Autor: |
Silva AVD; Universidade Federal da Paraíba - UFPB, Centro de Ciências Agrárias - CCA, Campus Areia, Areia, PB, Brasil., Silva CMD; Universidade Federal de Viçosa - UFV, Campus Viçosa, Viçosa, MG, Brasil., Azevedo MC; Universidade Federal da Paraíba - UFPB, Centro de Ciências Agrárias - CCA, Campus Areia, Areia, PB, Brasil., Silva JHBD; Universidade Federal da Paraíba - UFPB, Centro de Ciências Agrárias - CCA, Campus Areia, Areia, PB, Brasil., Nóbrega JS; Universidade Federal de Campina Grande - UFCG, Unidade Acadêmica de Engenharia Agrícola - UAEA, Campus Campina Grande, Campina Grande, PB, Brasil., Fátima RT; Universidade Federal de Campina Grande - UFCG, Unidade Acadêmica de Engenharia Agrícola - UAEA, Campus Campina Grande, Campina Grande, PB, Brasil., Ferreira JTA; Universidade Federal de Campina Grande - UFCG, Unidade Acadêmica de Engenharia Agrícola - UAEA, Campus Campina Grande, Campina Grande, PB, Brasil., Pereira WE; Universidade Federal da Paraíba - UFPB, Centro de Ciências Agrárias - CCA, Campus Areia, Areia, PB, Brasil., Mielezrski F; Universidade Federal da Paraíba - UFPB, Centro de Ciências Agrárias - CCA, Campus Areia, Areia, PB, Brasil. |
Abstrakt: |
The extracts of medicinal plants are used for the treatment of seeds in order to reduce the action of phytopathogens and increase the vigor of the seeds. Currently, computerized image analysis has been used to assess the physiological quality of seed lots. The objective was to evaluate the efficiency of the Vigor-S® software in the evaluation of the physiological quality of cowpea seeds treated with essential oils, comparing with a traditional test and the principal component analysis. Two cowpea cultivars were analyzed, BRS Tumucumaque and BRS Guariba, treated with doses of natural extracts of Alfavaca, garlic, horsetail, citronella and pyroligneous acid. The traditional method consisted of evaluations for germination, first germination count, seedling emergence, emergence speed index, accelerated aging, fresh matter and dry matter of seedling and the image analysis for: seedling length, growth index, uniformity index, vigor index, and germination. A Principal component analysis was applied to reduce the number of variables. Horsetail, Alfavaca and citronella extracts were efficient in increasing the physiological quality of the seeds of at least one cultivar. The Vigor-S® software proved to be efficient compared to traditional tests to assess the physiological quality of seeds. Principal Component Analysis is an ally to identify the best extracts and doses to be used. The image analysis method proved to be effective when compared to the traditional method and can therefore be used. |