2002
DOI: 10.21273/jashs.127.5.749
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Effect of Apple Rootstocks on Average `Gala' Fruit Weight at Four Locations after Adjusting for Crop Load

Abstract: The influence of rootstock on average fruit weight was evaluated for a subset of data from a multilocation NC-140 apple [Malus sylvestris (L.) Mill. var. domestica (Borkh.) Mansf.] rootstock trial. Data for eight dwarf rootstocks were collected at four locations for 2 years. Analysis of covariance was used to evaluate the effect of rootstock on average fruit weight when crop density or number of fruit per tree was included in the linear model as a c… Show more

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Cited by 30 publications
(18 citation statements)
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“…5A). Marini et al (2002) described good tree survival, high annual yields, and adequate fruit size as attributes of the ideal rootstock; all of these traits were exemplifi ed by 'CG.6210' in our study. Crop density on 'CG.6210' also exceeded that of other rootstocks, although this trait varied among PPSTs (Fig.…”
Section: Discussionsupporting
confidence: 56%
“…5A). Marini et al (2002) described good tree survival, high annual yields, and adequate fruit size as attributes of the ideal rootstock; all of these traits were exemplifi ed by 'CG.6210' in our study. Crop density on 'CG.6210' also exceeded that of other rootstocks, although this trait varied among PPSTs (Fig.…”
Section: Discussionsupporting
confidence: 56%
“…The effects of rootstock genotype on fruit yield and quality and tree vigor have been well documented in many tree species, especially apple (Malus ×domestica Borkh.) (Autio and Southwick, 1986;Fallahi et al, 2002;Marini et al, 2002;Schecter et al, 1991;), but also for peach (P. persica L.) (Kappel and Bouthillier, 1995;Layne, 1994) and citrus (Roose et al, 1989;Wheaton et al, 1991). New rootstocks for sweet cherry have recently been developed and adopted commercially (Lang, 2000;Perry et al, 1997), albeit on a limited basis in North America.…”
mentioning
confidence: 99%
“…This becomes important when analyzing experimental data using covariance analysis. Covariance analysis should only be used if the slopes of the regression lines of the response variable as function of the covariate are not statistically different among treatments (Marini et al, 2002). This is likely to be true only when the treatments have relatively similar crop load as was the case for the cling peach experiment in season 3.…”
Section: Discussionmentioning
confidence: 99%