Crop Science最新文献

{"title":"Rust resistance in barley accessions County and BHS248","authors":"Kelly Jordaan,&nbsp;Willem H. P. Boshoff,&nbsp;Oadi Matny,&nbsp;Daniël de Klerk,&nbsp;Brian J. Steffenson,&nbsp;Wilku B. Meyer,&nbsp;Zakkie A. Pretorius,&nbsp;Renée Prins","doi":"10.1002/csc2.70318","DOIUrl":"https://doi.org/10.1002/csc2.70318","url":null,"abstract":"<p>Rusts can cause devastating losses of barley (<i>Hordeum vulgare</i> L.) in epidemic years. Several reactions to <i>Puccinia hordei</i> (<i>Rph</i>) genes/quantitative trait loci (QTLs) for resistance to barley leaf rust (BLR) have been documented. In contrast, there is a dearth of characterized resistance sources against stem rust (SR) caused by <i>Puccinia graminis</i>. This study aimed to genetically characterize novel and known SR and BLR loci in the resistant barley accessions County and BHS248. To achieve this, two recombinant inbred line (RIL) populations (<i>n</i> = 200) were developed using Hiproly as a rust-susceptible parent. QTL mapping was performed utilizing genotypic data predominantly generated on the barley 50k iSelect single-nucleotide polymorphism array and phenotypic results from multi-year trials in South Africa and USA. A major QTL on chromosome 4H (<i>QPgt.cg-4_CH</i>) for adult plant resistance (APR) to SR race PTKST explained up to 18.2% variation. Another major QTL on 5H (designated <i>QPgt.cg-5_CH</i>), also effective to PTKST, is likely <i>RPG-qtl-5H-11_11355</i>. The APR gene <i>Rph20</i> (herein named <i>QPh.cg-5.1_CH</i>) and all-stage resistance gene <i>Rph27</i> (designated <i>QPh.cg-4_BH</i>) mapped to 5H and 4H, respectively. For BLR, major effect APR QTLs were identified on 2H and 6H in both populations. Published markers were used to assess if the 6H resistance was contributed by <i>Rph24</i>, but the latter locus did not map to 6H. Kompetitive allele specific PCR assays were designed spanning most of the major QTL identified. These should be useful in tracking the introgression of rust resistance in local germplasm.</p>","PeriodicalId":10849,"journal":{"name":"Crop Science","volume":"66 4","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/csc2.70318","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148343039","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}

{"title":"Tall fescue performance in response to natural organic and synthetic granular fertilizers and Rhizoctonia solani inoculation","authors":"Jada S. Powlen,&nbsp;Michael A. Fidanza,&nbsp;James P. Kerns,&nbsp;Lori Hoagland,&nbsp;Cale A. Bigelow","doi":"10.1002/csc2.70321","DOIUrl":"https://doi.org/10.1002/csc2.70321","url":null,"abstract":"<p>Repeated applications of natural organic based fertilizers can benefit soil health and potentially suppress some turfgrass diseases. One of the major summer diseases affecting many lawns is brown patch (caused by various <i>Rhizoctonia</i> and <i>Rhizoctonia</i>-like species). Information regarding the use of natural fertilizers to reduce brown patch in cool-season lawns containing turf-type tall fescue (TTTF) [<i>Schedonorus arundinaceus</i> (Schreb.) Dumort., nom. cons.] is limited. A 5-year field study was conducted in West Lafayette, IN, to determine the influence of a wide range of commercially available natural organic based fertilizers on brown patch severity in a TTTF lawn. Seven natural organic granular fertilizers were compared to synthetic granular fertilizer, a granular fungicide control (FUNG), and a non-fertilized control (UTC). Each fertilizer was applied at 24.5 kg N ha⁻¹ in May, June, July, and late September/early October from 2020 to 2024. Visual turf quality, percent disease severity, and various soil properties were measured. During the five growing seasons, natural and synthetic fertilizer sources generally maintained higher visual quality compared to UTC. While the FUNG treatment was the most effective at reducing brown patch severity, select fertilizer sources reduced disease severity by as much as 70% compared to UTC. Brown patch severity for the fertilizer or fungicide treatments was generally not correlated with any soil property measured in this study. When selecting strategies to help reduce dependence on lawn fungicides, these data demonstrate that programmed seasonal applications of select fertilizer sources could be a component of a best management practices program to meet that goal.</p>","PeriodicalId":10849,"journal":{"name":"Crop Science","volume":"66 4","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/csc2.70321","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148343183","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}

