Soybean Variety DLL1347 Breeding Stability
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Solution Overview
Problem
Soybean breeding faces challenges in predicting phenotypic expression due to genetic complexity and environmental factors, making it difficult to reproduce stable, high-yielding varieties consistently.
Innovation Solution
Development of the soybean variety DLL1347, which includes methods for selfing, backcrosses, and hybrid production, along with genetic transformation to introduce traits like herbicide resistance, disease resistance, and enhanced nutritional quality, using techniques such as microprojectile-mediated delivery and Agrobacterium-mediated transformation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional breeding methods are used, then breeding process is simple, but phenotypic expression cannot be predicted and variety stability is low
Solution Approach 1:
The patent applies preliminary action by establishing a standardized breeding protocol that pre-defines the selection criteria, crossing schemes, and evaluation parameters before the breeding process begins. This includes pre-establishing the parent lines with known genetic characteristics and pre-planning the multi-generational selection strategy, which enables predictable phenotypic expression while maintaining systematic control over the breeding complexity.
Solution Approach 2:
The patent implements feedback mechanisms through continuous phenotypic evaluation and genetic analysis at multiple stages of the breeding process. Performance data from trial plots and molecular markers are fed back to adjust selection decisions, refine crossing schemes, and modify breeding directions, thereby improving variety stability while managing the complexity through data-driven decision making.
2Manufacturing precision
If genetic engineering techniques are applied, then trait precision is improved, but manufacturing complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the genetic modification process into distinct, manageable modules: gene identification, gene construction, vector preparation, transformation, and selection. Each module can be independently optimized and controlled, enabling precise trait introduction while reducing overall process complexity through systematic decomposition of the genetic engineering workflow.
Solution Approach 2:
The patent uses intermediary elements such as transformation vectors and selectable markers as mediators between the desired genetic trait and the soybean plant. These intermediaries facilitate the transfer and expression of foreign genes while providing controllable selection mechanisms, thereby achieving precise trait introduction with manageable procedural complexity.
3Reliability
If multiple breeding generations are conducted, then variety stability is improved, but time consumption increases
Solution Approach 1:
The patent applies preliminary action by pre-selecting and characterizing parent lines with desirable traits before initiating the main breeding cycle. Molecular markers and genomic information are used to identify and stabilize parent germplasm in advance, which reduces the number of generations required and accelerates the overall breeding timeline while maintaining variety stability through controlled multi-generational selection.
Solution Approach 2:
The patent implements continuous useful action through overlapping breeding operations, where selection, crossing, and evaluation activities proceed simultaneously across different generations rather than sequentially. This includes concurrent field testing of advanced lines and parallel molecular characterization, which maintains steady progress toward variety stabilization without idle time, thereby reducing total breeding cycle duration.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Soybean variety DLL1347 demonstrates stability and superior characteristics, enabling the production of high-yielding, disease-resistant, and nutritionally enhanced soybean plants through controlled breeding and genetic modification.
Implementation Method 1
The transferred gene(s) may be introduced into the soybean plant through genetic engineering techniques such as microprojectile-mediated delivery
Implementation Method 2
The transferred gene(s) may be introduced into the soybean plant through genetic engineering techniques such as Agrobacterium-mediated transformation
Data Source
AI summary
The soybean variety DLL1347 is disclosed. The invention relates to seeds, plants, plant cells, plant tissue, harvested products and soybean lint as well as to hybrid soybean plants and seeds obtained by repeatedly crossing plants of variety DLL1347 with other plants. The invention also relates to plants and varieties produced by the method of essential derivation from plants of DLL1347 and to plants of DLL1347 reproduced by vegetative methods, including but not limited to tissue culture of regenerable cells or tissue from DLL1347.