Effect of TLCV on Metabolic Parameter and Yield of Tomato
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2020.11.1.02Keywords:
Tomato leaf curl virus, Concentration, Metabolic parametersDimensions Badge
Issue
Section
License
Copyright (c) 2020 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Tomato leaf curl disease (TLCV) is the most destructive disease in Tropical and sub-tropical countries. TLCV causes distinct curling symptom of leaf in tomato crop. In the present investigation metabolic parameters viz; moisture and dry matter content, chlorophyll content, enzymatic activities, carbohydrate content, protein content and phosphorus content have been studied between infected and healthy plant parts. It was found that virus infection reduce the moisture and dry matter content of tomato cultivars. Reducing and non-reducing sugars as well as starch content observed lower in infected plants. Total and organic phosphorus content in infected samples were always higher in comparison to healthy counterparts in all stages of infection.Abstract
How to Cite
Downloads
Similar Articles
- Y. Mohammed Iqbal, M. Mohamed Surputheen, S. Peerbasha, Swarm intelligence-driven HC2NN model for optimized COVID-19 detection using lung imaging , The Scientific Temper: Vol. 16 No. 03 (2025): The Scientific Temper
- Vijay Kumar, Priya Thapliyal, Rajesh Rayal, Baljeet Singh Saharan, Arun Kumar, Shweta Sahni, The Molecular Profiling and HCV RNA Quantification to Study the Distribution of Different HCV Genotypes in Accordance to Geographical Condition , The Scientific Temper: Vol. 12 No. 1&2 (2021): The Scientific Temper
- M. Monika, J. Merline Vinotha, A Sustainable Vendor–Buyer Supply Chain Framework Integrating Energy Storage Systems and Green Investments with Incentive Policies under Demand Uncertainty , The Scientific Temper: Vol. 17 No. 02 (2026): The Scientific Temper
- M. Monika, J. Merline Vinotha, A resilient supply chain model integrating demand variability and carbon emissions in imperfect production systems , The Scientific Temper: Vol. 16 No. 08 (2025): The Scientific Temper
- S. Sathiyavathi, V. Mathivannan, Selvi. Sabhanayakam, Cd4+ CELL COUNTS IN THE PATIENTS OF HIV INFECTED IN SALEM , The Scientific Temper: Vol. 1 No. 01 (2010): 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
- M. Menaha, J. Lavanya, Crop yield prediction in diverse environmental conditions using ensemble learning , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Neerav Nishant, Nisha Rathore, Vinay Kumar Nassa, Vijay Kumar Dwivedi, Thulasimani T, Surrya Prakash Dillibabu, Integrating machine learning and mathematical programming for efficient optimization of electric discharge machining technique , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Arvind K Shukla, Balaji V, Dharani R, M Ananthi, R Padmavathy, Romala V. Srinivas, Precision agriculture predictive modeling and sensor analysis for enhanced crop monitoring , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- M. Monika, J. Merline Vinotha, Optimization of a Lean Vendor–Buyer Supply Chain Model under Neutrosophic Fuzzy Environment with Transportation, Loading, and Unloading Considerations , The Scientific Temper: Vol. 16 No. 10 (2025): The Scientific Temper
<< < 3 4 5 6 7 8 9 10 11 12 > >>
You may also start an advanced similarity search for this article.

