Banca de DEFESA: EZEQUIEL GARCIA DE SOUZA

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : EZEQUIEL GARCIA DE SOUZA
DATE: 29/07/2022
TIME: 08:30
LOCAL: https://conferenciaweb.rnp.br/webconf/marcos-antonio-matiello-fadini
TITLE:

DEVELOPMENT AND VALIDATION OF MODEL TO POPULATION ESTIMATE THE TWOSPOTTED MITE IN SOYBEAN

KEY WORDS:

Sampling, Tetranychus urticae, Glycine max, colorimetry.

PAGES: 50
BIG AREA: Ciências Agrárias
AREA: Agronomia
SUBÁREA: Fitossanidade
SPECIALTY: Entomologia Agrícola
SUMMARY:

The twospotted spider mite Tetranychus urticae Koch (Acari: Tetranychidae)
causes tanning and leaf fall in soybeans, reducing production and grain quality. The
population sampling levels of this species is important to improve the management in
commercial plantations. The use of colorimetric measurements in soybean areas can be
an alternative for monitoring of mite. Helping to estimate populations in real time. Thus,
the present study aimed to estimate the number of mites in soybean by colorimetric
measurements using the CIE-L*a*b* color space. The experiment was conducted at the
Agricultural Entomology Laboratory and greenhouse on São João Del Rei Federal
University - Campus Sete Lagoas. The soybean variety used was BRS 7780 IPRO present
in producing areas in the state of Minas Gerais. The plants were kept in a greenhouse with
controlled temperature and humidity, in 1 L plastic pots with Terral Solo® substrate until
the V3 stage, when the infestations are made. The technical aspects and nutritional needs
of were rigorously followed. Soybean plants at V3 stage were used with 4 treatments
(control= 0; T1 = 30; T2 = 60 and T3 = 100 adult females of T. urticae per plant) and 3
replicates and 170 measurements. A leaf of each plant was infested with females coming
from creation, using Biocontrol® entomological glue on the edges to prevent escape of
the mites. The leaves chosen for infestation were marked for future identification. After
10 days of the initial infestation, the plants were transported to the Laboratory, where
colorimetric measurements and mite counts were performed. Regression and variance
analyses were performed using Origin Pro 2015 software. Prediction equations were
calibrated and validated. There is a significant difference for the variables L*, a* and
ΔE*. Regression analyses showed determination coefficient values of 0.87; 0.93, and 0.55
for L*, a*, and b*, respectively. The use of the green variable (a*) in the CIE-L*a*b*
space proved to be effective in distinguishing between infestation levels. The model
created to estimate the number of mites in soybean leaves is adequate and viable to be
applied in soybean areas with twospotted mite infestations.

BANKING MEMBERS:
Presidente - 1725637 - MARCOS ANTONIO MATIELLO FADINI
Externa à Instituição - ELEM FIALHO MARTINS
Externo à Instituição - MARCO AURÉLIO GUERRA PIMENTEL