Journal
APPLICATIONS IN PLANT SCIENCES
Volume 7, Issue 4, Pages -Publisher
WILEY
DOI: 10.1002/aps3.1238
Keywords
cassava; digital imaging of root traits (DIRT); drought; root; shovelomics
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Funding
- Science Achievement Scholarship of Thailand (SAST), Mahidol University
- Rayong Field Crops Research Center
- National Science Foundation [ACI-1548562]
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Premise of the StudyThe 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. MethodsDifferent 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). ResultsCassava 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. DiscussionOur 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.
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