Vikrant Singh, S. K. Mishra, Barun Bishwas, Kuldeep Singh
Sugarcane cultivation is targeted with early varieties having stable higher CCS (commercial cane sugar) yield potential. Therefore, studies were made on 18 traits over three years (2016-19) with seven genotypes at Regional Research Station, PAU, Faridkot. Different multivariate statistical techniques were used for assessing the potential of CCS contributing traits and clonal stability. The observed significant differences due to varieties, years and their interactions were self explaining the role of genotypic differences and weather factors. Cane yield t/ha (CY), CCS t/ha (CCS.T) and their contributing traits were positively loaded on different axes in principal component analyses (PCA). Single cane weight (SCW) was observed to be the primary contributing trait for CY; while brix % and sucrose % for CCS %, and CY for CCS.T were the major contributing traits. CoPb 13181 was observed the most suitable clone for the region. Further, Eberhart & Russell’s model was found more appropriate for judging the genotype(s) to environment specificity while “GGE Biplot” was best to evaluate the environments for their discriminating power to genotypes.
{"title":"Evaluation of early maturing sugarcane (Saccharum spp. complex) clones for sugar yield and its contributing traits and stability","authors":"Vikrant Singh, S. K. Mishra, Barun Bishwas, Kuldeep Singh","doi":"10.37992/2024.1502.055","DOIUrl":"https://doi.org/10.37992/2024.1502.055","url":null,"abstract":"Sugarcane cultivation is targeted with early varieties having stable higher CCS (commercial cane sugar) yield potential. Therefore, studies were made on 18 traits over three years (2016-19) with seven genotypes at Regional Research Station, PAU, Faridkot. Different multivariate statistical techniques were used for assessing the potential of CCS contributing traits and clonal stability. The observed significant differences due to varieties, years and their interactions were self explaining the role of genotypic differences and weather factors. Cane yield t/ha (CY), CCS t/ha (CCS.T) and their contributing traits were positively loaded on different axes in principal component analyses (PCA). Single cane weight (SCW) was observed to be the primary contributing trait for CY; while brix % and sucrose % for CCS %, and CY for CCS.T were the major contributing traits. CoPb 13181 was observed the most suitable clone for the region. Further, Eberhart & Russell’s model was found more appropriate for judging the genotype(s) to environment specificity while “GGE Biplot” was best to evaluate the environments for their discriminating power to genotypes.","PeriodicalId":11638,"journal":{"name":"ELECTRONIC JOURNAL OF PLANT BREEDING","volume":"56 26","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141663458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Meghachandra Singh I., U. Ngangkham, K. Sarika, Y. S. Devi, Thounaojam Seileshkumar Singh, Basanta Singh T., Rishikanta Singh Kh., Lamalakshmi Devi E., Amit Kumar, Monalisa Nameirakpam, Umananda Arambam, Thokchom Diviya, Ramgopal Laha
Rice variety differentiation was based on morphological descriptors (DUS) before the advent of genomic and proteomic technology. DNA fingerprinting is becoming an important molecular marker approach because of its wide application in varietal protection, classification, and conflict settlement. In the present study, genetic diversity and variability among the 11 rice varieties of Manipur at the molecular level was studied using 42 SSR markers. The genotypic data of the SSR markers revealed four sub-populations. Cluster analysis indicated the close similarity between RC Maniphou 12 and RC Maniphou 15. To create a DNA fingerprinting database for 11 rice varieties, three separate multiplex PCR systems using different combinations of 11 polymorphic SSR markers based on amplicon size were successfully developed . These were able to distinguish the distinctness of all the eleven released rice varieties.
