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Bioinformatics in Plant Breeding and Research on Disease Resistance

In the context of plant breeding, bioinformatics can empower genetic and genomic selection to determine the optimal combination of genotypes that will produce a desired phenotype and help expedite the isolation of these new varieties. Bioinformatics is also instrumental in collecting and processing...

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Detalles Bibliográficos
Autores principales: Mu, Huiying, Wang, Baoshan, Yuan, Fang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9696050/
https://www.ncbi.nlm.nih.gov/pubmed/36432847
http://dx.doi.org/10.3390/plants11223118
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author Mu, Huiying
Wang, Baoshan
Yuan, Fang
author_facet Mu, Huiying
Wang, Baoshan
Yuan, Fang
author_sort Mu, Huiying
collection PubMed
description In the context of plant breeding, bioinformatics can empower genetic and genomic selection to determine the optimal combination of genotypes that will produce a desired phenotype and help expedite the isolation of these new varieties. Bioinformatics is also instrumental in collecting and processing plant phenotypes, which facilitates plant breeding. Robots that use automated and digital technologies to collect and analyze different types of information to monitor the environment in which plants grow, analyze the environmental stresses they face, and promptly optimize suboptimal and adverse growth conditions accordingly, have helped plant research and saved human resources. In this paper, we describe the use of various bioinformatics databases and algorithms and explore their potential applications in plant breeding and for research on plant disease resistance.
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spelling pubmed-96960502022-11-26 Bioinformatics in Plant Breeding and Research on Disease Resistance Mu, Huiying Wang, Baoshan Yuan, Fang Plants (Basel) Review In the context of plant breeding, bioinformatics can empower genetic and genomic selection to determine the optimal combination of genotypes that will produce a desired phenotype and help expedite the isolation of these new varieties. Bioinformatics is also instrumental in collecting and processing plant phenotypes, which facilitates plant breeding. Robots that use automated and digital technologies to collect and analyze different types of information to monitor the environment in which plants grow, analyze the environmental stresses they face, and promptly optimize suboptimal and adverse growth conditions accordingly, have helped plant research and saved human resources. In this paper, we describe the use of various bioinformatics databases and algorithms and explore their potential applications in plant breeding and for research on plant disease resistance. MDPI 2022-11-15 /pmc/articles/PMC9696050/ /pubmed/36432847 http://dx.doi.org/10.3390/plants11223118 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Mu, Huiying
Wang, Baoshan
Yuan, Fang
Bioinformatics in Plant Breeding and Research on Disease Resistance
title Bioinformatics in Plant Breeding and Research on Disease Resistance
title_full Bioinformatics in Plant Breeding and Research on Disease Resistance
title_fullStr Bioinformatics in Plant Breeding and Research on Disease Resistance
title_full_unstemmed Bioinformatics in Plant Breeding and Research on Disease Resistance
title_short Bioinformatics in Plant Breeding and Research on Disease Resistance
title_sort bioinformatics in plant breeding and research on disease resistance
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9696050/
https://www.ncbi.nlm.nih.gov/pubmed/36432847
http://dx.doi.org/10.3390/plants11223118
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