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Soil quality assessment of greenhouse vegetable production in Ningxia—A low-contaminated and high-quality crop base 宁夏大棚蔬菜生产土壤质量评价——低污染优质作物基地
IF 2 3区 农林科学
Agronomy Journal Pub Date : 2025-03-27 DOI: 10.1002/agj2.70027
Xinyi Wang, Yanxin Luo, Haixia Zhou, Yanming Gao, Jianshe Li, Xueyan Zhang
{"title":"Soil quality assessment of greenhouse vegetable production in Ningxia—A low-contaminated and high-quality crop base","authors":"Xinyi Wang,&nbsp;Yanxin Luo,&nbsp;Haixia Zhou,&nbsp;Yanming Gao,&nbsp;Jianshe Li,&nbsp;Xueyan Zhang","doi":"10.1002/agj2.70027","DOIUrl":"https://doi.org/10.1002/agj2.70027","url":null,"abstract":"<p>Declining soil nutrients and increasing total metals impair optimum land productivity. Understanding the spatial and temporal variabilities of soil properties helps researchers and farmers to determine the soil's ecological status and provide science-based recommendations for fertilization, crop suitability, and land use. Ningxia has less industrial waste gas and water pollution, good ecological environment, and is an important green vegetable planting base in China. This study was conducted to investigate the spatial and temporal variabilities of soil nutrients and metal elements in greenhouse conditions. All soil samples were alkaline. The concentration of soil nutrients and metal elements was concentrated in the soil surface (0–30 cm) and increased with cultivation years. A significant difference was observed between the soil planted for more than 11 years and that planted for 0 year (open field). A total of 76.8% of the soil samples’ organic matter concentration had relatively low (10–20 g/kg) and medium grades (20–30 g/kg). And 100% and 84.5% of soil samples’ total nitrogen and available nitrogen concentrations were &lt;40 and &lt;200 mg/kg, respectively, at 0–30 cm. And 68.3% and 95.1% of soil samples’ available potassium (&gt;120 mg/kg) and phosphorus (&gt;20 mg/kg) contents were relatively high and high, respectively. Nearly all soil samples have low metal element concentrations. The soil properties in the Yellow River irrigation region were higher than those in the other areas of principal component 1 (PC1). Comprehensive soil quality in Ningxia showed alkaline conditions and high potassium and phosphorus, along with suitable amounts of available nitrogen and zinc, making it ideal for high-quality greenhouse vegetable production.</p>","PeriodicalId":7522,"journal":{"name":"Agronomy Journal","volume":"117 2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143707369","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}
引用次数: 0
Optimizing nitrogen rates for rainfed cotton on sandy loam soils of Florida 佛罗里达砂壤土旱作棉花氮肥用量优化
IF 2 3区 农林科学
Agronomy Journal Pub Date : 2025-03-25 DOI: 10.1002/agj2.70046
Eajaz Ahmad Dar, Peter Omara, Joseph E. Iboyi, Michael J. Mulvaney, Ethan Carter, C. Wesley Wood, Lakesh Sharma, Hardeep Singh
{"title":"Optimizing nitrogen rates for rainfed cotton on sandy loam soils of Florida","authors":"Eajaz Ahmad Dar,&nbsp;Peter Omara,&nbsp;Joseph E. Iboyi,&nbsp;Michael J. Mulvaney,&nbsp;Ethan Carter,&nbsp;C. Wesley Wood,&nbsp;Lakesh Sharma,&nbsp;Hardeep Singh","doi":"10.1002/agj2.70046","DOIUrl":"https://doi.org/10.1002/agj2.70046","url":null,"abstract":"<p>Nitrogen (N) fertilizer recommendations for rainfed cotton (<i>Gossypium hirsutum</i> L.) in Florida have remained static at 67 kg N ha<sup>−1</sup> since 1981. A study conducted at the West Florida Research and Education Center in Jay, FL, in 2022 and 2023, evaluated the response of cotton (cv. DP-2038) to six N rates (0, 50, 101, 151, 202, and 252 kg ha<sup>−1</sup>), using a randomized complete block design with four replications. Total rainfall during growing season was 923 mm in 2022 and 710 mm in 2023. Results show petiole nitrate N concentration of 5050–9700 mg kg<sup>−1</sup> at bloom and 363–1138 mg kg<sup>−1</sup> at 4 weeks after bloom is sufficient for rainfed