<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="other" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">F1000Research</journal-id>
            <journal-title-group>
                <journal-title>F1000Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2046-1402</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/f1000research.9195.1</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Research Note</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                    <subj-group>
                        <subject>Agriculture &amp; Biotechnology</subject>
                    </subj-group>
                    <subj-group>
                        <subject>Conservation &amp; Restoration Ecology</subject>
                    </subj-group>
                    <subj-group>
                        <subject>Plant Growth &amp; Development</subject>
                    </subj-group>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>How much is a pheromone worth?</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 2 approved]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Bento</surname>
                        <given-names>Jose Mauricio S.</given-names>
                    </name>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Parra</surname>
                        <given-names>Jose Roberto P.</given-names>
                    </name>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>de Miranda</surname>
                        <given-names>Silvia H. G.</given-names>
                    </name>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Adami</surname>
                        <given-names>Andrea C. O.</given-names>
                    </name>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Vilela</surname>
                        <given-names>Evaldo F.</given-names>
                    </name>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Leal</surname>
                        <given-names>Walter S.</given-names>
                    </name>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a4">4</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Department of Entomology and Acarology, University of S&#x00e3;o Paulo, ESALQ, Piracicaba, Brazil</aff>
                <aff id="a2">
                    <label>2</label>Department of Economics, Administration and Sociology, University of S&#x00e3;o Paulo, ESALQ, Piracicaba, Brazil</aff>
                <aff id="a3">
                    <label>3</label>Department of Entomology, Federal University of Vi&#x00e7;osa, Vi&#x00e7;osa, Brazil</aff>
                <aff id="a4">
                    <label>4</label>Department of Molecular and Cellular Biology, University of California, Davis, CA, USA</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:wsleal2010@gmail.com">wsleal2010@gmail.com</email>
                </corresp>
                <fn fn-type="con">
                    <p>JMSB, JRPP, EFV, and WSL designed the research. SHGM and ACOA performed cost-benefit analysis. JMSB, SHGM, ACOA, and WSL analyzed the data. JMSB and WSL wrote the manuscript. All authors have agreed to the final content of the manuscript.</p>
                </fn>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>The authors declare no conflict of interest.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>20</day>
                <month>7</month>
                <year>2016</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2016</year>
            </pub-date>
            <volume>5</volume>
            <elocation-id>1763</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>14</day>
                    <month>7</month>
                    <year>2016</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2016 Bento JMS et al.</copyright-statement>
                <copyright-year>2016</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://f1000research.com/articles/5-1763/pdf"/>
            <abstract>
                <p>Pheromone-baited traps have been widely used in integrated pest management programs, but their economic value for growers has never been reported. We analyzed the economic benefits of long-term use of traps baited with the citrus fruit borer 
                    <italic toggle="yes">Gymnandrosoma aurantianum</italic> sex pheromone in Central-Southern Brazil. Our analysis show that from 2001 to 2013 citrus growers avoided accumulated pest losses of 132.7 million to 1.32 billion USD in gross revenues, considering potential crop loses in the range of 5 to 50%. The area analyzed, 56,600 to 79,100 hectares of citrus (20.4 to 29.4 million trees), corresponds to 9.7 to 13.5% of the total area planted with citrus in the state of S&#x00e3;o Paulo. The data show a benefit-to-cost ratio of US$ 2,655 to US$ 26,548 per dollar spent on research with estimated yield loss prevented in the range of 5-50%, respectively. This study demonstrates that, in addition to the priceless benefits for the environment, sex pheromones are invaluable tools for growers as their use for monitoring populations allows rational and reduced use of insecticides, a win-win situation.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Gymnandrosoma aurantianum</kwd>
                <kwd>citrus fruit borer</kwd>
                <kwd>benefit-cost analysis</kwd>
                <kwd>pest management</kwd>
                <kwd>monitoring</kwd>
            </kwd-group>
            <funding-group>
                <funding-statement>Supported in part by S&#x00e3;o Paulo Research Foundation (FAPESP), Citriculture Defense Fund (Fundecitrus), National Council for Scientific and Technological Development (CNPq) and Coordinating Agency for the Improvement of Higher Education Personnel (CAPES). </funding-statement>
                <funding-statement>
                    <italic>The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</italic>
                </funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec sec-type="intro">
            <title>Introduction</title>
            <p>The discovery of bombykol as the sex pheromone of a domesticated insect species (
                <xref ref-type="bibr" rid="ref-6">Butenandt 
                    <italic toggle="yes">et al.</italic>, 1959</xref>) triggered the interest of entomologists and natural product chemists to jointly identify pheromones from economically important insect pests and explore their potential in Integrated Pest Management (IPM) (
                <xref ref-type="bibr" rid="ref-15">Howse 
                    <italic toggle="yes">et al.</italic>, 1998</xref>; 
                <xref ref-type="bibr" rid="ref-29">Ridgway 
                    <italic toggle="yes">et al.</italic>, 1990</xref>; 
                <xref ref-type="bibr" rid="ref-31">Silverstein, 1981</xref>). This interest continues to increase to date given the need for environmentally friendly alternatives to control insect pest populations. After all, pheromones are non-polluting and usually non-toxic natural products. Strictly speaking they are nature-inspired synthetic compounds, i.e., identical to natural products, but manmade chemical signals. Additionally, pheromones are species-specific and safe for beneficial organisms; thus, they are ideal components of IPM programs (
                <xref ref-type="bibr" rid="ref-19">Jutsum &amp; Gordan, 1989</xref>). Of note, pheromones have been registered in many countries for use in pest management, and no evidence of adverse effects has been reported (
                <xref ref-type="bibr" rid="ref-36">Witzgall 
                    <italic toggle="yes">et al.</italic>, 2010</xref>). There is a consensus that successful implementation of pheromones in the field frequently involves a joint effort by chemical ecologists, entomologists and/or extension agronomists, and growers, in addition to the pheromone industry (
                <xref ref-type="bibr" rid="ref-36">Witzgall 
                    <italic toggle="yes">et al.</italic>, 2010</xref>).</p>
            <p>There are many ways in which pheromones can be used for surveillance and IPM programs, including monitoring, attract-and-kill, and mating disruption. Pheromone-baited traps are sufficiently sensitive to detect low population densities and are therefore an effective way for tracking invasive species while they are still at the establishment stage (
