The companies have created a microfluidic device-based LNP production system that enables precise control over particle size, addressing previous productivity issues. The system can produce various types of LNPs in small-batch or mass quantities, from personalized medicine to vaccines for infectious diseases.
Rising temperatures and increased trade enable pests to spread globally, intensifying agriculture weakens natural pest control. Crop losses exceed 40% due to pest and disease impacts, necessitating urgent action for climate-smart management strategies.
Crop mapping uses satellite imagery to create accurate crop type maps in various regions. The research team trained machines to recognize crops from satellite images, achieving high accuracy rates. However, models pre-trained on general image datasets performed better than those pre-trained on satellite images.
A recent study introduces a groundbreaking method for early crop identification, leveraging the Bayesian Probability Update Model (BPUM). The method combines historical planting data with real-time remote sensing observations, enabling accurate predictions of crop distribution 1-2 months ahead.
Scientists at KAUST developed a new nanoplastic mulch that cools greenhouses by 25 degrees Celsius, increasing Chinese cabbage crop yields by nearly 200%. The biodegradable mulch reduces microplastic waste and energy consumption in hot cities.
An international team of scientists has unveiled the first chromosome-scale genome of a wild barley species, identifying critical genetic adaptations that enable efficient nutrient intake under alkaline stress. The study developed a new hexaploid crop, Tritordeum, which exhibits significant yield improvements in harsh conditions.
Crop domestication and improvement significantly reshape root traits, including lateral root density, main root length, and cortical cell size. The structure and function of the associated microbial community also undergo profound changes, affecting nutrient absorption and immune capacity.
A nine-year study found that a three-year crop rotation system can dramatically reduce nitrogen loss in farm runoff without compromising yield. Crops like cereal rye and winter wheat help maintain soil stability, reducing erosion and nutrient runoff.
Climate change and air pollution threaten food systems, while agricultural activities contribute to global warming and poor air quality. Implementing mitigation and adaptation strategies within the food system can reduce emissions and improve resilience.
Researchers introduce ClimID-UDA, a novel approach to cross-regional crop classification using climate indicator discrepancies. The method enhances crop classification accuracy by up to 20% and offers a scalable solution for global agricultural monitoring.
The study categorizes CROP-AP models into four key types, highlighting five major applications in agricultural productivity simulation. Future research priorities focus on strengthening model validation and simulating multi-scale interactions to support sustainable global food production.
A recent study highlights both positive and negative effects of elevated CO2 on plants, affecting nutrient assimilation, growth, and crop quality. Crop varieties with superior biofortification traits can help alleviate nutrient deficiency.
The AGRI4POL project aims to transform agriculture into a positive force for biodiversity and crop pollination services. It will deliver an integrated analysis of the crop-farming system-pollinator interplay across biological organisation levels.
Researchers identify six strategies to mitigate heat stress on crop yield and quality, emphasizing importance of addressing nighttime heat stress. Global warming projected to increase nighttime temperatures, further impacting crop yields and food quality.
A new study reveals that a rise in temperature by more than 1.5°C could lead to a marked decline in crop diversity, impacting global food security. Low-latitude regions are particularly vulnerable, with up to half of their crop production at risk.
A new computer vision system, integrating internet of things and artificial intelligence, enables continuous monitoring of plant growth in controlled environment agriculture. The system successfully isolated individual plants and tracked changes in leaf coverage area throughout their growth cycle.
The latest stage of crop breeding integrates biotechnology, big data, and AI to achieve efficient, personalized breeding. This convergence enables intelligent breeding approaches by analyzing complex genetic regulatory networks and predicting important functional genes.
A new study estimates that overuse of Bt maize has led to significant economic losses for US farmers, with a total cost of $1.6 billion. The findings highlight the need for improved seed diversity, transparency, and farmer decision-making to sustain transgenic crop benefits.
University of Queensland researchers have successfully introduced genetic material into plants via their roots using nanoparticle technology, enabling rapid crop improvement. This innovative approach could lead to the development of new crop varieties with improved yield and quality without traditional breeding methods.
