Advanced Search
Syntax
Search...
Volcani treasures
About
Terms of use
Manage
Community:
אסיף מאגר המחקר החקלאי
Powered by ClearMash Solutions Ltd -
Temperature-Dependent Developmental Models for Predicting the Phenology of Maladera matrida (Coleoptera: Scarabaeidae)
Year:
1998
Source of publication :
Environmental Entomology
Authors :
Ben-Yakir, David
;
.
Harari, Ally
;
.
Hen, Michael
;
.
Volume :
27
Co-Authors:
Harari, A.R., Hebrew University, Faculty of Agriculture, Department of Entomology, P.O.Box 12, Rehovot 76100, Israel, Ben-Gurion University, Mitrani Center for Desert Ecology, Sde Boker Campus, 84990, Israel
Ben-Yakir, D., Volcani Center, Department of Entomology, P.O.Box 6, Bet-Dagan 50250, Israel
Chen, M., Volcani Center, Department of Entomology, P.O.Box 6, Bet-Dagan 50250, Israel
Rosen, D., Hebrew University, Faculty of Agriculture, Department of Entomology, P.O.Box 12, Rehovot 76100, Israel, Ben-Gurion University, Mitrani Center for Desert Ecology, Sde Boker Campus, 84990, Israel
Facilitators :
From page:
1220
To page:
1228
(
Total pages:
9
)
Abstract:

Maladera matrida Argaman is a key pest of peanuts (Arachis hypogaea L.) in Israel. The ability to predict accurately the occurrence of different developmental stages of this beetle may facilitate and improve the control of population of this pest. Thus, 4 non linear (logistic, exponential, sigmoid, and biophysical) models and 1 linear model were tested to fit the relationship between the developmental rate of M. matrida and temperature in a wide range of constant temperatures (20-31 ± 1°C). The required degree-days and the developmental threshold were estimated from the linear portion of the biophysical model, which provided the best fit to the developmental rate data generated in the laboratory. A linear phenological model using the parameters derived from the biophysical model accurately predicted the developmental time of the early generation of M. matrida in peanut fields but failed to predict developmental time of later generations. Predictive extension timing estimation (PETE), a time varying distribution delay model, accurately predicted the occurrence of both early and late generations. It is critical for growers to be able to predict the occurrence of 1st instars in the soil of germinating peanut fields following the emergence of the pest after overwintering. This information allows peanut growers to be prepared with monitoring and control devices to reduce the damage caused by M. matrida to peanuts.

Note:
Related Files :
Arachis hypogaea
Degree-days
Developmental-threshold
Maladera matrida
Model
pest control
White grubs
Show More
Related Content
More details
DOI :
Article number:
0
Affiliations:
Database:
Scopus
Publication Type:
article
;
.
Language:
English
Editors' remarks:
ID:
29202
Last updated date:
02/03/2022 17:27
Creation date:
17/04/2018 00:45
Scientific Publication
Temperature-Dependent Developmental Models for Predicting the Phenology of Maladera matrida (Coleoptera: Scarabaeidae)
27
Harari, A.R., Hebrew University, Faculty of Agriculture, Department of Entomology, P.O.Box 12, Rehovot 76100, Israel, Ben-Gurion University, Mitrani Center for Desert Ecology, Sde Boker Campus, 84990, Israel
Ben-Yakir, D., Volcani Center, Department of Entomology, P.O.Box 6, Bet-Dagan 50250, Israel
Chen, M., Volcani Center, Department of Entomology, P.O.Box 6, Bet-Dagan 50250, Israel
Rosen, D., Hebrew University, Faculty of Agriculture, Department of Entomology, P.O.Box 12, Rehovot 76100, Israel, Ben-Gurion University, Mitrani Center for Desert Ecology, Sde Boker Campus, 84990, Israel
Temperature-Dependent Developmental Models for Predicting the Phenology of Maladera matrida (Coleoptera: Scarabaeidae)

Maladera matrida Argaman is a key pest of peanuts (Arachis hypogaea L.) in Israel. The ability to predict accurately the occurrence of different developmental stages of this beetle may facilitate and improve the control of population of this pest. Thus, 4 non linear (logistic, exponential, sigmoid, and biophysical) models and 1 linear model were tested to fit the relationship between the developmental rate of M. matrida and temperature in a wide range of constant temperatures (20-31 ± 1°C). The required degree-days and the developmental threshold were estimated from the linear portion of the biophysical model, which provided the best fit to the developmental rate data generated in the laboratory. A linear phenological model using the parameters derived from the biophysical model accurately predicted the developmental time of the early generation of M. matrida in peanut fields but failed to predict developmental time of later generations. Predictive extension timing estimation (PETE), a time varying distribution delay model, accurately predicted the occurrence of both early and late generations. It is critical for growers to be able to predict the occurrence of 1st instars in the soil of germinating peanut fields following the emergence of the pest after overwintering. This information allows peanut growers to be prepared with monitoring and control devices to reduce the damage caused by M. matrida to peanuts.

Scientific Publication
נגישות
menu      
You may also be interested in