Vinicius C Garnica, Mohammad Nasir Shalizi, Peter S Ojiambo
{"title":"冬小麦品种对斑病病多环境试验的表现及稳定性","authors":"Vinicius C Garnica, Mohammad Nasir Shalizi, Peter S Ojiambo","doi":"10.1094/PHYTO-12-24-0398-R","DOIUrl":null,"url":null,"abstract":"<p><p>Field performance of winter wheat genotypes with quantitative resistance to Stagonospora nodorum blotch is influenced by genotype-by-environment interactions (GEI). This phenomenon explains why cultivars may perform inconsistently across environments, affecting decisions on locally adapted varieties. Further, GEI can also impact risk assessment when cultivar reaction is used as a model predictor under the assumption of stability of responses across environments. Thus, this study investigated GEI effects on four disease metrics; final disease severity (SEV), relative area under disease progress stairs (rAUDPS), time to 50% disease incidence (T<sub>50</sub>) and the apparent rate of disease increase (ω), describing SNB epidemics of 18 commercial soft red winter wheat cultivars planted in 18 environments in North Carolina from 2021 to 2024. Linear mixed models with various variance-covariance structures for random effects were used to analyze the disease data and a 3rd order factor analytic model provided the best fit to the data across the metrics examined. Type B genetic correlation (<i>r<sub>g</sub></i>), broad-sense heritability (<i>Hb</i>^2), overall cultivar performance (<i>OP</i>), and global stability (<i>RMSD</i>), were estimated using model outputs and the factor analytic selection tool method. For SEV, rAUDPS and T<sub>50</sub>, values of <i>r<sub>g</sub></i> ranged from -0.15 to 0.99 with most environment pairs exhibiting high <i>r<sub>g</sub></i> values indicating an agreement in cultivar rankings. Cultivar 'USG 3230' was the top-performing and most stable, while 'TURBO' and 'SH7200' were more unstable cultivars. Cultivar reaction classes derived from <i>OP</i> exhibited consistent class-level means of marginal predictions supporting their utility as stable indicators of SNB susceptibility in risk assessment models.</p>","PeriodicalId":20410,"journal":{"name":"Phytopathology","volume":" ","pages":""},"PeriodicalIF":3.1000,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Performance and Stability of Winter Wheat Cultivars to Stagonospora Nodorum Blotch Epidemics in Multi-Environment Trials.\",\"authors\":\"Vinicius C Garnica, Mohammad Nasir Shalizi, Peter S Ojiambo\",\"doi\":\"10.1094/PHYTO-12-24-0398-R\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Field performance of winter wheat genotypes with quantitative resistance to Stagonospora nodorum blotch is influenced by genotype-by-environment interactions (GEI). This phenomenon explains why cultivars may perform inconsistently across environments, affecting decisions on locally adapted varieties. Further, GEI can also impact risk assessment when cultivar reaction is used as a model predictor under the assumption of stability of responses across environments. Thus, this study investigated GEI effects on four disease metrics; final disease severity (SEV), relative area under disease progress stairs (rAUDPS), time to 50% disease incidence (T<sub>50</sub>) and the apparent rate of disease increase (ω), describing SNB epidemics of 18 commercial soft red winter wheat cultivars planted in 18 environments in North Carolina from 2021 to 2024. Linear mixed models with various variance-covariance structures for random effects were used to analyze the disease data and a 3rd order factor analytic model provided the best fit to the data across the metrics examined. Type B genetic correlation (<i>r<sub>g</sub></i>), broad-sense heritability (<i>Hb</i>^2), overall cultivar performance (<i>OP</i>), and global stability (<i>RMSD</i>), were estimated using model outputs and the factor analytic selection tool method. For SEV, rAUDPS and T<sub>50</sub>, values of <i>r<sub>g</sub></i> ranged from -0.15 to 0.99 with most environment pairs exhibiting high <i>r<sub>g</sub></i> values indicating an agreement in cultivar rankings. Cultivar 'USG 3230' was the top-performing and most stable, while 'TURBO' and 'SH7200' were more unstable cultivars. Cultivar reaction classes derived from <i>OP</i> exhibited consistent class-level means of marginal predictions supporting their utility as stable indicators of SNB susceptibility in risk assessment models.</p>\",\"PeriodicalId\":20410,\"journal\":{\"name\":\"Phytopathology\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2025-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Phytopathology\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.1094/PHYTO-12-24-0398-R\",\"RegionNum\":2,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PLANT SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Phytopathology","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1094/PHYTO-12-24-0398-R","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PLANT SCIENCES","Score":null,"Total":0}
Performance and Stability of Winter Wheat Cultivars to Stagonospora Nodorum Blotch Epidemics in Multi-Environment Trials.
Field performance of winter wheat genotypes with quantitative resistance to Stagonospora nodorum blotch is influenced by genotype-by-environment interactions (GEI). This phenomenon explains why cultivars may perform inconsistently across environments, affecting decisions on locally adapted varieties. Further, GEI can also impact risk assessment when cultivar reaction is used as a model predictor under the assumption of stability of responses across environments. Thus, this study investigated GEI effects on four disease metrics; final disease severity (SEV), relative area under disease progress stairs (rAUDPS), time to 50% disease incidence (T50) and the apparent rate of disease increase (ω), describing SNB epidemics of 18 commercial soft red winter wheat cultivars planted in 18 environments in North Carolina from 2021 to 2024. Linear mixed models with various variance-covariance structures for random effects were used to analyze the disease data and a 3rd order factor analytic model provided the best fit to the data across the metrics examined. Type B genetic correlation (rg), broad-sense heritability (Hb^2), overall cultivar performance (OP), and global stability (RMSD), were estimated using model outputs and the factor analytic selection tool method. For SEV, rAUDPS and T50, values of rg ranged from -0.15 to 0.99 with most environment pairs exhibiting high rg values indicating an agreement in cultivar rankings. Cultivar 'USG 3230' was the top-performing and most stable, while 'TURBO' and 'SH7200' were more unstable cultivars. Cultivar reaction classes derived from OP exhibited consistent class-level means of marginal predictions supporting their utility as stable indicators of SNB susceptibility in risk assessment models.
期刊介绍:
Phytopathology publishes articles on fundamental research that advances understanding of the nature of plant diseases, the agents that cause them, their spread, the losses they cause, and measures that can be used to control them. Phytopathology considers manuscripts covering all aspects of plant diseases including bacteriology, host-parasite biochemistry and cell biology, biological control, disease control and pest management, description of new pathogen species description of new pathogen species, ecology and population biology, epidemiology, disease etiology, host genetics and resistance, mycology, nematology, plant stress and abiotic disorders, postharvest pathology and mycotoxins, and virology. Papers dealing mainly with taxonomy, such as descriptions of new plant pathogen taxa are acceptable if they include plant disease research results such as pathogenicity, host range, etc. Taxonomic papers that focus on classification, identification, and nomenclature below the subspecies level may also be submitted to Phytopathology.