DEEPER: An Intergrated Platform for Deeper Roots

Technical Report · Sat Oct 29 04:00:00 EDT 2022

DOI:https://doi.org/10.2172/2356764· OSTI ID:2356764

Lynch, Jonathan ^[1]; Bucksch, Alex ^[2]; Liu, Suxing ^[2]; Kaeppler, Shawn ^[3]; Leon, Natalie De ^[3]; Lima, Dayane ^[3]; bennett, Malcolm ^[4]; Pridmore, Tony ^[4]; Fusi, Riccardo ^[4]; Benson, Ezenwoko ^[4]; Heinemann, Paul ^[5]; Shi, Xiaomeng ^[5]; Black, Chris ^[5]; Hanlon, Meredith ^[5]; Snyder, Bob ^[5]; Schneider, Hannah ^[5]; Sidhu, Jagdeep ^[5]

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1. Pennsylvania State Univ., University Park, PA (United States); The Pennsylvania State University
2. Univ. of Georgia, Athens, GA (United States)
3. Univ. of Wisconsin, Madison, WI (United States)
4. Univ. of Nottingham (United Kingdom)
5. Pennsylvania State Univ., University Park, PA (United States)

Crops with deeper roots would have multiple benefits, including better drought tolerance, reduced requirement for nitrogen fertilizer, and better sequestration of atmospheric CO₂. DEEPER is an integrated platform of phenomic, genomic, and in silico technologies to generate maize lines with deeper roots. DEEPER is: LEADER (Leaf Elemental Accumulation from Deep Roots) is a breakthrough technology to nondestructively measure rooting depth by using the plant itself as a sensor. LEADER uses handheld X-ray Fluorescence spectrometry to quantify foliar accumulation of elements that are differentially distributed in the soil profile. LEADER is nondestructive and is orders of magnitude cheaper, faster, and more precise than any competing assay of rooting depth in the field. LEADER is able to distinguish deep-rooted from shallow-rooted maize lines in the field without the need for costly and noisy soil coring. RootRobot/DIRT3D, to automatically phenotype root architecture in any field, combining RootRobot, a mechatronics platform to excavate, clean, section, and image mature root crowns, with DIRT3D, software to quantify architectural traits in 3D. Anatomics, a high-throughput platform to phenotype root anatomy, combining LAT 2.0, a technology for 3D imaging of root anatomy and composition, with RootScan3D, software to automatically extract 3D anatomical and cell wall composition metrics from LAT 2.0 output. Using this platform we discovered two novel root traits, parenchyma cell wall thickness and multiseriate cortical sclerenchyma, that improve rooting depth and drought tolerance in maize and wheat. OpenSimRoot/Deep, software to simulate root interaction with hard subsoils. Using this platform we discovered novel concepts regarding how to increase crop rooting depth by modulating how individual root axes respond to hard soil. DeepGenes, a toolkit of genes, parent lines, and genomic selection strategies to enable breeding hybrids with deeper roots. We discovered 3 novel root genes that increase rooting depth in maize and wheat. DEEPER discovered novel root phenotypes for deeper rooting, and delivered validated ideotypes for deeper-rooted maize; novel technologies to rapidly assess root depth, root architecture and anatomy in field-grown plants; novel software tools for root modeling and 3D image analysis of root architecture and anatomy; and validated genes and genomic selection models to deploy traits for deeper rooting in maize breeding. Each DEEPER technology is transformative in its own right, and exceeds existing technologies. They are mutually synergistic, deployable for field-grown plants, and are ready for application. The phenotyping and modeling technologies are readily applicable to many crops, and genetic leads in maize may have utility in other grasses. Taken as a whole they represent a transformative platform to develop deeper-rooted crops, with greater drought tolerance, reduced fertilizer requirement, and greater carbon sequestration.

• Research Organization: Pennsylvania State Univ., University Park, PA (United States)
• Sponsoring Organization: USDOE Advanced Research Projects Agency - Energy (ARPA-E)
• DOE Contract Number: AR0000821
• OSTI ID: 2356764
• Report Number(s): DOE-PSU--AR-0000821
• Country of Publication: United States
• Language: English

Related Subjects

59 BASIC BIOLOGICAL SCIENCES