European Journal of Agronomy最新文献

{"title":"Corrigendum to “New insights to understand the influence of hairy vetch on maize yield and its response to nitrogen application” [Eur. J. Agron. 162 (2025) 127434]","authors":"Francisco Cafaro La Menza , Fernando Salvagiotti , Nicolas E. Maltese , Roxana P. Eclesia , Mirian Barraco , Laura Echarte , Pablo A. Barbieri , Walter D. Carciochi","doi":"10.1016/j.eja.2025.127583","DOIUrl":"10.1016/j.eja.2025.127583","url":null,"abstract":"","PeriodicalId":51045,"journal":{"name":"European Journal of Agronomy","volume":"167 ","pages":"Article 127583"},"PeriodicalIF":4.5,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143601826","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":"Straw-mulching rather than plastic-mulching strengthens ammonia-oxidizing archaea in driving nitrification in a nitrogen-fertilized calcareous soil","authors":"Hongze Hu ,&nbsp;Yanze Yang ,&nbsp;Zhanjun Liu ,&nbsp;Jianbin Zhou ,&nbsp;Zhujun Chen ,&nbsp;Xinpeng Xu","doi":"10.1016/j.eja.2025.127564","DOIUrl":"10.1016/j.eja.2025.127564","url":null,"abstract":"<div><div>Ammonia-oxidizing archaea (AOA) and ammonia-oxidizing bacteria (AOB) are essential in driving soil ammonia oxidation, thus regulating NO₃⁻ leaching losses in terrestrial ecosystems. However, the potential nitrification activity (PNA), AOA, and AOB, and their intrarelationships and potential drivers in concurrent mulching and N fertilization remain elusive. To address these issues, we collected soil samples from a field experiment treated with mulching (CT, no mulch; RF, plastic-mulched ridges and straw-mulched furrows; SM, straw mulch) and N fertilization (0, 120, and 240 kg N ha⁻¹) for 16-years. The results showed that PNA was ranked as SM &gt; RF ≈ CT and significantly increased with increasing N. Mulching had a stronger influence than N rate on the abundance, Shannon index, and beta diversity of AOA and AOB, but the N rate had more significant impacts on the phylogeny of AOA and AOB. Microbial nutrient limitation, soil organic carbon, and available potassium (AK) were vital determinants regulating the abundance, Shannon index, and beta diversity of AOA, while these parameters were mediated by pH, total N, and NO₃⁻ for AOB. PNA was linearly dependent on AOA and AOB abundance, and significantly correlated with <em>Nitrososphaera</em> cluster 4 (AOA) and <em>Nitrosospira</em> clusters 2, 3b, and 11 (AOB). Partial least squares path modeling further illustrated that mulching significantly affected PNA through mediating AOA in CT–SM rather than CT–RF, although the AOB-induced contribution to PNA exceeded that of AOA, suggesting an essential role of straw-mulching retention in enhancing the AOA contribution to ammonia oxidization. The N rate had greater impacts than mulching on PNA, and pH and AK were the two most important edaphic variables influencing PNA through mediating AOA and AOB. Collectively, these results provide evidence that AOB dominates nitrification in concurrent mulching and N-fertilized calcareous soils and highlight the capacity of straw mulching to strengthen the contribution of AOA to PNA.</div></div>","PeriodicalId":51045,"journal":{"name":"European Journal of Agronomy","volume":"166 ","pages":"Article 127564"},"PeriodicalIF":4.5,"publicationDate":"2025-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143547076","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":"Response to nitrogen fertilization of late-sown maize upon different winter previous crops","authors":"Fernando Salvagiotti ,&nbsp;Octavio Caviglia ,&nbsp;Silvina Bacigaluppo ,&nbsp;Mirian Barraco ,&nbsp;Leandro Boero ,&nbsp;Micaela Biassoni ,&nbsp;Juan Enrico ,&nbsp;Esteban Kehoe ,&nbsp;Roxana Paola Eclesia ,&nbsp;Andres Madias ,&nbsp;Nicolas Maltese ,&nbsp;Ricardo Melchiori ,&nbsp;Leonardo Novelli ,&nbsp;Gabriel Prieto ,&nbsp;Fernando Ross ,&nbsp;Alejo Ruiz ,&nbsp;Walter Carciochi","doi":"10.1016/j.eja.2025.127566","DOIUrl":"10.1016/j.eja.2025.127566","url":null,"abstract":"<div><div>Agriculture is transitioning towards more sustainable ways of producing food, fiber, and biofuels, with practices aimed at conserving soil resources by prolonging