Crop SciencePub Date : 2025-01-31DOI: 10.1002/csc2.21455
Neal Tilhou, Lisa Kissing Kucek, Virginia Moore, Solveig Hanson, Chris Reberg-Horton, Matthew R. Ryan, Nancy Jo Ehlke, Amy Bartow, Brandon Carr, Joel Douglas, John Englert, John Raasch, Alyssa J. Woodard, Jamie Crawford, Ryan Crawford, Shahjahan Ali, Suresh Bhamidimarri, Steven Mirsky, Maria J. Monteros, Gerry Moore, Audrey V. Gamble, Nithya Rajan, Sruthi Narayanan, Erin R. Haramoto, Nicholas T. Basinger, Virginia R. Sykes, Amanda McWhirt, Mark S. Reiter, Heathcliffe Riday
{"title":"Hairy vetch (Vicia villosa Roth) germplasm contains a cryptic second species (Vicia varia Host)","authors":"Neal Tilhou, Lisa Kissing Kucek, Virginia Moore, Solveig Hanson, Chris Reberg-Horton, Matthew R. Ryan, Nancy Jo Ehlke, Amy Bartow, Brandon Carr, Joel Douglas, John Englert, John Raasch, Alyssa J. Woodard, Jamie Crawford, Ryan Crawford, Shahjahan Ali, Suresh Bhamidimarri, Steven Mirsky, Maria J. Monteros, Gerry Moore, Audrey V. Gamble, Nithya Rajan, Sruthi Narayanan, Erin R. Haramoto, Nicholas T. Basinger, Virginia R. Sykes, Amanda McWhirt, Mark S. Reiter, Heathcliffe Riday","doi":"10.1002/csc2.21455","DOIUrl":"10.1002/csc2.21455","url":null,"abstract":"<p>Hairy vetch is a promising legume cover crop (<i>Vicia villosa</i> Roth) for the northern United States. Based on evidence from molecular markers, multi-site evaluations, and morphological observations, a distinct second species exists within US hairy vetch germplasm, referred to hereafter as smooth vetch (<i>Vicia varia</i> Host). Morphologically, hairy vetch is highly variable, but this study found statistically significant differences between smooth and hairy vetch in visual pubescence scores, plant maturity, and calyx lobe lengths. We used a panel of single sequence repeat (SSR) markers to assign cultivars and breeding materials to the two species and found that many commercial cultivars are smooth vetch. Interestingly, the SSR panel indicated that woollypod vetch (<i>Vicia dasycarpa</i> Ten.) is a subpopulation of hairy vetch. Based on an elastic net model trained with multi-site trial results from >35 site-years, smooth vetch is not winter hardy in the northern United States but has superior performance relative to hairy vetch in the south-central and Pacific Northwest United States. Specifically, smooth vetch has greater performance in environments with mild winters, cool spring temperatures, or low clay soils. Because of these differences in adaptation, differentiating these species will greatly improve agronomic outcomes and accelerate ongoing cover crop breeding progress.</p>","PeriodicalId":10849,"journal":{"name":"Crop Science","volume":"65 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143071991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Crop SciencePub Date : 2025-01-30DOI: 10.1002/csc2.70002
Jenny Kiesbauer, Roland Kölliker, Maria Hug, Meril Sindelar, Linda Helene Schlatter, Jonathan Ohnmacht, Bruno Studer, Christoph Grieder
{"title":"Higher seed yield through selection for reduced seed shattering in Italian ryegrass","authors":"Jenny Kiesbauer, Roland Kölliker, Maria Hug, Meril Sindelar, Linda Helene Schlatter, Jonathan Ohnmacht, Bruno Studer, Christoph Grieder","doi":"10.1002/csc2.70002","DOIUrl":"10.1002/csc2.70002","url":null,"abstract":"<p>Seed shattering, that is, the loss of seeds at ripening stage shortly before or during seed harvest, is strongly reducing seed yield in Italian ryegrass (<i>Lolium multiflorum</i> Lam.). The aim of this study was to evaluate the possibility to reduce seed shattering within breeding germplasm via recurrent phenotypic selection on spaced plants. Starting from a founder population of 300 plants not previously selected for seed shattering, two cycles of phenotypic selection for high and low seed shattering were performed based on spaced plants. The resulting five populations with different levels of selection for seed shattering (selected once or twice for low seed shattering, selected once or twice for high seed shattering, and no [random] selection) were phenotyped in plot trials with two harvesting dates (early and late). Seed shattering was highest in the population selected twice for increased seed shattering (7.92% for early and 28.44% for late harvesting), followed by the population selected once for increased seed shattering (7.34% early, 21.56% late), the non-selected population (6.12% early, 20.22% late), the population selected once for decreased seed shattering (4.13% early, 16.73% late), and the population selected twice for decreased seed shattering (2.41% early, 9.31% late). Selecting twice for low seed shattering resulted in a reduction of seed shattering by 10.91 percentage points at late harvest when compared to the non-selected population. Thus, recurrent phenotypic selection on spaced plants is appropriate to efficiently reduce seed shattering and to increase seed yield in sown plots, which is highly relevant for seed production.</p>","PeriodicalId":10849,"journal":{"name":"Crop Science","volume":"65 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143071990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Crop SciencePub Date : 2025-01-30DOI: 10.1002/csc2.21453
