Cited by 587Efficiency Analysis Using DEAClimate change impacts on agricultureAgricultural Economics and Practices

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The yield gap of global grain production: A spatial analysis

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Neumann, Kathleen, Verburg, Peter H., Stehfest, Elke, Müller, Christoph·2010·Agricultural Systems

DOI 10.1016/j.agsy.2010.02.004

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YIELD GAP ANALYSIS OF CHICKPEA UNDER SEMI-ARID CONDITIONS: A SIMULATION STUDY
Ahmadi, S. R. A. D., Parsa, M., Bannayan, M., Mahallati, M. N., & Deihimfard, R. (2014) · International Journal of Plant Production · doi:10.22069/ijpp.2014.1723 · Cited by 15
“The yield gap concept has been applied in many recent studies (e.g. Bhatia et al., 2008; Lobell et al., 2009; Neumann et al., 2010; Liu et al., 2011) as an indicator for the possibility to increase crop yields in a given region.”
Developing sustainable summer maize production for smallholder farmers in the North China Plain: An agronomic diagnosis method
Chen, G., Hong-zhu, C. A. O., Chen, D., ZHANG, L.-B., Wei-li, Z. H. A. O., Zhang, Y., Ma, W., Jiang, R., Zhang, H., & Zhang, F. S. (2019) · Journal of Integrative Agriculture · doi:10.1016/s2095-3119(18)62151-3 · Cited by 15
EU Resource efficiency perspectives in a global context
van den Berg, M., Bakkes, J., Bouwman, L., Jeuken, M., Kram, T., Neumann, K., van Vuuren, D. P., & Wilting, H. C. (2011) · Utrecht University Repository (Utrecht University) · doi:10.2779/70659 · Cited by 15
Self-citation
Spatiotemporal impact of cultivated land use transition on grain production: Perspective of interaction between dominant and recessive transitions
Niu, W., Wang, H., Luo, L., Shi, Y., Sui, Y., Wu, L., Zhang, B., & Yu, Q. (2025) · Environmental Impact Assessment Review · doi:10.1016/j.eiar.2025.108170 · Cited by 14
Filling the maize yield gap based on precision agriculture – A MaxEnt approach
Norberto, M., Sillero, N., Coimbra, J., & Cunha, M. (2023) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2023.107970 · Cited by 14
UNVEILING CONSTRAINTS TO CASSAVA PRODUCTION IN CAMBODIA: AN ANALYSIS FROM FARMERS' YIELD VARIATIONS
Sopheap, U., Patanothai, A., & Aye, T. M. (2012) · CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research) · doi:10.22069/ijpp.2012.757 · Cited by 14
“Neumann et al. (2010) pointed out that minimizing the yield gap requires an understanding of the nature and strength of regional-specific constraints; therefore, yield constraints need to be assessed separately to provide a basis for increasing www.SID.ir Ar ch ive of S ID actual yields in a…”
Background
Yielding of two types of maize cultivars in relation to selected agrotechnical factors
Jagła, M., Szulc, P. M., Ambroży-Deręgowska, K., Mejza, I., & Kobus‐Cisowska, J. (2019) · Plant Soil and Environment · doi:10.17221/264/2019-pse · Cited by 14
“Until recently, maize was grown for silage from whole plants, whereas in recent years grain cultivation dominated in the sowing acreage (Neumann et al. 2010).”
Background
Identifying high-priority impact areas for electricity service to farmlands in Uganda through geospatial mapping
Shirley, R. G., Liu, Y., Kakande, J. N., & Kagarura, G. M. (2021) · Journal of Agriculture and Food Research · doi:10.1016/j.jafr.2021.100172 · Cited by 14
Land sharing strategies for addressing the trade-off between carbon storage and crop production in France
Shi, Y., Pinsard, C., & Accatino, F. (2021) · Regional Environmental Change · doi:10.1007/s10113-021-01818-7 · Cited by 14
“Second, even if yield increase can be achieved by closing yield gaps in certain areas (Neumann et al. 2010; van Ittersum et al. 2013), there is ample evidence that agricultural intensification through the use of pesticides, the simplification of landscape, and the overuse of mineral fertiliser (Emmerson et al.”
Background
“The maize is the cost of the farming, and the cassava is our profit”: smallholders’ perceptions and attitudes to poor crop patches in the eastern region of Ghana
Wahab, I., Hall, O., & Jirström, M. (2022) · Agriculture & Food Security · doi:10.1186/s40066-022-00361-w · Cited by 14
“Given these production constraints, not enough is known about the ability of such producers to intensify production as this ability is largely world-region-specific [28].”
