Wheat Production Research Articles

Total Deoxynivalenol Contamination of Wheat Products and Coarse Grains in Shanghai, China: Occurrence and Health Risk Assessment.

Deoxynivalenol (DON) is an important mycotoxin produced by Fusarium spp., typically found in cereals, which has garnered considerable research attention. However, the risk assessment of DON exposure to muti-cereal is partial and biased, especially lacking the evaluation of different coarse grains. In this study, we synthesized and compared the presence of the total deoxynivalenol (free, acetylated, and masked) of a total of 372 grain samples (17 different types) based on high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS), as well as assessed the chronic and acute risks of total DON exposure in the Chinese population. DON was found at the highest frequency with an occurrence of 85.8% (319/372), followed by D3G at 17.2% (64/372). In total, 88.7% (330/372) of the grains were co-contaminated with mycotoxins. The DON and D3G contamination correlation coefficient was 0.68 in wheat flour. Moreover, different DON contamination levels were found in black beans (133.5 µg/kg), soybeans (128.7 µg/kg), and black rice (122.1 µg/kg). The DON/D3G/15A/tDON contamination level was significant differently among different coarse grains. Notably, the Monte Carlo model showed that 3.2-5.9% of adolescents consuming wheat flour and noodles suffered a chronic tDON risk.

Current status for utilization of cold resistance genes and strategies in wheat breeding program.

Low temperature chilling is one of the major abiotic stresses affecting growth and yield of Triticum aestivum L. With global climate change, the risk of cold damage in wheat production has increased. In recent years, with the extensive research on wheat chilling resistance, especially the development of genetic engineering technology, the research on wheat chilling resistance has made great progress. This paper describes the mechanism of wheat cold damage, including cell membrane injury, cytoplasmic concentration increased as well as the imbalance of the ROS system. Mechanisms of cold resistance in wheat are summarised, including hormone signalling, transcription factor regulation, and the role of protective enzymes of the ROS system in cold resistanc. Functions of cloned wheat cold resistance genes are summarised, which will provide a reference for researchers to further understand and make use of cold resistance related genes in wheat. The current cold resistant breeding of wheat relies on the agronomic traits and observable indicators, molecular methods are lacked. A strategy for wheat cold-resistant breeding based on QTLs and gene technologies is proposed, with a view to breeding more cold-resistant varieties of wheat with the deepening of the research.

Subsoil testing required to detect the rundown of soil potassium to deficient levels for wheat production on loam-textured soils

Context Long-term negative potassium (K) balances in crop production have depleted soil K levels in Western Australia (WA). Previous research has focussed on sand-textured soils, but recently, monitoring of crops grown on loam-textured soils has shown deficient or marginal shoot K concentrations where Colwell K 0–10 cm is above current critical levels. Aims The aims were to examine whether grain yield responses to fertiliser K can be detected on loam-textured soils and if soil test calibration curves can be identified for these soils. Methods Eight field trials were conducted with wheat on loam-textured soils. The same experimental design was used at all sites; six levels of K applied at sowing, from 0 to 200 kg K ha−1 with one treatment including a split application. Soil and plant test calibration curves were modelled using measurements from the trials. Key results Grain yield responses of 0.69 to 1.37 t ha−1 to fertiliser K (P < 0.05) occurred in 4 of 8 trials. Relative yield was closely related to soil exchangeable K and the goodness of fit of the soil test calibration curves increased as the depth of sampling increased. The best soil test calibration curve was for sampling 0–40 cm. Conclusions This research confirms that on some loam-textured soils, yield loss is occurring to K deficiency if no K fertiliser is applied. Implications As soil K reserves are run down, soil sampling at 0–40 cm on loam-textured soils will provide the most accurate monitoring of soil K deficiency for wheat production.

Effects of Biochar and Cladophora glomerata on Wheat (Triticum aestivum L.) Growth and Rhizosphere Enzyme Activities

The positive effects of biochar on both soil quality and plant growth and also on plant growth of macroalgae have been reported in studies. Studies on biochar and macroalgae interaction are quite limited. This study was carried out according to randomized plot design in greenhouse conditions to determine the effects of biochar and Cladophora glomerata applications and interaction on the growth of wheat (Triticum aestivum L.) and some enzyme activities in the rhizosphere. Biochar and C. glomerata interaction increased wheat root (90%) and shoot dry weight (84.2%), root length (43.1%) and plant height (84.2%) compared to control. Biochar application increased alkaline phosphatase activity by 66.3%, while C. glomerata increased β-glucosidase activity by 49%. The interaction of both applications increased catalase activity by 62.1% compared to control. These findings confirm the potential of biochar and C. glomerata to improve wheat production by inducing growth.

