Zobrazeno 1 - 10
of 279
pro vyhledávání: '"Roberto Fritsche-Neto"'
Autor:
Osval A. Montesinos-López, Leonardo Crespo-Herrera, Carolina Saint Pierre, Bernabe Cano-Paez, Gloria Isabel Huerta-Prado, Brandon Alejandro Mosqueda-González, Sofia Ramos-Pulido, Guillermo Gerard, Khalid Alnowibet, Roberto Fritsche-Neto, Abelardo Montesinos-López, José Crossa
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
IntroductionBecause Genomic selection (GS) is a predictive methodology, it needs to guarantee high-prediction accuracies for practical implementations. However, since many factors affect the prediction performance of this methodology, its practical i
Externí odkaz:
https://doaj.org/article/bc352c418ea44b3aa88d1cf294b125fa
Autor:
Gabriela Romêro Campos, Melina Prado, Karina Lima Reis Borges, Rafael Massahiro Yassue, Felipe Sabadin, Allison Vieira da Silva, Caio Morais de Alcântara Barbosa, Marcel Bellato Sposito, Lilian Amorim, Roberto Fritsche-Neto
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Raspberries (Rubus spp) are temperate climate fruits with profitable high returns and have the potential for diversification of fruit growing in mid to low-latitude regions. However, there are still no cultivars adapted to climatic condition
Externí odkaz:
https://doaj.org/article/44f5c70329174275b8fc6aa2b4e49adf
Autor:
Raysa Gevartosky, Humberto Fanelli Carvalho, Germano Costa-Neto, Osval A. Montesinos-López, José Crossa, Roberto Fritsche-Neto
Publikováno v:
BMC Plant Biology, Vol 23, Iss 1, Pp 1-20 (2023)
Abstract Background Success in any genomic prediction platform is directly dependent on establishing a representative training set. This is a complex task, even in single-trait single-environment conditions and tends to be even more intricated wherei
Externí odkaz:
https://doaj.org/article/6dfd15457dc04f7aa0f1ee3df303f92a
Autor:
Osval A. Montesinos-López, Mario Alberto Solis-Camacho, Leonardo Crespo-Herrera, Carolina Saint Pierre, Gloria Isabel Huerta Prado, Sofia Ramos-Pulido, Khalid Al-Nowibet, Roberto Fritsche-Neto, Guillermo Gerard, Abelardo Montesinos-López, José Crossa
Publikováno v:
Genes, Vol 15, Iss 3, p 286 (2024)
Genomic selection (GS) is revolutionizing plant breeding. However, its practical implementation is still challenging, since there are many factors that affect its accuracy. For this reason, this research explores data augmentation with the goal of im
Externí odkaz:
https://doaj.org/article/2274da15ecfa4c92bbea7ad8059f1033
Autor:
Alexandre Hild Aono, Felipe Roberto Francisco, Livia Moura Souza, Paulo de Souza Gonçalves, Erivaldo J. Scaloppi Junior, Vincent Le Guen, Roberto Fritsche-Neto, Gregor Gorjanc, Marcos Gonçalves Quiles, Anete Pereira de Souza
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-14 (2022)
Abstract Rubber tree (Hevea brasiliensis) is the main feedstock for commercial rubber; however, its long vegetative cycle has hindered the development of more productive varieties via breeding programs. With the availability of H. brasiliensis genomi
Externí odkaz:
https://doaj.org/article/e7374ff54eba4cbbac8fecd9632f17a7
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
The advances in genomics in recent years have increased the accuracy and efficiency of breeding programs for many crops. Nevertheless, the adoption of genomic enhancement for several other crops essential in developing countries is still limited, esp
Externí odkaz:
https://doaj.org/article/39706cfb9ac64f54b34ed383270de85f
Autor:
Rafael Massahiro Yassue, Giovanni Galli, Chun‐Peng James Chen, Roberto Fritsche‐Neto, Gota Morota
Publikováno v:
Plant Direct, Vol 7, Iss 4, Pp n/a-n/a (2023)
Abstract Plant growth‐promoting bacteria (PGPB) may be of use for increasing crop yield and plant resilience to biotic and abiotic stressors. Using hyperspectral reflectance data to assess growth‐related traits may shed light on the underlying ge
Externí odkaz:
https://doaj.org/article/f370023b2a894d9bbb79a3ba1e9b348a
Autor:
Apurva Khanna, Mahender Anumalla, Margaret Catolos, Jérôme Bartholomé, Roberto Fritsche-Neto, John Damien Platten, Daniel Joseph Pisano, Alaine Gulles, Ma Teresa Sta. Cruz, Joie Ramos, Gem Faustino, Sankalp Bhosale, Waseem Hussain
Publikováno v:
Rice, Vol 15, Iss 1, Pp 1-14 (2022)
Abstract Estimating genetic trends using historical data is an important parameter to check the success of the breeding programs. The estimated genetic trends can act as a guideline to target the appropriate breeding strategies and optimize the breed
Externí odkaz:
https://doaj.org/article/6d5ec5955f8f4f2ab80cb9a27ffa3220
Autor:
Germano Costa-Neto, Leonardo Crespo-Herrera, Nick Fradgley, Keith Gardner, Alison R Bentley, Susanne Dreisigacker, Roberto Fritsche-Neto, Osval A Montesinos-López, Jose Crossa
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 13, Iss 2 (2022)
AbstractLinking high-throughput environmental data (enviromics) to genomic prediction (GP) is a cost-effective strategy for increasing selection intensity under genotype-by-environment interactions (G × E). This study developed a data-driven approac
Externí odkaz:
https://doaj.org/article/6cfa0cdf104a48f293f1080807e5d35d
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Long-term breeding schemes using genomic selection (GS) can boost the response to selection per year. Although several studies have shown that GS delivers a higher response to selection, only a few analyze which stage GS produces better results and h
Externí odkaz:
https://doaj.org/article/bdcc4debcf774743ae87141117e639fb