                <xref ref-type="bibr" rid="ref-11">El-Sayed 
                    <italic toggle="yes">et al.</italic>, 2006</xref>; 
                <xref ref-type="bibr" rid="ref-24">Liebhold &amp; Tobin, 2008</xref>). Population monitoring has been a simple and widely used strategy to determine the ideal moment for application of control procedures (i.e., insecticides), using pre-defined thresholds (action levels) based on level of capture in pheromone-baited traps. This strategy reduces the use of insecticides to the minimal amount necessary to protect both crops and the environment (
                <xref ref-type="bibr" rid="ref-33">Thomson 
                    <italic toggle="yes">et al.</italic>, 1999</xref>; 
                <xref ref-type="bibr" rid="ref-36">Witzgall 
                    <italic toggle="yes">et al.</italic>, 2010</xref>).</p>
            <p>One of the first systems to use an action level based on capture with pheromone-baited traps was established for the pea moth 
                <italic toggle="yes">Cydia nigricana</italic> (
                <xref ref-type="bibr" rid="ref-35">Wall 
                    <italic toggle="yes">et al.</italic>, 1987</xref>). Later, many other studies were conducted with equal success in agricultural, horticultural or forestry applications, against pest species including the European corn borer 
                <italic toggle="yes">Ostrinia nubilalis</italic> (
                <xref ref-type="bibr" rid="ref-22">Laurent &amp; Fr&#x00e9;rot, 2007</xref>), tufted apple budmoth 
                <italic toggle="yes">Platynota idaeusalis</italic> (
                <xref ref-type="bibr" rid="ref-20">Knight &amp; Hull, 1989</xref>), lightbrown apple moth (
                <xref ref-type="bibr" rid="ref-5">Bradley 
                    <italic toggle="yes">et al.</italic>, 1998</xref>), scale insects (
                <xref ref-type="bibr" rid="ref-10">Dunkleblum, 1999</xref>), Mullein bug 
                <italic toggle="yes">Campylomma verbasci</italic> (
                <xref ref-type="bibr" rid="ref-26">McBrien 
                    <italic toggle="yes">et al.</italic>, 1994</xref>), grapevine moth 
                <italic toggle="yes">Lobesia botrana</italic> (
                <xref ref-type="bibr" rid="ref-18">Ioriatti 
                    <italic toggle="yes">et al.</italic>, 2011</xref>), codling moth 
                <italic toggle="yes">Cydia pomonella</italic> (
                <xref ref-type="bibr" rid="ref-25">Madsen &amp; Vakenti, 1973</xref>), Oriental fruit moth 
                <italic toggle="yes">Grapholita molesta</italic> (
                <xref ref-type="bibr" rid="ref-30">Rothschild &amp; Vickers, 1991</xref>), pink bollworm 
                <italic toggle="yes">Pectinophora gossypiella</italic> (
                <xref ref-type="bibr" rid="ref-28">Qureshi 
                    <italic toggle="yes">et al.</italic>, 1984</xref>), Old World bollworm 
                <italic toggle="yes">Helicoverpa armigera</italic> (
                <xref ref-type="bibr" rid="ref-7">Cameron 
                    <italic toggle="yes">et al.</italic>, 2001</xref>), cotton leafworm 
                <italic toggle="yes">Spodoptera litura</italic> (
                <xref ref-type="bibr" rid="ref-32">Singh &amp; Sachan, 1993</xref>), and yellow rice stem borer 
                <italic toggle="yes">Scirpophaga incertulas</italic> (
                <xref ref-type="bibr" rid="ref-21">Krishnaiah 
                    <italic toggle="yes">et al.</italic>, 1998</xref>), just to cite a few.</p>
            <p>Despite the clear advantages offered by the use of pheromones in IPM in recent decades, particularly the use of traps for monitoring in extensive areas, to date there are no studies on their economic benefits. While the benefits for the environment are less tangible, the economic benefits could be estimated. Evidence of economic benefits could be extremely helpful in motivating growers to employ environmentally friendly strategies for pest control, the chemical industry to participate in production and commercialization of pheromones, and the public and private sector to promote and support more translational research.</p>
            <p>The citrus fruit borer 
                <italic toggle="yes">Gymnandrosoma aurantianum</italic> Lima (Lepidoptera, Tortricidae) is a representative case for analysis of the economic benefits achieved by the use of a synthetic pheromone to manage this pest in extensive areas. Brazil is the leading worldwide producer of citrus (
                <xref ref-type="bibr" rid="ref-34">USDA, 2015</xref>), and Central-Southern Brazil, an area with generalized occurrence of the citrus fruit borer, accounts for approximately 80% of all citrus production in the country (
                <xref ref-type="bibr" rid="ref-16">IBGE, 2015</xref>). Females normally deposit a single egg per fruit (
                <xref ref-type="bibr" rid="ref-13">Garcia &amp; Parra, 1999</xref>); after eclosion, the larvae pierce the skin and bore into the fruit in order to feed on the pulp (
                <xref ref-type="bibr" rid="ref-9">Fonseca, 1934</xref>). Once they have penetrated the fruit, larval control becomes impracticable and the fruit is rendered unfit for consumption (
                <xref ref-type="bibr" rid="ref-4">Bento 
                    <italic toggle="yes">et al.</italic>, 2001</xref>).</p>
            <p>In the 1980s, indiscriminate use of insecticides, especially pyrethroids, against a wide variety of pest insects and mites in citrus orchards in Central-Southern Brazil contributed to a drastic reduction of natural enemies, favoring an increase in the population of 
                <italic toggle="yes">G. aurantianum</italic> (
                <xref ref-type="bibr" rid="ref-27">Parra 
                    <italic toggle="yes">et al.</italic>, 2004</xref>). Starting in the 1990s, yield losses due to the citrus fruit borer were estimated at over US$50 million per year (
                <xref ref-type="bibr" rid="ref-1">Anonymous, 2000</xref>).</p>
            <p>The sex pheromone of 
                <italic toggle="yes">G. aurantianum</italic>, (
                <italic toggle="yes">E</italic>)-8-dodecenyl acetate and (
                <italic toggle="yes">E</italic>)-8-dodecenol, was identified by members of our group in early 2000&#x2019;s (
                <xref ref-type="bibr" rid="ref-23">Leal 
                    <italic toggle="yes">et al.</italic>, 2001</xref>). At that time, 
                <xref ref-type="bibr" rid="ref-4">Bento 
                    <italic toggle="yes">et al.</italic> (2001)</xref> established strategies for its use in the field, including the number of traps per area, trap positioning on trees, pheromone durability, and control level based on number of males collected per week. In November 2001, the Rural Growers Cooperative (Coopercitrus) placed the synthetic pheromone on the market, focusing on citrus growers in the state of S&#x00e3;o Paulo after an intense campaign to divulge the technology, train extension agronomists, give presentations, and distribute technical bulletins to citrus producers (
                <xref ref-type="bibr" rid="ref-27">Parra 
                    <italic toggle="yes">et al.</italic>, 2004</xref>).</p>
            <p>In this paper, we report a benefit-cost analysis applied to the citrus industry in the period from 2001 to 2013 in the state of S&#x00e3;o Paulo, Brazil, based on gross revenues (in US$) corresponding to total production (in boxes of oranges) that growers avoided losing by using traps baited with the sex pheromone of the citrus fruit borer 
                <italic toggle="yes">G. aurantianum</italic> in the monitored areas. We also discuss strategies for pheromone-baited trap use and its efficiency in the management and control of 
                <italic toggle="yes">G. aurantianum</italic>.</p>
        </sec>
        <sec sec-type="materials | methods">
            <title>Materials and methods</title>
            <sec>
                <title>Benefit-cost analysis</title>
