As precision agriculture technologies spread, on-farm experimentation has become increasingly common, generating vast amounts of data that require advanced analytical approaches. Researchers are now using statistical methods like linear mixed models and Bayesian approaches to handle the complexity of real-world data, enabling farmers t...
A new study by Cornell researchers explores strategies for coping with rising heat in wine grape cultivation. The team found that consumers are willing to pay a premium for wines made from heat-tolerant varieties or produced using climate-adaptive technologies, such as shade cloth.
A study combining citizen science data with experimental research found that switchgrass adapts its flowering time to optimize survival in different regions. The work highlights the potential of pairing public data sets with controlled experiments to uncover mechanisms of adaptation.
Researchers found that adding organic matter can increase soil resistance to heat waves and preserve phosphorus reserves. Organic amendments like olive pomace proved effective in boosting soil resilience.
Novin AgriTech received an $174,906 USD grant from the US Department of Agriculture to develop nitrogen use efficiency trait in elite wheat cultivars. The company's platform technology will introduce genetic tools to improve nitrogen use efficiency.
Researchers sequenced the complete genome of Pseudocercospora cladosporioides, identifying key genes involved in degrading the olive tree's cell wall and inhibiting its resistance mechanisms. This breakthrough will aid in breeding resistant varieties and understanding fungus-olive tree interactions.
A comprehensive meta-analysis reveals that biochar functions as a highly active biological regulator, restructuring the earth to boost porosity and moisture retention. Biochar disrupts the soil's nitrogen cycle by suppressing specific enzyme activities, slowing down processes like nitrification and denitrification.
A new study challenges the common method used worldwide to measure genetic progress in crop breeding, finding that most reported gains are due to maintenance breeding, not genetic improvements. This has significant implications for agricultural research policy and investment, highlighting the need for more robust evaluation methods.
A new study by Virginia Tech and University of Vermont researchers identifies the design features that influence whether trusted agricultural advisors choose AI tools. The research suggests that cost, data ownership, and human-centered design are pivotal to selection.
The conference will feature sessions on biochar innovation and real-world impact in materials science, environmental policy, and sustainable agriculture. The journal Biochar and Carbon Research are also being promoted.
A new study published in Frontiers in Agronomy has found that three widely used Group 15 pre-emergent herbicides affect blackgrass in strikingly different ways. The research reveals distinct biochemical effects on plant growth, cuticular wax composition, and fatty acid metabolism.
This online talk showcases an innovative method of repurposing industrial effluents to enrich biochar, creating a sustainable circular economy in real-world farming. Biochar researcher Prof. Salah Jellali shares his insights on upgrading plain biochar into a smart fertilizer.
A two-year field experiment in California's Central Valley found that super-high-density olive orchards can produce high-quality oil and yields with significantly reduced nitrogen fertilizer. Compost application also improved tree nutrition and reduced greenhouse gas emissions.
Sindhu Jagadamma, associate professor of soil science at UTIA, received the Women in Science Mentoring Award for her support and encouragement to female students. The award recognizes individuals who promote women's advancement in sciences through mentoring and career guidance.
Researchers identified carob leaf and pomegranate peel extracts as potential candidates to mitigate olive tree anthracnose. These bioprotectants significantly reduce fungus production and activate plant defense mechanisms linked to antioxidant responses.
Researchers found that Agrobacterium's virulence is more effective in its natural two-chromosome state, but it grows faster and handles stress better when fused into a single chromosome. This study opens the door for optimizing its use as a crop improvement tool or devising new ways to protect crops vulnerable to crown galls.
A global synthesis found that genetic variation in crops significantly affects methane emissions, but not nitrous oxide emissions. Selective breeding of crop traits can help balance high yields with lower GHG release.
The journal bridges agronomy, ecology, environmental science, and sustainability to address pressing global challenges such as soil health, water quality, and climate resilience. It offers a broad scope for original research, reviews, perspectives, and commentaries with no article processing charges until 2027.
A new study introduces a machine learning tool that combines satellite imagery and weather data to monitor chickpea crop health. The system accurately estimates Leaf Area Index (LAI) and Leaf Water Potential (LWP), enabling farmers to make smarter irrigation decisions and improve yields.
Researchers proposed a quantitative design theory and technical pathway for green yield increase and efficient nitrogen utilization in winter wheat. The "Three-Stage Theory" identifies key bottlenecks and recommends optimizing population structure, soil health, and root-crown interactions to overcome them.