Russian wheat export to African countries at the present stage: key development features, challenges and opportunities

The Russian Federation traditionally remains one of the most important producers and suppliers of wheat on the world market of agricultural raw materials and food. The countries of the African continent, on the contrary, form the largest group of importers and consumers of this product. The purpose of the article is to identify the main trends in the dynamics of Russian wheat exports to African countries at the present stage, as well as to identify the key features of this aspect of trade relations between the parties. The article examines the dynamics and features of export-import relations between the Russian Federation and African countries in the field of international wheat trade through the prism of food security theory. The paper presents an analysis of numerical indicators of wheat production in Russia and its exports to African countries in comparison with indicators of total supplies to the world market, identifies specific features of Russian exports focused on supplies to the African region, and concludes that Russia needs to expand its participation in ensuring food security in the Global South. The source base is statistical materials containing numerical indicators of wheat production and trade by countries and regions of the world, published by international organizations (FAO, International Trade Center, UNCTAD/WTO), national executive authorities, their subordinate institutions and the Bureau of Statistics (Rosstat, USDA); as well as analytical and information and news publications on the topic.

Analysis of Wheat Export Performance in India

Wheat is a plant which is valued highly for its kernel as an edible part and an important source of carbohydrates. India ranks second position in wheat production in the world with a contribution of roughly 13.53 per cent to global wheat output (Naga Latha et. al., 2022). The study analyses the export performance of wheat and examines the trends in the growth performance of wheat in terms of area, production and productivity, export quantity and export value during 1973-2022 which is a period of 50 years. The analysis reveals that the highest compound growth rate in terms of area was 1.16 per cent, production was 4.49 per cent and productivity was 3.29 per cent respectively. The results of the study on the compound growth rates during the study periods have shown positive and increasing value which indicates high potential for the export of wheat from India. In the analysis of instability, there exists a high positive correlation between the export quantity and value of export in the overall period. Wheat area, production and productivity exhibit higher variability and instability in the overall period. Period II shows lower variability and instability, indicating increased stability. Period I exhibits moderate variability and instability. The overall period has the highest instability, suggesting unpredictable production. Instability indices show high instability at 126.97 per cent in Period I and 138.18 per cent overall, while Period II exhibits moderate instability at 101.94 per cent. Market volatility, trade policies, economic fluctuations, weather patterns and production variability contribute to these fluctuations. As of trend analysis, there is a positive and significant increase. The NPC value of wheat during the overall period was 0.051, it indicates that the commodity is not protected. NPC<1 indicates that the commodity is exportable and possesses export competitiveness and hence the hypothesis i.e. Indian wheat has better competitiveness in the International market.

Contribution of irrigation to the production of maize, wheat, and rice in the major global producing countries.

This study offers new insights into the heterogeneity behind the widely accepted notion that irrigated crops contribute 40% to global food production. It also highlights the potential of irrigation to mitigate the negative effects of climate change on crop yields.

Virulence characterization of wheat stripe rust population in China in 2023

AbstractWheat stripe rust, caused by Puccinia striiformis f. sp. tritici (Pst), significantly impacts global wheat production, including China. Monitoring Pst virulence is crucial for disease management. This study used 18 Yr single‐gene isogenic lines of wheat to characterize the virulence of 2023 Pst collections in China. A total of 103 isolates were collected from 11 provinces, and 61 races were identified. Frequencies of virulence to the 18 Yr genes varied from 0% to 95.1%, with low frequencies (defined as less than 10%) to Yr85 (7.8%) and Yr10 (8.7%); moderate frequencies (10%–40%) to Yr24 (15.5%), Yr32 (16.5%), YrSP (37.9%) and Yr76 (37.9%); and high frequencies (>40%) to Yr7 (47.6%), Yr1 (68.0%), Yr9 (69.9%), Yr27 (69.9%), Yr17 (79.6%), Yr6 (89.3%), YrExp2 (92.2%), Yr43 (93.2%), Yr8 (95.1%) and Yr44 (95.1%). Yr6, Yr8, Yr17, Yr27, Yr43, Yr44 and YrExp2 have almost lost their effectiveness in all provinces, while Yr10, Yr24, Yr32 and Yr85 are effective in Hebei, Shandong, Shaanxi, Gansu and Anhui. No isolate was virulent to Yr5 or Yr15, indicating their effectiveness against Pst populations in China. The Pst isolates had a wide virulence spectrum ranging from 3 to 16 virulence factors, with an average of 9.5. Comparing 2023 to 2021, the PstCN‐040 and races sharing virulence to Yr1, Yr6, Yr7, Yr8, Yr9, Yr17, Yr43, Yr44 and YrExp2 predominated, with frequencies 16.4% and 25.2%. This study provides valuable information on the virulence composition of Pst populations in China, helping to guide the development of genetic resistance for wheat in China.

