Genetic parameters and selection of sugarcane for borer resistance in the advanced selection stage

Abstract

This study aimed to investigate genetic parameters and selection strategies for sugarcane resistance to borer and determine the effects of selection for borer resistance on yield traits. The infestation index by borer (IIB) and yield traits were assessed over 3 years in 35 sugarcane clones planted in four locations in southeastern Brazil. There was no genotype × environment (year or location) interaction for borer resistance. Consequently, selection may be performed at only one location and year or by the mean of clones in several locations and/or years. The borer population affected the genotypic variance for borer resistance but when genotypic variance was significant, heritability was elevated and suitable genetic gain was achieved. Selection for borer resistance reduced the genetic gains for tons of cane per hectare, theoretical recoverable sugar, and tons of sugar per hectare; however, satisfactory selection gains for both borer resistance and yield were achieved using selection index.

Ratooning ability and its relationship among yield, quality and lesser sugarcane borer (Chilo agamemnon Bels.) in sugarcane germplasm

“…Fahmy et al (2017) showed that the sugarcane varieties differed significantly in their susceptibility to C. agamemnon infestation Mehareb et al, (2018) tested 47 varieties of sugarcane in Egypt against C. agamemnon and reported that, out of 47 varieties only 3 were found resistant and the remaining were moderately resistant. What's more, there is a requirement for more searches concerning selection for borer resistance, also, to yield qualities, since select just for borer resistance may bring about genotypes with ominous qualities and lower sugar yield (Tomaz et al, 2020).The objectives of this study were to estimate the ratooning ability for studied sugarcane genotypes, screening sugarcane genotypes for yield, quality and borer resistance, also estimates the relationship among agronomical and pathological traits based on principal components biplot analysis.…”