New high-throughput root phenotyping platform cleans background noise, accurately quantifies soybean root traits, aiding in breeding for nutrient-efficient crop varieties. #agriculture #plantbreeding #genetics
Details: spj.science.org/doi/10.34133/p…

New Phytologist is seeking a new Editor-in-Chief to succeed Professor Alistair Hetherington, who will step down from the role at the end of December 2024.

Deadline for applications: 1 June 2024

Full details 👉 ow.ly/f6sS50RVEB9

New shading capacity model quantifies CSC in intercrops, affecting light interception. Insights from UAV canopy height data can optimize planting patterns. #AgricultureTech #IntercroppingSystems
Details: spj.science.org/doi/10.34133/p…

Photosynthate transfer from an autotrophic orchid to conspecific heterotrophic protocorms through a common mycorrhizal network

📖 ow.ly/tfLE50RNgAh
by Read et al.

@katiefield4 Emily Magkourilou Prof David Johnson Plants, Photosynthesis and Soil Soil Ecology Lab UoM

Sustainable plantation management focuses on phenotypic traits & genetic diversity. Our study in a ginkgo plantation used SSR markers and TLS for genetic analysis and structural growth extraction. #SustainableForestry #Genetics #RemoteSensing
Details: spj.science.org/doi/10.34133/p…

FSPMs: Revolutionizing plant phenotyping for crop improvement. From genome to field, predicting performance & optimizing breeding for yield & resilience. #PlantScience #BreedingEfficiency
Details: spj.science.org/doi/10.34133/p…

Accurate branch detection aids harvesting robots and phenotypic extraction. We used Mask R-CNN with deformable convolution for better segmentation and adaptive reconstruction in complex orchard backgrounds. #AgTech #aizene
Details: spj.science.org/doi/10.34133/p…

Accurate PNPA estimation in winter wheat before heading is crucial. We proposed SPSI from UAV multispectral imagery, reducing spectral saturation and improving PNPA estimation, outperforming other indices. #AgTech #CropScience
Details: spj.science.org/doi/10.34133/p…

I’m looking forward to reviewing submitted abstracts for the upcoming #46NPS : Stomata. Join me and over 25 of the world's top #stomata researchers in Kaifeng, China this October. Travel grant applications and oral abstract submissions close on 14 June.

npf-events.evessiocloud.com/46NPS/en/page/…

Developed a drone-based system to predict broccoli head sizes and optimal harvest dates, reducing on-farm food loss and increasing profits by minimizing grade-out vegetables.
Details: spj.science.org/doi/10.34133/p…

Developed an intelligent berry-thinning machine using AS-SwinT for instance segmentation and counting, achieving superior accuracy and efficiency in table grape management.
Details: spj.science.org/doi/10.34133/p…

Improving agricultural computer vision with tailored deep learning. Our study reveals tweaks boosting model performance & training efficiency, aiding resource conservation. #DeepLearning #Agriculture
Details: spj.science.org/doi/10.34133/p…

Examining wheat yellow rust's impact on reflectance and nitrogen status in crop stress assessment. Integrating disease effects crucial for accurate spectral data interpretation. #CropScience #Phenotyping
Details: spj.science.org/doi/10.34133/p…

Discovery of a new family of conserved fungal proteins involved in plant infection

📖 ow.ly/3bQL50RGJOh
by Pejenaute-Ochoa et al.

Ibeas & Barrales Lab

Nodulating another way: what can we learn from lateral root base (LRB) nodulation in legumes? bit.ly/3TwzpN6

Quantifying canopy light interception guides crop yield optimization. Comparing virtual and realistic 3D models reveals discrepancies, emphasizing the need for accurate field representations for precise analyses.
Details: spj.science.org/doi/10.34133/p…

Automated analysis of awn properties is crucial for understanding grain crops. Our deep learning model, BarbNet, accurately detects and categorizes awn phenotypes, advancing plant developmental research.
Details: spj.science.org/doi/10.34133/p…

New model unveils circadian clock's impact on photosynthesis in tomatoes under varying light intensities. Dynamic simulations shed light on gene expression shifts. 🍅🌞 #Photosynthesis #CircadianClock #TomatoResearch Oxford Journals
Details:doi.org/10.1093/hr/uha…

Eff-3DPSeg: a novel weakly supervised framework for 3D plant shoot segmentation, combining deep learning and point clouds. Enhances phenotypic trait extraction, benefiting plant breeding. #PlantScience
Details: spj.science.org/doi/10.34133/p…

New study explores organ-specific nitrogen dilution curves in wheat, crucial for precise nitrogen management. Hierarchical Bayesian analysis reveals correlations and variations, enhancing crop modeling accuracy. #CropScience
Details: spj.science.org/doi/10.34133/p…