Soybean D4696658 Genomic Selection Breeding
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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 like disease resistance, yield, and environmental adaptability, making it challenging for breeders to consistently produce superior varieties using conventional breeding methods.
Innovation Solution
The soybean variety D4696658 is developed through specific breeding methods, including crossing and selection techniques, which allows for the introduction of desirable traits such as herbicide resistance, disease resistance, and improved nutritional quality, and can be used in various breeding protocols to produce hybrid seeds and new varieties.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional breeding methods are used to combine desirable traits, then genetic diversity and adaptability are improved, but the process becomes time-consuming and unpredictable
Solution Approach 1:
The patent applies preliminary action by pre-establishing a genomic selection index and reference population before the actual breeding process. The reference population is genotyped and phenotyped in advance to create a foundation for predicting breeding values, thereby reducing the time needed for traditional multi-generation breeding cycles while maintaining adaptability through data-driven selection.
Solution Approach 2:
The patent replaces the mechanical/conventional breeding system with a genomic selection system. Instead of relying on traditional phenotypic selection and multi-generation crossing, the invention uses genomic data, statistical models, and predictive algorithms to select parent lines and predict offspring performance, significantly reducing breeding time while maintaining or improving adaptability.
2Adaptability or versatility
If conventional breeding methods are used to combine desirable traits, then genetic diversity is improved, but the process becomes unpredictable
Solution Approach 1:
The patent implements feedback mechanisms through continuous monitoring of genomic data and phenotypic expressions in the reference population. Breeding values are calculated based on observed performance and genomic markers, providing feedback that refines selection criteria for subsequent generations, thereby increasing predictability while maintaining genetic diversity through systematic evaluation.
Solution Approach 2:
The patent substitutes unpredictable conventional breeding with a genomic selection system that uses molecular markers and statistical models to predict trait inheritance. This allows for more reliable prediction of offspring performance based on genomic data, reducing the unpredictability inherent in traditional breeding while preserving genetic diversity through controlled selection.
3Productivity
If multiple desirable traits are combined in a single variety, then agricultural productivity is improved, but the breeding complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the complex breeding problem into separate trait components, each evaluated independently through genomic markers and phenotypic data. The genomic selection index weights different traits (yield, quality, disease resistance) separately, allowing breeders to manage complexity by addressing each trait through specific genetic markers rather than attempting to control all traits simultaneously.
Solution Approach 2:
The patent replaces complex manual breeding operations with a genomic selection system that uses molecular markers to track and select for multiple desirable traits simultaneously. This substitution reduces breeding complexity by using objective genomic data and statistical models to guide selection, making the management of multiple traits more systematic and less prone to human error.
4Measurement precision
If replicated observations are made to estimate genetic worth, then selection accuracy is improved, but the time and resources required increase
Solution Approach 1:
The patent substitutes traditional replicated phenotypic observations with genomic data collection and analysis. By using molecular markers and genomic sequencing, the system can estimate genetic worth more accurately and efficiently, reducing the number of replicated field observations needed while maintaining or improving selection accuracy through direct genetic information.
Solution Approach 2:
The patent changes the measurement parameter from phenotypic performance (which requires repeated observations) to genomic data (which can be obtained once and used for prediction). This parameter change allows for accurate genetic worth estimation without the time-consuming replicated field trials, as genomic markers provide direct information about genetic potential.
Data Source
AI summary
The invention relates to the soybean variety designated D4696658. Provided by the invention are the seeds, plants and derivatives of the soybean variety D4696658. Also provided by the invention are tissue cultures of the soybean variety D4696658 and the plants regenerated therefrom. Still further provided by the invention are methods for producing soybean plants by crossing the soybean variety D4696658 with itself or another soybean variety and plants produced by such methods.