2022
DOI: 10.1016/j.phytochem.2022.113175
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Classification of sugarcane genotypes susceptible and resistant to the initial attack of sugarcane borer Diatraea saccharalis using epicuticular wax composition

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Cited by 6 publications
(7 citation statements)
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“…This suggests that the composition of wax has a high degree of variability. In addition, we identified 157 different wax metabolites, which is significantly more than the 25 metabolites identified in a previous study [ 14 ]. Interestingly, we found naphthalene and isophorone were the two most abundant metabolites in the wax samples, which are two metabolites reported as being associated with insect resistance in plants [ 29 , 30 , 31 , 32 , 33 ].…”
Section: Discussionmentioning
confidence: 81%
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“…This suggests that the composition of wax has a high degree of variability. In addition, we identified 157 different wax metabolites, which is significantly more than the 25 metabolites identified in a previous study [ 14 ]. Interestingly, we found naphthalene and isophorone were the two most abundant metabolites in the wax samples, which are two metabolites reported as being associated with insect resistance in plants [ 29 , 30 , 31 , 32 , 33 ].…”
Section: Discussionmentioning
confidence: 81%
“…Naphthalene is one of the ingredients of insect repellents [ 37 , 38 ], while isophorone can be found in an insect attractant [ 39 , 40 , 41 ], which may suggest that metabolites isolated, purified and formulated from sugarcane wax could be used to control sugarcane borers. In addition, Wartha (2022) reported that specific sugarcane wax metabolites were associated with insect resistance of sugarcane germplasm [ 14 ]. Thus, these metabolites could be used as parameters or indicators to evaluate the ability of the sugarcane resistance to insects.…”
Section: Discussionmentioning
confidence: 99%
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“…Ordered predictors selection adapted for classification models (OPSDA) , was performed to find more interpretative variables and improve the classification methods, enhancing specificity and selectivity. The classification methods were evaluated regarding sensitivity, specificity, and classification error, as presented in eqs –. Sensitivity = TP TP + FN Specificity = TN TN + FP Error = FP + FN TP + TN + FP + FN Here, TP is the true positive, TN is the true negative, FP is the false positive, and FN is the false negative.…”
Section: Methodsmentioning
confidence: 99%
“…Resistance to borers in sugarcane manifests in leaves or stems, impeding or retarding larval ingress into the stalks (Kvedaras et al 2007). Traits linked to leave, such as narrow leaves, leaf shedding, erect leaves, long leaf spindles, low leaf senescence, and those related to stems, including high fiber content, light stalk color, heavy wax coating, thin stalks, high vigor, high juice content, and rind hardness and epicuticular wax composition, have served as criteria for ranking entries based on their resistance to borers (Long and Hensley 1972;Ngwuta 2015;Reagan and Mulcahy 2019;de Mello et al 2020;Wartha et al 2022;Penn and Read 2023). The selection of numerous resistant sugarcane cultivars has been facilitated by these pivotal resistance traits.…”
Section: Host Plant Resistancementioning
confidence: 99%