Consulta: creatorFacets:"Carbonera,Roberto"
Registros recuperados: 2
Data/hora: 13/06/2024 04:28:05

Growth regulator on oat yield indicators
Provedor de dados: 91
Autores: Krysczun,Dionatan K.; Silva,José A. G. da; Marolli,Anderson; Trautmann,Ana P. B.; Lucio,Alessandro D.; Carbonera,Roberto.
ABSTRACT Growth regulator in oat can reduce lodging with effects on yield indicators. The objective of the study is to define the optimum dose of growth regulator to reduce lodging in oats under different conditions of nitrogen (N) fertilization (reduced, high and very high) and the effects on yield indicators in the succession systems. In each succession system (soybean/oats and corn/oats), two experiments were conducted, one to quantify biomass yield and the other to estimate grain yield and lodging. In the four experiments, the design was randomized blocks with four replicates in 3 x 4 factorial scheme, for N-fertilizer doses (30, 90 and 150 kg ha-1) and growth regulator doses (0, 200, 400 and 600 mL ha-1), respectively. Growth regulator reduces lodging...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Avena sativa; Trinexapac-ethyl; Lodging; Nitrogen.
Ano: 2017
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662017001200828

Artificial intelligence in seeding density optimization and yield simulation for oat
Provedor de dados: 91
Autores: Dornelles,Eldair F.; Kraisig,Adriana R.; Silva,José A. G. da; Sawicki,Sandro; Roos-Frantz,Fabricia; Carbonera,Roberto.
ABSTRACT Artificial intelligence may represent an efficient strategy for simulation and optimization of important processes in agriculture. The main goal of the study is to propose the use of artificial intelligence, namely artificial neural networks and genetic algorithms, respectively, in the simulation of oat grain yield and optimization of seeding density, considering the main succession systems of southern Brazil. The study was conducted in a randomized complete block design with four replicates, following a 4 x 2 factorial scheme, for seeding densities (100, 300, 600 and 900 seeds m-2) and oat cultivars (Brisasul and URS Taura), in succession systems of corn/oats and soybean/oats. A multi-layered artificial neural network and a genetic algorithm were...
Tipo: Info:eu-repo/semantics/article
Palavras-chave: Avena sativa; Artificial neural networks; Genetic algorithms; Innovation.
Ano: 2018
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662018000300183