American Journal of Potato Research最新文献

{"title":"Genetic Ranking of Potato Varieties is Different in Scandinavian and Mediterranean Environments","authors":"Muhammad Farhan Yousaf,&nbsp;Hélène Romé,&nbsp;Merethe Bagge,&nbsp;Mathias Timmermann,&nbsp;Just Jensen,&nbsp;Thinh Tuan Chu","doi":"10.1007/s12230-026-10059-5","DOIUrl":"10.1007/s12230-026-10059-5","url":null,"abstract":"<div><p>Understanding genotype-by-environment interaction (G×E) is essential for breeding potato cultivars adapted to different regions. We analyzed ~ 13,000 tetraploid breeding lines evaluated over 17 years in Denmark (DK), Spain (ES), and Morocco (MO), representing Scandinavian and Mediterranean mega-environments. A pedigree-based mixed model was fitted for yield, tuber size, and resistance towards scab. Significant G×E was detected for yield and scab, evidenced by lack of unit genetic correlations between environments, heterogeneous genetic variances, and differing heritabilities. Additive genetic correlations for yield were 0.54 (DK–ES), 0.64 (DK–MO), and 0.78 (ES–MO); scab correlation between DK and ES&amp;MO was 0.6. Yield genetic variance in ES was more than twice compared with DK and MO, whereas scab variance was higher in DK. Tuber size showed weaker G×E (r_a = 0.82). Within mega-environments, genotype × environment components explained 16.8–26.9% of yield variance. Results indicate substantial re-ranking of breeding values; therefore, environment-specific prediction is recommended.</p></div>","PeriodicalId":7596,"journal":{"name":"American Journal of Potato Research","volume":"103 4","pages":"527 - 538"},"PeriodicalIF":1.5,"publicationDate":"2026-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12230-026-10059-5.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148553280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"Pressure Flattening Simulation and Associated Response After Unloading Russet Burbank Potatoes From Storage","authors":"Pankaj Kumar Yadav,&nbsp;Maiqui Izidoro,&nbsp;Vanessa Maria Dantas Pedrosa,&nbsp;Samuel Paytosh,&nbsp;Jessica Smith,&nbsp;Renata Carneiro,&nbsp;Nora Olsen,&nbsp;Munevver Dogramaci,&nbsp;Gustavo Henrique de Almeida Teixeira","doi":"10.1007/s12230-026-10054-w","DOIUrl":"10.1007/s12230-026-10054-w","url":null,"abstract":"<div><p>Cutting black is an internal dark gray/black discoloration associated with pressure bruise in potatoes stored in piles, where sustained compression causes flattened areas and enzymatic browning. This defect leads to significant post-harvest losses, particularly affecting the fresh market. This 2-year study evaluated the effects of 1-methylcyclopropene, nitric oxide, and diphenylamine on cutting black development during simulated bulk storage of Russet Burbank potatoes. Tubers were stored at 7.2 °C and 95% relative humidity for 7 months under no pressure or constant downward pressure equivalent to 1.66 m pile height, 1,217.53 and 1,220.32 kg m². Pressure increased the external flattened area (7.7% vs. 0.1%), but no internal discoloration was observed. Electrolyte leakage, polyphenol oxidase, and peroxidase enzymatic activity did not vary significantly with applied pile pressure and treatment, suggesting that pressure bruise-damaged areas might require pile pressures higher than 1,220.32 kg m² (1.66 m) for cutting black to develop.</p></div>","PeriodicalId":7596,"journal":{"name":"American Journal of Potato Research","volume":"103 4","pages":"468 - 482"},"PeriodicalIF":1.5,"publicationDate":"2026-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12230-026-10054-w.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148553151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"Temporal Dynamics of Potato Late Blight Epidemics and its Correlation with Variables in Chongqing City, China","authors":"Weiran Zhong,&nbsp;Jin Yang,&nbsp;De Yang,&nbsp;Jian Zhou,&nbsp;Jianlong Ou,&nbsp;Yujia Zhao","doi":"10.1007/s12230-026-10062-w","DOIUrl":"10.1007/s12230-026-10062-w","url":null,"abstract":"<div><p>This study investigated the epidemic temporal dynamics of potato late blight epidemic and its meteorological driving mechanisms in Chongqing mountainous areas from 2020 to 2022 based on principal component analysis (PCA), Pearson correlation analysis, grey relational analysis (GRA), and lag effect models. The PCA and Pearson correlation analysis results indicated that daily mean temperature served as the core driver with a variance contribution of 58.7% and correlation