Enhancing plant morphological trait identification in herbarium collections through deep learning-based segmentation [0.03%]
基于深度学习的分割在标本馆收藏中增强植物形态特征识别
Hanane Ariouat,Youcef Sklab,Edi Prifti et al.
Hanane Ariouat et al.
Premise: Deep learning has become increasingly important in the analysis of digitized herbarium collections, which comprise millions of scans that provide valuable resources for studying plant evolution and biodiversity. ...
Microbial methods matter: Identifying discrepancies between microbiome denoising pipelines using a leaf biofilm taphonomic dataset [0.03%]
微生物方法很重要：使用叶片生物膜埋藏学数据集识别微生物组去噪流程中的差异
Brianne Palmer,Sabina Karačić,Gabriele Bierbaum et al.
Brianne Palmer et al.
Premise: The occurrence of different microorganisms on aquatic macrophyte fossils suggests that biofilm microbes may facilitate leaf preservation. Understanding the impact of microorganisms on leaf preservation requires s...
mvh: An R tool to assemble and organize virtual herbaria from openly available specimen images [0.03%]
MVH：一个R工具，用于从公开可用的标本图像中组装和组织虚拟标本馆
Thais Vasconcelos,James D Boyko
Thais Vasconcelos
Premise: Recent advances in imaging herbarium specimens have enhanced their use in biodiversity studies. However, user-friendly tools that facilitate the assembly of customized sets of herbarium specimen images on persona...
Expression-based machine learning models for predicting plant tissue identity [0.03%]
基于表达的机器学习模型预测植物组织身份
Sourabh Palande,Jeremy Arsenault,Patricia Basurto-Lozada et al.
Sourabh Palande et al.
Premise: The selection of Arabidopsis as a model organism played a pivotal role in advancing genomic science. The competing frameworks to select an agricultural- or ecological-based model species were rejected, in favor o...
Jamie R Sykes,Katherine J Denby,Daniel W Franks
Jamie R Sykes
Premise: Automated disease, weed, and crop classification with computer vision will be invaluable in the future of agriculture. However, existing model architectures like ResNet, EfficientNet, and ConvNeXt often underperf...
The sensitivity of reconstructed carbon dioxide concentrations to stomatal preparation methods using a leaf gas exchange model [0.03%]
叶气体交换模型下气孔制备方法对重建二氧化碳浓度敏感性的影响分析
Michael D Machesky,Nathan D Sheldon,Michael T Hren et al.
Michael D Machesky et al.
Premise: Mechanistic models using stomatal traits and leaf carbon isotope ratios to reconstruct atmospheric carbon dioxide (CO2) concentrations (c a ) are important to understand the Phanerozoic paleoclimate. However, met...
An optimized CTAB method for genomic DNA extraction from green seaweeds (Ulvophyceae) [0.03%]
一种改良的CTAB法从绿藻门海洋植物中提取基因组DNA
Riyad Hossen,Myles Courtney,Alasdair Sim et al.
Riyad Hossen et al.
Premise: Seaweeds are gaining substantial research interest, particularly for genomic applications, where high-quality DNA is a prerequisite. Extracting DNA from these organisms presents challenges due to high levels of b...
From phylogenomics to breeding: Can universal target capture probes be used in the development of SNP markers for kinship analysis? [0.03%]
从系统基因组学到育种：能否在亲缘关系分析的SNP标记开发中使用通用目标捕获探针？
Kedra M Ousmael,Ole K Hansen
Kedra M Ousmael
Premise: Leveraging DNA markers, particularly single-nucleotide polymorphisms (SNPs), in parentage analysis, sib-ship reconstruction, and genomic relatedness analysis can enhance plant breeding efficiency. However, the li...
Ensemble automated approaches for producing high-quality herbarium digital records [0.03%]
产生高质量标本馆数字记录的集成自动化方法
Robert P Guralnick,Raphael LaFrance,Julie M Allen et al.
Robert P Guralnick et al.
Premise: One of the slowest steps in digitizing natural history collections is converting labels associated with specimens into a digital data record usable for collections management and research. Here, we address how he...