Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Miguel A. Raffo"'
Autor:
Biructawit B. Tessema, Miguel A. Raffo, Xiangyu Guo, Simon F. Svane, Lene Krusell, Jens Due Jensen, Anja Karine Ruud, Marta Malinowska, Kristian Thorup-Kristensen, Just Jensen
Publikováno v:
Plant Methods, Vol 20, Iss 1, Pp 1-15 (2024)
Abstract Background In drought periods, water use efficiency depends on the capacity of roots to extract water from deep soil. A semi-field phenotyping facility (RadiMax) was used to investigate above-ground and root traits in spring barley when grow
Externí odkaz:
https://doaj.org/article/8dedd7489b0b4799adb6078b3954e215
Autor:
Miguel A. Raffo, Beatriz C. D. Cuyabano, Renaud Rincent, Pernille Sarup, Laurence Moreau, Tristan Mary-Huard, Just Jensen
Publikováno v:
Frontiers in Plant Science, Vol 13 (2023)
Individuals within a common environment experience variations due to unique and non-identifiable micro-environmental factors. Genetic sensitivity to micro-environmental variation (i.e. micro-environmental sensitivity) can be identified in residuals,
Externí odkaz:
https://doaj.org/article/c60a1fc60aa7490092618c1ec0e86540
Autor:
Miguel Angel Raffo, Pernille Sarup, Jeppe Reitan Andersen, Jihad Orabi, Ahmed Jahoor, Just Jensen
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Multi-trait and multi-environment analyses can improve genomic prediction by exploiting between-trait correlations and genotype-by-environment interactions. In the context of reaction norm models, genotype-by-environment interactions can be described
Externí odkaz:
https://doaj.org/article/e81446593f0e4566a4a7dea3f7e9b065
Autor:
Miguel Angel Raffo, Pernille Sarup, Xiangyu Guo, Huiming Liu, Jeppe Reitan Andersen, Jihad Orabi, Ahmed Jahoor, Just Jensen
Publikováno v:
Aarhus University
Raffo, M A, Sarup, P M, Andersen, J R, Guo, X, Liu, H, Orabi, J, Jahoor, A & Jensen, J 2022, ' Improvement of genomic prediction in advanced wheat breeding lines by including additive-by-additive epistasis ', Plant and Animal Genome-IWGSC, 09/01/2022 .
Raffo, M A, Sarup, P, Guo, X, Liu, H, Andersen, J R, Orabi, J, Jahoor, A & Jensen, J 2022, ' Improvement of genomic prediction in advanced wheat breeding lines by including additive-by-additive epistasis ', Theoretical and Applied Genetics, vol. 135, no. 3, pp. 965-978 . https://doi.org/10.1007/s00122-021-04009-4
Raffo, M A, Sarup, P M, Andersen, J R, Guo, X, Liu, H, Orabi, J, Jahoor, A & Jensen, J 2022, ' Improvement of genomic prediction in advanced wheat breeding lines by including additive-by-additive epistasis ', Plant and Animal Genome-IWGSC, 09/01/2022 .
Raffo, M A, Sarup, P, Guo, X, Liu, H, Andersen, J R, Orabi, J, Jahoor, A & Jensen, J 2022, ' Improvement of genomic prediction in advanced wheat breeding lines by including additive-by-additive epistasis ', Theoretical and Applied Genetics, vol. 135, no. 3, pp. 965-978 . https://doi.org/10.1007/s00122-021-04009-4
Key message Including additive and additive-by-additive epistasis in a NOIA parametrization did not yield orthogonal partitioning of genetic variances, nevertheless, it improved predictive ability in a leave-one-out cross-validation for wheat grain y
Autor:
Miguel Angel Raffo, Jeppe Reitan Andersen, Xiangyu Guo, Just Jensen, Huiming Liu, Ahmed Jahoor, Jihad Orabi, Pernille Sarup
Epistasis is the principal non-additive genetic effect in inbred wheat lines and can be used to develop cultivars based on total genetic merit. Correct models for variance components (VCs) estimation are needed to disentangle the genetic architecture
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91c4b0ecd408bc56809aa158cb5732a1
https://doi.org/10.21203/rs.3.rs-424490/v1
https://doi.org/10.21203/rs.3.rs-424490/v1