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Leaf Morphology - IC Herbarium

acespicoli

Well-known member

Leaf Morphology​

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To catalog is it necessary to use same light sources and are there other environmental plasticity factors to leaf morphology? Regardless we could start to collect some examples with graph paper or measurements?
Plants 2023, 12(20), 3646; https://doi.org/10.3390/plants12203646
Hope to see BLD NLD and all between just for sake of enjoying diversity, or however you class it
 

acespicoli

Well-known member
Hola acespicoli
Great idea! I remember that 20 years ago I started a thread called "Leaf shape map?" at Overgrow.No success...
thx for starting this one :tiphat:
Brother @Raco welcome, you have some great content for this :huggg:if you would co author id be honored
Hopefully here with the ICfamily the dream is fully realized :love:
The tease of what we may accomplish is the IC Herbarium ? :plant grow:
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Leaf Morphology to:​

Leaf Morphology - IC Herbarium​

 

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acespicoli

Well-known member

Intra-leaf modeling of Cannabis leaflet shape produces leaf models that predict genetic and developmental identities​

Manica Balant, Teresa Garnatje, Daniel Vitales, Oriane Hidalgo, Daniel H. Chitwood
First published: 17 May 2024
https://doi.org/10.1111/nph.19817
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Its time to take this work a little more seriously ?
Best>>> :huggg:



Conclusions​

In grapevine, leaf shape has long been utilized for variety identification. However, in the case of Cannabis, previous attempts were hindered by the variability in leaflet numbers. In this study, we present a pioneering method that successfully addresses this issue. By generating theoretical leaves with customizable leaflet counts, we can now employ high-resolution morphometric techniques to accurately classify different wild/feral and cultivated Cannabis accessions. Through the use of 3591 densely placed pseudo-landmarks, we were able to predict the accession identity with almost 74% accuracy. The method works well not only on stabilized cultivars but also on phenotypically more variable wild/feral accessions grown from seed. Unifying the number of leaflets allowed us, for the first time, to make comparisons among several leaves along the main axis, enabling us to investigate developmental changes in leaf shape and detect heterochronic mechanisms influencing the leaf shape in Cannabis. The implications of this new high-resolution method in both the cannabis industry and research extend beyond its role in determining Cannabis accessions. It also offers a promising tool for developmental studies, and for studying the correlation between leaf shape and phytochemical profiles and the sex of the plants, where lower resolution methods provided inconclusive results so far. The method presented here offers a fast, effective, robust, and low-cost tool that can aid the future classification of Cannabis germplasm. Furthermore, the use of this methodology extends beyond Cannabis and can be applied to numerous other plant species with palmate, pinnate, and lobate leaves with varying numbers of lobes and leaflets where the use of geometric morphometrics methods was not previously possible to this extent.
 
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