2020
DOI: 10.3390/agronomy10081153
|View full text |Cite
|
Sign up to set email alerts
|

The Ecology of Autogamy in Wild Blueberry (Vaccinium angustifolium Aiton): Does the Early Clone Get the Bee?

Abstract: Wild blueberry, Vaccinium angustifolium Aiton, for the most part requires cross-pollination. However, there is a continuum across a gradient from zero to 100% in self-compatibility. We previously found by sampling many fields that 20–25% of clones during bloom have high levels of self-compatibility (≥50%). In 2009–2011, and 2015 we studied the ecology of self-pollination in wild blueberry, specifically its phenology and bee recruitment and subsequent bee density on bloom. We found that highly self-compatible c… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
4
1
1

Relationship

0
6

Authors

Journals

citations
Cited by 7 publications
(2 citation statements)
references
References 54 publications
0
2
0
Order By: Relevance
“…In our research, the best machine learning model trained on the wild blueberry simulation dataset was regarded as the best representation of the relationships between fruit-set and the eight predictor variables by learning the basic pattern of pollination dynamics of multiple blueberry species. Although bog blueberry may have diverse genotypes (e.g., the proportion of self-compatible genotypes, [64]) that could cause different pollination dynamics, these differences can still be explained by a metamodel with re-parameterization on a small amount of bog blueberry data. The difference of decomposed feature-level variance before and after metamodel calibration (the visualizations in Figure 7) might shed light on this point.…”
Section: Modelling Approach and Interpretationmentioning
confidence: 99%
“…In our research, the best machine learning model trained on the wild blueberry simulation dataset was regarded as the best representation of the relationships between fruit-set and the eight predictor variables by learning the basic pattern of pollination dynamics of multiple blueberry species. Although bog blueberry may have diverse genotypes (e.g., the proportion of self-compatible genotypes, [64]) that could cause different pollination dynamics, these differences can still be explained by a metamodel with re-parameterization on a small amount of bog blueberry data. The difference of decomposed feature-level variance before and after metamodel calibration (the visualizations in Figure 7) might shed light on this point.…”
Section: Modelling Approach and Interpretationmentioning
confidence: 99%
“…Morphological traits can also influence fruit set through the promotion of outcrossing, which is crucial for circumventing fruit abortion due to self-incompatibility or early-acting inbreeding depression (Rick and Dempsey, 1969; Levy et al, 1978; Krebs and Hancock, 1990). Blueberry flowers exhibit herkogamy, wherein the stigma’s location within the corolla and the distance between the stigma and anthers reduce the incidence of self-pollination (Drummond and Rowland, 2020; Bieniasz and Konieczny, 2022). In wild lowbush blueberry (V. angustifolium), style length and the exertion of the stigma beyond the corolla were positively correlated with berry weight and the number of seeds per berry (Sampson et al, 2013), suggesting these traits may be beneficial for pollinator attraction or pollination success.…”
Section: Introductionmentioning
confidence: 99%