Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Karina Zamprogno Ferreira"'
Autor:
Biyue Tan, Dario Grattapaglia, Gustavo Salgado Martins, Karina Zamprogno Ferreira, Björn Sundberg, Pär K. Ingvarsson
Publikováno v:
BMC Plant Biology, Vol 17, Iss 1, Pp 1-15 (2017)
Abstract Background Genomic prediction is a genomics assisted breeding methodology that can increase genetic gains by accelerating the breeding cycle and potentially improving the accuracy of breeding values. In this study, we use 41,304 informative
Externí odkaz:
https://doaj.org/article/6c49b6d385834428968910ff697f2380
Autor:
Rodrigo Hakamada, Renato Meulman Leite da Silva, Gabriela Gonçalves Moreira, José Da Silva Teixeira, Simone Takahashi, Marcus Vinicius Masson, Karina Zamprogno Ferreira, Pietro Gragnolati Fernandes, Sarah Diniz Silva Martins
Publikováno v:
Forest Pathology. 52
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::814ce9d84a5b1c1ba88072231ecc1d4d
https://doi.org/10.1111/efp.12736
https://doi.org/10.1111/efp.12736
Autor:
null Rodrigo Hakamada, null Renato Meulman Leite Silva, null Gabriela Gonçalves Moreira, null José Da Silva Teixeira, null Simone Takahashi, null Marcus Vinicius Masson, null Karina Zamprogno Ferreira, null Pietro Gragnolati Fernandes, null Sarah Diniz Silva Martins
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::745d2f480fcd56a06a4e338a9d70a7d8
https://doi.org/10.1111/efp.12736/v5/response1
https://doi.org/10.1111/efp.12736/v5/response1
Autor:
Gustavo Salgado Martins, Pär K. Ingvarsson, Karina Zamprogno Ferreira, Björn Sundberg, Biyue Tan, Dario Grattapaglia
Publikováno v:
BMC Plant Biology, Vol 17, Iss 1, Pp 1-15 (2017)
BMC Plant Biology
BMC Plant Biology
BackgroundGenomic prediction is a genomics assisted breeding methodology that can increase genetic gains by accelerating the breeding cycle and potentially improving the accuracy of breeding values. In this study, we used 41,304 informative SNPs geno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31b9e92d4b89e6ef57d5d3f93a1bb7f1
http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-138559
http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-138559
Autor:
Hakamada, Rodrigo, da Silva, Renato Meulman Leite, Moreira, Gabriela Gonçalves, Teixeira, José Da Silva, Takahashi, Simone, Masson, Marcus Vinicius, Ferreira, Karina Zamprogno, Fernandes, Pietro Gragnolati, Martins, Sarah Diniz Silva
Publikováno v:
Forest Pathology; Jun2022, Vol. 52 Issue 3, p1-9, 9p