Next-Gen Soybean Breeding: Advanced Gene Editing Tech

Publication ID: 24-11856918_0010_PTD
Published: October 26, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Next-Gen Soybean Breeding: Advanced Gene Editing Tech,” Published Technical Disclosure No. 24-11856918_0010_PTD, Published October 26, 2025, available at https://archive.pr1or.art/24-11856918_0010_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,856,918.

Background and Problem Solved

The original soybean variety 01084034, although a significant improvement in soybean breeding, still has limitations in terms of yield, disease resistance, and adaptability to changing environmental conditions. The new invention addresses these limitations by introducing a paradigm shift in soybean breeding through the integration of advanced technologies, enabling the development of next-generation soybean varieties with improved agronomic performance and sustainability.

Novelty and Inventive Step

The new claims introduce a novel combination of machine learning, gene editing, and IoT sensors in soybean breeding, which is not obvious from the original patent. The inventive step lies in the integration of these advanced technologies to create a next-generation soybean breeding platform that significantly improves agronomic performance and sustainability.

Alternative Embodiments and Variations

Alternative embodiments of the invention include the use of different machine learning algorithms, gene editing tools, and IoT sensor systems. Variations of the invention may also include the application of the platform to other crops, such as corn or wheat, or the integration of additional technologies, such as artificial intelligence or robotics, to further enhance the breeding process.

Potential Commercial Applications and Market

The next-generation soybean breeding platform has significant commercial potential in the agricultural industry, particularly in the areas of precision agriculture, gene editing, and IoT-based crop management. The target market includes soybean breeders, farmers, and agricultural companies seeking to improve the sustainability and efficiency of soybean production.

CPC Classifications

SectionClassGroup
A A01 A01H6/542
A A01 A01H5/10

Field of Art

Plant breeding and biotechnology, specifically soybean genetic improvement, involving molecular genetics, genomic selection, and advanced agricultural technologies

Person of Ordinary Skill (PHOSITA) Profile

A plant scientist with expertise in molecular breeding, genomic analysis, gene editing techniques, and computational biology, holding a PhD or equivalent professional experience in agricultural biotechnology

Obviousness Rationale

The proposed technical variations represent predictable applications of emerging biotechnology tools to soybean breeding, leveraging known machine learning, gene editing, and precision agriculture techniques to extend the foundational genetic material of soybean variety 01084034. A person skilled in the art would recognize these technological integrations as logical evolutionary steps in modern crop improvement strategies. The systematic approach of identifying genomic markers, applying computational prediction models, and utilizing gene editing represents a natural progression of existing breeding methodologies.

Obvious Combinations & Variations

Source Patent Element
Soybean variety 01084034 with specific genetic characteristics
PTD Variation
Machine learning module for predicting optimal crossing strategies using the source variety's genomic data
Obviousness Reasoning
Computational prediction of breeding outcomes is a well-established technique in plant genetics, representing a predictable application of machine learning to existing genetic information
Source Patent Element
Genetic characteristics of soybean variety 01084034
PTD Variation
CRISPR-Cas9 gene editing to introduce novel traits into the base genetic line
Obviousness Reasoning
Gene editing techniques are standard tools in modern plant breeding, with CRISPR being a known method for precise genetic modification
Source Patent Element
Base genetic material of soybean variety 01084034
PTD Variation
IoT sensor integration for precision agriculture and trait monitoring
Obviousness Reasoning
Sensor technologies and data-driven agricultural management represent standard evolutionary approaches in crop improvement technologies
Source Patent Element
Existing soybean breeding methodologies
PTD Variation
Collaborative platform for genomic information sharing and trait selection
Obviousness Reasoning
Digital platforms for genetic information management are predictable technological extensions in scientific research and breeding programs
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11856918 and the technological context of contemporary agricultural biotechnology, the proposed variations represent obvious modifications to existing soybean breeding techniques. A person having ordinary skill in the art would find the integration of machine learning, gene editing, and precision agriculture technologies into soybean variety 01084034 to be a predictable and logical extension of known scientific methodologies, thereby rendering potential patent claims obvious under 35 U.S.C. Section 103.

Original Patent Information

Patent NumberUS 11,856,918
TitleSoybean variety 01084034
Assignee(s)MONSANTO TECHNOLOGY LLC