Background
Evaluation of the Uncertainty in Satellite-Based Crop State Variable Retrievals Due to Site and Growth Stage Specific Factors and Their Potential in Coupling with Crop Growth Models
Levitan, N., Kang, Y., Mutlu Ozdogan, A., Magliulo, V., Castillo, P., Moshary, F., & Gross, B. M. (2019) · Remote Sensing · doi:10.3390/rs11161928 · Cited by 14
“In addition, further work needs to be conducted to address the application of the methods to use training data in regions where biotic stresses are poorly controlled and where, unlike the case in highly developed commercial agriculture systems [7], crop growth models show significant uncertainties in predicting actual…”
Background
Characteristics of Farmers and Technical Efficiency in Cocoa Farming at Sigi Regency - Indonesia with Approach Stochastic Frontier Production Function
Effendy, Hanani, N., Setiawan, B., & Muhaimin, A. W. (2013) · Journal of Economics and Sustainable Development · Cited by 14
Bridging Modeling and Certification to Evaluate Low-ILUC-Risk Practices for Biobased Materials with a User-Friendly Tool
Balugani, E., Sumfleth, B., Majer, S., Marazza, D., & Thrän, D. (2022) · Sustainability · doi:10.3390/su14042030 · Cited by 5
Estimating cropland requirements for global food system scenario modeling
Smith, N. W., Fletcher, A. J., Millard, P., Hill, J. P., & McNabb, W. C. (2022) · Frontiers in Sustainable Food Systems · doi:10.3389/fsufs.2022.1063419 · Cited by 13
“As mentioned in the introduction, yield gap analysis is a common approach in researching future cropland requirement (Cassman et al., 2003; Lobell et al., 2009; Neumann et al., 2010; Mueller et al., 2012; Fischer et al., 2014; West et al., 2014; Hatfield and Beres, 2019; Rong et al., 2021).”
Background
Stepping-Up: Impacts of Armed Conflicts on Land Expansion
Adelaja, A. O., George, J., Jayne, T. S., Muyanga, M. C., Awokuse, T. O., Aromolaran, A. B., & Liverpool‐Tasie, L. S. O. (2023) · Journal of Agricultural and Applied Economics · doi:10.1017/aae.2023.39 · Cited by 12
A study on parameter calibration of a general crop growth model considering non-foliar green organs
Cao, H., Ruan, S., Wu, S., Li, W., Zhu, Y., Guo, Y., Chen, Z., Wu, W., & Yang, P. (2024) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2024.109362 · Cited by 13
Spatiotemporal conversion and mechanism between production-living-ecological space and ecosystem service in the canal area
Xu, C., Wei, B., Hu, Y., Zhu, Z., Geng, X., & Chen, F. (2024) · Ecological Indicators · doi:10.1016/j.ecolind.2024.112689 · Cited by 13
Combined application of nitrogen and phosphorus fertilizers increases soil organic carbon storage in cropland soils
Tao, J., & Liu, X. (2025) · European Journal of Agronomy · doi:10.1016/j.eja.2025.127607 · Cited by 13
Can biofuel policies reduce uncertainty and increase agricultural yields through stimulating investments?
Szabó, Z. (2019) · Biofuels Bioproducts and Biorefining · doi:10.1002/bbb.2011 · Cited by 13
An Integrated Approach to Unravelling Smallholder Yield Levels: The Case of Small Family Farms, Eastern Region, Ghana
Wahab, I., Jirström, M., & Hall, O. (2020) · Agriculture · doi:10.3390/agriculture10060206 · Cited by 13
“When considered, socioeconomic factors often include farmer knowledge, access to capital and credits, markets structure and access and institutional factors such as governmental policy and support and extension services [42,44,45].”
Background
Optimality-based modelling of climate impacts on global potential wheat yield
Qiao, S.-C., Wang, H., Prentice, I., & Harrison, S. (2021) · Environmental Research Letters · doi:10.1088/1748-9326/ac2e38 · Cited by 15
“Statistical modelling (Licker et al 2010, Neumann et al 2010, Guilpart et al 2017) and process-based crop models (Gobbett et al 2016, Rosa et al 2018) have both been used to estimate potential yield.”
Method
The Global Gridded Crop Model Intercomparison: Approaches, insights and caveats for modelling climate change impacts on agriculture at the global scale
Müller, C., Elliott, J. W., & Elbehri, A. (2015) · Publication Database PIK (Potsdam Institute for Climate Impact Research (PIK)) · Cited by 12
Self-citation
Assessing changes in potential yields and yield gaps of summer maize in the North China Plain
Zhang, Z., & Lu, C. (2023) · Food and Energy Security · doi:10.1002/fes3.489 · Cited by 12
Pathways and determinants of changing nutrient management in lowland rice-based systems of Southeast Asia
Becker, M., Clavero, R., Maung, Z. N., Khin, O. M., Kong, S., Men, P., Regalado, M. J. C., Ro, S., Win, K. K., & Pariyar, S. (2023) · Agronomy for Sustainable Development · doi:10.1007/s13593-023-00932-6 · Cited by 18
“While much recent research aimed at increasing the yield potential of rice, such approaches are no stand-alone option as long as current yield potentials are far from being achieved (Neumann et al. 2010).”
