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 ge...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展开更多
The aim of this study was to evaluate the degree of relationship and association amongst morphological characters of groundnut as an important food crop in Nigeria. 118 cultivars were planted in a completely randomize...The aim of this study was to evaluate the degree of relationship and association amongst morphological characters of groundnut as an important food crop in Nigeria. 118 cultivars were planted in a completely randomized design structure. Characterization was based on qualitative and quantitative evaluations of 62 characters. Data were analysed on the SPSS software (20.0 versions). Correlation tools were applied using Spearman, Kendall and Pearson methods. Level of relationship was determined based on the strength of coefficients R. Dependence among traits was tested using the Chi square. Multiple regression analysis was carried out in a predictive model. As a result, many of the traits are very weakly correlated. Day to emergence has no effect on Day to 50% flowering (R = 0.237, p < 0.05) and number of flower (R = 0.221, p < 0.05). Day to first flowering weakly correlates with maturity time of the plant (R = 0.39, p < 0.01) but no effect on the yield. Also, number of flower correlates moderately with number of pods (R = 0.535, p < 0.01) and seeds (R = 0.409, p Plant height also moderately affects leaflet sizes (R = 0.354, p < 0.01) with a low R2 of 13%. Plant biomass moderately affects number of pod (R = 0.494, p < 0.01), pod length (R = 0.395, p < 0.01), pod width (R = 0.473, p < 0.05), number of seed (R = 0.468, p < 0.01) and seed weight (R = 0.548, p < 0.01). Most of the high positive correlations recorded (R > 0.6, p < 0.9) were observed amongst pod and seed parameters. Pod sizes significantly affect the number of seeds present (R = 0.551, p 2 of 30%. Qualitative traits have no effect on each other as all coefficients are very low. Pod constriction and sizes have no relationship (R = -0.029). Tolerance to diseases is not affected by any qualitative trait. Also, no trait determines seed colour. Pubescence of young and mature leaflets recorded the only high positive correlation among all qualitative traits (R = 0.837, p = 0.01). However, leaf and stem pubescence have no relationship. The following traits signifi展开更多
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。
文摘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
文摘The aim of this study was to evaluate the degree of relationship and association amongst morphological characters of groundnut as an important food crop in Nigeria. 118 cultivars were planted in a completely randomized design structure. Characterization was based on qualitative and quantitative evaluations of 62 characters. Data were analysed on the SPSS software (20.0 versions). Correlation tools were applied using Spearman, Kendall and Pearson methods. Level of relationship was determined based on the strength of coefficients R. Dependence among traits was tested using the Chi square. Multiple regression analysis was carried out in a predictive model. As a result, many of the traits are very weakly correlated. Day to emergence has no effect on Day to 50% flowering (R = 0.237, p < 0.05) and number of flower (R = 0.221, p < 0.05). Day to first flowering weakly correlates with maturity time of the plant (R = 0.39, p < 0.01) but no effect on the yield. Also, number of flower correlates moderately with number of pods (R = 0.535, p < 0.01) and seeds (R = 0.409, p Plant height also moderately affects leaflet sizes (R = 0.354, p < 0.01) with a low R2 of 13%. Plant biomass moderately affects number of pod (R = 0.494, p < 0.01), pod length (R = 0.395, p < 0.01), pod width (R = 0.473, p < 0.05), number of seed (R = 0.468, p < 0.01) and seed weight (R = 0.548, p < 0.01). Most of the high positive correlations recorded (R > 0.6, p < 0.9) were observed amongst pod and seed parameters. Pod sizes significantly affect the number of seeds present (R = 0.551, p 2 of 30%. Qualitative traits have no effect on each other as all coefficients are very low. Pod constriction and sizes have no relationship (R = -0.029). Tolerance to diseases is not affected by any qualitative trait. Also, no trait determines seed colour. Pubescence of young and mature leaflets recorded the only high positive correlation among all qualitative traits (R = 0.837, p = 0.01). However, leaf and stem pubescence have no relationship. The following traits signifi
