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Biomechanical phenotyping pipeline for stalk lodging resistance in maize.

MethodsX · 9 Jan 2024 · 10.1016/j.mex.2024.102562

Abstract

Stalk lodging (structural failure crops prior to harvest) significantly reduces annual yields of vital grain crops. The lack of standardized, high throughput phenotyping methods capable of quantifying biomechanical plant traits prevents comprehensive understanding of the genetic architecture of stalk lodging resistance. A phenotyping pipeline developed to enable higher throughput biomechanical measurements of plant traits related to stalk lodging is presented. The methods were developed using principles from the fields of engineering mechanics and metrology and they enable retention of plant-specific data instead of averaging data across plots as is typical in most phenotyping studies. This pipeline was specifically designed to be implemented in large experimental studies and has been used to phenotype over 40,000 maize stalks. The pipeline includes both lab- and field-based phenotyping methodologies and enables the collection of metadata. Best practices learned by implementing this pipeline over the past three years are presented. The specific instruments (including model numbers and manufacturers) that work well for these methods are presented, however comparable instruments may be used in conjunction with these methods as seen fit.•Efficient methods to measure biomechanical traits and record metadata related to stalk lodging.•Can be used in studies with large sample sizes (i.e., > 1,000).

Plant phenotyping relevance

トウモロコシの倒伏抵抗性に関わる生体力学的形質を高スループットに測定する、実験室・圃場対応の表現型解析パイプラインを開発・実装した研究であり、方法が中心的である。

abstractA phenotyping pipeline developed to enable higher throughput biomechanical measurements of plant traits related to stalk lodging is presented.
abstractThis pipeline was specifically designed to be implemented in large experimental studies and has been used to phenotype over 40,000 maize stalks.
abstractThe pipeline includes both lab- and field-based phenotyping methodologies and enables the collection of metadata.

Code and data availability

The paper's internode-length phenotyping workflow (YOLOv5m node detection, LabelImg verification, custom R scripts) is publicly available as the authors' InterMeas repository on GitHub, including scripts, example images, and a tutorial. Other assets (Instron methods file, DARLING data) are only supplementary or on-data

Codepublic

odal annotations across individual stalks, convert pixel distances to physical distances using the known dimensions of the imaging background, and output internodal lengths as a single excel file of stalk/internode identifiers and lengths. All scripts, example images, and a tutorial on setup and usage are available on Github at https://github.com/nbo245/InterMeas and a Shiny dashboard can be run locally to implement the internode measurement workflow within an interactive GUI environment. Measurements of minor diameter, rind thickness, rind penetration resistance and integrated puncture score

Open resource ↗nbo245/InterMeas · lines:85-89

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