Weed management in organic dryland wheat production in the Pacific Northwest

AbstractGrowth in demand for organic small grains has increased interest in producing certified organic crops in the semiarid US Pacific Northwest. The region is well‐suited for small grain production, and there is a strong market for organic food products on the US West Coast. However, many growers encounter significant and persistent challenges with weed management, particularly management of perennial weeds such as Canada thistle [Cirsium arvense (L.) Scop.] and field bindweed (Convolvulus arvensis L.), but also common winter and spring annual grass weeds including cheatgrass (Bromus tectorum L.) and wild oat (Avena fatua L.). Coupled with the need to minimize soil disturbance, weed management can become nearly intractable and production limiting. From 2004 to 2024, several short and intermediate studies have been conducted to assess weed control tactics and crop rotation effects on weed management. Lessons learned include incorporating alfalfa (Medicago sativa L.) and spring barley (Hordeum vulgare L.) into rotations for suppression of field bindweed, or alfalfa and winter triticale (x Triticosecale Wittmack) for suppression of Canada thistle. Optimization of cultural inputs, particularly seeding rate, are critical for each crop in rotation. Animal integration and new crops such as quinoa (Chenopodium quinoa Willd.) are alternatives to conventional crops and potentially profitable. Incorporation of precision mechanical and chemical systems is feasible in narrow‐row cereals, and when combined with crop rotation, it could reduce or eliminate the need for repeated transitions back to convention production for organic growers.

Optimization of Crop Yield Prediction Through Linear Modelling and Deep Learning Techniques Used in Precision Agriculture

The substantial advancements in computer science and engineering have sparked interest in precision agriculture and led to the development of more advanced instruments and methods for enhancing farming practices. This study focuses on the use of machine learning and mathematical models for fertilisation optimisation and yield prediction as part of a Precision Agriculture strategy. In particular, provides the outcomes of forecasting winter wheat production and protein content across four farms using the amounts of nitrogen fertiliser sprayed on the fields. To maximise net yields on the next crop, fertiliser treatments have to be prescribed based on these projections. In particular, contrast approaches based on neural networks (deep and shallow) and multiple regression (linear and non-linear). The greatest results are obtained by a deep neural network that incorporates spatial sampling and is based on the stacked autoencoder, according to the findings.

Characterization of a gene conferring resistance to US Russian wheat aphid biotypes in the Iranian wheat landrace PI 625139

AbstractRussian wheat aphid (RWA, Diuraphis noxia Kurdjumov) is a highly invasive and destructive wheat pest evolving rapidly to overcome host resistance. Novel genes conferring resistance to multiple RWA biotypes are needed to sustain wheat production. The Iranian landrace PI 625139 is resistant to all five US RWA biotypes. To map the RWA resistance gene in PI 625139, both F2 and F2:3 populations were developed from cross PI 625139 × Smith's Gold, and the F2:3 population was evaluated for responses to five RWA biotypes, RWA1, RWA2, RWA3/7, RWA6, and RWA8. RWA assays identified a single gene in PI 625139, designated Dn625139, conditioning resistance to all five US RWA biotypes. Selective genotyping of a subset of F2 plants using genotyping‐by‐sequencing (GBS) revealed a set of single‐nucleotide polymorphism (SNP) markers on the short arm of chromosome 7D that are closely associated with RWA resistance. Kompetitive allele‐specific PCR (KASP) markers were developed from selected GBS‐SNPs in 7DS. Genetic analysis using the new KASP and simple sequence repeat (SSR) markers placed Dn625139 to a 2.6 cM interval. Dn625139 was 1.2 cM proximal to the KASP marker Stars‐KASP1007 (169.57 Mb) and 1.4 cM distal to the SSR marker Stars1039 (195.27 Mb) in the International Wheat Genome Sequencing Consortium (IWGSC) RefSeq v2.1 reference sequence, and co‐segregated with the SSR marker Stars1029 (180.82 Mb). Dn625139 is a valuable gene conferring resistance to multiple RWA biotypes, and the molecular markers developed in this study can facilitate its rapid introgression into locally adapted cultivars to enhance wheat RWA resistance.

