European Journal of Agronomy最新文献

{"title":"Input uncertainty in CSM-CERES-wheat modeling: Dry farming and irrigated conditions using alternative weather and soil data","authors":"Milad Nouri ,&nbsp;Gerrit Hoogenboom ,&nbsp;Shadman Veysi","doi":"10.1016/j.eja.2024.127401","DOIUrl":"10.1016/j.eja.2024.127401","url":null,"abstract":"<div><div>In the current study, the uncertainties of wheat modeling using gridded soil and weather datasets were analyzed under dry farming and irrigated conditions. In this regard, the performance of the CSM-CERES-Wheat model forced with different weather-soil data combinations was studied in some dryland regions in Iran based on normalized Root Mean Square Error (nRMSE), Kling-Gupta Efficiency (KGE), and Percent Bias (PBIAS). The data combination scenarios were W_S-S_O: soil observations and gridded weather datasets including ERA5-Land (W_E-S_O) and the combinations of non-precipitation ERA5-Land forcings with CHIRPS (W_CE-S_O) and PERSIANN-CDR (W_PE-S_O), SoilGrids250m gridded soil data and weather observations (W_O-S_S), and soil and weather observations (W_O-S_O). Although the CHIRPS-ERA5L improved simulations relative to ERA5-Land and PERSIANN-CDR-ERA5-Land, there was still an nRMSE greater than 30 %, a KGE below 0.50, and an absolute PBIAS exceeding 25 % for dry farming yield in most drylands under W_S-S_S and W_S-S_O, indicating significant input uncertainties. The high uncertainty in dry farming wheat yield under W_S-S_S and W_S-S_O can be attributed to the uncertainties in simulating the water stress index in CSM-CERES-Wheat. The dry farming wheat yield was, however, simulated satisfactorily with SoilGrids250m products for W_O-S_S. The dry farming wheat yield showed the largest sensitivity to the uncertainty in precipitation forcing. The notable uncertainty in water stress simulation, and therefore in dry farming yield, appears to stem from the high uncertainty in precipitation products. These findings demonstrate that dry farming modeling is subject to notable input uncertainty when reliable meteorological records are lacking in our study area. SoilGrids250m can be reliably used to model wheat yield under dry farming conditions in the study area when weather observations are available. However, the applicability of SoilGrids250m largely depends on the availability of regional soil observations. Irrigated wheat yield was successfully simulated due to the reduced uncertainty in water stress. Therefore, using alternate weather-soil data provides a robust solution to data unavailability when wheat water requirements are sufficiently met. Nonetheless, caution is needed when using gridded weather datasets to force the CSM-CERES-Wheat model for dry farming.</div></div>","PeriodicalId":51045,"journal":{"name":"European Journal of Agronomy","volume":"162 ","pages":"Article 127401"},"PeriodicalIF":4.5,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142560672","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":"Research on tomato disease image recognition method based on DeiT","authors":"Changxia Sun ,&nbsp;Yong Li ,&nbsp;Zhengdao Song ,&nbsp;Qian Liu ,&nbsp;Haiping Si ,&nbsp;Yingjie Yang ,&nbsp;Qing Cao","doi":"10.1016/j.eja.2024.127400","DOIUrl":"10.1016/j.eja.2024.127400","url":null,"abstract":"<div><div>Tomatoes, globally cultivated and economically significant, play an essential role in both commerce and diet. However, the frequent occurrence of diseases severely affects both yield and quality, posing substantial challenges to agricultural production worldwide. In China, where tomato cultivation is carried out on a large scale, disease prevention and identification are increasingly critical for enhancing yield, ensuring food safety, and advancing sustainable agricultural practices. As agricultural production scales and the demand for efficient methodologies grows, traditional disease recognition methods no longer meet current needs. The agricultural sector's move towards more modern and scalable production methods necessitates more effective and precise disease recognition technologies to support swift decision-making and timely preventive actions. To address these challenges, this paper proposes a novel tomato disease recognition method that integrates the data-efficient image transformers (DeiT) model with strategies like exponential moving average (EMA) and self-distillation, named EMA-DeiT. By leveraging deep learning technologies, this method