2014
DOI: 10.1007/s10886-014-0404-6
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Mixture-Amount Design and Response Surface Modeling to Assess the Effects of Flavonoids and Phenolic Acids on Developmental Performance of Anastrepha ludens

Abstract: Host plant resistance to insect attack and expansion of insect pests to novel hosts may to be modulated by phenolic compounds in host plants. Many studies have evaluated the role of phenolics in host plant resistance and the effect of phenolics on herbivore performance, but few studies have tested the joint effect of several compounds. Here, we used mixture-amount experimental design and response surface modeling to study the effects of a variety of phenolic compounds on the development and survival of Mexican… Show more

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Cited by 15 publications
(11 citation statements)
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“…Control diets were treated with an identical volume of 8% ethanol solution alone. The higher concentration tested (32 mg/100 g) was within the range of chlorogenic acid concentrations present in apple cultivars that are resistant to A. ludens attack2035.…”
Section: Methodsmentioning
confidence: 89%
“…Control diets were treated with an identical volume of 8% ethanol solution alone. The higher concentration tested (32 mg/100 g) was within the range of chlorogenic acid concentrations present in apple cultivars that are resistant to A. ludens attack2035.…”
Section: Methodsmentioning
confidence: 89%
“…2013 ). In addition, fly colonies support studies on the defensive role of host plant secondary metabolites ( Pascacio-Villafán et al. 2014 ), life-history strategies ( Salum et al.…”
Section: Introductionmentioning
confidence: 98%
“…The 3D response surface plots and its corresponding 2D contour plots were obtained based on the model regression equation ( Equations 4 and 5 , respectively) using the Origin-Pro software (version 9.0, OriginLab, Northampton, MA, USA). Because a response surface plot can only express a function of two variables, 32 in this study, we held one of the three variables at the intermediate level within its range to evaluate the influences of the other two variables and their interactions. By keeping variable X 1 at the intermediate level (18 mg/mL), the combined effects of variable X 2 and X 3 on the DL were investigated.…”
Section: Resultsmentioning
confidence: 99%