Researchers found that cacao grafting increases crop yield by 45% after just two years, while preserving native arthropod diversity. This approach rejuvenates old cacao crops with minimal ecological impact.
Researchers discovered the SiPRR37 gene's role in regulating foxtail millet flowering based on day length. This allows the crop to adapt to different climates and achieve higher yields.
A new study by researchers at the University of Minnesota found that the benefits of corn-soybean crop rotation are extremely sensitive to climate change. The study suggests that increasing crop rotation can improve overall yields and highlight its potential as a climate adaptation strategy in the US Midwest.
A study recommends planting alternative crops in areas currently growing maize and rapeseed to increase productivity by 14.1% while minimizing leached nitrogen and water use. The optimal crop distributions also promote future food security with coordinated actions at the national scale.
A new study from the University of Göttingen reveals that the identity of pollinators, pollen, and crop varieties significantly impact fruit quality. The research emphasizes the need to consider these factors to improve crop nutrient composition and consumer health.
The University of Tennessee Institute of Agriculture's annual report highlights the challenges faced by Tennessee's farmers and foresters in 2024, including drought, agricultural land loss, and decreasing foreign market demand. The outlook for 2025 is clouded due to trade policy uncertainty, low crop prices, and high input costs.
Researchers investigated genetically modified rice's impact on seed production, revealing excessive sugar accumulation hinders pollen fertility and seed-setting. The study highlights the need for balance in photosynthesis to ensure sustainable rice cultivation.
A recent study highlights the importance of deep soil health in improving crop productivity on low-yielding farmland. Researchers found that improving surface soil health can increase wheat yield, while a complex microbial network is essential for maintaining soil health and crop productivity.
Researchers reconstruct genomes of 1,000-year-old maize cobs to reveal close genetic link with Northern Flint varieties, showing the selection process that shaped this globally important food crop. The study provides valuable information for crop breeders to reintroduce lost genetic diversity and develop new varieties.
A comprehensive study reveals that global crop yields have continued to grow at roughly the same rate since the 1960s, offsetting any slowdown in specific crops or regions. The findings highlight the need for sustainable food production and affordability to address future food security challenges.
A mathematical model reveals a critical threshold for anthropogenic CO2 emission, beyond which crop yield starts to decrease significantly. Developing temperature-tolerant crops is crucial in maintaining agricultural productivity and ensuring food security.
The study reveals that valuable diversity can arise after domestication, shedding light on crop evolution and breeding. The researchers detected 173 structurally complex loci with nearly identical tandem repeats and genes in the barley pangenome.
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.
The study reveals key genetic traits that could enhance disease resistance, climate adaptability, and crop yield in macadamia. Genome annotation also identified genes associated with fatty acid biosynthesis and antimicrobial properties conserved across species.
A team of researchers found that the use of microbial biofertilisers and algae-based biostimulants can significantly enhance both the yield and quality of organic tomatoes. The treatments improved processes like nutrient absorption and stress tolerance, supporting overall crop performance.
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.
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.
Researchers harvested climate-smart soybeans in a $5 million USDA project aiming to reduce GHG emissions while increasing crop production. The crop was grown using five climate-smart practices, including earlier planting and soil conservation.
Researchers at the University of Illinois are testing a new genetic framework called the omnigenic model to improve crop breeding. The model divides genes into core and peripheral components, with peripheral genes influencing complex traits through cellular processes.
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.
A Rutgers-led study found that one-third to two-thirds of farms worldwide suffer from low crop yields due to insufficient pollinators. However, researchers estimate that improving pollinator management and research can increase efficiency in existing fields to meet global nutritional needs.
A new functional data analysis-based methodology predicts crop yields in year-round cultivation, offering a predictive framework for optimizing agricultural management. The model provides actionable insights into the relationship between environmental conditions and crop performance, enhancing sustainability amidst climate change.
