Characterization of Mineral Composition and Nutritional Value of Acacia Green Pods

Author:

Pedro Soraia I.12ORCID,Antunes Carlos A. L.3,Horta Carmo4ORCID,Pitacas Inês4ORCID,Gonçalves Joana56,Gominho Jorge2ORCID,Gallardo Eugenia56ORCID,Anjos Ofélia124ORCID

Affiliation:

1. Centro de Biotecnologia de Plantas da Beira Interior (CBPBI), 6000-098 Castelo Branco, Portugal

2. Centro de Estudos Florestais (CEF), Laboratório Associado TERRA, Instituto Superior de Agronomia, Universidade de Lisboa, 1349-017 Lisboa, Portugal

3. Instituto Politécnico de Castelo Branco (IPCB), 6000-084 Castelo Branco, Portugal

4. CERNAS-IPCB Research Centre for Natural Resources, Environment and Society, Instituto Politécnico de Castelo Branco, 6000-084 Castelo Branco, Portugal

5. Centro de Investigação em Ciências da Saúde (CICS-UBI), Universidade da Beira Interior, 6200-506 Covilhã, Portugal

6. Laboratório de Fármaco-Toxicologia—UBIMedical, Universidade da Beira Interior, 6200-506 Covilhã, Portugal

Abstract

The Acacia genus is considered one of the most invasive taxa in some habitats, namely coastal dunes, maritime calcareous soils, fresh lands in the valleys, mountainous areas, and the banks of watercourses and roadsides. In Portugal, the severity risk is very high, so this study aimed to evaluate the nutritional and mineral contents of the green pods as a potential source for livestock feeds and soil fertilizer because, as far as we know, there is no use for this species. The seven different species of Acacia (Acacia mearnsii Link, Acacia longifolia (Andrews) Willd, Acacia melanoxylon R. Br., Acacia pycnantha Bentham, Acacia dealbata Link., Acacia retinodes Schlecht, and Acacia cyclops A. Cunn. ex G. Don fil) were evaluated. The results showed that Acacia green pods have a high protein, fibre and minerals content, especially in potassium (K), calcium (Ca) and magnesium (Mg). All species present a different profile of the studied parameters, suggesting different potentials for their future use. Near-infrared spectroscopy was a potential tool to predict the earlier quality of the Acacia green pods to better select the raw material for the different applications.

Funder

project Acacia4fireprev

Publisher

MDPI AG

Subject

Plant Science,Ecology,Ecology, Evolution, Behavior and Systematics

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