Yisha Li, Jingxia Du, Meilin Li, Wei Yao, Muqing Zhang
{"title":"中国甘蔗基因型对叶片灼伤病抗性的田间评估","authors":"Yisha Li, Jingxia Du, Meilin Li, Wei Yao, Muqing Zhang","doi":"10.1007/s12355-024-01476-z","DOIUrl":null,"url":null,"abstract":"<p>Leaf scald is one of the major bacterial diseases causing severe losses to the sugarcane industry. Utilizing disease-resistant genotypes has proved to be the safest, most economical, and effective method to control it. Therefore, we evaluated leaf scald disease (LSD) on 166 sugarcane genotypes in a field trial over three years (2019–2021). We found that the disease incidence and severity varied among genotypes, and the percentage of diseased genotypes differed significantly across crop seasons. ANOVA analysis revealed that Genotype, Year, and Genotype-by-Year interaction significantly affected LSD occurrence. However, the broad-sense heritability (<i>H</i><sub><i>B</i></sub><sup>2</sup>) for disease incidence (IC) and severity (DI) over three years was 0.72 and 0.68, respectively, suggesting that genetic factors play an essential role. To better classify the level of disease resistance, we performed cluster analysis using three years of disease incidence and severity; the accuracy of the cluster analysis was verified by discriminant analysis. Of the 166 sugarcane genotypes, 35 (21.08%) were highly resistant, 67 (40.36%) resistant, 24 (14.46%) moderately susceptible, 24 (14.46%) susceptible, and 16 (9.64%) highly susceptible. The total probability of discriminant analysis was 90.36%, indicating that the classification results were relatively accurate. The outcomes of this study provide a scientific basis for breeding and selecting resistant genotypes for commercial cultivation.</p>","PeriodicalId":781,"journal":{"name":"Sugar Tech","volume":"8 1","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Field Evaluation of Sugarcane Genotypes for Resistance to Leaf Scald Disease in China\",\"authors\":\"Yisha Li, Jingxia Du, Meilin Li, Wei Yao, Muqing Zhang\",\"doi\":\"10.1007/s12355-024-01476-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Leaf scald is one of the major bacterial diseases causing severe losses to the sugarcane industry. Utilizing disease-resistant genotypes has proved to be the safest, most economical, and effective method to control it. Therefore, we evaluated leaf scald disease (LSD) on 166 sugarcane genotypes in a field trial over three years (2019–2021). We found that the disease incidence and severity varied among genotypes, and the percentage of diseased genotypes differed significantly across crop seasons. ANOVA analysis revealed that Genotype, Year, and Genotype-by-Year interaction significantly affected LSD occurrence. However, the broad-sense heritability (<i>H</i><sub><i>B</i></sub><sup>2</sup>) for disease incidence (IC) and severity (DI) over three years was 0.72 and 0.68, respectively, suggesting that genetic factors play an essential role. To better classify the level of disease resistance, we performed cluster analysis using three years of disease incidence and severity; the accuracy of the cluster analysis was verified by discriminant analysis. Of the 166 sugarcane genotypes, 35 (21.08%) were highly resistant, 67 (40.36%) resistant, 24 (14.46%) moderately susceptible, 24 (14.46%) susceptible, and 16 (9.64%) highly susceptible. The total probability of discriminant analysis was 90.36%, indicating that the classification results were relatively accurate. The outcomes of this study provide a scientific basis for breeding and selecting resistant genotypes for commercial cultivation.</p>\",\"PeriodicalId\":781,\"journal\":{\"name\":\"Sugar Tech\",\"volume\":\"8 1\",\"pages\":\"\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2024-08-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sugar Tech\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.1007/s12355-024-01476-z\",\"RegionNum\":3,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"AGRONOMY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sugar Tech","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1007/s12355-024-01476-z","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AGRONOMY","Score":null,"Total":0}
Field Evaluation of Sugarcane Genotypes for Resistance to Leaf Scald Disease in China
Leaf scald is one of the major bacterial diseases causing severe losses to the sugarcane industry. Utilizing disease-resistant genotypes has proved to be the safest, most economical, and effective method to control it. Therefore, we evaluated leaf scald disease (LSD) on 166 sugarcane genotypes in a field trial over three years (2019–2021). We found that the disease incidence and severity varied among genotypes, and the percentage of diseased genotypes differed significantly across crop seasons. ANOVA analysis revealed that Genotype, Year, and Genotype-by-Year interaction significantly affected LSD occurrence. However, the broad-sense heritability (HB2) for disease incidence (IC) and severity (DI) over three years was 0.72 and 0.68, respectively, suggesting that genetic factors play an essential role. To better classify the level of disease resistance, we performed cluster analysis using three years of disease incidence and severity; the accuracy of the cluster analysis was verified by discriminant analysis. Of the 166 sugarcane genotypes, 35 (21.08%) were highly resistant, 67 (40.36%) resistant, 24 (14.46%) moderately susceptible, 24 (14.46%) susceptible, and 16 (9.64%) highly susceptible. The total probability of discriminant analysis was 90.36%, indicating that the classification results were relatively accurate. The outcomes of this study provide a scientific basis for breeding and selecting resistant genotypes for commercial cultivation.
期刊介绍:
The journal Sugar Tech is planned with every aim and objectives to provide a high-profile and updated research publications, comments and reviews on the most innovative, original and rigorous development in agriculture technologies for better crop improvement and production of sugar crops (sugarcane, sugar beet, sweet sorghum, Stevia, palm sugar, etc), sugar processing, bioethanol production, bioenergy, value addition and by-products. Inter-disciplinary studies of fundamental problems on the subjects are also given high priority. Thus, in addition to its full length and short papers on original research, the journal also covers regular feature articles, reviews, comments, scientific correspondence, etc.