Background
Efficient Water-Saving Irrigation, Space Efficiency and Agricultural Development — Study Based on Spatial Stochastic Frontier Model
Han, A., Huang, J., Wang, X., & Zhu, Z. (2023) · Journal of Systems Science and Complexity · doi:10.1007/s11424-023-1383-x · Cited by 12
“…“three basics”: Three problems of livestock and poultry pollution treatment, plastic ﬁlm recycling, and straw burning. methods, Neumann, et al. [1] explored the extent and causes of the gap between the maximum yield and yield of food production, and came to a conclusion that food production…”
BackgroundResult
Putting susceptibility on the map to improve conservation planning, an example with terrestrial mammals
Polaina, E., Revilla, E., & González‐Suárez, M. (2016) · Diversity and Distributions · doi:10.1111/ddi.12452 · Cited by 12
A method for measuring spatial effects on socioeconomic inequalities using the concentration index
Kim, S. W., Haghparast-Bidgoli, H., Skordis-Worrall, J., Batura, N., & Petrou, S. (2020) · International Journal for Equity in Health · doi:10.1186/s12939-019-1080-5 · Cited by 9
“This concept has been broadly used in agricultural economics [10], ecological economics [11] and development economics [12].”
Background
Synergies and tradeoffs among yield, resource use efficiency, and environmental footprint indicators in rice systems
Tseng, M.-C., Roel, Á., Macedo, I., Marella, M., Terra, J. A., & Pittelkow, C. M. (2021) · Current Research in Environmental Sustainability · doi:10.1016/j.crsust.2021.100070 · Cited by 12
Food Security in the Arab Gulf Cooperation Council States
Elmi, A. A. (2017) · Sustainable agriculture reviews · doi:10.1007/978-3-319-58679-3_3 · Cited by 13
Methods for Spatial Prediction of Crop Yield Potential
Bonilla, C., & Hijmans, R. J. (2018) · Agronomy Journal · doi:10.2134/agronj2017.11.0664 · Cited by 12
“These can be statistical models (Neumann et al., 2010; Mueller et al., 2012; Hannah et al., 2013) or mechanistic crop growth simulation models (Hijmans et al.”
Background
Socioeconomic impacts of biofuel production from lignocellulosic biomass
Ingle, A. P., Ingle, P. U., Gupta, I. R., & Rai, M. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-817654-2.00013-7 · Cited by 12
Translating Research into Wildlife Conservation Actions Through Multi-sector Collaboration in Tropical Asia
Horgan, F. G., & Kudavidanage, E. P. (2021) · Wildlife research monographs · doi:10.1007/978-3-030-81085-6_13 · Cited by 12
Quantitative Assessment of Climate Change Impact and Anthropogenic Influence on Crop Production and Food Security in Shandong, Eastern China
Cheng, J., & Yin, S. (2022) · Atmosphere · doi:10.3390/atmos13081160 · Cited by 12
A Multiscalar Approach to Mapping Marginal Agricultural Land: Smallholder Agriculture in Malawi
Peter, B. G., Messina, J. P., & Snapp, S. S. (2018) · Annals of the American Association of Geographers · doi:10.1080/24694452.2017.1403877 · Cited by 12
“Yield gap models have been used to identify marginal production areas (e.g., Neumann et al. 2010), but crop simulation products often do not provide access to the biophysical and social drivers of marginality.”
Method
The new challenge – sustainable production in a changing environment
Gregory, P. J., & Nortcliff, S. (2013) · Wiley eBooks · doi:10.1002/9781118337295.ch13 · Cited by 12
Regionally variable responses of maize and soybean yield to rainfall events in China
Fu, J., Wang, C., Qin, Y., Lesk, C. S., Müller, C., Jakob Zscheischler, A., Liu, X., Liang, H., Jian, Y., Wang, X., et al. (2025) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2025.110458 · Cited by 11
“Further, crop yield responses to rainfall events may depend on regionally varying connections between rainfall and other crop-relevant climate variables, such as temperature, via surface energy partitioning (Lesk et al., 2022; Neumann et al., 2010).”
Self-citation
Spatio-Temporal Dynamics of Maize Yield Water Constraints under Climate Change in Spain
Ferrero, R., Lima, M., & Andújar, J. L. G. (2014) · PLoS ONE · doi:10.1371/journal.pone.0098220 · Cited by 11
“Fourth, we have estimated the potential yield of each region and water management using the previous models and analyzing the spatial variability of yield losses due to water stress [23].”
