Article
Agronomy
Endre Bela Kovacs, Zita Dorner, David Csik, Mihaly Zalai
Summary: Pea is a widely cultivated leguminous plant that contributes to soil enrichment and crop rotations. Managing weed populations is crucial for pea production, and factors such as soil parameters, environmental influences, and management practices play a significant role in weed composition. Our study identified common weed species and revealed the influence of soil type, farming system, and data collection year on weed infestation.
Article
Agriculture, Multidisciplinary
Zhaohui Du, Li Yang, Dongxing Zhang, Tao Cui, Xiantao He, Tianpu Xiao, Chunji Xie, Hongsheng Li
Summary: Variable-rate seeding technology adjusts seeding rate based on crop growth environment, improving yield and resource utilization. This study establishes a corn yield prediction model based on soil, weather, and management data, and develops innovative seeding rate decision rules.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Article
Plant Sciences
Lina Sarunaite, Monika Toleikiene, Ausra Arlauskiene, Kristyna Razbadauskiene, Irena Deveikyte, Skaidre Suproniene, Roma Semaskiene, Zydre Kadziuliene
Summary: The study investigated the effects of new Pisum sativum cultivars in a mixed cropping system with Avena sativa. It found that the new pea cultivars had higher aboveground biomass and total grain yield compared to the control cultivar. The cultivar 'Egle DS' had a greater effect on protein content. These findings highlight the potential of optimizing pea cultivar mixtures with cereals to improve yield in organic mixed cropping systems.
Article
Agriculture, Multidisciplinary
Garrison J. Gundy, J. Anita Dille
Summary: Soil application of pre-emergence herbicides is crucial for grain sorghum production, but adsorption and soil texture variations can impact effectiveness. Variable rate applications (VRA) using high-resolution SOM and texture data with herbicide algorithms can enhance weed control outcomes.
PRECISION AGRICULTURE
(2022)
Article
Agriculture, Multidisciplinary
Stephanie Lavergne, Anne Vanasse, Marie-Noelle Thivierge, Caroline Halde
Summary: In this study, the aboveground and belowground biomass as well as yield stability of pea-based cover crop mixtures were evaluated. Pure stand of field pea had the highest aboveground biomass but lowest belowground biomass and stability, while mixtures showed higher stability and potential soil-related ecosystem services. The study highlights the importance of cover crop mixtures over pure stands in maximizing ecosystem services.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2021)
Article
Agronomy
Elana Dayoub, Guillaume Piva, Steven J. Shirtliffe, Joelle Fustec, Guenaelle Corre-Hellou, Christophe Naudin
Summary: Introducing frost-sensitive legume species into oilseed rape cropping systems can increase crop trait diversity, improve weed suppression, and enhance crop productivity. Intercropping oilseed rape with faba bean reduces weed biomass and nitrogen accumulation, while enhancing crop growth and competitive ability. Furthermore, oilseed rape-faba bean intercrops have three times higher grain yield and plant numbers compared to oilseed rape sole crops.
Article
Agronomy
Heidi K. Reed, Heather D. Karsten
Summary: This study investigated the effects of manipulating winter cereal rye seeding rate and spring nitrogen topdress rate on delayed cover crop termination. The results showed that planting green significantly increased rye biomass and had some effects on soil conditions. However, when paired with high nitrogen rate, it may reduce soybean yield.
Article
Agronomy
Veronica L. Yurchak, Alan W. Leslie, Cerruti R. R. Hooks
Summary: Modern vegetable production often uses monoculture fields, intensive tillage, and synthetic agrochemicals to manage weeds. However, there is a growing interest in sustainable practices with lower inputs. This study investigated the use of conservation tillage with interplanted living mulch or cover crop residue as an alternative weed management strategy for sweet corn. The results showed that the cover crop systems effectively suppressed weeds throughout the cropping cycle, and there was no significant improvement with the application of herbicides. However, reduced yields were observed in the cover crop treatments compared to conventional tillage in the third year.
Article
Agronomy
Kipling S. Balkcom, Quentin D. Read, Audrey V. Gamble
Summary: Management is key to optimizing cover crop benefits and costs. The study investigated the impact of planting dates, seeding rates, and nitrogen rates on rye biomass production, nitrogen uptake, C:N ratio, biomass value, cash crop yields, and soil organic C in a peanut/cotton rotation. Results showed that early planting dates resulted in higher biomass production, while nitrogen increased biomass production but decreased total biomass amounts. Planting date had a greater impact on the C:N ratio than nitrogen rates. The study emphasized the importance of planting date for improving cover crop performance and return on investment for growers in the southeastern United States.
