Advanced Maize Hybrid: AI-Optimized Genetic Innovation

Publication ID: 24-11856908_0006_PTD

Published: October 26, 2025

Category:Direct Improvements & Enhancements

Legal Citation

pr1or.art Inc., “Advanced Maize Hybrid: AI-Optimized Genetic Innovation,” Published Technical Disclosure No. 24-11856908_0006_PTD, Published October 26, 2025, available at https://archive.pr1or.art/24-11856908_0006_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. 11,856,908.

Background and Problem Solved

The original patent, 'Maize hybrid X00R828', has limitations in terms of disease resistance, drought tolerance, and environmental impact. The present invention addresses these limitations by introducing novel genetic modifications, machine learning-based trait optimization, and predictive modeling for fertilizer application.

Novelty and Inventive Step

The new claims introduce novel genetic modifications, machine learning-based trait optimization, and predictive modeling for fertilizer application, which are not obvious from the original patent. The combination of these elements provides a non-obvious solution to the limitations of the original patent.

Alternative Embodiments and Variations

Alternative embodiments may include the use of different machine learning algorithms, genetic modifications, or predictive modeling approaches. Variations may also include the application of this invention to other crop species or the integration with existing breeding programs.

Potential Commercial Applications and Market

The invention has significant commercial potential in the agricultural industry, particularly in the development of high-yielding, disease-resistant, and drought-tolerant maize hybrids. The target market includes maize breeding companies, farmers, and agricultural suppliers.

CPC Classifications

Section	Class	Group
A	A01	A01H6/4684
A	A01	A01H5/08
A	A01	A01H5/10

Section 103 Obviousness Analysis (PHOSITA)

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Field of Art

Plant Breeding and Agricultural Biotechnology, focusing on maize hybrid development, genetic modification, and computational breeding techniques. Ordinary skill involves advanced degrees in plant genetics, biotechnology, or agricultural science with expertise in genetic engineering, machine learning, and crop improvement methodologies.

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with knowledge of molecular breeding techniques, CRISPR genome editing, machine learning applications in agriculture, and computational trait optimization strategies. Familiar with genetic variation analysis, phenotypic selection, and advanced breeding technologies.

Obviousness Rationale

The published technical disclosure represents predictable extensions of the source patent's core breeding methodology by applying known computational and genetic engineering techniques to maize hybrid development. A person of ordinary skill would recognize these variations as logical progressions of existing breeding technologies, utilizing standard techniques for trait enhancement and computational optimization. The disclosed modifications represent incremental improvements using established methodological approaches within agricultural biotechnology.

Obvious Combinations & Variations

Source Patent Element

Hybrid maize variety development through specific parental line crossing

PTD Variation

Introduction of machine learning algorithms for trait optimization and selection

Obviousness Reasoning

Computational trait selection is a known technique in plant breeding, representing a predictable application of machine learning to existing breeding methodologies

Source Patent Element

Genetic modification potential indicated in original patent claims

PTD Variation

CRISPR-Cas9 genome editing for drought tolerance enhancement

Obviousness Reasoning

CRISPR technology is a standard genetic modification technique, and drought tolerance is a well-recognized target for crop improvement

Source Patent Element

Hybrid development focusing on agronomic trait improvement

PTD Variation

Computer vision phenotyping system for automated trait measurement

Obviousness Reasoning

Automated phenotyping represents a predictable technological progression in plant breeding, utilizing standard image analysis and machine learning techniques

Source Patent Element

Hybrid variety development with potential environmental considerations

PTD Variation

Predictive modeling for reduced nitrogen fertilizer application

Obviousness Reasoning

Environmental optimization through computational modeling is a known approach in agricultural science, representing an obvious extension of existing breeding strategies

35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11856908 and the accompanying published technical disclosure, the claimed variations represent obvious extensions of existing maize breeding technologies. A person having ordinary skill in agricultural biotechnology would recognize these modifications as predictable combinations of known genetic engineering, computational, and breeding techniques, thereby rendering subsequent patent claims obvious and anticipating potential novel technology assertions.

Original Patent Information

Patent Number	US 11,856,908
Title	Maize hybrid X00R828
Assignee(s)	PIONEER HI-BRED INTERNATIONAL, INC.