Method
Ecosystems and Biodiversity
Hussain, S., Markandya, A., Brander, L., McVittie, A., de Groot, R. S., Vardakoulias, O., Wagtendonk, A. J., & Verburg, P. H. (2013) · Cambridge University Press eBooks · doi:10.1017/cbo9781139600484.004 · Cited by 11
Self-citation
Spatial variation of technical efficiency of cereal production in China at the farm level
Wen-bin, Z. H. O. U., Wang, H., Hu, X., & Duan, F. (2021) · Journal of Integrative Agriculture · doi:10.1016/s2095-3119(20)63579-1 · Cited by 11
Identifying crop yield gaps with site- and season-specific data-driven models of yield potential
Filippi, P., Whelan, B. M., Vervoort, W., & Bishop, T. F. A. (2021) · Precision Agriculture · doi:10.1007/s11119-021-09850-7 · Cited by 11
Climate Change and Agricultural Output: The Need for Policy
Gama, E. N., Fani, D. C. R., Ahungwa, G. T., & Ukpe, U. H. (2023) · Advances in African economic, social and political development · doi:10.1007/978-3-031-19527-3_10 · Cited by 12
Future responses to environment-related food self-insufficiency, from local to global
ten Brink, B., Giesen, P., & Knoope, P. (2023) · Regional Environmental Change · doi:10.1007/s10113-023-02069-4 · Cited by 11
“In many regions, there is a wide gap between current and potential yields (IAASTD 2009; Neumann et al. 2010; Van Ittersum et al. 2016; Breman et al. 2019).”
Background
Efficiency and Risk in Sustaining China’s Food Production and Security: Evidence from Micro-Level Panel Data Analysis of Japonica Rice Production
Wang, C., Zhang, Z., & Fei, X. (2018) · Sustainability · doi:10.3390/su10041282 · Cited by 11
“[26] explore the yield gap of global grain production by combining an econometric approach with spatial analysis, and report that the rapid increase in global food supplies over the past 50 years was mainly due to enhanced agricultural intensification and introduction of new technologies.”
Background
The Effects of Changing Climate and Market Conditions on Crop Yield and Acreage Allocation in Nepal
Acharya, R. N. (2018) · Climate · doi:10.3390/cli6020032 · Cited by 13
“Neumann et al. (2010) analyzed the global yield gap for major field crops and observed that access to production inputs such as irrigation; labor, land (slope), and other market resources Climate 2018, 6, 32; doi:10.3390/cli6020032 www.mdpi.com/journal/climate considerably affect crop production…”
BackgroundInfluential
Effects of NP Fertilizer Placement Depth by Year Interaction on the Number of Maize (Zea mays L.) Plants after Emergence Using the Additive Main Effects and Multiplicative Interaction Model
Szulc, P. M., Bocianowski, J., Nowosad, K., Bujak, H., Zielewicz, W., & Stachowiak, B. (2021) · Agronomy · doi:10.3390/agronomy11081543 · Cited by 11
“Until recently, maize was mainly cultivated for silage from whole plants, while in recent years, the placement acreage was dominated by grain cultivation [2].”
Background
The effects of property and landowner characteristics on profit efficiency in salmon angling tourism in Norway
Stensland, S., & Baardsen, S. (2011) · Journal of Sustainable Tourism · doi:10.1080/09669582.2011.629050 · Cited by 11
“Neumann, Verburg, Stehfest and Muller ( 2010 ) found a significant gradient from low efficiency in developing countries to high efficiency in developed countries.”
Background
Long-term trajectories: crop yields, farmland, and irrigated agriculture.
Cassman, K. G. (2016) · Cited by 11
The Global Supply and Demand for Agricultural Land in 2050: A Perfect Storm in the Making? AAEA Presidential Address
Hertel, T. W. (2010) · GTAP working paper series · doi:10.21642/gtap.wp63 · Cited by 11
The promotion of sustainable land use planning for the enhancement of ecosystem service capacity: Based on the FLUS-INVEST-RUSLE-CASA model
Li, G., Wu, Z., He, Y., Chen, C., & Long, Y. (2024) · PLoS ONE · doi:10.1371/journal.pone.0305400 · Cited by 10
Addressing child and maternal nutrition: a qualitative study on food prescriptions and proscriptions determining animal source food consumption in rural Kenya
Musyoka, M. M., Bukachi, S. A., Muga, G. O., Otiang, E., Kwoba, E. N., & Thumbi, S. M. (2023) · Food Security · doi:10.1007/s12571-023-01368-2 · Cited by 10
Field Patch Extraction Based on High-Resolution Imaging and U2-Net++ Convolutional Neural Networks
Long, C., Wenlong, S., Sun, T., Yizhu, L., wei, J. H., Liu, J., Hongjie, L., Feng, T., Gui, R., Abbas, H., et al. (2023) · Remote Sensing · doi:10.3390/rs15204900 · Cited by 10
Defining sustainable limits during and after intensification in a maritime agricultural ecosystem
Squire, G. R. (2017) · Ecosystem Health and Sustainability · doi:10.1080/20964129.2017.1368873 · Cited by 10
“A yield gap therefore exists between actual and potential yield (Neumann et al. 2010; Lobell, Cassmann, and Field 2009; Squire 2017).”
