Soybean Variety D4311702 Breeding for Yield and Disease Resistance
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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, which requires precise planning and significant resources without guaranteed results.
Innovation Solution
The soybean variety D4311702 is developed through a breeding program that includes crossing, selfing, and selection, utilizing techniques like backcrossing and genetic transformation to introduce desired traits like herbicide resistance, disease resistance, and improved nutritional quality, while maintaining the morphological and physiological characteristics of the parent variety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional breeding methods are used to combine desirable traits, then genetic diversity and adaptability are improved, but the breeding process becomes time-consuming and unpredictable
Solution Approach 1:
The patent applies preliminary action by pre-selecting parental lines with specific desirable traits (herbicide resistance, disease resistance, yield characteristics) before initiating the breeding program. This advance preparation and selection of parents with known genotypes reduces the time required for trait combination while maintaining genetic diversity and adaptability in the resulting variety.
2Productivity
If multiple traits are combined in a single variety, then overall value and productivity are improved, but the complexity of inheritance and breeding difficulty increase
Solution Approach 1:
The patent applies segmentation by dividing the breeding process into distinct stages: selecting parental lines with specific traits, performing controlled crosses, evaluating F1 and F2 generations for trait inheritance, and advancing only promising lines. This segmented approach manages the complexity of combining multiple traits (herbicide resistance, disease resistance, yield) by handling each trait combination systematically rather than simultaneously.
Solution Approach 2:
The patent applies parameter changes by modifying breeding parameters such as selection criteria, evaluation methods, and generation advancement protocols to efficiently combine multiple traits. By adjusting these parameters based on observed inheritance patterns and trait expression, the breeding program achieves high productivity while managing the inherent complexity of multi-trait combination.
3Reliability
If superior individuals are identified through observation, then genetic quality is improved, but the true genotypic value remains masked by environmental factors
Solution Approach 1:
The patent applies feedback by implementing multi-environment testing and replicated evaluations of breeding lines. Performance data from different locations and years are fed back into the selection process, allowing breeders to distinguish true genotypic value from environmental effects. This feedback mechanism improves reliability of genetic quality assessment while enhancing measurement precision through statistical analysis of replicated observations.
Data Source
AI summary
The invention relates to the soybean variety designated D4311702. Provided by the invention are the seeds, plants and derivatives of the soybean variety D4311702. Also provided by the invention are tissue cultures of the soybean variety D4311702 and the plants regenerated therefrom. Still further provided by the invention are methods for producing soybean plants by crossing the soybean variety D4311702 with itself or another soybean variety and plants produced by such methods.