Genomic prediction of yield and root development in wheat under changing water availability

Autor: Xiangyu Guo, Simon F. Svane, Winnie S. Füchtbauer, Jeppe R. Andersen, Just Jensen, Kristian Thorup-Kristensen

Publikováno v: Plant Methods, Vol 16, Iss 1, Pp 1-15 (2020)

Abstract Background Deeper roots help plants take up available resources in deep soil ensuring better growth and higher yields under conditions of drought. A large-scale semi-field root phenotyping facility was developed to allow a water availability

Externí odkaz: https://doaj.org/article/e5407dca0c3947f5a03372aba1cb19ff

Genomic prediction of yield and root development in wheat under changing water availability

Autor: Simon F. Svane, Just Jensen, Xiangyu Guo, Winnie S. Füchtbauer, Kristian Thorup-Kristensen, Jeppe Reitan Andersen

Publikováno v: Guo, X, Svane, S F, Fuchtbauer, W S, Andersen, J R, Jensen, J & Thorup-Kristensen, K 2020, ' Genomic prediction of yield and root development in wheat under changing water availability ', Plant Methods, vol. 16, no. 1, 90 . https://doi.org/10.1186/s13007-020-00634-0
Guo, X, Svane, S F, Füchtbauer, W S, Andersen, J R, Jensen, J & Thorup-Kristensen, K 2020, ' Genomic prediction of yield and root development in wheat under changing water availability ', Plant Methods, vol. 16, 90 . https://doi.org/10.1186/s13007-020-00634-0
Plant Methods
Plant Methods, Vol 16, Iss 1, Pp 1-15 (2020)

Background Deeper roots help plants take up available resources in deep soil ensuring better growth and higher yields under conditions of drought. A large-scale semi-field root phenotyping facility was developed to allow a water availability gradient

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27c3bf4d0821f29430dccad4dc1184f3
https://curis.ku.dk/portal/da/publications/genomic-prediction-of-yield-and-root-development-in-wheat-under-changing-water-availability(2887e72c-80e6-49a2-ab16-0ec484d5f925).html

The effect of heterogeneity on invasion in spatial epidemics: from theory to experimental evidence in a model system

Autor: Francisco J. Pérez-Reche, D. J. Bailey, Winnie S. Füchtbauer, Sergei N. Taraskin, Franco M. Neri, Christopher A. Gilligan, Wilfred Otten, Anne Bates

Publikováno v: PLoS Computational Biology, Vol 7, Iss 9, p e1002174 (2011)
Plos Computational Biology 9 (7), . (2011)
PLoS Computational Biology
Neri, F M, Bates, A, Füchtbauer, W S, Pérez-Reche, F J, Taraskin, S N, Otten, T SIMBIOS C U O A D, Bailey, D J & Gilligan, C A 2011, ' The effect of heterogeneity on invasion in spatial epidemics : From theory to experimental evidence in a model system ', P L o S Computational Biology, vol. 7, no. 9, pp. e1002174 . https://doi.org/10.1371/journal.pcbi.1002174
PLoS Computational Biology, Public Library of Science, 2011, 7 (9), ⟨10.1371/journal.pcbi.1002174⟩
PLoS Computational Biology, 2011, 7 (9), ⟨10.1371/journal.pcbi.1002174⟩

Heterogeneity in host populations is an important factor affecting the ability of a pathogen to invade, yet the quantitative investigation of its effects on epidemic spread is still an open problem. In this paper, we test recent theoretical results,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5928ede29b6d8697019917528b0dea2
http://europepmc.org/articles/PMC3182855?pdf=render