cotton in Florida. Aboveground biomass achieved with 252 kg N ha<sup>−1</sup> was 25%–92% higher than with other N rates. The greatest seed cotton (3761 kg ha<sup>−1</sup>) and lint yield (1817 kg ha<sup>−1</sup>) were recorded with 151 kg N ha<sup>−1</sup>, but this was statistically similar (<i>p</i> &gt; 0.05) to 252, 202, and 101 kg N ha<sup>−1</sup>. Lint turnout decreased with increasing N rate, with maximum in the unfertilized control and minimum with 252 kg N ha<sup>−1</sup>. Fertilizer N use efficiency (NUE) and internal NUE decreased by 76% and 53%, respectively, with an increase in N rate from 50 to 252 kg ha<sup>−1</sup>. The best fit linear plateau model indicated an agronomic optimum rate of 127 kg N ha<sup>−1</sup>. These results show the need to revise N recommendations for rainfed cotton in Florida to maximize yield and economic returns while promoting sustainable agricultural practices.</p>","PeriodicalId":7522,"journal":{"name":"Agronomy Journal","volume":"117 2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agj2.70046","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143699012","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}
引用次数: 0
Coupling the STICS model and CATIMO equations to simulate the growth and nutritive value of alfalfa 耦合STICS模型和CATIMO方程模拟紫花苜蓿的生长和营养价值
IF 2 3区 农林科学
Agronomy Journal Pub Date : 2025-03-25 DOI: 10.1002/agj2.70045
Marianne Crépeau, Guillaume Jégo, Gilles Bélanger, Loïc Strullu, Marc Duchemin, Gaëtan Tremblay
{"title":"Coupling the STICS model and CATIMO equations to simulate the growth and nutritive value of alfalfa","authors":"Marianne Crépeau,&nbsp;Guillaume Jégo,&nbsp;Gilles Bélanger,&nbsp;Loïc Strullu,&nbsp;Marc Duchemin,&nbsp;Gaëtan Tremblay","doi":"10.1002/agj2.70045","DOIUrl":"https://doi.org/10.1002/agj2.70045","url":null,"abstract":"<p>Although alfalfa (<i>Medicago sativa</i> L.) is one of the most cultivated perennial forage crops in the world, little information exists on the possibility of simulating both its growth and nutritive value. Our objectives were to evaluate and improve the performance of the STICS 10.0.0 model in simulating the biomass and leaf area index (LAI) of alfalfa grown in eastern Canada, and the performance of the equations derived from the Canadian timothy model (CATIMO) to predict three attributes of alfalfa nutritive value: neutral detergent fiber (NDF), neutral detergent fiber digestibility (NDFd), and in vitro true digestibility (IVTD) of the dry matter with STICS outputs. STICS was first calibrated, and its performance to simulate the growth of two alfalfa cultivars in spring and summer was evaluated. Leaf and stem biomass outputs from STICS were then used to calibrate and evaluate the CATIMO nutritive value equations. Twenty-four datasets were used from two cultivars (Oneida VR and Calypso) and five sites in eastern Canada. STICS succeeded in simulating the aboveground biomass (normalized root mean square error [NRMSE] ≤ 27%) and the LAI (NRMSE ≤ 21%). Taproot biomass and aboveground biomass N concentration were also sufficiently well simulated. The new parameterization and modifications of the CATIMO equations allowed the model to accurately simulate the alfalfa nutritive value with NRMSE under or equal to 15%, 11%, and 5% for NDF, NDFd, and IVTD, respectively. STICS, combined with the improved nutritive value equations, is therefore suitable to simulate alfalfa growth and nutritive value in future studies.</p>","PeriodicalId":7522,"journal":{"name":"Agronomy Journal","volume":"117 2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agj2.70045","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143699011","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}
引用次数: 0
Cover crops, double-crop soybean, and nitrogen rates affect productivity and profitability of a no-till rotation 覆盖作物、双季豆和氮肥用量影响免耕轮作的生产力和盈利能力
IF 2 3区 农林科学
Agronomy Journal Pub Date : 2025-03-24 DOI: 10.1002/agj2.70037
