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Robustness of Automated Phenotyping for Plant Breeding Systems | OMICS International| Abstract

Journal of Plant Genetics and Breeding
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  • Short Communication   
  • J Plant Genet Breed 2023, Vol 7(4): 157
  • DOI: 10.4172/jpgb.1000157

Robustness of Automated Phenotyping for Plant Breeding Systems

Schulz Wiebke*
University of Bonn, Institute for Food and Resource Economics, Germany
*Corresponding Author : Schulz Wiebke, University of Bonn, Institute for Food and Resource Economics, Germany, Email: sw.wienke@schulz.edu

Received Date: Jul 03, 2023 / Published Date: Jul 29, 2023

Abstract

Adapting to climate change, maintaining food security, and halting the loss of biodiversity are just a few of the sustainability issues that automated phenotyping promises to solve. However, these issues are highly dependent on the crop genetic diversity utilized and can be traced back to plant breeding. Automated phenotyping is typically viewed from a technical point of view and valued for its benefits in plant breeding research by plant science and engineering. On the other hand, we present a perspective that is more comprehensive and inquire into the social, ecological, and technical impacts on the robustness of on-site crop genetic diversity from the breeding nursery where varieties for farming are produced to the laboratory. We contend that systemic robustness is impacted in two ways by automated phenotyping. By accelerating the breeding process, it enhances adaptive capacity on the one hand. However, its implementation may destabilize the system and have unanticipated negative effects on the genetic diversity of local crops. As a result, we call for the system's governance to explicitly monitor any potential side effects.

Citation: Wiebke S (2023) Robustness of Automated Phenotyping for Plant Breeding Systems. J Plant Genet Breed 7: 157. Doi: 10.4172/jpgb.1000157

Copyright: © 2023 Wiebke S. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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