No abstract

<br /><table class="data" width="100%"><tbody><tr valign="top"><td class="value">The aim of this work was to evaluate the development of corn genotypes under the effect of inoculation with <em>Azospirillum brasilense</em> in association with nitrogen fertilization. The experimental design was completely randomized in a factorial design (5x2x2) with three replications. Five corn hybrids were used, combined with two doses of nitrogen (N) (without N and with 100 kg ha<span>-1</span> N) and with two inoculation levels of <em>A.brasilense</em> (without and with inoculation). Plant stature and stem diameter at stadiums V8 and R1, leaf chlorophyll content at stadium R1 and dry mass at stadium R2 were evaluated. It was observed that when there was variation in the evaluated parameters, this was due to the different genetic materials and mainly due to the application of N. Inoculation with <em>A.brasilense</em> was not effective in altering the corn development.</td></tr></tbody></table>

Nitrogen fertilization is essential for wheat yield and quality but needs more accuracy, and the use of proximal optical sensors in the field can assist in this goal. This study aimed to verify if it is possible to use the normalized difference vegetation index (NDVI) obtained throughout the wheat growth phase to estimate the grain yield and the technological quality of the flour from cultivars submitted to nitrogen doses. The experiment was conducted at field conditions in Ponta Grossa, PR, Southern Brazil. The experimental design was randomized blocks in a 4 × 6 factorial scheme with four replicates. The cultivars Quartzo, Gralha Azul, Sinuelo, and Toruk, combined with six doses of N (0, 40, 80, 120, 160, and 200 kg ha-1 of N), were evaluated. The NDVI values were sensitive to both nitrogen doses and the different cultivars. There was a relationship between NDVI and grain yield, protein, and gluten concentration of flour. The NDVI estimated the gluten strength, stability, tenacity, extensibility of the mass, and tenacity/extensibility ratio of the flour obtained at the beginning of the cycle, but not for all cultivars. The determinations of NDVI with active optical sensor GreenSeeker in wheat are efficient to estimate the grain yield and the flour quality under field conditions, allowing to generate models for estimation of these variables separately for each cultivar.