Anabelle Laurent, Eugenia Munaro, Honghua Zhao, Frank Technow, Eric Whitted, Randy Clark, Juan Pablo San Martin, Radu Totir
{"title":"Predicting inbred parent synchrony at flowering for maize hybrid seed production by integrating crop growth model with whole genome prediction","authors":"Anabelle Laurent, Eugenia Munaro, Honghua Zhao, Frank Technow, Eric Whitted, Randy Clark, Juan Pablo San Martin, Radu Totir","doi":"10.1002/csc2.21453","DOIUrl":"10.1002/csc2.21453","url":null,"abstract":"<p>One of the challenges of maize (<i>Zea mays</i>) hybrid seed production is to ensure synchrony at flowering of the two inbred parents of a hybrid, which depends on the specific parental combination and environmental conditions of the production field. Maize flowering can be simulated using a mechanistic crop growth model that converts thermal time accumulation to leaf numbers based on inbred-specific physiological parameter values. Heretofore, these inbred-specific physiological parameters need to be measured or assigned based on prior knowledge. Here, we leverage genetic, environmental, and management data to predict physiological parameters and simulate flowering phenotypes by using whole genome prediction methodology combined with a crop growth model (CGM–WGP) as part of in-field in-season inbred growth development. We use two estimation sets that differ in terms of management and weather information to test the robustness of our approach. As part of our findings, we demonstrate the importance of defining informative priors to generate biologically meaningful predictions of unobserved physiological parameters. Our CGM–WGP infrastructure is efficient at simulating flowering phenotypes. An important practical application of our method is the ability to recommend differential planting intervals for male and female maize inbreds used in commercial seed production fields to synchronize male and female flowering.</p>","PeriodicalId":10849,"journal":{"name":"Crop Science","volume":"65 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143071989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Crop SciencePub Date : 2025-01-30DOI: 10.1002/csc2.21454
Shirin Mohammadi, Anne Kjersti Uhlen, Heidi Udnes Aamot, Jon Arne Dieseth, Sahameh Shafiee
{"title":"Integrating UAV-based multispectral remote sensing and machine learning for detection and classification of chocolate spot disease in faba bean","authors":"Shirin Mohammadi, Anne Kjersti Uhlen, Heidi Udnes Aamot, Jon Arne Dieseth, Sahameh Shafiee","doi":"10.1002/csc2.21454","DOIUrl":"10.1002/csc2.21454","url":null,"abstract":"<p>Chocolate spot (CS), caused by <i>Botrytis fabae</i>, is one of the most destructive fungal diseases affecting faba bean (<i>Vicia faba</i> L.) globally. This study evaluated 33 faba bean cultivars across two locations and over 2 years to assess genetic resistance and the effect of fungicide application on CS progression. The utility of unmanned aerial vehicle–mounted multispectral camera for disease monitoring was examined. Significant variability was observed in cultivar susceptibility, with Bolivia exhibiting the highest level of resistance and Louhi, Sampo, Vire, Merlin, Mistral, and GL Sunrise proving highly susceptible. Fungicide application significantly reduced CS severity and improved yield. Analysis of canopy spectral signatures revealed the near-infrared and red edge bands, along with enhanced vegetation index (EVI) and soil adjusted vegetation index, as most sensitive to CS infection, and they had a strong negative correlation with CS severity ranging from −0.51 to −0.71. In addition, EVI enabled early disease detection in the field. Support vector machine accurately classified CS severity into four classes (resistant, moderately resistant, moderately susceptible, and susceptible) based on spectral data with higher accuracy after the onset of disease compared to later in the season (accuracy 0.75–0.90). This research underscores the value of integrating resistant germplasm, sound agronomic practices, and spectral monitoring for effectively identification and managing CS disease in faba bean.</p>","PeriodicalId":10849,"journal":{"name":"Crop Science","volume":"65 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143057345","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Crop SciencePub Date : 2025-01-26DOI: 10.1002/csc2.21447
