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| Ribeiro, João Everthon da Silva; Leite, Arliston Pereira; Nóbrega, Jackson Silva; Alves, Edna Ursulino; Bruno, Riselane de Lucena Alcântara; Albuquerque, Manoel Bandeira de. |
| Erythroxylum pauferrense is an endemic understory plant species of the Northeast Region of Brazil. The species is of great importance to the region and so ecophysiological studies are needed for its preservation. The objective of the present study was to determine the best substrates and temperatures for testing germination and seed vigor of E. pauferrense. An experiment was performed comprising a completely randomized design in a 5 x 4 factorial scheme, with five temperature regimes (20, 25, 30, 35°C constant and 20-30°C alternating) and four types of substrates (paper, vermiculite, sand and commercial substrate). The following characteristics were evaluated: germination percentage, first germination count, germination speed index, mean germination time,... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Guarda-orvalho; Erythroxylaceae; Forest seeds; Ecophysiology; Seedlings; Atlantic forest.. |
| Ano: 2019 |
URL: http://periodicos.uem.br/ojs/index.php/ActaSciBiolSci/article/view/46030 |
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| Ribeiro, João Everthon da Silva; Coêlho, Ester dos Santos; Figueiredo, Francisco Romário Andrade; Pereira, Walter Esfrain; Albuquerque, Manoel Bandeira de. |
| Determining leaf area is important for studies involving plant growth and development. The aim of the present study was to obtain models for estimating leaf area of Psychotria carthagenensis and Psychotria hoffmannseggiana using linear measurements of leaf blades (length and width). Two hundred leaf blades of each species were collected in Parque Estadual Mata do Pau-Ferro in the municipality of Areia, Paraíba, Northeast Brazil. The equations evaluated for producing potential models included the following: linear, quadratic, potential and exponential. The criteria used to determine the best model(s) were as follows: high coefficient of determination (R²), low root-mean-square error (RMSE), low Akaike information criterion (AIC), high Willmott concordance... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Biologia biometry; Non-destructive method; Modeling; Rubiaceae. Ecologia. |
| Ano: 2019 |
URL: http://periodicos.uem.br/ojs/index.php/ActaSciBiolSci/article/view/43494 |
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