2021
DOI: 10.3390/plants10020376
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No Effect of Selective Maturation on Fruit Traits for a Bird-Dispersed Species, Sambucus racemosa

Abstract: Selective abortion, also called selective maturation, is a phenomenon wherein maternal plants selectively mature ovules that have the potential to grow into higher-quality fruits, such as those that contain more seeds. We hypothesized that the effects of selective maturation on fruit traits could be influenced by the dispersal mechanism. However, to date, limited studies have been conducted on selective maturation in bird-dispersed fruits. Unlike self- or wind-dispersed species, bird-dispersed species would no… Show more

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Cited by 4 publications
(4 citation statements)
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“…To test the difference in the light-saturated gross photosynthetic rate (P g_max ) and stomatal conductance between early morning and during daytime hours on each day, a generalized linear model was constructed using the R function glm (family = Gamma (link = "log")); the values obtained in the earliest morning were compared with the lowest value observed during the midday hours (10:00-14:00) on each day. We used a Gamma error distribution because it is used to describe continuous and positive variables [125,126]. Diurnal changes in the curve parameters between two successive measurements within each day were estimated by interpolating these parameters every 10 min.…”
Section: Discussionmentioning
confidence: 99%
“…To test the difference in the light-saturated gross photosynthetic rate (P g_max ) and stomatal conductance between early morning and during daytime hours on each day, a generalized linear model was constructed using the R function glm (family = Gamma (link = "log")); the values obtained in the earliest morning were compared with the lowest value observed during the midday hours (10:00-14:00) on each day. We used a Gamma error distribution because it is used to describe continuous and positive variables [125,126]. Diurnal changes in the curve parameters between two successive measurements within each day were estimated by interpolating these parameters every 10 min.…”
Section: Discussionmentioning
confidence: 99%
“…To predict binomial outcomes (a ramet either with at least one or without any flower bud), we used a logistic regression analysis with binomial error distribution (family = binomial (link = "logit")) [91,92]. To predict positive and discrete dependent variables (number of ramets per unit land area and number of flower buds on each ramet), we used Poisson distribution (family = poisson (link = "log")) [93,94]. To predict positive and continuous variables (the rest of the dependent variables), we used Gamma distribution (family = Gamma (link = "log")) [95].…”
Section: Discussionmentioning
confidence: 99%
“…We calculated fruit set (i.e., fruit-to-flower ratio [51,52]) and the seed number per fruit for the 85 bagged fruits used for the pollinator exclusion experiment and, additionally, for different 84 uncovered flowers (i.e., open pollination treatment [15,18,29]) from 15 individuals in the same population. The bags were removed when the flowering period was complete.…”
Section: Estimating Fruit Set and Seed Number Per Fruitmentioning
confidence: 99%