significantly improves the accuracy of disease recognition. The enhanced EMA-DeiT model demonstrated exemplary performance, achieving a 99.6 % accuracy rate in identifying ten types of tomato leaf diseases within the PlantVillage public dataset and 98.2 % on the Dataset of Tomato Leaves, which encompasses six disease types. In generalization tests, it achieved 97.1 % accuracy on the PlantDoc dataset and 97.6 % on the Tomato-Village dataset. Utilizing the improved DeiT model, a comprehensive tomato disease recognition system was developed, featuring modules for image collection, disease detection, and information display. This system facilitates an integrated process from image collection to intelligent disease analysis, enabling agricultural workers to promptly understand and respond to disease occurrences. This system holds significant practical value for implementing precision agriculture and enhancing the efficiency of agricultural production.</div></div>","PeriodicalId":51045,"journal":{"name":"European Journal of Agronomy","volume":"162 ","pages":"Article 127400"},"PeriodicalIF":4.5,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142555033","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 nitrogen nutrition index as a tool to assess nitrogen use efficiency in potato genotypes","authors":"Patricio Sandaña ,&nbsp;Carolina X. Lizana ,&nbsp;Dante Pinochet ,&nbsp;Rogério P. Soratto","doi":"10.1016/j.eja.2024.127397","DOIUrl":"10.1016/j.eja.2024.127397","url":null,"abstract":"<div><div>Enhancing nitrogen (N) use efficiency (NUE) is crucial for the sustainable production of potatoes (<em>Solanum tuberosum</em> L.). The aims of this study were to assess i) the genotypic variation of the main components of NUE (N utilization efficiency (NUTE) and N recovery efficiency (NRE)), ii) the association between these components, related traits, and cultivars, and iii) the usefulness of N nutrition index (NNI) to assess NUTE and NRE of potato genotypes grown under different levels of N availability. Two field experiments were carried out in Chile during the season 2021–2022. Treatments were the combination of 15 potato cultivars and three rates of N (0, 200, and 400 kg N ha⁻¹). High variations were observed in total dry matter biomass (DM) (5.9–22.1 Mg ha⁻¹), tuber DM biomass (5.1–18.3 Mg ha⁻¹), total N concentration (1.01–2.24 %), total N uptake (98–323 kg ha⁻¹), NUTE (35–91 kg tuber DM kg⁻¹ N), and NRE (−14–54 %). Total N uptake was significantly related to total DM biomass and traits related to N concentration and N uptake. In both experiments, strong negative correlations were observed between total N concentration and NUTE (<em>r</em> = −0.95 – −0.98). Also, NUTE and N harvest index were positively correlated. The relationship between NUTEtub and NNI was well described (<em>p</em> &lt; 0.01; <em>R</em>^<em>2</em> = 0.55–0.87) by a negative power function. The predicted average of NUTEtub for a NNI = 1 (optimal N status) showed a narrow range (49.5–56.9 kg DM kg⁻¹ N). Both relative tuber yield and relative total biomass were significantly related to NNI (<em>R</em>^<em>2</em> = 0.56 and 0.66). The cultivar Desiree, Karu-INIA, and Shepody were among the cultivars with the highest NNI. A significant positive relationship (<em>p</em> &lt; 0.01; <em>R</em>^<em>2</em> = 0.42) was observed between NRE and NNI. This study demonstrates the effectiveness of the NNI in evaluating and interpreting NUTE and NRE based on genotype and nitrogen supply, ultimately enhancing decision support for improving NUE in potato production systems.</div></div>","PeriodicalId":51045,"journal":{"name":"European Journal of Agronomy","volume":"162 ","pages":"Article 127397"},"PeriodicalIF":4.5,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142538449","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":"Optimization of trellis design and height for double-season hop (Humulus lupulus L.) production in a subtropical climate: Growth, morphology, yield, and cone quality during establishment years","authors":"Mariel Gallardo,&nbsp;Shinsuke Agehara,&nbsp;Jack Rechcigl","doi":"10.1016/j.eja.2024.127415","DOIUrl":"10.1016/j.eja.2024.127415","url":null,"abstract":"<div><div>Photoperiod manipulation using supplemental lighting enables double-season production of hops (<em>Humulus lupulus</em> L.) under subtropical climatic conditions. In Florida, United States, the spring growing season (Spring) is from February to June, and