Soybean Variety 01073330 Breeding Segmentation

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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, drought tolerance, and herbicide resistance, which are time-consuming and unpredictable, requiring extensive research and resource allocation.

Innovation Solution

The development of the soybean variety 01073330, which includes genetic modifications through single locus conversions, such as the introduction of transgenic genes for herbicide resistance and disease resistance, using techniques like genome editing and backcrossing, to produce plants with specific desirable traits.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional soybean breeding methods are used to develop new varieties with improved traits, then genetic diversity and adaptability are maintained, but the breeding process becomes time-consuming and unpredictable

Engineering Contradiction:
Improvepredictability of breeding outcomeVSAvoidbreeding cycle duration
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The breeding process is segmented into distinct phases: selecting specific parental lines with desired traits, performing controlled crosses, and evaluating progeny in systematic generations. This segmentation allows breeders to focus on specific trait improvements at each stage, making the overall process more predictable and manageable.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Parental lines are pre-selected and characterized for specific desirable traits (disease resistance, yield potential, adaptability) before crossing. This preliminary selection and preparation of parental material ensures that the breeding program starts with optimized genetic combinations, reducing the time and uncertainty in developing superior varieties.

Inventive Principle:
Principle #10Preliminary action

2Reliability

If extensive parental selection and crossing is performed to achieve multiple improved traits, then variety quality improves, but resource allocation and program complexity increase

Engineering Contradiction:
Improvequality of soybean varietyVSAvoidbreeding program complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

Different parental lines are selected for specific local qualities or traits (e.g., one parent for disease resistance, another for yield potential). By assigning specific trait improvement goals to specific parental contributions, the breeding program manages complexity through focused, trait-specific selection rather than attempting to improve all traits simultaneously.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The breeding program is designed to produce varieties that can serve multiple functions: high yield, disease resistance, and adaptability to different environments. By selecting parental lines with broad-spectrum desirable traits and using systematic crossing schemes, the program achieves multi-functional varieties while managing complexity through standardized procedures.

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

3Productivity

If traditional breeding methods are used to combine multiple traits, then genetic stability is maintained, but productivity and yield improvement are limited

Engineering Contradiction:
Improveseed yieldVSAvoidgenetic stability
Core Design Contradiction:
ProductivityVSStability of the object's composition

Solution Approach 1:

Progeny from crossing programs are systematically evaluated for both yield performance and genetic stability across multiple generations and environments. This feedback loop allows breeders to select for combinations that simultaneously achieve high productivity and maintain genetic stability, using performance data to guide subsequent breeding decisions.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The breeding program targets specific parameter changes in the progeny, such as increased seed yield, improved disease resistance levels, and enhanced adaptability. By defining specific parameter targets and selecting parental lines that can contribute to these changes, the program achieves productivity improvement while maintaining genetic stability through controlled selection criteria.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS20210029922A1Soybean variety 01073330
Publication Date: 2021.02.04 MONSANTO TECHNOLOGY LLC

AI summary

The invention relates to the soybean variety designated 01073330. Provided by the invention are the seeds, plants and derivatives of the soybean variety 01073330. Also provided by the invention are tissue cultures of the soybean variety 01073330 and the plants regenerated therefrom. Still further provided by the invention are methods for producing soybean plants by crossing the soybean variety 01073330 with itself or another soybean variety and plants produced by such methods.