CL2017001538A1 - Métodos moleculares mejorados de reproducción - Google Patents

Métodos moleculares mejorados de reproducción

Info

Publication number
CL2017001538A1
CL2017001538A1 CL2017001538A CL2017001538A CL2017001538A1 CL 2017001538 A1 CL2017001538 A1 CL 2017001538A1 CL 2017001538 A CL2017001538 A CL 2017001538A CL 2017001538 A CL2017001538 A CL 2017001538A CL 2017001538 A1 CL2017001538 A1 CL 2017001538A1
Authority
CL
Chile
Prior art keywords
grouping
complete
populations
reproduction
estimate
Prior art date
Application number
CL2017001538A
Other languages
English (en)
Inventor
Frank Technow
Liviu Radu Totir
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 CL2017001538A1 publication Critical patent/CL2017001538A1/es

Links

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
    • A01H1/00—Processes for modifying genotypes ; Plants characterised by associated natural traits
    • A01H1/04—Processes of selection involving genotypic or phenotypic markers; Methods of using phenotypic markers for selection
    • 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
    • G16B20/40—Population genetics; Linkage disequilibrium

Landscapes

  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Genetics & Genomics (AREA)
  • Physics & Mathematics (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Engineering & Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
  • Proteomics, Peptides & Aminoacids (AREA)
  • Medical Informatics (AREA)
  • Theoretical Computer Science (AREA)
  • Analytical Chemistry (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • Chemical & Material Sciences (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Biotechnology (AREA)
  • Evolutionary Biology (AREA)
  • Botany (AREA)
  • Developmental Biology & Embryology (AREA)
  • Environmental Sciences (AREA)
  • Ecology (AREA)
  • Physiology (AREA)
  • Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Complex Calculations (AREA)
  • Image Analysis (AREA)
  • Exposure And Positioning Against Photoresist Photosensitive Materials (AREA)

Abstract

<p>SE DESCRIBE UN MODELO DE REGRESIÓN DE GENOMA COMPLETO MULTINIVEL BAYESIANO Y SU COMPORTAMIENTO DE PREDICCIÓN EN COMPARACIÓN CON EL DEL MODELO BAYESA POPULAR APLICADO A CADA UNA DE LAS POBLACIONES POR SEPARADO (NO AGRUPACIÓN) Y AL CONJUNTO DE DATOS REUNIDOS (AGRUPACIÓN COMPLETA). PARA POBLACIONES DE PEQUEÑO TAMAÑO (P. EJ., < 50), LA AGRUPACIÓN PARCIAL INCREMENTÓ LA PRECISIÓN DE PREDICCIÓN FRENTE A LA NO AGRUPACIÓN O A LA AGRUPACIÓN COMPLETA PARA POBLACIONES REPRESENTADAS EN EL CONJUNTO DE ESTIMACIÓN. LA AGRUPACIÓN PARCIAL CON MODELOS MULTINIVEL PUEDE HACER UN USO ÓPTIMO DE INFORMACIÓN EN CONJUNTOS DE ESTIMACIÓN MULTIPOBLACIÓN.</p>
CL2017001538A 2014-12-18 2017-06-14 Métodos moleculares mejorados de reproducción CL2017001538A1 (es)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US201462093713P 2014-12-18 2014-12-18

Publications (1)

Publication Number Publication Date
CL2017001538A1 true CL2017001538A1 (es) 2018-02-23

Family

ID=56127382

Family Applications (1)

Application Number Title Priority Date Filing Date
CL2017001538A CL2017001538A1 (es) 2014-12-18 2017-06-14 Métodos moleculares mejorados de reproducción

Country Status (9)

Country Link
US (1) US11980147B2 (es)
CN (1) CN107205352A (es)
AR (1) AR103075A1 (es)
AU (1) AU2015362942B2 (es)
BR (1) BR112017012891B1 (es)
CA (1) CA2968120A1 (es)
CL (1) CL2017001538A1 (es)
MX (1) MX2017007712A (es)
WO (1) WO2016100061A1 (es)

