Agricultural Research最新文献

{"title":"Development of a Macaúba Biochar-Based Inoculant as a Carrier for Rhizobium tropici","authors":"Vanislene B. da Silva,&nbsp;Marcio V. C. B. Côrtes,&nbsp;Kamilla R. Mendonça,&nbsp;Maythsulene I. S. Oliveira,&nbsp;Elder T. Barbosa,&nbsp;Lucas S. F. Guimarães,&nbsp;Enderson P. B. Ferreira","doi":"10.1007/s40003-026-00974-8","DOIUrl":"10.1007/s40003-026-00974-8","url":null,"abstract":"<div>\u0000 \u0000 <p>Peat remains a commonly utilized carrier in the formulation of rhizobial inoculants, particularly for common bean (<i>Phaseolus vulgaris</i> L.) cultivation. Given that peat is a finite resource, there is a significant demand for sustainable alternatives. This study aimed to assess the potential of using Macaúba biochar as a carrier for <i>Rhizobium tropici</i>. The shelf life of inoculants based on peat and Macaúba biochar was evaluated over a period of 180 days. Parameters like number of nodules (NN), nodule dry weight (NDW), root dry weight (RDW), root volume (RV), and shoot dry weight (SDW) were measured in common bean under in vitro and greenhouse conditions. Treatments included Peat-based inoculant (P), Macaúba biochar-based inoculant (B), Macaúba biochar-based inoculant with pH adjusted using HCl (B + HCl), Macaúba biochar-based inoculant supplemented with glycerol as a carbon source (B + Gl), and Macaúba biochar-based inoculant with both pH adjustment and glycerol supplementation (B + HCl+Gl). Control treatments were non-inoculated (ni) and inoculated (i) with shelf life tested at 15 (15) and 180 days (180). The B + HCl+Gl and B + Gl inoculants exhibited a similar shelf life to the P inoculant. In the in vitro assays, the Bi-180, Bi + HCl-180, and Bi-HCl + Gl-180 inoculants resulted in comparable NN and NDW in common bean to those observed with Pi-180. In the greenhouse experiments, the Bi-180 inoculant showed similar NN and NDW as the Pi-180, while the Bi + HCl-180 inoculant showed similar RV. Additionally, the Bi-180, Bi + HCl-180, and Bi-HCl + Gl-180 inoculants produced RDW and SDW values akin to those of the Pi-180. These findings suggest that Macaúba biochar is a viable alternative to peat in microbial inoculant formulation, providing an environmentally friendly and sustainable option.</p>\u0000 </div>","PeriodicalId":7553,"journal":{"name":"Agricultural Research","volume":"15 3","pages":"1678 - 1686"},"PeriodicalIF":1.5,"publicationDate":"2026-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s40003-026-00974-8.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148903600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing Source-Sink Dynamics, Genetic Variability, and Determinants of Dry Matter Partitioning in Synthetic-Derived Wheat Introgression Lines Under a Late Sowing Regime","authors":"Tavisha Singh,&nbsp;Seema Bedi,&nbsp;Achla Sharma,&nbsp;Satinder Kaur","doi":"10.1007/s40003-026-00954-y","DOIUrl":"10.1007/s40003-026-00954-y","url":null,"abstract":"<div><p>Synthetic hexaploid wheat (SHW) has proven to be a valuable genetic resource. When conventionally bred with modern wheat varieties, it presents new potential for improved yield under abiotic stress conditions. In the northwestern plain zones (NWPZ), the reproductive phase of wheat is particularly vulnerable to rising temperatures, known as terminal heat stress. This often causes leaf damage, which then affects the source of individual stems, and studying source-sink dynamics by imposing source-sink manipulations at the individual culm level seems important. Therefore, the present study was conducted on 15 wheat introgression lines (doubled haploids) obtained from two synthetic wheats and two hexaploid wheats (SHW14102 ×BWL4444, SHW14102 ×BWL3531, and SHW3761  × BWL4444). These lines were phenotyped for five yield-related spike traits under late sown condition for two consecutive years 2020–21 and 2021–22. The source-sink ratios were modified by removing alternate spikelet rows at the 50% anthesis stage. This reduced the grain number per ear by 37% and increased the single grain weight by 14%. However, the grain yield per plant was reduced by 9.2% and 1.95% under the sink and source manipulations, respectively. Hence, the source was not a limiting factor for grain yield in introgression lines, whereas the sink appeared to be a limiting factor. In the check cultivars, grain number per ear and grain yield per plant were reduced by 43% and 14% respectively, and single grain weight increased by only 9%. Further, flag leaf removal caused a reduction in plant yield by 3.75% which was more than in introgression lines. This study advocated the strong source-sink relationship in determining the potential