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Martre P, Dueri S, Guarin JR, Ewert F, Webber H, Calderini D, Molero G, Reynolds M, Miralles D, Garcia G, Brown H, George M, Craigie R, Cohan JP, Deswarte JC, Slafer G, Giunta F, Cammarano D, Ferrise R, Gaiser T, Gao Y, Hochman Z, Hoogenboom G, Hunt LA, Kersebaum KC, Nendel C, Padovan G, Ruane AC, Srivastava AK, Stella T, Supit I, Thorburn P, Wang E, Wolf J, Zhao C, Zhao Z, Asseng S. Global needs for nitrogen fertilizer to improve wheat yield under climate change. NATURE PLANTS 2024:10.1038/s41477-024-01739-3. [PMID: 38965400 DOI: 10.1038/s41477-024-01739-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 06/04/2024] [Indexed: 07/06/2024]
Abstract
Increasing global food demand will require more food production1 without further exceeding the planetary boundaries2 while simultaneously adapting to climate change3. We used an ensemble of wheat simulation models with improved sink and source traits from the highest-yielding wheat genotypes4 to quantify potential yield gains and associated nitrogen requirements. This was explored for current and climate change scenarios across representative sites of major world wheat producing regions. The improved sink and source traits increased yield by 16% with current nitrogen fertilizer applications under both current climate and mid-century climate change scenarios. To achieve the full yield potential-a 52% increase in global average yield under a mid-century high warming climate scenario (RCP8.5), fertilizer use would need to increase fourfold over current use, which would unavoidably lead to higher environmental impacts from wheat production. Our results show the need to improve soil nitrogen availability and nitrogen use efficiency, along with yield potential.
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Affiliation(s)
- Pierre Martre
- LEPSE, Univ Montpellier, INRAE, Institut Agro Montpellier, Montpellier, France.
| | - Sibylle Dueri
- LEPSE, Univ Montpellier, INRAE, Institut Agro Montpellier, Montpellier, France
| | - Jose Rafael Guarin
- Center for Climate Systems Research, Columbia University, New York, NY, USA
- NASA Goddard Institute for Space Studies, New York, NY, USA
- Agricultural and Biological Engineering Department, University of Florida, Gainesville, FL, USA
| | - Frank Ewert
- Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany
- Institute of Crop Science and Resource Conservation, University of Bonn, Bonn, Germany
| | - Heidi Webber
- Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany
- Brandenburg University of Technology Faculty of Environment and Natural Sciences, Cottbus, Germany
| | - Daniel Calderini
- Institute of Plant Production and Protection, Austral University of Chile, Valdivia, Chile
| | | | | | - Daniel Miralles
- Department of Plant Production, University of Buenos Aires, IFEVA-CONICET, Buenos Aires, Argentina
| | - Guillermo Garcia
- Department of Plant Production, University of Buenos Aires, IFEVA-CONICET, Buenos Aires, Argentina
| | - Hamish Brown
- The New Zealand Institute for Plant and Food Research Limited, Lincoln, New Zealand
| | - Mike George
- The New Zealand Institute for Plant and Food Research Limited, Lincoln, New Zealand
| | - Rob Craigie
- The New Zealand Institute for Plant and Food Research Limited, Lincoln, New Zealand
| | | | | | - Gustavo Slafer
- Department of Agricultural and Forest Sciences and Engineering, University of Lleida, AGROTECNIO-CERCA Center, Lleida, Spain
- Catalonian Institution for Research and Advanced Studies, Lleida, Spain
| | - Francesco Giunta
- Department of Agricultural Sciences, University of Sassari, Sassari, Italy
| | - Davide Cammarano
- Department of Agroecology, iClimate, CBIO, Aarhus University, Tjele, Denmark
| | - Roberto Ferrise
- Department of Agriculture, Food, Environment and Forestry, University of Florence, Florence, Italy
| | - Thomas Gaiser
- Institute of Crop Science and Resource Conservation, University of Bonn, Bonn, Germany
| | - Yujing Gao
- Agricultural and Biological Engineering Department, University of Florida, Gainesville, FL, USA
| | - Zvi Hochman