A CABI-led study has identified 9,071 previously unreported pest species in Uganda that pose potential threats to smallholder farmers and food security. The study highlights the need for targeted surveillance, regulation, and research to manage these risks.
Sindhu Jagadamma, a UTIA associate professor of soil science, will receive the award for her research on sustainable soil management practices that mitigate environmental problems. Her work focuses on implementing conservation management techniques, such as no-till and cover crops, to maintain soil health.
A team of researchers has discovered a novel method for capturing carbon dioxide using clay minerals, expanding the portfolio of absorbent materials for addressing climate change. The study, published in The Journal of Physical Chemistry C, found that certain types of clay can selectively absorb CO2 from the air at low humidity levels.
An international team of agronomists calls for a new approach to estimate crop yield potential and gaps. Current statistical models rely on best-case scenarios and extrapolate a single yield potential across large regions, leading to conflicting results.
A recent study by Cambridge University Press found that remotely piloted aerial application systems (RPAAS) using low-drift nozzles at low spray volumes can achieve weed control levels comparable to ground sprayer applications. This technology shows promise for site-specific herbicide applications in turf.
The amount of nitrogen fertilizer needed for corn production has been rising due to increased yield demands and nutrient loss during wetter springs. Improving efficiency through practices like crop rotation and spring fertilizer application can help reduce environmental losses.
Researchers at Penn State have demonstrated that genetic lines of corn contain compounds that inhibit the growth and development of corn earworm larvae, leading to increased mortality and reduced body weight. The compounds, called flavonoids, are produced by high-flavonoid corn lines and have a lethal effect on the larvae.
Researchers created a tool to target agroforestry where it provides the greatest environmental benefits while being economically viable, socially acceptable. The map identifies areas with high impacts on soil erosion, water quality, climate, and profitability for lands not suitable for other crops.
The University of Tennessee Institute of Agriculture has received a $210,000 grant to support ongoing integrated pest management programs across the state. The grant will focus on agronomic and specialty crops, pest control in houses and schools, and improving pollinator health.
A new study by Iowa State University researchers finds that nearly half of soybean-related emissions come from the natural processes in soil, which can be mitigated through strategies like planting winter cover crops and adjusting planting schedules. These solutions have been found to reduce emissions by one-third while increasing yields.
Researchers from the University of Cordoba developed a model to test agrivoltaic integration, finding that joint activities can lead to greater combined productivity. The study shows that photovoltaic plants and hedgerow olive groves can coexist and even benefit each other, with solar collectors generating more energy while shading cro...
Researchers have identified alternative transcription initiation sites for over 40,000 soybean genes, revealing widespread variations outside the traditional TATA box region. This discovery challenges current assumptions about gene expression and has significant implications for plant breeding and genetics research.
A new study from Iowa State University aims to increase emphasis on phenotypic plasticity in improving crop performance. Researchers linked crop traits, genetics and weather conditions using a quantitative framework, predicting flowering time and yield component traits with high accuracy.
Frank Yin, a renowned agronomy researcher at UTIA, has been recognized with the prestigious 2024 American Society of Agronomy Fellowship. Throughout his career, he has made significant contributions to research and education in areas such as nutrient management, precision agriculture, and soil conservation.
A study on Spanish dehesas has developed a tool to model pastureland productivity and water stress, allowing for more efficient grazing management. During severe droughts, grass production can drop by up to 67%, with areas having limited slopes and moderate tree cover being the most productive.
Researchers found that injecting dairy farm manure into a live cover crop in early spring reduces ammonia escape and nitrous oxide emissions, while maintaining soil nitrogen loss. This approach achieves multiple conservation goals, including reduced pollution and improved soil fertility.
Researchers propose a simple indicator of crop's impact on soil erosion, calculating its 'soil footprint' for Spain's main crops. The study reveals that olive trees have the largest 'soil footprint', while onions and potatoes have the smallest, emphasizing the need to adopt protective strategies to reduce soil erosion.
The University of Guam study found that under-plant mirrors can increase available ambient light in shaded areas, leading to improved seedling survival and growth. The innovative protocol uses mirrors instead of colored plastic mulch, resulting in a significant boost in plant performance with minimal costs.
A new machine-learning model developed by a University of Arkansas student improves upon existing genotype-by-environmental interaction models, achieving higher prediction accuracy. The model uses feature engineering to process environmental data, leading to a 7% improvement in mean prediction accuracy.
