TITLE:
A Proposal of Oat Productivity Simulation by Meteorological Elements, Growth Regulator and Nitrogen
AUTHORS:
Anderson Marolli, José Antonio Gonzalez da Silva, Osmar Bruneslau Scremin, Rúbia Diana Mantai, Ana Paula Brezolin Trautmann, Ângela Teresinha Woschinski de Mamann, Roberto Carbonera, Adriana Roselia Kraisig, Cleusa Adriane Menegassi Bianchi Krüger, Emilio Ghisleni Arenhardt
KEYWORDS:
Avena sativa, Biomass, Lodging, Trinexapac-Ethyl, Regression
JOURNAL NAME:
American Journal of Plant Sciences,
Vol.8 No.9,
August
8,
2017
ABSTRACT: 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.