Agrosystems, Geosciences & Environment最新文献

{"title":"Effects of nitrogen application and tillage on maize (Zea mays L.) yield, nitrogen use efficiency, and nutrient stocks under contrasting soils","authors":"Ashenafi Nigussie","doi":"10.1002/agg2.70156","DOIUrl":"10.1002/agg2.70156","url":null,"abstract":"<p>In the Central Rift Valley of Ethiopia, enhancing fertilizer efficiency and maize yields on smallholder farms is a pressing issue, especially given the challenges of low soil fertility. To address this, field experiments were carried out over two consecutive years (2019–2020) under rain-fed conditions with the aim to assess short-term effects of nitrogen application and tillage methods on nutrient stocks, yields, and nitrogen use efficiency of maize grown in two different soil types (STs): Cambisols and Phaeozems. The experiments utilized two tillage practices: conventional tillage (CT) and minimum tillage (MT) and four nitrogen treatment levels: no nitrogen, 46 kg N ha⁻¹ combined with 10 t compost ha⁻¹, 20 t compost ha⁻¹, and 92 kg N ha⁻¹. These treatments were arranged in a randomized complete block design with split plots, replicated three times. Overall, the results showed that ST, tillage method, and nitrogen fertilization had significant effects on nutrient stocks, maize yield, and nitrogen utilization efficiency. The highest maize grain yields, nitrogen use efficiency, and soil nutrient stocks were recorded in Phaeozems with MT and integrated N-fertilization. In contrast, the lowest maize yields and nitrogen use efficiency were found in unfertilized plots of Cambisols under CT. The findings highlight the beneficial impact of MT and integrated nutrient management on enhancing nutrient stocks, yields, and nitrogen utilization efficiency across different STs, thereby supporting sustainable maize production.</p>","PeriodicalId":7567,"journal":{"name":"Agrosystems, Geosciences & Environment","volume":"8 2","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agg2.70156","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144339384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating selected soil hydraulic properties under varied land use types at the Arjo-Dhidhessa Estate Sugar Factory, Western Ethiopia","authors":"Workina Geleta,&nbsp;Fekadu Fufa,&nbsp;Abdissa Bekele","doi":"10.1002/agg2.70157","DOIUrl":"10.1002/agg2.70157","url":null,"abstract":"<p>This study investigates the effects of land use type and soil depth on soil hydraulic properties at the Arjo-Dhidhessa Estate Sugar Factory, Western Ethiopia. Soil samples (15 composites) were collected from five land use types (fallow land, cropland, irrigated land, forest land, and shrub land) across three soil depths (0–30, 30–60, and 60–90 cm). Field infiltration rates were measured using a double ring infiltrometer. The study demonstrates significant variation in soil hydraulic properties that forestlands showed higher performance, with the highest field capacity (51.46%), an available water-holding capacity (21.23%), and a soil moisture content (23.74%). Conversely, irrigated land indicated the lowest infiltration rates (19.6 cm/h) and sorptivity (75.3 cm/h), likely linked to soil compaction and nutrient depletion. Soil hydraulic properties also varied with depth, showing reduced water retention and infiltration in deeper layers (60–90 cm). These results underscore the importance of diverse land management strategies for optimizing soil health and water resource management. Integrating forest and shrubland practices can enhance organic content and improve soil composition. Further, implementing management techniques such as conservation tillage and replanting can mitigate soil loss and compaction, promoting sustainable agricultural production. This study demonstrates the critical role of land use in shaping soil hydraulic properties. The findings advocate for land management practices that prioritize soil health and water retention, particularly through the integration of forest and shrubland elements. By adopting these strategies, policymakers and land managers can foster long-term agricultural sustainability in the face of ongoing land transformation.