European Journal of Agronomy最新文献

{"title":"Enhancing water use efficiency in wheat: 40 Years of genetic gains in the Argentine Pampas","authors":"Facundo Curin ,&nbsp;María E. Otegui ,&nbsp;Fernanda G. González","doi":"10.1016/j.eja.2025.127620","DOIUrl":"10.1016/j.eja.2025.127620","url":null,"abstract":"<div><div>Understanding the impact of breeding on water use and productivity, particularly in underexplored environments where pre-anthesis rainfall is often limited, is crucial for increasing wheat grain yield (GY) under future climatic scenarios. The aim of this work was to study the effects of breeding on GY and its physiological determinants, including water use and water use efficiency among cultivars released to the Argentine market over a 40-year period. Ten Argentinean cultivars classified into early cycle (EC) and late cycle (LC), based on time to anthesis, were grown across three seasons (2015, 2016, and 2017) under irrigated, rainfed, and water restricted conditions. Breeding increased GY by enhancing the harvest index (HI) in LC cultivars and the total biomass (BT) in EC cultivars. These improvements were accompanied by increases in water use efficiency for grain yield production (WUE_GY,ETc) of 1.11 % and 0.45 % per year among LC and EC cultivars, respectively, and a 0.29 % per year improvement in water use efficiency for biomass production (WUE_BT,ETc) among EC cultivars. Crop evapotranspiration (ET_C) decreased by 0.16 % per year exclusively in LC cultivars. Transpiration use efficiency (TE) improved by 0.55 % and 0.45 % per year for LC and EC cultivars, respectively, driven by increases in radiation use efficiency (RUE) of 0.46 % and 0.24 % per year. Notably, no changes in canopy conductance (g_C) were observed. Finally, the proportion of water transpired before anthesis (pPRE_ANT T_C) decreased by 0.45 % per year in LC cultivars. The results of this study indicate that genetic improvement in Argentina has enhanced GY by increasing WUE and RUE, rather than total ET_C. This is a particularly beneficial outcome for rainfed farming systems with limited water availability</div></div>","PeriodicalId":51045,"journal":{"name":"European Journal of Agronomy","volume":"168 ","pages":"Article 127620"},"PeriodicalIF":4.5,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143761104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Productivity of saline soils can be improved by integrating soil–crop system management","authors":"Qi Miao ,&nbsp;Shuaibing Wu ,&nbsp;Junchao Li ,&nbsp;Jishi Zhang ,&nbsp;Yunhong Wang ,&nbsp;Gang Wu ,&nbsp;Yixiang Sun ,&nbsp;Hao Ying ,&nbsp;Zhenling Cui","doi":"10.1016/j.eja.2025.127618","DOIUrl":"10.1016/j.eja.2025.127618","url":null,"abstract":"<div><div>Appropriate field management strategies are essential for improving crop productivity and promoting agricultural sustainability in saline–alkaline soils. To explore the potential of synergistic soil improvement and optimal crop management for agricultural production, this study evaluated crop yield, resource utilization, and soil quality in a field experiment with monoculture spring maize cultivation in a coastal saline soil region from 2015 to 2019. Compared with farmers’ practices, improved soil management (gypsum/cattle manure), crop management (variety/density), and a combination of both (ISCM) significantly decreased the sodium content, sodium removal rate, and pH by 51.5–60.2, 9.5–35.2, and 9.9 %, respectively, which increased soil organic carbon and total nitrogen by 31.9 and 22.2 %, respectively. Overall, ISCM was the most prominent in processing. As a result, ISCM increased yield and partial factor productivity of nitrogen by 37.2 and 94.5 %, respectively, and reduced N fertilizer use by 28.6 %. Therefore, soil–crop management, particularly the ISCM strategy, can successfully improve the saline soil environment, increase agricultural productivity, and achieve sustainability under intensive farming practices on saline land.</div></div>","PeriodicalId":51045,"journal":{"name":"European Journal of Agronomy","volume":"168 ","pages":"Article 127618"},"PeriodicalIF":4.5,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143738982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A new dataset to elucidate inaccurate temperature thresholds masking a hidden source of risk uncertainties in common wheat","authors":"Mael Aubry ,&nbsp;Renan Le Roux,&nbsp;Marie Launay,&nbsp;Iñaki García de Cortázar-Atauri,&nbsp;Carina Furusho-Percot","doi":"10.1016/j.eja.2025.127623","DOIUrl":"10.1016/j.eja.2025.127623","url":null,"abstract":"<div><div>Temperatures outside the optimum range for each phenological phase may wreak cereal yield losses. However, there is no consensus on temperature thresholds for assessing thermal stress in wheat. The wide spread use of