class: center, middle, inverse, title-slide .title[ # All about cracks and shapes ] .subtitle[ ## in a nutshell ] .author[ ###
Erik Amézquita
, Michelle Quigley, Pat Brown
Liz Munch, Dan Chitwood
—
Plant Sciences & Mathematics
University of Missouri
— ] .date[ ### 2023-10-12
-
Preprint available:
10.1101/2023.09.26.559651
] --- background-image: url("../../img/endlessforms.png") background-size: 150px background-position: 89% 7% class: inverse # Plant morphology <div class="row"> <div class="column" style="max-width:50%"> <iframe width="375" height="210" src="https://www.youtube-nocookie.com/embed/Cr0B-yFcJZk?controls=0" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe> <iframe width="375" height="210" src="https://www.youtube-nocookie.com/embed/ikhuvGpJbeA?controls=0" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe> </div> <div class="column" style="max-width:50%"> <iframe width="375" height="210" src="https://www.youtube-nocookie.com/embed/lZXSpPzstF8?controls=0" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe> <iframe width="375" height="210" src="https://www.youtube-nocookie.com/embed/qkOjHHuoUhA?controls=0" frameborder="0" allow="accelerometer; autoplay; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe> </div> </div> <p style="font-size: 24px; text-align: right; font-family: 'Yanone Kaffeesatz'">Check out more 3D X-ray CT scans at <a href="https://www.youtube.com/@endlessforms6756">youtube.com/@endlessforms6756</a></p> --- # The wal(nu)tzing nutcracker! <div class="row" style="font-family: 'Yanone Kaffeesatz'; margin: 0 auto; font-size:22px"> <div class="column" style="max-width:25%;"> <img src="../figs/IMGA04011.jpg"> <p style="text-align: center;">149 accessions</p> </div> <div class="column" style="max-width:42%;"> <img src="../../barley/figs/x3000_setup.jpg"> <p style="text-align: center;">1301 (1264) walnuts scanned</p> </div> <div class="column" style="max-width:33%;"> <img src="../figs/pat_walnut_crack_detail4.jpg"> <p style="text-align: center;">Qualitative data for crackability</p> </div> </div> <div class="row" style="font-size: 22px; font-family: 'Yanone Kaffeesatz'; margin: 0 auto;"> <div class="column" style="max-width:20%;"> <img src="../figs/2014SBa_R5_T81_shell_1.gif"> <p style="text-align: center; margin: 0.5ex;">Shell</p> </div> <div class="column" style="max-width:20%;"> <img src="../figs/2014SBa_R1_T3_001_air.gif"> <p style="text-align: center;margin: 0.5ex; ">Air</p> </div> <div class="column" style="max-width:20%;"> <img src="../figs/2014SBa_R1_T3_001_vein.gif"> <p style="text-align: center;margin: 0.5ex; ">Packing tissue</p> </div> <div class="column" style="max-width:20%;"> <img src="../figs/2014SBa_R5_T81_meat_2.gif"> <p style="text-align: center;margin: 0.5ex;">Kernel</p> </div> <div class="column" style="max-width:20%; padding: 0 0 0 5px"> <p style="margin:5px 0 0 0; text-align:left"> ▸ Individuals separated manually<br> ▸ Tissues separated with watershed segmentation<br> ▸ 49 traditional shape and size descriptors </p> </div> </div> --- ## Watershed segmentation ![](../figs/2014SBa_R5_T20_001_w.gif) --- ## Shape and size phenotypes .pull-left[ ![](../figs/walnut_trad_measurements.png) ] .pull-right[ ![](../figs/kernel_trad_measurements.png) ] <img src="../figs/convexity_curves.jpg" width="600" style="display: block; margin: auto;" /> --- # 49 image-based phenotypes! .pull-left[ **Whole Walnut** - Length, width, height - Raw and *convex* Volume - Raw and *convex* surface Area - *Convexity ratios* - Sphericity indices **Kernel and its *main cavity*** - Length, width, height - Raw and *convex* total volume - Volume relative to total and *without air* - Raw