Integrative Biology Journals

JOURNAL OF FORESTRY RESEARCH ›› 2023, Vol. 34 ›› Issue (5): 1289-1305.DOI: 10.1007/s11676-023-01611-8

• Original Paper • Previous Articles     Next Articles

Ecophysiology and multivariate analysis for production of Tachigali vulgaris in Brazil: Influence of rainfall seasonality and fertilization

Pedro Henrique Oliveira Simões1,a, Cândido Ferreira de Oliveira Neto2, Manoel Tavares de Paula3, Dênmora Gomes de Araújo2, Rodrigo Silva do Vale2, João Olegário Pereira de Carvalho4   

  1. 1 Universidade Federal de Mato Grosso, Campus Universitário de Sinop, 78550728, Sinop, Mato Grosso, Brazil
    2 Universidade Federal Rural da Amazônia, Campus Belém, 66077830, Belém, Pará, Brazil
    3 Universidade do Estado do Pará, Centro de Ciências Naturais e Tecnologia, 66095015, Belém, Pará, Brazil
    4 Universidade Federal Rural da Amazônia, Campus Capitão-Poço, 68650000, Capitão Poço, Pará, Brazil
  • Received:2022-03-28 Accepted:2022-12-11 Online:2024-10-16
  • Contact: Pedro Henrique Oliveira Sim?es

Abstract:

Studies on fertilization management of species native to the Amazon for energy plantations contribute to the diversity of species use and reduce biological risk due to the excessive use of clones or hybrids of Eucalyptus. This study evaluates the effect of precipitation seasonality and phosphorus and potassium fertilization on gas exchange in a Tachigali vulgaris plantation. Three levels of P (zero, 65.2, 130.4 kg ha−1) and three of K (zero, 100.0, 200.0 kg ha−1) were applied in a 3 × 3 factorial randomized block design. Gas exchange measurements were conducted in April and November 2018. In low rainfall, high irradiance period, photosynthetic rates were up to four times higher than in the high rainfall period, reaching 20.3 μmol m−2 s−1 in the treatment with 130.4 g kg−1 of P and 100.0 g kg−1 of K. Factor analysis and principal component analysis reduced the initial eight gas exchange variables to two and three principal components in periods of high and low rainfall, respectively. The multivariate method used in this study readily identified variations in the variables as a function of rainfall, with high reliability in explaining the data set.

Key words: Photosynthesis rate, Stomatal conductance, Principal component analysis, Factor analysis, Tachigali vulgaris