introgression lines with superior photosynthetic activity (being derived from accessions having the stay green trait) as compared to check cultivars under terminal heat stress conditions. Further, path coefficient analysis showed that, under terminal heat stress and source–sink manipulations, GNpS remains the key determinant of yield stability. The strong direct effect of GNpS on grain yield suggests that selection for DHs with consistently higher grain number per spike is an effective strategy to enhance sink strength and secure yields under source-stressful conditions. This validates the breeding potential of synthetic hexaploid wheat backgrounds for developing heat-resilient cultivars in NWPZ environment.</p></div>","PeriodicalId":7553,"journal":{"name":"Agricultural Research","volume":"15 3","pages":"1559 - 1568"},"PeriodicalIF":1.5,"publicationDate":"2026-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148903236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Decision Support System for Maximizing Wheat Productivity in India","authors":"Samarth Godara,&nbsp;Ram Swaroop Bana,&nbsp;K. K. Chaturvedi,&nbsp;S. B. Lal","doi":"10.1007/s40003-025-00946-4","DOIUrl":"10.1007/s40003-025-00946-4","url":null,"abstract":"<div>\u0000 \u0000 <p>Obtaining optimal environmental values is crucial in agriculture for maximising crop yield and ensuring sustainable production. In this direction, the current study presents a novel approach to optimise statewide wheat yield in India, by developing a Decision Support System (DSS) based on Deep Learning (DL)-integrated with Response Surface Methodology (RSM). The dataset used in the present study consists of over eight years (2012–2020) of environmental data along with the wheat yield data collected across the districts of Madhya Pradesh. Leveraging this extensive dataset, the study employed a DL-based framework to analyse the complex relationships between environmental variables and wheat yield. The study results show that the developed crop yield estimation model’s metrics on testing data include RMSE: 0.83 t/ha, MAE: 0.66 t/ha, MAPE: 24.0%, and RRMSE: 0.27. In addition, by integrating DL with RSM, optimal levels of these environmental variables were determined to maximise wheat yield. The resulting recommendations serve as a foundation for the DSS, offering actionable insights for irrigation management and temperature control in wheat fields.</p>\u0000 </div>","PeriodicalId":7553,"journal":{"name":"Agricultural Research","volume":"15 3","pages":"1969 - 1978"},"PeriodicalIF":1.5,"publicationDate":"2026-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148903598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of Nitrogen and Maize Straw on Soil Nitrogen Transformation, Farm Profitability, and Wheat Yield: Balancing Productivity and Environmental Sustainability","authors":"Siddique Ahmad,&nbsp;Wenjing Song,&nbsp;Yanling Mu,&nbsp;Xiaobin Zhang,&nbsp;Shuping Xiong,&nbsp;Muhammad Arif,&nbsp;Muhammad Amjad,&nbsp;Laiba Urooj,&nbsp;Basit Ullah,&nbsp;Xinming Ma,&nbsp;Yihao Wei","doi":"10.1007/s40003-026-00964-w","DOIUrl":"10.1007/s40003-026-00964-w","url":null,"abstract":"<div><p>Mitigating nitrogen (N) losses, particularly nitrous oxide (N₂O) emissions from excessive sole-N fertilizer use, is critical for environmental and agronomic sustainability. This two-year study evaluates the effects of integrating maize straw (MS) with N fertilizer on N transformation, wheat yield, and farm profitability while assessing all N₂O emission sources to refine global estimates. Higher N (160 kg ha⁻¹) and MS (9 t ha⁻¹) rates enhanced nitrification and denitrification due to increased microbial activity, improving nitrate (NO₃⁻) availability but also increasing N₂O emissions. These emissions peaked at 124 days after sowing (DAS) in both years. However, integrating N and MS reduced N losses in the second year. The study provides insights into plant-mediated N₂O emissions, demonstrating minimal reliance on external inputs using the plant-cutting method. Correlation and principal component analysis highlight integrated N and MS management as crucial for improving productivity, reducing N₂O emissions, and enhancing soil health. Economic analysis confirms that combining N and MS significantly increases wheat profitability, with all treatments achieving a value-cost ratio &gt; 2. Balanced fertilization (120 kg N ha⁻¹ and 6 t MS ha⁻¹) optimizes yield, reduces environmental impacts, and sustains soil health long-term.