the fall growing season (Fall) is from June to November. To develop the optimum trellis for this unique hop production system, we examined the effects of two trellis designs (straight trellis and V-trellis) and three trellis heights (3.7, 4.6, and 5.5 m) on growth, morphology, yield, and cone quality of 'Cascade' hops grown in west central Florida. The straight trellis had two twines per hill installed on a top middle cable, whereas the V-trellis had four twines per hill installed on two top parallel cables. We trained 16 bines per hill for both trellises. Data were collected during establishment years: Year 1 and Year 2. Yield showed significant season × trellis height interaction effects. Surprisingly, yield was highest in Year 1 Spring and decreased by 45–74 % in the subsequent seasons. Increasing trellis height from 3.7 to 5.5 m increased yield by 78–215 %. On average, the V-trellis produced 24 % higher yield than the straight trellis. The 5.5-m V-trellis produced the highest annual yield of 1807 kg ha^–1 in Year 1. Yield had a significant positive correlation with stem dry weight in Year 1 Spring and Year 2 Spring, but it had no significant correlation with bine number per hill, stem diameter, and internode length in any season. Cone quality showed significant seasonal variations. Total α acid concentration decreased from Spring to Fall in both years and recorded the highest value in Year 2 Spring. Similarly, total essential oil content was highest in Year 2 Spring. Except in Year 2 Fall, total α acid concentration (5.35–8.25 %) was within or above the normal range for ‘Cascade’. Compared to these seasonal variations, trellis design and height effects on cone quality were relatively small. These results suggest that, during establishment years, adopting a V-trellis design and increasing trellis height can maximize yield in subtropical hop production without compromising overall cone quality. Ongoing research will validate these findings in mature hop plants.</div></div>","PeriodicalId":51045,"journal":{"name":"European Journal of Agronomy","volume":"162 ","pages":"Article 127415"},"PeriodicalIF":4.5,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142533641","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":"Energy, environmental footprints and economic benefit of substituting inorganic fertilizer with organic manure for winter wheat in Huanghuaihai Plain","authors":"Lei Wang ,&nbsp;Jianjie Bi ,&nbsp;Jing Chen,&nbsp;Baizhao Ren,&nbsp;Bin Zhao,&nbsp;Peng Liu,&nbsp;Shubo Gu,&nbsp;Shuting Dong,&nbsp;Jiwang Zhang","doi":"10.1016/j.eja.2024.127394","DOIUrl":"10.1016/j.eja.2024.127394","url":null,"abstract":"<div><div>Manure substitution shows promise for nitrogen (N) management, food security, energy balance and environmental costs reduction. However, there is limited research on this practice in the Huanghuaihai Plain. This study aimed to investigate the energy use efficiency, economic benefits, carbon and nitrogen footprint under two types of N fertilizer (U, urea and M, organic manure), two application rates of N (180 kg N ha⁻¹, U1 for 100 % urea and M1 for 100 % organic manure; 90 kg N ha⁻¹, U2 for 50 % urea and M2 for 50 % organic manure) and no fertilizer application treatment (CK) for winter wheat from 2017 to 2019. Results showed that grain yield and agricultural input cost under N application rate of 90 kg N ha⁻¹ was 15.5 % and 7.8 % lower than that of 180 kg N ha⁻¹, respectively, leading to a significant decrease in economic benefit. Under the same N rate, M1 obtained higher grain yield than U1, grain yield of M2 did no differ in that of U2. Total energy inputs and agricultural input costs of M were 9.5 % and 3.6 % lower than U, resulting in higher energy use efficiency and economic benefit. The reduced agricultural input for M was primarily due to a decrease in the application of inorganic fertilizer. Compared with other treatments, U2+M2 obtained higher grain yield, energy use efficiency, and economic benefit. The carbon and nitrogen footprint on unit grain yield of U1 was increased by 13.7 %-24.1 % and 3.9 %-19.6 %, which was attributed to the increase in direct N₂O emissions, indirect carbon emission and losses of reactive N from agricultural inputs. Overall, U2+M2 sustained high productivity and reduced the environmental impact. Substituting inorganic fertilizer with organic manure was a promising strategy to improve agricultural production with less agricultural inputs and environmental footprints in the Huanghuaihai Plain.