Advanced Soybean Breeding Tech: Next-Gen Cultivar Innovation

Publication ID: 24-11856915_0005_PTD

Published: October 26, 2025

Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Advanced Soybean Breeding Tech: Next-Gen Cultivar Innovation,” Published Technical Disclosure No. 24-11856915_0005_PTD, Published October 26, 2025, available at https://archive.pr1or.art/24-11856915_0005_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. 11,856,915.

Background and Problem Solved

The original patent for soybean cultivar 00350156 addressed the need for a new and distinctive soybean cultivar. However, traditional breeding methods have limitations in terms of speed, efficiency, and precision. The present invention solves these problems by introducing a next-generation soybean breeding and production system that leverages advanced technologies to overcome these limitations.

Novelty and Inventive Step

The present invention is novel and non-obvious in its combination of machine learning, gene editing, and robotic farming to develop high-yielding, disease-resistant, and climate-resilient soybean cultivars. The use of CRISPR-Cas9 gene editing to introduce novel traits into soybean cultivar 00350156 is a significant departure from traditional breeding methods and provides a new and innovative solution for soybean breeding.

Alternative Embodiments and Variations

Alternative embodiments of the invention could include the use of other gene editing tools, such as TALEN or ZFN, or the integration of additional technologies, such as drones or satellite imaging, to further enhance the precision and efficiency of the soybean breeding and production system.

Potential Commercial Applications and Market

The invention has significant commercial potential in the agricultural industry, particularly in the soybean market. The ability to develop high-yielding, disease-resistant, and climate-resilient soybean cultivars could increase crop yields, reduce pesticide and fertilizer use, and provide a more sustainable and resilient food supply. The invention could also be applied to other crops, such as corn, wheat, and rice, further expanding its market potential.

CPC Classifications

Section	Class	Group
A	A01	A01H6/542
A	A01	A01H5/10

Section 103 Obviousness Analysis (PHOSITA)

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Field of Art

Plant biotechnology and agricultural genetics, specifically soybean breeding and genetic modification techniques, requiring advanced degrees in plant science, genetics, or related fields with expertise in genomic analysis, gene editing, and crop improvement strategies

Person of Ordinary Skill (PHOSITA) Profile

A plant geneticist or agricultural biotechnologist with advanced training in genomic manipulation, machine learning applications in crop breeding, and familiarity with CRISPR-Cas9 gene editing technologies

Obviousness Rationale

A PHOSITA would recognize that integrating machine learning, gene editing, and precision agriculture technologies into soybean breeding represents a predictable extension of existing agricultural biotechnology practices. The combination of genomic analysis, targeted gene modification, and data-driven breeding strategies follows established technological paradigms in crop improvement. The PTD's proposed innovations represent incremental advancements that would be obvious to a skilled practitioner familiar with contemporary agricultural biotechnology approaches.

Obvious Combinations & Variations

Source Patent Element

Soybean cultivar 00350156 genetic characteristics

PTD Variation

Machine learning-driven genomic analysis and trait prediction

Obviousness Reasoning

Applying computational techniques to analyze plant genomics is a known and predictable approach for identifying genetic markers and potential improvements

Source Patent Element

Traditional soybean breeding methods

PTD Variation

CRISPR-Cas9 gene editing for targeted trait introduction

Obviousness Reasoning

Gene editing technologies are well-established for precise genetic modifications, representing a logical technological progression in crop improvement strategies

Source Patent Element

Existing soybean genetic research

PTD Variation

Integrated robotic farming and precision breeding system

Obviousness Reasoning

Combining automated technologies with genetic research is a foreseeable development in agricultural biotechnology, driven by efficiency and precision goals

Source Patent Element

Soybean cultivar genetic characterization

PTD Variation

Bioinformatics platform for genomic data analysis and breeding strategy optimization

Obviousness Reasoning

Computational tools for genetic analysis represent a standard approach in modern plant breeding, offering predictable improvements in research methodology

Source Patent Element

Traditional crop improvement objectives

PTD Variation

Machine learning-driven trait prediction for drought tolerance and yield enhancement

Obviousness Reasoning

Using computational techniques to predict and develop desirable crop traits is a well-established and obvious approach in agricultural biotechnology

35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11856915 and the technological context of contemporary agricultural biotechnology, the claimed innovations in precision soybean breeding represent obvious variations that would be readily conceived by a person having ordinary skill in the art. The integration of machine learning, gene editing, and precision agriculture technologies constitutes a predictable combination of known techniques, rendering any corresponding patent claims obvious and unpatentable under 35 U.S.C. Section 103.

Original Patent Information

Patent Number	US 11,856,915
Title	Soybean cultivar 00350156
Assignee(s)	M.S. Technologies, L.L.C.