RankspeQ: An R package platform for genotype characterization and performance-ranking based on MultispeQ measurements

With the new technologies in plant phenotyping, robust and reliable tools are still required to analyze large-scale and multivariate datasets. The RankspeQ is a novel R package developed to evaluate genotype performance and to support selection-driven decisions based on leaf traits and environment...

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Main Authors: Soto, Jonatan, Aparicio, Johan, Darghan, Aquiles, Urban, Milan Oldřich
Format: Journal Article
Language:Inglés
Published: Elsevier 2023
Subjects:
Online Access:https://hdl.handle.net/10568/134557
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author Soto, Jonatan
Aparicio, Johan
Darghan, Aquiles
Urban, Milan Oldřich
author_browse Aparicio, Johan
Darghan, Aquiles
Soto, Jonatan
Urban, Milan Oldřich
author_facet Soto, Jonatan
Aparicio, Johan
Darghan, Aquiles
Urban, Milan Oldřich
author_sort Soto, Jonatan
collection Repository of Agricultural Research Outputs (CGSpace)
description With the new technologies in plant phenotyping, robust and reliable tools are still required to analyze large-scale and multivariate datasets. The RankspeQ is a novel R package developed to evaluate genotype performance and to support selection-driven decisions based on leaf traits and environment-related variables measured by the MultispeQ device. The presented software consists of 3 main functions: i) data cleaning, ii) computational trait- genotype ranking, and iii) comparison of accessions against grain yield or another crop trait. Optionally, the evaluation can be performed by alternative groups which can be defined by the user, such as genepools, families, among others. The software development as well as the data evaluation was made with datasets of Phaseolus spp. experiments. However, R code - with easy modifications - can be used on any other crop. This valuable tool helps to understand the hidden potential of MultispeQ equipment and - most - identify crop traits useful in genotype characterization in particular environments. The tool has direct potential for physiologists, breeders etc. as it identifies the best performing accessions. However, it also targets false positive results with low yield but high photosynthetic performance. We also propose to use a new efficiency index to calculate the ratio of incoming radiation for net photosynthesis in proportion to light dissipation processes. Further updates will include new algorithms (e.g. trait heritability), generalization to other species and a shiny interface to make the software user friendly.
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publishDate 2023
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spelling CGSpace1345572025-11-11T19:04:25Z RankspeQ: An R package platform for genotype characterization and performance-ranking based on MultispeQ measurements Soto, Jonatan Aparicio, Johan Darghan, Aquiles Urban, Milan Oldřich software development data plant breeding fluorescence photosynthesis efficiency phenotypes information processing With the new technologies in plant phenotyping, robust and reliable tools are still required to analyze large-scale and multivariate datasets. The RankspeQ is a novel R package developed to evaluate genotype performance and to support selection-driven decisions based on leaf traits and environment-related variables measured by the MultispeQ device. The presented software consists of 3 main functions: i) data cleaning, ii) computational trait- genotype ranking, and iii) comparison of accessions against grain yield or another crop trait. Optionally, the evaluation can be performed by alternative groups which can be defined by the user, such as genepools, families, among others. The software development as well as the data evaluation was made with datasets of Phaseolus spp. experiments. However, R code - with easy modifications - can be used on any other crop. This valuable tool helps to understand the hidden potential of MultispeQ equipment and - most - identify crop traits useful in genotype characterization in particular environments. The tool has direct potential for physiologists, breeders etc. as it identifies the best performing accessions. However, it also targets false positive results with low yield but high photosynthetic performance. We also propose to use a new efficiency index to calculate the ratio of incoming radiation for net photosynthesis in proportion to light dissipation processes. Further updates will include new algorithms (e.g. trait heritability), generalization to other species and a shiny interface to make the software user friendly. 2023-12 2023-11-20T10:37:19Z 2023-11-20T10:37:19Z Journal Article https://hdl.handle.net/10568/134557 en Open Access application/pdf Elsevier Soto, J.; Aparicio, J.; Darghan, A.; Urban, M.O. (2023) RankspeQ: An R package platform for genotype characterization and performance-ranking based on MultispeQ measurements. SoftwareX 24: 101544. ISSN: 2352-7110
spellingShingle software development
data
plant breeding
fluorescence
photosynthesis
efficiency
phenotypes
information processing
Soto, Jonatan
Aparicio, Johan
Darghan, Aquiles
Urban, Milan Oldřich
RankspeQ: An R package platform for genotype characterization and performance-ranking based on MultispeQ measurements
title RankspeQ: An R package platform for genotype characterization and performance-ranking based on MultispeQ measurements
title_full RankspeQ: An R package platform for genotype characterization and performance-ranking based on MultispeQ measurements
title_fullStr RankspeQ: An R package platform for genotype characterization and performance-ranking based on MultispeQ measurements
title_full_unstemmed RankspeQ: An R package platform for genotype characterization and performance-ranking based on MultispeQ measurements
title_short RankspeQ: An R package platform for genotype characterization and performance-ranking based on MultispeQ measurements
title_sort rankspeq an r package platform for genotype characterization and performance ranking based on multispeq measurements
topic software development
data
plant breeding
fluorescence
photosynthesis
efficiency
phenotypes
information processing
url https://hdl.handle.net/10568/134557
work_keys_str_mv AT sotojonatan rankspeqanrpackageplatformforgenotypecharacterizationandperformancerankingbasedonmultispeqmeasurements
AT apariciojohan rankspeqanrpackageplatformforgenotypecharacterizationandperformancerankingbasedonmultispeqmeasurements
AT darghanaquiles rankspeqanrpackageplatformforgenotypecharacterizationandperformancerankingbasedonmultispeqmeasurements
AT urbanmilanoldrich rankspeqanrpackageplatformforgenotypecharacterizationandperformancerankingbasedonmultispeqmeasurements