Photoperiodic Supervision and Adaptability in Avian System
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2020.11.1.07Keywords:
Keywords:Photoperiodism, Photoperiod, Birds, Environmental stimuli, CuesDimensions Badge
Issue
Section
Photoperiodism is a prime selective force and in response to photoperiod and other supplementary environmental cues, birds exhibitbehavioral and physiological responses. Birds have developed specialized temporal programming for the adaptation to their activities during 24-h of periodicity. To maintain the successful survival of progeny, they use both environmental cues and endogenous cycles in the suitable time window of the year. These timing mechanisms commonly involve an internal molecular oscillator which we called as ‘clock’ (s) that is ‘entrained’ to the environmental cycle. They express their endogenous cycles in physiology and behavior by receptor mechanisms responding to appropriate environmental signals (‘Zeitgeber’, i.e. time-giver) that allow anticipation of the seasons. Birds can respond to environmental stimuli in 3 key ways: disperse, adjust through phenotypic plasticity, or adapt through genetic changes. In this article, we discussed thesignificance of ecological factors affecting bird’s physiology and behavior.Furthermore, the migratory songbird’s performancealong with downstream proceedingsabout these factors and their adaptive approaches towards nature’scircuitryAbstract
How to Cite
Downloads
Similar Articles
- A. Rukmani, C. Jayanthi, Fuzzy optimization trust aware clustering approach for the detection of malicious node in the wireless sensor networks , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Chandra Bhushan Tiwary, Ashok Kumar Singh, WATER QUALITY AND LIFE-HISTORY PARAMETERS OF DAPHNIA CARINATA (DAPHNIDAE : CLADOCERA) UNDER LABORATORY CONDITIONS , The Scientific Temper: Vol. 8 No. 1&2 (2017): The Scientific Temper
- D. Prabakar, Santhosh Kumar D.R., R.S. Kumar, Chitra M., Somasundaram K., S.D.P. Ragavendiran, Narayan K. Vyas, Task offloading and trajectory control techniques in unmanned aerial vehicles with Internet of Things – An exhaustive review , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Archana Verma, Application of metaverse technologies and artificial intelligence in smart cities , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- M. Prabhu, A. Chandrabose, Improving the resource allocation with enhanced learning in wireless sensor networks , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Deepa Ramachandran VR VR, Kamalraj N, Hybrid deep segmentation architecture using dual attention U-Net and Mask-RCNN for accurate detection of pests, diseases, and weeds in crops , The Scientific Temper: Vol. 16 No. 07 (2025): The Scientific Temper
- Somnath Bose, Preeti Singh, Changes in Total Serum Calcium Level and Shell Calcium Content in Bank Myna, Acridotheres ginginianus (Latham) During Breeding Season , The Scientific Temper: Vol. 7 No. 1&2 (2016): THE SCIENTIFIC TEMPER
- R. Sivakumar, S. Vijaya, Eco-epidemiology of prey and competitive predator species in the SEI model , The Scientific Temper: Vol. 15 No. spl-2 (2024): The Scientific Temper
- A. Sahaya Mercy, Dr. G. Arockia Sahaya Sheela, Speckle-Robust Local Phase and Ternary Texture Encoding (SLaP-TEX) based Feature Extraction for Liver Steatosis Classification in Ultrasound Imaging , The Scientific Temper: Vol. 16 No. 12 (2025): The Scientific Temper
- Archana Bansal, Management of Crop-Residue to Control Environmental Hazards , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
<< < 3 4 5 6 7 8 9 10 11 12 > >>
You may also start an advanced similarity search for this article.