Elizabeth Yeager, Peter Tomlinson, Giovani Preza Fontes, Jessica Grunberg, J. Anita Dille, Kevin Arnet, Kraig Roozeboom
{"title":"Cover crops, double-crop soybean, and nitrogen rates affect productivity and profitability of a no-till rotation","authors":"Elizabeth Yeager,&nbsp;Peter Tomlinson,&nbsp;Giovani Preza Fontes,&nbsp;Jessica Grunberg,&nbsp;J. Anita Dille,&nbsp;Kevin Arnet,&nbsp;Kraig Roozeboom","doi":"10.1002/agj2.70037","DOIUrl":"https://doi.org/10.1002/agj2.70037","url":null,"abstract":"<p>Double crops and cover crops can increase cropping intensity and diversity, which are associated with productive, sustainable cropping systems. However, adoption of cover crops remains low. A long-term study with a no-till, sorghum [<i>Sorghum bicolor</i> (L.) Moench]–soybean [<i>Glycine max</i> (L.) Merr.]–wheat (<i>Triticum aestivum</i> L.) rotation intensified with double crops or cover crops was used to evaluate the effect of fallow management and nitrogen fertilizer applications to sorghum on system productivity and net returns. The experiment was established near Manhattan, KS, in 2007 and contained all three crops every year. Treatments included fallow management between wheat and sorghum as whole plots (chemical fallow, double-crop soybean [DSB], summer legume cover crop [SL], summer non-legume cover crop [SNL], winter legume cover crop, and winter non-legume cover crop) and nitrogen fertilizer rates applied to sorghum as subplots (0, 45, 90, 135, and 180 kg ha<sup>−1</sup>) in a randomized complete block with four replications. Net returns were calculated as gross revenue less input and operating costs. Across three iterations of three cycles of the rotation from 2007 through 2018, total rotation yields increased with greater nitrogen rates, but the amount required to maximize yield varied, ranging from 90 kg ha<sup>−1</sup> with DSB and SL to 180 kg ha<sup>−1</sup> with SNL. The DSB treatment with 90 kg nitrogen ha<sup>−1</sup> applied to sorghum maximized system yields and net returns. Intensifying a cropping system with double or cover crops can increase system productivity and profits, but the system must be managed carefully to achieve positive outcomes.</p>","PeriodicalId":7522,"journal":{"name":"Agronomy Journal","volume":"117 2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agj2.70037","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143689945","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}
引用次数: 0
Soil-profile fertility is altered by soil texture and land use across physiographic regions in the southeastern United States 美国东南部地理区域的土壤质地和土地利用改变了土壤剖面肥力
IF 2 3区 农林科学
Agronomy Journal Pub Date : 2025-03-22 DOI: 10.1002/agj2.70041
Alan J. Franzluebbers, Bhupinder S. Farmaha, Rodolfo Zentella, Arjun Kafle
{"title":"Soil-profile fertility is altered by soil texture and land use across physiographic regions in the southeastern United States","authors":"Alan J. Franzluebbers,&nbsp;Bhupinder S. Farmaha,&nbsp;Rodolfo Zentella,&nbsp;Arjun Kafle","doi":"10.1002/agj2.70041","DOIUrl":"https://doi.org/10.1002/agj2.70041","url":null,"abstract":"<p>Soil fertility is often considered solely a function of soil chemical properties but should also encompass aspects of soil physical and biological properties and processes. Statistical distributions of soil properties are not readily available within the southeastern United States but could help target management interventions within common land uses. We determined soil fertility characteristics at 0- to 10-cm, 10- to 30-cm, and 30- to 60-cm depths across a combination of 56 research stations and private farms (<i>n</i> = 614 soil profiles) in coastal, piedmont, and mountain physiographic regions of North Carolina and Virginia. The inherent soil characteristic of sand concentration varied greatly within and among physiographic regions and was a key determinant of soil chemical characteristics, such as cation exchange capacity, soil pH, and base saturation. However, the management factor of land use was