</p>","PeriodicalId":7567,"journal":{"name":"Agrosystems, Geosciences & Environment","volume":"8 2","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agg2.70157","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144323530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adaptation of the process-based CSM-CROPGRO model to simulate the growth and development of industrial hemp for seed and fiber production","authors":"Alwin Hopf,&nbsp;Kenneth J. Boote,&nbsp;Yogendra Upadhyaya,&nbsp;Hardeep Singh,&nbsp;Michael J. Mulvaney,&nbsp;Navdeep Kaur,&nbsp;Lakesh K. Sharma,&nbsp;Zachary Brym,&nbsp;Jonathan A. Watson,&nbsp;Gerrit Hoogenboom","doi":"10.1002/agg2.70145","DOIUrl":"10.1002/agg2.70145","url":null,"abstract":"<p>Industrial hemp (<i>Cannabis sativa</i> L.) is a re-emerging crop in the United States with unique agronomic challenges that require location-specific studies and guidance. Digital farming tools, such as crop growth models, can facilitate this process by enabling a better understanding of the farming system. Crop growth models predict the growth and development of crops over time using weather, soil, management, and physiological parameters as inputs. The goal of this study was to develop a new hemp model in the Cropping System Model (CSM)-CROPGRO module in the Decision Support System for Agrotechnology Transfer (DSSAT). Experimental data spanning two cultivars, both grown over two seasons and two sites in Florida, were used for model calibration and evaluation. Model adaptations were made in (1) tissue composition and assimilate partitioning, (2) cardinal temperatures for different growth and development processes, and (3) leaf photosynthesis and senescence. The results show a good simulation of aboveground biomass (<i>d</i> = 0.91, root mean square error [RMSE] = 482 kg ha⁻¹), stem weight (<i>d</i> = 0.83, RMSE = 430 kg ha⁻¹), and time to flowering (+4 to −5 days), capturing the differences among cultivars and planting dates. A seasonal analysis using the adapted model showed the impact of variable planting dates on hemp phenology, biomass, and grain production. Future work should include a more detailed observation and mechanistic simulation of self-thinning and evaluation with data representing different production environments and cultivars. The CROPGRO-Hemp model will provide a basis for growers, researchers, and other stakeholders to systematically analyze hemp production systems in Florida and internationally.</p>","PeriodicalId":7567,"journal":{"name":"Agrosystems, Geosciences & Environment","volume":"8 2","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agg2.70145","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144309000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ear rot diseases in maize (Zea mays L.), associated mycotoxins, and management practices in Ethiopia: A review","authors":"Temesgen Deressa Hunde","doi":"10.1002/agg2.70136","DOIUrl":"10.1002/agg2.70136","url":null,"abstract":"<p>Maize (<i>Zea mays</i> L.) ear rots are common diseases in maize production and result in severe yield reduction and mycotoxin contamination in Ethiopia. Mycotoxins are a serious, multifaceted economic problem, and maize is one of the major crops most commonly affected by mycotoxins. Ear rot diseases and subsequent mycotoxin contamination begin at the preharvest level. Studies from different parts of the developed countries have quantified pre- and postharvest mycotoxin contamination levels and set maximum levels of mycotoxins for consumer safety. Much consideration should be given to maize ear rot because only healthy ears and kernels can guarantee high grain yield and quality. Moreover, the global increase in the prevalence of <i>Fusarium fujikuroi</i> species complex over the last decades, particularly the high prevalence of <i>F. verticillioides</i> in Ethiopia, is demanding a solution among maize researchers in the country. Hence, a significant effort in ear rot disease mitigation through pre- and postharvest crop management is necessary to reduce future risks following available research, as described in this review. The awareness of farmers about the occurrence of ear rot and mycotoxins to recognize ear rot diseases and to discard visibly diseased maize kernels from the bulk of the maize is of great concern. Furthermore, appropriate pre- and postharvest management practices developed, including suitable companion cropping systems, soil amendments, the use of ear rot-resistant or tolerant maize varieties, and the need for improved harvesting time and postharvest handling practices (field drying, shelling, sorting, and storage technologies), have been discussed to control mycotoxigenic fungi and subsequent mycotoxin contamination to reduce their impact on maize development sectors in Ethiopia.