2017
DOI: 10.1590/1984-70332017v17n1a7
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Combining ability of sugarcane genotypes based on the selection rates of single cross families

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Cited by 8 publications
(11 citation statements)
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“…In sugarcane (Saccharum spp. ), research on combining ability was conducted in Australia (Hogarth, Wu, & Heinz, 1981), Brazil (Bressiani, Burnquist, Fuzatto, Bonato, & Geraldi, 2002;Carvalho, Gezan, Peternelli, & Barbosa, 2014; Santana, Reis, & Chaves, 2017;Silva, Landell, Goncalves, Bressiani, & Campana, 2002), India (Alarmelu, Hemaprabha, Nagarajan, & Shanthi, 2010;Durai & Hemaprabha, 2016), and the United States (Miller, 1977;Wu, Heinz, Meyer, & Ladd, 1980). Sugarcane breeding has always directly exploited additive genetic effects associated with GCA during parent selection and crossing (Wei et al, 2017).…”
Section: Crop Sciencementioning
confidence: 99%
“…In sugarcane (Saccharum spp. ), research on combining ability was conducted in Australia (Hogarth, Wu, & Heinz, 1981), Brazil (Bressiani, Burnquist, Fuzatto, Bonato, & Geraldi, 2002;Carvalho, Gezan, Peternelli, & Barbosa, 2014; Santana, Reis, & Chaves, 2017;Silva, Landell, Goncalves, Bressiani, & Campana, 2002), India (Alarmelu, Hemaprabha, Nagarajan, & Shanthi, 2010;Durai & Hemaprabha, 2016), and the United States (Miller, 1977;Wu, Heinz, Meyer, & Ladd, 1980). Sugarcane breeding has always directly exploited additive genetic effects associated with GCA during parent selection and crossing (Wei et al, 2017).…”
Section: Crop Sciencementioning
confidence: 99%
“…A high estimate of SCA indicates that the parents present in a cross combination have good allelic complementarity (Santana, Reis, & Chaves, 2017), especially because they present divergence or because they do not show high kinship. Additionally, SCA estimates could be considered as measures of the distance between parents, that is, the SCA matrix represents the distance matrix between parents.…”
Section: Proposal To Obtain Heterotic Groupsmentioning
confidence: 99%
“…This was the first effort to identify heterotic groups in sugarcane and thus make it possible to more effectively explore the nonadditive and additive effects involved in the expression of traits of importance to the crop (Figure 1). Recognizing the importance of exploring both SCA and GCA (Barbosa et al, 2004;Bastos et al, 2003;Bressiani et al, 2002;Hogarth, 1980;Santana, Reis, & Chaves, 2017;Wu et al, 1980), we propose the application of RRS in sug-arcane breeding. In this context, RRS using the population in question could be applied at two levels, as described by Resende and Barbosa (2005): (a) at the population level, involving the crossing of several individuals from one population with individuals from the reciprocal population, and (b) at the individual level (IRRS), involving only one individual from each population, which results in an excellent cross with high genotypic value and high SCA.…”
Section: Proposal To Obtain Heterotic Groupsmentioning
confidence: 99%
“…Selection for borer resistance at the T1 stage could increase the frequency of favorable alleles, increasing the resistance of the population for the following selection stages. Individual (mass) selection is inefficient at this stage for traits with low heritability, such as borer resistance, due to the lack of replication for individual genotypes (Santana et al 2017). Family selection is particularly useful for traits with low heritability because, unlike clones, families can be evaluated using replicated plots and across years and sites, thereby improving estimates of family means (Kimbeng and Cox 2003).…”
Section: Introductionmentioning
confidence: 99%
“…Family selection, when followed by individual clone selection, is superior in terms of genetic gain than either family or individual clone selection alone (Brasileiro et al 2016). The availability of family data makes it possible to estimate the breeding value of parents using the Best Linear Unbiased Predictors (BLUP), and it enables planning for better cross combinations (Santana et al 2017). The BLUP allows data from a diverse range of mating designs and parent, family, and individual data to be combined into a single breeding value for each trait and genotype (Kimbeng andCox 2003, Barbosa et al 2004).…”
Section: Introductionmentioning
confidence: 99%