- CSIRO Agriculture and Food, Brisbane, Queensland, Australia
- University of Melbourne, Melbourne, Victoria, Australia
| | - Gerrit Hoogenboom
- Agricultural and Biological Engineering Department, University of Florida, Gainesville, FL, USA
- Global Food Systems Institute, University of Florida, Gainesville, FL, USA
| | - Leslie A Hunt
- Department of Plant Agriculture, University of Guelph, Guelph, Ontario, Canada
| | - Kurt C Kersebaum
- Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany
- Tropical Plant Production and Agricultural Systems Modelling, University of Göttingen, Göttingen, Germany
- Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany
| | - Claas Nendel
- Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany
- Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany
- Global Change Research Institute, Academy of Sciences of the Czech Republic, Brno, Czech Republic
| | - Gloria Padovan
- Department of Agriculture, Food, Environment and Forestry, University of Florence, Florence, Italy
| | - Alex C Ruane
- Climate Impacts Group, National Aeronautics and Space Administration Goddard Institute for Space Studies, New York, NY, USA
| | - Amit Kumar Srivastava
- Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany
- Institute of Crop Science and Resource Conservation, University of Bonn, Bonn, Germany
| | - Tommaso Stella
- Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany
| | - Iwan Supit
- Earth Systems and Global Change Group, Wageningen University, Wageningen, the Netherlands
| | - Peter Thorburn
- CSIRO Agriculture and Food, Brisbane, Queensland, Australia
| | - Enli Wang
- CSIRO Agriculture and Food, Canberra, Australian Capital Territory, Australia
| | - Joost Wolf
- Plant Production Systems, Wageningen University, Wageningen, the Netherlands
| | - Chuang Zhao
- College of Resources and Environmental Sciences, China Agricultural University, Beijing, China
| | - Zhigan Zhao
- CSIRO Agriculture and Food, Canberra, Australian Capital Territory, Australia
- Department of Agronomy and Biotechnology, China Agricultural University, Beijing, China
| | - Senthold Asseng
- Technical University of Munich, Department of Life Science Engineering, Digital Agriculture, HEF World Agricultural Systems Center, Freising, Germany
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Feng G, Gu Y, Wang C, Zhou Y, Huang S, Luo B. Wheat Fusarium Head Blight Automatic Non-Destructive Detection Based on Multi-Scale Imaging: A Technical Perspective. PLANTS (BASEL, SWITZERLAND) 2024; 13:1722. [PMID: 38999562 DOI: 10.3390/plants13131722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Revised: 06/17/2024] [Accepted: 06/19/2024] [Indexed: 07/14/2024]
Abstract
Fusarium head blight (FHB) is a major threat to global wheat production. Recent reviews of wheat FHB focused on pathology or comprehensive prevention and lacked a summary of advanced detection techniques. Unlike traditional detection and management methods, wheat FHB detection based on various imaging technologies has the obvious advantages of a high degree of automation and efficiency. With the rapid development of computer vision and deep learning technology, the number of related research has grown explosively in recent years. This review begins with an overview of wheat FHB epidemic mechanisms and changes in the characteristics of infected wheat. On this basis, the imaging scales are divided into microscopic, medium, submacroscopic, and macroscopic scales. Then, we outline the recent relevant articles, algorithms, and methodologies about wheat FHB from disease detection to qualitative analysis and summarize the potential difficulties in the practicalization of the corresponding technology. This paper could provide researchers with more targeted technical support and breakthrough directions. Additionally, this paper provides an overview of the ideal application mode of the FHB detection technologies based on multi-scale imaging and then examines the development trend of the all-scale detection system, which paved the way for the fusion of non-destructive detection technologies of wheat FHB based on multi-scale imaging.