Performance of different wheat varieties and their associated microbiome under contrasting tillage and fertilization intensities: Insights from a Swiss long-term field experiment

Winter wheat is an important global cereal crop. However, conventional farming practices, characterised by intensive tillage and high fertilizer inputs, pose significant threats to the environment. In response, more conservative management practices are being applied aiming to maintain wheat production while promoting a beneficial microbiome. Here, we evaluated the suitability of three different wheat varieties for less intensive agricultural systems, focusing on reduced tillage and fertilizer intensity. The study was conducted over two consecutive years in a Swiss long-term field experiment comparing conventional versus reduced tillage and full fertilization versus half fertilization. In addition, we investigated the composition of plant-associated microbial communities using amplicon sequencing of phylogenetic marker genes, specifically targeting bacteria and fungi in rhizosphere samples and fungi in root samples. Our results revealed that in our study wheat variety most strongly predicted grain yield and quality, independent of tillage and fertilization intensity. Specifically, wheat varieties demonstrated higher yields and N uptake in plots subjected to conventional ploughing and full fertilization compared to those under reduced tillage and half fertilization. We found no significant effect of wheat variety on the composition of microbial communities. However, tillage emerged as the primary factor influencing microbial community composition in the rhizosphere, while fertilization intensity significantly impacted fungal communities in the root system. These findings underscore the complex interplay between agronomic practices, plant genetics, and microbial dynamics in agroecosystems, emphasizing the need for holistic and adaptive approaches and their further development to ensure sustainable crop production.

Determination of Indigenous Nutrient Supplying Capacity of Soil through Omission Plot Technique in Wheat at Bhairahawa

The rapidly expanding intensive cropping systems in the Terai region of Nepal, combined with imbalanced fertilization, are leading to significant nutrient depletion in agricultural soils, raising concerns about the sustainability of wheat production. To address this issue, a field experiment was conducted at the National Wheat Research Program (NWRP) in Bhairahawa, Rupandehi, during 2018-19 to evaluate the soil’s nutrient-supplying capacity and its impact on wheat grain yield. The treatments included five different nutrient levels: N- omission (75:75:5:1 P2O5:K2O:Zn:B kg ha-1), P-omission (150:75:5:1 N:K2O:Zn:B kg ha-1), K-omission (150:75:5:1 N:P2O5:Zn:B kg ha-1), adequate NPK (150:75:75, N:P2O5:K2O kg ha-1), and adequate NPK+Zn+B (150:75:75:5:1 N:P2O5:K2O:Zn:B kg ha-1). The trial was laid out in a randomized complete block design with five replications, planted in five different blocks of the National Wheat Research Program (NWRP), Bhairahawa, with each block treated as a replication. Data on growth, yield attributes, grain yield, and nutrient uptake were analyzed using the Genstat statistical package. The results showed that plant height, dry matter production, spike length, grains per spike, biological yield, and grain yield variables were significant (P< 0.05), while 1000 grain weight and harvest index were not significant (P>0.05). Total N, P, and K uptake were significant (P<0.05) in different treatments, with adequate NPK showing higher NPK uptake and significantly lower in N- omission treatment. Grain yield was higher in fully fertilized treatment than in nutrient omission treatments, with significantly lower grain yield in N- omission followed by P- omission treatments. Among the major nutrients, nitrogen was found to be the most limiting factor, followed by phosphorus and potassium for wheat. Based on these results, it can be concluded that a balanced amount of NPK nutrients should be supplied to enhance the indigenous nutrient-supplying capacity of the soil and improve wheat productivity in Bhairahawa.