Article
Multidisciplinary Sciences
Alan Lee, Patrick Neuberger, Akim Omokanye, Guillermo Hernandez-Ramirez, Keunbae Kim, Monika A. Gorzelak
Summary: This study explored the effects of oat-pea intercropping and N fertilizer addition on arbuscular mycorrhizal fungal diversity, and identified the most common AMF genera recruited for oats and peas in two growing seasons. The results showed that intercropping increased AMF diversity compared to monocropping. The effects of N fertilizer addition on AMF richness varied with different crops and growing seasons. Diversispora and Claroideoglomus were found to be significant indicators of root associated AMF community in pea and oat, respectively, under intercropping conditions.
SCIENTIFIC REPORTS
(2023)
Article
Agronomy
Yanben Shen, Lena D. Syrovy, Eric N. Johnson, Thomas D. Warkentin, Thuan Ha, Devini de Silva, Steven J. Shirtliffe
Summary: In mixed cultivation, a semi-leafless pea ratio exceeding 67% is more effective in resisting lodging, an 83:17 mixture ratio reduces Mycosphaerella blight and Uromyce viciae fabae rust diseases severity by 4%, and an 86:14 ratio provides an 11% yield increase.
Article
Agronomy
Ram B. Khadka, Andres D. Sanabria-Velazquez, John Cardina, Sally A. Miller
Summary: This study investigated the efficacy of anaerobic soil disinfestation (ASD) with different carbon sources on inactivation of weed propagules. The results showed that wheat bran was the most effective carbon source, effectively suppressing weed seed germination and viability. This approach could be adopted for weed management in organic systems or any farming system where environmentally sustainable practices are prioritized.
Article
Agriculture, Multidisciplinary
Egidijus Sarauskis, Marius Kazlauskas, Indre Bruciene, Vilma Naujokiene, Kestutis Romaneckas, Sidona Buragiene, Dainius Steponavicius, Abdul Mounem Mouazen
Summary: Precision seeding is important for smart agriculture, as it increases the efficiency of winter wheat production. This study compared the site-specific-seeding (SSS) method with the conventional uniform rate seeding (URS) method and found that SSS resulted in higher grain yield and yield components compared to URS. This approach also led to higher gross margin in cost-benefit analysis.
PRECISION AGRICULTURE
(2023)
Article
Agronomy
Sami Ullah Khan, Xiukang Wang, Tariq Mehmood, Sohail Latif, Saftain Ullah Khan, Sajid Fiaz, Abdul Qayyum
Summary: The use of mulching materials can effectively suppress weed growth in wheat fields, reducing weed density, increasing plant biomass, and showing economic benefits. Sugarcane bagasse and grass clippings are identified as potential sources for controlling weeds in wheat with minimal production costs.
Article
Soil Science
Binh Thanh Nguyen, Vinh Ngoc Nguyen, Tong Xuan Nguyen, My Hoang Nguyen, Hao Phu Dong, Gai Dai Dinh, Nghia Van Nguyen, Tan-Viet Pham
Summary: Biochar can either boost or suppress rice growth, depending on the ratios of carbon and nitrogen and available nitrogen to available phosphorous. The response of rice growth to biochar application follows an exponential-growth function in high organic carbon (OC) soil, while an inverted U-shaped curve in low OC soil. The optimal C:N ratio for highest rice growth is between 20 and 30. Biochar can increase total biomass, but may also cause nitrogen deficiency. The applied biochar rate should be determined based on soil properties for optimal rice growth.
SOIL USE AND MANAGEMENT
(2023)
Article
Agronomy
Oleksandr S. Alba, Lena D. Syrovy, Hema S. N. Duddu, Steven J. Shirtliffe
FIELD CROPS RESEARCH
(2020)
Article
Agronomy
Breanne D. Tidemann, K. Neil Harker, Eric N. Johnson, Christian J. Willenborg, Steve J. Shirtliffe
Article
Agronomy
Dilshan Benaragama, Steven J. Shirtliffe
Article
Remote Sensing
Keshav D. Singh, Hema S. N. Duddu, Sally Vail, Isobel Parkin, Steve J. Shirtliffe
Summary: Identification of optimal pod maturity stage in Canola is essential for maximizing seed yield and quality. Hyperspectral imaging was used to estimate seed maturity, and a new Canola-Pod-Maturity Index (CPMI) showed strong correlations with pod and seed moisture across different genotypes. This new index has the potential to differentiate genotypes with varying maturity times.
