Establishment of regeneration system of Peucedanum praeruptorum and molecular association analysis of coumarin secondary metabolism [0.03%]
前胡再生体系的建立及香豆素次生代谢分子关联分析
Liu Tianliang,Wang Liang,Zhang Yudan et al.
Liu Tianliang et al.
Introduction: Peucedanum praeruptorum is a medicinally critical species whose sustainable utilization is hindered by declining wild populations and insufficient cultivation systems. This study aimed to establish an optimi...
Editorial: Integrating omics to unveil legume stress response mechanisms [0.03%]
主编评论：整合组学解密豆科植物的胁迫响应机制
Inês Maria Valente,Cristiano Soares,Henrique Trindade
Inês Maria Valente
Assessing the impact of climate change on the potential distribution of Keteleeria evelyniana Mast. in southwest China: a Maxent modeling approach [0.03%]
基于最大熵模型评估气候变化对中国西南秦岭冷杉潜在分布区的影响
Yuan Feng,Guanghui Dai,Hua Li et al.
Yuan Feng et al.
Keteleeria evelyniana Mast., which is widespread in southwestern China, is valuable for studying under different future climate scenarios to assess potential distribution shifts in response to climate warming. Understanding these changes ca...
STay tunEd: mutational analysis of the HvSTE1 gene in barley provides insight into the balance between semi-dwarfism and maintenance of grain size in brassinosteroid biosynthesis-dependent manner [0.03%]
barley中HvSTE1基因的突变分析从 brassinosteroid生物合成依赖的角度为半矮杆和籽粒大小维持之间的平衡提供了新的见解
Karolina Zolkiewicz,Jana Oklestkova,Beata Chmielewska et al.
Karolina Zolkiewicz et al.
Brassinosteroids (BRs) are steroid phytohormones which regulate various physiological and developmental processes throughout plant life cycle. The BR biosynthesis has been studied mainly in the dicot model species - Arabidopsis thaliana. Ho...
Incorporating gene expression and environment for genomic prediction in wheat [0.03%]
整合基因表达和环境进行小麦基因组预测
Jia Liu,Andrew Gock,Kerrie Ramm et al.
Jia Liu et al.
Introduction: The adoption of novel molecular strategies such as genomic selection (GS) in crop breeding have been key to maintaining rates of genetic gain through increased efficiency and shortening the cycle of evaluati...
Predictive modelling employing machine learning, convolutional neural networks (CNNs), and smartphone RGB images for non-destructive biomass estimation of pearl millet (Pennisetum glaucum) [0.03%]
基于机器学习、卷积神经网络和智能手机RGB图像的低损估算珍珠小米生物量的预测模型
Faten Dhawi,Abdul Ghafoor,Norah Almousa et al.
Faten Dhawi et al.
Digital tools and non-destructive monitoring techniques are crucial for real-time evaluations of crop output and health in sustainable agriculture, particularly for precise above-ground biomass (AGB) computation in pearl millet (Pennisetum ...
Early detection of Citrus Huanglongbing by UAV remote sensing based on MGA-UNet [0.03%]
基于MGA-UNet的无人机遥感柑橘黄龙病早期检测方法研究
Naibo Ye,Wenyong Mai,Feng Qin et al.
Naibo Ye et al.
Citrus Huanglongbing (HLB), also known as citrus greening, is a severe disease that has caused substantial economic damage to the global citrus industry. Early detection is challenging due to the lack of distinctive early symptoms, making c...
Towards ROXAS AI: automatic multi-species ring boundaries segmentation as regression in anatomical images [0.03%]
ROXAS AI：解剖图像中多物种环状边界分割的回归方法研究
Marc Katzenmaier,Vivien Sainte Fare Garnot,Jan Dirk Wegner et al.
Marc Katzenmaier et al.
Introduction: Quantitative wood anatomy (QWA) along a time series of tree rings (known as tree-ring anatomy or dendroanatomy) has proven to be very valuable for reconstructing climate and for investigating the responses o...
Response of alfalfa growth and rhizosphere properties to soil phosphorus supply and mowing in a salt-affected soil [0.03%]
土壤供磷和刈割对盐渍土 alfalfa 生长及根际性质的影响
Junjie Tian,Weifan Wan,Qian Liu et al.
Junjie Tian et al.
Introduction: Phosphorus (P) deficiency is a key limiting factor for alfalfa quality and yield in salt- affected soils, and root exudates are considered as a strategy for alfalfa P acquisition under P stress, which requir...
Youcheng Zhang,Jun Song,Xinjian Yu et al.
Youcheng Zhang et al.
Tea pest and disease detection is crucial in tea plantation management, however, challenges such as multi-target occlusion and complex background impact detection accuracy and efficiency. To address these issues, this paper proposes an impr...