Fatemeh Pirnajmedin, Mohammad Mahdi Majidi, Maryam Safari
{"title":"Genetic analysis of forage, seed, and turf quality in tall fescue: Unraveling inheritance patterns and interrelationships","authors":"Fatemeh Pirnajmedin, Mohammad Mahdi Majidi, Maryam Safari","doi":"10.1002/csc2.21447","DOIUrl":"10.1002/csc2.21447","url":null,"abstract":"<p>Tall fescue (<i>Festuca arundinacea</i> Schreb. syn. <i>Lolium arundinaceum</i>), an important cool-season grass, has limited understanding regarding its genetic inheritance patterns and the potential for simultaneous selection across forage, seed, and turf traits. In this study, 24 half-sib families derived from polycrosses, along with their corresponding parental genotypes, were assessed for different agro-morphological, seed, and turf quality characteristics in the field for 2 years (2019–2020). High genotypic variation was observed for all the measured traits. Moderate narrow-sense heritability (<i>h</i><sup>2</sup><sub>PFM</sub>) for turf quality and seed-related traits indicated that genetic variance predominates in total phenotypic variance of these traits. Low value of <i>h</i><sup>2</sup><sub>PFM</sub> (0.25) for dry forage yield (DFY) shows the high environmental influence on the expression of this economic trait. Indirect selection to improve DFY was more effective through its components, such as crown diameter (<i>h</i><sup>2</sup><sub>PFM </sub>= 0.43) and plant height (<i>h</i><sup>2</sup><sub>PFM </sub>= 0.48), which had higher heritability and positive correlation with forage yield. However, for seed and turf quality traits, direct selection would be possible during recurrent selection programs. The simultaneous selection for both forage yield and seed yield would be possible due to the positive correlation between them. Based on the application of multivariate analysis, parental genotypes and half-sib families with possible utility as forage and seed use or turf application were recognized, which can be used in the future breeding programs for developing synthetic varieties.</p>","PeriodicalId":10849,"journal":{"name":"Crop Science","volume":"65 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143044205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Crop SciencePub Date : 2025-01-20DOI: 10.1002/csc2.21444
Nsovo H. Baloyi, Alvera A. Voster, Pieter Swanepoel
{"title":"Bambara groundnut [Vigna subterranea (L.) Verdc.] genetic diversity and population structure assessed through next-generation sequencing technologies: Restriction-site-associated DNA sequencing","authors":"Nsovo H. Baloyi, Alvera A. Voster, Pieter Swanepoel","doi":"10.1002/csc2.21444","DOIUrl":"10.1002/csc2.21444","url":null,"abstract":"<p>The importance of underutilized crops in the diversification of diets for both humans and animals, among other uses, has been highlighted in literature in recent times. Underutilized crops are especially important because of their potential to provide nutrient-packed, climate-resilient, and sustainable farming practices. One such crop is Bambara groundnut [<i>Vigna subterranea</i> (L.) Verdc], whose genetic potential has not been afforded sufficient research attention. For most of the rural areas in Sub-Saharan Africa, it is a great source of food and income and is most valued for its nutrient richness and ability to thrive in marginal land. However, farmers grapple with the lack of high agronomic quality seeds where production of the crop is concerned. The aim of this study was to establish an easy basis for selecting seeds that are of favorable agronomic potential by assessing whether a singular characteristic (seed coat color) was sufficient to group landraces. Restriction-site-associated DNA (RAD) sequencing was used for the first time to assess the genetic variations and/or similarities in 48 Bambara groundnut landraces. The findings revealed that there are two populations that are genetically variable among the chosen 48 landraces; however, these variations were not as a result of a singular morphological attribute. Therefore, farmers cannot use coat color alone to select for landraces that are of better agronomic quality.</p>","PeriodicalId":10849,"journal":{"name":"Crop Science","volume":"65 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/csc2.21444","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142991497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Crop SciencePub Date : 2025-01-20DOI: 10.1002/csc2.21450
