Shovelomics root traits assessed on the EURoot maize panel are highly heritable across environments but show low genotype-by-nitrogen interaction

Chantal A. Le Marié, Larry M. York, Alexandre Strigens, Marcos Malosetti, Karl Heinz Camp, Silvia Giuliani, Jonathan P. Lynch, Andreas Hund

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

The need for sustainable intensification of agriculture in the coming decades requires a reduction in nitrogen (N) fertilization. One opportunity to reduce N application rates without major losses in yield is breeding for nutrient efficient crops. A key parameter that influences nutrient uptake efficiency is the root system architecture (RSA). To explore the impact of N availability on RSA and to investigate the impact of the growth environment, a diverse set of 36 inbred dent maize lines crossed to the inbred flint line UH007 as a tester was evaluated for N-response over 2 years on three different sites. RSA was investigated by excavating and imaging of the root crowns followed by image analysis with REST software. Despite strong site and year effects, trait heritability was generally high. Root traits showing the greatest heritability (> 0.7) were the width of the root stock, indicative of the horizontal expansion, and the fill factor, a measure of the density of the root system. Heritabilities were in a similar range under high or low N application. Under N deficiency the root stock size decreased, the horizontal expansion decreased and the root stock became less dense. However, there was little differential response of the genotypes to low N availability. Thus, the assessed root traits were more constitutively expressed rather than showing genotype-specific plasticity to low N. In contrast, strong differences were observed for ‘stay green’ and silage yield, indicating that these highly heritable traits are good indicators for responsiveness to low N.

Original languageEnglish
Article number173
JournalEuphytica
Volume215
Issue number10
DOIs
StatePublished - Oct 1 2019
Externally publishedYes

Funding

The authors thank Johan Prinsloo, Rainer Messmer, and Mélanie Roth for managing the field sites in Alma, South Africa, and Switzerland. Thanks to Tino Colombi, Attilio Rizzoli, Lukas Müller, Cordula Friedli, Alexander Gogos, Benjamin Lobet et al. for support during shovelomics campaigns; to Norbert Kirchgessner for the adaptation of the REST software and to Claude Welcker (INRA) and Xavier Draye (Université catholique de Louvain) for their help with the assembly of the maize panel. We kindly thank the donors of the genetic material: Department of Agroenvironmental Science and Technologies (DiSTA), University of Bologna, Italy (RootABA lines); Misión Biológica de Galicia (CSIC), Spain (EP52); Estación Experimental de Aula Dei (CSIC), Spain (EZ47, EZ11A, EZ37); Centro Investigaciones Agrarias de Mabegondo (CIAM), Spain (EC169); Misión Biológica de Galicia (CSIC), Spain (EP52); University of Hohenheim, Versuchsstation für Pflanzenzüchtung, Germany (UH007, UH250); and INRA CNRS UPS AgroParisTech, France (supply of the remaining INRA and public lines). Financial support for field research in Alma, South Africa, was provided to Jonathan Lynch by the Howard G. Buffett Foundation. This research received funding from the European Community Seventh Framework Programme FP7-KBBE-2011–5 under Grant Agreement No. 289300. The authors thank Johan Prinsloo, Rainer Messmer, and Mélanie Roth for managing the field sites in Alma, South Africa, and Switzerland. Thanks to Tino Colombi, Attilio Rizzoli, Lukas Müller, Cordula Friedli, Alexander Gogos, Benjamin Lobet et al. for support during shovelomics campaigns; to Norbert Kirchgessner for the adaptation of the REST software and to Claude Welcker (INRA) and Xavier Draye (Université catholique de Louvain) for their help with the assembly of the maize panel. We kindly thank the donors of the genetic material: Department of Agroenvironmental Science and Technologies (DiSTA), University of Bologna, Italy (RootABA lines); Misión Biológica de Galicia (CSIC), Spain (EP52); Estación Experimental de Aula Dei (CSIC), Spain (EZ47, EZ11A, EZ37); Centro Investigaciones Agrarias de Mabegondo (CIAM), Spain (EC169); Misión Biológica de Galicia (CSIC), Spain (EP52); University of Hohenheim, Versuchsstation für Pflanzenzüchtung, Germany (UH007, UH250); and INRA CNRS UPS AgroParisTech, France (supply of the remaining INRA and public lines). Financial support for field research in Alma, South Africa, was provided to Jonathan Lynch by the Howard G. Buffett Foundation. This research received funding from the European Community Seventh Framework Programme FP7-KBBE-2011–5 under Grant Agreement No. 289300.

FundersFunder number
Centro Investigaciones Agrarias de MabegondoEC169
Department of Agroenvironmental Science and Technologies
Estación Experimental de Aula DeiEZ11A
Howard G. Buffett Foundation
INRA CNRS
Misión Biológica de Galicia
Seventh Framework Programme FP7-KBBE-2011
University of Hohenheim, Versuchsstation für PflanzenzüchtungUH250, UH007
Seventh Framework Programme289300
Consejo Superior de Investigaciones CientíficasEP52
Università di Bologna

    Keywords

    • Abiotic stress
    • Genotype environment interaction
    • Heritability
    • Nitrogen
    • Root system architecture
    • Shovelomics

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