SciELO - Scientific Electronic Library Online

 
vol.32 número1Cálculo de la línea base de las emisiones de gases de efecto invernadero y proyecciones a futuro para el sector transporte en el estado de Veracruz, MéxicoPredicción de la vida útil en reparaciones de automóviles índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Revista

Articulo

Indicadores

Links relacionados

  • No hay articulos similaresSimilares en SciELO

Compartir


Revista Tecnología en Marcha

versión On-line ISSN 0379-3982versión impresa ISSN 0379-3982

Resumen

MONGE-PEREZ, Jose Eladio  y  LORIA-COTO, Michelle. Melon (Cucumis melo L.) grown under greenhouse conditions: correlations between variables. Tecnología en Marcha [online]. 2019, vol.32, n.1, pp.134-150. ISSN 0379-3982.  http://dx.doi.org/10.8845/tm.v32.i1.4124.

For 63 melon genotypes grown under greenhouse conditions the researchers estimated Pearson correlations between five quantitative variables: fruit weight (g), number of fruits per square meter, yield per area (ton/ha), fruit flesh firmness (N) and percentage of total soluble solids (°Brix). Andromonoecious melons showed a higher number of fruits per square meter and a higher yield than monoecious melons, and there were no significant differences between them for fruit weight, percentage of total soluble solids, and fruit flesh firmness. The only Pearson correlation evaluated in the 63 genotypes that was high (r ≥ 0,69) and statistically significant (p ≤ 0,05), was obtained between yield and the number of fruits per square meter (r = 0,79); in this case the linear regression was calculated (R2 = 0,63). It is concluded that the number of fruits per square meter is the most important variable to predict yield in greenhouse grown melon. Statistically significant correlations were observed in eleven more cases, not across all genotypes but estimated according the kind of sexual expression or the type of melon.

Palabras clave : Cucumis melo; number of fruits per square meter; yield; Pearson correlation; linear regression.

        · resumen en Español     · texto en Español     · Español ( pdf )