Soybean XBP35012R Breeding via Preliminary Action
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current soybean breeding processes are time-consuming and resource-intensive, aiming to develop stable, high-yielding varieties with improved traits such as disease resistance, drought tolerance, and better agronomic characteristics, which can take six to twelve years from the initial cross to market-ready seed.
Innovation Solution
The development of a novel soybean variety, XBP35012R, which combines desirable traits like resistance to aerial web blight, aphid antibiosis, and improved yield, achieved through careful breeding and selection, allowing for the introduction of transgenic, mutant, or native traits, and methods for producing and characterizing soybean plants and parts derived from this variety.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional soybean breeding processes are used to develop new varieties with improved traits, then disease resistance and yield improvement are achieved, but the development time becomes excessively long (6-12 years) and resource consumption increases
Solution Approach 1:
The patent applies preliminary action by pre-screening parental lines for desired traits (disease resistance, yield characteristics) before crossing, and by using molecular markers to pre-identify promising progeny in early generations. This allows breeders to make informed selection decisions earlier in the breeding process, reducing the time required to develop new varieties while maintaining reliability of trait improvement.
2Stability of the object's composition
If extensive breeding and selection processes are conducted to ensure variety stability and uniformity, then trait consistency is improved, but the complexity and resource requirements of the breeding program increase
Solution Approach 1:
The patent implements feedback mechanisms through systematic evaluation of breeding progeny for trait consistency, using molecular marker data to monitor genetic uniformity, and adjusting selection criteria based on performance data from multi-environment trials. This feedback loop ensures trait stability is maintained while allowing the breeding program to efficiently allocate resources and manage complexity.
Data Source
AI summary
A novel soybean variety, designated XBP35012R is provided. Also provided are the seeds of soybean variety XBP35012R, cells from soybean variety XBP35012R, plants of soybean XBP35012R, and plant parts of soybean variety XBP35012R. Methods provided include producing a soybean plant by crossing soybean variety XBP35012R with another soybean plant, methods for introgressing a transgenic trait, a mutant trait, and/or a native trait into soybean variety XBP35012R, methods for producing other soybean varieties or plant parts derived from soybean variety XBP35012R, and methods of characterizing soybean variety XBP35012R. Soybean seed, cells, plants, germplasm, breeding lines, varieties, and plant parts produced by these methods and/or derived from soybean variety XBP35012R are further provided.