Journal of Plant Nutrition and Soil Science最新文献

{"title":"Issue Information: J. Plant Nutr. Soil Sci. 4/2025","authors":"","doi":"10.1002/jpln.70006","DOIUrl":"https://doi.org/10.1002/jpln.70006","url":null,"abstract":"","PeriodicalId":16802,"journal":{"name":"Journal of Plant Nutrition and Soil Science","volume":"188 4","pages":"547-548"},"PeriodicalIF":2.8,"publicationDate":"2025-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jpln.70006","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144782635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Contents: J. Plant Nutr. Soil Sci. 4/2025","authors":"","doi":"10.1002/jpln.70011","DOIUrl":"https://doi.org/10.1002/jpln.70011","url":null,"abstract":"","PeriodicalId":16802,"journal":{"name":"Journal of Plant Nutrition and Soil Science","volume":"188 4","pages":""},"PeriodicalIF":2.8,"publicationDate":"2025-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jpln.70011","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144782634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cover Picture: J. Plant Nutr. Soil Sci. 4/2025","authors":"","doi":"10.1002/jpln.70007","DOIUrl":"https://doi.org/10.1002/jpln.70007","url":null,"abstract":"<p>\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":16802,"journal":{"name":"Journal of Plant Nutrition and Soil Science","volume":"188 4","pages":""},"PeriodicalIF":2.8,"publicationDate":"2025-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jpln.70007","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144782633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Changes in Clay Mineral Composition and Soil Potassium Pools Under 50 Years of Soybean–Wheat Cropping in an Alfisol","authors":"Harshit Aman,&nbsp;Amlan Kumar Ghosh,&nbsp;Dibyajyoti Panda,&nbsp;Chandni Pradhan,&nbsp;Prabhakar Mahapatra,&nbsp;Ranjan Paul,&nbsp;Gopal Tiwari","doi":"10.1002/jpln.12023","DOIUrl":"https://doi.org/10.1002/jpln.12023","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Potassium fertilizers are imported in India, and hence, potassium fertilization is a costly input. Resource poor cultivators variably use potassium fertilization for crop production which disturbs potassium dynamics in soil impacting soil health.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Aim</h3>\u0000 \u0000 <p>A long-term negative potassium balance in the cropping system can result in the release of potassium from the non-exchangeable pool, ultimately resulting in changes in clay mineralogy, amounting to chemical degradation of soil.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Method</h3>\u0000 \u0000 <p>Soils from a long-term soybean–wheat cropping system receiving variable amounts of potassium fertilizers, which was in the 50th cropping cycle, were used to investigate the potassium pools and clay mineralogy.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Result</h3>\u0000 \u0000 <p>There was considerable reduction in yield both in control (78.7%) and 100% NP treatments (15.95%). The negative K balance followed the order 100% NP &gt; 100% NPK &gt; 50% NPK &gt; 150% NPK. To meet the potassium requirement and negative potassium balances, potassium was being released from interlayers resulting in the annual loss of non-exchangeable K up to 2.42, 1.06, 0.74, and 1.34 kg ha⁻¹ year⁻¹ under 100% NP, Control, 50% NPK, and 100% NPK, respectively. The 100% NP treatment showed the smallest intensity of illite followed by 100% NPK, 50% NPK, Control, and 150% NPK. The illite intensity was reduced by 41.6%, 11.7%, 8.49%, and 1.6% in the 100% NP, 100% NPK, 50% NPK, and Control treatments, respectively, compared to 150% NPK.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>The correlation studies revealed a positive association between negative balance, non-exchangeable K, and illite, supporting the hypothesis that a reduction in non-exchangeable K under negative K balances results in alterations in the clay mineralogical composition.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16802,"journal":{"name":"Journal of Plant Nutrition and Soil Science","volume":"188 4","pages":"712-722"},"PeriodicalIF":2.8,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144782819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Contribution to the HiStory Series in Plant Nutrition","authors":"Wolfgang Böhm,&nbsp;Alexander H. Wissemeier","doi":"10.1002/jpln.12019","DOIUrl":"https://doi.org/10.1002/jpln.12019","url":null,"abstract":"<p>After Justus von Liebig had largely recognized the necessity of nitrogen fertilization to achieve high yields from 1862 onwards, the question of why legumes are particularly beneficial for crop rotation remained unanswered. Schultz-Lupitz (1831–1899), who convincingly proved the preceding crop effect of legumes for cereals as a subsequent crop in his fertilization system, assumed that legumes, in contrast to cereals, can absorb nitrogen from deeper soil layers. The debate led to numerous experiments, ultimately leading to the discovery by Hermann Hellriegel (1831–1985) that legumes can fix atmospheric nitrogen with the help of nodule bacteria. He conducted comparative container experiments with legumes and cereals under sterile and non-sterile conditions with soil extracts. This represented a scientific breakthrough, which Hellriegel presented for the first time in 1886 at the meeting of the Gesellschaft Deutscher Naturforscher und Aerzte (Society of German Naturalists and Physicians) in Berlin and published in detail together with Wilfarth in 1888. This scientifically substantiated the practical value of legumes in crop rotations, which was already empirical knowledge of Roman agricultural authors.