also highly influential for many soil properties. On average, soil under no-till compared with conventional-till cropland had 15% greater cation exchange capacity, 27% greater Mehlich-3-extractable Ca, 68% greater soil stability index, and 63% greater soil-test biological activity at 0- to 10-cm depth. There were fewer differences deeper in the profile. Soil under grassland compared with no-till cropland had 39 ± 6% greater extractable potassium (K) throughout the soil profile and 22% greater soil stability index, 68% greater soil-test biological activity, and 8% lower bulk density at 0- to 10-cm depth. Statistical distributions of chemical, physical, and biological properties across a diversity of soil textural conditions and land uses offered a first step toward regional assessments that could be associated with nutrient sufficiency levels and targeted management interventions.</p>","PeriodicalId":7522,"journal":{"name":"Agronomy Journal","volume":"117 2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agj2.70041","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143689508","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}
引用次数: 0
Additional uses of the Smith–Kerns dollar spot model for improved dollar spot suppression 史密斯-科恩斯美元现货模型对美元现货抑制的进一步应用
IF 2 3区 农林科学
Agronomy Journal Pub Date : 2025-03-19 DOI: 10.1002/agj2.70040
Paul L. Koch, Kurt Hockemeyer
{"title":"Additional uses of the Smith–Kerns dollar spot model for improved dollar spot suppression","authors":"Paul L. Koch,&nbsp;Kurt Hockemeyer","doi":"10.1002/agj2.70040","DOIUrl":"https://doi.org/10.1002/agj2.70040","url":null,"abstract":"<p>The Smith–Kerns Dollar Spot Model has been used to time preventative fungicide applications to optimize control, but additional uses of the model may expand its impact and further reduce unnecessary fungicide. This project investigates two additional uses of the model, (1) to assess whether early-season fungicide applications allow for increased model thresholds to be used the rest of the season and (2) to determine whether the model can be used to schedule when reductions in fungicide reapplication intervals are most effective. Both studies were conducted in Madison, WI, in 2022 and 2023. In the early-season study, inclusion of an early-season fungicide did not provide significant evidence for increased model thresholds to be used the remainder of the season. In the reapplication interval study, a model threshold of 60% indicated that dollar spot pressure was high, suggesting that reapplication intervals should be shortened. Collectively, these results provide additional uses of the Smith–Kerns Dollar Spot Model and increase the ability for golf course superintendents to implement data-driven strategies in their dollar spot management programs.</p>","PeriodicalId":7522,"journal":{"name":"Agronomy Journal","volume":"117 2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agj2.70040","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143689131","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}
引用次数: 0
Mid-season pest management implications for protecting soybean seed quality in North Carolina 季中害虫管理对保护北卡罗来纳州大豆种子质量的影响
IF 2 3区 农林科学
Agronomy Journal Pub Date : 2025-03-19 DOI: 10.1002/agj2.70033
K. O'Reilly, R. A. Vann, G. D. Collins, L. R. Lux, D. R Stokes, D. D. Reisig
{"title":"Mid-season pest management implications for protecting soybean seed quality in North Carolina","authors":"K. O'Reilly,&nbsp;R. A. Vann,&nbsp;G. D. Collins,&nbsp;L. R. Lux,&nbsp;D. R Stokes,&nbsp;D. D. Reisig","doi":"10.1002/agj2.70033","DOIUrl":"https://doi.org/10.1002/agj2.70033","url":null,"abstract":"<p>Soybean producers in North Carolina have shifted from later to early-maturing varieties (MG II-IV) to increase yield. This shift has coincided with more frequent seed damage and purple seed stain, sometimes resulting in dockage at the elevator. Weather is a major driving factor in seed quality issues, but management strategies may play