Carolina E. Weldt, Greta Rockstad, Gabriel de Siqueira Gesteira, Beatriz T. Gouveia, Robert E. Austin, Xingwang Yu, Susana R. Milla-Lewis
{"title":"Integration of multi-omics approaches reveals candidate genes for drought stress in St. Augustinegrass (Stenotaphrum secundatum)","authors":"Carolina E. Weldt, Greta Rockstad, Gabriel de Siqueira Gesteira, Beatriz T. Gouveia, Robert E. Austin, Xingwang Yu, Susana R. Milla-Lewis","doi":"10.1002/csc2.21450","DOIUrl":"10.1002/csc2.21450","url":null,"abstract":"<p>There is growing demand across the turfgrass industry for turfgrasses that require minimal watering. St. Augustinegrass [<i>Stenotaphrum secundatum</i> (Walt.) Kuntze], a warm-season turfgrass favored in the southeastern United States for its shade tolerance and vigorous stoloniferous growth, falls short in drought resistance. Integrating genomic and conventional breeding methodologies could accelerate the introduction of cultivars that thrive with less water. In this study, a population derived from the cross of breeding lines XSA10098 and XSA10127 was evaluated for drought resistance in field trials, where percent green cover and normalized difference vegetation index were collected by unmanned aerial vehicle-based phenotyping. A multiple quantitative trait loci (QTL) mapping approach identified 22 QTL, with overlapping regions on linkage groups 1, 2, 4, and 9 between this and previous studies. In addition, a detailed transcriptomic analysis on the roots of two St. Augustinegrass genotypes with contrasting drought responses revealed 1642 and 2669 differentially expressed genes (DEGs) in the drought-tolerant and drought-sensitive genotypes, respectively. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes classification showed different pathways adopted by the two genotypes in response to drought stress. Moreover, integration of QTL mapping and transcriptomic analyses identified five DEGs co-localized in overlapping QTL regions, which exhibit great value to potentially serve as targets to facilitate marker-assisted selection. The findings in this study contribute to a deeper understanding of the genetic basis of drought tolerance in St. Augustinegrass, facilitating the development of more robust breeding strategies for enhancing drought resilience in this important turfgrass species.</p>","PeriodicalId":10849,"journal":{"name":"Crop Science","volume":"65 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/csc2.21450","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142991508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Crop SciencePub Date : 2025-01-19DOI: 10.1002/csc2.21452
João Leonardo Corte Baptistella, Carl Knuckles, Mark Wieberg, Germano Costa-Neto, William Wiebold, André Froés de Borja Reis
{"title":"Detecting environmental trends to rethink soybean variety testing programs","authors":"João Leonardo Corte Baptistella, Carl Knuckles, Mark Wieberg, Germano Costa-Neto, William Wiebold, André Froés de Borja Reis","doi":"10.1002/csc2.21452","DOIUrl":"10.1002/csc2.21452","url":null,"abstract":"<p>Variety testing programs (VTPs) use multi-environment trials (MET) to evaluate and report the performance of commercially available and pre-commercial soybean (<i>Glycine max</i> L. Merr.) varieties targeting a specific set of environments. Adequate modeling of the environmental variability and genotype–environment interactions (G × E) within the VTP would help farmers and seed companies decide which variety to choose or recommend. We propose an approach to characterize environments using the soybean data from the University of Missouri VTP. We modeled an environmental trend (EnvT) based on the phenotypic mean performance and the observed phenotype in each environment. The environments were classified into four different EnvT environment types, and soil and climate data were used as predictors of the EnvT through eXtreme Gradient Boosting (XGBoost) model. Temperature on late vegetative and flowering, soil-saturated hydraulic conductivity, and silt content were key drivers of EnvT. The approach identified overrepresented environments (62%) and increased the ratio between variety and G × E variance. A simulation case study verified that the random removal of overrepresented sites from the dataset quickly degraded G × E analysis, implying that increasing the number of underrepresented sites is recommended. Our results demonstrate that environmental characterization is essential for optimizing resource allocation within VTP, thereby supporting the end goal of aiding farmers to utilize the best varieties for their production environment.