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:1-37Paper 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.
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
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