Pepino (Cucumis sativus L.) cultivado en ambiente protegido: correlaciones entre variables
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Cruz Coronado, José Aníbal
Monge Pérez, José Eladio
Loría Coto, Michelle
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Abstract
Se calcularon las correlaciones de Pearson para 13 híbridos de pepino cultivados bajo
ambiente protegido en temporada lluviosa, usando siete características: longitud, diámetro
y peso del fruto, número de frutos por planta, rendimiento total y comercial, y porcentaje de
sólidos solubles totales. Se obtuvieron ocho correlaciones (evaluadas en los 13 híbridos)
que fueron altas (r≥0,66) y con significancia estadística (p≤0,05), en cuyo caso se obtuvo la
regresión lineal: longitud y peso del fruto (r=0,99); longitud del fruto y número de frutos por
planta (r=–0,79); peso del fruto y número de frutos por planta (r=–0,72); diámetro del fruto y
número de frutos por planta (r=–0,79); diámetro del fruto y rendimiento total (r=–0,75); diámetro
del fruto y rendimiento comercial (r=–0,84); número de frutos por planta y rendimiento comercial
(r=0,76); y rendimiento total y comercial (r=0,95). También se hallaron otras once correlaciones
altas y con significancia estadística, de acuerdo al tipo de pepino (largo, mediano o pequeño).
Se concluye que el tipo de pepino ejerce un efecto importante sobre el resultado de las
correlaciones.
For 13 cucumber hybrids grown under greenhouse conditions during rainy season the researchers estimated Pearson correlations among seven characteristics: fruit length, fruit width, fruit weight, number of fruits per plant, total and commercial yield, and percentage of total soluble solids. Among the 13 evaluated hybrids there were eight correlations that were high (r≥0,66) and statistically significant (p≤0,05). In those cases the linear regression statistics were calculated: fruit length and weight (r=0,99); fruit length and number of fruits per plant (r=–0,79); fruit weight and number of fruits per plant (r=–0,72); fruit width and number of fruits per plant (r=–0,79); fruit width and total yield (r=–0,75); fruit width and commercial yield (r=–0,84); number of fruits per plant and commercial yield (r=0,76); and total and commercial yield (r=0,95). Statistically significant correlations were also obtained in eleven additional cases, not across all hybrids but estimated according to the cucumber type (long, medium or small). It is concluded that the type of cucumber has an important effect in the correlation results.
For 13 cucumber hybrids grown under greenhouse conditions during rainy season the researchers estimated Pearson correlations among seven characteristics: fruit length, fruit width, fruit weight, number of fruits per plant, total and commercial yield, and percentage of total soluble solids. Among the 13 evaluated hybrids there were eight correlations that were high (r≥0,66) and statistically significant (p≤0,05). In those cases the linear regression statistics were calculated: fruit length and weight (r=0,99); fruit length and number of fruits per plant (r=–0,79); fruit weight and number of fruits per plant (r=–0,72); fruit width and number of fruits per plant (r=–0,79); fruit width and total yield (r=–0,75); fruit width and commercial yield (r=–0,84); number of fruits per plant and commercial yield (r=0,76); and total and commercial yield (r=0,95). Statistically significant correlations were also obtained in eleven additional cases, not across all hybrids but estimated according to the cucumber type (long, medium or small). It is concluded that the type of cucumber has an important effect in the correlation results.
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Keywords
Correlación de Pearson, Regresión lineal, Producción, Agricultura protegida, Pearson correlations, Linear regression, Production, Protected agriculture
Citation
https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/5334/5606