Background
Outlook from the soil perspective of urban expansion and food security
Gardi, C., Florczyk, A. J., & Scalenghe, R. (2021) · Heliyon · doi:10.1016/j.heliyon.2020.e05860 · Cited by 13
“, 2013), however this is not unlimited (Neumann et al., 2010).”
Background
Spatial-temporal coupling relationship between chemical fertilizer application and grain yield in China at city scale
Xue-yan, Z., Liu, J., Rong, W., & Xiao-qi, W. (2019) · 自然资源学报 · doi:10.31497/zrzyxb.20190710 · Cited by 10
Adoption of Durum Wheat Cultivar ‘Salim’ with a Technical Package and Its Resilience to Climate Change Impacts in Smallholders: Case of Nebeur/Kef Region, Tunisia
Ayed, S., Mlouhi, S., & Bouhaouel, I. (2021) · Plants · doi:10.3390/plants10112379 · Cited by 10
“Several regions already showed large yield gaps caused by the lack of some of these components [12].”
Background
Remote Prediction of Oilseed Rape Yield via Gaofen-1 Images and a Crop Model
Tang, W., Tang, R., Guo, T., & Wei, J. (2022) · Remote Sensing · doi:10.3390/rs14092041 · Cited by 10
“Crop yield is one of the most important pieces of economic information for a country or a region; it is related to food security and is of great significance for agricultural planning and layout, policy adjustment, and food trade [1].”
Background
On yield gaps and better management practices in Indonesian smallholder oil palm plantations
Woittiez, L. S. (2019) · doi:10.18174/470340 · Cited by 10
Enhancing food security while reducing environmental impacts: Life cycle assessment of cultivation-irrigation systems and yield gap closure in paddy fields
Darzi‐Naftchali, A., Berger, M., Batoukhteh, F., & Motevali, A. (2025) · Heliyon · doi:10.1016/j.heliyon.2025.e42028 · Cited by 9
Temporal evolution of maize yield spatial heterogeneity in northeast China: shift of dominant factors from human management to climate change
Lu, C., Leng, G., Yu, L., Qiu, J., & Peng, J. X. (2025) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2025.145957 · Cited by 10
Modelling the crop yield gap with a remote sensing-based process model: A case study of winter wheat in the North China Plain
Xu, Y., Zhang, J., Yang, S., Jing-wen, W. A. N. G., Bai, Y., & Zhang, S. (2023) · Journal of Integrative Agriculture · doi:10.1016/j.jia.2023.02.003 · Cited by 9
In highly-biodiverse tropical landscapes, multiple-objective optimization reveals opportunities for increasing both conservation and agricultural production
Wies, G., Groot, J. C. J., & Martı́nez-Ramos, M. (2023) · Ecological Modelling · doi:10.1016/j.ecolmodel.2023.110435 · Cited by 9
Off-farm income and technical efficiency of smallholder farmers in Ethiopia
Abebe, G. G. (2014) · Cited by 9
Development of Rice Growth Map Using the Advanced Remote Sensing Techniques
Che’Ya, N. N., Lee, L. S., Ismail, M. R., Razali, S. M., Roslin, N. A., & Omar, M. H. (2019) · International Conference on Computer and Drone Applications (IConDA) · doi:10.1109/iconda47345.2019.9034916 · Cited by 9
“In the future, the demand for grain will be increasing along with the world population, hence, intensification of agriculture farming is more preferable over the expansion of agriculture land [1].”
Background
Whither rice health in the lowlands of Asia: Shifts in production situations, injury profiles, and yields
Savary, S., Willocquet, L., Castilla, N., Nelson, A., Singh, U. S., Kumar, J., & Teng, P. S. (2021) · Plant Pathology · doi:10.1111/ppa.13490 · Cited by 9
Farmer Involvement in the Development and Adoption of Improved Nutrient Management Technologies Using the Mother–Baby Trial Approach in Vertisols
Reddy, K. S., Mohanty, M., Rao, D. L. N., Rao, A. S., Pandey, M. K., Singh, M., Dixit, S. K., Dalal, R. C., Blamey, F. P. C., & Menzies, N. W. (2013) · Proceedings of the National Academy of Sciences India Section B Biological Sciences · doi:10.1007/s40011-013-0243-1 · Cited by 9
“Many reasons, including poor communication of results along with high costs and other socio-economic constraints, have been put forward for poor uptake [1] resulting in a yield gap at local, regional, and global levels [2].”