Families Citing this family (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107177691B (zh) * 2017-07-14 2019-11-22 中国农业科学院棉花研究所 用于辅助选择棉花优异亲本遗传背景的snp标记及其检测方法
CN108371105B (zh) * 2018-03-16 2019-10-25 广东省农业科学院水稻研究所 一种基于核心系谱品种的高密度分子标记辅助聚合育种方法
CN108707683B (zh) * 2018-04-16 2021-12-21 张家口市农业科学院 与谷子穗长性状相关的snp标记及其检测引物和应用
CA3123457A1 (en) 2019-03-11 2020-09-17 Pioneer Hi-Bred International, Inc. Methods for clonal plant production
US11576316B2 (en) 2019-03-28 2023-02-14 Monsanto Technology Llc Methods and systems for use in implementing resources in plant breeding
CN110853710B (zh) * 2019-11-20 2023-09-12 云南省烟草农业科学研究院 一种预测烟草淀粉含量的全基因组选择模型及其应用
CN110782943B (zh) * 2019-11-20 2023-09-12 云南省烟草农业科学研究院 一种预测烟草株高的全基因组选择模型及其应用
CN110853711B (zh) * 2019-11-20 2023-09-12 云南省烟草农业科学研究院 一种预测烟草果糖含量的全基因组选择模型及其应用
CN111223520B (zh) * 2019-11-20 2023-09-12 云南省烟草农业科学研究院 一种预测烟草尼古丁含量的全基因组选择模型及其应用
CN111243667B (zh) * 2020-03-18 2020-10-16 中国农业科学院北京畜牧兽医研究所 华西牛基因组选择方法
CN114304057B (zh) * 2021-12-23 2022-11-22 深圳市金新农科技股份有限公司 一种针对体尺性状的分子选育方法及其应用

Family Cites Families (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050144664A1 (en) 2003-05-28 2005-06-30 Pioneer Hi-Bred International, Inc. Plant breeding method
WO2008025093A1 (en) 2006-09-01 2008-03-06 Innovative Dairy Products Pty Ltd Whole genome based genetic evaluation and selection process
EP1962212A1 (en) 2007-01-17 2008-08-27 Syngeta Participations AG Process for selecting individuals and designing a breeding program
CN102067142A (zh) 2008-02-26 2011-05-18 普渡研究基金会 用于患者基因分型的方法
DE102008000715B9 (de) 2008-03-17 2013-01-17 Sirs-Lab Gmbh Verfahren zur in vitro Erfasssung und Unterscheidung von pathophysiologischen Zuständen
US8321147B2 (en) * 2008-10-02 2012-11-27 Pioneer Hi-Bred International, Inc Statistical approach for optimal use of genetic information collected on historical pedigrees, genotyped with dense marker maps, into routine pedigree analysis of active maize breeding populations
GB201110888D0 (en) 2011-06-28 2011-08-10 Vib Vzw Means and methods for the determination of prediction models associated with a phenotype
KR20150100651A (ko) 2012-10-30 2015-09-02 리컴비네틱스 인코포레이티드 동물의 성적 성숙 조절
DK2813141T4 (en) 2013-06-14 2019-03-18 Keygene Nv Targeted strategies to improve phenotypic traits
AU2014370029B2 (en) 2013-12-27 2020-05-28 Pioneer Hi-Bred International, Inc. Improved molecular breeding methods
WO2015155607A2 (en) 2014-03-13 2015-10-15 Sg Biofuels, Limited Compositions and methods for enhancing plant breeding

Also Published As

Publication number Publication date
BR112017012891B1 (pt) 2024-01-23
AU2015362942A1 (en) 2017-06-08
US20170359978A1 (en) 2017-12-21
WO2016100061A1 (en) 2016-06-23
AR103075A1 (es) 2017-04-12
AU2015362942B2 (en) 2022-02-17
CN107205352A (zh) 2017-09-26
MX2017007712A (es) 2017-10-27
BR112017012891A2 (pt) 2018-01-30
US11980147B2 (en) 2024-05-14
CA2968120A1 (en) 2016-06-23

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