Biometric methods in studying the gene pool Indian pea

The article presents the results of using biometric methods for assessing gene pool (using example indian pea). variation traits model population pea, as well correlation coefficients and factor loadings on variables, is considered. includes 25 samples different ecological geographical origin. nursery was founded according to scheme a one-factor complex. Statistical indicators sample, signs were revealed: ˃20% - fat content in seeds, gather, fiber 10-20% height attachment lower bean, number twigs 1st order, beans per plant, seeds bean , seed yield, pod width, gather protein, ash, BEV unit area, ˂10% stem length, weight 1000 plant productivity, fiber, analysis experimental data, matrix calculated, including vegetative nutrients grain. In order optimize interpretation coefficients, performed method principal components. Signs that determine first, second third hypothetical factors (stem height, fat, BEV, hectare from one plant) 63,72% accumulated dispersion.