CANADIAN JOURNAL OF REMOTE SENSING
(2021)
Article
Agronomy
Breanne D. Tidemann, K. Neil Harker, Steve J. Shirtliffe, Christian J. Willenborg, Eric N. Johnson, Elizabeth Sroka, Jennifer Zuidhof, Hema Duddu
Summary: The study aimed to manage wild oat by exploiting the height differential between wild oat and crops at different growth stages. The early application of herbicide showed the most effective control over wild oat populations.
Article
Environmental Sciences
Masoomeh Aslahishahri, Kevin G. Stanley, Hema Duddu, Steve Shirtliffe, Sally Vail, Ian Stavness
Summary: This study evaluated the performance of three deep learning-based super resolution models in enhancing low resolution crop images, with results showing that models trained with real-world datasets can reconstruct higher-fidelity outputs, better suited for measuring plant phenotypes.
Article
Plant Sciences
Ti Zhang, Sally Vail, Hema S. N. Duddu, Isobel A. P. Parkin, Xulin Guo, Eric N. Johnson, Steven J. Shirtliffe
Summary: Phenotyping crop performance is crucial for plant breeding. Utilizing vegetation indices and aerial imagery from UAVs can effectively estimate canola flower numbers and develop models for predicting canola seed yield. The normalized difference yellowness index (NDYI) and flowering pixel numbers extracted from imagery over time show promise in predicting canola yield.
FRONTIERS IN PLANT SCIENCE
(2021)
Article
Soil Science
P. T. Sorenson, S. J. Shirtliffe, A. K. Bedard-Haughn
Summary: There is an increasing need for detailed soil property maps to support various applications in the Canadian Prairies. This study used bare soil composite imagery and historical soil data to predict soil organic carbon, clay, and cation exchange capacity, with valuable results indicating the importance of bare soil composite imagery for predictive soil mapping.
Article
Environmental Sciences
Thuan Ha, Yanben Shen, Hema Duddu, Eric Johnson, Steven J. Shirtliffe
Summary: This study estimates hail damage to crops in the Canadian Prairies using vegetation indices calculated from Sentinel-2 images. The temporal changes in vegetation indices were found to correlate well with ground estimates of hail damage.
Article
Environmental Sciences
Thuan Ha, Hema Duddu, Kirstin Bett, Steve J. Shirtliffe
Summary: This study introduces a semi-automatic workflow to segment irregularly aligned plots and sub-plots in plant breeding populations. Through the use of image-based techniques and multiple segmentation methods, plots and sub-plots were successfully extracted, providing opportunities to enhance the accuracy of image-based phenotypic measurements.
Article
Agronomy
Sara Mardanisamani, Tewodros W. Ayalew, Minhajul Arifin Badhon, Nazifa Azam Khan, Gazi Hasnat, Hema Duddu, Steve Shirtliffe, Sally Vail, Ian Stavness, Mark Eramian
Summary: Automated analysis of aerial crop images is an attractive alternative to manual inspection for developing new crop varieties and monitoring plant growth, health, and traits. The major steps in performing phenotypic analysis on per-microplot level include localizing and detecting individual microplots in an orthomosaic image of a field. The algorithm successfully detects and localizes microplots through a three-level hierarchical optimization method.
Proceedings Paper
Computer Science, Artificial Intelligence
Masoomeh Aslahishahri, Kevin G. Stanley, Hema Duddu, Steve Shirtliffe, Sally Vail, Kirstin Bett, Curtis Pozniak, Ian Stavness
Summary: Near infrared spectroscopy (NIR) provides valuable information for agricultural operations, with image-to-image translation being investigated as a method to generate an NIR spectral band from RGB images in aerial crop imagery.
2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW 2021)
(2021)
Article
Multidisciplinary Sciences
Navid Bazghaleh, Jennifer K. Bell, Steven D. Mamet, Zayda Morales Moreira, Zelalem M. Taye, Shanay Williams, Charlotte Norris, Tanner Dowhy, Melissa Arcand, Eric G. Lamb, Matthew Links, Steve Shirtliffe, Sally Vail, Steven D. Siciliano, Bobbi Helgason
Article
Multidisciplinary Sciences
Navid Bazghaleh, Steven D. Mamet, Jennifer K. Bell, Zayda Morales Moreira, Zelalem M. Taye, Shanay Williams, Melissa Arcand, Eric G. Lamb, Steve Shirtliffe, Sally Vail, Steven D. Siciliano, Bobbi Helgason
Article
Agronomy
Dilshan Benaragama, Julia L. Leeson, Steve J. Shirtliffe