soil occupation with cash or cover crops and balancing the proportion of cereals and winter legumes when increasing the number of crops in the rotation. Likewise, closing nutrient biogeochemical cycles is critical, particularly for N, which requires adjusting fertilizer rates to avoid surplus or soil mining. Winter crops for grain such as wheat (<em>Triticum aestivum</em> L.), pea (<em>Pisum sativum</em> L.), and for cover such as vetch (<em>Vicia sativa</em> L. or <em>Vicia villosa</em> L.) can differentially affect nitrogen (N) dynamics, yield response to N application, and associated efficiency metrics in succeeding late-sown maize (<em>Zea mays</em> L.). This study aimed to (i) quantify maize yield response to N fertilization by considering productivity, economic, and N efficiency metrics in late-sown maize following fallow or composing a double-crop after winter cash crops (wheat and field pea) or cover crop (vetch) and (ii) test whether vetch biomass can be used to predict the response to N fertilization. Forty on-farm trials were conducted under rainfed conditions in the Pampas region of Argentina during 13 seasons to test different N rates on late-sown maize yields growing after fallow, wheat, pea, or vetch. Maize grain yield was determined, and the agronomic and economic optimum N rates (AONR and EONR, kg fertilizer N ha⁻¹), N use efficiency (NUE, kg of grain yield response per kg of N from fertilizer), and partial factor productivity (PFP, kg of grain produced per kg of N from fertilizer) were calculated. The results showed that (i) wheat caused a higher frequency (86 %) of yield response to N application in maize compared to other scenarios (average 60 %); (ii) no yield response to N was observed when soil N availability at sowing exceeded 175 kg N ha⁻¹ , regardless of the previous crop; (iii) maize following wheat showed the highest AONR and EONR, while maize following pea showed the lowest; (iv) there were no significant differences in NUE among winter crops, but the lowest PFP was observed after wheat; and (v) vetch biomass and N accumulation helped predict the yield response to N fertilization in the succeeding maize. We conclude that winter crops and their characteristics (<em>e.g</em>., wheat yield and vetch biomass) should be considered to fine-tune N fertilizer rates in late-sown maize, promoting the sustainability of the cropping system.</div></div>","PeriodicalId":51045,"journal":{"name":"European Journal of Agronomy","volume":"166 ","pages":"Article 127566"},"PeriodicalIF":4.5,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143547077","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":"Modeling carbon allocation strategies for high-yielding perennial crops","authors":"Erin Kilbane ,&nbsp;Timothy Crews ,&nbsp;Lee DeHaan ,&nbsp;Michael Grillo ,&nbsp;Brian Ohsowski ,&nbsp;Ray Dybzinski","doi":"10.1016/j.eja.2025.127559","DOIUrl":"10.1016/j.eja.2025.127559","url":null,"abstract":"<div><div>We constructed a generalizable grassland model of within-plant carbon allocation strategies with the objective of furthering understanding of the evolutionary ecology of perenniality and illuminating possibilities for breeding high-yielding, long-lived crops in the service of regenerative agriculture. The grassland Perfect Plasticity Approximation model handles space-filling, recruitment, and carbon balance to determine the within-plant allocation of carbon given trade-offs involving perenniality. We used our model to conduct (1) a game-theoretic analysis of evolutionarily stable strategies to determine the effects of natural selection on perenniality and annual reproductive yield, and (2) analyses of physiological feasibility and sensitivity to determine the range of allocational strategies that might be achievable through breeding. Model results suggest that natural selection already maximizes annual reproductive yield in plants that have adapted to the evolutionarily stable strategy in the context of constraints of carbon allocation to foliage, roots, stems, and growth, leaving little room for yield improvement without also breeding a reduction in carbon allocation elsewhere. Breeding reductions in stem mass and root mass show promise for increasing annual reproductive yield. Further research is needed, however, to understand how reductions in root or stem mass would affect a perennial’s provisioning of ecosystem services.