Geographic Information System Based Soil Fertility Mapping in Lambunao, Iloilo, Philippines

Geographic Information System Based Soil Fertility Mapping in Lambunao, Iloilo, Philippines | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Geographic Information System Based Soil Fertility Mapping in Lambunao, Iloilo, Philippines Kit Oliver Premarion, Greta Gabinete, Leonie Consabo, Maria Lea Lebuna This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5260783/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This study was conducted in the top ten rice-producing barangays of Lambunao to evaluate the soil health of rice fields using Geographic Information System (GIS) based soil fertility mapping. A total of 73.47 hectares of rice fields were collected and to determined soil pH levels, organic matter, available Phosphorus, and available Potassium. The findings indicated a strongly acidic to moderately acidic soil condition across the areas, with pH values ranging from 4.75 in Pasig to 5.84 in Cunarom areas. Organic matter content varied between 2.12% in Pasig and 3.56% in Cunarom rice fields. Available phosphorus was not detected in four Barangays; otherwise, it ranged from 9.87 ppm in Bonbon to 11.73 ppm in Maribong. Available potassium showed the lowest at 206.11 ppm in Pasig farm and the highest at 653.18 ppm in Pajo area. These results led to the creation of a GIS map to visually represent the soil fertility in the studied areas and fertilizer recommendations were given to maintain the rice fields sustainably. This research represents a significant step forward in understanding and managing soil resources, contributing to environmental sustainability and food security. fertilizer recommendation Geographic Information Sytem organic matter soil fertility mapping soil pH Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-5260783","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":380255421,"identity":"badb6d0e-e31d-4787-a030-63f987494747","order_by":0,"name":"Kit Oliver Premarion","email":"","orcid":"","institution":"West Visayas State University-College of Agriculture and Forestry Lambunao","correspondingAuthor":false,"prefix":"","firstName":"Kit","middleName":"Oliver","lastName":"Premarion","suffix":""},{"id":380255423,"identity":"569abdb3-f418-4a65-9eaf-f07db2cbb3a6","order_by":1,"name":"Greta Gabinete","email":"","orcid":"","institution":"West Visayas State University-College of Agriculture and Forestry Lambunao","correspondingAuthor":false,"prefix":"","firstName":"Greta","middleName":"","lastName":"Gabinete","suffix":""},{"id":380255424,"identity":"602c58c7-9758-4371-a1aa-0a9774f16a92","order_by":2,"name":"Leonie Consabo","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABCklEQVRIiWNgGAWjYBACPhCRAGGzMTBUQIV5gNgAhxY2VC1niNUCZzO2EaOFvfnYgwcVdnLm/IefPfg473Di/BkJjA/etjHkmePSwnMs3SDhTLKx5Yw0c8OZ2w4nbriRwGw4t42h2LIBhxaJHDOJxLYDQJUMZtK8224bG0gksEnztjEkbjiAQ4v8G6CWf0At549/k+adc9tYfkYC+2+8WiR4gFoagFoO5ABtabgtx3AjgY0ZrxaetDSJhGPJxgY3csoNZxz7L2dw5mGz5JxzEsUGOLTwsx8+Jvmjxk7O4PzxbQ8+1KTxyLcnH/zwpswmD5cWbICxAUhIJBCvAQbI0DIKRsEoGAXDFAAAz61agRZn2t8AAAAASUVORK5CYII=","orcid":"","institution":"West Visayas State University-College of Agriculture and Forestry Lambunao","correspondingAuthor":true,"prefix":"","firstName":"Leonie","middleName":"","lastName":"Consabo","suffix":""},{"id":380255426,"identity":"6d7fabd7-de13-453e-bbff-de4f7fd0fc86","order_by":3,"name":"Maria Lea Lebuna","email":"","orcid":"","institution":"West Visayas State University-College of Agriculture and Forestry Lambunao","correspondingAuthor":false,"prefix":"","firstName":"Maria","middleName":"Lea","lastName":"Lebuna","suffix":""}],"badges":[],"createdAt":"2024-10-14 11:38:20","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-5260783/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5260783/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":85314677,"identity":"18306fc0-60ba-4bc5-be8a-e5fa731c4bf6","added_by":"auto","created_at":"2025-06-24 14:17:15","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":3771287,"visible":true,"origin":"","legend":"","description":"","filename":"RevisedManuscriptonSoilFertiliyMapping.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5260783/v1_covered_e334d3c4-b50f-48e1-bb30-a0a3f002cb2a.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"\u003cp\u003eGeographic Information System Based Soil Fertility Mapping in Lambunao, Iloilo, Philippines\u003c/p\u003e","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"fertilizer recommendation, Geographic Information Sytem, organic matter, soil fertility mapping, soil pH","lastPublishedDoi":"10.21203/rs.3.rs-5260783/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5260783/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis study was conducted in the top ten rice-producing barangays of Lambunao to evaluate the soil health of rice fields using Geographic Information System (GIS) based soil fertility mapping. 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