{"id":11822,"date":"2026-10-31T15:38:29","date_gmt":"2026-10-31T15:38:29","guid":{"rendered":"https:\/\/agri-research-journal.net\/SjarEn\/?p=11822"},"modified":"2026-10-31T15:38:29","modified_gmt":"2026-10-31T15:38:29","slug":"developing-a-pedotransfer-function-to-predict-available-phosphorus-in-greenhouse-soils-based-on-some-of-their-chemical-properties","status":"publish","type":"post","link":"https:\/\/agri-research-journal.net\/SjarEn\/?p=11822","title":{"rendered":"Developing a pedotransfer function to predict available phosphorus in greenhouse soils based on some of their chemical properties"},"content":{"rendered":"<p style=\"text-align: left;\"><span style=\"font-family: 'times new roman', times, serif;\">1 Scientific Agricultural Research Center of Tartous, General Commission for Scientific Agricultural Research \u2013 GCSAR, Tartous, Syria<\/span><br \/>\n<span style=\"font-family: 'times new roman', times, serif;\">(*Corresponding author: Dr. Ibrahim MUBARAK, Email: <a href=\"mailto:imubarak1976@gmail.com\">imubarak1976@gmail.com<\/a> Mob:0932328681).<\/span><\/p>\n<p style=\"text-align: center;\"><span style=\"font-family: 'times new roman', times, serif;\">Received: 12\/ 2\/ 2026\u00a0 \u00a0 \u00a0Accepted: 16\/ 5\/ 2026<\/span><\/p>\n<p><span style=\"font-family: 'Times New Roman', Times; font-size: 17px;\"><strong>Abstract:\u00a0<\/strong><\/span><\/p>\n<p style=\"text-align: justify;\"><span style=\"font-family: 'Times New Roman', Times; font-size: 17px;\">Soil available phosphorus (av.P, ppm) is often determined using laborious and costly laboratory methods. Therefore, this study aimed to develop a pedotransfer function (PTF) to predict av.P in greenhouse soils in Tartous, based on easily measurable chemical properties: soil pH, organic matter (OM, %), electrical conductivity (EC, dS m\u207b\u00b9), and available potassium (av.K, ppm). The study relied on a database containing 1158 soil samples, randomly divided into 80% for model calibration and 20% for independent validation. Multiple linear regression analysis revealed the optimal mathematical model as: <\/span><span style=\"font-family: 'times new roman', times, serif;\">av.P = 53.919 \u2013 7.059 (pH) + 1.254 (OM) + 3.651 (EC) + 0.017 (av.K) <\/span><span style=\"font-family: 'times new roman', times, serif;\">The model achieved high explanatory efficiency with a coefficient of determination (R2=0.838, p&lt;0.001), with a total absence of multicollinearity as the maximum variance inflation factor (VIF) reached only 1.54. Furthermore, both the t-test and the criteria of root mean square error (RMSE = 4.843) and mean absolute error (MAE = 3.817) in the validation data proved the model&#8217;s accuracy and lack of bias. The model reflects the chemical rules governing soil phosphorus dynamics, with a negative correlation with pH and positive correlations with the other properties driven by the intensive fertilization legacy. The study recommends adopting the model as a low-cost digital tool to support rational fertilization decision-making in greenhouses.<\/span><\/p>\n<p><span style=\"font-family: 'times new roman', times, serif;\"><strong>Keywords:<\/strong> Pedotransfer function, Available phosphorus, Multicollinearity, Greenhouse, Tartous.<\/span><\/p>\n<p><strong><span style=\"font-family: 'times new roman', times, serif;\">\u00a0Full paper in Arabic: <a href=\"http:\/\/agri-research-journal.net\/SjarEn\/wp-content\/uploads\/v13n5p19.pdf\">PDF<\/a><\/span><\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>1 Scientific Agricultural Research Center of Tartous, General Commission for Scientific Agricultural Research \u2013 GCSAR, Tartous, Syria (*Corresponding author: Dr. Ibrahim MUBARAK, Email: imubarak1976@gmail.com Mob:0932328681). Received: 12\/ 2\/ 2026\u00a0 \u00a0 \u00a0Accepted: 16\/ 5\/ 2026 Abstract:\u00a0 Soil available phosphorus (av.P, ppm) &hellip; <a href=\"https:\/\/agri-research-journal.net\/SjarEn\/?p=11822\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-11822","post","type-post","status-publish","format-standard","hentry","category-sjar"],"_links":{"self":[{"href":"https:\/\/agri-research-journal.net\/SjarEn\/index.php?rest_route=\/wp\/v2\/posts\/11822","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/agri-research-journal.net\/SjarEn\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/agri-research-journal.net\/SjarEn\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/agri-research-journal.net\/SjarEn\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/agri-research-journal.net\/SjarEn\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=11822"}],"version-history":[{"count":1,"href":"https:\/\/agri-research-journal.net\/SjarEn\/index.php?rest_route=\/wp\/v2\/posts\/11822\/revisions"}],"predecessor-version":[{"id":11824,"href":"https:\/\/agri-research-journal.net\/SjarEn\/index.php?rest_route=\/wp\/v2\/posts\/11822\/revisions\/11824"}],"wp:attachment":[{"href":"https:\/\/agri-research-journal.net\/SjarEn\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=11822"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/agri-research-journal.net\/SjarEn\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=11822"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/agri-research-journal.net\/SjarEn\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=11822"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}