{"title":"Facilitating hands-on plant breeding training: A case study in genetic gain and genomic selection in a student-led barley breeding program","authors":"Sydney Graham,&nbsp;Reka Howard,&nbsp;Katherine Frels","doi":"10.1002/csc2.70314","DOIUrl":"https://doi.org/10.1002/csc2.70314","url":null,"abstract":"<p>The University of Nebraska Barley (<i>Hordeum vulgare</i> L.) Breeding Program is led by doctoral students who aim to develop high-yielding winter barley varieties. The student breeders are responsible for crossing, data collection, and advancement decisions, which provides firsthand career preparation experience. However, the impact of student leadership on the success of the program is unknown. This study used a historical yield dataset of 302 unique advanced lines grown in Nebraska from 2002 to 2022 to evaluate the realized genetic gain of the breeding program and as a training population for genomic selection (GS). For yield GS, entries from a new observation nursery were used as the testing set. GS models included variations of genomic best linear unbiased prediction, four Bayesian models (Bayes A, Bayes B, Bayes C, Bayes LASSO [Bayesian least absolute shrinkage and selection operator]), and two machine learning approaches (random forest and support vector machine). The realized genetic gain for yield was 62.4 kg/ha/year or 2.2% annual increase. The Bayes A model trained on a single location (Lincoln, NE) achieved the highest predictive accuracy for yield (<i>r</i> = 0.420). Implementing GS for yield was successful in the Nebraska barley breeding program and can aid future student barley breeders by providing selection continuity between leadership transitions.</p>","PeriodicalId":10849,"journal":{"name":"Crop Science","volume":"66 3","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/csc2.70314","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148282414","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}

{"title":"Density‐dependent trade‐off between competitive ability and population yield in wheat is mediated by reproductive allometry","authors":"Yuan Li, Xiao‐Wei Yang, Jacob Weiner, Yong‐He Zhu, Feng‐Min Li, Yan‐Lei Du","doi":"10.1002/csc2.70315","DOIUrl":"https://doi.org/10.1002/csc2.70315","url":null,"abstract":"Despite efforts by plant breeders to develop higher‐yielding cereal genotypes, genetic gains in major crops have decelerated. Genes identified in controlled environments as having the potential to increase yield often fail to do so in the field due to undetermined genotype × environment interactions. We hypothesize that this reflects plant‐plant interactions and allometric allocation to reproduction. To test this, we grew two modern wheat ( <jats:italic>Triticum aestivum</jats:italic> L.) cultivars—the recently released LD211 and the established check cultivar LT19—along a density gradient of 45–788 plants/m <jats:sup>2</jats:sup> in field experiments at two locations. The modern cultivar LD211 exhibited weaker competitive ability (lower relative yield in mixture) but higher monoculture yield at densities above 450 plants/m <jats:sup>2</jats:sup> than LT19. At the more productive site, LD211 reached a maximum estimated yield of 844.5 g/m <jats:sup>2</jats:sup> at 561 plants/m <jats:sup>2</jats:sup> , while LT19 peaked at 820.8 g/m <jats:sup>2</jats:sup> at 483 plants/m <jats:sup>2</jats:sup> . The yield advantage of LD211 was driven by a higher reproductive allometric exponent ( <jats:italic>α</jats:italic> ), which was significantly higher than that of LT19 ( <jats:italic>p</jats:italic> &lt; 0.05), particularly at densities ≥225 plants/m <jats:sup>2</jats:sup> . LD211's α increased with planting density ( <jats:italic>p</jats:italic> &lt; 0.01), whereas LT19's remained stable. A strong negative relationship was found between α and competitive ability ( <jats:italic>p</jats:italic> &lt; 0.001). Total aboveground biomass did not differ between the genotypes. We conclude that LD211 achieves higher population yield by reducing individual competitiveness and adjusting resource allocation to reproduction as plant size increases, a density‐dependent trade‐off mediated by reproductive allometry. Allometric analysis of allocation in the context of plant‐plant interactions may offer a pathway to breaking yield ceilings in cereal crops.","PeriodicalId":10849,"journal":{"name":"Crop Science","volume":"98 1","pages":""},"PeriodicalIF":2.3,"publicationDate":"2026-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148286117","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":"Impact