Published Technical Disclosure Archive

Advanced Soybean Yield Gene Manipulation Technology

Publication ID: 24-11856903_0002_PTD
Published: October 26, 2025
Category:New Applications & Use Cases

Legal Citation

pr1or.art Inc., “Advanced Soybean Yield Gene Manipulation Technology,” Published Technical Disclosure No. 24-11856903_0002_PTD, Published October 26, 2025, available at https://archive.pr1or.art/24-11856903_0002_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. 11,856,903.

Background and Problem Solved

The original patent, 'Methods for manipulating yield of plants and identifying yield genes', primarily focused on enhancing seed yield in soybean plants. However, the limitations of this patent lie in its narrow application scope. This new invention addresses the problem of underutilization of soybean yield technology by expanding its applicability to diverse industries, thereby increasing its commercial potential.

Novelty and Inventive Step

The novelty of this invention lies in its strategic expansion of the original patent's technology into new industries, thereby creating non-obvious and innovative solutions. The inventive step is the recognition of the potential for soybean yield technology to be adapted and applied to a wide range of applications, resulting in significant commercial and environmental benefits.

Alternative Embodiments and Variations

Alternative embodiments of this invention could include integrating soybean yield technology with other crop species, exploring additional industrial applications such as bioplastics or pharmaceuticals, or developing new software platforms for data analytics and decision support. Variations of the invention could involve different types of sensors, machine learning algorithms, or catalysts, further broadening the scope of the technology.

Potential Commercial Applications and Market

The commercial potential of this invention is substantial, with applications in multiple industries, including aquaculture, biofuels, agriculture, and textiles. The target market includes companies and organizations operating in these industries, as well as governments and research institutions seeking to promote sustainable development and environmental stewardship.

CPC Classifications

SectionClassGroup
A A01 A01H3/02
A A01 A01H5/10
A A01 A01H6/542

Field of Art

Agricultural biotechnology and plant science, focusing on crop yield optimization, with expertise in plant genetics, environmental manipulation, and agricultural systems engineering

Person of Ordinary Skill (PHOSITA) Profile

A professional with advanced degree in agricultural science or plant biotechnology, familiar with crop yield enhancement techniques, environmental control systems, and interdisciplinary agricultural technology applications

Obviousness Rationale

A PHOSITA would recognize that the source patent's fundamental insights about soybean yield manipulation provide a clear technological foundation for extending the principles into adjacent agricultural and industrial domains. The disclosed variations represent predictable applications of known yield optimization techniques to different technological contexts. The systematic approach of monitoring environmental conditions, controlling growth parameters, and predicting yield is directly transferable across multiple technological domains.

Obvious Combinations & Variations

Source Patent Element
Method for manipulating soybean plant yield through controlled light and temperature conditions
PTD Variation
Applying yield optimization principles to aquaculture feed production using sensor and control modules
Obviousness Reasoning
A PHOSITA would find it obvious to transfer yield prediction and environmental control techniques from plant science to aquaculture, as both involve systematic biological optimization
Source Patent Element
Techniques for restricting vegetative growth and enhancing flowering in soybean plants
PTD Variation
Using machine learning and drone-mounted sensors for precision agriculture yield prediction
Obviousness Reasoning
Extending plant monitoring techniques through advanced sensing technologies represents a predictable technological progression for a skilled practitioner
Source Patent Element
Methods for manipulating environmental conditions to optimize plant growth
PTD Variation
Developing biofuel production methods using catalytic treatment of soybean oil
Obviousness Reasoning
Transforming agricultural biomass into industrial products is a well-established approach that would be obvious to a PHOSITA familiar with biotechnological conversion processes
Source Patent Element
Detailed understanding of soybean plant growth parameters and yield factors
PTD Variation
Creating sustainable textiles by extracting and processing cellulose from soybean plants
Obviousness Reasoning
Exploring alternative material applications from agricultural biomass represents a standard innovation strategy in biotechnology
Source Patent Element
Comprehensive approach to monitoring and controlling plant growth conditions
PTD Variation
Developing greenhouse gas emission monitoring systems using agricultural yield data
Obviousness Reasoning
Integrating environmental monitoring with agricultural data management is a predictable technological extension for addressing sustainability challenges
35 U.S.C. § 103 Summary: Based on US Patent 11856903's comprehensive disclosure of soybean yield manipulation techniques, a person of ordinary skill in the art would find the variations disclosed herein to be obvious extensions of the foundational technological principles. The systematic approach to environmental control, yield prediction, and biotechnological transformation demonstrates that the claimed innovations represent predictable applications of known scientific methodologies across multiple technological domains.

Original Patent Information

Patent NumberUS 11,856,903
TitleMethods for manipulating yield of plants and identifying yield genes
Assignee(s)MONSANTO TECHNOLOGY LLC