← Papers

Unverified paper record

A low-cost greenhouse-based high-throughput phenotyping platform for genetic studies: a case study in maize under inoculation with plant growth-promoting bacteria

bioRxiv (Cold Spring Harbor Laboratory) · 13 Aug 2021 · 10.1101/2021.08.12.456112

Abstract

Abstract Greenhouse-based high-throughput phenotyping (HTP) presents a useful approach for studying novel plant growth-promoting bacteria (PGPB). Despite the potential of this approach to leverage genetic variability for breeding new maize cultivars exhibiting highly stable symbiosis with PGPB, greenhouse-based HTP platforms are not yet widely used because they are highly expensive; hence, it is challenging to perform HTP studies under a limited budget. In this study, we built a low-cost greenhouse-based HTP platform to collect growth-related image-derived phenotypes. We assessed 360 inbred maize lines with or without PGPB inoculation under nitrogen-limited conditions. Plant height, canopy coverage, and canopy volume obtained from photogrammetry were evaluated five times during early maize development. A plant biomass index was constructed as a function of plant height and canopy coverage. Inoculation with PGPB promoted plant growth. Phenotypic correlations between the image-derived phenotypes and manual measurements were at least 0.6. The genomic heritability estimates of the image-derived phenotypes ranged from 0.23 to 0.54. Moderate-to-strong genomic correlations between the plant biomass index and shoot dry mass (0.24–0.47) and between HTP-based plant height and manually measured plant height (0.55–0.68) across the developmental stages showed the utility of our HTP platform. Collectively, our results demonstrate the usefulness of the low-cost HTP platform for large-scale genetic and management studies to capture plant growth. Core ideas A low-cost greenhouse-based HTP platform was developed. Image-derived phenotypes presented moderate to high genomic heritabilities and correlations. Plant growth-promoting bacteria can improve plant resilience under nitrogen-limited conditions.

Plant phenotyping relevance

低コスト温室HTPプラットフォームを開発し、画像から植物高・キャノピー被覆・体積などの形質を抽出・検証しており、表現型取得手法が研究の中心である。

abstractIn this study, we built a low-cost greenhouse-based HTP platform to collect growth-related image-derived phenotypes.
abstractPlant height, canopy coverage, and canopy volume obtained from photogrammetry were evaluated five times during early maize development.
abstractPhenotypic correlations between the image-derived phenotypes and manual measurements were at least 0.6.

Code and data availability

The article describes a low-cost greenhouse HTP platform and image-derived phenotyping of a 360-line tropical maize association panel under PGPB inoculation. The only paper-specific public asset explicitly referenced is a Mendeley Data deposit containing information about the maize panel used in the experiment. No phen

Datasetpublic

lines was used to study the response 172 to PGPB. Of these, 179 inbred lines were from the Luiz de Queiroz College of Agriculture- 173 University of Sao Paulo (ESALQ-USP) and 181 were from the Instituto de Desenvolvimento 174 Rural do Paraná (IAPAR). More information about this panel is available on the Mendeley 175 platform (https://data.mendeley.com/datasets/5gvznd2b3n). 176 The inbred lines were evaluated under two managements: with (B+) and without (B-) 177 PGPB inoculation under nitrogen stress. The B+ management consisted of a synthetic pop- 178 ulation of four PGPB. Bacillus thuringiensis RZ2MS9, Delftia sp. RZ4MS18 (Batista et al., 179 2018, 2021), Pantoea agglomerans 33.1 (Quecine

Open resource ↗Mendeley · 5gvznd2b3n · pdf-layout-page:8 lines:1-37

This is an automatically classified, unverified record. Curator approval is required before any resource enters the Catalog.