</p>","PeriodicalId":16802,"journal":{"name":"Journal of Plant Nutrition and Soil Science","volume":"188 4","pages":"585-592"},"PeriodicalIF":2.8,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jpln.12019","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144782399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Theoretical and Methodological Framework for Monitoring Feedback Mechanisms Among Soil Moisture Dynamics, Soil Organic Matter and Deadwood in Forests","authors":"Stefan Julich,&nbsp;Alina Azekenova,&nbsp;Patrick Wordell-Dietrich,&nbsp;Robin Schäfferling,&nbsp;Alexandra Koller,&nbsp;Britt Kniesel,&nbsp;Peter Petrik,&nbsp;Gabriela Fontenla-Razzetto,&nbsp;Lili Zeh,&nbsp;Karl-Heinz Feger,&nbsp;Goddert von Oheimb,&nbsp;Karsten Kalbitz","doi":"10.1002/jpln.12008","DOIUrl":"https://doi.org/10.1002/jpln.12008","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Deadwood in forests may counteract climate change by enhancing water and carbon cycle. Feedback mechanisms and long-term impacts are yet to be uncovered.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Aims</h3>\u0000 \u0000 <p>This study established a comprehensive monitoring system to assess the interactions among soil moisture dynamics, soil organic matter, and coarse woody debris (CWD).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We conducted a literature review of the current state of the art in measuring and monitoring the various elements of the water and carbon cycles in forest stands as a basis for developing a model setup for an integrated monitoring system. A near-natural beech forest was used as an example.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>There is a lack of systems that integrate water and carbon cycles of forest stands so feedback mechanisms could not be detected. In addition, few studies consider the effects of variability of water and carbon fluxes, which are necessary to determine the effects of deadwood on ecosystem functions.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Hence, we developed a setup which provides a novel, integrated approach to monitoring forest ecosystem processes, focusing on the critical role of deadwood. This framework enables the assessment of feedback mechanisms between hydrological and biogeochemical cycles, providing valuable insights for climate-resilient forest management.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16802,"journal":{"name":"Journal of Plant Nutrition and Soil Science","volume":"188 4","pages":"554-569"},"PeriodicalIF":2.8,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144782193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of Hydrolyzed Keratin Derived From Waste Sheep Wool on Growth Regulation and Nitrate Accumulation in Lettuce Grown Under Various LED Lighting Conditions","authors":"Ozge Sahin,&nbsp;Gamze Cakirer Seyrek,&nbsp;Nevin Kocak,&nbsp;Koksal Demir,&nbsp;Aydin Gunes","doi":"10.1002/jpln.12021","DOIUrl":"https://doi.org/10.1002/jpln.12021","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Nitrate accumulation in leafy vegetables poses health risks for humans.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Aims</h3>\u0000 \u0000 <p>The effect of hydrolyzed keratin (HK) on the development of lettuce grown under natural and various LED light sources, as well as its impact on reducing nitrate accumulation, was investigated in hydroponic systems.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>HK was obtained from sheep wool, and its structural and molecular properties were determined using scanning electron microscopy (SEM) and confocal Raman spectroscopy. The plants were grown in a cocopeat. The light sources used in the experiment included Blue, Blue + Far-red, Red, Red + Blue, Red + Far-red, Red + Blue + Far-red, White, and natural light (NL), with HK concentrations in the nutrient solution set at 0, 25, and 50 mg N L⁻¹ for the plants grown under these conditions.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>According to the results obtained from the research, the best plant growth and the highest nitrate accumulation were observed in plants grown under NL conditions. Among the LED light sources, the most ideal treatments for high yield and low nitrate accumulation were those with Red and Red + Blue + Far-red. The most significant outcome of this study was that the addition of HK to the nutrient solution led to a significant reduction in nitrate concentrations in the lettuce plants across all treatments except for the blue light source. The addition of HK to the nutrient solution decreased nitrate in most light treatments, highlighting its potential as a valuable additive in controlled agriculture.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>These findings emphasize the potential to optimize light conditions and nutrient formulations to enhance plant health and safety in indoor cultivation.