ABSTRACT The aim of this study was to evaluate the impact of incorporating genomic information on the estimation of genetic (co)variance components and the accuracy of breeding values for milk yield under varying thermal environments, and to identify SNPs associated with genes that play significant roles in heat tolerance.
Gabriela Stefani +3 more
wiley +1 more source
Species Richness of Freshwater Fish Trophic Guilds Increases With Tropical River Discharge and Decreases With Variability. [PDF]
Perna CN +6 more
europepmc +1 more source
Sequential Outlier Detection in Nonstationary Time Series
ABSTRACT A novel method for sequential outlier detection in nonstationary time series is proposed. The method tests the null hypothesis of “no outlier” at each time point, addressing the multiple testing problem by bounding the error probability of successive tests, using extreme‐value theory. The asymptotic properties of the test statistic are studied
Florian Heinrichs +2 more
wiley +1 more source
Forecasting urban air quality in Paris using ensemble machine learning: A scalable framework for environmental management. [PDF]
Asklany SA +4 more
europepmc +1 more source
Four Afrotropical Culicoides species are recorded in Mauritius with suspected or historically involvement in BTV and EHDV transmission. All species were distributed all over the island. While intra‐specific morphological variations were detected, genetic analyses did not reveal any cryptic diversity. Abstract Viruses transmitted by biting midge species
Diana P. Iyaloo +15 more
wiley +1 more source
Mountain flood forecasting in small watershed based on loop multi-step machine learning regression model. [PDF]
Wang S, Peng B, Xu O, Zhang Y, Wang J.
europepmc +1 more source
ALGA-DenseNet ground-based cloud classification network based on multi-scale features. [PDF]
Tu B +5 more
europepmc +1 more source
Cold hardiness mechanisms and modeling: existing approaches and future avenues
Summary Cold hardiness models are useful tools to predict cold damage in plants, such as those produced by unseasonal temperature cycles or by increased cold exposure. Although development of these models started about five decades ago, their applications remain limited.
Guillaume Charrier +3 more
wiley +1 more source
Improving object detection in challenging weather for autonomous driving via adversarial image translation. [PDF]
Wang K, Zhao Y.
europepmc +1 more source
PEP725: 15 years of driving European and global phenology science
Summary Phenology – the timing of seasonal biological events – is a sensitive indicator of climate change and ecosystem dynamics. Long‐term, broad‐scale phenological data are crucial for understanding and predicting plant responses to environmental change.
Barbara Templ +4 more
wiley +1 more source

