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Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/49789
Title: Phenotypic variation of cassava root traits and their responses to drought
Authors: Jitrana Kengkanna
Phissinee Jakaew
Suwaluk Amawan
Natalie Busener
Alexander Bucksch
Patompong Saengwilai
The University of Georgia
Rayong Field Crops Research Center
Mahidol University
Keywords: Agricultural and Biological Sciences
Issue Date: 1-Apr-2019
Citation: Applications in Plant Sciences. Vol.7, No.4 (2019)
Abstract: © 2019 Kengkanna et al. Applications in Plant Sciences is published by Wiley Periodicals, Inc. on behalf of the Botanical Society of America Premise of the Study: The key to increased cassava production is balancing the trade-off between marketable roots and traits that drive nutrient and water uptake. However, only a small number of protocols have been developed for cassava roots. Here, we introduce a set of new variables and methods to phenotype cassava roots and enhance breeding pipelines. Methods: Different cassava genotypes were planted in pot and field conditions under well-watered and drought treatments. We developed cassava shovelomics and used digital imaging of root traits (DIRT) to evaluate geometrical root traits in addition to common traits (e.g., length, number). Results: Cassava shovelomics and DIRT were successfully implemented to extract root phenotypes, and a large phenotypic variation for root traits was observed. Significant correlations were found among root traits measured manually and by DIRT. Drought significantly decreased shoot dry weight, total root number, and root length by 84%, 30%, and 25%, respectively. High adventitious root number was associated with increased shoot dry weight (r = 0.44) under drought. Discussion: Our methods allow for high-throughput cassava root phenotyping, which makes a breeding program targeting root traits feasible. We suggest that root number is a breeding target for improved cassava production under drought.
URI: http://repository.li.mahidol.ac.th/dspace/handle/123456789/49789
metadata.dc.identifier.url: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85064845396&origin=inward
ISSN: 15372197
21680450
Appears in Collections:Scopus 2019

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