EFFECT OF Rhizobium INOCULATION OF SEEDS AND FOLIAR FERTILIZATION ON PRODUCTIVITY OF Pisum sativum L.

Pea (Pisum sativum L.) is the second most important grain legume crop in the world which has a wide array of uses for human food and fodder. One of the major factors that de-termines the use of field pea is the yield potential of cultivars. Presently, pre-sowing inoculation of pea seeds and foliar ap-plication of microelement fertilizers are prospective solutions and may be reasonable agrotechnical options. This research was undertaken because of the potentially high productivity of the ‘afila ’ morphotype in good wheat complex soils. The aim of the study was to determine the effect of vaccination with Rhizobium and foliar micronutrient fertilization on yield of the afila pea variety. The research was based on a two--year (2009–2010) controlled field experiment, conducted in four replicates and carried out on the experimental field of the Bayer company located in Modzurów, Silesian region. expe-rimental field soil was Umbrisol – slightly degraded cherno-zem, formed from loess. Nitragina inoculant, as a source of symbiotic bacteria, was applied before sowing seeds. Green area index (GAI) of the canopy, photosynthetically active ra-diation (PAR), and normalized difference vegetation index (NDVI) were determined at characteristic growth stages. The presented results of this study on symbiotic nitrogen fixation by leguminous plants show that the combined application of Nitragina and Photrel was the best combination for productivi-ty. Remote measurements of the pea canopy indexes indicated the formation of the optimum leaf area which effectively used photosynthetically active radiation. The use of Nitragina as a donor of effective Rhizobium for pea plants resulted in sligh-tly higher GAI values and the optimization of PAR and NDVI. It is not recommended to use foliar fertilizers or Nitragina se-parately due to the slowing of pea productivity. Key words: Pisum sativum L., inoculation, foliar fertilization, plant growth indices, traits, yiel