coefficient r of 0.485, exhibiting a significant promoting effect at lag period 1 (β = 10.765) and an inhibitory effect at lag period 3 (β=-15.064). Additionally, GRA revealed that precipitation exhibited the highest grey relational degree (0.85), indicating its nonlinear effects on disease transmission. Model screening showed that the S-curve model (R²=0.92) was effective in characterizing the three-period epidemic pattern (latency-outbreak-stability period), among which the daily growth rate of the disease during the disease index growth period reached up to 11.05%. This study proposed an early warning system based on temperature fluctuation monitoring and recommended initiating intervention in the early stage of the disease. Our findings provide theoretical foundation for precision control over potato late blight in Southwest China’s mountainous regions.</p></div>","PeriodicalId":7596,"journal":{"name":"American Journal of Potato Research","volume":"103 5","pages":"584 - 594"},"PeriodicalIF":1.5,"publicationDate":"2026-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12230-026-10062-w.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149099045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"Efficacy of Different Nematicides for Ditylenchus destructor Management in Potato in Sandy Land of China","authors":"Chunbo Qian,&nbsp;Wen Wang,&nbsp;Zhengjun Ren,&nbsp;Qianqian Zhang,&nbsp;Yiwei Yang,&nbsp;Qing Chang,&nbsp;Bailin Liu","doi":"10.1007/s12230-026-10058-6","DOIUrl":"10.1007/s12230-026-10058-6","url":null,"abstract":"<div><p>This study aimed to assess the efficacy of fluopyram (Lufuda) in controlling <i>Ditylenchus destructor</i> (rot nematode) in sandy soils of China and to evaluate its marginal return on investment. Field trials were conducted in Yulin City, Shaanxi Province, during 2023 and 2024. The study compared six nematicide treatments: T1 (Lufuda), T2 (Judiyou), T3 (Xuelongsu), T4 (Wood vinegar solution), T5 (Thiamethoxam + Abamectin), T6 (Nematode Buster + 60 billion microbial agent), and an untreated control. The results indicated that T1 (Lufuda) achieved the best control effect against the potato rot nematode over the two-year trial, with relative control efficacies of 68.52% (2023) and 85.79% (2024), and nematode population reduction rates of 70.43% (2023) and 35.48% (2024), respectively. After two consecutive years of application, the control efficacy of T2 and T6 exceeded 50%, and their continuous use effectively reduced disease incidence. In contrast, the field efficacy of T4 and T5 was unstable, likely influenced by environmental conditions, while T3 exhibited relatively poor control efficacy. The combined treatments of Lufuda + nano-adjuvant (T1-2) and Judiyou + nano-adjuvant (T2-2) had higher yield and marginal return than the corresponding single treatments Lufuda (T1-1) and Judiyou (T2-1), indicating that the nano-adjuvant can effectively enhance the efficacy of Lufuda and Judiyou. Different nematicide treatments showed no significant regular impact on potato quality (vitamin C, protein, starch content). This research provides a practical basis for the sustainable management of the potato rot nematode in sandy soils of China.</p></div>","PeriodicalId":7596,"journal":{"name":"American Journal of Potato Research","volume":"103 4","pages":"515 - 526"},"PeriodicalIF":1.5,"publicationDate":"2026-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148553152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Harnessing the Genetic Diversity of the Colombian Central Collection of Potatoes to Dissect Pigmentation Genomics in Andigenum Landraces","authors":"Luis Garreta,&nbsp;Zahara L. Lasso-Paredes,&nbsp;Jhon A. Berdugo-Cely,&nbsp;Ivania Cerón-Souza,&nbsp;Paula H. Reyes-Herrera","doi":"10.1007/s12230-026-10049-7","DOIUrl":"10.1007/s12230-026-10049-7","url":null,"abstract":"<div><p>The Colombian Central Collection of potatoes (CCC) is one of the most diverse germplasm resources in the country and a primary source of genetic variability for breeding. Approximately 67% of its accessions belong to the <i>Andigenum</i> group, which exhibits remarkable color diversity and associated nutraceutical potential. However, the genetic architecture of the color traits in this group remains poorly understood. In this study, we analyzed historical phenotypic data to explore the genetic basis of pigmentation in <i>Andigenum</i> accessions from the CCC. Color traits across tuber skin, tuber flesh, flowers, stems, and