The review highlights LPOR's role in optimizing chlorophyll production under varying environmental conditions, including light intensity and quality. LPOR is vital in the response to abiotic stress, making it essential for breeding stress-tolerant plant varieties.
Ratoon rice cultivation has seen significant advancements in China, thanks to improved breeding methods and technology. The research highlights the need for precise rhizosphere regulation to boost regeneration capacity and yields.
Three rhizobia strains, Rhizobium sp. TZSR12C, TZSR25B, and Bradyrhizobium sp. TZSR41A, effectively suppressed four fungal pathogens in soybeans under both in vitro and greenhouse conditions.
A research team identified rhizobacteria capable of suppressing Striga infestation in sorghum, with isolates from the Pseudomonas genus demonstrating promising biocontrol potential. The study highlights the potential of using rhizobacteria as environmentally friendly bioherbicides to improve sorghum productivity in Ethiopia.
This study demonstrates the effectiveness of combining AI and UAV imagery for precision agriculture, showcasing AlexNet's superior performance in crop classification. The research highlights the importance of early stopping techniques to prevent overfitting, suggesting further optimization for broader applications.
Researchers propose two strategies to reduce energy loss and increase efficiency: adjusting irrigation schedules to daytime hours when solar energy is produced, and selling surplus energy. These approaches aim to create a sustainable irrigation model that combines environmental protection with economic profitability.
A recent study found that a hybrid variety of cactus pear produced eight times more biomass than the poorest performing variety, making it an attractive water-efficient source of biofuel. The research built on earlier findings and identified high-production varieties suitable for producing biomass under semi-arid conditions.
A study at the University of Bonn found that organic barley developed specific gene variants less sensitive to nutrient deficit or water scarcity. Conventionally farmed barley became more genetically uniform over time, while organic barley remained heterogeneous.
Researchers from the University of Bonn are working on a project to make farming more efficient and environmentally friendly using new technologies and artificial intelligence. They aim to tackle key research questions such as monitoring farmland for nutrient deficiency, weed growth, and pest infestations in real-time.
A team of researchers has identified two long noncoding RNA genes that control multiple traits in wild soybeans, including insect resistance and leaf growth. These findings can aid in the development of new domesticated soybean varieties with improved seed composition and nutritional traits.
A new Deep Learning model based on the Transformer architecture has been developed to predict water and energy demands in agriculture. The model forecasts daily demand for irrigation water seven days in advance with an error margin of less than 2%, enabling effective resource management without autonomy loss.
ZmCPK39 regulates plant height by interacting with auxin signaling, while ZmKnox2 modulates plant growth through its interaction with calcium-dependent protein kinase, leading to dwarf or semi-dwarf varieties using genome editing technology.
Researchers developed novel genomic tools to analyze massive wheat genome data, unlocking insights into genetic variations and gene functions. The tools provide a platform for breeding superior wheat varieties with increased food demand under changing climate conditions.
The study reveals unprecedented insights into Philistine cultic rituals and beliefs, connecting them with broader Mediterranean religious traditions. The discovery of plant species with psychoactive and medicinal properties underscores the significance of nature in Philistine spirituality.
A new study shows that Africa's rice production can be increased by employing improved agronomic practices such as soil nutrition, weed control, and water management. This can help meet projected demand of 150 million tons by 2050 without increasing imports or land conversion.
A neural network trained on a photographic database of olive fruit endocarps can identify olive varieties with high accuracy. The OliVaR tool automates the traditional morphological classification process, allowing growers to quickly identify olive tree varieties and advancing general knowledge of all existing olive varieties.
The project will assess how xanthophyll carotenoids in NutraMaize Orange Corn mitigate negative health effects associated with heat-induced oxidative stress. The researchers aim to improve egg-laying hen health and performance during heat stress events.
A laboratory test shows that silicon application stimulates olive plant growth and increases nutrient absorption, particularly potassium. Plants treated with silicon grew longer stems and more branches than those without the element.
A new study by University of Illinois researchers found that management zone maps, which aim to optimize crop yields based on soil and landscape conditions, are unreliable. The most significant factor affecting crop responses is weather, with yields varying significantly from year to year.
A recent study by the University of Cordoba confirms that controlled burning has minimal short-term effects on soil properties, but can improve fertility and biological properties. Long-term assessments show that alterations are recovering pre-burn values.
The ARA Wireless Living Lab is deploying a network of equipment across Iowa to test its performance in various applications, including precision agriculture and rural education. The goal is to eventually improve wireless service to rural residents and communities, enabling a 'Broadband Prairie' that connects rural areas.