Detalhes bibliográficos
| Ano de defesa: |
2020 |
| Autor(a) principal: |
VIEIRA, Letícia Ferreira
 |
| Orientador(a): |
BASTOS, Gerson Quirino |
| Banca de defesa: |
MENDONÇA JÚNIOR, Antônio Francisco de,
BARBOSA, José Nildo,
COSTA, Kleyton Danilo da Silva |
| Tipo de documento: |
Dissertação
|
| Tipo de acesso: |
Acesso aberto |
| Idioma: |
por |
| Instituição de defesa: |
Universidade Federal Rural de Pernambuco
|
| Programa de Pós-Graduação: |
Programa de Pós-Graduação em Melhoramento Genético de Plantas
|
| Departamento: |
Departamento de Agronomia
|
| País: |
Brasil
|
| Palavras-chave em Português: |
|
| Área do conhecimento CNPq: |
|
| Link de acesso: |
http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/9515
|
Resumo: |
This work used data from an experiment carried out with 80 sorghum sorghum genotypes for ethanol production in the Zona da Mata in Pernambuco, conducted in a randomized block scheme with 3 replications, in the municipality of Vitória de Santo Antão - PE, in agricultural year 2013. The objective of this work was to quantify the direct and indirect effects of technological variables (total dry matter production, stalk production, BRIX percentage at harvest and juice extraction efficiency) on ethanol production and quantify the direct and indirect effects exerted by agronomic variables (average plant height, flowering, total green matter production and percentage of stalk in the PMV) on stalk production per hectare, based on the analysis of trail. Prior to the analysis, a collinearity diagnostic test was performed, which indicated the presence of such an effect in both analyzes. In the analysis of ethanol production, an approach applied to circumvent this effect was to exclude a variable causing a high degree of multicollinearity (%MST). In the analysis performed with the agronomic variables, to circumvent the possible adverse effects caused by the presence of multicollinearity detected in the diagnostic test, a crest analysis was performed with addition of constant k = 0.09 in the X'X correlation matrix. The BRIX variable showed, respectively, the greatest total effect (0.8844) and the greatest direct effect (0.5969) on the theoretical production of ethanol, indicating great dependence on the main variable for the explanatory one. The greatest indirect effect was via PCL (0.2820). The four dependent variables as dependent on the total effect on PCL. The greatest direct effect (0.8010) was exerted by the PMV. |
