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      Linear relationships between cherry tomato traits Translated title: Relações lineares entre caracteres de tomate do tipo cereja

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          Abstract

          ABSTRACT: The objective of this study was to identify the linear relationship between cherry tomato yield components. Two uniformity trials, without treatments, were conducted on Lilli cherry tomato plants in a plastic greenhouse during the 2014 spring/summer season, with the plants in two stems. Variables observed for each plant were mean fruit length, mean fruit width, mean fruit weight, number of bunches, number of fruits per bunch, total number of fruits, and total fruit weight; a Pearson's correlation matrix was used to estimate the relationship between the variables. Path analysis was then performed considering total fruit weight as the main variable and the remaining variables as explanatory. Due to the severe multicollinearity, the variable 'number of fruits per bunch' was eliminated. Pearson's correlation coefficients were significant between explanatory and main variables. Mean fruit weight has a low cause-and-effect relationship with the total weight of fruits produced. A low cause-and-effect relationship was also observed between number of fruits and number of bunches. Cherry tomato productivity is directly related to the number of fruits per plant.

          Translated abstract

          RESUMO: O objetivo deste artigo foi identificar a relação linear entre os componentes da produtividade do tomate cereja. Dois ensaios de uniformidade, sem tratamentos, foram instalados em estufas plásticas nas estações primavera/verão de 2014 com tomate cereja Lilli, com as plantas conduzidas em duas hastes. As variáveis observadas em cada planta foram o comprimento médio de fruto, a sua largura média, o peso médio seu, o número de cachos, o número de frutos por cacho, o número total de frutos e o peso total de frutos, sendo estimada a matriz de correlação de Pearson entre elas. Posteriormente, foi realizada a análise de trilha considerando-se o peso total de frutos como variável principal e as demais como variáveis explicativas. Devido à multicolinearidade severa, optou-se pela eliminação da variável número de frutos por cacho. Os coeficientes de correlação de Pearson, entre as variáveis explicativas e a variável principal, foram significativos. O peso médio de frutos tem baixa relação de causa e efeito com o peso total de frutos produzidos. Também, o número de frutos e o número de cachos apresentaram baixa relação de causa e efeito entre si. A produtividade do tomate cereja está diretamente relacionada com o número de frutos por planta.

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          Correlation and Causation

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            Programa Genes - Estatística Experimental e Matrizes

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              Recomendações de adubações e de calagem para os estados do Rio Grande do Sul e Santa Catarina

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                Author and article information

                Contributors
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Journal
                cr
                Ciência Rural
                Cienc. Rural
                Universidade Federal de Santa Maria
                1678-4596
                2017
                : 47
                : 3
                : e20160666
                Affiliations
                [1 ] Universidade Federal de Santa Maria Brazil
                [2 ] Universidade Federal de Santa Maria Brazil
                Article
                S0103-84782017000300202
                10.1590/0103-8478cr20160666
                f804c8a9-18e1-4762-a831-39a915f97e08

                This work is licensed under a Creative Commons Attribution 4.0 International License.

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                SciELO Brazil

                Self URI (journal page): http://www.scielo.br/scielo.php?script=sci_serial&pid=0103-8478&lng=en
                Categories
                AGRONOMY

                Horticulture
                Solanum lycopersicum var. cerasiforme,path analysis,correlation.,análise de trilha,correlação.

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