Výsledky vyhledávání - "Karina Zamprogno Ferreira"

Akademický článek

Evaluating the accuracy of genomic prediction of growth and wood traits in two Eucalyptus species and their F1 hybrids

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

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Growth and canopy traits affected by myrtle rust ( Austropuccinia psidii Winter) in Eucalyptus grandis x Eucalyptus urophylla

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

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Author response for 'Growth and canopy traits affected by myrtle rust ( Austropuccinia psidii Winter) in Eucalyptus grandis x Eucalyptus urophylla'

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

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Evaluating the accuracy of genomic prediction of growth and wood traits in two Eucalyptus species and their F-1 hybrids

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

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

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