Banca de QUALIFICAÇÃO: Daniel Vicente Bobek

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
DISCENTE : Daniel Vicente Bobek
DATA : 29/05/2023
HORA: 14:00
LOCAL: Laboratório de resistência genética - Campus Cáceres
TÍTULO:

ENVIRONMENTAL ZONING AIMING TO OPTIMIZE THE ALLOCATION OF
SOYBEAN YIELD TESTS IN MATO GROSSO

PALAVRAS-CHAVES:

experimental network; adaptive behavior; environmental variables; geostatistics, regionalization, climate covariates.

PÁGINAS: 40
GRANDE ÁREA: Ciências Agrárias
ÁREA: Agronomia
SUBÁREA: Fitotecnia
ESPECIALIDADE: Melhoramento Vegetal
RESUMO:

Brazil is the largest producer of soy, with a production area of over 40 million
acre. Production in the country covers practically all regions, resulting in a high
environmental diversity in its cultivation. The environment exerts a great influence on behavior.
phenotypic characteristics of the species, especially through factors such as: water availability,
temperature, photoperiod. Given this information, the study aims to stratify
spatially the soybean cultivation environments in Mato Grosso in cultivation zones, through
the use of environmental variables, aiming at improving the distribution of experimental tests and
recommendation of soybean cultivars. Multi-environment experiments were conducted in 30
localities in relevant growing regions in Mato Grosso, corresponding to Macroregions
Soybean 4 (REC 401, 402, 403), over three harvests, 2019/2020, 2020/2021 and
2021/2022. The experimental design adopted was in complete randomized blocks.
(DBC), in three replications. In all, thirty soybean cultivars were evaluated, representing the
different maturity groups (7.3 - 8.3). The plots consisted of four rows of
plants, spaced 0.5 m apart and 5.0 m long each. Then, there will be a
spatial analysis including the main environmental factors that impact on yield
and, consequently, on the adaptation of cultivars. In view of the results obtained, it is expected
that the results of this study can subsidize the elaboration of experimental schemes that
result in greater selective accuracy, associated with lower financial and
operations, especially about the number of experimental sites in a program of
improvement.

MEMBROS DA BANCA:
Interno - 132048001 - LEONARDA GRILLO NEVES
Interno - 285519001 - THIAGO ALEXANDRE SANTANA GILIO
Externo ao Programa - 313571001 - MARIA DO SOCORRO BEZERRA DE ARAUJO