Linear relationships between biometric variables in lettuce seedlings

ABSTRACT Seedling production is an important step in growing vegetables. The study of relationships between variables has applications in practically all areas of study and is useful in identifying relationships among quality variables in vegetable seedlings. Thus, this work aims to estimate linear relationships between biometric variables in lettuce seedlings. The seedlings were grown in expanded polystyrene trays (n = 4) with 128 and 200 cells each. Leaf area, stem diameter, shoot height, length, area, volume of the root, dry and fresh shoot mass variables were measured and evaluated with Pearson's correlation analysis, multicollinearity diagnosis, condition number and the variance inflation factor, path analysis and canonical correlations. The results show linear relationships between the variables. For the 128 cell trays, there was a relationship between the total fresh mass and fresh shoot mass variables and between the total fresh mass and dry shoot mass variables. For the 200-cell trays, significant correlation was observed between the characters total fresh mass and fresh shoot mass variables and between root area and root volume variables, indicating that the greater the total fresh mass, the greater the fresh shoot mass and the greater the root area, the greater the root volume.

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Main Authors: Gonçalves,Gabriella Rodrigues, Prins,Cláudia Lopes, Diel,Maria Inês, Lúcio,Alessandro Dal’Col
Format: Digital revista
Language:English
Published: Universidade Federal de Viçosa 2022
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2022000600659
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spelling oai:scielo:S0034-737X20220006006592023-01-05Linear relationships between biometric variables in lettuce seedlingsGonçalves,Gabriella RodriguesPrins,Cláudia LopesDiel,Maria InêsLúcio,Alessandro Dal’Col Lactuca sativa L. correlation path analysis ABSTRACT Seedling production is an important step in growing vegetables. The study of relationships between variables has applications in practically all areas of study and is useful in identifying relationships among quality variables in vegetable seedlings. Thus, this work aims to estimate linear relationships between biometric variables in lettuce seedlings. The seedlings were grown in expanded polystyrene trays (n = 4) with 128 and 200 cells each. Leaf area, stem diameter, shoot height, length, area, volume of the root, dry and fresh shoot mass variables were measured and evaluated with Pearson's correlation analysis, multicollinearity diagnosis, condition number and the variance inflation factor, path analysis and canonical correlations. The results show linear relationships between the variables. For the 128 cell trays, there was a relationship between the total fresh mass and fresh shoot mass variables and between the total fresh mass and dry shoot mass variables. For the 200-cell trays, significant correlation was observed between the characters total fresh mass and fresh shoot mass variables and between root area and root volume variables, indicating that the greater the total fresh mass, the greater the fresh shoot mass and the greater the root area, the greater the root volume.info:eu-repo/semantics/openAccessUniversidade Federal de ViçosaRevista Ceres v.69 n.6 20222022-11-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2022000600659en10.1590/0034-737x202269060004
institution SCIELO
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country Brasil
countrycode BR
component Revista
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databasecode rev-scielo-br
tag revista
region America del Sur
libraryname SciELO
language English
format Digital
author Gonçalves,Gabriella Rodrigues
Prins,Cláudia Lopes
Diel,Maria Inês
Lúcio,Alessandro Dal’Col
spellingShingle Gonçalves,Gabriella Rodrigues
Prins,Cláudia Lopes
Diel,Maria Inês
Lúcio,Alessandro Dal’Col
Linear relationships between biometric variables in lettuce seedlings
author_facet Gonçalves,Gabriella Rodrigues
Prins,Cláudia Lopes
Diel,Maria Inês
Lúcio,Alessandro Dal’Col
author_sort Gonçalves,Gabriella Rodrigues
title Linear relationships between biometric variables in lettuce seedlings
title_short Linear relationships between biometric variables in lettuce seedlings
title_full Linear relationships between biometric variables in lettuce seedlings
title_fullStr Linear relationships between biometric variables in lettuce seedlings
title_full_unstemmed Linear relationships between biometric variables in lettuce seedlings
title_sort linear relationships between biometric variables in lettuce seedlings
description ABSTRACT Seedling production is an important step in growing vegetables. The study of relationships between variables has applications in practically all areas of study and is useful in identifying relationships among quality variables in vegetable seedlings. Thus, this work aims to estimate linear relationships between biometric variables in lettuce seedlings. The seedlings were grown in expanded polystyrene trays (n = 4) with 128 and 200 cells each. Leaf area, stem diameter, shoot height, length, area, volume of the root, dry and fresh shoot mass variables were measured and evaluated with Pearson's correlation analysis, multicollinearity diagnosis, condition number and the variance inflation factor, path analysis and canonical correlations. The results show linear relationships between the variables. For the 128 cell trays, there was a relationship between the total fresh mass and fresh shoot mass variables and between the total fresh mass and dry shoot mass variables. For the 200-cell trays, significant correlation was observed between the characters total fresh mass and fresh shoot mass variables and between root area and root volume variables, indicating that the greater the total fresh mass, the greater the fresh shoot mass and the greater the root area, the greater the root volume.
publisher Universidade Federal de Viçosa
publishDate 2022
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2022000600659
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