"Physiological and demographic responses of Nilaparvata lugens to combined climate stressors: CO2, temperature, and ozone" [0.03%]
褐飞虱对复合气候逆境的生理和 demographic 响应：CO₂、温度和臭氧的影响研究
Yogesh Yele,Subhash Chander,Sachin S Suroshe et al.
Yogesh Yele et al.
Climate change factors, including elevated carbon dioxide (eCO2), elevated ozone (e03), and the combined effect of elevated temperature and CO2 (eT+eCO2), significantly influence the population dynamics, development, and feeding behavior of...
Effects of maturity stage and mancozeb on phyllosphere microbial communities and the plant health potential of silage maize [0.03%]
成熟阶段和代森锰锌对青贮玉米叶球微生物群落及植物健康潜力的影响
Qingbiao Xu,Qiu Yang,Xianli Lu et al.
Qingbiao Xu et al.
Mancozeb is often used to supplement the nutritional requirements of maize for elements such as manganese and zinc, as well as for the control of diseases such as large blotches and stripe blotches. The objective of this study was to assess...
Does climatic variation drive the adjustment of functional traits? An assessment of Tropical Montane Cloud Forest tree species [0.03%]
气候波动驱动功能型性状的调整吗？对热带山地云雾林树种的评估
Agustina Rosa Andrés-Hernández,Ernesto C Rodríguez-Ramírez
Agustina Rosa Andrés-Hernández
Introduction: Tropical montane cloud forests (TMCFs) host specialized plant species reliant on persistent atmospheric humidity, including fog immersion obligates and relict assemblages. Understanding anatomical and morpho...
Huan Zhang,Jia Zhao,Tongxing Zhang et al.
Huan Zhang et al.
The plant-specific NAC transcription factor family has the largest number of members, they are involved in regulating the entire process of plant growth and development, and the responses to biotic and abiotic stressors. This article review...
THz image recognition of moldy wheat based on multi-scale context and feature pyramid [0.03%]
基于多尺度语境和特征金字塔的霉变小麦太赫兹图像识别
Yuying Jiang,Xinyu Chen,Hongyi Ge et al.
Yuying Jiang et al.
Wheat is susceptible to mold growth due to storage conditions, which subsequently affects its quality; therefore, timely and rapid identification of moldy wheat is critically important. In order to achieve high-precision recognition and cla...
Deep learning-based text generation for plant phenotyping and precision agriculture [0.03%]
基于深度学习的文本生成在植物表型和精准农业中的应用
Li Zhu,Long Tang,Shan Ren
Li Zhu
Introduction: Plant phenotyping is a critical area in agricultural research that focuses on assessing plant traits quantitatively to enhance productivity and sustainability. While traditional methods remain important, the...
Elevation and seasonality modulate the leaf decomposition rates and nutrient flux of diverse species and species richness in karst river systems across China [0.03%]
elevation和季节性调节了中国喀斯特河流系统中不同物种及其丰富度的叶片分解率和养分通量
Zhangting Chen,Muhammad Arif,Mengyao Tian
Zhangting Chen
Karst river systems (KRSs) are essential to regional biogeochemical cycling and are defined by their distinct geomorphological and hydrological features. Understanding the factors controlling litter decomposition and associated nutrient flu...
PRGminer: harnessing deep learning for the prediction of resistance genes involved in plant defense mechanisms [0.03%]
基于深度学习的植物抗病相关抗性基因预测方法_PRGMiner
Naveen Duhan,Rakesh Kaundal
Naveen Duhan
Plant resistance genes are crucial in plant defense systems against a variety of diseases and pests. These plant-specific genes encode proteins that identify particular molecular patterns associated with pathogens invading the plants. When ...
Insights of Phaseolus vulgaris' response to infection by Uromyces appendiculatus using an RNA-seq approach [0.03%]
采用RNA测序技术分析菜豆对柱盘单胞锈菌侵染的响应机制
Penny Makhumbila,Molemi Rauwane,Hangwani Muedi et al.
Penny Makhumbila et al.
Rust, caused by the obligate biotrophic fungal pathogen Uromyces appendiculatus (Pers.:Pers.) Unger, is one of the most destructive diseases of common bean (Phaseolus vulgaris L.) causing yield losses in production areas worldwide. This stu...