                <p>The economic analysis covered the period from November 2001 to December 2013. Monetary results were calculated as losses avoided, i.e., the amount of gross revenues (in US$) corresponding to total production (in boxes of oranges) whose loss was prevented by using traps baited with pheromone of the citrus fruit borer 
                    <italic toggle="yes">G. aurantianum</italic>, in the monitored areas in the state of S&#x00e3;o Paulo, Brazil.</p>
                <p>Data on the number of citrus trees in the state of S&#x00e3;o Paulo and their average yield (boxes/tree) were obtained from the Agricultural Economics Institute (IEA) (
                    <xref ref-type="bibr" rid="ref-17">IEA, 2015</xref>). To calculate the average annual price (US$) of sale of one box of oranges (40.8 kg), we used the average monthly price published by the Center for Advanced Studies on Applied Economics (Cepea) (
                    <xref ref-type="bibr" rid="ref-8">Cepea, 2015</xref>), corresponding to the average amounts in US$ paid to citrus growers per box, on credit, in the state of S&#x00e3;o Paulo, Brazil, including costs of harvesting and shipping, for oranges of the Pera, Natal and Valencia varieties. Monetary variables were updated to values applicable in June 2014, the final month of data used in this report, using the average exchange rate (PTAX) effective on that month as informed by the Central Bank of Brazil (
                    <xref ref-type="bibr" rid="ref-2">Bacen, 2015</xref>). The reference discount rate considered here was the average annual rate of 4% published by the Special System for Settlement and Custody (Selic) of the Central Bank of Brazil for June 2014 (
                    <xref ref-type="bibr" rid="ref-2">Bacen, 2015</xref>), and the nominal data were transformed into real values using the General Price Index &#x2013; Internal Availability (IGP-DI), published by the Get&#x00fa;lio Vargas Foundation (
                    <xref ref-type="bibr" rid="ref-12">FGV, 2015</xref>).</p>
                <p>The number of traps baited with 
                    <italic toggle="yes">G. aurantianum</italic> pheromone sold between November 2001 and December 2013, as well as their prices (in US$) were obtained from the Coopercitrus, the only entity responsible for their distribution in the entire state of S&#x00e3;o Paulo, Brazil. Each year (2001&#x2013;2013), 
                    <italic toggle="yes">G. aurantianum</italic> was monitored during the citrus harvesting season (~ 6 months). According to 
                    <xref ref-type="bibr" rid="ref-4">Bento 
                        <italic toggle="yes">et al.</italic> (2001)</xref>, the traps have a durability of one month and cover an area of approximately 10 hectares when used for monitoring. Therefore, six traps/year were installed per 10 hectares monitored. According to available data, the citrus fruit borer can cause yield losses of up to 50% per tree (
                    <xref ref-type="bibr" rid="ref-27">Parra 
                        <italic toggle="yes">et al.</italic>, 2004</xref>). However, for our calculations, we considered a 5 to 50% range of losses avoided in the period from November 2001 to December 2013. Costs were calculated based on the prices paid for purchase of the traps and the initial amount invested in research to develop the technology, which was US$50,000 (
                    <xref ref-type="bibr" rid="ref-27">Parra 
                        <italic toggle="yes">et al.</italic>, 2004</xref>). Costs of labor for trap installation and monitoring, as well as indirect investments, including use of University resources and researchers and product registration expenses, were not taken into account. Benefits were estimated in the form of losses avoided, by calculating the number of boxes produced in a scenario in which the citrus fruit borer is present, i.e., considering the yield losses that would be caused by the pest if no traps had been used. These losses were then monetized, based on the price of a box of oranges. Finally, the benefit-to-cost ratio was calculated based on total present value, considering both the benefits and the estimated costs of monitoring and control of the citrus fruit borer between 2001 and 2013.</p>
            </sec>
        </sec>
        <sec sec-type="results | discussion">
            <title>Results and discussion</title>
            <p>Total losses avoided by using traps baited with sex pheromone of 
                <italic toggle="yes">G. aurantianum</italic> in the period from 2001 to 2013 ranged from US$132.7 million to US$1.32 billion in gross revenues. In other words, this was the estimated aggregate total of gross revenues from the sale of oranges that growers avoided losing by using pheromone-baited traps, considering a 5&#x2013;50% range of potential losses caused by citrus fruit borer infestation in citrus orchards in the state of S&#x00e3;o Paulo (
                <xref ref-type="table" rid="T1">Table 1</xref>; 
                <xref ref-type="fig" rid="f1">Figure 1</xref>). Of note, it is already known that the citrus fruit borer can cause yield losses of up to 50% per tree (
                <xref ref-type="bibr" rid="ref-27">Parra 
                    <italic toggle="yes">et al.</italic>, 2004</xref>)</p>
            <table-wrap id="T1" orientation="portrait" position="anchor">
                <label>Table 1. </label>
                <caption>
                    <title>Data on use of traps baited with synthetic pheromone of the citrus fruit borer 
                        <italic toggle="yes">Gymnandrosoma aurantianum</italic>, in relation to the total area planted with citrus in the state of S&#x00e3;o Paulo, Brazil, between November 2001 and December 2013.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th colspan="1" rowspan="1"/>
                            <th align="center" colspan="1" rowspan="1">2001
                                <sup>*</sup>
                            </th>
                            <th align="center" colspan="1" rowspan="1">2002</th>
                            <th align="center" colspan="1" rowspan="1">2003</th>
                            <th align="center" colspan="1" rowspan="1">2004</th>
                            <th align="center" colspan="1" rowspan="1">2005</th>
                            <th align="center" colspan="1" rowspan="1">2006</th>
                            <th align="center" colspan="1" rowspan="1">2007</th>
                            <th align="center" colspan="1" rowspan="1">2008</th>
                            <th align="center" colspan="1" rowspan="1">2009</th>
                            <th align="center" colspan="1" rowspan="1">2010</th>
                            <th align="center" colspan="1" rowspan="1">2011</th>
                            <th align="center" colspan="1" rowspan="1">2012</th>
                            <th align="center" colspan="1" rowspan="1">2013</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="14" rowspan="1">
								
                                <bold>
									
                                    <italic toggle="yes">Citrus data</italic>
								</bold>
							</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1">Area (ha)</td>
                            <td align="right" colspan="1" rowspan="1">581,487</td>
                            <td align="right" colspan="1" rowspan="1">586,837</td>
                            <td align="right" colspan="1" rowspan="1">600,06</td>
                            <td align="right" colspan="1" rowspan="1">587,935</td>
                            <td align="right" colspan="1" rowspan="1">574,51</td>
                            <td align="right" colspan="1" rowspan="1">571,532</td>
                            <td align="right" colspan="1" rowspan="1">584,096</td>
                            <td align="right" colspan="1" rowspan="1">592,566</td>
                            <td align="right" colspan="1" rowspan="1">551,901</td>
                            <td align="right" colspan="1" rowspan="1">548,103</td>
                            <td align="right" colspan="1" rowspan="1">563,952</td>
                            <td align="right" colspan="1" rowspan="1">470,082</td>
