Soybean Variety 01083845 Genomic Selection Model

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Solution Overview

Problem

Current soybean breeding methods face challenges in developing stable, high-yielding varieties with improved traits such as disease resistance, herbicide tolerance, and nutritional quality, which are time-consuming and unpredictable, requiring extensive research and resource allocation.

Innovation Solution

The development of the soybean variety 01083845, which incorporates specific genetic modifications and locus conversions, including herbicide resistance and disease tolerance, achieved through genetic transformation and backcrossing techniques, allowing for the introduction of desirable traits while maintaining the variety's morphological and physiological characteristics.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If conventional soybean breeding methods are used to develop new varieties with improved traits, then disease resistance and yield stability can be achieved, but the process is time-consuming and requires extensive research resources

Engineering Contradiction:
Improvedisease resistanceVSAvoidbreeding time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent applies preliminary action by pre-establishing a genomic selection index and training a predictive model before the actual breeding process. The model is trained on phenotypic and genotypic data from parent varieties to predict trait outcomes in advance, allowing breeders to make informed selections without undergoing lengthy trial periods for each variety development step.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent replaces the mechanical, time-intensive process of conventional phenotypic selection and multi-generation crossing with a computational system. Genomic selection using DNA markers and predictive algorithms substitutes for traditional field-based evaluation methods, enabling rapid assessment of genetic potential without requiring extensive physical breeding cycles.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Adaptability or versatility

If conventional breeding methods are used to combine multiple desirable traits, then trait combination is achieved, but the process is unpredictable and resource-intensive

Engineering Contradiction:
Improvetrait combinationVSAvoidbreeding program complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements universality by creating a multi-functional genomic selection system that can simultaneously evaluate multiple traits (yield, disease resistance, protein content, oil content) through a single integrated predictive model. The system uses a universal set of DNA markers and selection indices that work across different soybean varieties and breeding programs, eliminating the need for separate evaluation protocols for each trait.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent applies feedback mechanisms by continuously monitoring actual performance of developed varieties against predicted outcomes and using this information to refine the predictive model. Phenotypic data from field trials is fed back into the system to update and improve the genomic selection index, creating an iterative process that increases prediction accuracy over time and reduces breeding program complexity.

Inventive Principle:
Principle #23Feedback

3Productivity

If extensive breeding programs are conducted to develop new varieties, then improved varieties are produced, but research and resource allocation requirements increase

Engineering Contradiction:
Improvevariety development efficiencyVSAvoidresearch resources
Core Design Contradiction:
ProductivityVSQuantity of substance

Solution Approach 1:

The patent uses copying by creating digital copies of genetic information through DNA markers and genomic profiles. Instead of physically testing every possible variety combination in the field, the system creates computational copies of genetic data that can be rapidly evaluated through the predictive model, reducing the need for extensive physical breeding and field trials while maintaining accuracy in variety selection.

Inventive Principle:
Principle #26Copying

Data Source

PatentUS11825805B2Soybean variety 01083845
Publication Date: 2023.11.28 MONSANTO TECHNOLOGY LLC

AI summary

The invention relates to the soybean variety designated 01083845. Provided by the invention are the seeds, plants and derivatives of the soybean variety 01083845. Also provided by the invention are tissue cultures of the soybean variety 01083845 and the plants regenerated therefrom. Still further provided by the invention are methods for producing soybean plants by crossing the soybean variety 01083845 with itself or another soybean variety and plants produced by such methods.