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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Influence of temperature, light and nutrients on the growth rates of the macroalga Gracilaria domingensis in synthetic seawater using experimental design

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Author(s):
Mendes, Luiz Fernando [1] ; Vale, Luiz A. S. [2] ; Martins, Aline Paternostro [1] ; Yokoya, Nair Sumie [3] ; Marinho-Soriano, Eliane [4] ; Colepicolo, Pio [1]
Total Authors: 6
Affiliation:
[1] Univ Sao Paulo, Inst Quim, Dept Bioquim, BR-05599970 Sao Paulo - Brazil
[2] Univ Sao Paulo, Inst Quim, Dept Quim Fundamental, BR-05599970 Sao Paulo - Brazil
[3] Nucleo Pesquisa Ficol, Inst Bot, Sao Paulo - Brazil
[4] Univ Fed Rio Grande do Norte, Dept Oceanog & Limnol, BR-59072970 Natal, RN - Brazil
Total Affiliations: 4
Document type: Journal article
Source: JOURNAL OF APPLIED PHYCOLOGY; v. 24, n. 6, p. 1419-1426, DEC 2012.
Web of Science Citations: 16
Abstract

In the present study, the daily relative growth rates (DRGR, in percent per day) of the red macroalga Gracilaria domingensis in synthetic seawater was investigated for the combined influence of five factors, i.e., light (L), temperature (T), nitrate (N), phosphate (P), and molybdate (M), using a statistical design method. The ranges of the experimental cultivation conditions were T, 18-26A degrees C; L, 74-162 mu mol photons m(-2) s(-1); N, 40-80 mu mol L-1; P, 8-16 mu mol L-1; and M, 1-5 nmol L-1. The optimal conditions, which resulted in a maximum growth rate of a parts per thousand yen6.4% d(-1) from 7 to 10 days of cultivation, were determined by analysis of variance (ANOVA) multivariate factorial analysis (with a 2(5) full factorial design) to be L, 74 mu mol photons m(-2) s(-1); T, 26A degrees C; N, 80 mu mol L-1; P, 8 mu mol L-1; and M, 1 nmol L-1. In additional, these growth rate values are close to the growth rate values in natural medium (von Stosch medium), i.e., 6.5-7.0% d(-1). The results analyzed by the ANOVA indicate that the factors N and T are highly significant linear terms, X (L), (alpha = 0.05). On the other hand, the only significant quadratic term (X (Q)) was that for L. Statistically significant interactions between two different factors were found between T vs. L and N vs. T. Finally, a two-way (linear/quadratic interaction) model provided a quite reasonable correlation between the experimental and predicted DRGR values (R (adjusted) (2) = 0.9540). (AU)