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Chilean Journal of Agricultural Research
Instituto de Investigaciones Agropecuarias, INIA
ISSN: 0718-5820
EISSN: 0718-5839
Vol. 72, No. 1, 2012, pp. 33-39
Bioline Code: cj12006
Full paper language: English
Document type: Research Article
Document available free of charge

Chilean Journal of Agricultural Research, Vol. 72, No. 1, 2012, pp. 33-39

Doná, Anderson Afonso; Miranda, Glauco Vieira; DeLima, Rodrigo Oliveira; Chaves, Luciana Gonçalves & e Gama, Elto Eugênio Gomes


The modified recurrent selection method suggests a less productive population to test the other population more productive and itself aiming to have more genetic gains than tradition recurrent selection method that uses one population to test the other one. The objectives of this work were to estimate the genetic components, to predict and to evaluate the genetic gains of the SynFlint and Syndent populations of maize ( Zea mays check for this species in other resources L.), applying a modified recurrent selection method. Two recombination cycles were carried out, with 144 S1 progeny per cycle. These progenies were test crossed with SynFlint, generating a SynFlint × Syndent inter-population and a SynFlint × SynFlint intra-population. The progenies were evaluated in five environments in the first cycle of selection and in three in the second cycle of selection, in a 12 × 12 lattice. Genetic variability in plant height and ear height, ear weight and prolificacy was observed in the first cycle of selection and in plant height and ear height in the second cycle. The intensity of selection practiced in the first cycle exhausted the genetic variability in ear weight and prolificacy. It can conclude that the two maize populations evaluated do not show adequate levels of genetic variability and predicted genetics gains estimates to allow their use in breeding programs to obtain lines and superior hybrids; and the modified recurrent selection method is inefficient to increase in population performance per se for the two populations.

Zea mays, breeding methods, genetic variability

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