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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Universidade Federal de Viçosa
2022
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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 |
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Gonçalves,Gabriella Rodrigues Prins,Cláudia Lopes Diel,Maria Inês Lúcio,Alessandro Dal’Col |
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Gonçalves,Gabriella Rodrigues Prins,Cláudia Lopes Diel,Maria Inês Lúcio,Alessandro Dal’Col Linear relationships between biometric variables in lettuce seedlings |
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Gonçalves,Gabriella Rodrigues Prins,Cláudia Lopes Diel,Maria Inês Lúcio,Alessandro Dal’Col |
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Gonçalves,Gabriella Rodrigues |
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Linear relationships between biometric variables in lettuce seedlings |
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Linear relationships between biometric variables in lettuce seedlings |
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Linear relationships between biometric variables in lettuce seedlings |
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Linear relationships between biometric variables in lettuce seedlings |
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Linear relationships between biometric variables in lettuce seedlings |
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linear relationships between biometric variables in lettuce seedlings |
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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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Universidade Federal de Viçosa |
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2022 |
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http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-737X2022000600659 |
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