Salvo, Sonia; Muñoz, Carlos; Ávila, Julio; Bustos, Jaime; Ramirez-Valdivia, Martha; Silva, Carolina; Vivallo Pinare, Gabriel

An estimate of potential blueberry yield using regression models that relate the number of fruits to the number of flower buds and to climatic variables

datacite.alternateIdentifier.citation	Scientia Horticulturae, Vol. 133, N° 1, 56-63, 2012	es
datacite.alternateIdentifier.doi	10.1016/j.scienta.2011.10.020	es
datacite.creator	Salvo, Sonia
datacite.creator	Muñoz, Carlos
datacite.creator	Ávila, Julio
datacite.creator	Bustos, Jaime
datacite.creator	Ramirez-Valdivia, Martha
datacite.creator	Silva, Carolina
datacite.creator	Vivallo Pinare, Gabriel
datacite.date	2012
datacite.date.issued	2012-02-04
datacite.subject	Arándanos	es
datacite.subject	Modelo de regresión lineal múltiple	es
datacite.subject	Producción	es
datacite.title	An estimate of potential blueberry yield using regression models that relate the number of fruits to the number of flower buds and to climatic variables	es
dc.date.accessioned	2012-02-04T23:13:50Z
dc.date.available	2012-02-04T23:13:50Z
dc.description.abstract	The export of fresh blueberries is an important productive activity in Chile, in terms of the labour employed, the number of hectares cultivated and the resulting trade flow with the northern hemisphere. The export of fresh blueberries requires planning based on early estimates of the yield of the orchard. The growers keep plots with plants of more or less the same age and variety; thus, it is possible to estimate the yield of the whole orchard, based on the yield per plant. Two factors must be considered in estimating the yield per plant: the number of fruits and their fresh weight. An early estimate of the number of fruits can be based on the number of flower buds and their viability during flowering and fruit development. The aim of the research was to find a way of estimating plant yields in commercial orchards by proposing models which relate the number of fruits available for harvest to the number of flower buds and to climatic variables. The estimated value incorporates the fruit weight appropriate to the variety cultivated. When the potential yield estimated is compared to the yield reported by the growers, the estimated errors are less than 12% (overestimation) and the performance achieved by yield models is as high as 0.57 and 0.96 for the correlation coefficients. The obtained models can be used by producers to plan their harvests several months in advance, and can be adjusted to the current season. © 2011 Elsevier B.V.	es
dc.format	PDF	es
dc.identifier.uri	https://repositoriodigital.uct.cl/handle/10925/539
dc.language.iso	en	es
dc.source	Scientia Horticulturae	es
oaire.resourceType	Artículo de Revista	es
uct.carrera	Agronomía	es
uct.catalogador	aga	es
uct.comunidad	Recursos Naturales	es
uct.facultad	Facultad de Recursos Naturales	es
uct.indizacion	ISI	es