Sweet pepper production under greenhouse conditions: correlation among plant density and yield variables
For sweet pepper (Capsicum annuum) cv. FBM-9 grown under greenhouse conditions and using two pruning systems (Spanish and Dutch), the researchers estimated Pearson correlations among plant density and the following variables: number of fruits per plant and per square meter, fruit weight (g), and to...
Autores Principales: | Monge Pérez, José Eladio, Loría-Coto, Michelle |
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Formato: | Artículo |
Idioma: | Español |
Publicado: |
Editorial Tecnológica de Costa Rica (entidad editora)
2021
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Materias: | |
Acceso en línea: |
https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/4983 http://hdl.handle.net/2238/13059 |
Sumario: |
For sweet pepper (Capsicum annuum) cv. FBM-9 grown under greenhouse conditions and using two pruning systems (Spanish and Dutch), the researchers estimated Pearson correlations among plant density and the following variables: number of fruits per plant and per square meter, fruit weight (g), and total and commercial yield (ton/ha). The crop was planted on coconut fiber as substrate, and managed with fertigation. There were 10 statistically significant Pearson correlations (p≤0,05). In those cases the linear regression statistics were calculated. Independently of pruning system, there was significant correlation between plant density and: number of noncommercial fruits per plant (r = -0,55**); number of first quality fruits per square meter (r = 0,58**); total yield (r = 0,42*); first quality yield (r = 0,65**); and commercial yield (r = 0,43*). Furthermore, only for Spanish pruning treatments there was significant correlation between plant density and: number of second quality fruits per plant (r = -0,59*); fruit weight (r = 0,76**); and first quality fruit weight (r = 0,62*). It is concluded that the use of a higher plant density is the best option for growers, from an economical point of view. It is recommended to evaluate higher plant densities than those used in this trial (2,60-3,90 plants/m2), to determine the optimum plant density. |
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