Banca de QUALIFICAÇÃO: LIZANDRA PAESANO LARA

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
DISCENTE : LIZANDRA PAESANO LARA
DATA : 22/11/2021
HORA: 08:00
LOCAL: Videoconferência
TÍTULO:

AGRONOMIC EVALUATION OF SORGHUM BIOMASS IN DIFFERENT ENVIRONMENTS IN MATO GROSSO

PALAVRAS-CHAVES:

SORGHUM BIOMASS; AGRONOMIC EVALUATION;

PÁGINAS: 18
GRANDE ÁREA: Ciências Agrárias
ÁREA: Agronomia
RESUMO:

Acting as a substitute for combustion in boilers, biomass sorghum gained space in recent years, due to 

formidable characteristics of energy co-generation. In view of this, researches aimed at raising the productive 

potential are prioritized, however studies of genotype x environment interaction (G x A) have equal importance, 

since this is one of the biggest problems encountered in genetic improvement. Thus, this project aims identify 

and recommend sorghum biomass genotypes in different environments of the State of Mato Grosso, based on 

morphoagronomic characteristics related to energy generation. The project will be executed, primarily, in the 

cities of Cáceres, Nova Xavantina and Sinop. With a randomized block design, with three replications, in a 25 x 3 

factorial scheme, consisting of 25 sorghum biomass genotypes in 3 environments. The experimental plots will 

consist of 4 rows of five meters, spaced 0.70m apart. The evaluations will consist of in the two central rows of 

each plot and the characteristics evaluated will be: initial "Stand" and Final; flowering; plant height; bedded 

plants; number of plants harvested; production total green mass, total panicle production; and percentage of 

dry material. All data obtained will be subjected to analysis of variance, testing its significance by the F test, 

and the Averages will be tested by means of Scoot-Knott grouping at 5% probability. AND verified the presence 

of GxA interaction (significant F test) will be performed in the analysis of adaptability and stability of 

Wricke (1965) for dry mass production, characteristic directly related to energy production. For such analyses, 

the resources will be used. computations of the Genes program (CRUZ, 2013).

MEMBROS DA BANCA:
Interno - 131995001 - CELICE ALEXANDRE SILVA