and *convex* surface area - *Convexity ratios* - *Sphericity indices* ] .pull-right[ **Shell** - Absolute and relative total volume - Absolute and relative *protruding* volume - Average thickness - *Average density* relative to kernel - *Average density* relative to packing tissue **Air** - Total and relative volume ***Packing tissue*** - *Absolute and relative total Volume* - *Relative density to kernel* ] Italics for phenotypes that I haven't seen measured elsewhere --- ## Just to get out of the way - Two kinds of relative volume `$$\text{Kernel Volume Ratio}=\frac{V_{\text{kernel}}}{V_{\text{shell}} + V_{\text{kernel}} + V_{\text{packing}} + V_{\text{air}}}$$` `$$\text{Kernel Airless Volume Ratio}=\frac{V_{\text{kernel}}}{V_{\text{shell}} + V_{\text{kernel}} + V_{\text{packing}}}$$` - Per-individual vs per-accession - Morphological phenotypes were averaged based on accession to make them comparable to qualitative data. - Focus on volume and thickness-related phenotypes --- # The power of allometry: `\(\;y = e^bV_N^m\)` Different tissues grow at different rates with respect to each other. Growth does **not** scale linearly but it follows a power law. <div class="row" style="color: black; font-size: 20px; font-family: 'Yanone Kaffeesatz'; margin: 0 auto;"> <div class="column" style="max-width:33%;"> <img src="../../walnuts/figs/nut_convex_volume_vs_nut_volume.png"> <p style="padding: 0 2ex 0 0;">Walnut changes dramatically after its diameter is larger than 1.6cm (⅝")</p> </div> <div class="column" style="max-width:33%;"> <img src="../../walnuts/figs/air_volume_vs_nut_volume.png"> <p style="margin: 3px 0 0 0; padding: 0 2ex 0 0;">If nut volume increases by 2x, then air volume increases by 2.3x</p> <p style="padding: 0 2ex 0 0;">Walnut diameter cannot go beyond 15cm (6")</p> </div> <div class="column" style="max-width:33%;"> <img src="../../walnuts/figs/kernel_volume_vs_nut_volume.png"> <p style="margin: 1.1ex 0 0 0; padding: 0 2ex 0 0;">If nut volume increases by 2x, then kernel volume only increases by 1.8x</p> </div> </div> There are biophysical constraints at play in walnut development --- ## Individual-based correlation <img src="../figs/spearman_correlation.svg" width="525" style="display: block; margin: auto;" /> --- ## Accession-based correlation <img src="../figs/vol_absolute_relative_thick_correlation_accession.svg" width="580" style="display: block; margin: auto;" /> --- ## Accession-based correlation <img src="../figs/correlations_highlight_1.png" width="580" style="display: block; margin: auto;" /> --- ## Accession-based correlation <img src="../figs/correlations_highlight_2.png" width="580" style="display: block; margin: auto;" /> --- ## Accession-based correlation <img src="../figs/correlations_highlight_3.png" width="580" style="display: block; margin: auto;" /> --- ## Accession-based correlation <img src="../figs/correlations_highlight_4.png" width="580" style="display: block; margin: auto;" /> --- ## Accession-based correlation <img src="../figs/correlations_highlight_5.png" width="580" style="display: block; margin: auto;" /> --- ## Correlation to other breeding traits ![](../figs/highest_corrs_ease_of_removal_per_accession_1x5.jpg) ![](../figs/highest_corrs_shell_strength_per_accession_1x5.jpg) - Now the Earliest (Himalayan) accession is a single outlying point and not much can be said about it. --- background-image: url("../../demat/figs/supervised_regression.png") background-size: 750px background-position: 50% 60% ## Supervised linear regression: repeat 100 times --- background-image: url("../../demat/figs/supervised_regression_outlier.png") background-size: 750px background-position: 