                            <td align="right" colspan="1" rowspan="1">455,000</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1">Trees (units)</td>
                            <td align="right" colspan="1" rowspan="1">205,811,063</td>
                            <td align="right" colspan="1" rowspan="1">211,631,592</td>
                            <td align="right" colspan="1" rowspan="1">212,560,034</td>
                            <td align="right" colspan="1" rowspan="1">215,424,155</td>
                            <td align="right" colspan="1" rowspan="1">215,030,451</td>
                            <td align="right" colspan="1" rowspan="1">211,084,838</td>
                            <td align="right" colspan="1" rowspan="1">217,485,693</td>
                            <td align="right" colspan="1" rowspan="1">231,763,878</td>
                            <td align="right" colspan="1" rowspan="1">225,665,723</td>
                            <td align="right" colspan="1" rowspan="1">211,425,179</td>
                            <td align="right" colspan="1" rowspan="1">224,716,022</td>
                            <td align="right" colspan="1" rowspan="1">215,616,377</td>
                            <td align="right" colspan="1" rowspan="1">194,740,000</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1">Trees
                                <break/>(units/
                                <break/>ha)</td>
                            <td align="right" colspan="1" rowspan="1">353.94</td>
                            <td align="right" colspan="1" rowspan="1">360.63</td>
                            <td align="right" colspan="1" rowspan="1">354.23</td>
                            <td align="right" colspan="1" rowspan="1">366.41</td>
                            <td align="right" colspan="1" rowspan="1">374.28</td>
                            <td align="right" colspan="1" rowspan="1">369.33</td>
                            <td align="right" colspan="1" rowspan="1">372.35</td>
                            <td align="right" colspan="1" rowspan="1">391.12</td>
                            <td align="right" colspan="1" rowspan="1">408.89</td>
                            <td align="right" colspan="1" rowspan="1">385.74</td>
                            <td align="right" colspan="1" rowspan="1">398.47</td>
                            <td align="right" colspan="1" rowspan="1">458.86</td>
                            <td align="right" colspan="1" rowspan="1">428.00</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1">Yield (boxes/
                                <break/>tree)**</td>
                            <td align="right" colspan="1" rowspan="1">1.82</td>
                            <td align="right" colspan="1" rowspan="1">1.77</td>
                            <td align="right" colspan="1" rowspan="1">1.93</td>
                            <td align="right" colspan="1" rowspan="1">1.74</td>
                            <td align="right" colspan="1" rowspan="1">1.92</td>
                            <td align="right" colspan="1" rowspan="1">1.92</td>
                            <td align="right" colspan="1" rowspan="1">1.95</td>
                            <td align="right" colspan="1" rowspan="1">1.99</td>
                            <td align="right" colspan="1" rowspan="1">1.87</td>
                            <td align="right" colspan="1" rowspan="1">1.86</td>
                            <td align="right" colspan="1" rowspan="1">1.77</td>
                            <td align="right" colspan="1" rowspan="1">1.90</td>
                            <td align="right" colspan="1" rowspan="1">1.91</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1">Yield (boxes/
                                <break/>ha)**</td>
                            <td align="right" colspan="1" rowspan="1">645.91</td>
                            <td align="right" colspan="1" rowspan="1">639.98</td>
                            <td align="right" colspan="1" rowspan="1">682.37</td>
                            <td align="right" colspan="1" rowspan="1">639.22</td>
                            <td align="right" colspan="1" rowspan="1">717.67</td>
                            <td align="right" colspan="1" rowspan="1">707.38</td>
                            <td align="right" colspan="1" rowspan="1">724.67</td>
                            <td align="right" colspan="1" rowspan="1">779.90</td>
                            <td align="right" colspan="1" rowspan="1">763.38</td>
                            <td align="right" colspan="1" rowspan="1">717.13</td>
                            <td align="right" colspan="1" rowspan="1">704.32</td>
                            <td align="right" colspan="1" rowspan="1">872.32</td>
                            <td align="right" colspan="1" rowspan="1">819.57</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="14" rowspan="1">
								
                                <bold>
									
                                    <italic toggle="yes">Trap data</italic>
								</bold>
							</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1">Traps sold
                                <break/>(units)</td>
                            <td align="right" colspan="1" rowspan="1">7,824</td>
                            <td align="right" colspan="1" rowspan="1">33,996</td>
                            <td align="right" colspan="1" rowspan="1">40,828</td>
                            <td align="right" colspan="1" rowspan="1">44,752</td>
                            <td align="right" colspan="1" rowspan="1">45,576</td>
                            <td align="right" colspan="1" rowspan="1">41,052</td>
                            <td align="right" colspan="1" rowspan="1">47,436</td>
                            <td align="right" colspan="1" rowspan="1">35,874</td>
                            <td align="right" colspan="1" rowspan="1">33,570</td>
                            <td align="right" colspan="1" rowspan="1">31,970</td>
                            <td align="right" colspan="1" rowspan="1">33,616</td>
                            <td align="right" colspan="1" rowspan="1">35,398</td>
                            <td align="right" colspan="1" rowspan="1">33,924</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1">Area
                                <break/>covered by
                                <break/>traps (ha)***</td>
                            <td align="right" colspan="1" rowspan="1">13,040</td>
                            <td align="right" colspan="1" rowspan="1">56,660</td>
                            <td align="right" colspan="1" rowspan="1">68,047</td>
                            <td align="right" colspan="1" rowspan="1">74,587</td>
                            <td align="right" colspan="1" rowspan="1">75,960</td>
                            <td align="right" colspan="1" rowspan="1">68,420</td>
                            <td align="right" colspan="1" rowspan="1">79,060</td>
                            <td align="right" colspan="1" rowspan="1">59,790</td>
                            <td align="right" colspan="1" rowspan="1">55,950</td>
                            <td align="right" colspan="1" rowspan="1">53,283</td>
                            <td align="right" colspan="1" rowspan="1">56,110</td>
                            <td align="right" colspan="1" rowspan="1">58,997</td>
                            <td align="right" colspan="1" rowspan="1">56,507</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1">Trees
                                <break/>covered by
                                <break/>traps ****</td>
                            <td align="right" colspan="1" rowspan="1">4,615,368</td>
                            <td align="right" colspan="1" rowspan="1">20,433,350</td>
                            <td align="right" colspan="1" rowspan="1">24,104,259</td>
                            <td align="right" colspan="1" rowspan="1">27,329,160</td>
                            <td align="right" colspan="1" rowspan="1">28,430,685</td>
                            <td align="right" colspan="1" rowspan="1">25,269,669</td>
                            <td align="right" colspan="1" rowspan="1">29,437,659</td>
                            <td align="right" colspan="1" rowspan="1">23,385,011</td>
