{"id":367,"date":"2020-07-09T17:50:36","date_gmt":"2020-07-09T17:50:36","guid":{"rendered":"http:\/\/sites.rutgers.edu\/chou-lab\/?page_id=367"},"modified":"2026-03-11T01:17:53","modified_gmt":"2026-03-11T01:17:53","slug":"resources","status":"publish","type":"page","link":"https:\/\/sites.rutgers.edu\/chou-lab\/resources\/","title":{"rendered":"Resources"},"content":{"rendered":"<h3>Useful tools to help you manage turfgrass diseases<\/h3>\n<h5>Disease predictive models<\/h5>\n<p><a href=\"https:\/\/www.greencastonline.com\/dollar-spot-solutions\">Dollar spot using zip code<\/a> (US)<br \/>\n(by Syngenta)<\/p>\n<p><a href=\"https:\/\/tdl.wisc.edu\/dollar-spot-model\/\">Dollar spot using your local weather station<\/a><br \/>\n(by UW-Madison) &#8211; under &#8220;How can you use the model?&#8221; section<\/p>\n<p><a href=\"https:\/\/www.greencast.ca\/weather\">Multiple-disease risk index<\/a> (Canada)<br \/>\n(by Syngenta)<\/p>\n<p><a href=\"https:\/\/turf.eas.cornell.edu\/\">Multiple disease models for the Northeast<\/a><br \/>\n(by Cornell University) &#8211; anthracnose, dollar spot, brown patch, pythium &#8211; under &#8220;disease\/stress risk&#8221; tab<\/p>\n<h5>Soil temperature map<\/h5>\n<p><a href=\"https:\/\/www.greencastonline.com\/tools\/soil-temperature\">Using zip code (US)<\/a><br \/>\n(by Syngenta) &#8211; perfect to time your root disease applications<\/p>\n<p><a href=\"https:\/\/soiltemperature.app\/\">Predicted global soil temperature by city<\/a><br \/>\n(by Soil Temperature App)<\/p>\n<h5>Fungicide efficacy rating<\/h5>\n<p><a href=\"https:\/\/turfpests.wisc.edu\/\">Web-based<\/a><br \/>\n(by UW-Madison) &#8211; mostly 2020 or earlier information<\/p>\n<p><a href=\"https:\/\/publications.ca.uky.edu\/files\/PPA1.pdf\">PDF version<\/a><br \/>\n(by Rutgers, UKY, and UW-Madison) &#8211; 2024 updated information<\/p>\n<h5>Turfgrass species and cultivar evaluation<\/h5>\n<p><a href=\"https:\/\/maps.umn.edu\/ntep\/\">NTEP &#8211; turfgrass trial explorer<\/a><\/p>\n<p><a href=\"https:\/\/turf.rutgers.edu\/research\/proceedings\/\">Rutgers proceedings<\/a><br \/>\n(by Rutgers University Center for Turfgrass Science) &#8211; New Jersey specific results<\/p>\n<h5>Environmental Impact Quotient (EIQ) calculator<\/h5>\n<p><a href=\"https:\/\/cals.cornell.edu\/new-york-state-integrated-pest-management\/risk-assessment\/eiq\/eiq-calculator\">Calculate pesticide EIQ now<\/a><br \/>\n(by Cornell University)<\/p>\n<h5>Rutgers Plant Diagnostic Laboratory<\/h5>\n<p><a href=\"https:\/\/extension.rutgers.edu\/plant-diagnostic-lab\">Test disease and more<\/a><\/p>\n<h5>Rutgers Soil testing Laboratory<\/h5>\n<p><a href=\"https:\/\/extension.rutgers.edu\/soil-testing-lab\">Test soil fertility and more<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Useful tools to help you manage turfgrass diseases Disease predictive models Dollar spot using zip code (US) (by Syngenta) Dollar spot using your local weather station (by UW-Madison) &#8211; under &hellip; <a href=\"https:\/\/sites.rutgers.edu\/chou-lab\/resources\/\" class=\"\">Read More<\/a><\/p>\n","protected":false},"author":21,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-367","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Resources - Rutgers Turfgrass Pathology Laboratory - Chou Lab<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sites.rutgers.edu\/chou-lab\/resources\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Resources - Rutgers Turfgrass Pathology Laboratory - Chou Lab\" \/>\n<meta property=\"og:description\" content=\"Useful tools to help you manage turfgrass diseases Disease predictive models Dollar spot using zip code (US) (by Syngenta) Dollar spot using your local weather station (by UW-Madison) &#8211; 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