Identification of varieties of wheat seeds based on multispectral imaging combined with improved YOLOv5

The identification of seed variety is important in wheat production because the growth and yield are highly related with its variety. Traditional identification methods for wheat seed varieties were suffered with time consuming and contamination. This study proposed a method for convenient identification of wheat seed varieties by using improved YOLOv5 combined with multispectral images. Three optimal spectral bands images including 405 nm, 570 nm and 890 nm were selected to fuse new image from all 19 bands using Genetic algorithm and confusion matrix. The YOLOv5s model for wheat seed variety identification was improved by adding a convolutional block attention module (CBAM) and the identification model was developed with the fusion images. The identification performance of proposed method achieved an accuracy of 99.38 % in testing set, which was better than traditional VOLOv5 with RGB images or with the multispectral images. Meanwhile, the evaluation indexes of the model such as P/%, R/%, F1/% and mAP/% were all higher than 90 %, which showed that the method was suitable for identification of wheat seeds variety rapidly and non-destructively.

Analysis of Factors Affecting Participation of Smallholder Farmers in Wheat Cluster Farming: The Case of Gasera District, Bale Zone, Oromia Region, Ethiopia

Agriculture is the main means of livelihood in Africa. Wheat is one of the globally produced and marketed cereal crops which cover 15% of the total sowing areas of cereal crops in the world. This study focused on the analysis of factors affecting smallholder farmer’s participation in wheat cluster farming in Gasera District of Bale zone. A multi-stage sampling method was employed for this study. Simple random sampling technique was used to select 259 sample respondents in three selected Kebeles out of 24 total kebeles in the woreda. Primary data sources were generated using an interview schedule, five Focus Group Discussions, and eight key informant interviews. Besides, secondary data were obtained from literature and the Woreda Agricultural Office. Both descriptive statistics and econometric models were employed to analyze the collected data. The descriptive statistics results showed that from the total sampled households, 169 (65.3%) were participant and, 90 (34.7%) were non-participant smallholder farmers of wheat cluster farming technology. According to the probit regression model, education status, wheat land, livestock size, frequency of extension contact, credit access, availability of fair price, market information, agricultural input access, training access and membership in a cooperative had a positive influence on farmers’ decisions to participate in wheat cluster farming. Therefore, the local community, Woreda Agriculture Office and research institutes need to expand cluster farming technology to increase wheat production and policies aiming at increasing farmers’ awareness of producing wheat in cluster to increase yield of farmers.

Yield and Nitrogen Uptake of Wheat as Influenced by Nitrogen, Vermicompost and Biofertilizer Application at Rampur, Chitwan, Nepal

High cost, unavailability, and imbalance use of chemical fertilizers and environmental degradation are challenging sustainability of wheat production in Nepal. Integration of vermicompost, biofertilizer (Azotobacter chrococcom) and chemical fertilizer can improve the situation. A field experiment was conducted to assess the combined application of vermicompost, chemical fertilizer and biofertilizer on the growth, yield, and nitrogen uptake of wheat at Rampur Chitwan from November 2021 to April 2022. The experiment was laid out in a strip-split plot design with five N levels as horizontal factors (0, 25, 50, 75, and 100% of recommended dose), two vermicompost levels (0 and 5 t ha-1) as the vertical factor, and two biofertilizer levels (with and without application) as the sub-plot factor with three replications. Data on growth, yield attributes and yield of wheat, nitrogen uptake were collected, analyzed and presented. The research result revealed a significant influence of biofertilizer and nitrogen levels on grain yield of wheat. Full dose of nitrogen resulted a significantly higher grain yield (4441.71 kg ha-1) than other nitrogen levels (0, 25, 50, 75 % of recommended dose with grain yield 2792.11, 2982.20, 3771.17. 4231.63 kg ha-1 respectively). Biofertilizer application had significantly higher grain yield (3726.76 kg ha-1) compared with no biofertilizer application (3560 kg ha-1). There was significant interactions between biofertilizer application and nitrogen levels on number of grains per spike and sterility percent of wheat. The number of grain per spike was highest with 100% recommended N with biofertilizer application (47.52 grains/spike) followed by 75 % recommended N with biofertilizer application (46.53 grains/spike). The sterility % was lowest (6.47 %) with 100 % N with biofertilizer application followed by 75 % N with biofertilizer application (6.72 %). Total nitrogen uptake was significantly higher (119.04 kg ha-1) for full dose of nitrogen as compared with lower nitrogen levels (0, 25. 50, 75 % recommended N levels). Biofertilizer application also resulted in significantly higher nitrogen uptake (89.89 kg ha-1) as compared with no Biofertilizer application (79.89 kg ha-1). Integration of biofertilizer, with chemical fertilizer 75 - 100 % recommended N level could increase the growth, yield, and nitrogen uptake of wheat in Chitwan.

