CL2013001399A1 - Metodo para establecer un modelo objetivo usando el perfil metabolico y perfil fenotipico o perfil de rasgo de por lo menos dos grupos de plantas; y metodo de seleccion de una planta predispuesta a expresar un rasgo de interes. - Google Patents

Metodo para establecer un modelo objetivo usando el perfil metabolico y perfil fenotipico o perfil de rasgo de por lo menos dos grupos de plantas; y metodo de seleccion de una planta predispuesta a expresar un rasgo de interes.

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Publication number
CL2013001399A1
CL2013001399A1 CL2013001399A CL2013001399A CL2013001399A1 CL 2013001399 A1 CL2013001399 A1 CL 2013001399A1 CL 2013001399 A CL2013001399 A CL 2013001399A CL 2013001399 A CL2013001399 A CL 2013001399A CL 2013001399 A1 CL2013001399 A1 CL 2013001399A1
Authority
CL
Chile
Prior art keywords
profile
predisposed
express
plants
establish
Prior art date
Application number
CL2013001399A
Other languages
English (en)
Inventor
Jan Hazebroek
James Janni
Jon Lightner
Original Assignee
Pioneer Hi Bred Int
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Pioneer Hi Bred Int filed Critical Pioneer Hi Bred Int
Publication of CL2013001399A1 publication Critical patent/CL2013001399A1/es

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Classifications

    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01H—NEW PLANTS OR NON-TRANSGENIC PROCESSES FOR OBTAINING THEM; PLANT REPRODUCTION BY TISSUE CULTURE TECHNIQUES
    • A01H3/00—Processes for modifying phenotypes, e.g. symbiosis with bacteria
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B01—PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
    • B01D—SEPARATION
    • B01D15/00—Separating processes involving the treatment of liquids with solid sorbents; Apparatus therefor
    • B01D15/08—Selective adsorption, e.g. chromatography
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N30/00—Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
    • G01N30/02—Column chromatography
    • G01N30/86—Signal analysis
    • G01N30/8675—Evaluation, i.e. decoding of the signal into analytical information
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/483—Physical analysis of biological material
    • G01N33/4833—Physical analysis of biological material of solid biological material, e.g. tissue samples, cell cultures
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B20/00—ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B20/00—ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • G16B20/20—Allele or variant detection, e.g. single nucleotide polymorphism [SNP] detection
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B20/00—ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • G16B20/50—Mutagenesis
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B40/00—ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B40/00—ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
    • G16B40/20—Supervised data analysis
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B40/00—ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
    • G16B40/30—Unsupervised data analysis
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B5/00—ICT specially adapted for modelling or simulations in systems biology, e.g. gene-regulatory networks, protein interaction networks or metabolic networks

Landscapes

  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Medical Informatics (AREA)
  • General Health & Medical Sciences (AREA)
  • Biophysics (AREA)
  • Chemical & Material Sciences (AREA)
  • Biotechnology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Theoretical Computer Science (AREA)
  • Analytical Chemistry (AREA)
  • Molecular Biology (AREA)
  • Data Mining & Analysis (AREA)
  • Biomedical Technology (AREA)
  • Genetics & Genomics (AREA)
  • Databases & Information Systems (AREA)
  • Bioethics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Artificial Intelligence (AREA)
  • Epidemiology (AREA)
  • Evolutionary Computation (AREA)
  • Public Health (AREA)
  • Software Systems (AREA)
  • Proteomics, Peptides & Aminoacids (AREA)
  • Pathology (AREA)
  • Immunology (AREA)
  • General Physics & Mathematics (AREA)
  • Biochemistry (AREA)
  • Food Science & Technology (AREA)
  • Medicinal Chemistry (AREA)
  • Urology & Nephrology (AREA)
  • Hematology (AREA)
  • Optics & Photonics (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Physiology (AREA)
  • Botany (AREA)
CL2013001399A 2010-11-17 2013-05-16 Metodo para establecer un modelo objetivo usando el perfil metabolico y perfil fenotipico o perfil de rasgo de por lo menos dos grupos de plantas; y metodo de seleccion de una planta predispuesta a expresar un rasgo de interes. CL2013001399A1 (es)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US41464510P 2010-11-17 2010-11-17

Publications (1)

Publication Number Publication Date
CL2013001399A1 true CL2013001399A1 (es) 2014-02-21

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
CL2013001399A CL2013001399A1 (es) 2010-11-17 2013-05-16 Metodo para establecer un modelo objetivo usando el perfil metabolico y perfil fenotipico o perfil de rasgo de por lo menos dos grupos de plantas; y metodo de seleccion de una planta predispuesta a expresar un rasgo de interes.

Country Status (9)

Country Link
US (1) US9465911B2 (es)
EP (1) EP2641205B1 (es)
AR (1) AR083897A1 (es)
AU (1) AU2011328963B2 (es)
BR (1) BR112013012068B1 (es)
CA (1) CA2817241C (es)
CL (1) CL2013001399A1 (es)
ES (1) ES2865728T3 (es)
WO (1) WO2012068217A2 (es)

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CN106018626A (zh) * 2016-07-29 2016-10-12 云南省烟草农业科学研究院 一种基于气相色谱质谱的烟草柱头代谢组学分析方法
CN106018627A (zh) * 2016-07-29 2016-10-12 云南省烟草农业科学研究院 一种基于气相色谱质谱的烟草花粉代谢组学分析方法
CN106338569A (zh) * 2016-07-29 2017-01-18 云南省烟草农业科学研究院 一种基于气相色谱质谱的烟草茎部代谢组学分析方法
CN106018654A (zh) * 2016-07-29 2016-10-12 云南省烟草农业科学研究院 一种基于气相色谱质谱的烟草花柱代谢组学分析方法
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CN106897913B (zh) * 2017-01-22 2020-10-27 华南理工大学 一种精确的注塑机选型方法
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CN109283278B (zh) * 2018-11-30 2021-10-01 北京林业大学 一种微量油茶种仁油脂含量和脂肪酸同时测定的方法
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US9465911B2 (en) 2010-11-17 2016-10-11 Pioneer Hi-Bred International, Inc. Prediction of phenotypes and traits based on the metabolome

Also Published As

Publication number Publication date
AR083897A1 (es) 2013-04-10
WO2012068217A2 (en) 2012-05-24
ES2865728T3 (es) 2021-10-15
BR112013012068B1 (pt) 2020-12-01
EP2641205B1 (en) 2021-03-17
EP2641205A2 (en) 2013-09-25
US20120119080A1 (en) 2012-05-17
AU2011328963A1 (en) 2013-05-30
US9465911B2 (en) 2016-10-11
CA2817241A1 (en) 2012-05-24
CA2817241C (en) 2018-10-02
AU2011328963B2 (en) 2016-12-08
BR112013012068A2 (pt) 2016-08-09

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