Results 91 to 100 of about 170,155 (161)

Mapping Soil Organic Carbon by Integrating Time-Series Sentinel-2 Data, Environmental Covariates and Multiple Ensemble Models. [PDF]

Sensors (Basel)
Cui Z, Chen S, Hu B, Wang N, Feng C, Peng J.   +5 more
europepmc   +1 more source

Editorial: Enriching genomic breeding with environmental covariates, crop models, and high-throughput phenotyping. [PDF]

Front Genet
Xavier A, Rainey KM, Robbins KR.
europepmc   +1 more source

Biological and environmental covariates of juvenile sockeye salmon distribution and abundance in the southeastern Bering Sea, 2002-2018. [PDF]

Ecol Evol
Yasumiishi EM, Cunningham CJ, Farley EV, Eisner LB, Strasburger WW, Dimond JA, Irvin P.   +6 more
europepmc   +1 more source

Associating microbiome composition with environmental covariates using generalized UniFrac distances. [PDF]

Bioinformatics, 2012
Chen J, Bittinger K, Charlson ES, Hoffmann C, Lewis J, Wu GD, Collman RG, Bushman FD, Li H.   +8 more
europepmc   +1 more source

Accuracy of prediction from multi-environment trials for new locations using pedigree information and environmental covariates: the case of sorghum (Sorghum bicolor (L.) Moench) breeding. [PDF]

Theor Appl Genet
Tadese D, Piepho HP, Hartung J.
europepmc   +1 more source

Modeling chronic wasting disease transmission risk in mule deer related to habitat characteristics. [PDF]

PLoS One
Christensen EM, Kleist NJ, Edmunds DR, Heinrichs JA, Saher DJ, Whipple AL, DeVivo M, Aldridge CL.   +7 more
europepmc   +1 more source

High Spatial Resolution Ensemble Species Distribution Modeling of <i>Rhodnius prolixus</i>, Vector of Chagas Disease, in Western Venezuela. [PDF]

Geohealth
Gao Y, Añez N, Chaves LF.
europepmc   +1 more source

A conceptual framework for simultaneous optimization of integrated climate scenario data and phenology models. [PDF]

Agron Sustain Dev
Tschurr F, Kotlarski S, Martre P, Walter A, Roth L.   +4 more
europepmc   +1 more source

A novel methodological framework for predicting and mapping agriculture-related soil attributes using Euclidean distance, regular grids, and machine learning algorithms. [PDF]

PLoS One
Veloso GV, de Mello DC, Fernandes-Filho EI, de Souza CMP, da Silva LAP, Santo MME, Vasques GM, Coelho MR, Demattê JAM.   +8 more
europepmc   +1 more source

Environmental drivers of sulfur dioxide variability in a tropical urban region: a state space modeling approach for Campo Grande, Brazil. [PDF]

Environ Monit Assess
de Souza A, de Oliveira Júnior JF, Pérez FL, Cardoso KRA.   +3 more
europepmc   +1 more source