在基因组学和蛋白质组学技术出现之前，水稻品种的区分主要基于形态描述符（DUS）。由于 DNA 指纹技术在品种保护、分类和冲突解决方面的广泛应用，它正成为一种重要的分子标记方法。本研究使用 42 个 SSR 标记对曼尼普尔 11 个水稻品种在分子水平上的遗传多样性和变异性进行了研究。SSR 标记的基因型数据显示了四个亚群。聚类分析表明，RC Maniphou 12 和 RC Maniphou 15 非常相似。 为了建立 11 个水稻品种的 DNA 指纹数据库，成功开发了三个独立的多重 PCR 系统，使用基于扩增子大小的 11 个多态 SSR 标记的不同组合。这些标记能够区分所有 11 个已发布水稻品种的不同之处。
{"title":"Genetic diversity and DNA fingerprinting of rice varieties of Manipur using microsatellite markers","authors":"Meghachandra Singh I., U. Ngangkham, K. Sarika, Y. S. Devi, Thounaojam Seileshkumar Singh, Basanta Singh T., Rishikanta Singh Kh., Lamalakshmi Devi E., Amit Kumar, Monalisa Nameirakpam, Umananda Arambam, Thokchom Diviya, Ramgopal Laha","doi":"10.37992/2024.1502.063","DOIUrl":"https://doi.org/10.37992/2024.1502.063","url":null,"abstract":"Rice variety differentiation was based on morphological descriptors (DUS) before the advent of genomic and proteomic technology. DNA fingerprinting is becoming an important molecular marker approach because of its wide application in varietal protection, classification, and conflict settlement. In the present study, genetic diversity and variability among the 11 rice varieties of Manipur at the molecular level was studied using 42 SSR markers. The genotypic data of the SSR markers revealed four sub-populations. Cluster analysis indicated the close similarity between RC Maniphou 12 and RC Maniphou 15. To create a DNA fingerprinting database for 11 rice varieties, three separate multiplex PCR systems using different combinations of 11 polymorphic SSR markers based on amplicon size were successfully developed . These were able to distinguish the distinctness of all the eleven released rice varieties.","PeriodicalId":11638,"journal":{"name":"ELECTRONIC JOURNAL OF PLANT BREEDING","volume":"123 32","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141666527","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Exploring agro-morphological variation, genetic diversity, and trait associations in castor (Ricinus communis L.) genotypes","authors":"","doi":"10.37992/2024.1502.050","DOIUrl":"https://doi.org/10.37992/2024.1502.050","url":null,"abstract":"","PeriodicalId":11638,"journal":{"name":"ELECTRONIC JOURNAL OF PLANT BREEDING","volume":" 42","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141372273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Sadhu, M. Chakraborty, Suvendu Kumar, R. Mandal, L. Hijam, Manoj Kanti Debnath, Anjan Roy, S. Rout
In the present experiment, 71 Indian mustard ( Brassica juncea ) genotypes were evaluated in six environments for two successive years (three environments in each year) to identify the influence of environment over the genotypes and to identify the stable, better-performing genotypes in respect to yield in Terai region of West Bengal. Statistical analysis was carried out to evaluate genotype × environment interaction using two different approaches, namely, additive main effect, and their multiplicative interaction model (AMMI) and genotype plus genotype by environment interaction (GGE) biplot for seed yield of mustard genotypes. AMMI ANOVA showed that genotype and environment accounted for 11.46% and 47.50% of the variation respectively, where GEI captured 36.57% of the variation for seed yield. The AMMI model and GGE biplots showed that genotype RGIN-73 was the highest yielding genotype to a specific environment but DRWR-15-9 was found to be well stable with good yielding in all environments.
{"title":"Genotype by environment interaction in mustard (Brassica juncea) under Terai Agro-Climatic zone using the AMMI model and GGE biplot","authors":"S. Sadhu, M. Chakraborty, Suvendu Kumar, R. Mandal, L. Hijam, Manoj Kanti Debnath, Anjan Roy, S. Rout","doi":"10.37992/2024.1502.045","DOIUrl":"https://doi.org/10.37992/2024.1502.045","url":null,"abstract":"In the present experiment, 71 Indian mustard ( Brassica juncea ) genotypes were evaluated in six environments for two successive years (three environments in each year) to identify the influence of environment over the genotypes and to identify the stable, better-performing genotypes in respect to yield in Terai region of West Bengal. Statistical analysis was carried out to evaluate genotype × environment interaction using two different approaches, namely, additive main effect, and their multiplicative interaction model (AMMI) and genotype plus genotype by environment interaction (GGE) biplot for seed yield of mustard genotypes. AMMI ANOVA showed that genotype and environment accounted for 11.46% and 47.50% of the variation respectively, where GEI captured 36.57% of the variation for seed yield. The AMMI model and GGE biplots showed that genotype RGIN-73 was the highest yielding genotype to a specific environment but DRWR-15-9 was found to be well stable with good yielding in all environments.","PeriodicalId":11638,"journal":{"name":"ELECTRONIC JOURNAL OF PLANT BREEDING","volume":" 36","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141371931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ponaganti Shiva, Kishore, Suvendu Kumar, Saikat Das, Basid Ali, S. Vishnupriya, L. Hijam, M. Chakraborty, Puspendu Dutta, R. Mandal, Avijit Kundu, S. Rout
The present study was carried out to evaluate variability among 50 diverse genotypes of wheat ( Triticum aestivum L. ) for yield attributes and biotic factor like spot blotch during 2018-19 rabi season. Observations were recorded for morpho-phenetic traits, physiological parameter and disease observations of spot blotch ( Bipolaris sorokiniana (Sacc.) Shoem) was done at four crop growth stages viz. 85 DAS, 92 DAS, 99 DAS and 106 DAS. The mean value of chlorophyll index (CI) indicated gradual decline of CI with advancement in growth stages. Highest value of AUCIDC was shown by ESWYT-50 (128.33), while the lowest value was exhibited by ESWYT-25 (22.75). Mean value of disease severity in the different growth stages indicated gradual increase in disease severity along with advancement in growth stages. Correlation study among AUDPC, AUCIDC along with three morpho-phenotypic traits revealed significant and positive correlation between AUDPC and AUCIDC. The D 2 analysis distributed 50 wheat genotypes into six clusters. The genotypes having lower selection index values were ESWYT-36, ESWYT-40, ESWYT-22, ESWYT-35, ESWYT-18, ESWYT-10, and ESWYT-1, which were also distributed in different divergent clusters as per D 2 analysis. Thus, they could be used as spot blotch resistant genotypes with early flowering type along with high yield. All the traits exhibited low PCV and GCV values indicating the presence of common parents in the ancestry of the wheat genotypes.