</div></div>","PeriodicalId":51045,"journal":{"name":"European Journal of Agronomy","volume":"166 ","pages":"Article 127559"},"PeriodicalIF":4.5,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143529730","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":"Enhancing potato leaf protein content, carbon-based constituents, and leaf area index monitoring using radiative transfer model and deep learning","authors":"Haikuan Feng ,&nbsp;Yiguang Fan ,&nbsp;Jibo Yue ,&nbsp;Yanpeng Ma ,&nbsp;Yang Liu ,&nbsp;Riqiang Chen ,&nbsp;Yuanyuan Fu ,&nbsp;Xiuliang Jin ,&nbsp;Mingbo Bian ,&nbsp;Jiejie Fan ,&nbsp;Yu Zhao ,&nbsp;Mengdie Leng ,&nbsp;Guijun Yang ,&nbsp;Chunjiang Zhao","doi":"10.1016/j.eja.2025.127580","DOIUrl":"10.1016/j.eja.2025.127580","url":null,"abstract":"<div><div>Accurate determination of potato leaf protein content (Cp), carbon-based constituents (CBC), and leaf area index (LAI) are crucial for precise monitoring of potato growth. Dynamic monitoring of leaf Cp, CBC, and LAI can provide valuable insights for agricultural management, such as analyzing the impact of environment stress factors on potato growth throughout its lifecycle. Currently, the most commonly used method for estimating crop parameters is the vegetation spectral feature-statistical regression approach. However, leaf Cp and CBC estimation are greatly influenced by water absorptions, as they exhibited overlapping spectral features in the short-wave infrared (SWIR) region. Consequently, the accuracy of protein estimation using traditional vegetation spectral feature-statistical regression methods is limited. This study aims to propose a comprehensive approach called PCPNet (Potato Canopy and Leaf Parameter Network), which could jointly estimate potato canopy and leaf parameters including Cp, CBC, and LAI. The performance of the PCPNet was compared with traditional spectral feature-statistical regression methods in estimating Cp, CBC and LAI. A simulated dataset for pre-training was generated using the PROSPECT-PRO and SAIL radiative transfer models to represent various complex scenarios encountered in real-world potato cultivation practices. The designed PCPNet was initially pre-trained based on this simulated dataset and then re-trained using ground-based measurements from five potato growing seasons across two distinct regions in China through transfer learning techniques. The validation of potato canopy and leaf parameters was conducted based on the estimations provided by the PCPNet model, while assessing their accuracy. This study yields the following results: (1) The PCPNet-based deep learning model demonstrated markedly superior accuracy in estimating potato Cp, CBC, and LAI compared to traditional machine learning models. (2) The deep learning model pretrained with transfer learning exhibited greater estimation accuracy than the deep learning model trained from scratch. In future research, experiments should be conducted across multiple regions and crops to verify both accuracy and generalizability of this approach in remote sensing of leaf Cp, CBC, and LAI.</div></div>","PeriodicalId":51045,"journal":{"name":"European Journal of Agronomy","volume":"166 ","pages":"Article 127580"},"PeriodicalIF":4.5,"publicationDate":"2025-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143527153","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":"Complexity and interactions of climatic variables affecting winter wheat photosynthesis in the North China Plain","authors":"Rongjun Wu ,&nbsp;Xinzhi Shen ,&nbsp;Bo Shang ,&nbsp;Jiacheng Zhao ,&nbsp;Evgenios Agathokleous ,&nbsp;Zhaozhong Feng","doi":"10.1016/j.eja.2025.127568","DOIUrl":"10.1016/j.eja.2025.127568","url":null,"abstract":"<div><div>Investigating the impact of climate change on crop photosynthesis is crucial for evaluating yield loss and ensuring food security. While previous studies have explored the effects of temperature, vapor pressure deficit (VPD), and soil moisture (SM) on crop photosynthesis in specific locations or ecosystems, large-scale analyses remain limited. This study provides a comprehensive evaluation of the sensitivities and contributions of temperature, VPD, plant available water (PAW), and other climatic factors to winter wheat photosynthesis in the North China Plain (NCP) from 2001 to 2019, utilizing remotely sensed solar-induced chlorophyll fluorescence (SIF) data. Our findings indicate a significant increase in SIF during both the vegetative growth period (VGP) and reproductive growth period (RGP), with trends in climatic factors influencing SIF over the past two decades. The sensitivity of SIF to temperature, VPD, and PAW was more pronounced during the VGP compared to the RGP, suggesting that climatic variability has a greater impact on photosynthesis prior to the heading stage of winter wheat. VPD emerged as a major negative contributor to SIF variation in both periods, followed by temperature during the VGP and PAW during the RGP. Notably, when VPD dropped below the thresholds of 0.83 kPa during the VGP and 1.11 kPa during the RGP, the sensitivity of photosynthetic capacity significantly decreased. Structural equation modeling (SEM) revealed that the negative indirect effects of temperature on SIF through VPD counterbalanced its positive direct effects, while the positive indirect effects of PAW via VPD enhanced its direct effects. Overall, the increase in VPD and the significant decrease in PAW had a substantial negative impact on winter wheat photosynthesis, particularly during the RGP in the NCP. These results offer a quantitative and comprehensive assessment of the influence of rising VPD on the photosynthetic capacity of winter wheat in the context of climate warming and diminishing SM, while also highlighting the significance of growth stage at the system scale for a more meaningful ecophysiological understanding.</div></div>","PeriodicalId":51045,"journal":{"name":"European Journal of Agronomy","volume":"166 ","pages":"Article 127568"},"PeriodicalIF":4.5,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143520280","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":"Surface runoff influenced by single and consortia of cover crops in southern Brazil","authors":"Lucas Raimundo Rauber ,&nbsp;Dalvan José Reinert ,&nbsp;Paulo Ivonir Gubiani ,&nbsp;Rutineia Tassi","doi":"10.1016/j.eja.2025.127567","DOIUrl":"10.1016/j.eja.2025.127567","url":null,"abstract":"<div><div>Cover crops (CCs) are essential for mitigating surface runoff and water erosion. This study reports whether different single and consortia of CCs differ in the attenuation of surface runoff in no-till areas in southern Brazil. The experiment was conducted on a Psammentic Paleudult soil using 14.5 × 3 m plots, with six treatments: T1- bare soil (control) (BS); T2- permanent grasses (PG); T3- black oat and forage turnip followed by beans or cowpea (O+T-B/C); T4- ryegrass followed by beans or pigeon pea (R-B/P); T5- black oat and vetch followed by beans or cowpea (O+V-B/C); and T6- forage peanut (FP). After six years of experimentation (medium term), continuous monitoring of surface runoff in 2022 showed that CCs treatments reduce by up to 65 % the number of precipitation events in which surface runoff occurs, delay the onset of surface runoff, attenuate the rise and peak of the hydrograph, and decrease by up to 97 % the annual surface runoff depth compared to BS treatment. The treatment with FP most efficiently attenuated the surface runoff. Treatments with succession or diversification of annual CCs (O+T-B/C, R-B/P, O+V-B/C) showed similar efficiency to FP. Treatment with PG was the least effective in controlling surface runoff. In conclusion, different single and consortium of CCs vary in their ability to attenuate surface runoff in no-till areas in southern Brazil. Increasing live plant biomass input and the spatial and temporal diversification of CCs, especially legumes, are key factors in maximizing the control of surface runoff in no-till areas. Integral control of surface runoff, however, requires complementary measures.