<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1659-1321</journal-id>
<journal-title><![CDATA[Agronomía Mesoamericana]]></journal-title>
<abbrev-journal-title><![CDATA[Agron. Mesoam]]></abbrev-journal-title>
<issn>1659-1321</issn>
<publisher>
<publisher-name><![CDATA[Universidad de Costa Rica]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1659-13212019000200517</article-id>
<article-id pub-id-type="doi">10.15517/am.v30i2.33839</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Análisis de métodos estadísticos para evaluar el desempeño de modelos de simulación en cultivos hortícolas]]></article-title>
<article-title xml:lang="en"><![CDATA[Analysis of statistical methods to evaluate the performance of simulation models in horticultural crops]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Soto-Bravo]]></surname>
<given-names><![CDATA[Freddy]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[González-Lutz]]></surname>
<given-names><![CDATA[María Isabel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de Costa Rica  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Costa Rica</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad de Costa Rica  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Costa Rica</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>08</month>
<year>2019</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>08</month>
<year>2019</year>
</pub-date>
<volume>30</volume>
<numero>2</numero>
<fpage>517</fpage>
<lpage>534</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_arttext&amp;pid=S1659-13212019000200517&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_abstract&amp;pid=S1659-13212019000200517&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_pdf&amp;pid=S1659-13212019000200517&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Introducción. Todo modelo de simulación debe ser calibrado y validado, de lo contrario las conclusiones pueden ser especulativas y erróneas. Los métodos para evaluar modelos de simulación habitualmente se aplican &#8220;por costumbre&#8221;, evitando entrar en detalles metodológicos básicos, lo cual ha sido causa de que se utilice terminología y simbología que conllevan a la confusión. Objetivo. El objetivo del presente estudio fue analizar los diferentes métodos estadísticos utilizados para evaluar el desempeño de modelos de simulación en agricultura, y así proponer el método más apropiado desde el punto de vista práctico. Materiales y métodos. Se analizaron métodos estadísticos basados en el análisis de diferencias y en el análisis de regresión, entre valores medidos y simulados. El análisis de diferencias, incluyó la raíz cuadrada del error medio estándar (RMSE), el error medio absoluto (EMA), el error relativo (ER), el índice de ajuste (d), el sesgo medio del error (MBE) y la eficiencia del modelo (E). En el análisis de regresión se analizó el intercepto, los coeficientes de regresión lineal (b) y de determinación (R2), y los límites de confianza de la estimación. Resultados. El ER, el d y la E, son medidas cuyo objetivo es más la comparación entre diferentes modelos que la evaluación del desempeño de un modelo como tal. La raíz cuadrada del error medio usualmente utilizada para evaluar diferencias entre valores observados y simulados, es diferente al RMSE de una regresión. En los diferentes casos ilustrados con el modelo &#8220;Eurotate_N&#8221;, demostraron la correcta aplicación práctica del análisis de regresión como herramienta estadística para evaluar su capacidad para simular rendimiento de fruto, humedad volumétrica del suelo, evapotranspiración y materia seca del cultivo de tomate bajo invernadero. Conclusión. El método estadístico propuesto más apropiado para evaluar un modelo de simulación en tomate fue el análisis de regresión.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Introduction. Every simulation model must be calibrated and validated, in order to avoid speculative and inaccurate conclusions. The methods to evaluate simulation models are usually applied &#8220;by habit&#8221;, without specifying basic methodological details which leads to the use of terminology and symbology that could cause confusion. Objective. The objective in the present study was to analyze the different statistical methods employed to evaluate the performance of simulation models in agriculture, and thus propose which is the most suitable from the practical point of view. Materials and Methods. Statistical methods based on difference and regression analysis, between measured and simulated values were analyzed. Regarding the difference analysis group, the used methods were root mean square error (RMSE), mean absolute error (MAE), relative error (RE), adjustment index (d), me bianas error (MBE) and the model efficiency (E). In the case of the regression analysis the intercept, linear regression (b) and determination (R2) coefficients, and the estimation confidence limits were scrutinize. Results. The ER, d and E, are measures which objective is the comparison between different models to simulate a given variable, instead of evaluating the performance of the model as such. The root square mean error usually used to evaluate differences between observed and simulated values is different from the RMSE regression. The different cases illustrated with the &#8220;Eurotate_N&#8221; model demonstrated the apropriate practical application of the regression analysis as statistical tool to evaluate its capacity to simulate fruit yield, volumetric soil moisture, evapotranspiration and dry matter in tomato crop under greenhouse. Conclusion. The most appropriate statistical method proposed to evaluate a simulation model in tomato was the regression analysis.