Association between the morphological and productive characteristics in the selection of elephant grass clones

Revista Brasileira de Zootecnia

Márcio Vieira Da Cunha²  Mario De Andrade Lira²  Mércia Virginia Ferreira Dos Santos¹  Erinaldo Viana De Freitas²  José Carlos Batista Dubeux Junior¹  Alexandre Carneiro Leão De Mello¹  Kalina Gerciane Rodovalho Martins¹ 

[1] ,Instituto Agronômico de Pernambuco

关键词: canonic correlation;    dry matter content;    dry matter production;    millet;    path analysis;    Pennisetum sp;    análise de trilha;    correlação canônica;    milheto;    Pennisetum sp.;    produção de MS;    teor de MS;   

DOI  :  10.1590/S1516-35982011000300004

来源: SciELO

【 摘 要 】

The objectives in this work were to study the association between the morphological and productive characteristics in Pennisetum sp. clones, and to identify the morphological characteristics responsible for the productivity in Pennisetum cp. clones. The canonical correlations were evaluated and the path analysis was made from the simple genotypic correlation matrix between the morphological and productive characteristics of eight Pennisetum sp. clones (Taiwan A-146 2.37, Taiwan A-146 2.27, Taiwan-146 2.114, Merker México MX 6.31, Mott, HV-241, Elefante B and IRI-381). The canonical correlations were significant at 1% probability by the Chi-square test. The first pair of canonic factors, with correlation of 0.9999, related the plants with the highest dry matter content to plants with lower leaf area indexes, light perception and leaf angle. The second pair of canonic factors, with correlation of 0.9999, related the plants with the highest dry matter production to the plants with higher basal tiller density, height, and low green leaf number per tiller. The results of the path analysis indicated that the light interception is determinant in dry matter content expression of Pennisetum sp. clones, while the basal tiller density and plant height are responsible for dry matter production in these clones.

【 授权许可】

CC BY   
 All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License