sprouts were assessed using the Royal Horticultural Society Color Chart, and Genome-Wide Association Studies (GWAS) and genomic prediction were performed using high-density SNP markers. We identified 21 significant SNP–trait associations, 12 of which overlapped or were located near loci previously reported for pigmentation or tuber-related traits, whereas the remaining nine represented novel associations. Several color traits showed moderate to high heritability (<span>(h^2)</span> &gt; 0.55), and genomic prediction achieved predictive abilities of up to 0.84 for primary flower color and 0.71 for stem color. We conclude that these findings provide new insights into the genetic control of color traits in <i>Andigenum</i> potatoes, identify valuable molecular markers for selection, and underscore the importance of conserving and utilizing traditional landraces for the development of nutritionally enhanced cultivars and advancement of food security.</p></div>","PeriodicalId":7596,"journal":{"name":"American Journal of Potato Research","volume":"103 4","pages":"400 - 417"},"PeriodicalIF":1.5,"publicationDate":"2026-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12230-026-10049-7.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148553119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"Promoting the Release of Potato Tuber Dormancy Soon After Harvest","authors":"N. A. Gelles,&nbsp;N. Olsen,&nbsp;M. K. Thornton,&nbsp;R. L. Hendricks,&nbsp;A. V. Karasev","doi":"10.1007/s12230-026-10060-y","DOIUrl":"10.1007/s12230-026-10060-y","url":null,"abstract":"<div><p>Potato dormancy is a major obstacle in post-harvest evaluations for the certification of seed. Objectives of this study were to evaluate the efficacy of several treatments to break dormancy and induce sprouting soon after harvest for Russet Burbank, Clearwater Russet, and Umatilla Russet. Treatments included: (a) control held at 18.3 C, (b) cold-stratification held at 4.4 C for two weeks, (c) temperature fluctuation held at 4.4 C for five days, 18.3 C for four days, then 4.4 C for five days, (d) a dip in 20 ppm gibberellic acid (GA) solution, e, f, g) three different applications of cold aerosol smoke, and h) a combination of cold aerosol smoke followed by a dip in GA solution. Treatments were applied at three separate timings (individual trials) approximately four (October), six (November), and 10 (December) weeks after harvest and repeated over two years. Sprout development was evaluated weekly following each application. Treatments were more effective at promoting sprouting at later application timings. Cold-stratification and temperature fluctuations did not significantly increase the odds or probability of sprout development for any application timing or cultivar compared to the control. Smoke and GA based treatments increased the odds of having greater sprout development compared to the control at each timing. The combination of smoke and GA significantly encouraged sprout development and sprout length compared to the control. This study provided efficacy data for several dormancy breaking techniques that could be used for seed certification post-harvest testing, greenhouse production, or multiple cropping within a year.</p></div>","PeriodicalId":7596,"journal":{"name":"American Journal of Potato Research","volume":"103 5","pages":"564 - 583"},"PeriodicalIF":1.5,"publicationDate":"2026-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12230-026-10060-y.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149098414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"UAV-Based Multi-Feature Machine Learning Framework for Early Blight (Alternaria solani) Detection and Precision Spray Zoning in Potato","authors":"Shefali Vinod Ramteke,&nbsp;Pritish Kumar Varadwaj","doi":"10.1007/s12230-026-10057-7","DOIUrl":"10.1007/s12230-026-10057-7","url":null,"abstract":"<p>Early blight caused by <i>Alternaria solani</i> remains a major constraint to sustainable potato production, often managed through repeated prophylactic fungicide applications. This study develops a UAV-based, multi-feature machine-learning framework for early blight detection and precision spray zoning using low-cost RGB imagery under realistic field conditions. Ultra-high-resolution UAV images from two growing seasons (2019 and 2022) were analyzed using a publicly available, expert-annotated dataset. In addition to conventional RGB vegetation indices, including the Excess