A Proposal of Oat Productivity Simulation by Meteorological Elements, Growth Regulator and Nitrogen
| Autor: | Emilio Ghisleni Arenhardt, Anderson Marolli, Roberto Carbonera, Ângela Teresinha Woschinski De Mamann, Rubia Diana Mantai, Ana P. B. Trautmann, Cleusa Adriane Menegassi Bianchi Krüger, Adriana Roselia Kraisig, Osmar Bruneslau Scremin, José Antonio Gonzalez da Silva |
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| Rok vydání: | 2017 |
| Předmět: |
Polynomial regression
Factorial Mathematical model Randomized block design Biomass 04 agricultural and veterinary sciences General Medicine Agricultural engineering 010501 environmental sciences 01 natural sciences Regression Agronomy Linear regression 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Productivity 0105 earth and related environmental sciences Mathematics |
| Zdroj: | American Journal of Plant Sciences. :2101-2118 |
| ISSN: | 2158-2750 2158-2742 |
| DOI: | 10.4236/ajps.2017.89141 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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