these thresholds in the scientific literature is hardly ever considered in climate risk assessments. Our review updates the seminal work of Porter and Gawith (1999) by revising thermal stress thresholds, according to the geographical localisation, wheat type, phenological phases and processes involved. A group of 122 publications on the impact of temperature on wheat crops reveals high variability and inconsistencies in the thresholds. We disentangle some of the factors generating this variability and show that when the sample is filtered by geographical localisation, type of common wheat (winter or spring), and biological process (growth or development), the variability decreases within a range of 35–65 % depending on the stress indicator. This variability leads to considerable uncertainty in the estimation of agroclimatic risks to wheat crops. Indeed, a 2°C difference in the stress threshold (25°C vs. 27°C) for the grain-filling phase reduced the heat stress risk (number of days above the threshold) by up to 45 % on average over a 30-year period in France. These results help interpret previous studies by considering how the chosen threshold position within the range of possible values may lead to under or overestimation. We provide the full database from this review, including metadata defining the validity range of each study’s threshold. We recommend that future studies avoid deterministic thresholds and instead use a range of values to capture uncertainty and minimize conflicting conclusions.</div></div>","PeriodicalId":51045,"journal":{"name":"European Journal of Agronomy","volume":"168 ","pages":"Article 127623"},"PeriodicalIF":4.5,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143738981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Direct measurements unveil overestimations in nitrous oxide emissions from legume-based strip intercropping","authors":"Jinchuan Zhang ,&nbsp;Xin Qian ,&nbsp;Qi Liu ,&nbsp;Yi Xu ,&nbsp;Shengquan Yang ,&nbsp;Shaoyong Meng ,&nbsp;Yuanquan Chen ,&nbsp;Yadong Yang ,&nbsp;Leanne Peixoto ,&nbsp;Zhaohai Zeng ,&nbsp;Jørgen E. Olesen ,&nbsp;Huadong Zang","doi":"10.1016/j.eja.2025.127619","DOIUrl":"10.1016/j.eja.2025.127619","url":null,"abstract":"<div><div>Accurate evaluation of greenhouse gas (GHG) emissions from legume<strong>-</strong>based intercropping is key to supporting the agricultural green transition. However, current methods often ignore the direct emissions from the interspecific interaction row of legume/cereal intercropping. Here, a two-year field experiment was conducted to evaluate the difference between direct measurement and theoretical estimation of N₂O emissions and soil respiration from maize/peanut and maize/soybean strip intercropping. Results showed that theoretical estimation overestimated the N₂O emissions from interaction row by 12 – 15 % compared to direct measurement (<em>P</em> &lt; 0.05). This overestimation occurred mainly during the N₂O emissions peak (lasting 5 – 7 days) after topdressing N fertilization, which accounted for 21 – 49 % of the overestimation. Soil NH₄⁺ and NO₃^- concentrations in the interaction row were 33 – 129 % and 26 – 96 % lower than the weighted average of the crop rows following topdressing N fertilization (<em>P</em> &lt; 0.05). However, the soil respiration of the interaction row did not differ between direct measurement and theoretical estimation, which may indicate N is the key interaction elements for intercropped legume and cereal rather than carbon. Furthermore, the uncertainty in theoretical estimation of N₂O emissions from legume-based intercropping was increases with the decrease of strip width, which mainly due to the increasing contribution of interaction zone. In conclusion, theoretical estimation can lead to an overestimation of N₂O emissions, underscoring the necessity for direct measurement, especially as strip width narrows with increased proportion of interspecific interactions zones.</div></div>","PeriodicalId":51045,"journal":{"name":"European Journal of Agronomy","volume":"168 ","pages":"Article 127619"},"PeriodicalIF":4.5,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143734933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Balancing economic and environmental goals in winter barley: the role of nitrogen timing and genotypes","authors":"Josephine Bukowiecki,&nbsp;Till Rose,&nbsp;Henning Kage,&nbsp;Klaus Sieling","doi":"10.1016/j.eja.2025.127626","DOIUrl":"10.1016/j.eja.2025.127626","url":null,"abstract":"<div><div>Despite a relatively high share of cropping area in northern European agriculture, little is known about how nitrogen (N) fertilization in autumn and spring affects winter barley grain yield and the mechanisms involved. Based on a field trial from 2016 to 2024, the study examined the effect of eight N