Evaluations of pre- and postemergence herbicides for dodder management in cranberry

Ghantous, Katherine; Sandler, Hilary A.

doi:10.17660/actahortic.2017.1180.52

Cited by 1 publication

(1 citation statement)

References 12 publications

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“…It can infect and considerably reduce the yield of more than 25 different crop species and has been found in at least 55 countries across all continents (2). Cuscuta infestations are difficult to control, and they can reduce the yield of tomato fields (3), cranberry vines (4), carrots (5), and alfalfa (6) by more than 75%. Cuscuta is resistant to most of the commercially available herbicides (7), and a single plant can produce up to 15,000 seeds that can remain viable for at least 10 years (8).…”

Section: Introductionmentioning

confidence: 99%

The Early Dodder Gets the Host: Decoding the Coiling Patterns ofCuscuta campestriswith Automated Image Processing

Bentelspacher,

Amézquita,

Adhikari

et al. 2024

Preprint

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Cuscuta spp., (dodder) is a rootless and leafless parasitic plant posing significant agricultural challenges. In this study, we aimed to elucidate the dynamics of the coiling patterns in Cuscuta campestris and examine the role of circadian rhythms in its host-seeking ability. Using time-lapse photography, we recorded the circumnutation and coiling movements of C. campestris at different inoculation times on non-living hosts. Subsequent image analyses were facilitated through an in-house Python-based image analysis pipeline. We observed that the coiling efficacy of C. campestris varied with the inoculation time of day, showing higher success and faster initiation in morning than in evening. These observations suggest that Cuscuta, despite lacking leaves and a developed chloroplast, can discern photoperiod changes, which significantly determine its parasitic efficiency. The automated image analysis confirmed the reliability of our Python pipeline, aligning closely with manual annotations. This study provides significant insights into the parasitic strategies of C. campestris and demonstrates the potential of integrating computational image analysis in plant biology for exploring complex plant behaviors. Furthermore, this method provides an efficient tool for investigating plant movement dynamics, laying the foundation for future studies on mitigating the economic impacts of parasitic plants.

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