Zinco Na Nutrição Mineral De Feijão- Caupi

Lima, Silvia Kalini dos Santos de; Silva, Alasse Oliveira da; Nascimento, Layana Gomes do; Conceição, Elaine Cristina da Silva; Sousa, Liliane Marques de; Viégas, Ismael de Jesus Matos; Gomes, Jhonatah Albuquerque

doi:10.46898/rfb.9786558892366.4

Cited by 1 publication

(1 citation statement)

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“…Unlike what happens with the presence of pests in seeds and crops, which can be solved by observing the egg-laying and insects present before the economic losses, the diseases in cowpea, when present, already represent partial or total loss in production and often when it is noticed it is already too late for control. Thus, knowing the diseases of the crop before its appearance, and applying preventive measures for such diseases minimize the possible losses from the attack of these pathogens (Lima, 2017).…”

Section: Introductionmentioning

confidence: 99%

Influence of essential oils on the quality of Vigna unguiculata L. (Walp.) seeds compared by traditional method, image and multivariate analysis

Silva

Azevedo

et al. 2023

Braz. J. Biol.

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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.

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Section: Introductionmentioning

confidence: 99%