treatments (two autumn and four spring N levels) and two winter barley genotypes (hybrid vs. line), focusing on green area index (GAI), photosynthetically active radiation (PAR) interception, grain yield and N balance. Results suggest that yield increases from N fertilization were due to higher PAR interception, which boosted grain numbers per square meter. However, the effect of autumn N was minimal when spring N fertilization was sufficient. Although hybrids intercepted less PAR than lines, they used it more efficiently, consistently yielding more. To optimize yield and N use efficiency, we recommend using hybrid genotypes with spring-only N fertilization. Autumn N fertilization leads to higher N balances, making it unsuitable for meeting European environmental goals.</div></div>","PeriodicalId":51045,"journal":{"name":"European Journal of Agronomy","volume":"168 ","pages":"Article 127626"},"PeriodicalIF":4.5,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143724289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Accurate estimation of winter-wheat leaf water content using continuous wavelet transform-based hyperspectral combined with thermal infrared on a UAV platform","authors":"Ning Yang ,&nbsp;Zhitao Zhang ,&nbsp;Junrui Zhang ,&nbsp;Xiaofei Yang ,&nbsp;Hao Liu ,&nbsp;Junying Chen ,&nbsp;Jifeng Ning ,&nbsp;Shikun Sun ,&nbsp;Liangsheng Shi","doi":"10.1016/j.eja.2025.127624","DOIUrl":"10.1016/j.eja.2025.127624","url":null,"abstract":"<div><div>Timely and accurate assessment of crop water status using unmanned aerial vehicle (UAV) imagery is helpful for precision irrigation and field management. The aim of this study is to investigate the application potential of continuous wavelet transform (CWT)-based hyperspectral combined with thermal infrared image data for the estimation of leaf water content (LWC) in winter wheat. This study evaluates the performance of convolutional neural networks (CNN) for feature extraction and long short-term memory (LSTM) networks for sequential data processing in LWC estimation. A UAV platform carrying hyperspectral and thermal infrared sensors was used to collect high spatial resolution images of winter wheat under different water treatments over two years. The LWC was collected simultaneously. The original (OR) and CWT-transformed canopy spectral and textural features, as well as canopy temperature indicators, were extracted from the UAV-based images. On this basis, the LWC estimation model was established using the CNN and LSTM model. The results showed that the combination of thermal features with spectral and texture features significantly improves model performance compared to models built on a single data. The CWT-transformed spectral features improved LWC estimation compared to the original spectrum, with the third scale (CWT3) yielding the best results. Moreover, the CWT-transformed texture at multi-decomposition scales proved to be effective for estimating LWC. Compared to other models, the LSTM model (T-ST_CWT3-LSTM), built by thermal feature fusion with CWT3-based spectral and texture features, achieved the best LWC estimation results, with R² of 0.827 and 0.836, RMSE of 2.575 % and 1.822 %, and MAE of 2.041 % and 1.434 % for 2022 and 2023, respectively. In addition, the robustness of the T-ST_CWT3-LSTM model was successfully verified at different growth stages. Overall, the CWT technique and multi-feature fusion approach provide a valuable technical reference for real-time crop water status monitoring, supporting improved precision irrigation practices and sustainable crop management.</div></div>","PeriodicalId":51045,"journal":{"name":"European Journal of Agronomy","volume":"168 ","pages":"Article 127624"},"PeriodicalIF":4.5,"publicationDate":"2025-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143725273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Intercropping-driven maize yield gain depending on regional environments, planting conditions, and production managements: A global-scale evidence","authors":"Huibin Xu ,&nbsp;Jinmeng Hu ,&nbsp;Gongwen Luo,&nbsp;Yizhe Wang,&nbsp;Yuping Zhang,&nbsp;Xiangmin Rong,&nbsp;Jianwei Peng,&nbsp;Chaolin Liao","doi":"10.1016/j.eja.2025.127622","DOIUrl":"10.1016/j.eja.2025.127622","url":null,"abstract":"<div><div>Intercropping has been widely adopted to enhance maize (<em>Zea mays L</em>.) productivity. However, its global yield benefits remain unclear across varying regions, climates, soil properties, crop combinations, and agricultural practices. A meta-analysis encompassing 1819 records from 49 countries was conducted to evaluate the yield benefits of maize intercropping systems and their main drivers. Global dataset revealed that intercropping significantly increased average maize yields by 4.5 ± 0.5 % compared to monoculture. A higher