Gibberellin Treatment Toward Off-crop Season as a Practical Tool to Increase Yield in ‘Orri’ Mandarin by Dor Haim, Itzhak Kamara, Michael Morozov, Avi Sadka

“…In citrus, the bud meristem develops into a leafless inflorescence (generative), leafy inflorescence (mixed type, containing leaves and flowers in various ratios), or vegetative shoot, or remains dormant. Mixed-type inflorescences contribute to most of the final yield. …”
Get full text

Deep-Learning-Driven Insights into Nitrogen Leaching for Sustainable Land Use and Agricultural Practices by Caixia Hu, Jie Li, Yaxu Pang, Lan Luo, Fang Liu, Wenhao Wu, Yan Xu, Houyu Li, Bingcang Tan, Guilong Zhang

“…A total of 509 observational data points regarding nitrate leaching in northern China were collected, capturing the spatial and temporal variations across crops such as winter wheat, maize, and greenhouse vegetables. A machine learning (ML) model for predicting nitrate leaching was then developed, with the random forest (RF) model outperforming the support vector machine (SVM), extreme gradient boosting (XGBoost), and convolutional neural network (CNN) models, achieving an R² of 0.75. …”
Get full text

Modelling relative richness of flooding-response groups to predict hydrology-driven change in wetland plant communities by David C. Deane, Michelle T. Casanova, Jason Nicol, Justin D. Brookes

“…Grouping plant species by flooding tolerance simplifies hydrological response modelling, with changes in group representation along the hydrological gradient defining both distinct vegetation zones and transition thresholds between them. …”
Get full text

Mechanisms of phenolic biosynthesis induced by ultrasound stress in fresh-cut red cabbages based on energy metabolism analysis by Ningning Ouyang, Chen Hong, Lina Guo, Xinyan Zhang, Wenjuan Qu, Haile Ma

“…Positive energy regulation could be a potential mechanism to improve the nutritive value of fruits and vegetables subjected to ultrasonic washing.…”
Get full text

Risk effects of environmental factors on human brucellosis in Aksu Prefecture, Xinjiang, China, 2014–2023 by Di Wu, Xinxiu Shen, Quan Zhou, Jing Zhou, Ruonan Fu, Chang Wang, Yuhua Ma, Chenchen Wang

“…The largest contributing was the normalized difference vegetation index (NDVI), followed by gross domestic product (GDP), and then meteorological factors such as average temperature, average relative humidity, and average wind speed. …”
Get full text

High and Low Taxa Specificity of Rhizosphere Bacteria Communities of Mangrove (Rhizophora mucronata) from Kuala Langsa and Telaga Tujuh Island, East Aceh by Siti Maysaroh, Meutia Samira Ismet, Rita Andini, Nurlita Anggraini, Beginer Subhan

“…Investigating the bacteria associated with its rhizosphere offers valuable information about the symbiotic relationships between mangrove vegetation and microbial communities. Bacteria are vital for decomposition and nutrient availability in mangroves. …”
Get full text

Effects of Light Intensity and Irrigation Method on Growth, Quality, and Anthocyanin Content of Red Oak Lettuce (<i>Lactuca sativa</i> var. <i>cripspa</i> L.) Cultivated in a Plant... by Thanit Ruangsangaram, Pariyanuj Chulaka, Kriengkrai Mosaleeyanon, Panita Chutimanukul, Michiko Takagaki, Na Lu

“…Additionally, spectral indices, including normalized difference vegetation index and photochemical reflectance index, varied significantly among treatments. …”
Get full text

Numerical Simulation of Surface Energy and Water Balances over a Semiarid Grassland Ecosystem in the West African Savanna by Emmanuel Quansah, Genki Katata, Matthias Mauder, Thompson Annor, Leonard K. Amekudzi, Jan Bliefernicht, Dominikus Heinzeller, Ahmed A. Balogun, Harald Kunstmann

“…To understand surface energy exchange processes over the semiarid regions in West Africa, numerical simulations of surface energy and water balances were carried out using a one-dimensional multilayer atmosphere-SOil-VEGetation (SOLVEG) model for selected days of the dry and rainy seasons over a savanna grassland ecosystem in Sumbrungu in the Upper East region of Ghana. …”
Get full text

Different nitrogen uptake patterns of plant and soil microorganisms in the forest-grassland transition zone on the Loess Plateau by Lina Wang, Xu Deng, Ying Zhou, Xueqi Geng, Zeling Zhang, Yakun Tang

“…This study helped to gain a deeper understanding of the plasticity of N uptake patterns by plants and microorganisms in the forest–grassland transition zone, and provides theoretical support for vegetation restoration during the implementation of the Grain for Green program on the Loess Plateau.…”
Get full text

Machine learning-based monitoring of land cover and reclamation plantations on coal-mined landscape using Sentinel 2 data by Mayank Pandey, Alka Mishra, Singam L. Swamy, James T. Anderson, Tarun Kumar Thakur

“…Support Vector Machine has been identified as a more accurate and effective ML algorithm compared to Random Forest and Maximum Likelihood Classifier in delineating land use and vegetation classes, particularly forests, and in distinguishing reclamation plantations into three age classes: young (4 ± 3 years), middle-aged (10 ± 2 years), and mature (15 ± 2 years). …”
Get full text