</p>","PeriodicalId":7567,"journal":{"name":"Agrosystems, Geosciences & Environment","volume":"8 2","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agg2.70136","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144308999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating adequacy of corn nitrogen recommendations in long term cover cropping systems","authors":"Sapana Pokhrel,&nbsp;Wade E. Thomason,&nbsp;Amy L. Shober,&nbsp;Rory O. Maguire","doi":"10.1002/agg2.70150","DOIUrl":"10.1002/agg2.70150","url":null,"abstract":"<p>Achieving optimum nitrogen (N) use efficiency in corn (<i>Zea mays</i> L.) production is challenging. We questioned whether Virginia's yield goal (YG)-based N recommendation (N factor = 17.9 kg Mg⁻¹, the N fertilizer requirement per unit of corn grain yield) adequately accounted for improved N use efficiency under conservation practices including cover crops. We determined the agronomic optimum nitrogen rate and optimum yield at 24 field sites with ≥3 years of cover crops and no-till to calculate an observed N factor, which was then compared to the yield goal nitrogen (YG-N) factor. The average observed N-factor (16.0 kg Mg⁻¹) was not statistically different from YG-N factor (17.9 kg Mg⁻¹); yet, the observed N-factor ranged from 5.9 to 37.3 kg Mg⁻¹; 11 of 24 sites would have been over-fertilized, while seven would have been under-fertilized if YG-N factor was applied at these sites (90% confidence interval). Attempted adjustments of the YG-N factor using single parameters (e.g., cover crop C:N ratio, soil N, and soil nitrate) were insufficient. In contrast, we evaluated N recommendations generated by two open-source decision support tools (available through PennState Extension and precision sustainable agriculture) that account for cover crops, soil organic matter, and weather parameters. These tools provided more site-specific, quantitative N recommendations compared to a YG-based approach, as demonstrated by statistically significant linear relationships between tool-derived N factors and the observed N factor from our field trials. However, further validation of these open-source decision support tools is needed to adapt them to regions with different climates and soil conditions.</p>","PeriodicalId":7567,"journal":{"name":"Agrosystems, Geosciences & Environment","volume":"8 2","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agg2.70150","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144292744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advancing wheat breeding in Ethiopia: Challenges and opportunities in breeding for nutrient use efficiency: A review","authors":"Tesfaye Geleta Aga","doi":"10.1002/agg2.70149","DOIUrl":"10.1002/agg2.70149","url":null,"abstract":"<p>Wheat plays a critical role in Ethiopia's food security, nutrition, and economic development. Despite increased production and expansion into diverse agro-ecological zones, productivity remains constrained by soil nutrient depletion, inefficient fertilizer use, and low adoption of best agronomic practices. This review explores the status, challenges, and opportunities in wheat breeding for nutrient use efficiency (NUE) in Ethiopia. Improving NUE is essential for sustainable agriculture, reducing production costs, and minimizing environmental impact. Implementing best management practices and harnessing genetic diversity are crucial for enhancing NUE. This review highlights the need to develop cultivars with improved root systems and superior nutrient uptake and utilization. Although Ethiopian research systems have released high-yielding, stress-tolerant, and micronutrient-enriched wheat varieties, targeted breeding for NUE is still in its early stages. Notable progress includes breeding for acid and salt tolerance, and recent identification of durum wheat genotypes with high nitrogen uptake and utilization efficiency provides new avenues for improvement. However, this progress is impeded by challenges such as limited molecular techniques, inadequate infrastructure, and a narrow genetics base, particularly for bread wheat. Opportunities lie in the high genetic diversity, particularly in durum wheat, access to global germplasm sources, diverse agro-ecological zones, and collaboration with international research organizations. Addressing these challenges and leveraging opportunities can improve wheat breeding for nutrient efficiency, contributing to food security and sustainable wheat production in Ethiopia under climate variability.