Determination of NPS Fertilizer Rate on Bread Wheat (Triticum Aestivum L.) in Yaya Gullele District of North Shewa Zone, Oromia, Ethiopia

Inappropriate crop management practices are among the key elements that contributed to the low production of wheat. Moreover, the application of balanced fertilizers and nutrient requirements of the crop is the basis to produce more crop yield from the land under cultivation. Hence, a field experiment was conducted in the 2020 & 2021 main cropping season to determine the NPS fertilizer rate in relative to determined the P-critical and P-requirement factor for wheat and to estimate the economically feasible NPS fertilizer rate for higher yield of wheat in Yaya gulale District. Accordingly the result indicated that, plant height was not significantly (P > 0.05 ) influenced by the NPS fertilizer rate but spike length, biomass, and grain yield were highly significantly (P < 0.05) affected by the NPS fertilizer rate. The highest plant height (86.72cm), spike length (6.57cm), biomass yield (12163kg ha-1) and grain yield (3327 kg ha-1) of wheat were recorded by the application of 75% P-critical from NPS fertilizer rate supplemented with recommended Nitrogen whereas, the lowest value was recorded from the field without fertilizer which was significantly inferior to all other treatments. Furthermore, the economic analysis indicates that, application of NPS fertilizer at the rate of 75% P-critical in NPS fertilizer with recommended Nitrogen fertilizer (92 kg N ha-1) for the production of wheat was more economically beneficial for the district. In conclusion, farmers and other end users could be advised to use 75% PC from NPS fertilizer rate with recommended nitrogen for wheat production in the district and other areas having similar soil types and agro- ecology.

Effects of Sugar Beet Residual and Vinasse on Soil Properties and Wheat Productivity under Calcareous Soil Conditions

Effects of Sugar Beet Residual and Vinasse on Soil Properties and Wheat Productivity under Calcareous Soil Conditions

Pelletized Organomineral vs. Inorganic Nitrogen and Phosphorus Fertilizers: Impact on Wheat Nutritional Status, Productivity, and Grain Quality

Pelletized Organomineral vs. Inorganic Nitrogen and Phosphorus Fertilizers: Impact on Wheat Nutritional Status, Productivity, and Grain Quality

Construction of a comprehensive meteorological risk index for wheat Fusarium head blight prediction based on more than a half-century of monitoring data.

Fusarium head blight (FHB) represents a critical threat to wheat production globally, not only reducing yields but also contaminating crops with harmful mycotoxins. This study aimed to elucidate new spatiotemporal patterns of FHB incidence and to develop a comprehensive meteorological risk index to enhance scientific prevention and control of the disease. Through the analysis of annual and decadal variations from 1965 to 2023, the study assessed FHB trends across four agricultural regions (I, II, III, and IV) in Jiangsu Province, located in the middle and lower reaches of the Yangtze River-a hotspot for FHB in China. Key findings include: Since 1965, Regions I and III consistently exhibited higher FHB incidence rates compared to Regions II and IV. Post-2000, there was a notable increase in years with high incidence rates, with Region III overtaking Region I as the region with the highest incidence. Since 2010, occurrences of FHB reaching the most severe grade (Grade 5) have surpassed those in previous decades across all regions. The study also revealed a stronger correlation between meteorological factors (cumulative precipitation, number of days with rainfall ≥ 0.1 mm, total rainy days with ≥ 2 and ≥3 consecutive days of rain, total rainy days with both average daily air temperature ≥ 15 °C and daily rainfall ≥ 0.1 mm, days with average daily relative humidity ≥ 85%, cumulative sunshine hours, and cumulative cloudy days) and the FHB incidence rates during the heading-flowering-grain filling period in Regions I, II, and III, compared to the heading-flowering period alone. This indicates that optimal temperature and high humidity during the grain filling stage significantly contribute to the final FHB incidence rates. Despite the less apparent correlation between temperature changes and disease rates, the significant warming trend observed since 2000 has likely fostered conditions conducive to the proliferation of FHB. The comprehensive meteorological risk index, constructed to incorporate key meteorological factors during the heading-flowering-filling period, showed a strong correlation with actual disease incidences. The index demonstrated fitting accuracy rates of 84.7% for Region I, 72.9% for Region II, 83.1% for Region III, and 90.9% for Region IV, underscoring its effectiveness in predicting FHB occurrences. This tool offers both convenience and practicality, providing valuable insights for strategically managing FHB risks based on local weather conditions.