</div></div>","PeriodicalId":51045,"journal":{"name":"European Journal of Agronomy","volume":"166 ","pages":"Article 127567"},"PeriodicalIF":4.5,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143508327","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":"Growing under photoselective nets affects the gas exchange and chemical composition of the leaves of highbush blueberry (Vaccinium corymbosum L.) before and after harvest","authors":"Tina Smrke ,&nbsp;Helena Sircelj ,&nbsp;Ziga Laznik ,&nbsp;Robert Veberic ,&nbsp;Mariana Cecilia Grohar ,&nbsp;Jerneja Jakopic","doi":"10.1016/j.eja.2025.127565","DOIUrl":"10.1016/j.eja.2025.127565","url":null,"abstract":"<div><div>The use of photoselective nets in highbush blueberry (<em>Vaccinium corymbosum</em> L.) orchards could affect the light properties below the nets, along with the plants’ physiological processes and the chemical composition of their leaves. In our research, we compared the effects of black, red, yellow, and white exclusion nets with full-sun conditions (control) on light quality and quantity and the performance of blueberry ‘Bluecrop’ leaves over two consecutive years. The light properties were found to be altered by the nets. The net photosynthesis and leaf gas exchange did not differ among the treatments in 2022. In 2023, the lowest net photosynthesis was measured in the leaves of plants under the control treatment (7.08 µmol m⁻² s⁻¹) before harvest and under the black (3.01 µmol m⁻² s⁻¹) and red nets (3.36 µmol m⁻² s⁻¹) after harvest. At the same time, plants without fruit exhibited significantly lower values of carbon assimilation. The highest chlorophyll fluorescence value was measured in the plants under the red net (0.59) before harvest and under the white exclusion net (0.40) after harvest. Among the measured chloroplast pigments, zeaxanthin increased under the yellow net and the control treatment in 2022, while in 2023, it increased under the red net, white exclusion net, and control treatment before harvest. The total phenolics differed significantly among the treatments across all three sampling dates, with the highest contents measured before harvest in 2023. These promising results indicate that other blueberry cultivars and colored photoselective nets should also be examined in future experiments.</div></div>","PeriodicalId":51045,"journal":{"name":"European Journal of Agronomy","volume":"166 ","pages":"Article 127565"},"PeriodicalIF":4.5,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143487430","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":"Effects of different pipe burial depths on crop yield, water productivity, and irrigation water productivity: A global meta–analysis","authors":"Fan Zhang ,&nbsp;Xiukang Wang ,&nbsp;Shiju Liu ,&nbsp;Hao Ren ,&nbsp;Yandong Wang ,&nbsp;Juan Han","doi":"10.1016/j.eja.2025.127562","DOIUrl":"10.1016/j.eja.2025.127562","url":null,"abstract":"<div><div>Subsurface drip irrigation (SSDI) is an efficient water-saving irrigation technology based on burying drip irrigation pipes underground to deliver water and nutrients directly to crop roots, thereby minimizing water evaporation and nutrient losses. Nevertheless, the effects of SSDI on the crop yield, water productivity (WP), and irrigation water productivity (IWP) have not been fully evaluated, and thus the optimal pipe burial depth for different crops, remains unclear. To address this issue, we performed a global meta-analysis by utilizing 1155 pairs of observations from 145 studies to quantify the effects of different pipe burial depths (&lt; 15 cm, 15–30 cm, and 30–45 cm) on the crop yield, WP, and IWP. Furthermore, we aimed to identify the key factors related to the effects of SSDI on yield increases and water saving. SSDI had significant advantages compared with surface drip irrigation in terms of the crop yield, WP, and IWP, where the optimal performance was obtained at a depth of 30–45 cm (yield increase of 12.30 %, WP increase of 15.26 %, and IWP increase of 18.65 %). SSDI at a depth of 30–45 cm was more favorable for solanaceous vegetables, whereas a depth of 15–30 cm was more suitable for legume crops. Furthermore, field management factors had crucial effects