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[evaluación estadística]]></kwd>
<kwd lng="es"><![CDATA[modelación de los cultivos]]></kwd>
<kwd lng="es"><![CDATA[regresión lineal]]></kwd>
<kwd lng="es"><![CDATA[análisis de diferencias]]></kwd>
<kwd lng="en"><![CDATA[statistical evaluation]]></kwd>
<kwd lng="en"><![CDATA[crop modelling]]></kwd>
<kwd lng="en"><![CDATA[linear regression]]></kwd>
<kwd lng="en"><![CDATA[analysis of differences]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cannavo]]></surname>
<given-names><![CDATA[P.R.]]></given-names>
</name>
<name>
<surname><![CDATA[Parnaudeau]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Reau]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Modeling N dynamics to assess enviromental impacts of cropped soils]]></article-title>
<source><![CDATA[Adv. Agron.]]></source>
<year>2008</year>
<volume>97</volume>
<page-range>131-74</page-range></nlm-citation>
</ref>
<ref id="B2">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Doltra]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Muñoz]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Simulation of nitrogen leaching from a fertigated crop rotation in a Mediterranean climate using the EU-Rotate_N and Hydrus-2D models]]></article-title>
<source><![CDATA[Agric. Water Manag.]]></source>
<year>2010</year>
<volume>97</volume>
<page-range>277-85</page-range></nlm-citation>
</ref>
<ref id="B3">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Draper]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Smith]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<source><![CDATA[Applied regression analysis]]></source>
<year>1998</year>
<edition>3</edition>
<publisher-loc><![CDATA[NY, USA ]]></publisher-loc>
<publisher-name><![CDATA[Wiley Interscience]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B4">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Fernández]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Orgaz]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Fereres]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[López]]></surname>
<given-names><![CDATA[J.C.]]></given-names>
</name>
<name>
<surname><![CDATA[Céspedes]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Pérez]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Bonachela]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Gallardo]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<source><![CDATA[Programación del riego de cultivos hortícolas bajo invernadero en el sudeste español]]></source>
<year>2001</year>
<publisher-loc><![CDATA[Almería, ES ]]></publisher-loc>
<publisher-name><![CDATA[Caja Rural]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B5">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Flavelle]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A quantitative measure of model validation and its potential use for regulatory purpose]]></article-title>
<source><![CDATA[Adv. Water Resour.]]></source>
<year>1992</year>
<volume>15</volume>
<page-range>5-13</page-range></nlm-citation>
</ref>
<ref id="B6">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Fox]]></surname>
<given-names><![CDATA[D.G.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Judging air quality model performance: A summary of the AMS workshop on dispersion model performance]]></article-title>
<source><![CDATA[Bull. Am. Meteorol. Soc.]]></source>
<year>1981</year>
<volume>62</volume>
<page-range>599-609</page-range></nlm-citation>
</ref>
<ref id="B7">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Galloway]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Dentener]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Capone]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Boyer]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Howarth]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Seitzinger]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Asner]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Cleveland]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Green]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Holland]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Karl]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Michaels]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Porter]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Townsend]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Voromarty]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The global nitrogen cycle: Past, present and future]]></article-title>