50% 60% ## Sensitivity to outliers --- ## Trying to figure out **independent** contributions <img src="../figs/ease_of_removal_OLS_optimal_features.svg" width="700" style="display: block; margin: auto;" /><img src="../figs/shell_strength_OLS_optimal_features.svg" width="700" style="display: block; margin: auto;" /> --- ## Trying to figure out **independent** contributions <img src="../figs/kernel_weight_ratio_OLS_optimal_features.svg" width="700" style="display: block; margin: auto;" /><img src="../figs/shell_strength_OLS_optimal_features.svg" width="700" style="display: block; margin: auto;" /> --- ## Future directions: domestication ![](../figs/pca_select_phenos_accession.svg) .pull-left[ ![](../figs/pat_walnut_crack_detail3.jpg) ] .pull-right[ - Only one accession scanned is wild: Earliest Himalayan - It is notoriously difficult to crack open and extract the kernel - However, it is **morphologically average** ] --- # Conclusion .pull-left[ **Biophysical constraints** <img src="../figs/air_volume_vs_nut_volume.png" width="200" style="display: block; margin: auto;" /> - Inner air may play a key role in walnut development. - As a walnut grows, packing tissue develops at the expense of shell tissue. - The shell undergoes a careful biochemical balance between insulation and permeability of air and water as the walnut develops ] .pull-right[ **Breed selection** <img src="../figs/2014SBa_R5_T49_008_240_watershed.jpg" width="200" style="display: block; margin: auto;" /> - The best linear models use only 2-3 thickness and volume-related morphological traits - It is easy and cheap to measure volumes. - More data to fine-tune the model and to understand domestication. ] --- background-image: url("https://upload.wikimedia.org/wikipedia/commons/4/4a/University_of_Missouri_logo.svg") background-size: 60px background-position: 99% 1% class: inverse # Thank you! <div class="row" style="margin-top: -25px;"> <div class="column" style="max-width:20%; font-size: 16px;"> <img style="padding: 0 0 0 0;" src="https://i1.rgstatic.net/ii/profile.image/607374528233472-1521820780707_Q128/Elizabeth-Munch.jpg"> <p style="text-align: center;">Liz Munch<br>(MSU)</p> <img style="padding: 0 0 0 0;" src="https://i1.rgstatic.net/ii/profile.image/926632407748609-1597937790454_Q128/Michelle-Quigley.jpg"> <p style="text-align: center;">Michelle Quigley<br>(PSU)</p> </div> <div class="column" style="max-width:18%; font-size: 16px;"> <img style="padding: 0 0 0 0;" src="https://www.canr.msu.edu/contentAsset/image/9ae9777d-157c-46e6-9f12-d062ad35671e/fileAsset/filter/Jpeg,Resize,Crop/jpeg_q/80/resize_w/400/crop_x/0/crop_y/45/crop_w/400/crop_h/400"> <p style="text-align: center;">Dan Chitwood<br>(MSU)</p> <img style="padding: 0 0 0 0;" src="https://caes.ucdavis.edu/sites/g/files/dgvnsk1721/files/styles/sf_profile/public/images/person/pjbrown_1.jpg?h=345be249&itok=77W2Yqpk"> <p style="text-align: center;">Pat Brown<br>(UC Davis)</p> </div> <div class="column" style="width:12%; font-size: 24px;"> </div> <div class="column" style="max-width:50%; font-size: 24px; line-height:1.25"> <p style="text-align: center;"><strong>Email</strong></p> <p style="text-align: center; color: Blue; font-family: monospace;">eah4d@missouri.edu</p> <p style="text-align: center;"><strong>Website and slides</strong></p> <p style="text-align: center; color: Blue; font-family: monospace;">ejamezquita.github.io</p> <p style="text-align: center;"><strong>Preprint DOI</strong></p> <p style="text-align: center; color: Blue; font-family: monospace;">10.1101/2023.09.26.559651</p> <img style="padding: 0 0 0 0;" src="../../img/phd_institutional_logos.jpg"> </div> </div>