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Growth of axile and lateral roots of maize: I development of a phenotying platform
The objective of this study was to develop a phenotyping platform for the non-destructive, digital measurement of early root growth of axile and lateral roots and to evaluate its suitability for identifying maize (Zea mays L.) genotypes with contrasting root development. The system was designed to c...
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Published in: | Plant and soil 2009-12, Vol.325 (1-2), p.335-349 |
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description | The objective of this study was to develop a phenotyping platform for the non-destructive, digital measurement of early root growth of axile and lateral roots and to evaluate its suitability for identifying maize (Zea mays L.) genotypes with contrasting root development. The system was designed to capture images of the root system within minutes and to batch process them automatically. For system establishment, roots of the inbred line Ac7729/TZSRW were grown until nine days after germination on the surface of a blotting paper in pouches. An A4 scanner was used for image acquisition followed by digital image analysis. Image processing was optimized to enhance the separation between the roots and the background and to remove image noise. Based on the root length in diameter-class distribution (RLDD), small-diameter lateral roots and large-diameter axile roots were separated. Root systems were scanned daily to model the growth dynamics of these root types. While the axile roots exhibited an almost linear growth, total lateral root length increased exponentially. Given the determined exponential growth, it was demonstrated that two plants, germinated one day apart but with the same growth rates differed in root length by 100%. From the growth rates we were able to identify contrasting genotypes from 236 recombinant inbred lines (RILs) of the CML444 x SC-Malawi cross. Differences in the growth of lateral roots of two selected RILs were due to differences in the final length and linear density of the primary lateral roots, as proven by the manual reanalysis of the digital images. The high throughput makes the phenotyping platform attractive for routine genetic studies and other screening purposes. |
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The system was designed to capture images of the root system within minutes and to batch process them automatically. For system establishment, roots of the inbred line Ac7729/TZSRW were grown until nine days after germination on the surface of a blotting paper in pouches. An A4 scanner was used for image acquisition followed by digital image analysis. Image processing was optimized to enhance the separation between the roots and the background and to remove image noise. Based on the root length in diameter-class distribution (RLDD), small-diameter lateral roots and large-diameter axile roots were separated. Root systems were scanned daily to model the growth dynamics of these root types. While the axile roots exhibited an almost linear growth, total lateral root length increased exponentially. Given the determined exponential growth, it was demonstrated that two plants, germinated one day apart but with the same growth rates differed in root length by 100%. From the growth rates we were able to identify contrasting genotypes from 236 recombinant inbred lines (RILs) of the CML444 x SC-Malawi cross. Differences in the growth of lateral roots of two selected RILs were due to differences in the final length and linear density of the primary lateral roots, as proven by the manual reanalysis of the digital images. The high throughput makes the phenotyping platform attractive for routine genetic studies and other screening purposes.</description><identifier>ISSN: 0032-079X</identifier><identifier>EISSN: 1573-5036</identifier><identifier>DOI: 10.1007/s11104-009-9984-2</identifier><identifier>CODEN: PLSOA2</identifier><language>eng</language><publisher>Dordrecht: Dordrecht : Springer Netherlands</publisher><subject>Agronomy. Soil science and plant productions ; Animal, plant and microbial ecology ; Biological and medical sciences ; Biomedical and Life Sciences ; Corn ; Digital imaging ; Ecology ; Fundamental and applied biological sciences. Psychology ; General agronomy. Plant production ; Genotype & phenotype ; Genotypes ; Germination ; Growth rate ; Life Sciences ; Pixels ; Plant growth ; Plant Physiology ; Plant roots ; Plant Sciences ; Plants ; Regular Article ; Root development ; Root growth ; Root systems ; Roots ; Roots of functions ; Seeds ; Seminal roots ; Soil Science & Conservation ; Soil-plant relationships. Soil fertility ; Soil-plant relationships. Soil fertility. Fertilization. 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The system was designed to capture images of the root system within minutes and to batch process them automatically. For system establishment, roots of the inbred line Ac7729/TZSRW were grown until nine days after germination on the surface of a blotting paper in pouches. An A4 scanner was used for image acquisition followed by digital image analysis. Image processing was optimized to enhance the separation between the roots and the background and to remove image noise. Based on the root length in diameter-class distribution (RLDD), small-diameter lateral roots and large-diameter axile roots were separated. Root systems were scanned daily to model the growth dynamics of these root types. While the axile roots exhibited an almost linear growth, total lateral root length increased exponentially. Given the determined exponential growth, it was demonstrated that two plants, germinated one day apart but with the same growth rates differed in root length by 100%. From the growth rates we were able to identify contrasting genotypes from 236 recombinant inbred lines (RILs) of the CML444 x SC-Malawi cross. Differences in the growth of lateral roots of two selected RILs were due to differences in the final length and linear density of the primary lateral roots, as proven by the manual reanalysis of the digital images. The high throughput makes the phenotyping platform attractive for routine genetic studies and other screening purposes.