                            <td align="right" colspan="1" rowspan="1">22,877,286</td>
                            <td align="right" colspan="1" rowspan="1">20,553,506</td>
                            <td align="right" colspan="1" rowspan="1">22,357,959</td>
                            <td align="right" colspan="1" rowspan="1">27,060,486</td>
                            <td align="right" colspan="1" rowspan="1">24,184,853</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1">Area
                                <break/>covered by
                                <break/>traps (%)</td>
                            <td align="right" colspan="1" rowspan="1">2.24</td>
                            <td align="right" colspan="1" rowspan="1">9.66</td>
                            <td align="right" colspan="1" rowspan="1">11.34</td>
                            <td align="right" colspan="1" rowspan="1">12.69</td>
                            <td align="right" colspan="1" rowspan="1">13.22</td>
                            <td align="right" colspan="1" rowspan="1">11.97</td>
                            <td align="right" colspan="1" rowspan="1">13.54</td>
                            <td align="right" colspan="1" rowspan="1">10.09</td>
                            <td align="right" colspan="1" rowspan="1">10.14</td>
                            <td align="right" colspan="1" rowspan="1">9.72</td>
                            <td align="right" colspan="1" rowspan="1">9.95</td>
                            <td align="right" colspan="1" rowspan="1">12.55</td>
                            <td align="right" colspan="1" rowspan="1">12.42</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <fn>
                        <p>*Start sales (Nov., 2001)</p>
                        <p>** 1 box = 40.8 Kg</p>
                        <p>*** 1 trap/10ha/month, during 6 months (see 
                            <xref ref-type="bibr" rid="ref-4">Bento 
                                <italic toggle="yes">et al.</italic>, 2001</xref>)(Trap sold per year/6 &#x00d7; 10ha)</p>
                        <p>**** Area covered by traps (ha)/year &#x00d7; Trees (units/ha/year)</p>
                    </fn>
                </table-wrap-foot>
            </table-wrap>
            <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                <label>Figure 1. </label>
                <caption>
                    <title>Losses avoided (in millions US$) by using traps baited with the sex pheromone for the citrus fruit borer 
                        <italic toggle="yes">Gymnandrosoma aurantianum</italic> between 2001 and 2013 in the state of S&#x00e3;o Paulo, Brazil.</title>
                    <p>Calculations considered yield loss ranging from a very conservative (5%) up to high (50%) estimates (
                        <xref ref-type="bibr" rid="ref-27">Parra 
                            <italic toggle="yes">et al.</italic>, 2004</xref>).</p>
                </caption>
                <graphic orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/9897/c2e93d1b-9bc2-4e62-bdcb-b0609d8f8dda_figure1.gif"/>
            </fig>
            <p>The total cost of trap purchases from 2001 to 2013 was US$5,065,807.81 (US$5.06 million). It should be noted that some costs were not measured in this study, such as labor costs of the inspections that used to be performed before the traps became available, and the fact that insecticide spraying was once triggered by a 3&#x2013;5% yield loss caused by the caterpillars of 
                <italic toggle="yes">G. aurantianum</italic> (
                <xref ref-type="bibr" rid="ref-14">Gravena, 1998</xref>). Therefore, economic losses due to infested fruit were already occurring in the field, as were expenditures on chemical controls (labor, products and machine time) that were extensively used in the entire area of the orchard. Pheromone-baited traps lowered the costs of inspections (labor) in the entire orchard, in addition to reducing the costs of machine operation and insecticide use, as chemical control became targeted only at areas effectively infested with the insect at quantities above the control level. According to 
                <xref ref-type="bibr" rid="ref-4">Bento 
                    <italic toggle="yes">et al.</italic> (2001)</xref>, the use of pheromone-baited traps was shown to be efficient because it monitors adults at their mating stage, enabling growers to apply chemical control before oviposition and subsequent damage to fruits. The authors also showed that, when a control level of six or more males/week was adopted, the average percentage of damaged fruits was 0.6% in the monitored areas. In addition, after successive years of trap use, growers achieved a reduction of approximately 50% in insecticide use to control the citrus fruit borer 
                <italic toggle="yes">G. aurantianum</italic> (
                <xref ref-type="bibr" rid="ref-27">Parra 
                    <italic toggle="yes">et al.</italic>, 2004</xref>).</p>
            <p>The initial investment in the research that resulted in the development of pheromone-baited trap was US$ 50,000. Therefore, in terms of the governmental costs, the benefit-cost ratio of the initial investment (present value of losses avoided/total investment) ranged from US$ 2,655 to 26,548 per dollar spent with a yield loss of 5&#x2013;50%, respectively (
                <xref ref-type="fig" rid="f2">Figure 2a</xref>). In terms of the return for the producer, in which the cost of the traps is included (US$ 5.06 million), the benefit-cost ratio was US$ 12.02 to 120.19 per dollar spent considering yield losses of 5&#x2013;50% (
                <xref ref-type="fig" rid="f2">Figure 2b</xref>). These potential losses were based on an estimation of infestation by 
                <italic toggle="yes">G. aurantianum</italic> in citrus orchards in the state of S&#x00e3;o Paulo.</p>
            <fig fig-type="figure" id="f2" orientation="portrait" position="float">
                <label>Figure 2. </label>
                <caption>
                    <p>Governmental (
                        <bold>A</bold>) and producers (
                        <bold>B</bold>) benefit-to-cost ratio (US$) by investment in research or implementation of pheromone-baited traps to monitor populations of the citrus fruit borer 
                        <italic toggle="yes">Gymnandrosoma aurantianum</italic> between 2001 and 2013 in the state of S&#x00e3;o Paulo, Brazil and rationalize insecticide sprays.</p>
                </caption>
                <graphic orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/9897/c2e93d1b-9bc2-4e62-bdcb-b0609d8f8dda_figure2.gif"/>
            </fig>
            <p>Except for the year 2001, when the sex pheromone of 
                <italic toggle="yes">G. aurantianum</italic> only became available on the market in November, the area monitored during the 12 subsequent years (2002&#x2013;2013) ranged from 56,600 to 79,100 hectares of citrus (20.4 to 29.4 million trees), corresponding to 9.7 to 13.5% of the area planted with citrus in the state of S&#x00e3;o Paulo, the main producing region in Brazil.</p>
            <p>These findings reveal a regularity in the sale and use of pheromone-baited traps by citrus growers during that period (2002&#x2013;2013). Trap sales were relatively stable in that period, with 38,166 units sold per year on average, ranging from 31,970 units (2010) to 47,436 units (2007), possibly due to fluctuations in international prices of orange juice, the main product exported by the Brazilian citrus industry. This regularity suggests a good level of acceptance and application of the technology by growers, and certainly a benefit obtained from its use.</p>
            <p>It worth mentioning that, according to 
                <xref ref-type="bibr" rid="ref-27">Parra 
                    <italic toggle="yes">et al.</italic> (2004)</xref>, the total volume of insecticide sprayed in the monitored areas fell by at least 50%. This can possibly be explained by the fact that spraying was only performed in areas (~10 ha) where the pest was found at levels exceeding the damage level thus preserving the other areas and, consequently, the natural enemies within them. In summary, the use of pheromone in traps for monitoring populations of the citrus fruit borer in 12 years led to tangible benefits to growers and priceless environmental savings.</p>