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Affiliation(s)
- Guoqing Feng
- Research Center of Intelligent Equipment, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100089, China
- National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China
- College of Agricultural Engineering, Jiangsu University, Zhenjiang 212000, China
| | - Ying Gu
- Research Center of Intelligent Equipment, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100089, China
- National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China
| | - Cheng Wang
- Research Center of Intelligent Equipment, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100089, China
- National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China
- College of Agricultural Engineering, Jiangsu University, Zhenjiang 212000, China
| | - Yanan Zhou
- Research Center of Intelligent Equipment, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100089, China
- National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China
| | - Shuo Huang
- Research Center of Intelligent Equipment, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100089, China
- National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China
| | - Bin Luo
- Research Center of Intelligent Equipment, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100089, China
- National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China
- College of Agricultural Engineering, Jiangsu University, Zhenjiang 212000, China
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Abbai R, Golan G, Longin CFH, Schnurbusch T. Grain yield trade-offs in spike-branching wheat can be mitigated by elite alleles affecting sink capacity and post-anthesis source activity. JOURNAL OF EXPERIMENTAL BOTANY 2024; 75:88-102. [PMID: 37739800 PMCID: PMC10735541 DOI: 10.1093/jxb/erad373] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2023] [Accepted: 09/19/2023] [Indexed: 09/24/2023]
Abstract
Introducing variations in inflorescence architecture, such as the 'Miracle-Wheat' (Triticum turgidum convar. compositum (L.f.) Filat.) with a branching spike, has relevance for enhancing wheat grain yield. However, in the spike-branching genotypes, the increase in spikelet number is generally not translated into grain yield advantage because of reduced grains per spikelet and grain weight. Here, we investigated if such trade-offs might be a function of source-sink strength by using 385 recombinant inbred lines developed by intercrossing the spike-branching landrace TRI 984 and CIRNO C2008, an elite durum (T. durum L.) cultivar; they were genotyped using the 25K array. Various plant and spike architectural traits, including flag leaf, peduncle, and spike senescence rate, were phenotyped under field conditions for 2 consecutive years. On chromosome 5AL, we found a new modifier QTL for spike branching, branched headt3 (bht-A3), which was epistatic to the previously known bht-A1 locus. Besides, bht-A3 was associated with more grains per spikelet and a delay in flag leaf senescence rate. Importantly, favourable alleles, viz. bht-A3 and grain protein content (gpc-B1) that delayed senescence, are required to improve grain number and grain weight in the spike-branching genotypes. In summary, achieving a balanced source-sink relationship might minimize grain yield trade-offs in Miracle-Wheat.
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Affiliation(s)
- Ragavendran Abbai
- Research Group Plant Architecture, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), OT Gatersleben, 06466 Seeland, Germany
| | - Guy Golan
- Research Group Plant Architecture, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), OT Gatersleben, 06466 Seeland, Germany
| | - C Friedrich H Longin
- State Plant Breeding Institute, University of Hohenheim, Fruwirthstr. 21, 70599 Stuttgart, Germany
| | - Thorsten Schnurbusch
- Research Group Plant Architecture, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), OT Gatersleben, 06466 Seeland, Germany
- Martin Luther University Halle-Wittenberg, Faculty of Natural Sciences III, Institute of Agricultural and Nutritional Sciences, 06120 Halle, Germany
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Dadrasi A, Chaichi M, Nehbandani A, Sheikhi A, Salmani F, Nemati A. Addressing food insecurity: An exploration of wheat production expansion. PLoS One 2023; 18:e0290684. [PMID: 38091331 PMCID: PMC10718460 DOI: 10.1371/journal.pone.0290684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Accepted: 08/09/2023] [Indexed: 12/18/2023] Open
Abstract
Wheat plays a crucial role in global food security, serving as a vital food crop that feeds billions of people worldwide. Currently, Russia and Ukraine are responsible for exporting approximately 25% of the world's wheat, making any issues in these regions a cause for concern regarding global wheat supply. The problems faced in these areas have led to a surge in wheat prices worldwide. Consequently, it becomes necessary to explore alternative regions that can compensate for the decline in wheat production and supply. This study focuses on wheat production and yield in major producing countries, utilizing the GYGA (Global Yield Gap Atlas) protocol for predictions. The findings reveal a global wheat production gap of 270,378,793 tons. Notably, the largest gap in irrigated wheat production exists in countries like China, India, Pakistan, Turkey, Iran, Afghanistan, Uzbekistan, Egypt, and Azerbaijan. Additionally, the rainfed wheat production gap on a global scale amounts to 545,215,692 tons, with Russia, the USA, Kazakhstan, Australia, Ukraine, China, Turkey, Canada, India, and France having the most significant production gaps. Through boundary line analysis, specific criteria were identified for suitable areas of irrigated and rainfed wheat cultivation. For irrigated conditions, the temperature range of 3000 to 7000 GDD (Growing Degree Days) and a temperature seasonality of 3 were determined as favorable. Under rainfed conditions, the suitable areas encompass a temperature range of 2000 to 4000 GDD, an aridity index exceeding 600, and a temperature seasonality of 2. Thirteen countries possess extensive agricultural land within the climatic codes favorable for irrigated wheat cultivation. Approximately 50% of the agricultural lands within these countries, corresponding to the total arable area for irrigated wheat, fall within the climatic codes 3403, 5403, 5303, 4303, 5503, 5203, 3503, 3303, and 4103. China, the United States, Ukraine, Russia, and Iran are the top five countries with favorable lands for irrigated wheat cultivation. Similarly, fourteen countries have significant agricultural lands within the favorable climatic codes for rainfed wheat cultivation. Around 52% of the agricultural lands within these countries are within the climatic codes 3702, 2702, 2802, and 4602. France, Germany, Britain, Poland, and Denmark possess the highest potential to expand rainfed wheat cultivation areas within these favorable climate codes, with respective areas of 2.7, 2.6, 1.6, and 0.9 million hectares. According to the study, the North China Plain emerges as a primary region for increasing irrigated wheat production, both in terms of cultivated area and yield potential. For rainfed conditions, the European continent stands out as a significant region to enhance wheat production.
