Results 201 to 210 of about 34,704 (266)

Effect of bio‐fertilization and edapho‐climatic conditions on chickpea nodulation, grain yields, and seed protein in a Mediterranean context: a meta‐analysis approach

open access: yesJournal of the Science of Food and Agriculture, EarlyView.
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

open access: yesTransgenic Research
Anthony J. Conner, Jeanne M. E. Jacobs
openaire   +1 more source

Bee pollen as functional food and environmental bioindicator: current evidence and future challenges

open access: yesJournal of the Science of Food and Agriculture, EarlyView.
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]

open access: yesPlants (Basel)
Fagundes ACA   +8 more
europepmc   +1 more source

Fine mapping of cucumber downy mildew resistance loci identifies candidate genes linked to ethylene‐associated stomatal defence

open access: yesJournal of the Science of Food and Agriculture, EarlyView.
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

The Role of Artificial Intelligence in Modern Allergology: A Review of Applications in Diagnosis, Prediction, and Management

open access: yesJEADV Clinical Practice, EarlyView.
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

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