Índices fotogramétricos de vegetação e rendimento do milho cultivados sob doses de boestimulantes vegetais
Ano de defesa: | 2022 |
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Autor(a) principal: | |
Orientador(a): | |
Banca de defesa: | |
Tipo de documento: | Tese |
Tipo de acesso: | Acesso aberto |
Idioma: | por |
Instituição de defesa: |
Universidade Federal da Paraíba
Brasil Fitotecnia e Ciências Ambientais Programa de Pós-Graduação em Agronomia UFPB |
Programa de Pós-Graduação: |
Não Informado pela instituição
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Departamento: |
Não Informado pela instituição
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País: |
Não Informado pela instituição
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Palavras-chave em Português: | |
Link de acesso: | https://repositorio.ufpb.br/jspui/handle/123456789/29651 |
Resumo: | Corn (Zea mays L.) is a plant, C4, belonging to the Poaceae family that has great socioeconomic importance worldwide, with Brazil being the third largest producer and the second largest exporter of this crop. In low-income regions, maize represents an important factor in human nutrition, both in natura and for its derivatives, as well as for animal feed. To increase production, without the need to deforest large areas, it is possible to use technologies for this purpose. Among these technologies, one can use biostimulants based on natural products that do not harm the environment or the health of farmers and animals. In this sense, seeking to have control and efficiency of cultivation in the regions of Brejo do Brasil, the use of evaluations such as crop yield variables and data from remote sensing with the aid of the geographic information system (GIS) are being widely used and studied for different cultures. The general objective of the present research was to find the best plant index, the best product, doses and phase according to the studied variables, both plant indices and corn crop yield. The design used was a randomized block (DBC) with four replications, in a factorial scheme (3x4x3)+1, with three products, four levels and three phenological stages plus the control (level 0). The plant indices Normalized gree-Red Difference index, Excess Green Index, Sil Asjust Vegetation Index, Triangular Greenness Index, Ground Level Image Analysis, Redness Index and productivity were evaluated in the first chapter. In the second chapter, ear length and diameter, number of rows per ear, number of grains per row and ear, mass of one thousand grains and productivity were evaluated. The SAVI Index was the most adequate when evaluating productivity. The data were subjected to analysis of variance (ANOVA) using the F test, and then the average values of Products and Phases (Phenological stages) were compared using the Tukey test (p ≤ 0.05) and the dose data were performed at regression analyses. In the first article the results were: EP and PH products were the best products for both experiments. The best phenological stage, in general, was V8 and the most appropriate level for most of the studied variables was the maximum level. In the second article the results were: The EP and PH products obtained the best results for the two experiments studied. The seed and V8 phenological stages achieved the best results for both experiments. For the productivity variable, the best result was found at the maximum level in phase V8 with an increase of 64.9% when compared to level 0. |