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Affiliation(s)
- Amir Dadrasi
- Department of Agronomy, Agriculture College, Vali-e-Asr University of Rafsanjan, Rafsanjan, Iran
| | - Mehrdad Chaichi
- Department of Seed and Plant Improvement Research, Hamadan Agriculture and Natural Resources, Research and Education Center, Agriculture Research, Education and Extension Organization, Hamadan, Iran
| | - Alireza Nehbandani
- Department of Plant Production, Gorgan University of Agricultural Sciences, Gorgan, Iran
| | - Abdollatif Sheikhi
- Department of Horticulture, Agriculture College, Vali-e-Asr University of Rafsanjan, Rafsanjan, Iran
| | - Fatemeh Salmani
- Department of Plant Production, Gorgan University of Agricultural Sciences, Gorgan, Iran
| | - Ahmad Nemati
- Hamadan Agriculture and Natural Resources, Research and Education Center, Agriculture Research, Education and Extension Organization, Hamadan, Iran
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Appiah M, Abdulai I, Schulman AH, Moshelion M, Dewi ES, Daszkowska-Golec A, Bracho-Mujica G, Rötter RP. Drought response of water-conserving and non-conserving spring barley cultivars. FRONTIERS IN PLANT SCIENCE 2023; 14:1247853. [PMID: 37941662 PMCID: PMC10628443 DOI: 10.3389/fpls.2023.1247853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Accepted: 09/21/2023] [Indexed: 11/10/2023]
Abstract
Introduction Breeding barley cultivars adapted to drought requires in-depth knowledge on physiological drought responses. Methods We used a high-throughput functional phenotyping platform to examine the response of four high-yielding European spring barley cultivars to a standardized drought treatment imposed around flowering. Results Cv. Chanell showed a non-conserving water-use behavior with high transpiration and maximum productivity under well-watered conditions but rapid transpiration decrease under drought. The poor recovery upon re-irrigation translated to large yield losses. Cv. Baronesse showed the most water-conserving behavior, with the lowest pre-drought transpiration and the most gradual transpiration reduction under drought. Its good recovery (resilience) prevented large yield losses. Cv. Formula was less conserving than cv. Baronesse and produced low yet stable yields. Cv. RGT's dynamic water use with high transpiration under ample water supply and moderate transpiration decrease under drought combined with high resilience secured the highest and most stable yields. Discussion Such a dynamic water-use behavior combined with higher drought resilience and favorable root traits could potentially create an ideotype for intermediate drought. Prospective studies will examine these results in field experiments and will use the newly gained understanding on water use in barley to improve process descriptions in crop simulation models to support crop model-aided ideotype design.