            <supplementary-material id="DS0" orientation="portrait" position="float" xlink:href="https://f1000researchdata.s3.amazonaws.com/datasets/9195/37f14159-828d-45c7-91a1-b4b72f5739ea_Raw_Data_for_Bento_et_al_F1000R.csv">
                <label>Raw data for Figure 1 and Figure 2</label>
                <caption>
                    <p>Dataset: data used for economic analysis (
                        <xref ref-type="fig" rid="f1">Figure 1</xref>, 
                        <xref ref-type="fig" rid="f2">Figure 2A</xref> and 
                        <xref ref-type="fig" rid="f2">Figure 2B</xref>) covered the period from November 2001 to December 2013 (including a combination with 
                        <xref ref-type="table" rid="T1">Table 1</xref>).</p>
                </caption>
            </supplementary-material>
        </sec>
        <sec>
            <title>Data availability</title>
            <p>The data referenced by this article are under copyright with the following copyright statement: Copyright: &#x00ef;&#x00bf;&#x00bd; 2016 Bento JMS et al.</p>
            <p>Data associated with the article are available under the terms of the Creative Commons Zero "No rights reserved" data waiver (CC0 1.0 Public domain dedication).
                <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/publicdomain/zero/1.0/"/>
            </p>
            <p>F1000Research: Dataset 1. Raw data for 
                <xref ref-type="fig" rid="f1">Figure 1</xref> and 
                <xref ref-type="fig" rid="f2">Figure 2</xref>, 
                <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.5256/f1000research.9195.d129239">10.5256/f1000research.9195.d129239</ext-link> (
                <xref ref-type="bibr" rid="ref-3">Bento 
                    <italic toggle="yes">et al.</italic>, 2016</xref>).</p>
        </sec>
    </body>
    <back>
        <ack>
            <title>Acknowledgments</title>
            <p>The authors thank the citrus producers for making their areas available for research and the Rural Growers Cooperative (Coopercitrus) of S&#x00e3;o Paulo for distributing and advertising the product.</p>
        </ack>
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                    <name>
                        <surname>Torto</surname>
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                    <label>1</label>Behavioural and Chemical Ecology Department, International Centre of Insect Physiology and Ecology, Nairobi, Kenya</aff>
                <aff id="r15333a2">
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                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>1</day>
                <month>8</month>
                <year>2016</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2016 Torto B and Pittchar J</copyright-statement>
                <copyright-year>2016</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport15333" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.9195.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>We considered the following issues in our review of the manuscript: 
                <list list-type="order">
                    <list-item>
                        <p>Economic analysis was based on direct gross revenue corresponding to total production loss avoided. How was this directly or indirectly attributed to sex pheromones?</p>
                    </list-item>
                </list>
            </p>
            <p>
                <list list-type="order">
                    <list-item>
                        <p>Direct economic benefits are ascribed to costs avoided and cost-benefit ratio per dollar spent on research. What were direct and indirect research costs? How were these measured?</p>
                    </list-item>
                </list>
            </p>
            <p>
                <list list-type="order">
                    <list-item>
                        <p>The accuracy of monetary values is in part, but importantly, dependent on the accurate treatment of price data. On the pivotal question of price, the reviewer considered the following questions:</p>
                        <p> </p>
                        <p> -&#x00a0;&#x00a0; Is the average price decomposed into the different contributing variables?</p>
                        <p> -&#x00a0;&#x00a0; What were the relative contributions of each monetary variable to the aggregated components?</p>
                        <p> -&#x00a0; What was the price elasticity?</p>
                        <p> -&#x00a0;&#x00a0; to what extent did the assigned exchange rate affect the overall pricing?</p>
                        <p> -&#x00a0;&#x00a0; how stable was the exchange rate over the entire reference period?</p>
                    </list-item>
                    <list-item>
                        <p>Additional benefits: environmental and ecosystem services?</p>
                    </list-item>
                </list> 
                <bold>Reviewers&#x2019; specific Comments</bold>: 
                <list list-type="order">
                    <list-item>
                        <p>The paper is well-written and significant because of the global renewed focus on alternative environmentally-sustainable IPM strategies using non-polluting, non toxic nature-inspired synthetic products, reducing the use of insecticides (and thereby the carbon footprint of their production) in crop and environmental protection.</p>
                    </list-item>
                    <list-item>
                        <p>The research methodology is adequate. The sample size is adequately representative (9.7% - 13.5% of the total area planted with citrus in Sao Paulo).</p>
                    </list-item>
                    <list-item>
                        <p>The use of an action level data based on capture with pheromone-baited traps is sufficiently documented/ well exemplified.</p>
                    </list-item>
                    <list-item>
                        <p>The main thrust of the paper 
                            <bold>data analysis</bold> is based on benefit-cost analysis applied to the citrus industry in the period from 2001 to 2013 in the state of S&#x00e3;o Paulo, based on gross revenues (in US$) corresponding to total production (in boxes of oranges) that growers avoided losing by using traps baited with the sex pheromone of the citrus fruit borer 
                            <italic>G. aurantianum </italic>in the monitored areas. Whereas the economic value of the pheromone is adequately demonstrated, and the treatment of data, while generally sound, it could be further enhanced by the following considerations:</p>
                        <p> </p>
                        <p> 4.1. In the calculation of the benefit-cost ratio of the initial investment, i.e. present value of losses avoided/total investment, the reviewer&#x2019;s considered opinion is that the prices paid for purchase of the traps and the initial amount invested in research to develop the technology (said to be US$50,000) may not adequately define total costs. The authors correctly mention they excluded labor and indirect intellectual investments &#x2013; which could be considerable. The 
                            <underline>cost of technology delivery</underline> apart from initial research costs is often quite considerable. The authors should make an attempt to estimate these, although understandably these are a complex mix of quantifiable and qualitative values that are not easy to calibrate accurately.</p>
                        <p> </p>
                        <p> 4.2. In terms of costs avoided, it would also be instructive to attempt to compute all the previous direct and ancillary costs e.g. labor costs of the inspections that used to be performed before the traps became available, in addition to the directly attributed (avoided) costs of previous chemical control.</p>
                        <p> </p>
                        <p> 4.3. Data on annual average yield is adequately treated. However, 
