Relationship between the plant, seeds and physiological characteristics in the soybean

ABSTRACT Canonical correlations estimate important relationships between sets of variables, making it easier to manage studies of a large number of characteristics. The aim of this study was to identify the canonical correlations between the seeds, physiological and plant characteristics of soybean,...

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Main Authors: Jessica Deolinda Leivas Stecca, Maria Inês Diel, Alessandro Dal'Col Lúcio, Evandro Ademir Deak, Matheus Martins Ferreira, Glauber Monçon Fipke, Lucas Nascimento Brum, Thomas Newton Martin
Format: Article
Language:English
Published: Universidade Federal do Ceará 2025-08-01
Series:Revista Ciência Agronômica
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Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902025000100672&lng=en&tlng=en
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author Jessica Deolinda Leivas Stecca
Maria Inês Diel
Alessandro Dal'Col Lúcio
Evandro Ademir Deak
Matheus Martins Ferreira
Glauber Monçon Fipke
Lucas Nascimento Brum
Thomas Newton Martin
author_facet Jessica Deolinda Leivas Stecca
Maria Inês Diel
Alessandro Dal'Col Lúcio
Evandro Ademir Deak
Matheus Martins Ferreira
Glauber Monçon Fipke
Lucas Nascimento Brum
Thomas Newton Martin
author_sort Jessica Deolinda Leivas Stecca
collection DOAJ
description ABSTRACT Canonical correlations estimate important relationships between sets of variables, making it easier to manage studies of a large number of characteristics. The aim of this study was to identify the canonical correlations between the seeds, physiological and plant characteristics of soybean, as well as the Pearson linear correlations within each set of characteristics. A randomised block design was used in the field and a completely randomised design in the laboratory, with four and three replications respectively. Canonical groups were defined between the set of plant characteristics (weight and number of nodules, shoot dry weight, number of pods, 1000-grain weight, and grain yield) and the set of seed variables (shoot and root length, plant dry weight, accelerated ageing, electrical conductivity, first count and germination), the set of physiological variables (protein, carotenoid and guaiacol peroxidase content of the grains and leaves) and the plant variables, and the physiological variables and the seeds. Electrical conductivity has a negative correlation with first count and germination. Grain yields are higher when the weight of the plants, the 1000-grain weight, and the number of vegetable parts per plant are greater, while carotenoids are correlated with the chlorophyll levels. Higher levels of protein in the grains and leaves are associated with a higher 1000-grain weight and higher grain yield. The canonical correlation analysis shows that the sets of plant, seed and physiological variables are not independent, and defines the characteristics that should be given priority in the evaluations.
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spelling doaj-art-fe3d3052ff144367b3facd091169d2b92025-08-20T03:59:31ZengUniversidade Federal do CearáRevista Ciência Agronômica1806-66902025-08-015610.5935/1806-6690.20250067Relationship between the plant, seeds and physiological characteristics in the soybeanJessica Deolinda Leivas Steccahttps://orcid.org/0000-0002-2939-1389Maria Inês Dielhttps://orcid.org/0000-0002-7905-2166Alessandro Dal'Col Lúciohttps://orcid.org/0000-0003-0761-4200Evandro Ademir Deakhttps://orcid.org/0000-0003-0471-0707Matheus Martins Ferreirahttps://orcid.org/0000-0002-4555-7852Glauber Monçon Fipkehttps://orcid.org/0000-0001-9621-1678Lucas Nascimento Brumhttps://orcid.org/0009-0009-2225-825XThomas Newton Martinhttps://orcid.org/0000-0003-4549-3980ABSTRACT Canonical correlations estimate important relationships between sets of variables, making it easier to manage studies of a large number of characteristics. The aim of this study was to identify the canonical correlations between the seeds, physiological and plant characteristics of soybean, as well as the Pearson linear correlations within each set of characteristics. A randomised block design was used in the field and a completely randomised design in the laboratory, with four and three replications respectively. Canonical groups were defined between the set of plant characteristics (weight and number of nodules, shoot dry weight, number of pods, 1000-grain weight, and grain yield) and the set of seed variables (shoot and root length, plant dry weight, accelerated ageing, electrical conductivity, first count and germination), the set of physiological variables (protein, carotenoid and guaiacol peroxidase content of the grains and leaves) and the plant variables, and the physiological variables and the seeds. Electrical conductivity has a negative correlation with first count and germination. Grain yields are higher when the weight of the plants, the 1000-grain weight, and the number of vegetable parts per plant are greater, while carotenoids are correlated with the chlorophyll levels. Higher levels of protein in the grains and leaves are associated with a higher 1000-grain weight and higher grain yield. The canonical correlation analysis shows that the sets of plant, seed and physiological variables are not independent, and defines the characteristics that should be given priority in the evaluations.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902025000100672&lng=en&tlng=enGlycine max (L)Canonical correlationsSet of variablesPlant physiologyNodulation
spellingShingle Jessica Deolinda Leivas Stecca
Maria Inês Diel
Alessandro Dal'Col Lúcio
Evandro Ademir Deak
Matheus Martins Ferreira
Glauber Monçon Fipke
Lucas Nascimento Brum
Thomas Newton Martin
Relationship between the plant, seeds and physiological characteristics in the soybean
Revista Ciência Agronômica
Glycine max (L)
Canonical correlations
Set of variables
Plant physiology
Nodulation
title Relationship between the plant, seeds and physiological characteristics in the soybean
title_full Relationship between the plant, seeds and physiological characteristics in the soybean
title_fullStr Relationship between the plant, seeds and physiological characteristics in the soybean
title_full_unstemmed Relationship between the plant, seeds and physiological characteristics in the soybean
title_short Relationship between the plant, seeds and physiological characteristics in the soybean
title_sort relationship between the plant seeds and physiological characteristics in the soybean
topic Glycine max (L)
Canonical correlations
Set of variables
Plant physiology
Nodulation
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902025000100672&lng=en&tlng=en
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