Agriculture
Research from the Department of Agricultural Technology in Nigeria has identified the critical climatic factors influencing maize yield in a rainforest agro-ecology. The study, published in the Turkish Journal of Agriculture: Food Science and Technology, reveals that total solar radiation is the primary driver of maize yield, with a significant
Farmers
Growing interest in participatory varietal selection and gender-responsive breeding has led to research highlighting the importance of ensuring new crop varieties meet the needs of a diverse range of smallholder farmers. On-farm testing, increasingly used to ensure new varieties perform within target environments, has limitations in representing the diversity of
Farmers
The Maize Association of Nigeria (MAAN) has enlisted the support of the Economic and Financial Crimes Commission (EFCC), the Department of State Services (DSS), and the Nigeria Police to recover outstanding loans from the Anchor Borrowers Programme (ABP) owed by its members. The move comes after a three-day meeting with
Agriculture
Researchers from China Agricultural University have developed a method to monitor seed positions in soil using ultrasonic waves. The study, published in the journal Agriculture, utilizes a three-dimensional ultrasonic model to analyze signal variations and propagation characteristics of ultrasonic waves in the seed-soil medium. The findings provide valuable insights into
Agriculture
Researchers at Inner Mongolia Agricultural University have developed a new filling method to improve the seed-filling effect of high-speed seed-metering devices. The method uses a composite seeding tray to limit the number of seeds accumulation in front of the filling port, resulting in a more stable and efficient filling process.
Farmers
The Illinois Corn Marketing Board and the Illinois Soybean Association are teaming up to showcase their joint efforts in driving demand for Illinois corn and soybeans at this year's Farm Progress Show in Decatur, Illinois. The "Demand Destination" exhibit, located at lot 605, will feature various
Agriculture
Research conducted at Tribhuvan University in Nepal has evaluated the genetic parameters of promising maize hybrids. The study, which took place in the farmer's field of Sundarbazar, Lamjung, aimed to examine genetic variability, heritability, genetic advance, and character association for yield and yield-contributing traits. The research found significant
Agriculture
New research by the Chinese Academy of Sciences has found that high cumulative temperature maize varieties exhibit superior production potential in rainfed North China Plain areas. The study, which spanned two years, found that these varieties achieved significantly higher yields, biomass, and photosynthetic rates compared to low cumulative temperature requirement
Farmers
The National Corn Growers Association (NCGA) is intensifying its call for action from Congress and the administration as the U.S. Department of Agriculture's World Agriculture and Supply and Demand Estimates report projects a record 16.7-billion-bushel corn crop this year. This projected crop, coupled with record-low corn
Food supply
A groundbreaking study has made a significant breakthrough in understanding maize root architecture, offering a valuable foundation for future breeding strategies aimed at improving drought resistance, nutrient use efficiency, and crop resilience. By combining image-based phenotyping with gene expression analysis, researchers have developed a high-throughput phenotyping pipeline that integrates open-source
Food supply
Research on conservation agriculture (CA) has identified its potential to address environmental degradation and enhance agricultural productivity. A study conducted by the Indian Council of Agricultural Research (ICAR) Indian Agricultural Research Institute (IARI) has assessed the impact of a double zero-tilled bed-planting (PRBZT) system combined with optimized phosphate fertilizer management
Food supply
Research from the Indian Institute of Information Technology Kottayam has led to the development of a novel framework, GRCornShot, for detecting corn diseases using few-shot learning with prototypical networks. This research aims to address the challenges of deep learning methods, which require large quantities of data to train models for