</description><subject>Agronomy. Soil science and plant productions</subject><subject>Animal, plant and microbial ecology</subject><subject>Biological and medical sciences</subject><subject>Biomedical and Life Sciences</subject><subject>Corn</subject><subject>Digital imaging</subject><subject>Ecology</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General agronomy. Plant production</subject><subject>Genotype & phenotype</subject><subject>Genotypes</subject><subject>Germination</subject><subject>Growth rate</subject><subject>Life Sciences</subject><subject>Pixels</subject><subject>Plant growth</subject><subject>Plant Physiology</subject><subject>Plant roots</subject><subject>Plant Sciences</subject><subject>Plants</subject><subject>Regular Article</subject><subject>Root development</subject><subject>Root growth</subject><subject>Root systems</subject><subject>Roots</subject><subject>Roots of functions</subject><subject>Seeds</subject><subject>Seminal roots</subject><subject>Soil Science & Conservation</subject><subject>Soil-plant relationships. Soil fertility</subject><subject>Soil-plant relationships. Soil fertility. Fertilization. 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Soil science and plant productions</topic><topic>Animal, plant and microbial ecology</topic><topic>Biological and medical sciences</topic><topic>Biomedical and Life Sciences</topic><topic>Corn</topic><topic>Digital imaging</topic><topic>Ecology</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>General agronomy. Plant production</topic><topic>Genotype & phenotype</topic><topic>Genotypes</topic><topic>Germination</topic><topic>Growth rate</topic><topic>Life Sciences</topic><topic>Pixels</topic><topic>Plant growth</topic><topic>Plant Physiology</topic><topic>Plant roots</topic><topic>Plant Sciences</topic><topic>Plants</topic><topic>Regular Article</topic><topic>Root development</topic><topic>Root growth</topic><topic>Root systems</topic><topic>Roots</topic><topic>Roots of functions</topic><topic>Seeds</topic><topic>Seminal roots</topic><topic>Soil Science & Conservation</topic><topic>Soil-plant relationships. Soil fertility</topic><topic>Soil-plant relationships. Soil fertility. Fertilization. Amendments</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hund, A</creatorcontrib><creatorcontrib>Trachsel, S</creatorcontrib><creatorcontrib>Stamp, P</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Agricultural Science Collection</collection><collection>Biology Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agriculture Science Database</collection><collection>ProQuest Biological Science Journals</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Genetics Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Plant and soil</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hund, A</au><au>Trachsel, S</au><au>Stamp, P</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Growth of axile and lateral roots of maize: I development of a phenotying platform</atitle><jtitle>Plant and soil</jtitle><stitle>Plant Soil</stitle><date>2009-12-01</date><risdate>2009</risdate><volume>325</volume><issue>1-2</issue><spage>335</spage><epage>349</epage><pages>335-349</pages><issn>0032-079X</issn><eissn>1573-5036</eissn><coden>PLSOA2</coden><abstract>The objective of this study was to develop a phenotyping platform for the non-destructive, digital measurement of early root growth of axile and lateral roots and to evaluate its suitability for identifying maize (Zea mays L.) genotypes with contrasting root development. The system was designed to capture images of the root system within minutes and to batch process them automatically. For system establishment, roots of the inbred line Ac7729/TZSRW were grown until nine days after germination on the surface of a blotting paper in pouches. An A4 scanner was used for image acquisition followed by digital image analysis. Image processing was optimized to enhance the separation between the roots and the background and to remove image noise. Based on the root length in diameter-class distribution (RLDD), small-diameter lateral roots and large-diameter axile roots were separated. Root systems were scanned daily to model the growth dynamics of these root types. While the axile roots exhibited an almost linear growth, total lateral root length increased exponentially. Given the determined exponential growth, it was demonstrated that two plants, germinated one day apart but with the same growth rates differed in root length by 100%. From the growth rates we were able to identify contrasting genotypes from 236 recombinant inbred lines (RILs) of the CML444 x SC-Malawi cross. Differences in the growth of lateral roots of two selected RILs were due to differences in the final length and linear density of the primary lateral roots, as proven by the manual reanalysis of the digital images. The high throughput makes the phenotyping platform attractive for routine genetic studies and other screening purposes.</abstract><cop>Dordrecht</cop><pub>Dordrecht : Springer Netherlands</pub><doi>10.1007/s11104-009-9984-2</doi><tpages>15</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Agronomy. Soil science and plant productions Animal, plant and microbial ecology Biological and medical sciences Biomedical and Life Sciences Corn Digital imaging Ecology Fundamental and applied biological sciences. Psychology General agronomy. Plant production Genotype & phenotype Genotypes Germination Growth rate Life Sciences Pixels Plant growth Plant Physiology Plant roots Plant Sciences Plants Regular Article Root development Root growth Root systems Roots Roots of functions Seeds Seminal roots Soil Science & Conservation Soil-plant relationships. Soil fertility Soil-plant relationships. Soil fertility. Fertilization. Amendments |
title | Growth of axile and lateral roots of maize: I development of a phenotying platform |
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