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

dc.creatorSalvo, Sonia
dc.creatorMunoz, Carlos
dc.creatorAvila, Julio
dc.creatorBustos, Jaime
dc.creatorRamirez-Valdivia, Martha
dc.creatorSilva, Carolina
dc.creatorVivallo, Gabriel
dc.date2012
dc.date2021-04-30T16:34:22Z
dc.date2021-04-30T16:34:22Z
dc.date.accessioned2021-06-14T22:03:31Z
dc.date.available2021-06-14T22:03:31Z
dc.identifierSCIENTIA HORTICULTURAE,Vol.133,56-63,2012
dc.identifierhttp://repositoriodigital.uct.cl/handle/10925/3093
dc.identifier10.1016/j.scienta.2011.10.020
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3299557
dc.descriptionThe 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. (C) 2011 Elsevier B.V. All rights reserved.
dc.languageen
dc.publisherELSEVIER SCIENCE BV
dc.sourceSCIENTIA HORTICULTURAE
dc.subjectBlueberry
dc.subjectYield
dc.subjectFlower bud
dc.subjectFruit set
dc.subjectMultiple linear regression model
dc.titleAn estimate of potential blueberry yield using regression models that relate the number of fruits to the number of flower buds and to climatic variables
dc.typeArticle


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