</p>","PeriodicalId":7567,"journal":{"name":"Agrosystems, Geosciences & Environment","volume":"8 2","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agg2.70149","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144292745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Genotypic ranking and repeatability coefficient in elephant grass genotypes for biomass production for energy applications","authors":"Maxwel Rodrigues Nascimento,&nbsp;Rogério Figueiredo Daher,&nbsp;Ana Kesia Faria Vidal,&nbsp;Josefa Grasiela Silva Santana,&nbsp;Moisés Ambrósio,&nbsp;Rafael Souza Freitas,&nbsp;Cleudiane Lopes Leite,&nbsp;Alexandre Gomes de Souza,&nbsp;Josilene Vargas Xavier,&nbsp;Paulo Ricardo dos Santos,&nbsp;Kleyton Danilo da Silva Costa,&nbsp;Antônio Félix da Costa,&nbsp;José Wilson da Silva","doi":"10.1002/agg2.70152","DOIUrl":"10.1002/agg2.70152","url":null,"abstract":"<p>Energy demand has become a global bottleneck, and the search for alternative sources is intensifying worldwide. In this context, elephant grass emerges as an excellent alternative due to its high dry matter production capacity coupled with beneficial biomass quality, high fiber content, high C/N ratio, and high calorific value. Given the significance of forage in bioenergy production, this study aimed to estimate the adaptability and stability parameters through mixed models (restricted maximum likelihood/best linear unbiased prediction [REML/BLUP) and repeatability for the selection of the best elephant grass genotypes. Seventy-three genotypes were evaluated in a randomized block design with three replicates from the Active Elephant Grass Germplasm Bank of the State University of Northern Rio de Janeiro, located in Campos dos Goytacazes, RJ, Brazil. Dry matter yield, number of tillers, plant height, and stem diameter were evaluated. The statistical analysis was based on mixed models using REML/BLUP. The repeatability values obtained demonstrated that the genotypes' performance remained consistent across all measurements, with eight measurements necessary to ensure the selection of the best genotypes. The genotypes King Grass, Taiwan A-46, Pasto Panamá, Três Rios, and Guaçu/I.Z.2 were the most productive, adaptable, and stable, displaying potential for cultivation in the northern region of Rio de Janeiro and for use in breeding programs.</p>","PeriodicalId":7567,"journal":{"name":"Agrosystems, Geosciences & Environment","volume":"8 2","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agg2.70152","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144292689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modified fertilization strategies to increase grain protein of soft red winter wheat in the Mid-Atlantic region","authors":"Nicole M. Fiorellino,&nbsp;Louis A. Thorne","doi":"10.1002/agg2.70154","DOIUrl":"10.1002/agg2.70154","url":null,"abstract":"<p>Millers in the Mid-Atlantic are seeking high protein content in their flour and they are currently shipping hard wheat produced in the Western United States to blend with soft red winter wheat (SRWW) (<i>Triticum aestivum</i> L.) produced locally to achieve this. They may offer a premium for a local source of SRWW with higher grain protein. This may be achieved through selection of SRWW varieties with high protein potential, modifying nitrogen (N) fertilizer management through timing or total N rate, or the combination of both. We hypothesized that grain protein of SRWW varieties with either high yield or high protein potential could be increased with late-season N application at the same rate and the increased protein result in decreased grain yield. Four fertilization strategies that shifted the same total N later in the season, that included a post-flowering N application, and one that increased the total N rate were evaluated along with three varieties selected for high grain protein potential and one high-yielding variety. Both grain yield and grain protein were significantly affected by variety, and grain protein only was significantly affected by fertilizer treatment. Shifting the same total N rate to four applications from three increased grain protein but was not different than four applications at an increased N rate. A significant, inverse relationship between grain yield and protein was observed. Producers in the Mid-Atlantic are encouraged to calculate their cost of production and weigh this against possible protein premiums prior to production of high-protein wheat.