Results 151 to 160 of about 6,028 (348)
Iflaviruses in arthropods: when small is mighty
Many arthropod species harbor iflaviruses, which often cause covert (asymptomatic) infections, but may still affect host fitness. We review the impact of iflaviruses on arthropod fitness, immunity, behaviour as well as the iflavirus’ host range, transmission, tissue tropism and the interactions with other microorganisms within arthropods.
Annamaria Mattia +3 more
wiley +1 more source
Life-cycle of the Pea Crab, Pinnotheres vicajii Chhapgar, infesting the clam, Paphia malabarica [PDF]
Various crab stages commencing with the invasive stage to adult stages of male and female in the lile cycle of Pinnotheres vicajii infesting the edible clam, Paphia malabarica, occurring in the Mandovi estuary of Goa have been described.
Krishna Kumari, L, Rao, K Virabhadra
core
Abstract Measuring directional root placement is critical for understanding plant responses to their below‐ground environment, and particularly their competing neighbours. Directional root placement is commonly measured using image analysis of roots growing in transparent pots (rhizoboxes), where the length of the root system of the target plants is ...
Ruth Gottlieb +3 more
wiley +1 more source
Crab seed production- Winter School on Recent Advances in Breeding and Larviculture of Marine Finfish and Shellfish [PDF]
The three commercially important genera, Scylla, Portunus and Charybdis are brachyuran crabs belonging to the family Portunidae. A number of species of these genera are widely distributed in the Indo-Pacific and is of significant importance in the ...
Nair, K R Manmadhan
core
Abstract Molecular identification of insect food webs can accurately reveal complex trophic interactions and serve as a foundation for understanding ecosystem functioning and advancing biodiversity conservation. This process typically involves DNA library construction, high‐throughput sequencing and subsequent steps, including data assembly, annotation,
Xiao‐man Zhang +9 more
wiley +1 more source
AutoPollS: A tool for automated monitoring of pollinators using deep learning
Abstract Deep learning and computer vision hold enormous potential for automated monitoring of biodiversity, including pollinators and other insects. Efficient, scalable monitoring of insect pollinators is crucial given pollinators' role in supporting biodiversity and agricultural productivity amidst declining pollinator populations.
Matthew A.‐Y. Smith +13 more
wiley +1 more source