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16802,"journal":{"name":"Journal of Plant Nutrition and Soil Science","volume":"188 4","pages":"702-711"},"PeriodicalIF":2.8,"publicationDate":"2025-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jpln.12021","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144782557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Humus on the Rocks—Water Storage Capacity of Tangelhumus is Essential for Water Retention in Limestone Mountains","authors":"Axel Göttlein,&nbsp;Michael Kohlpaintner","doi":"10.1002/jpln.12022","DOIUrl":"https://doi.org/10.1002/jpln.12022","url":null,"abstract":"<p>Rock-humus soils are found primarily in mountainous areas, where they are an important part of the soil landscape. Since they often only occur in small areas, their importance is frequently underestimated on large-scale maps. For example, this soil class is not shown at all on the 1:1,000,000 scale soil map of Europe (Panagos <span>2006</span>), not even in mountainous regions. This is despite the fact that in the Bavarian Alps, rock-humus soils account for around 10% of the landscape (Olleck et al. <span>2021</span>; cf. Figure 1). In the Polish part of the Tatra Mountains, a proportion of approximately 3.5% has been reported (Stolarczyk et al. <span>2024</span>). In addition, the pedological classification of rock-humus soils is not straightforward. In the WRB classification system, they are largely classified as Folic Histosols, but can also be found within the group of Leptosols (Leitgeb et al. <span>2013</span>). National classification systems often vary considerably in how they categorise these soils. In Bavaria, for example, they can be found under the designations Felshumusböden (rock-humus soil) and O/C-Böden (O/C soil; O for organic, C for parent material of soil development) (LfU <span>2017</span>). What all rock-humus soils have in common is that their ecology is determined exclusively by the humus layer. It serves as the only rooting zone, nutrient store and water store. If the humus layer disappears, bare rock remains. Due to their unique formation conditions, the properties of the humus layers over rock differ significantly from those of typical humus layers of mineral soils. For this reason, they are classified in a separate humus class, which is widely referred to as Tangelhumus (Kolb and Göttlein <span>2021</span>). In the Bavarian Alps, Tangel-humus preferentially forms over solid or coarse carbonate rocks with low residual clay content and can reach a thickness of more than 100 cm. It is mainly found in the montane to subalpine zone of the Limestone Alps, where a cool and humid climate favours the accumulation of organic matter (Kolb and Kohlpaintner <span>2018</span>). However, such humus layers can be found not only on calcareous but also on acidic bedrock, showing expected differences in pH and cation composition at the contact zone with the respective bedrock (Kolb and Göttlein <span>2022</span>; Stolarczyk et al. <span>2024</span>). In addition to chemical properties, understanding the water storage capacity of Tangelhumus is crucial, both for estimating the water supply of the trees and for assessing the landscape water regimes. Extensive tables are available for the water storage capacity of mineral soil horizons, differentiated by texture, bulk density and humus content (AK Standortskartierung <span>2016</span>). However, such values are not available for Tangelhumus horizons. Therefore, pF curves were derived for Tangelhumus horizons of the Bavarian Limestone Alps, which allowing for quantification of the storage ","PeriodicalId":16802,"journal":{"name":"Journal of Plant Nutrition and Soil Science","volume":"188 4","pages":"549-553"},"PeriodicalIF":2.8,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jpln.12022","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144782447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Genotypic Variability in Root System Architecture and Its Association With Fe and Zn Biofortification in Wheat (Triticum aestivum L.)","authors":"Hafsa,&nbsp;Aysha Kiran,&nbsp;Abdul Wakeel,&nbsp;Farooq Ahmad","doi":"10.1002/jpln.12020","DOIUrl":"https://doi.org/10.1002/jpln.12020","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Wheat has an inherently low concentration of Fe and Zn; therefore, enhancing their concentrations in grains has become vital to mitigate micronutrient malnutrition in many developing countries through biofortification strategies.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Aims</h3>\u0000 \u0000 <p>This study aims to explore variability in root architectural traits and their roles in Fe and Zn uptake leading to its accumulation in grains.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A rhizobox-based experiment was conducted to evaluate the effect of Fe- and Zn-deficient and -sufficient conditions on wheat root system architecture (RSA). Four treatments of Fe and Zn fertilizer combinations with four replications were used in these experiments (without Fe and Zn, with Zn and without Fe, without Zn and with Fe, and with Fe and Zn). Further, in a pot experiment, physiological attributes, growth, yield, and uptake of Fe and Zn were determined in the selected eight wheat varieties based on rhizobox trial results.