Feeding the World and Protecting Biodiversity
West, P. C., Biggs, R., McKenney, B. A., & Monfreda, C. (2013) · Elsevier eBooks · doi:10.1016/b978-0-12-384719-5.00338-5 · Cited by 9
“particularly in Africa, Latin America, and Eastern Europe, have led to significant yield gaps when compared with similar growing regions elsewhere around the world (Licker et al., 2010; Neumann et al., 2010).”
Background
Satellite Image and Machine Learning Based Knowledge Extraction in the Poverty and Welfare DomainPreprint
Hall, O., Ohlsson, M., & Rognvaldsson, T. S. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4102620 · Cited by 9
Cooperatives and sustainability: The case of maize producers in the plateaux region of Togo
Bokoumbo, K., Berge, S. T., Johnson, K. A., Yabi, A. J., & Yegbemey, R. N. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e17345 · Cited by 8
“Poverty makes accessing production resources difficult for small-scale farmers limiting their ability to focus on optimal production and attain high production efficiencies [17,18].”
Background
Simulating potential yields of Chinese super hybrid rice in Bangladesh, India and Myanmar with EPIC model
Wang, X., Wang, S., Chen, J., Cui, H., Wu, Y., Ravindranath, N. H., & Rahman, A. U. (2018) · Journal of Geographical Sciences · doi:10.1007/s11442-018-1519-4 · Cited by 8
“, 2010) and using frontier production functions to calculate potential yields (Neumann et al., 2010).”
BackgroundMethodResultInfluential
Mulching on family maize farms in the tropics: A systematic review
Kuonen, L., & Norgrove, L. (2022) · Current Research in Environmental Sustainability · doi:10.1016/j.crsust.2022.100194 · Cited by 8
An Agronomic Efficiency Analysis of Winter Wheat at Different Sowing Strategies and Nitrogen Fertilizer Rates: A Case Study in Northeastern Poland
Lachutta, K., & Jankowski, K. J. (2024) · Agriculture · doi:10.3390/agriculture14030442 · Cited by 14
Agriculture, Diversification, and Gender in Rural Africa: What Lessons Can We Learn?
Djurfeldt, A. A., Dzanku, F. M., & Isinika, A. C. (2018) · doi:10.1093/oso/9780198799283.003.0011 · Cited by 8
Effect of Nutrient Omission on Grain Yield and Yield Components of Maize (Zea mays L.) at Kersa District, Jimma Zone, Southwestern Ethiopia
Atnafu, O., Balemi, T., & Regassa, A. (2021) · Agriculture Forestry and Fisheries · doi:10.11648/j.aff.20211001.12 · Cited by 8
“Low soil fertility is a major factor implicated for the generally low crop yields in most agroecological regions of the world [2].”
Background
Evaluation of forage maize yield gap using an integrated crop simulation model-satellite imagery method (Case study: four watershed basins in Golestan Province)
Pourhadian, H., Kamkar, B., Soltani, A., & Mokhtarpour, H. (2018) · Archives of Agronomy and Soil Science · doi:10.1080/03650340.2018.1493579 · Cited by 8
“Neumann et al. (2010) accounted a maize yield gap from 0 t ha−1 to 9 t ha−1 on a global scale.”
BackgroundMethodInfluential
Improved Water Use of the Maize Soil–Root–Shoot System under the Integrated Effects of Organic Manure and Plant Density
Wei, L., Zhang, H., Wang, X., & Zhang, S. (2023) · Agronomy · doi:10.3390/agronomy13041172 · Cited by 7
“However, long-term excessive use of chemical fertilizer, high plant density and plastic film mulching are currently responsible for soil degradation and yield and WUE stagnation [5,6], and further severe and negative influences have appeared during the last several years [5,7–9].”
Background
Pelletized Organomineral vs. Inorganic Nitrogen and Phosphorus Fertilizers: Impact on Wheat Nutritional Status, Productivity, and Grain Quality
Carciochi, W. D., Ferrari, J. L., Orden, L., & Galantini, J. A. (2024) · Journal of soil science and plant nutrition · doi:10.1007/s42729-024-02045-9 · Cited by 7
“Globally, the wheat yield gap (i.e., the difference between actual and potential yield) has been estimated at 36%, with N and P fertilization identi - fied as critical management factors contributing to this gap (Mueller et al. 2012; Neumann et al. 2010).”
Uncertainties in estimating global potential yields and their impacts for long-term modeling
Ollenburger, M., Kyle, P. G., & Zhang, X. (2022) · Food Security · doi:10.1007/s12571-021-01228-x · Cited by 9
“However, trials on experimental stations in climatically similar regions have attained yields commensurate with the simulated results (Neumann et al., 2010; van Ittersum et al., 2013); this is documented in detail in Assefa et al.”