<source><![CDATA[Biogeochemistry]]></source>
<year>2004</year>
<volume>70</volume>
<page-range>153-226</page-range></nlm-citation>
</ref>
<ref id="B8">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Guo]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Nendel]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Rahn]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Jiang]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Chen.]]></surname>
<given-names><![CDATA[Q.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Tracking nitrogen losses in a greenhouse crop rotation experiment in North China using the EU-Rotate_N simulation model.]]></article-title>
<source><![CDATA[Environ. Pollut.]]></source>
<year>2010</year>
<volume>158</volume>
<page-range>2218-29</page-range></nlm-citation>
</ref>
<ref id="B9">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mayer]]></surname>
<given-names><![CDATA[D.G.]]></given-names>
</name>
<name>
<surname><![CDATA[Stuart]]></surname>
<given-names><![CDATA[M.A.]]></given-names>
</name>
<name>
<surname><![CDATA[Swain]]></surname>
<given-names><![CDATA[A.J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Regression of real word data on model output: an appropiate overall test of validity]]></article-title>
<source><![CDATA[Agric. Syst.]]></source>
<year>1994</year>
<volume>45</volume>
<page-range>93-104</page-range></nlm-citation>
</ref>
<ref id="B10">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Meinke]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Struik]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Vos]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Van-der-Werf]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Modelling that bridges scales and connects disciplines]]></article-title>
<source><![CDATA[40 years theory and model at Wageningen UR]]></source>
<year>2008</year>
<page-range>37</page-range><publisher-loc><![CDATA[Wageningen, NED. ]]></publisher-loc>
<publisher-name><![CDATA[Wageningen University, and Research Centre]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B11">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mendenhall]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Scheaffer]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Wackerly]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
</person-group>
<source><![CDATA[Estadística matemática con aplicaciones]]></source>
<year>1986</year>
<edition>2</edition>
<publisher-loc><![CDATA[Andalucía, ESP. ]]></publisher-loc>
<publisher-name><![CDATA[Grupo Editorial Iberoamérica]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B12">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Nash]]></surname>
<given-names><![CDATA[J.E.]]></given-names>
</name>
<name>
<surname><![CDATA[Sutcliffe]]></surname>
<given-names><![CDATA[J.V.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[River Flow forecasting through conceptual models. Part I-A discussion of principles]]></article-title>
<source><![CDATA[J. Hydrol.]]></source>
<year>1970</year>
<volume>10</volume>
<page-range>282-90</page-range></nlm-citation>
</ref>
<ref id="B13">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rahn]]></surname>
<given-names><![CDATA[C.R.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Lillywhite]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Ramos]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Doltra]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[de-Paz]]></surname>
<given-names><![CDATA[J.M.]]></given-names>
</name>
<name>
<surname><![CDATA[Riley]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Riley]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Fink]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Nendel]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Thorup-Kristense]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Pedersen]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Piro]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Venezia]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Firth]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Schmutz]]></surname>
<given-names><![CDATA[U.]]></given-names>
</name>
<name>
<surname><![CDATA[Rayns]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Strohmeyer]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Eu-Rotate_N - a decision support system - to predict environmental and economic consequences of the management of nitrogen fertiliser in crop rotations]]></article-title>
<source><![CDATA[Europ. J. Hort. Sci.]]></source>
<year>2010</year>
<volume>75</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>20-32</page-range></nlm-citation>
</ref>
<ref id="B14">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Reckhow]]></surname>
<given-names><![CDATA[K.H.]]></given-names>
</name>
<name>
<surname><![CDATA[Clements]]></surname>