</div></div>","PeriodicalId":51045,"journal":{"name":"European Journal of Agronomy","volume":"162 ","pages":"Article 127394"},"PeriodicalIF":4.5,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142533640","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":"Integrating genomics with crop modelling to predict maize yield and component traits: Towards the next generation of crop models","authors":"Xiaoxing Zhen ,&nbsp;Jingyun Luo ,&nbsp;Yingjie Xiao ,&nbsp;Jianbing Yan ,&nbsp;Bernardo Chaves Cordoba ,&nbsp;William David Batchelor","doi":"10.1016/j.eja.2024.127391","DOIUrl":"10.1016/j.eja.2024.127391","url":null,"abstract":"<div><div>Conventional breeding of ideotypes for target environments is quite challenging because of the genotype by environment interaction and the nature of the genetic complexity for economic traits. Simulation of the adaptive capacity of existing and new germplasms using crop model and genetic information can efficiently assist in determining the potential of well-adapted genotypes for target environments. This study aimed to design a marker-based model by detecting associated markers for target traits associated with model input parameters and incorporating the genetic effects into the CERES-Maize model. To achieve this goal, a two-year trial with 282 maize genotypes across five locations in Northern China was conducted for phenotypic and genotypic data collection. The marker effects on target traits were integrated with crop model to develop a marker-based model. The performance of the integrated model was tested using four independent sub-datasets, (i) observed genotypes grown in observed environments; (ii) observed genotypes phenotyped in new environments; (iii) new genotypes in characterized environments; and (iv) new genotypes in new environments. The model simulated the anthesis date, kernel number, kernel weight and yield reasonably well across 282 genotypes. The marker-based prediction performance of simpler morphological traits, such anthesis date and kernel number were generally improved compared to highly complex quantitative traits, such as kernel weight and yield. The performance of the model was affected by new genotypes or new environments depending on the types of traits being simulated. Maker-based simulation of maize yield and its component traits across five locations and 37 years in Northern China was used as a case study to demonstrate the model applications for studying genotype–environment interactions. The biplot revealed the top yielding genotypes and most ideal environment by comparing yield performance and stability of 282 genotypes in five phenotyping sites under both water-limited and well-water conditions. Breeding programs could further exploit marker-based modelling to predict adaptation in diverse environmental and management conditions for new genotypes before they are globally distributed for multilocation yield testing.</div></div>","PeriodicalId":51045,"journal":{"name":"European Journal of Agronomy","volume":"162 ","pages":"Article 127391"},"PeriodicalIF":4.5,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142533639","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":"Responsive root traits and mitigating strategies for wheat production under single or combined abiotic stress","authors":"Si Chen ,&nbsp;Lizhi Long ,&nbsp;Xiaolei Sun ,&nbsp;David Parsons ,&nbsp;Zhenjiang Zhou","doi":"10.1016/j.eja.2024.127393","DOIUrl":"10.1016/j.eja.2024.127393","url":null,"abstract":"<div><div>The frequency of abiotic stress impairing wheat root growth and yield production has been increasing with global warming. Diverse root traits have been widely targeted to improve wheat adaptivity to different abiotic stress, but most research has been conducted under controlled environments with a single stress factor, hindering transferability to fields conditions with multiple stresses. It is essential to distinguish the valuable root traits for both individual and combined abiotic stresses, and identify agronomic practices that can mitigate the detrimental effects on wheat production. This review summarizes morphological, physiological and anatomical root traits of wheat under stresses of drought, soil compaction, nitrogen (N) and phosphorus (P) deficiency, and waterlogging. Variations of root traits are further discussed under the co-occurrence of these abiotic stresses. In