on yield increases and water conservation. An emitter discharge rate of 2.5–3.5 L h^–1 and spacing of 25–35 cm were more favorable for crop growth. In addition, under SSDI conditions, low fertilizer application rates (150 kg ha^–1 N, 50 kg ha^–1 P, and 100–200 kg ha^–1 K) were generally sufficient to achieve the goal of high yields and water savings across different crops, and the effect was particularly pronounced in alkaline (pH ≥ 8), loose (soil bulk density &lt; 1.45 g cm^–3), and nutrient-poor (soil organic matter &lt; 10 g kg^–1) clay soils at 30–45 cm depth. Moreover, the effects of increasing yields and saving water at different pipe burial depths were dramatically affected by climatic factors, with the optimal effect was achieved with precipitation of 400–600 mm and temperatures of 10–15°C at 30–45 cm depth. Our results confirm that SSDI has significant potential for increasing yields and saving water, as well as providing a scientific basis for determining the optimal pipe burial depth for different crop types.</div></div>","PeriodicalId":51045,"journal":{"name":"European Journal of Agronomy","volume":"166 ","pages":"Article 127562"},"PeriodicalIF":4.5,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143474800","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":"Projected climate change impacts on Potato yield in East Africa","authors":"Thomas Kirina ,&nbsp;Iwan Supit ,&nbsp;Annemarie Groot ,&nbsp;Fulco Ludwig ,&nbsp;Teferi Demissie","doi":"10.1016/j.eja.2025.127560","DOIUrl":"10.1016/j.eja.2025.127560","url":null,"abstract":"<div><div>This study examines the impacts of climate change on potato production in East Africa. To assess these impacts, we utilised the WOFOST crop model to simulate both potential yield (Yp) and water-limited yield (Yw) for the present-day (1981–2010), near-future (2036–2065), and far-future (2066–2100) under two climate scenarios (SSP3.7 and SSP5–8.5), using a five-member General Circulation Model (GCM) ensemble from the ISIMIP project. The simulations consistently reveal a substantial decline in both Yp and Yw across all future periods. Specifically, without CO₂ fertilisation, potential yields are projected to decrease by 37–71 %, and water-limited yields by 25–57 % during the Long Rain season (LRS), while during the Short Rain Season(SRS), these declines range from 39–75 % for potential yields and 32–60 % for water-limited yields, with variations depending on elevation and scenario. Even when accounting for elevated CO₂ levels, Yp still decline by 23–57 %, and Yw by 20–49 % in LRS, and by 21–60 % and 20–48 % in SRS. Furthermore, the projected decline in land suitability for potato cultivation is stark, with 82 % of land becoming unsuitable by 2050 and 89 % by 2080, particularly during the LRS. Although elevated CO₂ and slight increases in rainfall may provide some limited benefits, these are insufficient to counteract the detrimental effects of rising temperatures, which remain the primary constraint on potato productivity. Consequently, these findings suggest that conventional potato cultivation may become unsustainable by the end of the century due to climate change. The study underscores the pressing need for effective adaptation strategies, including the implementation of Climate Smart Agriculture (CSA) practices, to sustain potato production in the medium term. It further highlights the potential necessity of transitioning to alternative crops in regions that may become unsuitable for potatoes under future climate conditions. By offering region-specific insights based on relatively high-resolution CMIP6 data and the WOFOST crop model, this research provides actionable guidance for the development of adaptation strategies, reinforcing the importance of integrating climate change mitigation and adaptation into agricultural planning to ensure food security and protect rural livelihoods in East Africa.</div></div>","PeriodicalId":51045,"journal":{"name":"European Journal of Agronomy","volume":"166 ","pages":"Article 127560"},"PeriodicalIF":4.5,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143464742","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}