yield in intercropping maize than the monoculture was only observed in just over half of the records. The intercropping systems in Asia and Africa showed a yield increase, but those in South America, North America, and Europe showed a yield decrease. Intercropping with legumes (4.7 ± 0.5 %) resulted in higher yield benefits than that with non-legumes (3.5 ± 1.1 %), particularly when peanuts were included (15.4 ± 1.6 %). Intercropping with non-grain crops yielded more significant benefits than that with grain crops. In intercropping systems, the optimal crop community structure for yield benefits includes a maize row spacing of 40–60 cm, maize planting density of 50,000–75,000 plants ha-1, distance between maize and accompanying crops of 40–60 cm, and an intercropping ratio of 2:4 (two maize strips and four intercrop strips). Yield increases were most pronounced in silt-loam soils or soils with a pH above 6.50. Intercropping significantly boosted maize yields without nitrogen and potassium fertilizers but declined in phosphorus absence. Geographical and climatic factors also played significant roles, with the highest yield benefits observed at latitudes of 10–50°, altitudes of 500–1500 m, mean annual precipitation (MAP) below 800 mm, and mean annual temperature (MAT) below 18°C. Among the intercrop types and crop community traits, maize inter-row spacing showed the greatest impact on intercropping-driven yield benefits, followed by the distance between adjacent crops. Regarding soil and fertilization conditions, soil pH and potassium input rate were the main factor influencing the yield benefits. Among geographic and climatic variables, MAP had the greatest effect, followed by MAT. These findings demonstrate the performance of intercropping in enhancing maize yields and underscores the need for more optimization to maximize its potential in diverse environments and farming practices.</div></div>","PeriodicalId":51045,"journal":{"name":"European Journal of Agronomy","volume":"168 ","pages":"Article 127622"},"PeriodicalIF":4.5,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143724290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Weed detection in cotton farming by YOLOv5 and YOLOv8 object detectors","authors":"Aditya Kamalakar Kanade ,&nbsp;Milind P. Potdar ,&nbsp;Aravinda Kumar ,&nbsp;Gurupada Balol ,&nbsp;K. Shivashankar","doi":"10.1016/j.eja.2025.127617","DOIUrl":"10.1016/j.eja.2025.127617","url":null,"abstract":"<div><div>Weeds are undesirable plants that pose significant challenges to agricultural crops by competing with them below and above ground. Traditional manual methods of identifying and managing weed infestations are time-consuming and labor-intensive, limiting their effectiveness. To address this problem, an experiment was conducted during <em>kharif</em>-2022 at Main Agricultural Research Station, University of Agricultural Sciences, Dharwad, India. The objective was to create a cotton-weed dataset of Indian cotton production system and to evaluate the performance of YOLO (You Only Look Once) object detection models. High-resolution images were captured using a digital camera mounted on a tripod stand, positioned vertically downward at a height of 80 cm. A dataset of 2300 images was created accompanied by 44130 bounding box annotations of two weed classes (grasses and broad-leaf weed) and a crop class <em>i.e.</em> Cotton. 12 state-of-the-art YOLO object detectors of two versions (YOLOv5 and YOLOv8) were evaluated. The algorithms demonstrated promising results, with detection accuracy ([email protected]) ranging from 69.88 % (YOLOv8n) to 76.50 % (YOLOv5s6). YOLOv5n (3.07 ms inference time) was the fastest model. Additionally, it had lower number of model parameters (1.7 million) and GFLOPs (4.1) making it suitable for real-field applications in resource-constraint conditions. Other YOLO models also exhibited significant potential for real-time weed detection. The study underscores the capabilities of YOLO object detectors for real-time weed detection in cotton. The models can be implemented on specialized computing hardware, for integrating into a robotics and sensor platform for real-time weed identification enabling targeted herbicide application, reducing chemical use, and enhancing crop yields.</div></div>","PeriodicalId":51045,"journal":{"name":"European Journal of Agronomy","volume":"168 ","pages":"Article 127617"},"PeriodicalIF":4.5,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143684741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The efficacy of 1-aminocyclopropane-1-carboxylic acid (ACC) in thinning apples under Chilean conditions","authors":"Victor Beyá-Marshall ,&nbsp;Antonieta Verdugo ,&nbsp;Thomas Fichet ,&nbsp;Gabino Reginato","doi":"10.1016/j.eja.2025.127606","DOIUrl":"10.1016/j.eja.2025.127606","url":null,"abstract":"<div><div>In Chile, apple trees commonly show high fruit set: ∼2.0–2.5 fruits/cluster; therefore, strong chemical thinning strategies are needed to avoid or reduce hand thinning. 