Remotely-sensed products capture the spatial distribution of regional carbon sequestration potential ability: A case study of Hubei Province, China by Zhaolong Li, Lingya Huang, Yuanyong Dian

“…This study utilized free and open-source remote sensing data products, including above-ground biomass (AGB), gross primary productivity (GPP), fractional vegetation cover (FVC), and land use classification, to calculate the RCSPI and generate a Pixel Carbon Sequestration Potential Index (PCSPI) map. …”
Get full text

OsLAP3/OsSTRL2, encoding a rice strictosidine synthase, is required for anther cuticle formation and pollen exine patterning in rice by Dai-bo Chen, Ran Zhou, Ran Zhou, Hui-min Wang, Pei-pei Zhang, Zheng-fu Yang, Zheng-fu Yang, Dan-dan Xuan, Ying-xin Zhang, Xiao-deng Zhan, Li-yong Cao, Li-yong Cao, Shi-hua Cheng, Lian-ping Sun, Lian-ping Sun

“…In this study, a male-sterile rice mutant, lap3, was identified, characterized by normal vegetative growth but complete male sterility due to delayed programmed cell death (PCD) in tapetal cells and defects in anther cuticle and pollen exine formation. …”
Get full text

Spatiotemporal dynamics of soil organic carbon in desert region and its response to climate change: A case study of Heihe river by Yuqing Chen, Haiyang Xi, Wenju Cheng

“…Spatially, SOC density in the HRL is primarily distributed along river corridors, aligning closely with vegetation patterns. Additionally, SOC density shows a positive correlation with temperature and a negative correlation with precipitation. …”
Get full text

Geotechnical investigations of lead-silver ore processing residues at the Auzelles site, Auvergne (France) by Diaka Sidibé, Mamadou Diallo, Ahmed Amara Konaté, Muhammad Zaheer

“…Proactive management, based on these results, requires the implementation of appropriate rehabilitation techniques, such as drainage optimization and incorporation of vegetation covers, to minimize environmental impacts and ensure the long-term sustainability of mining waste structures.…”
Get full text

Impacts of climate-driven insect population change on sawtimber provisioning, carbon sequestration, and water retention: a case study of bark beetle outbreaks in the USA by Haojie Chen, Matthew R. Sloggy, Samuel W. Flake, Samuel Evans, Charles J. Maxwell

“…A key issue in landscape management, whether public or private, is the mitigation of disturbance events that impact vegetation, ecosystem health, and thus ecosystem services (ESs). …”
Get full text

Risk Factors Associated with Leishmaniasis in the Most Affected Provinces by Leishmania infantum in Morocco by Maryam Hakkour, Asmae Hmamouch, Mohamed Mahmoud El Alem, Abdelhakim Bouyahya, Abdelaali Balahbib, Abdelhak EL Khazraji, Hajiba Fellah, Abderrahim Sadak, Faiza Sebti

“…Regarding the environmental factors, the humidity and the altitude were significant for both CL and VL (P<0.05), while the temperature and the normalized difference vegetation index (NDVI) showed a significance only for VL. …”
Get full text

The study of oat varieties (Avena sativa L.) of various geographical origin for grain quality and productivity by V. I. Polonskiy, N. A. Surin, S. A. Gerasimov, A. G. Lipshin, A. V. Sumina, S. Zute

“…To determine the prospects for further use of oat samples, other chemical, physical and production characteristics were measured in parallel: the protein  and oil content in the grain, its film content, test weight, 1000 grains weight, the vegetation period and the yield. The object of a comprehensive evaluation was 14 hulled and naked 5 VIR (N.I. …”
Get full text

Machine Learning Model Reveals Land Use and Climate’s Role in Caatinga Wildfires: Present and Future Scenarios by Rodrigo N. Vasconcelos, Mariana M. M. de Santana, Diego P. Costa, Soltan G. Duverger, Jefferson Ferreira-Ferreira, Mariana Oliveira, Leonardo da Silva Barbosa, Carlos Leandro Cordeiro, Washington J. S. Franca Rocha

“…Future research should incorporate additional variables, such as vegetation recovery and socio-economic factors, to refine predictions. …”
Get full text

H3K4 methylation regulates development, DNA repair, and virulence in Mucorales by Macario Osorio-Concepción, Carlos Lax, Damaris Lorenzo-Gutiérrez, José Tomás Cánovas-Márquez, Ghizlane Tahiri, Eusebio Navarro, Ulrike Binder, Francisco Esteban Nicolás, Victoriano Garre

“…These strains also showed a significant reduction in vegetative growth and sporulation. Additionally, set1 null strains were more sensitive to SDS, EMS, and UV light, indicating severe impairment in the repair process of the cell wall and DNA lesions and a correlation between Set1 and these processes. …”
Get full text

Exploring nonlinear and interaction effects of urban campus built environments on exercise walking using crowdsourced data by Bo Lu, Bo Lu, Qingyun Liu, Hao Liu, Tianxiang Long, Tianxiang Long

“…By applying the XGBoost algorithm and SHAP (SHapley Additive exPlanations), an explainable machine learning framework was established to evaluate the importance of various factors, explore the nonlinear relationships between variables and walking activity, and analyze the interaction effects among these variables.ResultsThe findings underscore the significant impact of several key factors, including the proportion of sports land, proximity to water bodies, and Normalized Difference Vegetation Index NDVI, alongside the notable influence of six distinct campus area types. …”
Get full text