Fritsche-Neto R - Search Results

1

Relative importance of gene effects for nitrogen-use efficiency in popcorn.

Santos AD, Amaral Júnior ATD, Fritsche-Neto R, Kamphorst SH, Ferreira FRA, Amaral JFTD, Vivas JMS, Santos PHAD, Lima VJ, Khan S, Schmitt KFM, Leite JT, Junior DRDS, Bispo RB, Santos TO, Oliveira UA, Guimarães LJM, Rodriguez O. Santos AD, et al. PLoS One. 2019 Sep 26;14(9):e0222726. doi: 10.1371/journal.pone.0222726. eCollection 2019. PLoS One. 2019. PMID: 31557221 Free PMC article.

2

Additive and heterozygous (dis)advantage GWAS models reveal candidate genes involved in the genotypic variation of maize hybrids to Azospirillum brasilense.

Vidotti MS, Lyra DH, Morosini JS, Granato ÍSC, Quecine MC, Azevedo JL, Fritsche-Neto R. Vidotti MS, et al. PLoS One. 2019 Sep 19;14(9):e0222788. doi: 10.1371/journal.pone.0222788. eCollection 2019. PLoS One. 2019. PMID: 31536609 Free PMC article.

3

On the usefulness of parental lines GWAS for predicting low heritability traits in tropical maize hybrids.

Galli G, Alves FC, Morosini JS, Fritsche-Neto R. Galli G, et al. PLoS One. 2020 Feb 7;15(2):e0228724. doi: 10.1371/journal.pone.0228724. eCollection 2020. PLoS One. 2020. PMID: 32032385 Free PMC article.

4

Population structure analysis and identification of genomic regions under selection associated with low-nitrogen tolerance in tropical maize lines.

Sant'Ana GC, Espolador FG, Granato ÍSC, Mendonça LF, Fritsche-Neto R, Borém A. Sant'Ana GC, et al. PLoS One. 2020 Sep 29;15(9):e0239900. doi: 10.1371/journal.pone.0239900. eCollection 2020. PLoS One. 2020. PMID: 32991596 Free PMC article.

5

Genetic Vulnerability and the Relationship of Commercial Germplasms of Maize in Brazil with the Nested Association Mapping Parents.

Andrade LR, Fritsche Neto R, Granato ÍS, Sant'Ana GC, Morais PP, Borém A. Andrade LR, et al. PLoS One. 2016 Oct 25;11(10):e0163739. doi: 10.1371/journal.pone.0163739. eCollection 2016. PLoS One. 2016. PMID: 27780247 Free PMC article.

6

Effects of using phenotypic means and genotypic values in GGE biplot analyses on genotype by environment studies on tropical maize (Zea mays).

Granato IS, Fritsche-Neto R, Resende MD, Silva FF. Granato IS, et al. Genet Mol Res. 2016 Oct 5;15(4). doi: 10.4238/gmr.15048747. Genet Mol Res. 2016. PMID: 27808373 Free article.

7

Accuracy of genomic selection to predict maize single-crosses obtained through different mating designs.

Fritsche-Neto R, Akdemir D, Jannink JL. Fritsche-Neto R, et al. Theor Appl Genet. 2018 May;131(5):1153-1162. doi: 10.1007/s00122-018-3068-8. Epub 2018 Feb 14. Theor Appl Genet. 2018. PMID: 29445844

8

Modeling copy number variation in the genomic prediction of maize hybrids.

Lyra DH, Galli G, Alves FC, Granato ÍSC, Vidotti MS, Bandeira E Sousa M, Morosini JS, Crossa J, Fritsche-Neto R. Lyra DH, et al. Theor Appl Genet. 2019 Jan;132(1):273-288. doi: 10.1007/s00122-018-3215-2. Epub 2018 Oct 31. Theor Appl Genet. 2019. PMID: 30382311

9

Effect of F1 and F2 generations on genetic variability and working steps of doubled haploid production in maize.

Couto EGO, Cury MN, Bandeira E Souza M, Granato ÍSC, Vidotti MS, Domingos Garbuglio D, Crossa J, Burgueño J, Fritsche-Neto R. Couto EGO, et al. PLoS One. 2019 Nov 11;14(11):e0224631. doi: 10.1371/journal.pone.0224631. eCollection 2019. PLoS One. 2019. PMID: 31710611 Free PMC article.

10

Genomic-Enabled Prediction in Maize Using Kernel Models with Genotype × Environment Interaction.

Bandeira E Sousa M, Cuevas J, de Oliveira Couto EG, Pérez-Rodríguez P, Jarquín D, Fritsche-Neto R, Burgueño J, Crossa J. Bandeira E Sousa M, et al. G3 (Bethesda). 2017 Jun 7;7(6):1995-2014. doi: 10.1534/g3.117.042341. G3 (Bethesda). 2017. PMID: 28455415 Free PMC article.

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