Author(s)

Anderson Marolli^1*, José Antonio Gonzalez da Silva², Osmar Bruneslau Scremin¹, Rúbia Diana Mantai¹, Ana Paula Brezolin Trautmann¹, Ângela Teresinha Woschinski de Mamann¹, Roberto Carbonera², Adriana Roselia Kraisig¹, Cleusa Adriane Menegassi Bianchi Krüger², Emilio Ghisleni Arenhardt³

¹Department of Exact Sciences and Engineering, Regional University of the Northwestern of Rio Grande do Sul State (UNIJUí), Ijui, Brazil.
²Department of Agrarian Studies, Regional University of the Northwestern of Rio Grande do Sul State (UNIJUí), Ijui, Brazil.
³Department of Crop Plants, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.

The simulation of oat grain productivity does not contemplate the use of efficient models that involve important management with meteorological elements. The objective of the study is to propose a mathematical model capable of simulating the oat grain productivity through the management of nitrogen and growth regulator with variables related to the plant and to meteorological elements. In this study, two experiments were conducted in the years of 2013, 2014 and 2015: one to quantify biomass productivity and another to determine grain productivity and lodging at the management doses of nitrogen and growth regulator. The experimental design was a randomized block with four replications in a 4 × 3 factorial scheme for 0, 200, 400 and 600 mL·ha^-1 growth regulator doses and 30, 90 and 150 kg·ha^-1 nitrogen doses, respectively. During the crop cycles, the meteorological variables thermal sum, radiation and rainfall were quantified. The mathematical model proposed, which combines polynomial regression of the harvest index with multiple linear regression of the biological productivity, is efficient in the simulation of oat grains productivity with the use of growth regulator, nitrogen and meteorological elements. Thus, it adds to the conventional models of simulation and becomes an aid tool for making decisions regarding the management of oats culture.

Avena sativa, Biomass, Lodging, Trinexapac-Ethyl, Regression

Marolli, A. , da Silva, J. , Scremin, O. , Mantai, R. , Trautmann, A. , de Mamann, Â. , Carbonera, R. , Kraisig, A. , Krüger, C. and Arenhardt, E. (2017) A Proposal of Oat Productivity Simulation by Meteorological Elements, Growth Regulator and Nitrogen. American Journal of Plant Sciences, 8, 2101-2118. doi: 10.4236/ajps.2017.89141.