Integrating Molecular Markers and Environmental Covariates To Interpret Genotype by Environment Interaction in Rice (Oryza sativa L.) Grown in Subtropical Areas [PDF]
G3: Genes, Genomes, Genetics, 2019 Understanding the genetic and environmental basis of genotype × environment interaction (G×E) is of fundamental importance in plant breeding. If we consider G×E in the context of genotype × year interactions (G×Y), predicting which lines will have stable
Eliana Monteverde +7 more
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Including environmental covariates clarifies the relationship between endangered Atlantic salmon (Salmo salar) abundance and environmental DNA [PDF]
Environmental DNA, 2023 Collecting environmental DNA (eDNA) as a nonlethal sampling approach has been valuable in detecting the presence/absence of many imperiled taxa; however, its application to indicate species abundance poses many challenges.
Melissa K. Morrison +8 more
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Associating microbiome composition with environmental covariates using generalized UniFrac distances. [PDF]
Bioinformatics, 2012 Abstract Motivation: The human microbiome plays an important role in human disease and health. Identification of factors that affect the microbiome composition can provide insights into disease mechanism as well as suggest ways to modulate the microbiome composition for therapeutical purposes.
Chen J +8 more
europepmc +4 more sources
Influence of Environmental Covariates on Pollinator Community Occupancy, Detection, and Richness Across Urban Gardens in Richmond, Virginia, USA. [PDF]
Ecol EvolRuppel NJ +6 more
europepmc +5 more sources
Ecological Indicators, 2022 The scientific selection of environmental covariates is an important factor that affects the accuracy of digital soil mapping (DSM).An investigation of the influences of different environmental covariates on soil type identification is vital to ...
Mengqi Duan +3 more
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Semiparametric model selection for identification of environmental covariates related to adult groundfish catches and weights. [PDF]
Sci Rep, 2021 Correia HE.
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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 GenetTadese D, Piepho HP, Hartung J.
europepmc +3 more sources
Global Soil Salinity Prediction by Open Soil Vis-NIR Spectral Library
Remote Sensing, 2022 Soil salinization is one of the major degradation processes threatening food security and sustainable development. Detailed soil salinity information is increasingly needed to tackle this global challenge for improving soil management.
Yin Zhou +11 more
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Recalcitrant C Source Mapping Utilizing Solely Terrain-Related Attributes and Data Mining Techniques
Agronomy, 2022 Agricultural practices affect arbuscular mycorrhizal fungal (AMF) hyphae growth and glomalin production, which is a recalcitrant carbon (C) source in soil.
Arezou Siami +5 more
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Extending Finlay–Wilkinson regression with environmental covariates
Plant Breeding, 2023 Abstract Finlay–Wilkinson regression is a popular method for analysing genotype–environment interaction in series of plant breeding and variety trials. It involves a regression on the environmental mean, indexing the productivity of an environment, which is driven by a wide array of environmental factors.
Piepho, Hans‐peter, Blancon, Justin
openaire +3 more sources