Multivariate analysis of resistance components of the saccharin and biomass sorghum to Ramulispora sorghi
Autor: | Valvenarg Pereira da Silva, C. L. Corrêa, K. L. Araújo, Marco Antonio Aparecido Barelli, Flávio Dessaune Tardin, Bruno Wagner Zago, Raiane Scandiane da Silva, Mirian da Silva Almici, Luciano Viana Cota, A. V. M. Duarte, M. A. S. Castrillon, D. D. da Silva, T. P. S. Vendruscolo |
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Přispěvatelé: | Universidade do Estado de Mato Grosso, DAGMA DIONISIA DA SILVA, CNPMS, LUCIANO VIANA COTA, CNPMS, FLAVIO DESSAUNE TARDIN, CNPMS. |
Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
0106 biological sciences
Sorghum Bicolor Veterinary medicine Multivariate analysis Ramulispora spot lcsh:A Biology 01 natural sciences Incubation period symbols.namesake Completely randomized design Ramulispora sorghi Mahalanobis distance genetic resistance sorghum bicolor (l.) moench UPGMA 04 agricultural and veterinary sciences ramulispora spot Resistência Genética biology.organism_classification Pearson product-moment correlation coefficient 040103 agronomy & agriculture symbols 0401 agriculture forestry and fisheries Analysis of variance lcsh:General Works 010606 plant biology & botany |
Zdroj: | Scientific Electronic Archives, Vol 13, Iss 5, Pp 39-45 (2020) Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA-Alice) Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
ISSN: | 2316-9281 |
Popis: | The objective of this work was to evaluate the reaction of biomass and saccharin sorghum genotypes to a isolate of the Ramulispora sorghi. The experiment was conducted in a completely randomized design with three replications in a greenhouse. The variables analyzed were: area below the disease curve progress; lesion length (LL), lesions width (LW); normalized area below the curve of the lesion area expansion; incubation period and latency period. Data were submitted to analysis of variance, Pearson correlation and multivariate analysis based on Mahalanobis distance, using the Tocher and UPGMA clustering method. Significant differences were observed in the level of (p |
Databáze: | OpenAIRE |
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