                            <bold>price calculations </bold>are based on the average monthly price published by the Center for Advanced Studies on Applied Economics (Cepea) (Cepea, 2015), corresponding to the average amounts in US$ paid to citrus growers per box, on credit. In this calculation, price stability is assumed. The authors need to mention if they took account or how they treated supply Vs demand pressure on price, or any subjectively negotiated discounts on price?</p>
                        <p> </p>
                        <p> The accuracy of monetary values is in part, but importantly, dependent on the accurate treatment of price data. On the pivotal question of price, the reviewer considered the following questions:</p>
                        <p> </p>
                        <p> - Is the average price decomposed into the different contributing variables?</p>
                        <p> - What were the relative contributions of each monetary variable to the aggregated components?</p>
                        <p> - What was the price elasticity?</p>
                        <p> - to what extent did the assigned exchange rate affected the overall pricing?</p>
                        <p> - how stable was the exchange rate over the entire reference period?</p>
                        <p> </p>
                        <p> 4.4. In the overall analysis it would be good to capture the computation of price in an equation that shows the relative contribution of each monetary variable to the aggregated components since the monetary variables were derived from multiple independent (assumed non-synchronized) sources e.g. cepea), PTAX), etc.</p>
                        <p> </p>
                        <p> 4.5 Secondly, in transforming nominal price data into real values using the General Price Index &#x2013; Internal Availability (IGP-DI) the authors need to discuss the price elasticity and sensitivity to each contributing variable.</p>
                        <p> </p>
                        <p> 4.6 Thirdly, still on the question of pricing, monetary variables were updated to values applicable in June 2014, and the final month&#x2019;s PITAX exchange rate used. The authors need to demonstrate to what extent did the assigned exchange rate affected the overall pricing, and explain how stable the exchange rate had been for the entire reference period.</p>
                    </list-item>
                    <list-item>
                        <p>The authors have made an excellent attempt to compute the actual economic (transactional) value of the the 
                            <italic>Gymnandrosoma aurantianum </italic>sex pheromone. Globally, in the determination of the broader public goods the overall discussion of &#x201c;how much is a pheromone worth?&#x201d; could be further enriched if the authors also discussed in greater detail its:</p>
                        <p> </p>
                        <p> a) Functional value? In terms of environmental ecosystem services provided in addition to economic value?</p>
                        <p> </p>
                        <p> b) Evolutionary value of sex pheromones? Maintenance of ecological balance though managed species populations?</p>
                    </list-item>
                </list> 
                <bold>Conclusion</bold>: The paper is sufficient for indexation, with minor revisions addressing the concerns above.</p>
            <p>Reviewer Expertise:</p>
            <p>NA</p>
            <p>We confirm that we have read this submission and believe that we have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.</p>
        </body>
        <sub-article article-type="response" id="comment2148-15333">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>Leal</surname>
                            <given-names>Walter</given-names>
                        </name>
                        <aff>UC Davis, USA</aff>
                    </contrib>
                </contrib-group>
                <author-notes>
                    <fn fn-type="conflict">
                        <p>
                            <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                    </fn>
                </author-notes>
                <pub-date pub-type="epub">
                    <day>20</day>
                    <month>8</month>
                    <year>2016</year>
                </pub-date>
            </front-stub>
            <body>
                <p>First of all, the authors would like to thank the reviewers for their time and effort to evaluate this submission. We are delighted to hear that the reviewers approved the publication. We appreciate the laudatory comments. Here we address point-by-point some issues raised by Dr. Baldwyn Torto (and Jimmy Pittchar):</p>
                <p> &#x00a0;4.1. In the calculation of the benefit-cost ratio of the initial investment, i.e. present value of losses avoided/total investment, the reviewer&#x2019;s considered opinion is that the prices paid for purchase of the traps and the initial amount invested in research to develop the technology (said to be US$50,000) may not adequately define total costs. The authors correctly mention they excluded labor and indirect intellectual investments &#x2013; which could be considerable. The&#x00a0;
                    <underline>cost of technology delivery</underline>&#x00a0;apart from initial research costs is often quite considerable. The authors should make an attempt to estimate these, although understandably these are a complex mix of quantifiable and qualitative values that are not easy to calibrate accurately.</p>
                <p> </p>
                <p> 
                    <italic>RESPONSE:&#x00a0;We agree that the initial amount invested in research to develop the technology does not necessarily represent the total costs of technology delivery. As the reviewer mentioned, these estimates are a complex mix of quantifiable and qualitative values that are difficult to be accurately calibrated. Future work will be required to estimate these values for a more precise adjustment. </italic>
                </p>
                <p> </p>
                <p> 4.2. In terms of costs avoided, it would also be instructive to attempt to compute all the previous direct and ancillary costs e.g. labor costs of the inspections that used to be performed before the traps became available, in addition to the directly attributed (avoided) costs of previous chemical control.</p>
                <p> </p>
                <p> 
                    <italic>RESPONSE: This is an interesting possibility and we agree with that, but unfortunately we did not recordthese data during the study period. Given the lack of reliable data we prefer not to speculate on these costs and rather focus on effective data.</italic>
                </p>
                <p> </p>
                <p> 4.3. Data on annual average yield is adequately treated. However,&#x00a0;
                    <bold>price calculations&#x00a0;</bold>are based on the average monthly price published by the Center for Advanced Studies on Applied Economics (Cepea) (Cepea, 2015), corresponding to the average amounts in US$ paid to citrus growers per box, on credit. In this calculation, price stability is assumed. The authors need to mention if they took account or how they treated supply Vs demand pressure on price, or any subjectively negotiated discounts on price?</p>
                <p> </p>
                <p> 
                    <italic>RESPONSE: The prices used in the analysis were the market mean values obtained throughout the study years, reflecting the supply and demand conditions for the product in each year (ie., we did not calculate an overall average for all the years, but rather the annual average of the prices in the market). This was possible because we performed an &#x2018;ex-post&#x2019; analysis and already knew the market equilibrium price for each year.</italic>
                </p>
                <p> </p>
                <p> The accuracy of monetary values is in part, but importantly, dependent on the accurate treatment of price data. On the pivotal question of price, the reviewer considered the following questions:</p>
