Results 201 to 210 of about 34,704 (266)
From deception to mutualism: a continuum in Gastrodia brood-site pollination. [PDF]
Lessware OC.
europepmc +1 more source
Abstract Chickpeas (Cicer arietinum L.) serve as a protein‐rich staple, particularly in Mediterranean countries, where they are often grown in marginal and water‐stressed areas. This meta‐analysis synthesized evidence from peer‐reviewed publications across Mediterranean countries to assess how chickpea rhizobial inoculation influences chickpea ...
Amira Hachana +11 more
wiley +1 more source
Inducing fixation of transgenic alleles in open-pollinated populations
Anthony J. Conner, Jeanne M. E. Jacobs
openaire +1 more source
Floral visitors and potential pollinators of <i>Calanthe discolor</i> and <i>C. striata</i> in South Korea. [PDF]
Han GY +5 more
europepmc +1 more source
Bee pollen as functional food and environmental bioindicator: current evidence and future challenges
Abstract Bee pollen (BP), a plant‐derived product collected by honey bees, is increasingly promoted as a functional food due to its content of proteins, essential amino acids, lipids, vitamins, minerals, and bioactive compounds such as polyphenols and flavonoids.
Luigi Parrotta, Stefano Del Duca
wiley +1 more source
Floral Traits and Breeding Systems in <i>Sincoraea</i> (Bromeliaceae), an Endemic Genus of Brazilian Rupestrian Grasslands. [PDF]
Fagundes ACA +8 more
europepmc +1 more source
Abstract BACKGROUND Downy mildew, caused by Pseudoperonospora cubensis, is one of the most destructive diseases affecting cucumber and remains difficult to manage sustainably through fungicide‐dependent control strategies. Although several resistance loci have been reported, many previously mapped regions remain too broad for efficient marker‐assisted ...
Mahdi Badri Anarjan +8 more
wiley +1 more source
Pollination by long-proboscid horseflies and its implications for reproductive isolation among coflowering Satyrium orchids in South Africa. [PDF]
Johnson SD +3 more
europepmc +1 more source
ABSTRACT Artificial Intelligence is rapidly transforming allergology by enhancing diagnosis, risk prediction, automation, patient communication, education, and therapy development. Machine learning approaches, including convolutional neural networks, recurrent architectures, and transformer‐based models, enable analysis of complex datasets from ...
Sebastian Seurig +2 more
wiley +1 more source

