Soybean Variety 01068213 Genomic Selection Breeding
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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 difficult to predict and require extensive research efforts due to the complexity of genetic combinations and environmental factors.
Innovation Solution
The development of the soybean variety 01068213, which includes specific genetic modifications and locus conversions for traits like herbicide resistance, disease resistance, and improved nutritional quality, achieved through genetic transformation and backcrossing techniques, allowing for the introduction of desired traits while maintaining the original variety's morphological and physiological characteristics.
Engineering Contradictions & Design Principles
Engineering 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 process is time-consuming and resource-intensive with unpredictable outcomes
Solution Approach 1:
The patent applies parameter changes by utilizing genomic selection and molecular markers to predict breeding outcomes before phenotypic expression occurs. By changing the approach from traditional phenotypic selection to genomic-based prediction, the breeding process achieves greater reliability and reduces the time required to develop new varieties with improved traits.
2Productivity
If multiple traits are combined in soybean varieties through conventional breeding, then agronomic performance is improved, but the complexity of genetic combinations makes trait prediction difficult
Solution Approach 1:
The patent replaces the complex mechanical process of conventional breeding with molecular and genomic tools. By using molecular markers, genomic selection indices, and computational models, the system simplifies the prediction and combination of multiple traits, reducing the complexity inherent in traditional breeding while maintaining or improving agronomic performance.
3Reliability
If extensive research and breeding efforts are invested in developing new soybean varieties, then improved disease resistance and herbicide tolerance are achieved, but the resource intensity and cost increase
Solution Approach 1:
The patent applies copying by utilizing molecular markers and genomic data to create predictive models that replicate breeding outcomes before actual field testing. This allows researchers to virtual-test multiple trait combinations and select the most promising candidates for physical breeding, significantly reducing the resources required while maintaining reliability in disease and herbicide resistance.
4Adaptability or versatility
If conventional breeding is used to introduce new traits into soybean varieties, then genetic diversity is maintained, but the unpredictability of trait expression reduces breeding efficiency
Solution Approach 1:
The patent implements feedback mechanisms through continuous genomic evaluation and molecular marker tracking throughout the breeding process. By monitoring genetic composition and phenotypic expression in real-time, the system provides feedback that allows for dynamic adjustment of breeding strategies, maintaining trait variability while dramatically improving breeding efficiency through data-driven decision-making.
Data Source
AI summary
The invention relates to the soybean variety designated 01068213. Provided by the invention are the seeds, plants and derivatives of the soybean variety 01068213. Also provided by the invention are tissue cultures of the soybean variety 01068213 and the plants regenerated therefrom. Still further provided by the invention are methods for producing soybean plants by crossing the soybean variety 01068213 with itself or another soybean variety and plants produced by such methods.