Green Index (ExG) and the Visible Atmospherically Resistant Index (VARI), a Chlorophyll–Water Content Index (CWCI) was evaluated as a stress-sensitive trait and integrated with RGB statistical features, LAB color-space descriptors, and texture metrics. Five machine-learning classifiers were compared using stratified five-fold cross-validation. Ensemble-based models outperformed linear approaches, with Random Forest achieving the most stable performance (mean ROC-AUC ≈ 0.79; accuracy ≈ 0.72). Feature-importance analysis revealed that texture and color-space features were dominant predictors, while CWCI ranked among the most informative spectral traits, demonstrating its complementary value within a multi-feature framework rather than as a standalone index. Classifier outputs were further translated into risk-based spray zones to evaluate agronomic relevance. Simulated variable-rate spraying scenarios indicated that restricting fungicide application to moderate- and high-risk zones could reduce treated area by approximately 44–50% compared with blanket spraying, while maintaining conservative disease coverage. Overall, the results demonstrate that RGB UAV imagery, when combined with biologically informed feature engineering and ensemble learning, can support spatially explicit disease risk mapping and decision-support for integrated pest management. The study highlights both the potential and limitations of RGB-based UAV systems for early blight monitoring and underscores the importance of multi-feature modeling for robust, interpretable, and practically relevant disease detection.</p>","PeriodicalId":7596,"journal":{"name":"American Journal of Potato Research","volume":"103 4","pages":"503 - 514"},"PeriodicalIF":1.5,"publicationDate":"2026-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148553183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dune Russet: A French-Fry Potato Cultivar with High Specific Gravity under High-Temperature Growing Conditions and Excellent Processing Quality after Long-Term Cold Storage","authors":"M. Isabel Vales,&nbsp;Douglas C. Scheuring,&nbsp;Jeffrey W. Koym,&nbsp;Jeewan Pandey,&nbsp;Stephany E. Toinga-Villafuerte,&nbsp;Joshua R. Johnson,&nbsp;Caroline P. Gray,&nbsp;David G. Holm,&nbsp;Mohamad Chikh-Ali,&nbsp;Robert G. Wilson,&nbsp;Richard G. Novy,&nbsp;Jonathan L. Whitworth,&nbsp;Rhett R. Spear,&nbsp;Vidyasagar Sathuvalli,&nbsp;Jacob M. Blauer,&nbsp;Mark J. Pavek,&nbsp;Max Feldman,&nbsp;Darrin Haagenson","doi":"10.1007/s12230-026-10055-9","DOIUrl":"10.1007/s12230-026-10055-9","url":null,"abstract":"<div><p>Dune Russet (COTX08063-2Ru) is the first French fry russet potato cultivar released by the Texas A&amp;M Potato Breeding Program. It derives from a cross made by the Colorado State University Potato Program between Premier Russet and A99073-1 and was subsequently selected and advanced by the Texas Program. Dune Russet has oblong potato tubers with light russet skin texture and white flesh. It is characterized by having excellent French fry quality and cold-induced sweetening resistance, producing light-colored fries directly from the field and even after several months (three to eight) in cold storage at 4.4 °C. Dune Russet is especially recommended for areas that experience high-temperature stress during the growing season, as it can retain high specific gravity near 1.090 and produce light French fries despite heat stress. Across multi-location trials, Dune Russet outperformed the reference cultivar, Russet Burbank, and other processing cultivars in French fry quality, while offering some field-based PVY tolerance and good agronomic performance, including competitive marketable yields and a high proportion of US No. 1 tubers.</p></div>","PeriodicalId":7596,"journal":{"name":"American Journal of Potato Research","volume":"103 4","pages":"483 - 502"},"PeriodicalIF":1.5,"publicationDate":"2026-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12230-026-10055-9.