</p></div>","PeriodicalId":7553,"journal":{"name":"Agricultural Research","volume":"15 3","pages":"1842 - 1858"},"PeriodicalIF":1.5,"publicationDate":"2026-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148903563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Beneficial Microorganisms Mediating Wheat Responses to Abiotic Stress: Advances and Perspectives","authors":"Xintong Liu,&nbsp;Haifeng Liu,&nbsp;Muhammad Farooq,&nbsp;Kadambot H. M. Siddique,&nbsp;Fasih Ullah Haider,&nbsp;Xiangnan Li","doi":"10.1007/s40003-026-00971-x","DOIUrl":"10.1007/s40003-026-00971-x","url":null,"abstract":"<div>\u0000 \u0000 <p>Wheat is a globally vital staple cereal crop and a cornerstone of food security; yet, its production is increasingly constrained by abiotic stresses, including extreme temperature fluctuations, drought, salinization, and heavy metal contamination. These stressors disrupt cellular homeostasis, impair photosynthesis, and compromise grain yield and quality. Beneficial microorganisms derived from wheat and soil microbiomes have emerged as key mediators of resilience; however, current knowledge remains fragmented. In particular, the dynamics of wheat–microbe interactions under combined or fluctuating stress conditions are poorly understood. Microbes employ diverse mechanisms to enhance stress tolerance, including modulation of antioxidant defence systems, improvement of nutrient acquisition, regulation of phytohormone pathways, secretion of extracellular polysaccharides, and remodelling of stress-responsive gene expression. This review synthesizes recent advances in understanding these processes and highlights the dual roles of soil and rhizosphere microbial communities in supporting wheat health. We also discuss microbial strategies that promote stress resilience, including the activation of defence-related genes, the secretion of bioactive metabolites, and the recruitment of beneficial consortia. Despite progress, significant knowledge gaps remain regarding community-level mechanisms and their translation to field conditions, where plants experience multiple, overlapping stresses. Future research should integrate multi-omics, spatiotemporal mapping of plant–microbe interactions, and SynComs to resolve key knowledge gaps. While microbial interventions show strong potential to enhance wheat stress resilience, further progress will require clearly require linking microbial functions to yield- related traits and validating candidate inoculants through replicated multi-location field trials. Achieving these goals will depend on coordinated interdisciplinary collaboration across microbiology, soil science, agronomy, breeding, formulation and industry, data science, as well as strong engagement with on-farm research networks.</p>\u0000 </div>","PeriodicalId":7553,"journal":{"name":"Agricultural Research","volume":"15 3","pages":"1522 - 1536"},"PeriodicalIF":1.5,"publicationDate":"2026-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148903358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deciphering the Genetic Determinants of Bull Fertility through QTL-Linked SNP Analysis","authors":"Manish Kumar Sinha,&nbsp;Pradeep Nag,&nbsp;Arumugam Kumaresan,&nbsp;Thirumala Rao Talluri,&nbsp;John Peter Ebenezer Samuel King,&nbsp;Arsha shaji,&nbsp;Shivanagouda Patil,&nbsp;Anand Kumar Yadav,&nbsp;Kishan Kumar Fataniya,&nbsp;V. Aranganathan","doi":"10.1007/s40003-026-00966-8","DOIUrl":"10.1007/s40003-026-00966-8","url":null,"abstract":"<div>\u0000 \u0000 <p>Reproductive efficiency is vital for dairy industry profitability, yet the genetic basis of bull fertility remains underexplored. This study employed high-throughput sequencing to investigate single nucleotide polymorphisms (SNPs) within fertility quantitative trait loci (QTLs) in bulls with contrasting fertility profiles. In this study, a total of 31,631 genome-wide SNPs were identified, of which 23,674 resided within fertility QTL s. Among these, 198 and 192 significant variants were associated with high-fertility (HF) and low-fertility (LF) bulls, respectively. HF bulls exhibited 599 unique SNPs within QTLs linked to pathways critical for sperm maturation, capacitation, and fertilization competence, such as the WNT signaling pathway, exocytosis, and calcium regulation. Conversely, LF bulls harbored 578 unique SNPs, including mutations in DNA repair genes like NHEJ1 and WRN, potentially compromising genetic stability and increasing apoptosis. Functional annotations highlighted key mutations in genes such as TYR, FYB2, and AP1G2 in HF bulls. TYR, involved in reactive oxygen species (ROS) regulation, emerged as a promising candidate for reducing oxidative damage and enhancing sperm integrity. Validation through ARMS-PCR and Sanger sequencing confirmed these mutations’ relevance. These findings underscore the potential of SNP-based markers for precision breeding and emphasize the need for functional validation across larger populations to improve dairy herd reproductive efficiency.