Result
African Smallholder Farmers on the Move: Farm and Non-Farm Trends for Six Sub-Saharan African Countries, 2002–15
Jirström, M., Bustos, M. F. A., & Loison, S. A. (2018) · doi:10.1093/oso/9780198799283.003.0002 · Cited by 7
Retrieval of photosynthetic capability for yield gap attribution in maize via model-data fusion
Hu, S., Mo, X., & Huang, F. (2019) · Agricultural Water Management · doi:10.1016/j.agwat.2019.105783 · Cited by 7
Technology Use, Gender, and Impact of Non-Farm Income on Agricultural Investment: An Empirical Analysis of Maize Production in Two Regions of Kenya
Wambugu, S. K., Karugia, J. T., & Oluoch‐Kosura, W. (2018) · doi:10.1093/oso/9780198799283.003.0010 · Cited by 7
On the Use of Agricultural System Models for Exploring Technological Innovations Across Scales in Africa: A Critical ReviewPreprint
Rötter, R., Sehomi, F. L., Höhn, J., Niemi, J., & van den Berg, M. (2016) · SSRN Electronic Journal · doi:10.2139/ssrn.2818934 · Cited by 8
“Over the last two decades a number of different methods for yield gap analysis have been developed 15 (see, e.g. Van Ittersum et al., 2013; Lobell et al., 2009) and applied to different crops from local (e.g. Kassie et al., 2014) to global scale (Neumann et al., 2010).”
Method
Advances in Cassava‐Based Multiple‐Cropping Systems
Ravi, V., Suja, G., Saravanan, R., & More, S. J. (2005) · Wiley eBooks · doi:10.1002/9781119750802.ch3 · Cited by 8
Comprehensive insights into modeling yield gap in agroecosystems: Definitions, theoretical framework, and multidimensional perspectives (a review)
Kamkar, B., Hoogenboom, G., Alizadeh-Dehkordi, P., Bazkiaee, P. A., & Nehbandani, A. (2025) · Agricultural Systems · doi:10.1016/j.agsy.2025.104392 · Cited by 6
China's food security situation and strategy under the background of opening-up
Chen, Y., & Wang, J. (2021) · 自然资源学报 · doi:10.31497/zrzyxb.20210620 · Cited by 6
Eco-efficient agriculture and climate change: conceptual foundations and frameworks
Keating, B. A., Carberry, P., Thomas, S. R., & Clark, J. H. (2012) · Cited by 6
Mainstreaming Development Policies for Climate Change in Fiji
Goundar, S., & Appana, S. (2017) · IGI Global eBooks · doi:10.4018/978-1-5225-3817-2.ch020 · Cited by 6
Transdisciplinary Interventions to Improve the Sustainability of Maize Agroecosystems: A Case Study from Mexico
Domínguez-Hernández, M. E., Domínguez‐Hernández, E., Martinez-Barrera, G., Domínguez-Hernández, A., & Zepeda-Bautista, R. (2022) · Transdisciplinary Journal of Engineering & Science · doi:10.22545/2022/00196 · Cited by 6
“However, these approaches must also consider the additional pressure of increasing productivity in regions with high yield gaps for staple crops such as maize [22, 23].”
Background
Coupled treatment of wet-dry alternation irrigation and seedling-promoting fertilizer has a beneficial effect on the rhizosphere microbial community profile and regenerating physiology of ratoon rice
Chen, H.-F., Yang, Y., Yang, X., Pang, X.-M., Shao, C.-H., Li, Z., Fang, C.-X., & Lin, W.-X. (2023) · Plant growth regulation (Print) · doi:10.1007/s10725-023-00986-2 · Cited by 7
“In addition, some studies have shown that the rice yield per unit area has reached its full biological potential (Cassman et al. 2003; Lobell et al. 2009; Licker et al. 2010; Neumann et al. 2010; Van et al. 2013).”
The Formal Seed System of Maize in Ethiopia: Implications for Reducing the Yield Gap
Kalsa, K. K., Kolech, S. A., Worku, M., Abate, T., & Teklewold, A. (2024) · International Journal of Agronomy · doi:10.1155/2024/2135433 · Cited by 6
“However, depending on the region and country contexts, the global maize yield gap ranges from 0 to 9t/ha [4].”
Background
Perspectives on Agriculture, Diversification, and Gender in Rural Africa: Theoretical and Methodological Issues
Djurfeldt, A. A., Dzanku, F. M., & Isinika, A. C. (2018) · doi:10.1093/oso/9780198799283.003.0001 · Cited by 6
Rural Development Strategies and Africa’s Small Farms
Larson, D. F., Muraoka, R., & Otsuka, K. (2020) · Springer eBooks · doi:10.1007/978-3-030-42148-9_4 · Cited by 8
Individual-based analysis of interactions between plants: A statistical modelling approach applied to banana and cacao in heterogeneous multistrata agroecosystems in Talamanca, Costa Rica
Salazar-Díaz, R., & Tixier, P. (2021) · European Journal of Agronomy · doi:10.1016/j.eja.2021.126295 · Cited by 6
“Similarly to classical yield gap analyses (Neumann et al., 2010), we selected the shape of the envelop curves according to biological hypotheses with the finalization of the growth after flowering for banana plants and a decrease of the production for older cacao trees.”
