SciELO - Scientific Electronic Library Online

 
vol.35 número4Evaluación del tratamiento térmico en rolas de madera de Stryphnodendron polystachyum (Yigüire), sobre las propiedades físico-mecánicas de tableros contrachapados de tres chapasAnálisis del proceso de empaque de banano para el aprovechamiento del recurso hídrico mediante la simulación de eventos discretos 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, José Eladio  y  LORIA-COTO, Michelle. Relations among plant density and yield variables in bell pepper (Capsicum annuum). Tecnología en Marcha [online]. 2022, vol.35, n.4, pp.162-174. ISSN 0379-3982.  http://dx.doi.org/10.18845/tm.v35i4.5853.

For bell pepper grown under greenhouse conditions and using two pruning systems (Spanish and Dutch), the objective of the research was to estimate Pearson correlations among plant density and the following variables: number of fruits (per plant and per m2 ), fruit weight, and total and commercial yield. For Dutch pruning system, the correlations between plant density and other tested variables were not significant. For Spanish pruning system, there were five statistically significant Pearson correlations (p≤0,05). In those cases the linear regression statistic was calculated; these significant correlations were between plant density and: number of total fruits per plant (r=-0,63*); number of first quality fruits per plant (r=-0,87**); number of second quality fruits per m2 (r=0,61*); second quality yield (r=0,76**); and commercial yield (r=0,64*). It is concluded that, for Spanish pruning system, the best option is the use of the highest plant density, from an economical point of view.

Palabras clave : Pruning; greenhouse; production; plant density; Pearson correlation; linear regression.

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