general, thick wide-angle seminal roots, deep sparse roots, and lengthy laterals roots are superior root traits under the stress combinations of drought combined with either soil compaction, N deficiency, or P deficiency. Dense adventitious, thin and sparse roots, and lengthy laterals with aerenchyma formation are superior root traits under the stress combinations of waterlogging combined with either soil compaction, N deficiency, or P deficiency. Wheat production loss from multiple stress conditions can be relieved by optimal crop and soil management strategies, including fertigation and subsurface drainage. Future development of wheat production should focus on taking advantage of adaptative root traits and agronomic optimization.</div></div>","PeriodicalId":51045,"journal":{"name":"European Journal of Agronomy","volume":"162 ","pages":"Article 127393"},"PeriodicalIF":4.5,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142533637","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 Jyndevad Experiment: Revealing long-term interactions between liming and phosphorus fertilization in a coarse sand soil","authors":"Ingeborg F. Pedersen,&nbsp;Jørgen Eriksen,&nbsp;Bent T. Christensen,&nbsp;Gitte H. Rubæk","doi":"10.1016/j.eja.2024.127392","DOIUrl":"10.1016/j.eja.2024.127392","url":null,"abstract":"<div><div>The Jyndevad field experiment, initiated in 1942 on a coarse sand soil in South of Denmark, explores the effect of four liming levels (0, 4, 8 and 12 Mg lime ha⁻¹). These were in 1944 combined with two levels of mineral phosphorus (P) fertilizer (0 and 15.6 kg P ha⁻¹ year⁻¹), with or without a high initial dose of 156 kg mineral P ha⁻¹. This study assesses interactions between liming and P fertilization on soil pH, Olsen-P contents and barley yields covering the last three decades. Annual P application improved barley yield regardless of liming, but the optimal liming level differed from year to year. This emphasizes the need for long-term field experiments to detect the complex interactions between liming and P availability on crop performance. The initial high P dose in 1944 and annual P fertilization increased Olsen-P contents in soil. The unlimed soil with pH(CaCl₂) values below 4 had the highest Olsen-P content. The Jyndevad Experiment now harbors wide gradients in soil P (Olsen-P contents: 9–82 mg P kg⁻¹ soil) and pH (3.6–6.9), providing a unique research platform for future studies on interactions between liming and P fertilization on coarse sand soils. We present a selection of studies that have used the Jyndevad Experiment to illustrate the research potential of the experiment.</div></div>","PeriodicalId":51045,"journal":{"name":"European Journal of Agronomy","volume":"162 ","pages":"Article 127392"},"PeriodicalIF":4.5,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142533638","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":"Increasing nitrogen application is predicted to alleviate the effects of climate warming on maize yield reduction and maintain the dietary supply of wheat and maize protein","authors":"Yuanling Zhang ,&nbsp;Heng Fang ,&nbsp;Xiaobo Gu ,&nbsp;Haowei Yin ,&nbsp;Yuyi Zhang ,&nbsp;Yadan Du ,&nbsp;Huanjie Cai ,&nbsp;Yuannong Li","doi":"10.1016/j.eja.2024.127396","DOIUrl":"10.1016/j.eja.2024.127396","url":null,"abstract":"<div><div>High temperature is known to reduce crop yield, while increased nitrogen (N) application will increase crop grain and protein yields to a certain extent. However, there are few studies on the effects of different N application treatments on crop yield and protein under climate warming in different wheat-maize rotation cultivation sites. Therefore, by utilizing the APSIM model, we investigated crop yield, yield components, grain N contents, and biomass N content across 71 key sites of wheat-maize rotation cultivation systems in China. Four N treatments of 0, 90, 180 and 270 kg N ha^–1 (N0, N90, N180 and N270) were applied before sowing in both wheat and maize seasons. The APSIM model was calibrated and validated using data of yield and grain N content. We predicted regional differences in crop yield and grain N content under a warming 2°C scenario. There were regional differences in the effects of increased N application treatments and warming 2°C on wheat and maize yields, yield components and grain N contents. Increased N application improved maize 1000-grain weight and wheat grain number, and consequently affected crop yield