Literature DB >> 26400335

Indirect selection for resistance to ear rot and leaf diseases in maize lines using biplots.

G S Pereira1, R B Camargos2, M Balestre3, R G Von Pinho2, W M C Melo4.   

Abstract

Leaf disease and ear rot have caused reductions in maize yield in Brazil and other producer countries. Therefore, the aims of this study were to analyze the association between husked ear yield and the severity of maize white spot, gray leaf spot, helminthosporium, and ear rot caused by Fusarium verticillioides and Diplodia maydis using biplots in a mixed-model approach. The responses of 238 lines introduced to Brazil and four controls were evaluated using an incomplete block design with three replicates in two locations: Lavras and Uberlândia, Minas Gerais, Brazil. Two experiments were conducted in each location, one with F. verticillioides and the other with D. maydis. The mixed models elucidated the relationship between yield, leaf disease, and ear disease. Significant genotype x environment and genotype x pathogen interactions were observed. In conclusion, husked ear yield is more associated with ear rot than with the leaf diseases evaluated, justifying the indirect selection for resistance to kernel rot in maize-F. verticillioides and maize-D. maydis pathosystems by yield evaluation.

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Year:  2015        PMID: 26400335     DOI: 10.4238/2015.September.21.18

Source DB:  PubMed          Journal:  Genet Mol Res        ISSN: 1676-5680


  2 in total

1.  Introgression of Maize Lethal Necrosis Resistance Quantitative Trait Loci Into Susceptible Maize Populations and Validation of the Resistance Under Field Conditions in Naivasha, Kenya.

Authors:  Luka A O Awata; Beatrice E Ifie; Eric Danquah; MacDonald Bright Jumbo; L Mahabaleswara Suresh; Manje Gowda; Philip W Marchelo-Dragga; Michael Scott Olsen; Oluwaseyi Shorinola; Nasser Kouadio Yao; Prasanna M Boddupalli; Pangirayi B Tongoona
Journal:  Front Plant Sci       Date:  2021-05-03       Impact factor: 5.753

2.  Genomic selection to resistance to Stenocarpella maydis in maize lines using DArTseq markers.

Authors:  Jhonathan Pedroso Rigal Dos Santos; Luiz Paulo Miranda Pires; Renato Coelho de Castro Vasconcellos; Gabriela Santos Pereira; Renzo Garcia Von Pinho; Marcio Balestre
Journal:  BMC Genet       Date:  2016-06-18       Impact factor: 2.797

  2 in total

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