Diallel analyze of yield and progress of the severity of leaf diseases in maize hybrids in two population density

Marcos Ventura Faria, Marcelo Cruz Mendes, Evandrei Santos Rossi, Omar Possatto Junior, Diego Ary Rizzardi, Eliza Gralak, Carlos Augusto Silva, Cacilda Márcia Duarte Rios Faria

Abstract


Seven commercial maize hybrids (AS1575, 2B688, Penta, GNZ2004, AG8021, Sprint e P30F53) were intercrossed in a complete diallel, excluded reciprocal, obtaining 21 crosses. The 28 treatments were evaluated in two environments characterized by different densities (62,500 and 90,000 plants ha-1), with the aim of selecting the most promising parents for generating base population to obtain lines. Two experiments were carried out in Guarapuava-PR, at randomized block design with three replications. We estimated the general (GCA) and specific (SCA) combining abilities for yield and disease severity assessed by the area under the common rust (Puccinia sorghi) progress curve (AURPC) and the area under the leaf spot (Cercospora zeae-maydis) progress curve (AULPC). The effects of GCA and SCA were significant for grain yield and diseases severity in both densities, revealing the importance of both additive and non-additive effects. There GCA x densities interaction was significant only for grain yield. Crossings P30F53 x AG8021 and P30F53 x Penta had negative estimates of SCA for AURPC and AULPC on the environments average. Hybrids GNZ 2004 and P30F53 stood out showing positive GCA for grain yield and negative for AURPC and AULPC in both densities and therefore are recommended for generating base populations for obtaining lines adapted for both densities, conventional and denser plantings, given the current trends in management of maize.


Keywords


Combining ability; Cercospora zeae-maydis; Puccinia sorghi; Zea mays.



DOI: http://dx.doi.org/10.5433/1679-0359.2015v36n1p123

Semina: Ciênc. Agrár.
Londrina - PR
E-ISSN 1679-0359
DOI: 10.5433 / 1679-0359
E-mail:  semina.agrarias@uel.br
Este obra está licenciado com uma Licença  Creative Commons Atribuição-NãoComercial 4.0 Internacional