</p>\u0000 </div>","PeriodicalId":7553,"journal":{"name":"Agricultural Research","volume":"15 3","pages":"1892 - 1901"},"PeriodicalIF":1.5,"publicationDate":"2026-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148903357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pollen Pistil Interaction Studies of Pigeonpea Wide Crosses","authors":"Thanga Hemavathy Arumugam,&nbsp;Kalaiyarasi Ramachandran,&nbsp;Karthiba Loganathan,&nbsp;Kavitha Shanmugam,&nbsp;VInoth Ramu,&nbsp;Kanimoli Mathivathana,&nbsp;Samyuktha Santhi Madhavan","doi":"10.1007/s40003-026-00948-w","DOIUrl":"10.1007/s40003-026-00948-w","url":null,"abstract":"<div><p>The research deals with cytological investigation on pre and post-fertilization barriers in <i>Cajanus cajan</i> (Pigeonpea variety CO 8) and wild species <i>C. cajanifolius</i> and the pollen fertility assessment and in-vitro pollen germination in <i>Cajanus scarabaeoides</i>. Pollen-pistil interaction in wide crosses could be analysed by aniline blue technique. At 2 HAP and 24 HAP. The higher and lower pollen germination percentage was found in direct and reciprocal crosses of two pigeonpea species <i>C. cajanifolius</i> and <i>Cajanus scarabaeoides</i> respectively. In direct and reciprocal cross, mean pollen germination percentage was 73.6 and 60.4% respectively. In direct cross, pod set percent is very less, due to post-zygotic fertilization barrier. In reciprocal cross, there is no pod set which indicates pre-zygotic fertilization barrier. Acetocarmine pollen fertility test reveals that <i>Cajanus cajan</i> (CO 8) is more fertile than <i>Cajanus cajanifolius</i> and hence the former one being good pollen-producing parent in terms of fertility. The best medium for in vitro pollen germination for <i>Cajanus scarabaeoides</i> isBrewbaker and Kwack medium (20% sucrose, 100mgl^− 1 boric acid, 300mg^− 1 calcium nitrate, 200mg^− 1 magnesium sulphate and 100mg^− 1 potassium nitrate). The findings were compared and strategies to alleviate the pre- and post-fertilization barriers and revealed that chromosomes have a degree of homology between <i>C. cajanifolius</i> and <i>C. cajan</i>, which is further aided by their quick crossability and production of a fertile hybrid.</p></div>","PeriodicalId":7553,"journal":{"name":"Agricultural Research","volume":"15 3","pages":"1552 - 1558"},"PeriodicalIF":1.5,"publicationDate":"2026-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148903359","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Salinity Stress Tolerance at the Reproductive Stage in Rice: Evidence from Recombinant Inbred Lines of the Landrace Bura Rata","authors":"Suman Rathor,&nbsp;S. L. Krishnamurthy,&nbsp;Shailendra Kumar Arya,&nbsp;B. M. Lokeshkumar,&nbsp;P. C. Sharma,&nbsp;R. K. Ellur,&nbsp;Ashish Nain,&nbsp;Pradeep Sharma,&nbsp;Ankit Rathore,&nbsp;J. R. Meghashree","doi":"10.1007/s40003-026-00973-9","DOIUrl":"10.1007/s40003-026-00973-9","url":null,"abstract":"<div><p>The present study mainly focusing on phenotyping a RIL population derived from the cross Pusa 44 (Salinity-sensitive) x Bura Rata (Salinity tolerance) to elucidate the genetic basis of salinity tolerance. The RIL population was evaluated with two replications along with parents Pusa44 and Bhura Rata in an alpha lattice design at the microplot of ICAR-CSSRI, Karnal for two years. The mean grain yield was range of 642 to 4536 kg/ha, while spikelet fertility was ranged from 8.6% to 87.6% with means 48.10. %. The analysis of correlation uncovered a strong positive relationship between grain yield and spikelet fertility (<i>r</i> = 0.87**), whereas vigor score showed a significant negative correlation with both grain yield (<i>r</i> = − 0.89**) and spikelet fertility (<i>r</i> = − 0.80**). Principle component analysis indicated that that 78.88% of the total variability was explained by three components. The tolerant RILs namely, RIL 280, RIL302, RIL299, RIL246, RIL222 and RIL307 exhibited low vigor scores, high spikelet fertility (&gt; 78%), and high grain yield (&gt; 3000 kg/ha). These, promising salt-tolerant RILs can be nominated to multi-location trials (MLT) trails for varietal release or can be directly used in further breeding programs. The resulting phenotyping data can also be utilized for QTL identification and for dissecting the genetic mechanisms underlying salinity tolerance.