Botany One

May 21 2024 270 ep. 5 mins
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These are computer-generated readings of posts on Botany One. The aim is to help improve accessibility by being able to embed audio versions of a report into a blog post. But you can subscribe to this as a podcast too. The audio versions may be slightly altered as some things in print don't make sense in audio, like references to figures.

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Researchers adopt approach for more ethical plant research

May 21 2024 3 mins  
Advances in recombinant antibody production You can read this post online at https://botany.one/2024/05/researchers-adopt-approach-for-more-ethical-plant-research/ You can read the original research at https://doi.org/10.1007/978-1-0716-3790-6_21

Engineered increase in mesophyll conductance improves photosynthetic efficiency in field trial

May 07 2024 3 mins  
You can read this post online at https://botany.one/2024/05/engineered-increase-in-mesophyll-conductance-improves-photosynthetic-efficiency-in-field-trial You can read the original research at https://doi.org/10.1111/pbi.14364

Symphony of Insights: Transforming Crop Simulation with Sound and Music

Apr 23 2024 6 mins  
Revolutionizing scientific communication and insight through auditory and visual representations You can read this post online at https://botany.one/2024/04/symphony-of-insights-transforming-crop-simulation-with-sound-and-music You can read the original research at https://doi.org/10.1093/insilicoplants/diad023

Harnessing the Power of Synthetic Data for Deep Learning Image Analysis

Apr 12 2024 5 mins  
The Synavis framework provides a solution to overcome data scarcity for training deep learning biological image analysis models. You can read this post online at https://botany.one/2024/04/harnessing-the-power-of-synthetic-data-for-deep-learning-image-analysis You can read the original research at https://doi.org/10.1093/insilicoplants/diad022

A Comparative Analysis for Predicting Wheat Yield in Rainfed Areas of Morocco

Apr 08 2024 6 mins  
A new study comparing crop yield prediction models reveals insights into the effectiveness of different modeling in the face of climate change. You can read this post online at https://botany.one/2024/04/a-comparative-analysis-for-predicting-wheat-yield-in-rainfed-areas-of-morocco You can read the original research at https://doi.org/10.1093/insilicoplants/diad020

Exploring the synergy of canopy architecture and nitrogen partitioning

Jan 20 2024 7 mins  
Models uncover how plants coordinate architectural characteristics and photosynthetic nitrogen allocation to optimize photosynthesis. You can read this post online at https://botany.one/2024/01/exploring-the-synergy-of-canopy-architecture-and-nitrogen-partitioning You can read the original research at https://doi.org/10.1093/insilicoplants/diad014

Towards Super-High Yielding Rice: A Novel Approach to Optimize Grain Filling

Dec 11 2023 7 mins  
A novel systems model, in conjunction with genetic algorithms, identify ideotypes with high yield potential. You can read this post online at https://botany.one/2023/12/towards-super-high-yielding-rice-a-novel-approach-to-optimize-grain-filling You can read the original research at https://doi.org/10.1093/insilicoplants/diad011

Climate-Proof Wheat: Insights on Key Traits for Yield Stability in a Dynamic Environment

Dec 07 2023 5 mins  
Assessing the impact of traits on wheat yield and stability under climate change. You can read this post online at https://botany.one/2023/12/climate-proof-wheat-insights-on-key-traits-for-yield-stability-in-a-dynamic-environment You can read the original research at https://doi.org/10.1093/insilicoplants/diad013

Exploring the Influence of Phloem Resistance on Root System Architecture

Nov 27 2023 4 mins  
Studies model the local influence of phloem resistance on taproot and lateral root growth. Read the post: https://botany.one/2023/11/exploring-the-influence-of-phloem-resistance-on-root-system-architecture Read the article: https://doi.org/10.1093/insilicoplants/diad012

Increasing yield prediction accuracy

Nov 08 2023 5 mins  
Researchers find combining multiple types of models improves crop yield predictions, outperforming single models. You can read this post online at https://botany.one/2023/11/increasing-yield-prediction-accuracy You can read the original research at https://doi.org/10.1093/insilicoplants/diad015