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אסיף מאגר המחקר החקלאי
פותח על ידי קלירמאש פתרונות בע"מ -
Image-based high-throughput phenotyping of cereals early vigor and weed-competitiveness traits
Year:
2020
Source of publication :
remote sensing (source)
Authors :
בן-דוד, רואי
;
.
לאטי, רן
;
.
Volume :
12
Co-Authors:

Aharon, S. - Department of Plant Pathology and Weed Research, Newe Ya’ar Research Center, Agricultural Research Organization (ARO)-Volcani Center, Ramat Yishay, 30095, Israel; The Robert H. Smith Institute of Plant Sciences and Genetics in Agriculture, The Hebrew University of Jerusalem, Rehovot, 7610001, Israel.

Peleg, Z. _ The Robert H. Smith Institute of Plant Sciences and Genetics in Agriculture, The Hebrew University of Jerusalem, Rehovot, 7610001, Israel.

Argaman, E. _ Soil Erosion Research Station, Ministry of Agriculture and Rural Development, Rishon LeZion, 7528809, Israel.
Ben-David, R. _ Institute of Plant Sciences, Agriculture Research Organization (ARO)-Volcani Center, Rishon LeZion, 7528809, Israel. 
Lati, R.N. _ Department of Plant Pathology and Weed Research, Newe Ya’ar Research Center, Agricultural Research Organization (ARO)-Volcani Center, Ramat Yishay, 30095, Israel.
 

Facilitators :
From page:
0
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0
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Total pages:
1
)
Abstract:

Cereals grains are the prime component of the human diet worldwide. To promote food security and sustainability, new approaches to non-chemical weed control are needed. Early vigor cultivars with enhanced weed-competitiveness ability are a potential tool, nonetheless, the introduction of such trait in breeding may be a long and labor-intensive process. Here, two image-driven plant phenotyping methods were evaluated to facilitate effective and accurate selection for early vigor in cereals. For that purpose, two triticale genotypes differentiating in vigor and growth rate early in the season were selected as model plants: X-1010 (high) and Triticale1 (low). Two modeling approaches, 2-D and 3-D, were applied on the plants offering an evaluation of various morphological growth parameters for the triticale canopy development, under controlled and field conditions. The morphological advantage of X-1010 was observed only at the initial growth stages, which was reflected by significantly higher growth parameter values compared to the Triticale1 genotype. Both modeling approaches were sensitive enough to detect phenotypic differences in growth as early as 21 days after sowing. All growth parameters indicated a faster early growth of X-1010. However, the 2-D related parameter [projected shoot area (PSA)] is the most available one that can be extracted via end user-friendly imaging equipment. PSA provided adequate indication for the triticale early growth under weed-competition conditions and for the improved weed-competition ability. The adequate phenotyping ability for early growth and competition was robust under controlled and field conditions. PSA can be extracted from close and remote sensing platforms, thus, facilitate high throughput screening. Overall, the results of this study may improve cereal breeding for early vigor and weed-competitiveness.

Note:
Related Files :
Canopy development
food supply
Parameter estimation
remote sensing
three-dimensional modeling
weed control
עוד תגיות
תוכן קשור
More details
DOI :
10.3390/rs12233877
Article number:
0
Affiliations:
Database:
סקופוס
Publication Type:
מאמר
;
.
Language:
אנגלית
Editors' remarks:
ID:
52301
Last updated date:
02/03/2022 17:27
Creation date:
13/12/2020 18:30
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Scientific Publication
Image-based high-throughput phenotyping of cereals early vigor and weed-competitiveness traits
12

Aharon, S. - Department of Plant Pathology and Weed Research, Newe Ya’ar Research Center, Agricultural Research Organization (ARO)-Volcani Center, Ramat Yishay, 30095, Israel; The Robert H. Smith Institute of Plant Sciences and Genetics in Agriculture, The Hebrew University of Jerusalem, Rehovot, 7610001, Israel.

Peleg, Z. _ The Robert H. Smith Institute of Plant Sciences and Genetics in Agriculture, The Hebrew University of Jerusalem, Rehovot, 7610001, Israel.

Argaman, E. _ Soil Erosion Research Station, Ministry of Agriculture and Rural Development, Rishon LeZion, 7528809, Israel.
Ben-David, R. _ Institute of Plant Sciences, Agriculture Research Organization (ARO)-Volcani Center, Rishon LeZion, 7528809, Israel. 
Lati, R.N. _ Department of Plant Pathology and Weed Research, Newe Ya’ar Research Center, Agricultural Research Organization (ARO)-Volcani Center, Ramat Yishay, 30095, Israel.
 

Image-based high-throughput phenotyping of cereals early vigor and weed-competitiveness traits

Cereals grains are the prime component of the human diet worldwide. To promote food security and sustainability, new approaches to non-chemical weed control are needed. Early vigor cultivars with enhanced weed-competitiveness ability are a potential tool, nonetheless, the introduction of such trait in breeding may be a long and labor-intensive process. Here, two image-driven plant phenotyping methods were evaluated to facilitate effective and accurate selection for early vigor in cereals. For that purpose, two triticale genotypes differentiating in vigor and growth rate early in the season were selected as model plants: X-1010 (high) and Triticale1 (low). Two modeling approaches, 2-D and 3-D, were applied on the plants offering an evaluation of various morphological growth parameters for the triticale canopy development, under controlled and field conditions. The morphological advantage of X-1010 was observed only at the initial growth stages, which was reflected by significantly higher growth parameter values compared to the Triticale1 genotype. Both modeling approaches were sensitive enough to detect phenotypic differences in growth as early as 21 days after sowing. All growth parameters indicated a faster early growth of X-1010. However, the 2-D related parameter [projected shoot area (PSA)] is the most available one that can be extracted via end user-friendly imaging equipment. PSA provided adequate indication for the triticale early growth under weed-competition conditions and for the improved weed-competition ability. The adequate phenotyping ability for early growth and competition was robust under controlled and field conditions. PSA can be extracted from close and remote sensing platforms, thus, facilitate high throughput screening. Overall, the results of this study may improve cereal breeding for early vigor and weed-competitiveness.

Scientific Publication
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