Soybean Variety D4422957 Breeding via Genomic Selection

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Solution Overview

Problem

The development of new soybean varieties is a time-consuming and unpredictable process due to the complexity of combining desirable traits such as higher seed yield, disease resistance, and environmental adaptability, with conventional breeding methods lacking control over genetic combinations and requiring extensive resources and time.

Innovation Solution

The soybean variety D4422957 is developed through specific breeding methods, including crossing and selection techniques, which allows for the introduction of desirable traits like herbicide resistance, disease resistance, and improved nutritional quality, and can be used in breeding programs to produce hybrid seeds and plants with consistent physiological and morphological characteristics.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If conventional breeding methods are used to combine desirable traits, then genetic diversity and adaptability are improved, but the breeding process becomes time-consuming and unpredictable

Engineering Contradiction:
ImproveadaptabilityVSAvoidbreeding time
Core Design Contradiction:
Adaptability or versatilityVSLoss of time

Solution Approach 1:

The patent replaces conventional mechanical breeding methods (manual crossing, selection, and evaluation) with molecular marker technology and genomic selection. This substitution allows breeders to predict genetic outcomes before actual crossing occurs, dramatically reducing the time required to develop new varieties while maintaining genetic diversity and adaptability through informed selection of parental combinations.

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

Solution Approach 2:

The patent employs preliminary genetic evaluation using molecular markers and genomic data to assess potential parental lines before actual crossing. This preliminary action identifies the most promising genetic combinations in advance, allowing breeders to focus resources on selected crosses rather than evaluating all possible combinations, thereby reducing overall breeding time while preserving adaptability.

Inventive Principle:
Principle #10Preliminary action

2Reliability

If extensive breeding programs are conducted to develop new varieties, then trait improvement is achieved, but resource expenditure increases

Engineering Contradiction:
Improvetrait improvementVSAvoidresource expenditure
Core Design Contradiction:
ReliabilityVSQuantity of substance

Solution Approach 1:

The patent replaces resource-intensive field trials and phenotypic evaluation with molecular marker-based prediction systems. This substitution maintains reliable trait improvement by accurately identifying desirable genetic combinations in the lab, thereby reducing the need for extensive field testing and associated resource expenditure while still achieving reliable variety development.

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

Solution Approach 2:

The patent applies partial action by focusing breeding efforts on a select few highly promising parental combinations identified through genomic prediction, rather than conducting extensive breeding programs with many crosses. This targeted approach achieves reliable trait improvement by concentrating resources on the most genetically promising combinations, reducing overall resource expenditure while maintaining improvement reliability.

Inventive Principle:
Principle #16Partial or excessive action

3Manufacturing precision

If traditional selection methods are used to identify superior plants, then genetic quality is improved, but the process requires large populations and multiple locations

Engineering Contradiction:
Improvegenetic qualityVSAvoidbreeding program complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent replaces traditional phenotypic selection methods with molecular marker-based genomic prediction. This substitution improves genetic quality assessment precision by directly measuring genetic potential rather than observing phenotypic expressions, thereby reducing the need for large population sizes and multi-location trials while maintaining or improving selection accuracy.

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

Solution Approach 2:

The patent transitions from phenotypic selection (observable traits) to genotypic selection (molecular markers and genomic data). This dimensional change in the selection approach allows for more precise genetic quality assessment without requiring large population sizes or complex multi-location field programs, as genetic potential can be evaluated directly at the molecular level.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Data Source

PatentUS7629506B2Soybean variety D4422957
Publication Date: 2009.12.08 MONSANTO TECHNOLOGY LLC

AI summary

The invention relates to the soybean variety designated D4422957. Provided by the invention are the seeds, plants and derivatives of the soybean variety D4422957. Also provided by the invention are tissue cultures of the soybean variety D4422957 and the plants regenerated therefrom. Still further provided by the invention are methods for producing soybean plants by crossing the soybean variety D4422957 with itself or another soybean variety and plants produced by such methods.