Genomic prediction in multi-environment trials in maize using statistical and machine learning methods

Autor: Cynthia Aparecida Valiati Barreto, Kaio Olimpio das Graças Dias, Ithalo Coelho de Sousa, Camila Ferreira Azevedo, Ana Carolina Campana Nascimento, Lauro José Moreira Guimarães, Claudia Teixeira Guimarães, Maria Marta Pastina, Moysés Nascimento

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)

Abstract In the context of multi-environment trials (MET), genomic prediction is proposed as a tool that allows the prediction of the phenotype of single cross hybrids that were not tested in field trials. This approach saves time and costs compared

Externí odkaz: https://doaj.org/article/b05000b48aa84914959ee08ecdb3525a

Hitos tecnológicos que cambiaron el rol de Brasil en la producción de maíz: 30 años de crecimiento para convertirse en importante actor del escenario mundial, una revisión

Autor: Lauro José Moreira Guimarães, Frederico Ozanan Machado Durães, Maria Marta Pastina, Roberto Willians Noda, Sidney Netto Parentoni, Paulo Evaristo Oliveira Guimarães, Roberto dos Santos Trindade, José Luis Zambrano

Publikováno v: ACI Avances en Ciencias e Ingenierías, Vol 14, Iss 1 (2022)

En los últimos 30 años (cosechas agrícolas de 1991/92 a 2021/2022), el maíz ha vivido una verdadera revolución en Brasil. Actualmente, el país se ha consolidado como el tercer productor y segundo exportador de este cereal, con una producción d

Externí odkaz: https://doaj.org/article/0b53833a9f754e069176035bbb942595

The genetic architecture of phosphorus efficiency in sorghum involves pleiotropic QTL for root morphology and grain yield under low phosphorus availability in the soil

Autor: Karine C. Bernardino, Maria Marta Pastina, Cícero B. Menezes, Sylvia M. de Sousa, Laiane S. Maciel, Geraldo Carvalho Jr, Claudia T. Guimarães, Beatriz A. Barros, Luciano da Costa e Silva, Pedro C. S. Carneiro, Robert E. Schaffert, Leon V. Kochian, Jurandir V. Magalhaes

Publikováno v: BMC Plant Biology, Vol 19, Iss 1, Pp 1-15 (2019)

Abstract Background Phosphorus (P) fixation on aluminum (Al) and iron (Fe) oxides in soil clays restricts P availability for crops cultivated on highly weathered tropical soils, which are common in developing countries. Hence, P deficiency becomes a

Externí odkaz: https://doaj.org/article/c9263abe12194c87bafd4c0c5a5e0f41

A genome-wide association study identified loci for yield component traits in sugarcane (Saccharum spp.).

Autor: Fernanda Zatti Barreto, João Ricardo Bachega Feijó Rosa, Thiago Willian Almeida Balsalobre, Maria Marta Pastina, Renato Rodrigues Silva, Hermann Paulo Hoffmann, Anete Pereira de Souza, Antonio Augusto Franco Garcia, Monalisa Sampaio Carneiro

Publikováno v: PLoS ONE, Vol 14, Iss 7, p e0219843 (2019)

Sugarcane (Saccharum spp.) has a complex genome with variable ploidy and frequent aneuploidy, which hampers the understanding of phenotype and genotype relations. Despite this complexity, genome-wide association studies (GWAS) may be used to identify

Externí odkaz: https://doaj.org/article/6d999316604d4da5b6e0e4b24f9a974b

Boosting predictive ability of tropical maize hybrids via genotype‐by‐environment interaction under multivariate GBLUP models

Autor: Antonio Augusto Franco Garcia, Matheus Dalsente Krause, Kaio Olímpio das Graças Dias, Maria Marta Pastina, Gabriel Rodrigues Alves Margarido, Jhonathan P. R. dos Santos, Lauro José Moreira Guimarães, Amanda Avelar de Oliveira

Publikováno v: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice)
Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP

Genomic selection has been implemented in several plant and animal breeding programs and it has proven to improve efficiency and maximize genetic gains. Phenotypic data of grain yield was measured in 147 maize (Zea mays L.) singlecross hybrids at 12

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48306680b2b835419a592d9244b67ec0
https://doi.org/10.1002/csc2.20253