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148560053","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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":"Advancing Breeding Strategies for Late Blight Resistance in Potatoes","authors":"Zulfiqar Ali Sahito,&nbsp;Vikas Mangal,&nbsp;Oswald Nkurikiyimfura,&nbsp;Ibrahim M. Abouelgalagel,&nbsp;Sandeep Kumar Singh,&nbsp;Salej Sood,&nbsp;Zhijian Zhao,&nbsp;Jianming Bai,&nbsp;Zhechao Pan","doi":"10.1007/s12230-026-10056-8","DOIUrl":"10.1007/s12230-026-10056-8","url":null,"abstract":"<div><p>Late blight, caused by <i>Phytophthora infestans</i>, remains one of the most devastating diseases of potato worldwide, which causes significant yield losses in major potato growing regions. Its ‘Irish Potato Famine’ history reminds us of a lesson, how a single pathogen with high genetic plasticity and an ability to exploit monoculture systems, can destabilize food systems at continental scales. This underscores the need for durable, sustainable resistance for this deadly pathogen. Breeding for resistance is widely recognized as the most sustainable and environmentally friendly approach to manage this disease. This review summarizes recent advancements in both conventional and molecular potato breeding strategies, which also highlights their integration into practical potato breeding programs. Traditional approaches such as gene pyramiding and introgression of resistance (R) genes from wild Solanum relatives are now complemented by modern tools which includes marker-assisted selection (MAS), haplotype based GWAS, genomic selection (GS), pan-genomics and gene editing via CRISPR/Cas9 to accelerate the development of late blight-resistant cultivars with broad-spectrum and durable resistance. Integrating these molecular tools with conventional phenotypic selection is shown to shorten breeding cycles and enhance cultivar adaptation to evolving new pathogen populations. Emerging new resources like pan-genomics and haplotype analysis provide a more comprehensive understanding of potato genetic diversity, which enables the identification of novel resistance alleles for crop improvement. Despite significant progress, challenges remain: <i>P. infestans</i> is highly adaptive, environmental variability can undermine resistance, and the potato tetraploid genome complicates genetic analysis and breeding. Achieving long-lasting late blight control will require a multifaceted approach that combines multiple R genes or quantitative resistance loci with broader integrated disease management practices. Finally, future directions emphasize linking breeding with integrated disease management and incorporating multi-omics data and climate-resilience considerations into breeding programs to ensure long-term, sustainable control of late blight.</p></div>","PeriodicalId":7596,"journal":{"name":"American Journal of Potato Research","volume":"103 4","pages":"379 - 399"},"PeriodicalIF":1.5,"publicationDate":"2026-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148553208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Phenotypic Evaluation of Resistance to Globodera pallida Pathotype Pa2/3 in Russet-Skinned Potato","authors":"Rocio Silvestre,&nbsp;Louise-Marie Dandurand,&nbsp;Richard Novy,&nbsp;Julia Piaskowski,&nbsp;Inga Zasada,&nbsp;Joseph C. Kuhl","doi":"10.1007/s12230-026-10053-x","DOIUrl":"10.1007/s12230-026-10053-x","url":null,"abstract":"<div><p><i>Globodera pallida</i>, a quarantine potato cyst nematode (PCN), has had a significant economic impact on the Idaho potato industry. Developing resistant commercial varieties has been challenging because the predominant russet potato market class lacks resistance to <i>G. pallida</i>, and no single major resistance gene has been identified. This study characterized the phenotypic resistance to the Idaho <i>G. pallida</i> pathotype Pa2/3 population in a tetraploid russet potato population derived from PCN-resistant ‘Eden’ and PCN-susceptible ‘Western Russet’. A total of 227 offspring were distributed over three years with a different subset of the population evaluated each year alongside four cultivar controls, and four PCN differential clones. Phenotypic evaluations were conducted under greenhouse conditions to evaluate traits related to cyst and egg development. Progeny showing resistance similar to ‘Eden’ constituted 13.7%, 23.4%, and 18.1% based on cysts, eggs/cyst and eggs/clone, respectively. Identifying resistant progeny through this phenotypic evaluation highlights individuals likely carrying favorable alleles, providing a valuable genetic contribution for breeding programs and research.</p></div>","PeriodicalId":7596,"journal":{"name":"American Journal of Potato Research","volume":"103 4","pages":"454 - 467"},"PeriodicalIF":1.5,"publicationDate":"2026-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12230-026-10053-x.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148553233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}