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Articles 1 - 3 of 3
Full-Text Articles in Life Sciences
Evaluating Moose Alces Alces Population Response To Infestation Level Of Winter Ticks Dermacentor Albipictus, Daniel D. Ellingwood, Peter J. Pekins, Henry Jones, Anthony R. Musante
Evaluating Moose Alces Alces Population Response To Infestation Level Of Winter Ticks Dermacentor Albipictus, Daniel D. Ellingwood, Peter J. Pekins, Henry Jones, Anthony R. Musante
USDA Wildlife Services: Staff Publications
Many wildlife populations are experiencing a variety of environmental pressures due to the direct and indirect consequences of a changing climate. In the northeast, USA, moose Alces alces are declining in large part because of the increasing parasitism by winter tick Dermacentor albipictus, facilitated by high host density and optimal environmental conditions. To test this hypothesis, and better understand the influence of this interaction on the stability of the regional population, we constructed a population viability model using data collected through comprehensive survival and productivity studies in 2002–2005 and 2014–2018 in northern New Hampshire. Years of heavy tick infestation (epizootics) …
Prospects And Challenges Of Population Health With Online And Other Big Data In Africa; Understanding The Link To Improving Healthcare Service Delivery, Rowland Edet, Bolarinwa Afolabi
Prospects And Challenges Of Population Health With Online And Other Big Data In Africa; Understanding The Link To Improving Healthcare Service Delivery, Rowland Edet, Bolarinwa Afolabi
Department of Sociology: Faculty Publications
Big data analytics offers promises to many health care service challenges and can provide answers to many population health issues. Big data is having a positive impact in almost every sphere of life in more advanced world while developing countries are striving to meet up. Even though healthcare systems in the developed world are recording some breakthroughs due to the application of big data, it is important to research the impact of big data in developing regions of the world, such as Africa and identify its peculiar needs. The purpose of this review was to summarize the challenges faced by …
Training Population Optimization For Genomic Selection In Miscanthus, Marcus O. Olatoye, Lindsay V. Clark, Nicholas R. Labonte, Hongxu Dong, Maria S. Dwiyanti, Kossonou G. Anzoua, Joe E. Brummer, Bimal K. Ghimire, Elena Dzyubenko, Nikolay Dzyubenko, Larisa Bagmet, Andrey Sabitov, Pavel Chebukin, Katarzyna Głowacka, Kweon Heo, Xiaoli Jin, Hironori Nagano, Junhua Peng, Chang Y. Yu, Ji H. Yoo, Hua Zhao, Stephen P. Long, Toshihiko Yamada, Erik J. Sacks, Alexander E. Lipka
Training Population Optimization For Genomic Selection In Miscanthus, Marcus O. Olatoye, Lindsay V. Clark, Nicholas R. Labonte, Hongxu Dong, Maria S. Dwiyanti, Kossonou G. Anzoua, Joe E. Brummer, Bimal K. Ghimire, Elena Dzyubenko, Nikolay Dzyubenko, Larisa Bagmet, Andrey Sabitov, Pavel Chebukin, Katarzyna Głowacka, Kweon Heo, Xiaoli Jin, Hironori Nagano, Junhua Peng, Chang Y. Yu, Ji H. Yoo, Hua Zhao, Stephen P. Long, Toshihiko Yamada, Erik J. Sacks, Alexander E. Lipka
Department of Biochemistry: Faculty Publications
Miscanthus is a perennial grass with potential for lignocellulosic ethanol production. To ensure its utility for this purpose, breeding efforts should focus on increasing genetic diversity of the nothospecies Miscanthus x giganteus (M·g) beyond the single clone used in many programs. Germplasm from the corresponding parental speciesM. sinensis (Msi) and M. sacchariflorus (Msa) could theoretically be used as training sets for genomic prediction of M·g clones with optimal genomic estimated breeding values for biofuel traits. To this end, we first showed that subpopulation structure makes a substantial contribution to the genomic selection (GS) prediction accuracies within a 538-member diversity panel …