</p>","PeriodicalId":7567,"journal":{"name":"Agrosystems, Geosciences & Environment","volume":"8 2","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agg2.70154","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144292697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Estimating biomass and carbon stock in orange trees (Citrus sinensis L. Osbeck) of the São Paulo and southwestern Minas Gerais citrus belt, Brazil","authors":"Lauro Rodrigues Nogueira Jr.,&nbsp;Carlos Cesar Ronquim,&nbsp;José Carlos Barbosa,&nbsp;Vinicius Gustavo Trombin,&nbsp;Roseli Reina,&nbsp;Fernando Alvarinho Delgado,&nbsp;Fernando Antônio de Pádua Paim","doi":"10.1002/agg2.70147","DOIUrl":"10.1002/agg2.70147","url":null,"abstract":"<p>The living biomass and carbon stock of <i>Citrus sinensis</i> (L. Osbeck) orchards from the citrus belt in the states of São Paulo and southwestern Minas Gerais, Brazil, is receiving increasing attention due to its role in the carbon balance of citrus production and in climate change mitigation. Orange trees were analyzed to develop allometric equations to estimate the carbon stock of living biomass at citrus orchards in Brazilian citrus belt. Above- and belowground living biomass and biometric variables were measured directly for 80 harvested orange trees, considering the Pera and Valencia orange varieties and four age classes (3–5, 6–10, 11–15, &gt;15-year old). Considering the 80 orange trees evaluated by direct method, the biomass ranged between 22 and 224 kg tree⁻¹, with the branches (54%) being the main compartment, followed by the roots (28%), leaves (10%), and trunk (8%). Allometric equations were developed using stepwise backward regression analysis. For carbon stock estimation, the allometric equation was applied in a sample of 1321 orange trees distributed inside the citrus belt studied. This sample represents the 162 million orange trees that are more than 3 years old in 337,091 ha, and has stocked more than 8.4 million Mg C in the living biomass. We show for the first time that orange tree biomass can be estimated by allometric equations and that these equations can be used to estimate the biomass of orange trees, and can be recommended for carbon biomass inventories for similar regions, orchards, tree size ranges, and site characteristics.</p>","PeriodicalId":7567,"journal":{"name":"Agrosystems, Geosciences & Environment","volume":"8 2","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agg2.70147","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144292743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of Ethiopian sorghum germplasm for resistance to anthracnose and performance for desirable agronomic traits","authors":"Chemeda Birhanu,&nbsp;Tesfaye Mengiste,&nbsp;Dagnachew Lule,&nbsp;Firew Mekbib,&nbsp;Zelalem Bekeko,&nbsp;Alemu Tirfessa,&nbsp;Pascal Okoye,&nbsp;Getachew Ayana,&nbsp;Gezahegn Girma,&nbsp;Habte Nida,&nbsp;Abera Takele","doi":"10.1002/agg2.70138","DOIUrl":"10.1002/agg2.70138","url":null,"abstract":"<p>Anthracnose, caused by the fungus <i>Colletotrichum sublineola</i>, is an economically important disease of sorghum [(<i>Sorghum bicolor</i> (L.) Moench] in warm and humid regions of Ethiopia. Frequent screening for resistance sources and the development of resistant varieties is crucial for disease management, but achieving resistance has been challenging due to the high variability of the pathogen. A total of 358 Ethiopian sorghum landraces were evaluated to identify anthracnose resistance and other desirable agronomic traits under natural infestation in the field and inoculation of plants in the greenhouse. Field evaluations were conducted at Asosa, Bako, Jimma, and Haramaya in Ethiopia for two growing seasons. Greenhouse screening was performed at Purdue University using a mixture of five strains of <i>C. sublineola</i>. Under field conditions, area under disease progress curve was used to determine anthracnose disease severity. In addition, major agronomic traits such as panicle weight, panicle yield, grain yield, and thousand-grain weight were recorded. Combined analysis of variance revealed highly significant (<i>p</i> &lt; 0.01) differences among accessions, locations, and genotype-by-environment interactions for disease parameters and agronomic traits. We identified 71 accessions showing consistent resistance, developing disease severity levels between 12% and 30% across locations. The analysis of greenhouse multi-strain screenings also revealed significant genetic variation with 33 accessions exhibiting resistant reactions without showing any disease symptoms. Overall, 55 accessions showed resistant reactions to anthracnose both under fields and greenhouse evaluations. The accessions with low anthracnose severity and high grain yield with desirable traits are valuable for future sorghum improvement programs.</p>","PeriodicalId":7567,"journal":{"name":"Agrosystems, Geosciences & Environment","volume":"8 2","pages":""},"PeriodicalIF":1.5,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/agg2.70138","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144292736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}