Simulation of oat grain (Avena sativa) using its panicle components and nitrogen fertilizer
Autor: | Antonio Carlos Valdiero, Rafael Z. Frantz, Angela Teresinha Woschinski de Mamann, Rafael Pretto, Osmar Bruneslau Scremin, Dionatan Ketzer Krysczun, José Antonio Gonzalez da Silva, Rubia Diana Mantai, Emilio Ghisleni Arenhardt |
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Rok vydání: | 2016 |
Předmět: |
0106 biological sciences
food.ingredient Randomized block design 04 agricultural and veterinary sciences Factorial experiment Biology 01 natural sciences Avena food Nitrogen fertilizer Agronomy Inflorescence Linear regression 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Cultivar General Agricultural and Biological Sciences 010606 plant biology & botany Panicle |
Zdroj: | African Journal of Agricultural Research. 11:3975-3983 |
ISSN: | 1991-637X |
DOI: | 10.5897/ajar2016.10943 |
Popis: | Nitrogen fertilizer management modifies oat (Avena sativa) panicle components and its grain yield. The work aims to study the potential of the variables of oat (A. sativa) panicle with N-fertilizer, and to simulatate its grain yield using multiple linear regression in succession systems of high and reduced N-residual release. The study was done in 2013 and 2014. The experiment was done in a complete randomized block of 4×2 factorial design, with four replications. The treatments include: nitrogen fertilizer of four doses (0, 30, 60 and 120 kg ha-1), oat (A. sativa) cultivars at two levels (Barbarasul and Brisasul) and succession system at two levels (soybean/oat (A. sativa) and corn/oat (A. sativa). The multiple linear models were efficient in the harvest index of panicle of soybean/oat (A. sativa) system, regardless of the dose evaluated. However, at high doses, the number of grain per panicle was included. In the corn/oat (Avena sativa) system, the harvest index of panicle, the number of grains and spikelets panicle were adjusted based on the model. The multiple linear regression efficiently simulates N-fertilizer to affect the grain yield of oat (Avena sativa) and one or more potential variables of panicle in the succession systems. Key words: Inflorescence, succession system, stepwise, multiple linear regression. |
Databáze: | OpenAIRE |
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