Citrus greening disease, also called huanglongbing (HLB), is a bacterial infection of citrus trees that results in small, misshapen and sour fruits that are unsuitable for consumption.

New research by an international team of scientists reveals that endangered North Atlantic right whales are in much poorer body condition than their counterparts in the southern hemisphere.

Collaborate research of the University of Jyväskylä and the Natural Resources Institute Finland on salmonid fishes, sheds light on animal defence mechanisms and their interactions.

Nitric oxide (NO) is a pollution gas that plays an important role in tropospheric chemistry.

While the human world is reeling from one pandemic, there are several ongoing epidemics that affect crops and put global food production at risk.

In a Policy Forum, “Dissolved oxygen and pH criteria leave fisheries at risk” published in the April 24 issue of the journal Science, Stony Brook University’s Dr. Christopher J. Gobler, Endowed Chair of Coastal Ecology and Conservation, and Stephen J. Tomasetti, Science Teaching and Research to Inform Decisions (STRIDE) fellow, consider accumulating scientific evidence on the harmful effects of coastal hypoxia (low oxygen) and acidification (decreasing pH, increasing acidity) in coastal ecosystems and suggest approaches that would address current policy shortfalls and facilitate improved protection of aquatic life.

Three of Europe’s biggest economies — Germany, Spain, and the United Kingdom — have recently achieved new records in solar generation, due in part to a drop in air pollution from coronavirus-related shutdowns, which has cleared skies and boosted production of photovoltaic cells, Greentech Media reported.

Current marine protected areas in the Southern Ocean need to be at least doubled to adequately safeguard the biodiversity of the Antarctic, according to a new CU Boulder study published today, Earth Day, in the journal PLOS ONE.

A team of scientists led by Yosuke Toda, Designated Assistant Professor at the Institute of Transformative Bio-Molecules (WPI-ITbM), Nagoya University, and Fumio Okura, Assistant Professor at the Institute of Scientific and Industrial Research,Osaka University, have developed a system which utilizes image analysis and artificial intelligence (AI) to automatically and precisely analyze the shape of large numbersof seeds from a single image. As the shape of the seed is an important agronomic trait that is closely linked to the yield and quality of crops, a method for automatically determining and evaluating suchfrom an image is an indispensable tool for plant breeding. However, creating the training dataset is laborious and time consuming, especially when the number of objects to annotate is as large as it is in the case of seeds. To date,it has been difficult to quickly and conveniently analyze the number of seeds of different crop species at once.

A worldwide compilation of long-term insect abundance studies shows that the number of land-dwelling insects is in decline.