Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Simon Teyssedre"'
Autor:
David C Haws, Irina Rish, Simon Teyssedre, Dan He, Aurelie C Lozano, Prabhanjan Kambadur, Zivan Karaman, Laxmi Parida
Publikováno v:
PLoS ONE, Vol 10, Iss 10, p e0138903 (2015)
Accurate prediction of complex traits based on whole-genome data is a computational problem of paramount importance, particularly to plant and animal breeders. However, the number of genetic markers is typically orders of magnitude larger than the nu
Externí odkaz:
https://doaj.org/article/dfb111ba3d6245878befd4ab374e027e
Publikováno v:
BMC Genomics, Vol 21, Iss 1, Pp 1-16 (2020)
Abstract Background The narrow genetic base of elite germplasm compromises long-term genetic gain and increases the vulnerability to biotic and abiotic stresses in unpredictable environmental conditions. Therefore, an efficient strategy is required t
Externí odkaz:
https://doaj.org/article/a8a481b682a04a0b9a87acee1a53efe1
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 9, Iss 5, Pp 1469-1479 (2019)
Predicting the usefulness of crosses in terms of expected genetic gain and genetic diversity is of interest to secure performance in the progeny and to maintain long-term genetic gain in plant breeding. A wide range of crossing schemes are possible i
Externí odkaz:
https://doaj.org/article/14cefee15b374c78b0780883aaf32860
Publikováno v:
Frontiers in Genetics, Vol 10 (2019)
The implementation of genomic selection in recurrent breeding programs raises the concern that a higher inbreeding rate could compromise the long-term genetic gain. An optimized mating strategy that maximizes the performance in progeny and maintains
Externí odkaz:
https://doaj.org/article/47315b90e5144119a1378431236353ad