Zobrazeno 1 - 10
of 47
pro vyhledávání: '"genomic-enabled prediction"'
Autor:
Osval A. Montesinos-López, Abelardo Montesinos-López, Kismiantini, Armando Roman-Gallardo, Keith Gardner, Morten Lillemo, Roberto Fritsche-Neto, José Crossa
Publikováno v:
Frontiers in Genetics, Vol 13 (2022)
In plant breeding, the need to improve the prediction of future seasons or new locations and/or environments, also denoted as “leave one environment out,” is of paramount importance to increase the genetic gain in breeding programs and contribute
Externí odkaz:
https://doaj.org/article/14d5e61bb48944c486d455d10e12d2f5
Publikováno v:
Crop Journal, Vol 8, Iss 5, Pp 713-722 (2020)
Genomic prediction (GP) has become a valuable tool for predicting the performance of selection candidates for the next breeding cycle. A vast majority of statistical linear models on which GP is based rely on the assumption of normality of the residu
Externí odkaz:
https://doaj.org/article/39bc71be87874d62a72ddb990f53d0d7
Autor:
Diego Jarquin, Reka Howard, Jose Crossa, Yoseph Beyene, Manje Gowda, Johannes W. R. Martini, Giovanny Covarrubias Pazaran, Juan Burgueño, Angela Pacheco, Martin Grondona, Valentin Wimmer, Boddupalli M. Prasanna
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 10, Iss 8, Pp 2725-2739 (2020)
“Sparse testing” refers to reduced multi-environment breeding trials in which not all genotypes of interest are grown in each environment. Using genomic-enabled prediction and a model embracing genotype × environment interaction (GE), the non-ob
Externí odkaz:
https://doaj.org/article/6021aeb04ef64db39adeebff4f7d532f
Autor:
Jaime Cuevas, Osval A. Montesinos-López, J. W. R. Martini, Paulino Pérez-Rodríguez, Morten Lillemo, Jose Crossa
Publikováno v:
Frontiers in Genetics, Vol 11 (2020)
The rapid development of molecular markers and sequencing technologies has made it possible to use genomic prediction (GP) and selection (GS) in animal and plant breeding. However, when the number of observations (n) is large (thousands or millions),
Externí odkaz:
https://doaj.org/article/edb4ccaffea243ea859c8aa3bdee4d7c
Autor:
Osval A. Montesinos-López, Abelardo Montesinos-López, José Crossa, Fernando H. Toledo, José C. Montesinos-López, Pawan Singh, Philomin Juliana, Josafhat Salinas-Ruiz
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 7, Iss 5, Pp 1595-1606 (2017)
When a plant scientist wishes to make genomic-enabled predictions of multiple traits measured in multiple individuals in multiple environments, the most common strategy for performing the analysis is to use a single trait at a time taking into accoun
Externí odkaz:
https://doaj.org/article/f3e15971bd0145f0b82d3fb668002cac
Autor:
Tiago Vieira Sousa, Eveline Teixeira Caixeta, Emilly Ruas Alkimim, Antonio Carlos Baião Oliveira, Antonio Alves Pereira, Ney Sussumu Sakiyama, Laércio Zambolim, Marcos Deon Vilela Resende
Publikováno v:
Frontiers in Plant Science, Vol 9 (2019)
Genomic Selection (GS) has allowed the maximization of genetic gains per unit time in several annual and perennial plant species. However, no GS studies have addressed Coffea arabica, the most economically important species of the genus Coffea. There
Externí odkaz:
https://doaj.org/article/5f32fd5afaf34c3188882b77d0284e63
Autor:
Reka Howard, José Crossa, Valentin Wimmer, Giovanny Covarrubias Pazaran, Diego Jarquin, Juan Burgueño, Yoseph Beyene, Johannes W. R. Martini, Manje Gowda, Martin Grondona, Boddupalli M. Prasanna, Ángela Pacheco
Publikováno v:
G3: Genes|Genomes|Genetics
G3: Genes, Genomes, Genetics, Vol 10, Iss 8, Pp 2725-2739 (2020)
G3: Genes, Genomes, Genetics, Vol 10, Iss 8, Pp 2725-2739 (2020)
“Sparse testing” refers to reduced multi-environment breeding trials in which not all genotypes of interest are grown in each environment. Using genomic-enabled prediction and a model embracing genotype × environment interaction (GE), the non-ob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6175ea5c7fac66f681a7bd3f1c6f7b12
http://europepmc.org/articles/PMC7407457
http://europepmc.org/articles/PMC7407457
Akademický článek
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K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Ney Sussumu Sakiyama, Tiago Vieira Sousa, Emilly Ruas Alkimim, Laércio Zambolim, Marcos Deon Vilela de Resende, Antônio Alves Pereira, Antonio Carlos Baiao Oliveira, Eveline Teixeira Caixeta
Publikováno v:
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
Frontiers in Plant Science, Vol 9 (2019)
LOCUS Repositório Institucional da UFV
Universidade Federal de Viçosa (UFV)
instacron:UFV
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
Frontiers in Plant Science, Vol 9 (2019)
LOCUS Repositório Institucional da UFV
Universidade Federal de Viçosa (UFV)
instacron:UFV
Genomic Selection (GS) has allowed the maximization of genetic gains per unit time in several annual and perennial plant species. However, no GS studies have addressed Coffea arabica, the most economically important species of the genus Coffea. There
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1029dee03d843a9d244391af8a7964ca
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1106798
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1106798