</p></div>","PeriodicalId":7553,"journal":{"name":"Agricultural Research","volume":"15 3","pages":"1569 - 1580"},"PeriodicalIF":1.5,"publicationDate":"2026-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148903373","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Augmenting Seed Potato Production Through Integration of Aeroponics, Apical Rooted Cuttings and Sprout Cutting Techniques: A Comprehensive Review","authors":"Murlidhar J. Sadawarti,&nbsp;S. P. Singh,&nbsp;Tanuja Buckseth,&nbsp;Vinod Kumar,&nbsp;Rajesh K. Singh,&nbsp;Ashwani K. Sharma,&nbsp;Subhash Katare,&nbsp;Pooja Jatav,&nbsp;Deepanshi Deora,&nbsp;Priyadarshani Khambalkar,&nbsp;R. K. Samadhiya,&nbsp;Brajesh singh","doi":"10.1007/s40003-026-00972-w","DOIUrl":"10.1007/s40003-026-00972-w","url":null,"abstract":"<div>\u0000 \u0000 <p>Providing high-quality potato seed at an affordable price and at the right time remains a major concern for seed-producing agencies worldwide. At present, seed potato production largely relies on the conventional system, which faces several bottlenecks such as a low multiplication rate (1:6), high seed tuber requirement, accumulation of degenerative diseases, perishability, bulkiness, and a slow process of generating 100% healthy seed stock. To address these challenges, rapid multiplication techniques (RMTs) have gained prominence. This review focuses on few new technologies which can transform seed potato production system. Among them, the aeroponic system has high multiplication rate (1:20–80) with challenge of high initial investment and requiring technical skill. Apical rooted cuttings (ARC) and sprout cuttings have shown great potential for large-scale seed multiplication, being both cost-effective and farmer-friendly but more labore intensive. Each ARC cutting can produce 7–10 tubers, and in some cases more than 15, while a well-established sprout cutting can yield 6–11 tubers per sprout. These techniques are also being actively promoted for integration into formal seed potato production systems, with the aim of improving seed availability and accessibility for farmers.</p>\u0000 </div>","PeriodicalId":7553,"journal":{"name":"Agricultural Research","volume":"15 3","pages":"1537 - 1543"},"PeriodicalIF":1.5,"publicationDate":"2026-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148903657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unveiling the Impact of Green Agricultural Technology Innovation on New-Type Urbanization: Empirical Evidence from China","authors":"Chuanjian Yi,&nbsp;Bo Xu,&nbsp;Jing Chen","doi":"10.1007/s40003-025-00900-4","DOIUrl":"10.1007/s40003-025-00900-4","url":null,"abstract":"<div><p>This study investigates the nonlinear impact of green agricultural technology innovation (GATI) on China’s new-type urbanization (NTU), emphasizing its multidimensional mechanisms and the moderating role of agricultural human capital. Using panel data from 30 Chinese provinces (2008–2021), we employ dynamic econometric models, including fixed-effects regression and mediation analysis, to empirically test the U-shaped relationship between GATI and NTU. Key findings reveal: (1) A robust U-shaped curve characterizes the GATI-NTU nexus, where initial inhibitory effects transition to significant promotion as GATI surpasses a threshold (inflection point: 1.309 AGTFP units). (2) GATI indirectly enhances NTU by elevating agricultural economic output (+ 0.269 via Lnael), residents’ living standards (− 0.357 via Engel coefficient), social security (+ 0.326 via mechanization), and mitigating air pollution (− 0.0428 via SO₂ reduction). (3) Agricultural human capital critically moderates this relationship, shifting the U-curve inflection point leftward (to 0.85 AGTFP units), accelerating positive impacts under higher human capital accumulation. Spatial heterogeneity highlights stronger GATI-driven urbanization effects in eastern China (<i>β</i> = 0.24, <i>p</i> &lt; 0.05), while temporal analysis identifies a 3–4-year “golden window” for maximizing returns on green technology investments. (4) Research reveals green technology plays a pivotal role in reshaping social structures. The study advances theoretical frameworks by integrating technology–economy–society–environment pathways and challenges deterministic views of technological adoption, offering policymakers actionable insights for aligning GATI diffusion with urbanization stages and human capital development. These findings underscore the necessity of multidimensional, region-specific strategies to synchronize agricultural modernization with sustainable urbanization in developing economies.</p></div>","PeriodicalId":7553,"journal":{"name":"Agricultural Research","volume":"15 2","pages":"962 - 972"},"PeriodicalIF":1.5,"publicationDate":"2026-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148299863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}