Researchers developed a tricot approach to collaborate with farmers in testing new crop varieties, increasing collaboration and community engagement. The approach has been shown to be cost-effective, equitable, externally valid, and scalable, benefiting national programs and improving data value.
A new study has sequenced and assembled the genome of chieh-qua, a cucurbit crop with significant economic importance in Asia. The high-quality genome assembly provides valuable resources for future genetic and breeding research aimed at improving crop yield and quality.
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.
A new dual-branch network combining CNNs and visual transformers achieves state-of-the-art recognition accuracies for plant disease identification, enhancing disease sensing capabilities and offering potential for efficient models crucial for improving agricultural production.
Researchers discovered zinc's crucial role in nitrogen fixation of legumes, optimizing crop efficiency and reducing synthetic fertilizer reliance. This finding could enhance nitrogen delivery, improve yields, and promote sustainable agricultural practices.
A new tool called TATSI enables efficient and accurate genome editing in plants, increasing the rate of targeted DNA integration by an order of magnitude. This technology has the potential to improve crop traits such as virus resistance and nutrient levels, addressing global challenges in agriculture.
Researchers at NUS discovered a novel mechanism in plants that removes excess chloride ions from roots, enhancing salinity tolerance. This discovery could improve the salinity tolerance of crop plants in the future.
Researchers use laser scanning to generate 3D models of sugar beet plants, capturing essential characteristics for AI-assisted crop improvement. The 3D models are reproducible and freely available, enabling efficient and cost-effective plant breeding in resource-poor settings.
As industrial agriculture practices become unsustainable in extreme climates, smallholder farmers' landrace seeds are crucial for adapting crops to local conditions. By valuing and sharing seed diversity, researchers aim to promote benefit-sharing and center evolution and biodiversity in agricultural processes.
A new, high-yielding variety of camelina has been engineered with a gene that increases oil production by 21.4%. The modified seeds have lower levels of flavonoid compounds and mucilage, but higher levels of genes involved in oil synthesis.
Shifting excess nitrogen from rich countries to poor ones could increase crop production by 12%, with moderate/food insecure regions seeing significant gains in both fertilizer use and food output. Current levels of production could be maintained with only 53-68% of current nitrogen used through redistribution.
Researchers explore mechanisms of fruit abscission in woody species, highlighting critical roles of abscission zones and signaling pathways. Future studies aim to develop precise genetic interventions to enhance crop resilience and productivity.
Researchers at RIKEN have developed a new catalyst that reduces the amount of iridium required for hydrogen production, achieving 82% efficiency and sustaining production for over 4 months. The breakthrough could revolutionize ecologically friendly hydrogen production and pave the way for a carbon-neutral energy economy.
Researchers at Cornell University have developed a framework to predict crop yield using satellite images of solar-induced chlorophyll fluorescence. This approach could help farmers react to changing conditions, improve crop health, and reduce poverty. By leveraging satellite data, the method is cheaper and faster than traditional yiel...
Researchers engineered increased mesophyll conductance in a model crop, improving CO2 diffusion and uptake. The study showed an 8% increase in photosynthesis in the field, demonstrating potential for improved crop production and sustainable water use.
Targeted genome editing tools have revolutionized crop breeding methods, significantly improving breeding efficiency and precision. The latest advances in base editing, prime editing, and precise manipulation tools are expected to become critical foundational technologies for future crop research and breeding applications.
The review highlights the transformative impact of gene-based breeding on improving crop and livestock genetics, enabling molecular precision agriculture and medical science. GBB has been instrumental in enhancing fiber length and grain yield in cotton and maize, achieving high prediction accuracy and reliability.
A research team proposes a method to quantify the 'golden-hour water use efficiency' (GHW) trait, aiming to breed high-yielding and water-efficient crop varieties. The study focuses on the importance of balancing water conservation with biomass output in crops, offering a greener alternative for agricultural productivity.
The Yangtze River Basin faces severe water quality issues due to excessive fertilizer and pesticide use, as well as the inappropriate disposal of agricultural waste. The study highlights the need for balancing green agriculture with development to ensure food security and water quality.