נגישות
menu      
Advanced Search
Syntax
Search...
Volcani treasures
About
Terms of use
Manage
Community:
אסיף מאגר המחקר החקלאי
Powered by ClearMash Solutions Ltd -
Spatial spread of the root parasitic weed phelipanche aegyptiaca in processing tomatoes by using ecoinformatics and spatial analysis
Year:
2017
Source of publication :
Frontiers in Plant Science
Authors :
Blank, Lior
;
.
Cohen, Yafit
;
.
Eizenberg, Hanan
;
.
Goldshtein, Eitan
;
.
Roei, Itai
;
.
Volume :
8
Co-Authors:
Cohen, Y., Institute of Agricultural Engineering, Agricultural Research Organization, Volcani Center, Rishon Lezion, Israel
Roei, I., Institute of Agricultural Engineering, Agricultural Research Organization, Volcani Center, Rishon Lezion, Israel, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, Israel
Blank, L., Institute of Plant Protection, Agricultural Research Organization, Volcani Center, Rishon Lezion, Israel
Goldshtein, E., Institute of Agricultural Engineering, Agricultural Research Organization, Volcani Center, Rishon Lezion, Israel
Eizenberg, H., Newe Ya’ar Research Center, Agricultural Research Organization, Volcani Center, Rishon Lezion, Israel
Facilitators :
From page:
1
To page:
13
(
Total pages:
13
)
Abstract:
Egyptian broomrape (Phelipanche aegyptiaca) is one of the main threats to tomato production in Israel. The seed bank of P. aegyptiaca rapidly develops and spreads in the field. Knowledge about the spatio-temporal distribution of such weeds is required in advance of emergence, as they emerge late in their life cycle when they have already caused major crop damage. The aim of this study is to reveal the effects of two major internal infestation sources: crop rotation and infestation history; and one external source: proximity to infested tomato fields; on infestation of P. aegyptiaca in processing tomatoes. Ecoinformatics, spatial analysis and geostatistics were used to examine these effects. A regional survey was conducted to collect data on field history from 238 tomato fields between 2000 and 2012, in a major tomato-growing region in Israel. Multivariate logistic regression in the framework of generalized linear models (GLM) has demonstrated the importance of all three variables in predicting infestation in tomato fields. The parameters of the overall model indicated a high specificity between tomatoes and P. aegyptiaca, which is potentially responsible for aggravating infestation. In addition, P. aegyptiaca infestation levels were intensively mapped in 43 of the 238 tomato fields in the years 2010–2012. Geostatistical measures showed that 40% of the fields had clustered infestation spatial patterns with infestation clusters located along the fields’ borders. Strong linear and negative relationships were found between infestation level and distance from a neighboring infested field, strengthening the role of infested tomato fields in P. aegyptiaca spread. An experiment specifically designed for this study showed that during harvest, P. aegyptiaca seeds are blown from an infested field to a distance of at least 90 m, and may initiate infestation in neighboring fields. Integrating current knowledge about the role of agricultural practices on the spread of P. aegyptiaca with the results of this study enabled us to propose a mechanism for the spread of P. aegyptiaca. Given the major effect of agricultural practices on infestation levels, it is assumed that the spread of this weed can be suppressed by implementing sanitation and using decision support tools for herbicide application. © 2017 Cohen, Roei, Blank, Goldshtein and Eizenberg.
Note:
Related Files :
Average nearest neighbor (ANN)
Egyptian broomrape
Geostatistics
Multi-scale analysis
Parasitic weeds mapping
Show More
Related Content
More details
DOI :
10.3389/fpls.2017.00973
Article number:
973
Affiliations:
Database:
Scopus
Publication Type:
article
;
.
Language:
English
Editors' remarks:
ID:
25943
Last updated date:
02/03/2022 17:27
Creation date:
17/04/2018 00:18
You may also be interested in
Scientific Publication
Spatial spread of the root parasitic weed phelipanche aegyptiaca in processing tomatoes by using ecoinformatics and spatial analysis
8
Cohen, Y., Institute of Agricultural Engineering, Agricultural Research Organization, Volcani Center, Rishon Lezion, Israel
Roei, I., Institute of Agricultural Engineering, Agricultural Research Organization, Volcani Center, Rishon Lezion, Israel, The Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, Israel
Blank, L., Institute of Plant Protection, Agricultural Research Organization, Volcani Center, Rishon Lezion, Israel
Goldshtein, E., Institute of Agricultural Engineering, Agricultural Research Organization, Volcani Center, Rishon Lezion, Israel
Eizenberg, H., Newe Ya’ar Research Center, Agricultural Research Organization, Volcani Center, Rishon Lezion, Israel
Spatial spread of the root parasitic weed phelipanche aegyptiaca in processing tomatoes by using ecoinformatics and spatial analysis
Egyptian broomrape (Phelipanche aegyptiaca) is one of the main threats to tomato production in Israel. The seed bank of P. aegyptiaca rapidly develops and spreads in the field. Knowledge about the spatio-temporal distribution of such weeds is required in advance of emergence, as they emerge late in their life cycle when they have already caused major crop damage. The aim of this study is to reveal the effects of two major internal infestation sources: crop rotation and infestation history; and one external source: proximity to infested tomato fields; on infestation of P. aegyptiaca in processing tomatoes. Ecoinformatics, spatial analysis and geostatistics were used to examine these effects. A regional survey was conducted to collect data on field history from 238 tomato fields between 2000 and 2012, in a major tomato-growing region in Israel. Multivariate logistic regression in the framework of generalized linear models (GLM) has demonstrated the importance of all three variables in predicting infestation in tomato fields. The parameters of the overall model indicated a high specificity between tomatoes and P. aegyptiaca, which is potentially responsible for aggravating infestation. In addition, P. aegyptiaca infestation levels were intensively mapped in 43 of the 238 tomato fields in the years 2010–2012. Geostatistical measures showed that 40% of the fields had clustered infestation spatial patterns with infestation clusters located along the fields’ borders. Strong linear and negative relationships were found between infestation level and distance from a neighboring infested field, strengthening the role of infested tomato fields in P. aegyptiaca spread. An experiment specifically designed for this study showed that during harvest, P. aegyptiaca seeds are blown from an infested field to a distance of at least 90 m, and may initiate infestation in neighboring fields. Integrating current knowledge about the role of agricultural practices on the spread of P. aegyptiaca with the results of this study enabled us to propose a mechanism for the spread of P. aegyptiaca. Given the major effect of agricultural practices on infestation levels, it is assumed that the spread of this weed can be suppressed by implementing sanitation and using decision support tools for herbicide application. © 2017 Cohen, Roei, Blank, Goldshtein and Eizenberg.
Scientific Publication
You may also be interested in