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Non-destructive leaf area estimation model for overall growth performances in relation to yield attributes of cassava (Manihot esculenta Cranz) under water deficit conditions
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Document Title
Non-destructive leaf area estimation model for overall growth performances in relation to yield attributes of cassava (Manihot esculenta Cranz) under water deficit conditions
Author
Pipatsitee P., Eiumnoh A., Praseartkul P., Ponganan N., Taota K., Kongpugdee S., Sakulleerungroj K., Cha-Um S.
Name from Authors Collection
Affiliations
National Center for Genetic Engineering and Biotechnology (BIOTEC), National Science and Technology Development Agency (NSTDA), 113 Thailand Science Park, Phahonyothin Road, Khlong Nueng, Khlong Luang, Pathum Thani, 12120, Thailand
Type
Article
Source Title
Notulae Botanicae Horti Agrobotanici Cluj-Napoca
ISSN
0255965X
Year
2019
Volume
47
Issue
3
Open Access
All Open Access, Bronze
Publisher
Academic Press
DOI
10.15835/nbha47311487
Format
Abstract
Cassava is a tropical storage root crop, a source of carbohydrate and alternative energy. It has been classified as "drought tolerant plant" for the whole life cycle, except during the root initiation stage (120-150 DAP). Leaf area index (LAI) is one of the most parameters representing the overall growth and yield prediction in cassava. The aim of this investigation was to validate the physiological and growth performance of cassava in responses to water deficit stress in the field trial as well as to investigate the leaf area index as an important factor to cassava growth and storage root bulking. Leaf relative water content in cassava declined significantly upon a long period of water withholding, and regulated non-photochemical quenching (NPQ), leading to chlorophyll degradation, reduced number of leaves and limited leaf area index (LAI) and loss of storage root yield when compared with well-irrigated plants. Non-destructive leaf area estimation model under water deficit stress condition using spectral reflectance to determine the LAI and VIs was validated. The Ratio Vegetation Index (RVI) was suitable model with high coefficient of determination (R 2 = 0.89). However, the RVI as LAI at 150 DAP (120 d water withholding) could be considered as the critical point to indicate cassava growth and yield performance. Based on the results, cassava growth, biomass and yield in the different environments may further be investigated, taking into consideration the genotypic variation and using remote sensing technology for rapid monitoring and accurate and cost-effective data assessment. © 2019, Academic Press.
Industrial Classification
Knowledge Taxonomy Level 1
Knowledge Taxonomy Level 2
Knowledge Taxonomy Level 3
Funding Sponsor
National Science and Technology Development Agency; National Research Council of Thailand
License
N/A
Rights
N/A
Publication Source
Scopus