</p>","PeriodicalId":10849,"journal":{"name":"Crop Science","volume":"65 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142990038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Characterization of differentiating lines of phytophthora in soybean","authors":"Guilherme dos Santos, Volmir Sergio Marchioro, Daniela Meira, Marcos Toebe, Giovani Benin","doi":"10.1002/csc2.21451","DOIUrl":"10.1002/csc2.21451","url":null,"abstract":"<p>The objective of this study was the characterization of commercial cultivars, differentiating lines/cultivars of <i>Phytophthora sojae</i> carrying <i>Rps</i> (resistance <i>Phytophthora Sojae</i>) genes, inoculated with different pathotypes. Thirty-one differentiating soybeans (<i>Glycine max</i> (L.) Merrill) lines/cultivars carrying <i>Rps</i> genes and six commercial cultivars were evaluated for virulence pattern to PS2.4, PS14.4, PS36.1, PS34.1, and CMES1608 pathotypes. Inoculations were performed using the toothpick technique, with reaction evaluation about 15 days after infection, where the number of healthy, infected, and dead seedlings was quantified. There was a difference in resistance for the pathotypes, and the most virulent were PS34.1 and PS36.1. The <i>Rps1k</i>, <i>Rps11</i>, and <i>Rp12</i> genes deserve to be highlighted by resistance to the PS34.1 pathotype and the <i>Rps1k</i>, <i>Rps11</i>, <i>Rp12</i>, and <i>Rps8</i> genes to the PS36.1 pathotype. The line L77-1863 (<i>Rps1b</i>) showed resistance to the PS2.4 and PS14.4 pathotypes. The characterization of the genotypes allowed the updating of information about them and the identification of new possibilities of resistance sources.</p>","PeriodicalId":10849,"journal":{"name":"Crop Science","volume":"65 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142989988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Crop SciencePub Date : 2025-01-13DOI: 10.1002/csc2.21448
Audrey K. Morrison, Irwin L. Goldman
{"title":"Chromosome 1 QTLs associated with response to bacterial leaf spot in Beta vulgaris","authors":"Audrey K. Morrison, Irwin L. Goldman","doi":"10.1002/csc2.21448","DOIUrl":"10.1002/csc2.21448","url":null,"abstract":"<p>Bacterial leaf spot (BLS), caused by <i>Pseudomonas syringae</i> pathovar <i>aptata</i> (<i>Psa</i>), is a seedborne, foliar disease affecting members of the Amaranthaceae and Cucurbitaceae families, including table beet and Swiss chard crops. There is no known resistance to BLS in beet or chard. A diversity panel, modified from the Wisconsin Beta Diversity Panel (WBDP) and comprised of 219 accessions from the <i>Beta vulgaris</i> crop complex, was assembled and genotyped for single nucleotide polymorphism data. These accessions were screened by foliar inoculation of <i>Psa</i> and visually evaluated for percentage of diseased leaf tissue. Overall, sugar beet and <i>Beta vulgaris</i> subsp. <i>maritima</i> accessions had the lowest BLS response, whereas table beet accessions had the largest range of responses. Phenotypic means were adjusted using best linear unbiased estimates, and two different software programs, GWASpoly and GAPIT3, were utilized to conduct a genome-wide association study (GWAS). Leaf color was found to be significantly associated with and correlated with BLS response scores, and was used as a covariate in GWAS analysis. An association with BLS response was detected on chromosome 1 in the full WBDP, explaining upward of 21% of the variation in the phenotype. The marker associated with this quantitative trait locus (QTL), Chr1_61344476, showed an additive relationship between dosage and BLS response. Eleven candidate genes, described and annotated in sugar beet, were associated with this QTL. Some of these include F Box domains, RNA-binding proteins, and calcium-dependent kinases, all of which have roles in plant defense responses. Marker Chr1_61344476 may be useful in breeding for BLS resistance in members of the <i>Beta vulgaris</i> crop complex.</p>","PeriodicalId":10849,"journal":{"name":"Crop Science","volume":"65 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/csc2.21448","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142967999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}