Comparing different propagation methods for giant reed (Arundo donax L.) across three years from planting

Dragoni, Federico; Volpi, Iride; Lwin, Aung Kyaw; Triana, Federico; Tozzini, Cristiano; Ragaglini, Giorgio

doi:10.1016/j.biombioe.2021.106258

Cited by 1 publication

(1 citation statement)

References 35 publications

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“…This result agrees with those of previous studies on peach [ 7 ], apple [ 8 , 9 ], and Chrysanthemum [ 24 ], but with a more limited scope. However, micropropagated giant reed plants produced less biomass than rhizome-propagated plants [ 25 ]. Three out of four micropropagated gooseberry varieties showed higher vigor and produced a higher yield than conventionally propagated plants, whereas only one (Resika) showed an opposite effect [ 26 ].…”

Section: Discussionmentioning

confidence: 99%

Assessing Effect of Rootstock Micropropagation on Field Performance of Grafted Peach Varieties by Fitting Mixed-Effects Models: A Longitudinal Study

Marín

Garcia

Lorente

et al. 2023

Plants

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Rootstock micropropagation has been extensively used as an alternative to propagation by cuttings. Although studies have recently been conducted on other species, no conclusive reports have been published on the effect of rootstock micropropagation on the field performance of fruit trees. Here, we present the results of a five-year study of peach varieties grafted on two rootstocks (Adesoto 101 and Adafuel), either micropropagated or propagated by cuttings, to ascertain the effect of the rootstock propagation method on field performance. Fruit trees are woody plants with a long life cycle; so, to reduce the influence of environmental or cultural factors on the agronomical results, studies need to last for several years, in which data are obtained from the same individuals over time (longitudinal data). This hinders the analysis because these data lack independence. In contrast with a more traditional approach with data aggregation and repeated-measures ANOVA analysis, in this study, we used linear mixed-effects models to control the variance associated with random factors without data aggregation. The growth of the fruit trees did not appreciably differ between the rootstock propagation methods, neither in the flowering period nor in the yield. The models constructed for different parameters of the field performance (trunk cross-sectional area (TCSA), cumulative yield, cumulative yield efficiency, and cumulative crop load) showed a very good fit (R2 > 0.97), allowing the conclusion that the rootstock propagation method did not affect the field performance of fruit trees in this study.

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