and grain N content but reduced N translocation from plants to grains (NHI), especially in areas with more precipitation in wheat season and higher temperature in maize season. Warming shortened the duration of the reproductive growth period in maize by 6.2–9.5 d but lengthened it in wheat by 9.1–16.5 d. Furthermore, warming reduced maize yield mainly by decreasing maize 1000-grain weight and improved wheat yield mainly by increasing 1000-grain weight. Warming improved wheat grain N content and NHI under different N application treatments, especially in Shandong, Guanzhong, and Henan regions (0.86–1.98 kg ha^–1 and 0.01–0.27, respectively). However, warming reduced maize yield, grain N content and NHI by 4.1 %–10.9 %, 1.5 %–6.8 % and 0.7 %–6.1 %, respectively, under different N application treatments except in Guanzhong. Additionally, increasing N application rate could alleviate the negative effects of warming on maize yield and grain protein production. In 2050–2067 maintaining historical plantation area, the regional total maize protein supply population was projected to reduce by 962.17 and 388.95 million people under N application of N180 and N270 kg N ha^–1, respectively, compared with 2000–2017. The findings would provide scientific basis for N management strategies in wheat-maize rotation planting areas of China under climate warming.</div></div>","PeriodicalId":51045,"journal":{"name":"European Journal of Agronomy","volume":"161 ","pages":"Article 127396"},"PeriodicalIF":4.5,"publicationDate":"2024-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142538079","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":"Straw return can increase maize yield by regulating soil bacteria and improving soil properties in arid and semi-arid areas","authors":"Xiaoling Wang ,&nbsp;Rui Qian ,&nbsp;Yafang Han ,&nbsp;Zhe Ji ,&nbsp;Qingxuan Yang ,&nbsp;Longlong Wang ,&nbsp;Xiaoli Chen ,&nbsp;Kun Ma ,&nbsp;Kadambot H.M. Siddique ,&nbsp;Zhikuan Jia ,&nbsp;Xiaolong Ren","doi":"10.1016/j.eja.2024.127389","DOIUrl":"10.1016/j.eja.2024.127389","url":null,"abstract":"<div><div>Straw return has been found to benefit soil fertility and crop yield, however, by which it affects microbial communities to mediate soil factors driving crop yields under maize continuous cropping systems in dryland areas is still unclear. To fill this gap, a 6-year field experiment was established with five straw return amounts (T0, T1, T2, T3, and T4, representing 0, 3000, 6000, 9000, and 12,000 kg ha⁻¹ of straw, respectively), and investigated the effects of on soil properties, enzymes, bacterial community composition and diversity, and crop yields. Our analysis showed that soil organic carbon (SOC), total nitrogen (TN), and total phosphorus (TP) contents significantly increased by 1–8 %, 5–25 %, and 2–9 % under straw return treatments, respectively, compared to the T0, and soil catalase, urease, and alkaline phosphatase activities increased by at least 34.00 %. Additionally, crop yield significantly increased by 4.23–12.00 % under T1-T4 treatments, and showed highly significant relationships with SOC, TN, and TP. Importantly, we found straw return significantly altered the community of bacteria involved in the carbon and nitrogen cycle, and their abundance of strong responses depending on the amounts of straw return. For example, straw input increased the abundance of Proteobacteria (+2.64–5.57 %), Acidobacteria (+3.82–13.83 %), and Bacteroidetes (+15.37–30.49 %). Similarly, the amount of straw application increased the bacterial diversity indexes (Shannon, 2.65–10.93 %; Chao1, 13.47–18.50 %), and had significant positive correlations with SOC, TN, and TP contents. Structural equation models (SEM) revealed that straw return management practice had positive and indirect effects on crop yields by influencing soil properties or the bacteria community. In conclusion, our findings revealed common associations and variations of bacterial community diversity with soil factors and crop yields at different straw return rates, and these findings provide insights and options for the development of better straw return strategies and sustainable agriculture in semi-arid regions.</div></div>","PeriodicalId":51045,"journal":{"name":"European Journal of Agronomy","volume":"161 ","pages":"Article 127389"},"PeriodicalIF":4.5,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142538078","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}