a role to minimize these seed quality issues; these have not been investigated in North Carolina. To better understand the impact of pest management on seed quality, field trials were conducted over two growing seasons (2021–2022) in three environments across North Carolina. Soybean yield, seed damage, purple seed stain, protein, and oil were collected. Moreover, non-treated controls were scouted at R3 and R5 for each planting date and maturity group combination to determine pest dynamics at each location. While fungicide applications improved yield, pesticide applications did not significantly protect seed quality compared to the untreated control. Continuous scouting and as needed pesticide application can help producers improve soybean yield and protect seed quality.</p>","PeriodicalId":7522,"journal":{"name":"Agronomy Journal","volume":"117 2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agj2.70033","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143689134","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}
引用次数: 0
Attention mechanism-based ultralightweight deep learning method for automated multi-fruit disease recognition system 基于注意机制的多果病害自动识别系统超轻量级深度学习方法
IF 2 3区 农林科学
Agronomy Journal Pub Date : 2025-03-19 DOI: 10.1002/agj2.70035
Moshiur Rahman Tonmoy, Md. Akhtaruzzaman Adnan, Shah Murtaza Rashid Al Masud, Mejdl Safran, Sultan Alfarhood, Jungpil Shin, M. F. Mridha
{"title":"Attention mechanism-based ultralightweight deep learning method for automated multi-fruit disease recognition system","authors":"Moshiur Rahman Tonmoy,&nbsp;Md. Akhtaruzzaman Adnan,&nbsp;Shah Murtaza Rashid Al Masud,&nbsp;Mejdl Safran,&nbsp;Sultan Alfarhood,&nbsp;Jungpil Shin,&nbsp;M. F. Mridha","doi":"10.1002/agj2.70035","DOIUrl":"https://doi.org/10.1002/agj2.70035","url":null,"abstract":"<p>Automated disease recognition plays a pivotal role in advancing smart artificial intelligence (AI)-based agriculture and is crucial for achieving higher crop yields. Although substantial research has been conducted on deep learning-based automated plant disease recognition systems, these efforts have predominantly focused on leaf diseases while neglecting diseases affecting fruits. We propose an efficient architecture for effective fruit disease recognition with state-of-the-art performance to address this gap. Our method integrates advanced techniques, such as multi-head attention mechanisms and lightweight convolutions, to enhance both efficiency and performance. Its ultralightweight design emphasizes minimizing computational costs, ensuring compatibility with memory-constrained edge devices, and enhancing both accessibility and practical usability. Experimental evaluations were conducted on three diverse datasets containing multi-class images of disease-affected and healthy samples for sugar apple (<i>Annona squamosa</i>), pomegranate (<i>Punica granatum</i>), and guava (<i>Psidium guajava</i>). Our proposed model attained exceptional results with test set accuracies and weighted precision, recall, and f1-scores exceeding 99%, which have also outperformed state-of-the-art pretrain large-scale models. Combining high accuracy with a lightweight architecture represents a significant step forward in developing accessible AI solutions for smart agriculture, contributing to the advancement of sustainable and smart agriculture.</p>","PeriodicalId":7522,"journal":{"name":"Agronomy Journal","volume":"117 2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143689132","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}
引用次数: 0
Finer topdressing sand affects creeping bentgrass quality and surface characteristics 细粒追肥砂影响匍匐弯草的品质和表面特性
IF 2 3区 农林科学
Agronomy Journal Pub Date : 2025-03-19 DOI: 10.1002/agj2.70039
Hui Chen, James W. Hempfling, Charles J. Schmid, Zhongqi Xu, Hiranthi Samaranayake, James A. Murphy
