STUDIES ON PROGRESSION GROWTH FACTOR FOR ERI SILKMOTH, SAMIA RICINI DONOVAN (LEPIDOPTERA: SATURNIIDAE)
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2010.01.1.16Keywords:
Eri silkmoth, larva, Progression Growth Factor, Castor, Kesseru, Tapioca and PapayaDimensions Badge
Issue
Section
License
Copyright (c) 2023 The Scientific Temper
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The Progression Growth Factor was studied for Eri silkmoth, Samia ricini Donovan by rearing the larvae on the leaves of four food plants (Castor, Ricinus communis; Kesseru, Heteropanax fragrans; Tapioca, Manihot utilissima and papaya, Carica papaya) at 26-280C temperature and 60-85% relative humidity. It was observed that the values of Progression Growth Factor were almost at par for castor and kesseru leaves indicating that growth was similar on both of the host plants. The value was lesser for tapioca leaves than castor and kesseru. However, the larvae could not complete their life cycle on papaya leaves.Abstract
How to Cite
Downloads
Similar Articles
- Brijesh Singh, Ajay Massand, Determinants of Gen Z’s adoption of chatbots in online shopping: An empirical investigation , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Thangatharani T, M. Subalakshmi, Development of an adaptive machine learning framework for real-time anomaly detection in cybersecurity , The Scientific Temper: Vol. 16 No. 08 (2025): The Scientific Temper
- Anupam Sinha, Rhizome Rot Disease of Ginger (Zingiber officinale Rosc.) and its Bio-control Strategy , The Scientific Temper: Vol. 11 No. 1&2 (2020): The Scientific Temper
- Finney D. Shadrach, Harsshini S, Darshini R, Grapevine leaf species and disease detection using DNN , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- S. Mohamed Iliyas, M. Mohamed Surputheen, A.R. Mohamed Shanavas, Trust-based symmetric game theory for physical layer security in wi-fi communication , The Scientific Temper: Vol. 16 No. 05 (2025): The Scientific Temper
- A. Kamatchi, Dr. V. Maniraj, An early classification of Alzheimer’s Disease with deep Features using Advanced Deep Learning Method (Graph Convolutional Neural Networks) , The Scientific Temper: Vol. 17 No. 03 (2026): The Scientific Temper
- B. Nivedetha, Water Quality Prediction using AI and ML Algorithms , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- M. Prabhu, A. Chandrabose, Optimization based energy aware scheduling in wireless sensor networks , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Maya Kumari, Vikas Y Patade, Z Ahmad, TRANSGENIC APPROACH TOWARDS DEVELOPMENT OF COLD STRESS TOLERANT VEGETABLES FOR HIGH ALTITUDE AREAS , The Scientific Temper: Vol. 1 No. 01 (2010): The Scientific Temper
- KIRANDIMRI ., N. K. SHARMA, EFFECT OF ORGANIC FERTILIZERS ON SHOOT MORPHOLOGY OF ANACYCLUS PYRETHRUM IN THREE DIFFERENT ALTITUDES , The Scientific Temper: Vol. 10 No. 1&2 (2019): The Scientific Temper
<< < 7 8 9 10 11 12 13 14 15 16 > >>
You may also start an advanced similarity search for this article.
