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As a valuable Chinese medicinal herb and functional food, Goji (Lycium barbarum L.) berries have been consumed for more than 4500 years in China and have received extensive international attention. However, stakeholders have adopted traditional management strategies, and rational planning for national Goji cultivation is still lacking across China's pedoclimatic regions, greatly hindering efficient production and improving crop quality. In this study, a new framework applying to large-scale assessment of Goji cultivation suitability was proposed by integrating both a mechanistic model and an ecological niche model. A field survey was conducted across major Goji cultivation regions in 2023, including 255 Goji planting sites and 223 control sites. Fresh berry samples from 211 of these sites were collected and analyzed to establish relationships among Goji cultivation, production, and environmental conditions. The Maximum Entropy Model (MaxEnt) was trained to identify the potential areas suitable for Goji cultivation by integrating the Goji planting sites and environmental variables. Furthermore, advanced machine learning techniques, including K-means clustering and random forest, were adopted to quantify the responses of crucial Goji berry quality indicators to environmental factors. A multicriteria suitability evaluation model incorporating 13 indicators, carefully selected based on their relevance and data availability, was established, and a relatively objective grading and weighting system was derived to group four distinct suitability classes. The results revealed that the potential areas suitable for Goji cultivation covered approximately 184,117 km, with the most suitable areas accounting for approximately 16 % of the overall area, highly suitable areas accounting for 41 %, moderately suitable areas accounting for 24 %, and less suitable areas accounting for 19 %. This study assesses the suitability of Goji cultivation at a national scale, which may provide valuable insights for optimizing production and supporting informed decision-making across China and other similar areas.
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http://dx.doi.org/10.1016/j.jenvman.2025.126908 | DOI Listing |
Biology (Basel)
August 2025
Institute of Plant Protection, Ningxia Academy of Agriculture and Forestry Sciences, Yinchuan 750002, China.
Goji berry is widely consumed worldwide and holds substantial market value, yet its cultivation faces significant threats from the goji berry psyllid (). Chemosensory-related genes play critical roles in regulating insect behaviors, which makes them key molecular targets for the development of environmentally friendly pest control strategies. However, chemosensory genes in have not been previously identified or characterized.
View Article and Find Full Text PDFJ Environ Manage
September 2025
Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 211135, China; University of Chinese Academy of Sciences, Beijing, 100049, China.
As a valuable Chinese medicinal herb and functional food, Goji (Lycium barbarum L.) berries have been consumed for more than 4500 years in China and have received extensive international attention. However, stakeholders have adopted traditional management strategies, and rational planning for national Goji cultivation is still lacking across China's pedoclimatic regions, greatly hindering efficient production and improving crop quality.
View Article and Find Full Text PDFFood Chem X
July 2025
College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310032, China.
The accurate and comprehensive characterization of flavor compounds in Ningxia berry (Lycii Fructus) to provide an accurate geographical discrimination model remains unrealized. Here, a novel strategy that integrates headspace solid-phase microextraction gas chromatography-mass spectrometry (HS-SPME-GC-MS) with our newly developed GC-MS data analysis software, AntDAS-GCMS, was employed for the accurate tracing of samples from typical cultivated zones of China, including Ningxia, Gansu, Qinghai, and Xinjiang province. Parameters of HS-SPME were optimized using the resolved components from AntDAS-GCMS.
View Article and Find Full Text PDFFood Chem
October 2025
Anxi College of Tea Science, College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, China; Fujian Collaborative Innovation Center for Green Cultivation and Processing of Tea Tree in Colleges and Universities, Fujian Agriculture and Forestry University, Anxi County, Quanz
Goji (Lycium barbarum L.) leaf tea (LBLT) has gained popularity among consumers owing to its pleasant aroma. Selecting optimal Goji cultivars for tea processing is critical for enhancing the quality of LBLT.
View Article and Find Full Text PDFYing Yong Sheng Tai Xue Bao
April 2025
College of Agriculture and Animal Husbandry, Qinghai University/Academy of Agricultural and Forestry Sciences, Qinghai University/Qinghai Plateau Key Laboratory of Forest Genetic Breeding/Laboratory for Research and Utilization of Qinghai-Tibetan Plateau Germplasm Resources, Xining 810016, China.
The unique climatic conditions of Qinghai are highly suitable for the growth of goji berry (), with superior yield and quality to other production areas. Screening areas with similar conditions can guide the scientific cultivation of high-yield and high-quality goji berry, thereby increasing income. Based on the climatic characteristics of Qinghai production area, we utilized the optimized MaxEnt model and ArcGIS to identify the key meteorological factors affecting the distribution of suitable habitats and to predict suitable distribution areas under different climate scenarios.
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