{"title":"Finer topdressing sand affects creeping bentgrass quality and surface characteristics","authors":"Hui Chen,&nbsp;James W. Hempfling,&nbsp;Charles J. Schmid,&nbsp;Zhongqi Xu,&nbsp;Hiranthi Samaranayake,&nbsp;James A. Murphy","doi":"10.1002/agj2.70039","DOIUrl":"https://doi.org/10.1002/agj2.70039","url":null,"abstract":"<p>Routine application of topdressing sand is widely practiced to manage putting green surfaces. Topdressing with finer sand and/or at minimal rates can enhance incorporation, greatly reducing the concerns of interference. A 7-year field study investigated the effects of topdressing and cultivation practices on turf quality and surface characteristics of creeping bentgrass (<i>Agrostis stolonifera</i> L.) grown on a sand-based rootzone. A 3 × 2 × 2 factorial design evaluated sand size (medium-coarse, medium-fine, and fine-medium), rate of topdressing during mid-season (0.24 or 0.49 kg m<sup>−2</sup> every 10–14 days), and cultivation (hollow tine cultivation [HTC] plus backfilled with medium-coarse sand or noncultivated). Sand size and topdressing rate significantly affected turf quality, surface volumetric water content (VWC), and surface hardness, with their effects dependent on cultivation. Without HTC, VWC increased as the topdressing sand size became finer. However, when HTC was applied, VWC was not increased by topdressing with medium-fine sand during any year. The practice of HTC also offset the effect of fine-medium sand increasing VWC during the first 4 years, but not Years 5 through 7. Therefore, caution is needed when considering fine-medium sand for topdressing putting greens. Additionally, after 5 years of treatment, the lower topdressing rate led to a wetter surface compared to the higher rate in the absence of cultivation, but not when HTC was applied. The major drawback of HTC was disruption of the turf surface, which resulted in better turf quality on noncultivated plots throughout the trial.</p>","PeriodicalId":7522,"journal":{"name":"Agronomy Journal","volume":"117 2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agj2.70039","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143689133","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}
引用次数: 0
Corrigendum to “An inter-laboratory comparison of soil organic carbon analysis on a farm with four agricultural management systems” “采用四种农业管理制度的农场土壤有机碳分析的实验室间比较”的勘误表
IF 2 3区 农林科学
Agronomy Journal Pub Date : 2025-03-18 DOI: 10.1002/agj2.70044
{"title":"Corrigendum to “An inter-laboratory comparison of soil organic carbon analysis on a farm with four agricultural management systems”","authors":"","doi":"10.1002/agj2.70044","DOIUrl":"https://doi.org/10.1002/agj2.70044","url":null,"abstract":"<p>Brinton, W., Basso, B., Millar, N., Covey, K., Bettigole, C., Jagadamma, S., Loeffler, F., Kolodney, S. (2025). <i>Agronomy Journal</i>, <i>117</i>, e70018.</p><p>In the author list, the spelling “Bettigo” was incorrect. The name was corrected to read: “Bettigole, C.” Additionally, at the end, an author was omitted. The full author list was corrected to read: “Brinton, W., Basso, B., Millar, N., Covey, K., Bettigole, C., Jagadamma, S., Loeffler, F., Kolodney, S.”</p><p>In the affiliations list, the following affiliation was missing for S. Kolodney:</p><p>Department of Plant Science and Landscape Architecture, University of Maryland.</p><p>In the Author Contributions list, the following contribution was missing for S. Kolodney:</p><p>“Resources”</p><p>Finally, in the Acknowledgments section, the author name, Shalyland Kolodey, was mistakenly left in the second sentence. The sentence should read, “We also acknowledge soil sampling by Zoe Pagliaro and lab soil handling by Nicholas Hannon, Jeremiah Vallotton, and Audrey Lafley.”</p><p>We apologize for these errors.</p>","PeriodicalId":7522,"journal":{"name":"Agronomy Journal","volume":"117 2","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agj2.70044","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143639223","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}
引用次数: 0
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