1-aminocyclopropane-1-carboxylic acid (ACC; Accede®), an ethylene precursor, has been registered as flower or fruitlet thinner for different fruit crops, but it must be validated according to species, cultivars and weather conditions. The aim of this study was (i) to evaluate the efficacy of ACC concentrations since bloom up to the timing of ‘rescue’ treatments, later in the season, and (ii) to evaluate it as part of commercial chemical thinning programs (CCTP). Six trials in ‘Brookfield Gala’’ and 5 in ‘Fuji Raku Raku’ were done during four seasons. Across the seasons and cultivars, ACC, alone or as part of a CCTP, reduced fruit set in a dose-moment-cultivar dependent manner. For 'Gala', ACC at full bloom (224 and 448 mg L⁻¹) was highly effective in thinning flowers, equivalent to the effect of 12 mg L⁻¹ of NAA. From petal fall up to fruits of 10–12 mm in diameter, 448 mg L⁻¹ reduced fruit set; higher concentration (672 mg L⁻¹) was required when fruits reached between 18 and 25 mm. At the same period 672 mg L⁻¹ or higher concentrations with a coadjuvant or oil showed slight to moderate leaf drop, depending on the season. The thinner efficacy of 400 mg L⁻¹ of ethephon was similar to all ACC concentrations (448–672 mg L⁻¹) at 25 mm; however, it showed lower fruit weight and yield than ACC treatments. For 'Fuji', higher ACC concentration was required; 672 mg L⁻¹ at full bloom reduced fruit set from 2.5 to 1.5 fruits/cluster, which is considered good effect for 'Fuji'. Between fruits of 4 mm up to fruits of 10–12 mm in diameter and under good weather conditions for thinning (i.e., projected less carbohydrate availability), 448–672 mg L⁻¹ reduced fruit set, but not under “bad” conditions for thinning (i.e., cold nights and hot sunny days). Similar results were observed for \"rescue\" treatments, when only 896 mg L⁻¹ reduced fruit set until targeted fruit set (0.8–1.0 fruits/cluster), while medium rates (448–672 mg L⁻¹) plus coadjuvant generated a moderate thinning effect, but only under favorable weather conditions. In conclusion, ACC is a promising thinner for full bloom and also as a \"rescue\" thinner for apples, particularly at the 18–25 mm stage when other thinners are ineffective.</div></div>","PeriodicalId":51045,"journal":{"name":"European Journal of Agronomy","volume":"168 ","pages":"Article 127606"},"PeriodicalIF":4.5,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143684803","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Changes in soil phosphorus forms affect soil zinc availability in distinct paddy rice soil textures under long-term phosphate fertilization","authors":"Haipeng Zhang,&nbsp;Qi Zou,&nbsp;Wanyi Li,&nbsp;Fuxing Liao,&nbsp;Juanjuan Wang,&nbsp;Hongcheng Zhang,&nbsp;Yanju Yang","doi":"10.1016/j.eja.2025.127615","DOIUrl":"10.1016/j.eja.2025.127615","url":null,"abstract":"<div><div>The interaction between phosphorus (P) and zinc (Zn) significantly impacts crop yield and nutrient availability in agricultural systems. This study examines how long-term P fertilization in paddy rice affects soil P forms and Zn dynamics across three distinct soil textures (sand, loam, and clay) over 20 years (2003–2022) in a long-term experimental field. Long-term P fertilization increased total P (TP), Olsen-P, and various P fractions, with clay soils showing the highest increases in TP (201.13 mg kg⁻¹) and total inorganic P (77.46 mg kg⁻¹). P fertilizer application enhanced available Zn content (AZn) and the available index of Zn (AIZn) while total Zn (TZn) decreased in loam, clay and sand soils. Changes in AZn and AIZn content were positively correlated with alterations in soil Olsen-P and specific P fractions content (CaCl₂-P, Ca₂-P, and water-soluble P). Grain removed Zn content (△Grain RZn) ranged from 0.023 to 0.045 kg hm⁻², with significantly increases in clay and sand soils linked to soil storage Olsen-P (△SOlsen-P), while it decreased in loam soils with increasing △SOlsen-P. Redundancy analysis identified changes in soil storage AZn, Ca₂-P, and water soluble P as significant factors influencing changes in grain removed Zn and P content (△Grain RZn and △Grain RP). This study highlights the complex interactions between P forms and Zn availability in different soil textures, with important implications for long-term phosphate fertilization practices in paddy fields.</div></div>","PeriodicalId":51045,"journal":{"name":"European Journal of Agronomy","volume":"168 ","pages":"Article 127615"},"PeriodicalIF":4.5,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143684802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}