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Affiliation(s)
- Mercy Appiah
- Department of Crop Sciences, Tropical Plant Production and Agricultural Systems Modelling (TROPAGS), University of Göttingen, Göttingen, Germany
| | - Issaka Abdulai
- Department of Crop Sciences, Tropical Plant Production and Agricultural Systems Modelling (TROPAGS), University of Göttingen, Göttingen, Germany
| | - Alan H. Schulman
- Production Systems, Natural Resources Institute Finland (LUKE), Helsinki, Finland
- Institute of Biotechnology and Viikki Plant Science Centre, University of Helsinki, Helsinki, Finland
| | - Menachem Moshelion
- Institute of Plant Sciences and Genetics in Agriculture, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, Israel
| | - Elvira S. Dewi
- Department of Crop Sciences, Tropical Plant Production and Agricultural Systems Modelling (TROPAGS), University of Göttingen, Göttingen, Germany
- Department of Agroecotechnology, Faculty of Agriculture, Universitas Malikussaleh, Aceh Utara, Indonesia
| | - Agata Daszkowska-Golec
- Institute of Biology, Biotechnology and Environmental Protection, University of Silesia in Katowice, Katowice, Poland
| | - Gennady Bracho-Mujica
- Department of Crop Sciences, Tropical Plant Production and Agricultural Systems Modelling (TROPAGS), University of Göttingen, Göttingen, Germany
| | - Reimund P. Rötter
- Department of Crop Sciences, Tropical Plant Production and Agricultural Systems Modelling (TROPAGS), University of Göttingen, Göttingen, Germany
- Centre for Biodiversity and Sustainable Land Use (CBL), University of Göttingen, Göttingen, Germany
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Ren K, Xu M, Li R, Zheng L, Wang H, Liu S, Zhang W, Duan Y, Lu C. Achieving high yield and nitrogen agronomic efficiency by coupling wheat varieties with soil fertility. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 881:163531. [PMID: 37076009 DOI: 10.1016/j.scitotenv.2023.163531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 04/11/2023] [Accepted: 04/12/2023] [Indexed: 05/03/2023]
Abstract
Wheat breeding has progressively increased yield potential through decades of selection, markedly increased the capacity for food production. Nitrogen (N) fertilizer is essential for wheat production and N agronomic efficiency (NAE) is commonly index used for evaluate the effects of N fertilizer on crop yield, calculated as the difference of wheat yield between N fertilizer treatment and non-N fertilizer treatment divided by the total N application rate. However, the impact of variety on NAE and its interaction with soil fertility remain unknown. Here, to clarify whether and how wheat variety contributes to NAE, and to determine if soil conditions should be considered in variety selection, we conduct a large-scale analysis of data from 12,925 field trials spanning ten years and including 229 wheat varieties, 5 N fertilizer treatments, and a range of soil fertility across China's major wheat production zones. The national average NAE was 9.57 kg kg-1, but significantly differed across regions. At both the national and regional scales, variety significantly affected NAE, and different varieties showed high variability in their performance among low, moderate, and high fertility soils. Here, superior varieties with both high yield and high NAE were identified at each soil fertility fields. The comprehensive effect of selecting regionally superior varieties, optimizing N management, and improving soil fertility could potentially decrease the yield gap by 67 %. Therefore, variety selection based on soil conditions could facilitate improved food security while reducing fertilizer inputs to alleviate environmental impacts.
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Affiliation(s)
- Keyu Ren
- State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Minggang Xu
- State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Rong Li
- Cultivated Land Quality Monitoring and Protection Center, Ministry of Agriculture and Rural Affairs, Beijing 100125, China
| | - Lei Zheng
- Cultivated Land Quality Monitoring and Protection Center, Ministry of Agriculture and Rural Affairs, Beijing 100125, China
| | - Huiying Wang
- Cultivated Land Quality Monitoring and Protection Center, Ministry of Agriculture and Rural Affairs, Beijing 100125, China
| | - Shaogui Liu
- Yangzhou Station of Farmland Quality Protection, Yangzhou 225100, China
| | - Wenju Zhang
- State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Yinghua Duan
- State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
| | - Changai Lu
- State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
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Neik TX, Siddique KHM, Mayes S, Edwards D, Batley J, Mabhaudhi T, Song BK, Massawe F. Diversifying agrifood systems to ensure global food security following the Russia–Ukraine crisis. FRONTIERS IN SUSTAINABLE FOOD SYSTEMS 2023. [DOI: 10.3389/fsufs.2023.1124640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/17/2023] Open
Abstract
The recent Russia–Ukraine conflict has raised significant concerns about global food security, leaving many countries with restricted access to imported staple food crops, particularly wheat and sunflower oil, sending food prices soaring with other adverse consequences in the food supply chain. This detrimental effect is particularly prominent for low-income countries relying on grain imports, with record-high food prices and inflation affecting their livelihoods. This review discusses the role of Russia and Ukraine in the global food system and the impact of the Russia–Ukraine conflict on food security. It also highlights how diversifying four areas of agrifood systems—markets, production, crops, and technology can contribute to achieving food supply chain resilience for future food security and sustainability.
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Hasegawa T, Wilson LT. Raising wheat yield ceiling. NATURE FOOD 2022; 3:493-494. [PMID: 37117940 DOI: 10.1038/s43016-022-00550-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/30/2023]
Affiliation(s)
- Toshihiro Hasegawa
- Institute for Agro-Environmental Sciences, National Agriculture and Food Research Organization (NARO), Tsukuba, Japan.
| | - Lloyd T Wilson
- Texas A&M University, AgriLife Research, Beaumont, TX, USA
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