazard characterized by a significant decrease in water availability for a prolonged period. In the Abbay/Upper Blue Nile River basin, different forms of drought (meteorological, agricultural, and hydrological) occur concurrently, leading to a multi-dimensional socio-economic crisis. Regional cooperation and watershed management are essential for multi-dimensional drought mitigation in the basin.
Article
Environmental Sciences
Yared Bayissa, Assefa Melesse, Mahadev Bhat, Tsegaye Tadesse, Andualem Shiferaw
Summary: The study evaluated the performance of different climate models in reproducing climate indices, showing that some models have good skill, which has positive implications for future climate change impact studies and early warning systems for extreme events.
Article
Environmental Sciences
Muhammad Rasool Al-Kilani, Michel Rahbeh, Jawad Al-Bakri, Tsegaye Tadesse, Cody Knutson
Summary: Drought monitoring is crucial for planning, and using remotely sensed precipitation data in conjunction with ground observations can effectively detect extreme meteorological drought events. However, there is a tendency for satellite estimates to overestimate drought intensity in SPI calculation.
EARTH SYSTEMS AND ENVIRONMENT
(2021)
Article
Remote Sensing
Caily Schwartz, W. Lee Ellenburg, Vikalp Mishra, Timothy Mayer, Robert Griffin, Faisal Qamer, Mir Matin, Tsegaye Tadesse
Summary: Drought is a complex phenomenon that affects various sectors globally and is difficult to characterize. This study developed a Composite Drought Index (CDI) to assess droughts in Pakistan and a customized Composite Drought Index (CCDI) specifically for agriculture. Both indices accurately identified agricultural droughts compared to production trends.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2022)
Article
Remote Sensing
Gebeyehu Abebe, Tsegaye Tadesse, Berhan Gessesse
Summary: This study demonstrates the improved accuracy of sugarcane yield estimation through the assimilation of optical and radar remote sensing data into the WOFOST model. Tests conducted in the Wonji-Shoa sugar plantation confirmed that the assimilation of combined Landsat 8 and Sentinel 1A data outperformed independent assimilations of either optical or radar data.
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2022)
Article
Environmental Sciences
Gebeyehu Abebe, Tsegaye Tadesse, Berhan Gessesse
Summary: This study successfully estimated sugarcane yield in the Wonji-Shoa sugarcane plantation in Ethiopia using the SVR approach with L8 and S2A data. Significant correlations were found between sugarcane yield and cumulative VIs computed during the 10th month of the growing season, with better estimation accuracy when using combined data compared to using S2A data alone. SVR outperformed MLPNN and MLR in predicting sugarcane yield, demonstrating its successful application in this study.
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
(2022)
Article
Remote Sensing
Gebeyehu Abebe, Tsegaye Tadesse, Berhan Gessesse
Summary: This study developed a Gaussian Process Regression (GPR) method using optical and synthetic-aperture radar (SAR) data fusion to estimate Leaf Area Index (LAI) and biomass of sugarcane. The results showed that the GPR method based on the fusion of optical and SAR indices provided improved prediction accuracies for LAI and biomass estimation, which could benefit effective crop growth monitoring and mapping applications.
INTERNATIONAL JOURNAL OF IMAGE AND DATA FUSION
(2023)
Article
Plant Sciences
Nicolas Cafaro La Menza, Timothy J. Arkebauer, John L. Lindquist, Juan Pablo Monzon, Johannes M. H. Knops, George Graef, David Scoby, Reka Howard, Jennifer Rees, James E. Specht, Patricio Grassini
Summary: The nitrogen accumulation in soybean leaves exceeds the requirement for growth in early stages, but is still needed to meet seed nitrogen demand in later stages. The decline in radiation use efficiency (RUE) during seed filling can be explained by changes in specific leaf nitrogen (SLN), but SLN fails to predict RUE changes in earlier stages and underestimates the maximum RUE during pod setting.
JOURNAL OF EXPERIMENTAL BOTANY
(2023)
Article
Agronomy
Girma Birru, Andualem Shiferaw, Tsegaye Tadesse, Marty R. Schmer, Virginia L. Jin, Brian Wardlow, Katja Koehler-Cole, Tala Awada, Sarah Beebout, Teferi Tsegaye, Tulsi Kahrel
Summary: Cover crops provide multiple ecosystem services such as improving soil health, reducing nutrient loss, increasing productivity, and mitigating greenhouse gas emission. However, their adoption is hindered by concerns about negative impacts on main crop productivity and additional production costs. This study evaluates the long-term impact of cereal rye on corn yield, soil properties, and water dynamics under different biophysical conditions in Nebraska.
Article
Environmental Sciences
Shimelash Molla Kassaye, Tsegaye Tadesse, Getachew Tegegne, Kindie Engdaw Tadesse
Summary: This study aims to assess the sensitivity of precipitation and temperature dynamics to catchment variability and investigate the relative influence of catchment characteristics on meteorological dynamics. The results indicate that land use/cover change has the greatest influence on precipitation dynamics, while elevation difference affects the variations in maximum and minimum temperature the most.
Article
Geosciences, Multidisciplinary
Mahmoud Osman, Benjamin F. Zaitchik, Hamada S. Badr, Jordan Christian, Tsegaye Tadesse, Jason A. Otkin, Martha C. Anderson
Summary: The study compared multiple flash drought definitions and found that the newly proposed Soil Moisture Volatility Index definition effectively captures flash drought onset. Results also indicate that flash drought frequency, spatial distribution, and seasonality vary depending on the choice of definition.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2021)
Article
Agronomy
Cevat Eser, Suleyman Soylu, Hakan Ozkan
Summary: Drought is a pressing issue worldwide, and selecting wheat genotypes adapted to changing climatic conditions is crucial. This study evaluated 156 bread wheat genotypes, including landraces and modern varieties, under different drought treatments. The results showed that landraces had higher yield stability and protein content under drought stress, suggesting their potential for developing drought-tolerant modern wheat varieties. Effective utilization of landraces in breeding programs is important for developing climate-resilient wheat varieties.
FIELD CROPS RESEARCH
(2024)
Article
Agronomy
Jagdeep Singh, Audrey Gamble, Steve Brown, Todd B. Campbell, Johnie Jenkins, Jenny Koebernick, Paul C. Bartley III, Alvaro Sanz-Saez
Summary: This study evaluated the changes in nutrient uptake, nutrient use efficiency, and yield of 20 cotton cultivars released in the USA between 1953 and 2018. The results showed that modern cotton cultivars have increased total nutrient uptake but slower improvement in nutrient use efficiency. The findings highlight the potential for enhanced nutrient uptake traits in cotton.
FIELD CROPS RESEARCH
(2024)
Article
Agronomy
Elisa Erbetta, Laura Echarte, Maria Eugenia Sanz Smachetti, Nadia Gabbanelli, Maria Mercedes Echarte
Summary: This study investigated the effects of different combinations of photoperiod sensitivity, sweet-stalk, and bmr traits on sorghum biomass yield and allocation, and discussed the implications for bioenergy production.
FIELD CROPS RESEARCH
(2024)
Article
Agronomy
Wenqing Zuo, Baojian Wu, Yuxuan Wang, Shouzhen Xu, Minzhi Chen, Fubin Liang, Jingshan Tian, Wangfeng Zhang
Summary: This study assessed the impact of different row spacing configurations and irrigation amounts on cotton photosynthesis and fiber quality. The results showed that under adequate irrigation, RS76L could be a suitable replacement for RS66+10H to improve fiber quality.
FIELD CROPS RESEARCH
(2024)