Zobrazeno 1 - 10
of 1 411
pro vyhledávání: '"R, Martini"'
Autor:
Susanne Dreisigacker, Johannes W. R. Martini, Jaime Cuevas, Paulino Pérez‐Rodríguez, Nerida Lozano‐Ramírez, Julio Huerta, Pawan Singh, Leonardo Crespo‐Herrera, Alison R. Bentley, Jose Crossa
Publikováno v:
The Plant Genome, Vol 17, Iss 2, Pp n/a-n/a (2024)
Abstract Bread wheat (Triticum aestivum L.) is a globally important food crop, which was domesticated about 8–10,000 years ago. Bread wheat is an allopolyploid, and it evolved from two hybridization events of three species. To widen the genetic bas
Externí odkaz:
https://doaj.org/article/1863afbefc9b45ac95973a1b7b562768
Autor:
Yasmin N. Aziz, Heidi Sucharew, Robert J. Stanton, Kathleen Alwell, Simona Ferioli, Pooja Khatri, Opeolu Adeoye, Matthew L. Flaherty, Jason Mackey, Felipe De Los Rios La Rosa, Sharyl R. Martini, Eva A. Mistry, Elisheva Coleman, Adam S. Jasne, Sabreena J. Slavin, Kyle Walsh, Michael Star, Mohamed Ridha, Laura M. C. Ades, Mary Haverbusch, Stacie L. Demel, Daniel Woo, Brett M. Kissela, Dawn O. Kleindorfer
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 13, Iss 9 (2024)
Background Hypertension is a stroke risk factor with known disparities in prevalence and management between Black and White patients. We sought to identify if racial differences in presenting blood pressure (BP) during acute ischemic stroke exist. Me
Externí odkaz:
https://doaj.org/article/7724a8ade667415a9b6a7aea1b9de6c5
Autor:
Yosio E. Shimabukuro, Egidio Arai, Gabriel M. da Silva, Tânia B. Hoffmann, Valdete Duarte, Paulo R. Martini, Andeise Cerqueira Dutra, Guilherme Mataveli, Henrique L. G. Cassol, Marcos Adami
Publikováno v:
Forests, Vol 14, Iss 8, p 1669 (2023)
This work aims to develop a new method to map Land Use and Land Cover (LULC) classes in the São Paulo State, Brazil, using Landsat-8 Operational Land Imager (OLI) data. The novelty of the proposed method consists of selecting the images based on the
Externí odkaz:
https://doaj.org/article/8fc075b309a744629cfd64ed11aa1918
Autor:
Osval Antonio Montesinos-López, Abelardo Montesinos-López, Paulino Pérez-Rodríguez, José Alberto Barrón-López, Johannes W. R. Martini, Silvia Berenice Fajardo-Flores, Laura S. Gaytan-Lugo, Pedro C. Santana-Mancilla, José Crossa
Publikováno v:
BMC Genomics, Vol 22, Iss 1, Pp 1-23 (2021)
Abstract Background Several conventional genomic Bayesian (or no Bayesian) prediction methods have been proposed including the standard additive genetic effect model for which the variance components are estimated with mixed model equations. In recen
Externí odkaz:
https://doaj.org/article/23d67aa0f0254e0aa7e8d030e1660d6b
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Externí odkaz:
https://doaj.org/article/332bcd0b5d834a4ba51c2019dda24354
Autor:
Matías F. Schrauf, Johannes W. R. Martini, Henner Simianer, Gustavo de los Campos, Rodolfo Cantet, Jan Freudenthal, Arthur Korte, Sebastián Munilla
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 10, Iss 9, Pp 3137-3145 (2020)
Genomic selection uses whole-genome marker models to predict phenotypes or genetic values for complex traits. Some of these models fit interaction terms between markers, and are therefore called epistatic. The biological interpretation of the corresp
Externí odkaz:
https://doaj.org/article/5d4b25e7ad7540718bbbe05667f2bba6
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:
Mahmood Gholami, Valentin Wimmer, Carolina Sansaloni, Cesar Petroli, Sarah J. Hearne, Giovanny Covarrubias-Pazaran, Stefan Rensing, Johannes Heise, Paulino Pérez-Rodríguez, Susanne Dreisigacker, José Crossa, Johannes W. R. Martini
Publikováno v:
Frontiers in Plant Science, Vol 12 (2021)
Externí odkaz:
https://doaj.org/article/0f7d18f7ec744f108721294c9e0ec7e6
Autor:
Yosio E. Shimabukuro, Egidio Arai, Gabriel M. da Silva, Andeise C. Dutra, Guilherme Mataveli, Valdete Duarte, Paulo R. Martini, Henrique L. G. Cassol, Danilo S. Ferreira, Luís R. Junqueira
Publikováno v:
Forests, Vol 13, Iss 10, p 1716 (2022)
This article presents a method, based on orbital remote sensing, to map the extent of forest plantations in São Paulo State (Southeast Brazil). The proposed method uses the random forest machine learning algorithm available on the Google Earth Engin
Externí odkaz:
https://doaj.org/article/9b3b8df21e7149bd91effe68d1ca97e0
Publikováno v:
Frontiers in Plant Science, Vol 12 (2021)
Externí odkaz:
https://doaj.org/article/d5e0266d7c1b40e9868b28b5dd235bd2