BR112013012068A2 - método para estabelecer um modelo imparcial e método para selecionar uma planta - Google Patents

método para estabelecer um modelo imparcial e método para selecionar uma planta

Info

Publication number
BR112013012068A2
BR112013012068A2 BR112013012068A BR112013012068A BR112013012068A2 BR 112013012068 A2 BR112013012068 A2 BR 112013012068A2 BR 112013012068 A BR112013012068 A BR 112013012068A BR 112013012068 A BR112013012068 A BR 112013012068A BR 112013012068 A2 BR112013012068 A2 BR 112013012068A2
Authority
BR
Brazil
Prior art keywords
establishing
plant
selecting
unbiased model
unbiased
Prior art date
Application number
BR112013012068A
Other languages
English (en)
Other versions
BR112013012068B1 (pt
Inventor
Jan Hazebroek
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 BR112013012068A2 publication Critical patent/BR112013012068A2/pt
Publication of BR112013012068B1 publication Critical patent/BR112013012068B1/pt

Links

Classifications

    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01HNEW PLANTS OR NON-TRANSGENIC PROCESSES FOR OBTAINING THEM; PLANT REPRODUCTION BY TISSUE CULTURE TECHNIQUES
    • A01H3/00Processes for modifying phenotypes, e.g. symbiosis with bacteria
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B01PHYSICAL OR CHEMICAL PROCESSES OR APPARATUS IN GENERAL
    • B01DSEPARATION
    • B01D15/00Separating processes involving the treatment of liquids with solid sorbents; Apparatus therefor
    • B01D15/08Selective adsorption, e.g. chromatography
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N30/00Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
    • G01N30/02Column chromatography
    • G01N30/86Signal analysis
    • G01N30/8675Evaluation, i.e. decoding of the signal into analytical information
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/48Biological material, e.g. blood, urine; Haemocytometers
    • G01N33/483Physical analysis of biological material
    • G01N33/4833Physical analysis of biological material of solid biological material, e.g. tissue samples, cell cultures
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B20/00ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B20/00ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • G16B20/20Allele or variant detection, e.g. single nucleotide polymorphism [SNP] detection
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B20/00ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • G16B20/50Mutagenesis
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B40/00ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B40/00ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
    • G16B40/20Supervised data analysis
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B40/00ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
    • G16B40/30Unsupervised data analysis
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B5/00ICT 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)
  • Computer Vision & Pattern Recognition (AREA)
  • Artificial Intelligence (AREA)
  • Bioethics (AREA)
  • Databases & Information Systems (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)
BR112013012068-1A 2010-11-17 2011-11-16 método imparcial para prever o fenótipo ou traço de pelo menos uma planta independente BR112013012068B1 (pt)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US41464510P 2010-11-17 2010-11-17
US61/414,645 2010-11-17
PCT/US2011/060936 WO2012068217A2 (en) 2010-11-17 2011-11-16 Prediction of phenotypes and traits based on the metabolome

Publications (2)

Publication Number Publication Date
BR112013012068A2 true BR112013012068A2 (pt) 2016-08-09
BR112013012068B1 BR112013012068B1 (pt) 2020-12-01

Family

ID=45094266

Family Applications (1)

Application Number Title Priority Date Filing Date
BR112013012068-1A BR112013012068B1 (pt) 2010-11-17 2011-11-16 método imparcial para prever o fenótipo ou traço de pelo menos uma planta independente

Country Status (9)

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

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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

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US10438581B2 (en) 2013-07-31 2019-10-08 Google Llc Speech recognition using neural networks
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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
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
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
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
CN106404971B (zh) * 2016-11-29 2018-07-03 河南工业大学 气相色谱法鉴定大米加工精度的方法
WO2018110490A1 (ja) * 2016-12-12 2018-06-21 日本電気株式会社 情報処理装置、遺伝情報作成方法及びプログラム
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
US20180239866A1 (en) * 2017-02-21 2018-08-23 International Business Machines Corporation Prediction of genetic trait expression using data analytics
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
EP3711478A1 (en) * 2019-03-21 2020-09-23 Basf Se Method for predicting yield loss of a crop plant
EP3941187A1 (en) * 2019-03-21 2022-01-26 Basf Se Method for predicting yield performance of a crop plant
JP7244338B2 (ja) * 2019-04-16 2023-03-22 花王株式会社 ダイズの収量予測方法
WO2020213672A1 (ja) * 2019-04-16 2020-10-22 花王株式会社 ダイズの収量予測方法
JP2020174668A (ja) * 2019-04-16 2020-10-29 花王株式会社 ダイズの収量予測方法
CN111883214B (zh) * 2019-07-05 2023-06-16 深圳数字生命研究院 构建诱饵库、构建目标-诱饵库、代谢组fdr鉴定的方法及装置
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CN113376283B (zh) * 2021-06-10 2023-06-20 中国科学院成都生物研究所 基于小数据集的可用于非靶向危害物筛查的色谱条件快速开发方法
CN113516176A (zh) * 2021-06-21 2021-10-19 中国农业大学 基于光谱纹理特征和k近邻法的小麦倒伏区域识别方法
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
CA2817241C (en) 2018-10-02
US20120119080A1 (en) 2012-05-17
EP2641205B1 (en) 2021-03-17
AR083897A1 (es) 2013-04-10
WO2012068217A2 (en) 2012-05-24
CL2013001399A1 (es) 2014-02-21
AU2011328963A1 (en) 2013-05-30
AU2011328963B2 (en) 2016-12-08
US9465911B2 (en) 2016-10-11
ES2865728T3 (es) 2021-10-15
BR112013012068B1 (pt) 2020-12-01
EP2641205A2 (en) 2013-09-25
CA2817241A1 (en) 2012-05-24

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Legal Events

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B06T Formal requirements before examination [chapter 6.20 patent gazette]
B09A Decision: intention to grant [chapter 9.1 patent gazette]
B16A Patent or certificate of addition of invention granted [chapter 16.1 patent gazette]

Free format text: PRAZO DE VALIDADE: 20 (VINTE) ANOS CONTADOS A PARTIR DE 16/11/2011, OBSERVADAS AS CONDICOES LEGAIS.