<given-names><![CDATA[J.T.]]></given-names>
</name>
<name>
<surname><![CDATA[Dodds]]></surname>
<given-names><![CDATA[R.C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Statistical evaluation of mechanistic water-quality models]]></article-title>
<source><![CDATA[J. Environ. Eng.]]></source>
<year>1990</year>
<volume>116</volume>
<page-range>250-68</page-range></nlm-citation>
</ref>
<ref id="B15">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Soto]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Gallardo]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Giménez]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Peña-Fleitas]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Thompson]]></surname>
<given-names><![CDATA[R.B.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Simulation of tomato growth, water and N dynamics using the EU-Rotate_N model in Mediterranean greenhouses with drip irrigation and fertigation]]></article-title>
<source><![CDATA[Agric. Water Manag.]]></source>
<year>2014</year>
<volume>132</volume>
<page-range>46-59</page-range></nlm-citation>
</ref>
<ref id="B16">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Stockle]]></surname>
<given-names><![CDATA[C.O.]]></given-names>
</name>
<name>
<surname><![CDATA[Kjelgaard]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Bellocchi]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Evaluation of estimated weather data for calculating Penman-Monteith reference crop evapotranspiration]]></article-title>
<source><![CDATA[Irrig. Sci.]]></source>
<year>2004</year>
<volume>23</volume>
<page-range>39-46</page-range></nlm-citation>
</ref>
<ref id="B17">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Sun]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Hu]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Jiang]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Xu]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Simulation of nitrogen fate for greenhouse cucumber grown under different water and fertilizer management usingthe EU-Rotate N model.]]></article-title>
<source><![CDATA[Agric. Water Manag.]]></source>
<year>2012</year>
<volume>112</volume>
<page-range>21-32</page-range></nlm-citation>
</ref>
<ref id="B18">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Thornley]]></surname>
<given-names><![CDATA[J.H.]]></given-names>
</name>
<name>
<surname><![CDATA[Johnson]]></surname>
<given-names><![CDATA[I.M.]]></given-names>
</name>
</person-group>
<source><![CDATA[Plant and crop modelling: A mathematical approach to plant and crop physiology.]]></source>
<year>2000</year>
<publisher-loc><![CDATA[NJ, USA. ]]></publisher-loc>
<publisher-name><![CDATA[The Blackburn Press]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B19">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Tilman]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Cassman]]></surname>
<given-names><![CDATA[K.G.]]></given-names>
</name>
<name>
<surname><![CDATA[Matson]]></surname>
<given-names><![CDATA[P.A.]]></given-names>
</name>
<name>
<surname><![CDATA[Naylor]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Polasky]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Agricultural sustainability and intensive production practices]]></article-title>
<source><![CDATA[Nature]]></source>
<year>2002</year>
<volume>418</volume>
<page-range>671-7</page-range></nlm-citation>
</ref>
<ref id="B20">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Willmott]]></surname>
<given-names><![CDATA[C.J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Some comments on the evaluation of model performance]]></article-title>
<source><![CDATA[Bull. Am. Meteorol. Soc.]]></source>
<year>1982</year>
<volume>63</volume>
<page-range>1309-13</page-range></nlm-citation>
</ref>
<ref id="B21">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Greenwood]]></surname>
<given-names><![CDATA[D.J.]]></given-names>
</name>
<name>
<surname><![CDATA[Rowell]]></surname>
<given-names><![CDATA[D.L.]]></given-names>
</name>
<name>
<surname><![CDATA[Wadsworth]]></surname>
<given-names><![CDATA[G.A.]]></given-names>
</name>
<name>
<surname><![CDATA[Burns]]></surname>
<given-names><![CDATA[I.G.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Statistical methods for evaluating a crop nitrogen simulation model, N_ABLE]]></article-title>
<source><![CDATA[Agric. Syst.]]></source>
<year>2000</year>
<volume>64</volume>
<page-range>37-53</page-range></nlm-citation>
</ref>
<ref id="B22">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[J.M.]]></given-names>
</name>
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[J.Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Hoogenboom]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[An evaluation of the statistical methods for testing the performance of crop models with observed data]]></article-title>
<source><![CDATA[Agric. Syst.]]></source>
<year>2014</year>
<volume>127</volume>
<page-range>81-9</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
