High‐throughput 3D modelling to dissect the genetic control of leaf elongation in barley (Hordeum vulgare). (22nd February 2019)

• Record Type: Journal Article
• Authors: Ward, Ben; Brien, Chris; Oakey, Helena; Pearson, Allison; Negrão, Sónia; Schilling, Rhiannon K.; Taylor, Julian; Jarvis, David; Timmins, Andy; Roy, Stuart J.; Tester, Mark; Berger, Bettina; van den Hengel, Anton
• Is Part Of: Plant journal. Volume 98:Number 3(2019)
• Page Start: 555
• Page End: 570
• Publication Date: 2019-02-22
• Subjects: 3D modelling -- phenotyping -- leaf elongation -- cereals -- shoot architecture -- quantitative trait locus (QTL) -- salinity -- technical advance; Plant molecular biology -- Periodicals; Plant cells and tissues -- Periodicals; Botany -- Periodicals; 580
• DOI: 10.1111/tpj.14225
• Languages: English
• ISSNs: 0960-7412

Abstract

Summary: To optimize shoot growth and structure of cereals, we need to understand the genetic components controlling initiation and elongation. While measuring total shoot growth at high throughput using 2D imaging has progressed, recovering the 3D shoot structure of small grain cereals at a large scale is still challenging. Here, we present a method for measuring defined individual leaves of cereals, such as wheat and barley, using few images. Plant shoot modelling over time was used to measure the initiation and elongation of leaves in a bi‐parental barley mapping population under low and high soil salinity. We detected quantitative trait loci (QTL) related to shoot growth per se, using both simple 2D total shoot measurements and our approach of measuring individual leaves. In addition, we detected QTL specific to leaf elongation and not to total shoot size. Of particular importance was the detection of a QTL on chromosome 3H specific to the early responses of leaf elongation to salt stress, a locus that could not be detected without the computer vision tools developed in this study. Significance Statement: To dissect overall shoot growth in small grain cereals, a computer vision‐based approach was developed for the measurement of individual leaves, which requires only few input images, making image acquisition fast and high throughput. The applicability of this approach is shown by mapping QTL for leaf elongation in a barley mapping population in response to salinity.