Application of near-infrared spectroscopy for fast germplasm analysis and classification in multi-environment using intact-seed peanut(Arachis hypogaea L.)  

作　　者：Fentanesh Chekole Kassie Gilles Chaix Hermine Bille Ngalle Maguette Seye Coura Fall Hodo-Abalo Tossim Aissatou Sambou Olivier Gibert Fabrice Davrieux Joseph Martin Bell Jean-Francois Rami Daniel Fonceka Joel Romaric Nguepjop 

机构地区：[1]Department of Plant Biology and Physiology,Faculty of Sciences,University of Yaounde I,Yaounde,P.O.Box 337,Cameroon [2]Department of Plant Science,College of Agriculture,Wolaita Sodo University,Sodo,P.O.Box 138,Ethiopia [3]CIRAD,UMR AGAP Institut,Montpellier,France [4]AGAP Institut,Univ Montpellier,CIRAD,INRAE,Institut Agro,Montpellier,France [5]ChemHouse Research Group,Montpellier,France [6]Centre D’Etudes Regional Pour L’Amelioration de L’Adaptation a La Secheresse(CERAAS/ISRA),Route de Khombole,Thies,BP 3320,Senegal [7]Dispositif de Recherche et de Formation en Partenariat,Innovation et Amelioration Varietale en Afrique de L’Ouest(IAVAO),CERAAS,Route de Khombole,Thies,BP 3320,Senegal [8]CIRAD,UMR QUALISUD,Saint Pierre,France

出　　处：《Oil Crop Science》2024年第2期132-141,共10页中国油料作物学报(英文版）

基　　金：supported by the GENES intra-Africa Academic Mobility scheme of the European Union(EU-GENES:EACEA/2917/2552);the DESIRA-ABEE project funded by European Union。

摘　　要：Peanut is a worldwide oilseed crop and the need to assess germplasm in a non-destructive manner is important for seed nutritional breeding.In this study,Near Infrared Spectroscopy(NIRS)was applied to rapidly assess germplasm variability from whole seed of 699 samples,field-collected and assembled in four genetic and environmentbased sets:one set of 300 varieties of a core-collection and three sets of 133 genotypes of an interspecific population,evaluated in three environments in a large spatial scale of two countries,Mbalmayo and Bafia in Cameroon and Nioro in Senegal,under rainfed conditions.NIR elemental spectra were gathered on six subsets of seeds of each sample,after three rotation scans,with a spectral resolution of 16 cm-1over the spectral range of867 nm to 2530 nm.Spectra were then processed by principal component analysis(PCA)coupled with Partial least squares-discriminant analysis(PLS-DA).As results,a huge variability was found between varieties and genotypes for all NIR wavelength within and between environments.The magnitude of genetic variation was particularly observed at 11 relevant wavelengths such as 1723 nm,usually related to oil content and fatty acid composition.PCA yielded the most chemical attributes in three significant PCs(i.e.,eigenvalues>10),which together captured 93%of the total variation,revealing genetic and environment structure of varieties and genotypes into four clusters,corresponding to the four samples sets.The pattern of genetic variability of the interspecific population covers,remarkably half of spectrum of the core-collection,turning out to be the largest.Interestingly,a PLS-DA model was developed and a strong accuracy of 99.6%was achieved for the four sets,aiming to classify each seed sample according to environment origin.The confusion matrix achieved for the two sets of Bafia and Nioro showed 100%of instances classified correctly with 100%at both sensitivity and specificity,confirming that their seed quality was different from each other and all other samples.Overall,NIR

关 键 词：GROUNDNUT OILSEED Near infrared spectroscopy Germplasm analysis ENVIRONMENT NUTRITIONAL Breeding 

分 类 号：S565.2[农业科学—作物学]