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Modeling copy number variation in the genomic prediction of maize hybrids.
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
Maize responsiveness to Azospirillum brasilense: Insights into genetic control, heterosis and genomic prediction.
Vidotti MS, Matias FI, Alves FC, Pérez-Rodríguez P, Beltran GA, Burgueño J, Crossa J, Fritsche-Neto R.
Vidotti MS, et al.
PLoS One. 2019 Jun 7;14(6):e0217571. doi: 10.1371/journal.pone.0217571. eCollection 2019.
PLoS One. 2019.
PMID: 31173600
Free PMC article.
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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.
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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. Among authors: vidotti ms.
PLoS One. 2019 Nov 11;14(11):e0224631. doi: 10.1371/journal.pone.0224631. eCollection 2019.
PLoS One. 2019.
PMID: 31710611
Free PMC article.
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