of breeding over the years on Canadian Brassica napus canola","authors":"Anubhav Tripathi,&nbsp;Mousum Dhar,&nbsp;Berisso Kebede,&nbsp;Habibur Rahman","doi":"10.1002/csc2.70313","DOIUrl":"https://doi.org/10.1002/csc2.70313","url":null,"abstract":"<p>Significant improvements of Canadian <i>Brassica napus</i> canola have been made over the past decades through traditional plant breeding. The objective of this study was to evaluate the oilseed <i>B. napus</i> accessions from a gene bank and canola breeding programs of an industry (private) and the University of Alberta (UofA, public). The pedigree of the UofA accessions largely included exotic germplasms such as winter canola and rutabaga, while the pedigree of the industry and gene bank accessions was not known. A total of 282 accessions from these three sources were evaluated for 32 morphological, agronomic, and seed quality traits in four field trials in Alberta. Results indicate that breeding over time has improved canola for earliness of flowering, higher seed yield, oil content, sum of oil and protein contents, and reduced glucosinolate content. Among the three groups, the UofA accessions gave higher yield and had higher oil content. Of the UofA accessions, the third and fourth cycle breeding materials developed from crosses involving winter canola and rutabaga gave higher yield and had higher oil and sum of oil and protein contents than those from spring × spring crosses, as well as the accessions from industry. This superior performance implies the need for multiple cycles of breeding to develop improved canola lines when using exotic germplasm in crosses as well as highlights the need for a public-private partnership for efficient utilization of exotic gene pools in breeding.</p>","PeriodicalId":10849,"journal":{"name":"Crop Science","volume":"66 3","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/csc2.70313","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148281927","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}

{"title":"Modeling genotype-by-environment interaction for variety recommendation in tropical wheat","authors":"João M. A. Sousa,&nbsp;Gabriel M. Blasques,&nbsp;Aurinelza T. Condé,&nbsp;Amilton F. Silva,&nbsp;José R. Eides,&nbsp;Rafael T. L. Fronza,&nbsp;Samuel B. Fernandes,&nbsp;Pedro C. S. Carneiro,&nbsp;Leonardo L. Bhering,&nbsp;Maicon Nardino,&nbsp;Kaio Olimpio G. Dias","doi":"10.1002/csc2.70309","DOIUrl":"https://doi.org/10.1002/csc2.70309","url":null,"abstract":"<p>The complexity of genotype-by-environment interaction reinforces the need for robust methods in cultivar recommendation. Its unpredictability demands prediction under untested conditions, a challenge intensified by climate change. Breeding programs must anticipate, before harvest, which genotype–management combinations will be most effective. Here, we present a modification of the geographic information system–factor analytic (GIS-FA) predictive approach that integrates GIS techniques, multi-management FA models, partial least squares regression, and environmental covariates (ECs) to predict phenotypic performance in unevaluated environments. The dataset comprised 91 inbred lines and 12 commercial cultivars from the Wheat Breeding Program at the Federal University of Viçosa (UFV), evaluated across 6 years and seven locations (25 environments). An environmental dissimilarity map indicated that southern regions were more similar to the experimental network, whereas northern areas exhibited higher dissimilarity values, reflecting stronger environmental divergence from the observed trial conditions. Integrating 83 ECs improved yield predictions. In rainfed conditions, the pixel-by-pixel model predicted an average yield of 4183 kg ha <span></span><math>\u0000 <semantics>\u0000 <msup>\u0000 <mrow></mrow>\u0000 <mrow>\u0000 <mo>−</mo>\u0000 <mn>1</mn>\u0000 </mrow>\u0000 </msup>\u0000 <annotation>$^{-1}$</annotation>\u0000 </semantics></math>, surpassing the best genotype (UFV_19013) selected by the factor analytic selection tools by 9.8%. Under irrigation, the yield gain reached 13.4%, with 4756 kg ha <span></span><math>\u0000 <semantics>\u0000 <msup>\u0000 <mrow></mrow>\u0000 <mrow>\u0000 <mo>−</mo>\u0000 <mn>1</mn>\u0000 </mrow>\u0000 </msup>\u0000 <annotation>$^{-1}$</annotation>\u0000 </semantics></math> compared to 4195 kg ha <span></span><math>\u0000 <semantics>\u0000 <msup>\u0000 <mrow></mrow>\u0000 <mrow>\u0000 <mo>−</mo>\u0000 <mn>1</mn>\u0000 </mrow>\u0000 </msup>\u0000 <annotation>$^{-1}$</annotation>\u0000 </semantics></math> for UFV_19042. These results highlight the potential of spatially explicit approaches for more accurate and site-specific recommendations.</p>","PeriodicalId":10849,"journal":{"name":"Crop Science","volume":"66 3","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/csc2.70309","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148281957","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}

