Exploring the potential of Near Infrared Hyperspectral Imaging and chemometrics to discriminate soil seed bank of two central African timber species: Erythrophleum suaveolens (Guill. & Perr.) Brenan and Erythrophleum ivorense A. Chev.

被引：0

作者：

Douh, Chauvelin ^{[1
,4
]}

Doucet, Jean-Louis ^{[1
]}

Tosso, Felicien ^{[1
]}

Dainou, Kasso ^{[5
,6
]}

Gorel, Anais-Pasiphae ^{[1
,2
]}

Deryck, Antoine ^{[3
]}

Pierna, Juan Antonio FERNaNDEZ ^{[3
]}

机构：

[1] Univ Liege, TERRA Teaching & Res Ctr Gembloux, Agrobio Tech, Forest Life, Passage Deportes 2, B-5030 Gembloux, Belgium

[2] Univ Ghent, Fac Biosci Engn, Dept Plants & Crops, Lab Plant Ecol, Ghent, Belgium

[3] Walloon Agr Res Ctr CRA W, Valorizat Agr Prod Dept, Chaussee Namur N 24, B-5030 Gembloux, Belgium

[4] Univ Marien Ngouabi, Ecole Natl Super Agron & Foresterie ENSAF, Lab Geomatique & Ecol Tropicale Appl, BP 69, Brazzaville, Rep Congo

[5] Univ Natl Agr, BP 43, Ketou, Benin

[6] Univ Liege, Nat Asbl TERRA Res Ctr, Cent African Forests, Gembloux Agrobio Tech, Passage Deportes 2, B-5030 Gembloux, Belgium

来源：

BOIS ET FORETS DES TROPIQUES | 2024年 / 360期

关键词：

soil seed bank; timber species; near-infrared hyperspectral imaging; chemometrics; identification; discrimination; REFLECTANCE SPECTROSCOPY; FORESTS; TREE; CLASSIFICATION; IDENTIFICATION; QUALITY; PROTEIN; SYSTEM;

D O I：

10.19182/bft2024.360.a37138

中图分类号：

S7 [林业];

学科分类号：

0829 ; 0907 ;

摘要：

Seeds contained in the soil bank can be too small to quantify visually. Concerned timber species are usually identified after germination trials in the nursery, which is timeconsuming. This study explores a new approach based on near infrared (NIR-HSI) hyperspectral imaging coupled with chemometric tools. It focuses on the soil seed bank of the central African moist forests, which is still unknown. We used eighty-three seeds of two sister species, Erythrophleum suaveolens (Guill. & Perr.) Brenan and Erythrophleum ivorense A. Chev., collected in the forest soil (between 0 and 10 cm in depth), in Gabon, Cameroon, and Congo. Applying principal component analysis and partial least squares discriminant analysis, we studied the capacity of near-infrared hyperspectral imaging to identify the seeds of the two timber species. This method is fast, non-destructive, and offers new prospects for studies of forest soil seed banks.

引用

页码：77 / 86

页数：10