AR085702A1 - Metodos para predecir el rendimiento en plantas y aplicaciones de uso de los mismos - Google Patents
Metodos para predecir el rendimiento en plantas y aplicaciones de uso de los mismosInfo
- Publication number
- AR085702A1 AR085702A1 ARP120100739A ARP120100739A AR085702A1 AR 085702 A1 AR085702 A1 AR 085702A1 AR P120100739 A ARP120100739 A AR P120100739A AR P120100739 A ARP120100739 A AR P120100739A AR 085702 A1 AR085702 A1 AR 085702A1
- Authority
- AR
- Argentina
- Prior art keywords
- plant
- performance
- yield
- tissue
- methods
- Prior art date
Links
Classifications
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- 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
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/5097—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving plant cells
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- A—HUMAN NECESSITIES
- A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
- A01C—PLANTING; SOWING; FERTILISING
- A01C21/00—Methods of fertilising, sowing or planting
- A01C21/007—Determining fertilization requirements
-
- 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
-
- 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
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/5005—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells
- G01N33/5008—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells for testing or evaluating the effect of chemical or biological compounds, e.g. drugs, cosmetics
- G01N33/502—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells for testing or evaluating the effect of chemical or biological compounds, e.g. drugs, cosmetics for testing non-proliferative effects
- G01N33/5038—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells for testing or evaluating the effect of chemical or biological compounds, e.g. drugs, cosmetics for testing non-proliferative effects involving detection of metabolites per se
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06G—ANALOGUE COMPUTERS
- G06G7/00—Devices in which the computing operation is performed by varying electric or magnetic quantities
- G06G7/48—Analogue computers for specific processes, systems or devices, e.g. simulators
- G06G7/75—Analogue computers for specific processes, systems or devices, e.g. simulators for component analysis, e.g. of mixtures, of colours
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A40/00—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production
- Y02A40/10—Adaptation technologies in agriculture, forestry, livestock or agroalimentary production in agriculture
Landscapes
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Immunology (AREA)
- Chemical & Material Sciences (AREA)
- Biomedical Technology (AREA)
- Molecular Biology (AREA)
- Hematology (AREA)
- Urology & Nephrology (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Analytical Chemistry (AREA)
- Soil Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Pathology (AREA)
- Biochemistry (AREA)
- Food Science & Technology (AREA)
- Medicinal Chemistry (AREA)
- Biotechnology (AREA)
- Cell Biology (AREA)
- Microbiology (AREA)
- Computer Hardware Design (AREA)
- Theoretical Computer Science (AREA)
- Environmental Sciences (AREA)
- Botany (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Mathematical Physics (AREA)
- Toxicology (AREA)
- Tropical Medicine & Parasitology (AREA)
- Breeding Of Plants And Reproduction By Means Of Culturing (AREA)
- Genetics & Genomics (AREA)
- Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
- Investigating Or Analysing Biological Materials (AREA)
- Developmental Biology & Embryology (AREA)
- Micro-Organisms Or Cultivation Processes Thereof (AREA)
Abstract
La presente solicitud se refiere a los campos de agricultura, reproducción vegetal o manipulación genética en busca de plantas con mayor rendimiento, estimación de cosechas y manejo de cosechas. En particular, los métodos describen aquí métodos para predecir un rendimiento de una planta a través de la medida de metabolitos específicos, ya sea individualmente o en combinación con algún otro en un tejido reproductivo vegetal específico. Los métodos predictivos vegetales descritos aquí se pueden usar para predecir el rendimiento de poblaciones vegetales, así como para permitir prácticas de manejo de cosechas más eficientes (por ejemplo, cantidad y momento de las aplicaciones de productos químicos, o cantidad de agua de irrigación aplicada a un campo). Reivindicación 1: Un método para predecir el rendimiento en una planta, comprendiendo el método: a) tomar una muestra de tejido de inflorescencia femenino no polinizado a partir de una planta; b) medir uno o más marcadores de metabolitos del rendimiento en el tejido de a); c) comparar los niveles de marcadores de metabolitos del rendimiento medidos en b) frente a una curva de calibración, en el que la curva de calibración correlaciona el rendimiento de grano con los niveles de marcadores de metabolitos del rendimiento medidos en tejido de inflorescencia femenino no polinizado; y d) predecir el rendimiento de grano en una planta.