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Significant genotypic variability was noted in RSA traits of wheat genotypes, and some interesting correlations have been identified. Zinc-efficient varieties Zincol-16 and Akbar-19 revealed better RSA traits like enhanced root diameter, lateral root density, and root length as compared to inefficient varieties like Ujala-16 and TD-1. The Zincol-16 articulated maximum improvement in grain Fe and Zn content, that is, 53.9 mg Fe kg⁻¹ concentration in the treatment with soil Fe application and 33.18 mg Zn kg⁻¹ found in treatment with soil application of Zn. Yield attributes were significantly improved by the combined application of Fe and Zn, as the pot experiment showed that maximum thousand-grain weight (47.3 g) and grain yield (12.4 g per pot) were found in Akbar-19.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>This study suggests that genetic variability in RSA correlates with increased Fe and Zn concentrations in grains. Therefore, by using RSA attributes for Fe and Zn biofortification in wheat, these findings may be used in breeding programs to develop new biofortified varieties to mitigate micronutrient malnutrition.</p>\u0000 </section>\u0000 </div>","PeriodicalId":16802,"journal":{"name":"Journal of Plant Nutrition and Soil Science","volume":"188 4","pages":"686-701"},"PeriodicalIF":2.8,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144782677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spectral and Textural Features for Predicting Soil Phosphorus Using Vis-NIR Point Data and Multispectral UAV Imagery: A Case Study From a Long-Term Experiment","authors":"Yousra El-Mejjaouy,&nbsp;Jean-François Bastin,&nbsp;Vincent Baeten,&nbsp;Jeroen Meersmans,&nbsp;Abdallah Oukarroum,&nbsp;Benjamin Dumont,&nbsp;Benoît Mercatoris","doi":"10.1002/jpln.12012","DOIUrl":"https://doi.org/10.1002/jpln.12012","url":null,"abstract":"&lt;div&gt;\u0000 \u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Background&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Soil nutrient status assessment is a key aspect of crop management. Unlike the labor- and time-intensive conventional approach, precision farming techniques are expanding to ensure the uniformity of soil nutrients, enhance production, and alleviate economic pressure.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Aims&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;In this study, the potentials of visible and near-infrared spectroscopy (Vis-NIRS), as non-imaging technology and multispectral imagery mounted on unmanned aerial vehicle (UAV) to predict plant-available (AP) and total phosphorus (TP) (P) were studied and compared.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Materials &amp; Methods&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Soil samples were taken from a long-term experiment with contrasting fertilization treatments, and their spectra were recorded. Additionally, drone multispectral images were taken before and after soil tillage and seedbed preparation.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Results&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;The predicted available P content by Vis-NIRS was characterized by a cross-validation determination coefficient of &lt;i&gt;R&lt;/i&gt;&lt;sup&gt;2&lt;/sup&gt;&lt;sub&gt;cv&lt;/sub&gt; = 0.82 and validation determination coefficient of &lt;i&gt;R&lt;/i&gt;&lt;sup&gt;2&lt;/sup&gt;&lt;sub&gt;v&lt;/sub&gt; = 0.74, whereas the root mean square error for cross-validation (RMSE&lt;sub&gt;cv&lt;/sub&gt;) and validation (RMSE&lt;sub&gt;v&lt;/sub&gt;) were, respectively, 11.23 and 14.09 mg kg&lt;sup&gt;−1&lt;/sup&gt;. The random forest (RF) model based on the textural and spectral features from multispectral images taken after seedbed preparation had the highest performances to predict plant-available P (&lt;i&gt;R&lt;/i&gt;&lt;sup&gt;2&lt;/sup&gt;&lt;sub&gt;v&lt;/sub&gt; = 0.68, RMSE&lt;sub&gt;v&lt;/sub&gt; = 13.65 mg kg&lt;sup&gt;−1&lt;/sup&gt;, and RPIQ&lt;sub&gt;v&lt;/sub&gt; = 2.98), whereas the lowest prediction accuracy was obtained for total P prediction model after seedbed preparation (&lt;i&gt;R&lt;/i&gt;&lt;sup&gt;2&lt;/sup&gt;&lt;sub&gt;v&lt;/sub&gt; = 0.40, RMSE&lt;sub&gt;v&lt;/sub&gt; = 67.91, and RPIQ&lt;sub&gt;v&lt;/sub&gt; = 0.6). The effective wavelengths were around 450, 580, and 700 nm for predicting the available P fraction. Before soil tillage, the vegetation indices ranked high in the RF prediction models for available phosphorus (AP) and TP as compared to those developed after using tillage image-derived indices. In contrast, red-edge, red, and green bands, in addition to texture indices, were the most important predictors of soil available P following seedbed preparation.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Conclusion&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Our study suggests that soil tillage and seedbed preparation incorporate vegetation cover and alter soil roughness, resulting in a more homogeneous, smoother surface and higher accuracy for soil P prediction using","PeriodicalId":16802,"journal":{"name":"Journal of Plant Nutrition and Soil Science","volume":"188 4","pages":"626-638"},"PeriodicalIF":2.8,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144782533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}