                <p> - Is the average price decomposed into the different contributing variables?</p>
                <p> </p>
                <p> 
                    <italic>RESPONSE: The prices have not been estimated by econometric models. So, explanatory variables were not used to explain the prices behaviour. We worked with historical data to estimate the annual mean prices.</italic>
                </p>
                <p> </p>
                <p> - What were the relative contributions of each monetary variable to the aggregated components?</p>
                <p> </p>
                <p> 
                    <italic>RESPONSE: Please, see the previous answer.</italic>
                </p>
                <p> </p>
                <p> - What was the price elasticity?</p>
                <p> </p>
                <p> 
                    <italic>RESPONSE:</italic>
                    <italic> It has not been calculated.</italic>
                </p>
                <p> </p>
                <p> - to what extent did the assigned exchange rate affected the overall pricing?</p>
                <p> </p>
                <p> 
                    <italic>RESPONSE: The exchange rate was used to transform the Brazilian currency value (Real) into US currency (USD). We believe that the exchange rate used in this study did not affect directly the overall pricing.</italic>
                </p>
                <p> </p>
                <p> - how stable was the exchange rate over the entire reference period?</p>
                <p> </p>
                <p> 
                    <italic>RESPONSE: The exchange rate was used to obtain the value in US dollars (USD). We did not search the exchange rate for the study period or assessed the sensitivity exchange rate facing its variation. </italic>
                </p>
                <p> </p>
                <p> 4.4. In the overall analysis it would be good to capture the computation of price in an equation that shows the relative contribution of each monetary variable to the aggregated components since the monetary variables were derived from multiple independent (assumed non-synchronized) sources e.g. cepea), PTAX), etc.</p>
                <p> </p>
                <p> 
                    <italic>RESPONSE: We used observed market equilibrium prices, which were not based on econometric models.</italic>
                </p>
                <p> </p>
                <p> 4.5 Secondly, in transforming nominal price data into real values using the General Price Index &#x2013; Internal Availability (IGP-DI) the authors need to discuss the price elasticity and sensitivity to each contributing variable.</p>
                <p> </p>
                <p> 
                    <italic>RESPONSE: Considering the fact that Brazilian inflation rates are considered high, it is necessary to deflate them, because compared values can be compromised, i.e., it is necessary to remove inflation effect from the period in order to make the prices comparable. For low inflation countries, this methodology is unnecessary.</italic>
                </p>
                <p> </p>
                <p> 4.6 Thirdly, still on the question of pricing, monetary variables were updated to values applicable in June 2014, and the final month&#x2019;s PITAX exchange rate used. The authors need to demonstrate to what extent did the assigned exchange rate affected the overall pricing, and explain how stable the exchange rate had been for the entire reference period.</p>
                <p> </p>
                <p> 
                    <italic>RESPONSE: The exchange rate was used to obtain the value in US dollars (USD). We did not search the exchange rate for the study period or assessed the sensitivity exchange rate facing its variation.</italic>
                </p>
                <p> </p>
                <p> 5. The authors have made an excellent attempt to compute the actual economic (transactional) value of the the 
                    <italic>Gymnandrosoma </italic>
                    <italic>aurantianum&#x00a0;</italic>sex&#x00a0;pheromone. Globally, in the determination of the broader public goods the overall discussion of &#x201c;how much is a pheromone worth?&#x201d; could be further enriched if the authors also discussed in greater detail its:</p>
                <p> a) Functional value? In terms of environmental ecosystem services provided in addition to economic value?</p>
                <p> </p>
                <p> 
                    <italic>RESPONSE: </italic>
                    <italic>We agree that the functional value could add important information to our study. However, we consider difficult to measure economically these values in terms of 'ecosystem services'.</italic>
                </p>
                <p> </p>
                <p> b) Evolutionary value of&#x00a0;sex&#x00a0;pheromones? Maintenance of ecological balance though managed species populations?</p>
                <p> </p>
                <p> 
                    <italic>RESPONSE: We thank the referee for this insight. We agree, and believe that future studies should incorporate this relevant perspective.</italic>
                </p>
            </body>
        </sub-article>
        <sub-article article-type="response" id="comment2152-15333">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>Torto</surname>
                            <given-names>Baldwyn</given-names>
                        </name>
                        <aff>International Centre of Insect Physiology and Ecology, Kenya</aff>
                    </contrib>
                </contrib-group>
                <author-notes>
                    <fn fn-type="conflict">
                        <p>
                            <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                    </fn>
                </author-notes>
                <pub-date pub-type="epub">
                    <day>22</day>
                    <month>8</month>
                    <year>2016</year>
                </pub-date>
            </front-stub>
            <body>
                <p>I think the authors have done a very good job responding to all the queries we raised in our review of the article. Overall, it's a well researched study and well written.</p>
            </body>
        </sub-article>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report15137">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.9897.r15137</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Oehlschlager</surname>
                        <given-names>A. Cameron</given-names>
                    </name>
                    <xref ref-type="aff" rid="r15137a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <aff id="r15137a1">
                    <label>1</label>Chemtica International, Costa Rica, Heredia, Costa Rica</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>25</day>
                <month>7</month>
                <year>2016</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2016 Oehlschlager AC</copyright-statement>
                <copyright-year>2016</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport15137" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.9195.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>This paper analyzes the monetary benefits accruing to citrus growers adopting a 1 trap / 10 ha pheromone trap monitoring program for citrus fruit borer 
                <italic>Gymnamdrosoma aurantianum</italic> between 2001 and 2013.&#x00a0; The principle savings was in a&#x00a0; 50% reduction in insecticide application accompanied by significantly lower fruit damage. This is the first time the economic analysis of long term pheromone trap monitoring to better time insecticide application has been conducted.&#x00a0; Because manpower costs of monitoring and spraying are not included, and because spraying uses much more manpower than monitoring, the actual additional income to citrus growers using the monitoring program is very likely more than estimated in this paper. The information in this paper is of significant interest to managers of agricultural enterprises.</p>
            <p>Reviewer Expertise:</p>
            <p>NA</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.</p>
        </body>
    </sub-article>
</article>