{"title":"Distribution and migration of heavy metal(loid)s in the rock–soil–plant system on the Camellia oleifera plantation in Ceheng County, Guizhou Province, China","authors":"Haijie Song,&nbsp;Yishu Peng,&nbsp;Xiaofei Yang,&nbsp;Tao Jin","doi":"10.1002/csc2.70311","DOIUrl":"https://doi.org/10.1002/csc2.70311","url":null,"abstract":"<p>To provide a theoretical foundation for the management practices in the later stage, as well as to assess the quality of <i>Camellia oleifera</i> seed oil, we determined the heavy metal(loid) (HM) concentrations in the rock–soil–plant system of <i>C. oleifera</i> plantation, Ceheng County, Guizhou Province, China. There is a slight contamination of soil Cd on the <i>C. oleifera</i> plantation in Ceheng County, with no pollution risk for the other soil HMs. In contrast, soil Mn demonstrated pure migration from rock to soil (migration accumulation coefficient &lt; 1), while the soil relatively accumulates As, Cd, Pb, Zn, and Cr. <i>Camellia oleifera</i> exhibits a strong ability to absorb and tolerate Mn, particularly in its old leaves, where concentrations reached 1580.83 mg kg⁻¹. Notably, the Ni concentration in <i>C. oleifera</i> seeds averaged 2.44 mg kg⁻¹, which exceeds its standard, while the other HMs are lower than their standards. Although the Cd concentration in the <i>C. oleifera</i> seed is safe, it is necessary to strengthen monitoring and prevent soil Cd in the study area. Therefore, there should be a monitoring of the Cd and Ni concentrations in <i>C. oleifera</i> seed oil within the research area.</p>","PeriodicalId":10849,"journal":{"name":"Crop Science","volume":"66 3","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148281951","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":"Genetic progress from 15 years of white oat breeding in Brazil","authors":"Willyan Júnior Adorian Bandeira,&nbsp;Ivan Ricardo Carvalho,&nbsp;José Antonio Gonzalez da Silva,&nbsp;Nadia Canali Lângaro,&nbsp;Cosme Damião Cruz","doi":"10.1002/csc2.70310","DOIUrl":"https://doi.org/10.1002/csc2.70310","url":null,"abstract":"<p>Despite advances in crop management and breeding, cereals still face considerable yield losses from phytopathogens and lodging caused by adverse weather. Developing oat genotypes that combine disease tolerance, lodging resistance, and industrial quality is therefore essential, and the estimation of genetic progress allows validation of strategies and redirection of breeding goals. The objective of this study was to estimate the genetic progress achieved by white oat breeding programs over 15 years for agronomic and industry-relevant traits. Multi-environment trials were conducted in 23 Brazilian municipalities under rainfed conditions, using a randomized block design. Traits evaluated included crop cycle stages, plant height, lodging, incidence of bacterial blight, leaf spot, rusts, and barley yellow dwarf virus, as well as hectoliter weight, hulling index, and grain yield. Data were analyzed by restricted maximum likelihood, with genetic progress estimated using the Breseghello model. Results indicated significant gains in reducing lodging and in decreasing the incidence of leaf rust, stem rust, and barley yellow dwarf virus. No progress was detected for leaf spot or bacterial blight, and hectoliter weight exhibited a negative trend. Grain yield displayed a genetic gain of 11.33 kg ha⁻¹ year⁻¹, accompanied by improvements in the hulling index. This study extends previous estimates of genetic progress in Brazilian oats by evaluating a broader set of genotypes in diverse environments. The findings confirm relevant advances while underscoring persistent challenges, highlighting the need for innovative approaches and advanced models to better account for management, physiological, and environmental effects on genotype performance.</p>","PeriodicalId":10849,"journal":{"name":"Crop Science","volume":"66 3","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/csc2.70310","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148282643","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}

