Soybean Cultivar Trait Stacking for Stable Yield and Resistance

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Solution Overview

Problem

Existing soybean cultivars lack improved traits such as higher seed yield, disease resistance, drought tolerance, and altered fatty acid profiles, which are essential for enhancing agricultural productivity and nutritional value.

Innovation Solution

Development of a new soybean cultivar (27230068) with genetically engineered traits for herbicide resistance, disease tolerance, and modified fatty acid composition, achieved through methods like backcrossing and genetic transformation, utilizing expression vectors and promoters to introduce specific genetic elements.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional breeding methods are used to combine desirable traits, then the cultivar achieves improved traits such as disease resistance and yield, but the development process becomes time-consuming and resource-intensive

Engineering Contradiction:
Improvetrait stabilityVSAvoidbreeding cycle time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent applies preliminary action by pre-selecting parental lines with specific desirable traits (disease resistance, yield potential, fatty acid profile) before crossing. The breeding program is carefully planned and structured in advance with defined objectives, allowing systematic integration of multiple traits rather than discovering them through random breeding over time.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The breeding process is segmented into distinct phases: parental selection, controlled crossing, progeny evaluation, and cultivar development. Each phase targets specific traits and uses appropriate selection criteria, allowing efficient progression through the breeding pipeline while maintaining focus on integrating multiple desirable characteristics systematically.

Inventive Principle:
Principle #1Segmentation

2Adaptability or versatility

If multiple desirable traits are integrated into a single cultivar, then the overall cultivar performance improves, but the breeding program complexity increases

Engineering Contradiction:
Improvecultivar trait combinationVSAvoidbreeding program complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent merges multiple desirable traits from different parental lines into a single cultivar through controlled crossing. Specific traits including disease resistance, yield potential, and fatty acid profile are combined in the soybean cultivar, creating a unified genotype that expresses multiple improved characteristics simultaneously.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The breeding program applies local quality by selecting parental lines with specific local traits (e.g., resistance to particular diseases, specific fatty acid compositions) and combining them in a coordinated manner. Each parent contributes specific localized improvements that are integrated into the overall cultivar performance.

Inventive Principle:
Principle #3Local quality

3Productivity

If precise forward planning is implemented to improve resource efficiency, then resource utilization improves, but the breeding program requires more structured constraints

Engineering Contradiction:
Improvebreeding efficiencyVSAvoidprogram structure
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The breeding program implements preliminary action through detailed forward planning that defines objectives, selects parental lines, and structures the crossing program before execution. This advance planning improves resource efficiency by preventing unnecessary crosses and focusing efforts on combinations most likely to achieve the desired trait integration.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The breeding program incorporates feedback mechanisms by evaluating progeny performance against predefined objectives and using this information to guide subsequent crossing decisions. This feedback loop allows the program to remain structured and efficient while adapting to actual results, maintaining productivity through informed decision-making.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS12628784B2Soybean cultivar 27230068
Publication Date: 2026.05.19 MONSANTO TECHNOLOGY LLC

AI summary

A soybean cultivar designated 27230068 is disclosed. The invention relates to the seeds of soybean cultivar 27230068, to the plants of soybean cultivar 27230068, to the plant parts of soybean cultivar 27230068, and to methods for producing progeny of soybean cultivar 27230068. The invention also relates to methods for producing a soybean plant containing in its genetic material one or more transgenes and to the transgenic soybean plants and plant parts produced by those methods. The invention also relates to soybean cultivars or breeding cultivars, and plant parts derived from soybean cultivar 27230068. The invention also relates to methods for producing other soybean cultivars, lines, or plant parts derived from soybean cultivar 27230068, and to the soybean plants, varieties, and their parts derived from use of those methods. The invention further relates to hybrid soybean seeds, plants, and plant parts produced by crossing cultivar 27230068 with another soybean cultivar.