Method
Factors behind the price increase in the agricultural sector at the beginning of the twenty-first century: Rent, wages, oil and productivity
Roitbarg, H. A. (2021) · Revista Desarrollo y Sociedad · doi:10.13043/dys.88.5 · Cited by 6
“Para Neumann et al. (2010), los cultivos de maíz, arroz, trigo y soja experimentaron rendimientos crecientes del 70 %, el 63 %, el 61 % y el 76 %, respectivamente.”
Background
Wheat Yield Gap in the Pampas: Modeling the Impact of Environmental Factors
Paepe, J. L. D., & Álvarez, R. (2016) · Agronomy Journal · doi:10.2134/agronj2015.0482 · Cited by 6
Agrarian Change and Structural Transformation: Drivers and Distributional Outcomes
Djurfeldt, A. A., Djurfeldt, G., Hall, O., & Bustos, M. F. A. (2018) · doi:10.1093/oso/9780198799283.003.0005 · Cited by 6
Sugarcane yield gap in Brazil: a crop modelling approach
Monteiro, L. A. (2016) · doi:10.11606/t.11.2016.tde-08032016-142721 · Cited by 6
Global agricultural lands in the year 2015
Mehrabi, Z., Tong, K., Fortin, J., Stanimirova, R., Friedl, M., & Ramankutty, N. (2025) · Earth System Science Data · doi:10.5194/essd-17-3473-2025 · Cited by 2
“Below we explain how the source data was collected, the modelling and processing pipeline, validation, and summaries of the ﬁnal product as a peer-reviewed reference manual for users.”
Modeling optimal nitrogen application rate and placement for maximizing wheat yield in a semi-arid environment using APSIM
Yin, J., Liang, J., Hou, H., Ma, M., Fang, Y., Liu, Y., Wang, H., & Lei, K. (2025) · Agricultural Water Management · doi:10.1016/j.agwat.2025.109896 · Cited by 5
Winter wheat plant density determination: Robust predictions across varied agronomic conditions using multiscale RGB imaging
Jauregui-Besó, J., Gracia‐Romero, A., Carrera, C. S., Lopes, M. S., Araus, J. L., & Kefauver, S. C. (2025) · Smart Agricultural Technology · doi:10.1016/j.atech.2025.100921 · Cited by 6
Combined Impact of Climate Change and Land Qualities on Winter Wheat Yield in Central Fore-Caucasus: The Long-Term Retrospective Study
Erokhin, V., Esaulko, A., Pismennaya, E., Golosnoy, E., Vlasova, O., & Ivolga, A. (2021) · Land · doi:10.3390/land10121339 · Cited by 4

Authors: Neumann, K., Verburg, P. H., Stehfest, E., & Müller, C.
Affiliations: Wageningen University & Research (NL)
Vrije Universiteit Amsterdam (NL)
Netherlands Environmental Assessment Agency (NL)
Corresponding author: Neumann, Kathleen
ORCID: Verburg, Peter H.
Stehfest, Elke
Müller, Christoph
Venue: Agricultural Systems
Publisher: Elsevier BV
Published: 2010-06
Volume: 103
Issue: 5
Pages: 316-326
ISSN: 0308-521X (ISSN-L)
DOI: 10.1016/j.agsy.2010.02.004
OpenAlex: W2148170135
Cited by: 587
References: 75
Citations by year: 2026: 14 · 2025: 27 · 2024: 26 · 2023: 43 · 2022: 44 · 2021: 52 · 2020: 29 · 2019: 60 · 2018: 65 · 2017: 45 · 2016: 34 · 2015: 28 · 2014: 30 · 2013: 42 · 2012: 26
FWCI: 38.80
Type: journal article
Language: en
Open access: green
research.wur.nl
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Agricultural Systems (publishedVersion)
VU Research Portal (publishedVersion)
Socio-Environmental Systems Modeling (acceptedVersion)
RePEc: Research Papers in Economics (submittedVersion)
Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam) (submittedVersion)
Publication Database PIK (Potsdam Institute for Climate Impact Research (PIK)) (submittedVersion, other-oa)
Data Archiving and Networked Services (DANS) (submittedVersion)
Topics: Social Sciences › Decision Sciences › Management Science and Operations Research › Efficiency Analysis Using DEA
Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Climate change impacts on agriculture
Life Sciences › Agricultural and Biological Sciences › General Agricultural and Biological Sciences › Agricultural Economics and Practices
Keywords: yield gap, agricultural intensification, production efficiency, wheat, maize, rice, irrigation, market access, agricultural labor, slope, land management, spatial analysis

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