{"title":"Phenotypic approaches for Fusarium head blight resistance in wheat: A review","authors":"Riley McConachie,&nbsp;John Sulik,&nbsp;Mitra Serajazari,&nbsp;Helen Booker","doi":"10.1002/csc2.70305","DOIUrl":"https://doi.org/10.1002/csc2.70305","url":null,"abstract":"<p>Fusarium head blight (FHB) of wheat (<i>Triticum aestivum</i> L.) is primarily caused by the fungal pathogen <i>Fusarium graminearum</i>. This disease can cause significant economic loss due to decreasing yield, reducing seed quality, and the production of deoxynivalenol (DON); therefore, resistance to the disease is a primary concern for breeders. Phenotyping methods largely depend on the resistance mechanism being evaluated, but traditional approaches are often time-consuming, subjective, and largely inaccurate. This review explores and contrasts traditional and modern phenotypic methods for various FHB resistance components. Digital image-based phenotyping spans low-cost RGB (red, green, blue) (i.e., Bayer array) sensors, multispectral sensors, and hyperspectral sensors. Across these sensors, approaches using spectral indices or deep learning have shown strong promise for detecting and classifying infection in both wheat spikes and kernels. Hyperspectral imaging has been largely explored and can be used to accurately estimate infection in spikes and kernels, as well as estimate DON content in the grain, using spectral indices or models input with specific wavebands. However, waveband-specific approaches do not generalize well to new data, and hyperspectral imaging is significantly more resource-intensive than RGB or multispectral cameras, limiting its practicality for most breeding programs. Phenotypic approaches using spectral indices and/or deep learning on digital images show the most potential for use in wheat breeding, due to their scalability and low cost. However, the widespread adoption of these techniques will depend on standardized imaging protocols, robust generalization across diverse genotypes, and effective integration into breeding pipelines.</p>","PeriodicalId":10849,"journal":{"name":"Crop Science","volume":"66 3","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/csc2.70305","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148282639","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}

{"title":"Higher copy number of an Arachis hypogaea glutamate receptor-like candidate gene is associated with increased resistance to tomato spotted wilt virus","authors":"S. Webb,&nbsp;Y. Chu,&nbsp;A. K. Biswal,&nbsp;W. Korani,&nbsp;S. Botton,&nbsp;S. Pokhrel,&nbsp;E. Thompson,&nbsp;B. Guo,&nbsp;A. K. Culbreath,&nbsp;J. Clevenger,&nbsp;C. C. Holbrook,&nbsp;P. Ozias-Akins","doi":"10.1002/csc2.70306","DOIUrl":"https://doi.org/10.1002/csc2.70306","url":null,"abstract":"<p><i>Orthotospovirus tomatomaculae</i> (tomato spotted wilt virus, TSWV) is one of the most destructive viruses of the peanut (<i>Arachis hypogaea</i> L.) crop, with significant economic consequences. Genetic resistance is desired to prevent major yield losses for growers. SSD6 and its progeny NC94022 have been introduced as resistance sources for breeding new varieties. Genetic evaluation of NC94022-derived populations previously reported multiple quantitative trait loci for resistance on chromosome Arahy.01. Subsequently, an insertion region from NC94022, and its parent SSD6, was found from whole genome sequencing. A unique quadrupled <i>glutamate receptor-like</i> (<i>GLR</i>) gene was identified within the insertion region as a potential candidate gene for resistance. Eight populations were derived from crosses made between a single recombinant inbred line (RIL) containing the insertion region and four copies of the <i>GLR</i> gene, and eight unique parents without those. Field evaluation over three generations revealed a significant increase in TSWV resistance when the insertion region was present with high <i>GLR</i> copy number. All populations showed improved resistance when compared with susceptible varieties and their unique parents, while only a few were as resistant as NC94022 or the RIL parent, perhaps due to <i>GLR</i> gene copy number variation that may be attributed to early generation heterozygosity. These results suggest that improved TSWV resistance from SSD6 or NC94022 may be most efficiently selected by screening for higher <i>GLR</i> gene copy number.</p>","PeriodicalId":10849,"journal":{"name":"Crop Science","volume":"66 3","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/csc2.70306","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148282641","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}