Breeding full-sib families of sugar cane using selection index

• Autor(a) principal: Almeida,Livia Marcon
• Data de Publicação: 2014
• Outros Autores: Viana,Alexandre Pio, Amaral Júnior,Antônio Teixeira do, Carneiro Júnior,Josil de Barros
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Ciência Rural
• Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782014000400005
• topic: sugar cane; family selection; selection index

An experiment with families belonging to the first selection stage (T1) of the Sugar Cane Breeding Program (PMGCA) of the Universidade Federal Rural do Rio de Janeiro (UFRRJ)/RIDESA was carried out in the Plant Disa, located in the municipality of Conceição da Barra-ES, in 2006, aiming to evaluate families, for the selection of superior plants for the later stages of the breeding program of the culture. Sixty-eight full-sib families and three genotypes considered standards with potential recommendation for the area under study were evaluated. The experiment was arranged in a statistical randomized block design, in which the families were grouped into four sets. Each set had four replicates and one hundred seedlings per plot, with spacing of 0.5 meters between plants and 1.40 between rows. The evaluations were conducted during two growing seasons, corresponding to the first and second ratoon, 2008 and 2009, respectively. The traits stem diameter (DMC), total weight of the plot (P), number of stems (NC) Brix of the lower stem (Brix PE) and Brix of the upper stem (Brix PT) were assessed. All traits were significant for the genotypes, by the F test (P<0.01), in joint analyses of environments, which reveals significant differences between families. The values found in this study for the genetic variation coefficient (CVg) indicate great potential for success in breeding programs targeting at the selection of the traits evaluated. The highest gains were achieved when the indices of Smith and Hazel and Mulamba and Mock were used, which allowed simultaneous superior gains in all traits for the best families.