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Evaluation of root morphology in banana genotypes under sodic soil stress using RhizoVision software


 
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1. Title Title of document Evaluation of root morphology in banana genotypes under sodic soil stress using RhizoVision software
 
2. Creator Author's name, affiliation, country V. Jegadeeswari; Department of Fruit Science, Horticultural College and Research Institute for Women, Tamil Nadu Agricultural University; India
 
2. Creator Author's name, affiliation, country J. Kalaivani; Department of Fruit Science, Horticultural College and Research Institute for Women, Tamil Nadu Agricultural University; India
 
2. Creator Author's name, affiliation, country K. R. Vijayalatha; Department of Vegetable Science, Horticultural College and Research Institute for Women, Tamil Nadu Agricultural University; India
 
3. Subject Discipline(s)
 
3. Subject Keyword(s) banana; sodic soil; root growth; rhizovision software
 
4. Description Abstract

Banana (Musa spp.) productivity is limited by sodic soils, which impairs root growth and nutrient uptake. Analyzing root traits under stress conditions can aid in identifying tolerant genotypes. This study investigates the root morphological traits of banana cultivars under sodic soil stress conditions using Rhizovision software. The pot culture experiment was laid out in a Completely Randomized Design (CRD) under open field conditions, with treatments comprising the following varieties: Poovan (AAB), Udhayam (ABB), Karpooravalli (ABB), CO 3 (ABB), Kaveri Saba (ABB), Kaveri Kalki (ABB), Kaveri Haritha (ABB), Monthan (ABB), Nendran (AAB), and Rasthali (AAB), each replicated thrice. Parameters such as the number of roots, root tips, diameter, surface area, perimeter, and volume were assessed to evaluate the performance of different cultivars. The findings reveal that Karpooravali and Udhayam cultivars exhibited superior performance in terms of root morphology compared to other cultivars under sodic soil stress. These cultivars displayed increased root proliferation, elongation, and surface area, indicating their resilience to sodic soil stress. The utilization of Rhizovision software facilitated precise measurement and analysis of root traits, providing valuable insights into the adaptation mechanisms of banana cultivars to adverse soil conditions.

 
5. Publisher Organizing agency, location EnPress Publisher LLC
 
6. Contributor Sponsor(s)
 
7. Date (YYYY-MM-DD) 2024-12-09
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier https://systems.enpress-publisher.com/index.php/TH/article/view/9766
 
10. Identifier Digital Object Identifier (DOI) https://doi.org/10.24294/th9766
 
11. Source Title; vol., no. (year) Trends in Horticulture; Vol 7, No 2 (2024)
 
12. Language English=en en
 
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
 
15. Rights Copyright and permissions Copyright (c) 2024 V. Jegadeeswari, J. Kalaivani, K. R. Vijayalatha
https://creativecommons.org/licenses/by/4.0/