Article

Optical topometry and machine learning to rapidly phenotype stomatal patterning traits for QTL mapping in maize

2020-10-12

Abstract excerpt

Stomata are adjustable pores on leaf surfaces that regulate the trade-off of CO 2 uptake with water vapor loss, thus having critical roles in controlling photosynthetic carbon gain and plant water use. The lack of easy, rapid methods for phenotyping epidermal cell traits have limited the use of quantitative, forward and reverse genetics to discover the genetic basis of stomatal patterning. A new high-throughput e...

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Literature Corpus work: c06ea593-a105-5ba7-a7a1-d51277c8615e
DOI: 10.1101/2020.10.09.333880

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