Results 51 to 60 of about 170,155 (161)

A matter of scale: Identifying the best spatial and temporal scale of environmental variables to model the distribution of a small cetacean

Ecology and Evolution
The importance of scale when investigating ecological patterns and processes is recognised across many species. In marine ecosystems, the processes that drive species distribution have a hierarchical structure over multiple nested spatial and temporal ...
Tiffany Goh, Mark Jessopp, Emer Rogan, Enrico Pirotta   +3 more
doaj   +1 more source

Integrating Envirotyping and Phenomics for AI-Enabled Multi-Environment Genomic Prediction in Crop Breeding

Agronomy
Genomic prediction is now routine in crop improvement, but its main bottleneck has shifted from marker density to environmental complexity. Breeders rarely need predictions for one fixed environment; they need to rank genotypes across target populations ...
Xiongwei Liang, Shaopeng Yu, Yongfu Ju, Yingning Wang, Dawei Yin   +4 more
doaj   +1 more source

Spatiotemporal Evolution of Soil Nutrients in Land Consolidation Areas: A Random Forest Model-Based Perspective from Anyi County, Jiangxi Province

Land
Understanding the long-term spatiotemporal dynamics of soil nutrients in land consolidation areas is essential for sustainable land management. In this study, the changes in soil organic matter (SOM), available nitrogen (AN), available phosphorus (AP ...
Wei Qiu, Xiaomin Zhao, Bifeng Hu, Ji Huang, Xi Guo, Xuelong Yang   +5 more
doaj   +1 more source

A Comprehensive Evaluation of Machine Learning Algorithms for Digital Soil Organic Carbon Mapping on a National Scale

Applied Sciences
The aim of this study was to narrow the research gap of ambiguity in which machine learning algorithms should be selected for evaluation in digital soil organic carbon (SOC) mapping.
Dorijan Radočaj, Danijel Jug, Irena Jug, Mladen Jurišić   +3 more
doaj   +1 more source

Ground-Active Arthropod Diversity Under Energycane and Biomass Sorghum Production

Insects
Energycane and biomass sorghum are two of the most promising cellulosic energy crops in the southeastern US. Research on these two energy crops has focused mainly on biomass production, and there is a lack of knowledge on their ability to promote ...
Yubin Yang, Tanumoy Bera, Hamid Araji, Fugen Dou, Lloyd T. Wilson, William L. Rooney, Jesse I. Morrison, Brian S. Baldwin, Joseph E. Knoll, John L. Jifon, Alan L. Wright, Dennis C. Odero, Hardev S. Sandhu, Anna L. Hale, Himaya P. Mula-Michel, Jing Wang   +15 more
doaj   +1 more source

Multivariate analysis in the evaluation of soil attributes in areas under different uses in the region of Humaitá, AM

Revista Ambiente & Água, 2019
The recognition of the influence of management practices on soil physical and chemical conditions is substantial for sustainable agriculture. For this reason, this study was developed for the purpose of evaluating the behavior of soil attributes under ...
José Carlos Marques Pantoja, Milton César Costa Campos, Alan Ferreira Leite de Lima, José Maurício da Cunha, Emily Lira Simões, Ivanildo Amorim de Oliveira, Laércio Santos Silva   +6 more
doaj   +1 more source

POPS: A Software for Prediction of Population Genetic Structure Using Latent Regression Models

Journal of Statistical Software, 2015
The software POPS performs inference of population genetic structure using multilocus genotypic data. Based on a hierarchical Bayesian framework for latent regression models, POPS implements algorithms that improve estimation of individual admixture ...
Flora Jay, Olivier François, Eric Y. Durand, Michael G. B. Blum   +3 more
doaj   +1 more source

Relationship between Environmental Covariates and Ceylon Tea Cultivation in Sri Lanka

Agronomy, 2020
How the current distribution of tea cultivation is influenced by specific environmental conditions in Sri Lanka is yet to be explored. Therefore, this study aims to assess the differences between tea and non-tea growing areas with respect to climatic and
Sadeeka Layomi Jayasinghe, Lalit Kumar, Md Kamrul Hasan   +2 more
doaj   +1 more source

Integrating Environmental Variables into Geostatistical Interpolation: Enhancing Soil Mapping for the MEDALUS Model in Montenegro

Land
Geostatistical methods are important in analyzing natural resources providing input data for complex mathematical models that address environmental processes and their spatial distribution. Ten interpolation methods and one empirical-based classification
Stefan Miletić, Jelena Beloica, Predrag Miljković   +2 more
doaj   +1 more source

Leveraging window-pane analysis with environmental factor loadings of genotype-by-environment interaction to identify high-resolution weather-based variables associated with plant disease

Frontiers in Plant Science
Designing and identifying biologically meaningful weather-based predictors of plant disease is challenging due to the temporal variability of conducive conditions and interdependence of weather factors.
Vinicius C. Garnica, Peter S. Ojiambo
doaj   +1 more source