Monsanto Technology LLC

The Climate Corporation

Mendel Biotechnology, Inc.

Monsanto Company

Thomas Gene Ruff

Robert J Meister

Marie E Petracek

Oliver J Ratcliffe

T Lynne Reuber

Robert A Creelman

Doug Sauder

Jason Kendrick Bull

Neal I Gutterson

Nicholas Charles Cizek

Brandon Rinkenberger

Qingzhang Xu

Kimberly Faye Zobrist Duff

Susanne Kjemtrup-Lovelace

Stanton B Dotson

Richard Eric Cerny

R Eric Cerny

Targolli L Jayaprakash

Carolyn J Thai

Kottaram Krishnadas Narayanan

Kimberly Faye Duff

Ganesh M Kishore

Tonya S Ehlmann

Timothy Reich

Morrison Jacobs

Allan Trapp

Santanu Dasgupta

Moslem Ladoni

Daniel Williams

Aaron E Robinson

Christina Bogdan

Vincent Jean-Marie Armel Arondel

Susan Irma Gibson

Christopher Roland Somerville

Barry S Goldman

Balasulojini Karunanandaa

Virginia Ursin

Deborah J Hawkins

Mark Scott Abad

Jeffrey E Ahrens

Jingrui Wu

Paolo Castiglioni

Beth Savidge

Paul J Loida

Wei Zheng

Karen Gabbert

Todd DeZwaan

Michael D Edgerton

Donald E Nelson

Molian Deng

Stephen M Duff

Jill Deikman

Richard Johnson

Zhidong Xie

Steve Sichuan He

Steven H Schwartz

Erin Bell

Jaishree M Chittoor-Vijayanath

Jindong Sun

Dhanalakshmi Ramachandra

Savitha Madappa

Bradon James Fabbri

Paul C Feng

Monica P Ravanello

Xianfeng Chen

Obed Patty

Robert J Bensen

Srikanth Babu Venkatachalayya

Garrett J Lee

Maureen Daley

Kammaradi R Vidya

Jason Fenner

Ming Peng

Anand Pandravada

Rajani Monnanda Somaiah

Rick A Sanders

Padmini Sudarshana

Rebecca L Thompson-Mize

Dale L Vai

Tymagondlu V Venkatesh

K Vijayalakshmi

Todd C Weber

Hunter Merrill

Santana Dasgupta

Alice Clara Augustine

Shobha Char

Susanne Kjemtrup-lovelace

Santana 101 Spoorthy Apartment Dasgupta

Kottaram K Narayanan

T L Jayaprakash

A system for implementing a trial a field is provided. In an embodiment, the system is configured to generate a trial recommendation for a field and, based on field data for the field, compute a yield probabilities for the field. The system is also configured to generate a plurality of outcome-based values for the field based on the yield probabilities, compute crop values for each of the outcome-based values and a bushel per acre value, and cause display of an interface that dynamically displays each of the plurality of outcome-based values for the field based on a selected bushel per acre value. The system is further configured to receive user input changing a position of an interactive sliding widget in the interface, to change the bushel per acre value, and in response, compute a crop value for each of the outcome-based values based on the changed bushel per acre value.

Digital modeling and tracking of agricultural fields for implementing agricultural field trials

A system for implementing a trial in one or more fields is provided. In an embodiment, a agricultural intelligence computing system receives field data for a plurality of agricultural fields. Based, at least in part, on the field data for the plurality of agricultural fields, the agricultural intelligence computing system identifies one or more target agricultural fields. The agricultural intelligence computing system sends, to a field manager computing device associated with the one or more target agricultural fields, a trial participation request. The server receives data indicating acceptance of the trial participation request from the field manager computing device. The server determines one or more locations on the one or more target agricultural fields for implementing a trial and sends data identifying the one or more locations to the field manager computing device.

A system for implementing a trial in one or more fields is provided. In an embodiment, an agricultural intelligence computing system receives field data for a plurality of agricultural fields. Based, at least in part, on the field data for the plurality of agricultural fields, the agricultural intelligence computing system identifies one or more target agricultural fields. The agricultural intelligence computing system sends, to a field manager computing device associated with the one or more target agricultural fields, a trial participation request. The server receives data indicating acceptance of the trial participation request from the field manager computing device. The server determines one or more locations on the one or more target agricultural fields for implementing a trial and sends data identifying the one or more locations to the field manager computing device. When the agricultural intelligence computing system receives application data for the one or more target agricultural fields, the agricultural intelligence computing system determines whether the one or more target agricultural fields are in compliance with the trial. The agricultural intelligence computing system then receives result data for the trial and, based on the result data, computes a benefit value for the trial.

This invention provides recombinant DNA constructs, transgenic plant nuclei and cells with such recombinant DNA construct for expression of proteins that are useful for imparting enhanced agronomic trait(s) to transgenic crop plants. This invention also provides transgenic plants and progeny seed comprising the transgenic plant cells where the plants are selected for having an enhanced trait selected from the group of traits consisting of enhanced water use efficiency, enhanced cold tolerance, increased yield, enhanced nitrogen use efficiency, enhanced seed protein and enhanced seed oil. Also disclosed are methods for manufacturing transgenic seed and plants with enhanced traits.

Transgenic plants with enhanced agronomic traits

A system for implementing a trial in one or more fields is provided. In an embodiment, a system receives field data for a plurality of agricultural fields, identifies one or more target agricultural fields, and sends, to a field manager computing device associated with the one or more target agricultural fields, a trial participation request. The server receives data indicating acceptance of the trial participation request from the field manager computing device. The server determines one or more locations on the one or more target agricultural fields for implementing a trial and sends data identifying the one or more locations to the field manager computing device. When the system receives application data, the system determines whether the one or more target agricultural fields are in compliance with the trial. The system receives result data for the trial and computes a benefit value for the trial.

Polynucleotides and polypeptides incorporated into expression vectors have been introduced into plants and were ectopically expressed. The polypeptides of the invention have been shown to confer at least one regulatory activity and confer increased yield, greater height, greater early season growth, greater canopy coverage, greater stem diameter, greater late season vigor, increased secondary rooting, more rapid germination, greater cold tolerance, greater tolerance to water deprivation, reduced stomatal conductance, altered C/N sensing, increased low nitrogen tolerance, increased low phosphorus tolerance, or increased tolerance to hyperosmotic stress as compared to the control plant as compared to a control plant.

Yield and stress tolerance in transgenic plants IV

The present invention provides a method and DNA molecules that when expressed in a plant produces transgenic plants with improved abiotic stress tolerance. The invention includes plant expression vectors comprising the DNA molecules, and plants containing such DNA molecules.

Stress tolerant plants and methods thereof

Yield and stress tolerance in transgenic plants II

Transformed plants which have increased or decreased linolenic acid content are disclosed. Also disclosed are plants which express a linoleic acid desaturase gene.

Altered linolenic and linoleic acid content in plants

Yield and stress tolerance in transgenic plants

Growing community of inventors

Wildwood, MO, United States of America

Thomas Gene Ruff