Results 81 to 90 of about 23,047 (239)
Abstract The effectiveness of enhanced efficiency nitrogen fertilizers (EENFs) depends on how well the nitrogen (N) release synchronizes with crop demand. A 2‐year (2024–2025) mesh‐bag study was conducted to quantify N release from six N fertilizer sources under field conditions.
Akash Shah +8 more
wiley +1 more source
Alternatives to Invasive Plants Commonly Found in North Florida Landscapes
Based on years of UF/IFAS research producing and trialing cultivars, this 3-page fact sheet lists native and non-invasive, non-native ornamentals as alternatives to invasive plants commonly used in Florida landscapes.
Sandra B. Wilson +4 more
doaj +2 more sources
New applications in integrated fixed film activated sludge-membrane bioreactor (IFAS-MBR) systems
This chapter provides an overview on the development and application of integrated fixed film activated sludge-membrane bioreactor (IFAS-MBR) systems. IFAS-MBRs represent a novel configuration for advanced wastewater treatment, and only a few studies are
Mannina G. +4 more
core +1 more source
The efficiency of nitrogen fertilization in cauliflower depends on synchronizing nutrient availability with crop demand while minimizing environmental losses. This study evaluated cauliflower performance and nitrogen leaching under varying ratios of polymer‐coated controlled‐release urea (CRU) and conventional urea (CU).
Simone C. Mello +3 more
wiley +1 more source
Oropouche virus (Peribunyaviridae: Orthobunyavirus)
Oropouche virus, which causes Oropouche fever, an emerging infectious human pathogen endemic to tropical forest environments of South America, is expanding rapidly in the American Tropics.
Nathan D. Burkett-Cadena +3 more
doaj +1 more source
The oil sands process-affected water (OSPW) generated from bitumen extraction of oil sands, is currently stored in tailings ponds due to its toxicity to the aquatic organisms.
Huang, Chunkai
core +1 more source
Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang +12 more
wiley +1 more source
Présentation Programme AFD/Ifas
Institutions, Gouvernance et Croissance à Long Terme Projet AFD/IFAS Descriptif : Piloté depuis 2009 par le département recherche de l’Agence Française de Développement (AFD), le programme « Institutions, Gouvernance et Croissance à Long Terme » a lancé ...
Victor Magnani
core
Inoculant effects on bermudagrass silage nutritive value and fermentation characteristics.
DeLaval Mfg, Bannockburn, IL USAUF IFAS, Range Cattle Res & Educ Ctr, Ona, FL USASao Paulo State Univ, Botucatu, SP, BrazilUFL, Ona, FL USASao Paulo State Univ, Botucatu, SP ...
Cecato, U. +5 more
core +1 more source
Genomic and phenomic prediction models improve selection accuracy for complex traits in alfalfa
Abstract Predictive breeding has been proposed as an effective approach to accelerate genetic gain for complex traits. Genomic prediction (GP) models have been developed in alfalfa (Medicago sativa L.) for key traits in the last decade. More recently, phenomic prediction (PP) models have been proposed as a low‐cost, high‐throughput alternative to GP in
Pablo Sipowicz +8 more
wiley +1 more source