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201161450033P | 2011-03-07 | 2011-03-07 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| AR085702A1 true AR085702A1 (es) | 2013-10-23 |
Family
ID=46798540
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| ARP120100739A AR085702A1 (es) | 2011-03-07 | 2012-03-07 | Metodos para predecir el rendimiento en plantas y aplicaciones de uso de los mismos |
Country Status (3)
| Country | Link |
|---|---|
| US (1) | US9310354B2 (es) |
| AR (1) | AR085702A1 (es) |
| WO (1) | WO2012122199A1 (es) |
Families Citing this family (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9074234B2 (en) | 2011-03-07 | 2015-07-07 | Syngenta Participations Ag | Method of predicting crop yield using metabolic profiling |
| WO2017066353A1 (en) | 2015-10-12 | 2017-04-20 | Drone Seed Co. | Forestry information management systems and methods streamlined by automatic biometric data prioritization |
| US10212876B2 (en) | 2015-10-12 | 2019-02-26 | Droneseed Co. | Aerial deployment planting methods and systems |
| US11109523B2 (en) | 2016-08-19 | 2021-09-07 | The Regents Of The University Of California | Precision crop production-function models |
| RU2626159C1 (ru) * | 2016-09-08 | 2017-07-21 | Федеральное государственное бюджетное образовательное учреждение высшего образования "Кубанский государственный аграрный университет им. И.Т. Трубилина" | Способ прогнозирования урожайности гибридов кукурузы |
| CN107340717A (zh) * | 2017-08-23 | 2017-11-10 | 成都烈风网络科技有限公司 | 一种利用传感器网络进行水果糖度预测的系统 |
| US11562444B2 (en) * | 2017-11-09 | 2023-01-24 | Climate Llc | Hybrid seed selection and seed portfolio optimization by field |
| US11568340B2 (en) | 2017-11-09 | 2023-01-31 | Climate Llc | Hybrid seed selection and seed portfolio optimization by field |
| US11423492B2 (en) | 2017-11-21 | 2022-08-23 | Climate Llc | Computing risk from a crop damaging factor for a crop on an agronomic field |
| US20190259108A1 (en) * | 2018-02-20 | 2019-08-22 | Osram Gmbh | Controlled Agricultural Systems and Methods of Managing Agricultural Systems |
| US11861737B1 (en) | 2018-08-31 | 2024-01-02 | Climate Llc | Hybrid seed supply management based on prescription of hybrid seed placement |
| US11375656B2 (en) | 2018-11-06 | 2022-07-05 | Droneseed Co. | Remote drone configuration systems and methods |
| CN113748337A (zh) * | 2019-04-16 | 2021-12-03 | 花王株式会社 | 大豆的产量预测方法 |
| CN111175173B (zh) * | 2020-01-16 | 2022-03-01 | 河北省农林科学院农业资源环境研究所 | 一种适用于盐碱旱地苜蓿小区试验的测产方法 |
Family Cites Families (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7226783B1 (en) * | 1997-07-15 | 2007-06-05 | David Michael & Co., Inc. | Vanillin production |
| AU2002345250A1 (en) | 2001-06-22 | 2003-01-08 | Syngenta Participations Ag | Plant disease resistance genes |
| US7105654B1 (en) | 2002-01-02 | 2006-09-12 | Monsanto Technology Llc | Ethylene receptor gene from Glycine max and its use |
| US7683237B2 (en) | 2004-02-10 | 2010-03-23 | Monsanto Technology Llc | Maize seed with synergistically enhanced lysine content |
| AR051833A1 (es) | 2004-11-12 | 2007-02-14 | Pioneer Hi Bred Int | Histidina quinasas con actividad sensora de citoquinina y metodos de uso de las mismas en plantas y celulas vegetales |
| US8071840B2 (en) | 2005-09-15 | 2011-12-06 | Cropdesign N.V. | Plants having increase yield and method for making the same |
| CN101522901A (zh) | 2006-10-05 | 2009-09-02 | 纳幕尔杜邦公司 | 玉米微rna序列 |
| EP2985353A1 (en) * | 2006-10-12 | 2016-02-17 | Monsanto Technology LLC | Plant micrornas and methods of use thereof |
| EP1936370A1 (en) * | 2006-12-22 | 2008-06-25 | Max-Planck-Gesellschaft zur Förderung der Wissenschaften e.V. | Determination and prediction of the expression of traits of plants from the metabolite profile as a biomarker |
| US9000260B2 (en) | 2009-03-23 | 2015-04-07 | The Salk Institute For Biological Studies | ETP1 and ETP2 regulate plant ethylene response |
| US9074234B2 (en) | 2011-03-07 | 2015-07-07 | Syngenta Participations Ag | Method of predicting crop yield using metabolic profiling |
-
2012
- 2012-03-07 WO PCT/US2012/027944 patent/WO2012122199A1/en active Application Filing
- 2012-03-07 AR ARP120100739A patent/AR085702A1/es unknown
- 2012-03-07 US US14/002,250 patent/US9310354B2/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| US9310354B2 (en) | 2016-04-12 |
| US20140189903A1 (en) | 2014-07-03 |
| WO2012122199A1 (en) | 2012-09-13 |
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| FB | Suspension of granting procedure |