{"title":"Classification of wheat genotypes on the basis of morphological and physiological traits in combination with spot blotch resistance under terai sub-Himalayan region","authors":"Ponaganti Shiva, Kishore, Suvendu Kumar, Saikat Das, Basid Ali, S. Vishnupriya, L. Hijam, M. Chakraborty, Puspendu Dutta, R. Mandal, Avijit Kundu, S. Rout","doi":"10.37992/2024.1502.046","DOIUrl":"https://doi.org/10.37992/2024.1502.046","url":null,"abstract":"The present study was carried out to evaluate variability among 50 diverse genotypes of wheat ( Triticum aestivum L. ) for yield attributes and biotic factor like spot blotch during 2018-19 rabi season. Observations were recorded for morpho-phenetic traits, physiological parameter and disease observations of spot blotch ( Bipolaris sorokiniana (Sacc.) Shoem) was done at four crop growth stages viz. 85 DAS, 92 DAS, 99 DAS and 106 DAS. The mean value of chlorophyll index (CI) indicated gradual decline of CI with advancement in growth stages. Highest value of AUCIDC was shown by ESWYT-50 (128.33), while the lowest value was exhibited by ESWYT-25 (22.75). Mean value of disease severity in the different growth stages indicated gradual increase in disease severity along with advancement in growth stages. Correlation study among AUDPC, AUCIDC along with three morpho-phenotypic traits revealed significant and positive correlation between AUDPC and AUCIDC. The D 2 analysis distributed 50 wheat genotypes into six clusters. The genotypes having lower selection index values were ESWYT-36, ESWYT-40, ESWYT-22, ESWYT-35, ESWYT-18, ESWYT-10, and ESWYT-1, which were also distributed in different divergent clusters as per D 2 analysis. Thus, they could be used as spot blotch resistant genotypes with early flowering type along with high yield. All the traits exhibited low PCV and GCV values indicating the presence of common parents in the ancestry of the wheat genotypes.","PeriodicalId":11638,"journal":{"name":"ELECTRONIC JOURNAL OF PLANT BREEDING","volume":" 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141372290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The role of genetic divergence in determining heterosis in castor (Ricinus communis L.)","authors":"","doi":"10.37992/2024.1502.053","DOIUrl":"https://doi.org/10.37992/2024.1502.053","url":null,"abstract":"","PeriodicalId":11638,"journal":{"name":"ELECTRONIC JOURNAL OF PLANT BREEDING","volume":" 20","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141374535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mutation effectiveness and efficiency in kodo millet (Paspalum scrobiculatum L.)","authors":"","doi":"10.37992/2024.1502.052","DOIUrl":"https://doi.org/10.37992/2024.1502.052","url":null,"abstract":"","PeriodicalId":11638,"journal":{"name":"ELECTRONIC JOURNAL OF PLANT BREEDING","volume":" 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141371471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Association study of allelic variation identified at yield contributing loci in rice (Oryza sativa L.)","authors":"","doi":"10.37992/2024.1502.048","DOIUrl":"https://doi.org/10.37992/2024.1502.048","url":null,"abstract":"","PeriodicalId":11638,"journal":{"name":"ELECTRONIC JOURNAL OF PLANT BREEDING","volume":" 48","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141373498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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