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人工和生物支撑物对豌豆植物是不同的。

Artificial and biological supports are different for pea plants.

机构信息

Department of General Psychology, University of Padova, Padova, Italy.

出版信息

Plant Signal Behav. 2024 Dec 31;19(1):2355739. doi: 10.1080/15592324.2024.2355739. Epub 2024 Jun 5.

DOI:10.1080/15592324.2024.2355739
PMID:38837041
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7616103/
Abstract

Previous studies on the kinematics of pea plants' ascent and attach behavior have demonstrated that the signature of their movement varies depending on the kind of support. So far, these studies have been confined to artificial supports (e.g. wooden sticks). Little is known regarding the conditions under which pea plants could rely on biological supports (e.g. neighboring plants) for climbing toward the light. In this study, we capitalize on the 3D kinematic analysis of movement to ascertain whether pea plants scale their kinematics differently depending on whether they aim for artificial or biological support. Results suggest that biological support determines a smoother and more accurate behavior than that elicited by the artificial one. These results shed light on pea plants' ability to detect and classify the properties of objects and implement a movement plan attuned to the very nature of the support. We contend that such differences depend on the augmented multisensory experience elicited by the biological support.

摘要

先前关于豌豆植物上升和附着行为的运动学研究表明,它们的运动特征取决于支撑物的类型。到目前为止,这些研究仅限于人工支撑物(例如木枝)。对于豌豆植物在何种条件下可以依靠生物支撑物(例如邻近的植物)来向光攀爬,人们知之甚少。在这项研究中,我们利用运动的 3D 运动学分析来确定豌豆植物是否根据其目标是人工支撑物还是生物支撑物而以不同的方式调整其运动学。结果表明,生物支撑物决定了更平滑和更准确的行为,而不是由人工支撑物引起的行为。这些结果揭示了豌豆植物检测和分类物体属性以及实施与支撑物性质相适应的运动计划的能力。我们认为,这种差异取决于生物支撑物引起的增强的多感觉体验。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa01/11651281/b94c7fc53eb5/KPSB_A_2355739_F0003_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa01/11651281/39681128cf19/KPSB_A_2355739_F0001_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa01/11651281/d78c7a2306e8/KPSB_A_2355739_F0002_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa01/11651281/b94c7fc53eb5/KPSB_A_2355739_F0003_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa01/11651281/39681128cf19/KPSB_A_2355739_F0001_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa01/11651281/d78c7a2306e8/KPSB_A_2355739_F0002_OC.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa01/11651281/b94c7fc53eb5/KPSB_A_2355739_F0003_OC.jpg

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本文引用的文献

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Multisensory integration in the mammalian brain: diversity and flexibility in health and disease.哺乳动物大脑中的多感觉整合:健康和疾病中的多样性和灵活性。
Philos Trans R Soc Lond B Biol Sci. 2023 Sep 25;378(1886):20220338. doi: 10.1098/rstb.2022.0338. Epub 2023 Aug 7.
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Plant Intelligence from a Comparative Psychology Perspective.从比较心理学视角看植物智能
Biology (Basel). 2023 Jun 5;12(6):819. doi: 10.3390/biology12060819.
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Evidence of motor intentions in plants: A kinematical study.植物运动意图的证据:一项运动学研究。
J Comp Psychol. 2023 Nov;137(4):228-237. doi: 10.1037/com0000351. Epub 2023 May 11.
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Classifying Circumnutation in Pea Plants via Supervised Machine Learning.通过监督式机器学习对豌豆植株的回旋转头运动进行分类
Plants (Basel). 2023 Feb 20;12(4):965. doi: 10.3390/plants12040965.
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