Advanced Drought-Resistant Soybean Cultivar 01140108

Publication ID: 24-11856914_0006_PTD
Published: October 26, 2025
Category:Direct Improvements & Enhancements

Legal Citation

pr1or.art Inc., “Advanced Drought-Resistant Soybean Cultivar 01140108,” Published Technical Disclosure No. 24-11856914_0006_PTD, Published October 26, 2025, available at https://archive.pr1or.art/24-11856914_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. 11,856,914.

Background and Problem Solved

The original soybean cultivar 01140108, while possessing desirable traits, is limited by its susceptibility to drought and Brown Stem Rot, resulting in reduced yields. The present invention addresses these limitations by introducing targeted genetic modifications and selection methods to improve the cultivar's performance under stress conditions.

Novelty and Inventive Step

The present invention's novelty lies in the combination of genetic modifications, marker-assisted selection, and machine learning algorithms to improve soybean cultivar 01140108's performance under stress conditions, providing a significant and non-obvious advancement over the original patent.

Alternative Embodiments and Variations

Alternative embodiments of the invention may include the use of CRISPR-Cas9 gene editing for precise genetic modifications, the incorporation of additional stress tolerance genes, or the development of new machine learning algorithms for predicting breeding success. Variations of the invention may also involve the application of similar techniques to other soybean cultivars or crops.

Potential Commercial Applications and Market

The enhanced soybean cultivar 01140108 has significant commercial potential in the agricultural industry, particularly in regions prone to drought and Brown Stem Rot. The invention's improved yield, water-use efficiency, and disease resistance will appeal to farmers, seed companies, and agricultural technology providers, offering a competitive advantage in the market.

CPC Classifications

SectionClassGroup
A A01 A01H6/542
A A01 A01H5/10

Field of Art

Plant Biotechnology and Agricultural Genetics, specifically soybean breeding and genetic modification techniques, requiring advanced degrees in plant science, molecular biology, or agricultural genetics with expertise in genetic engineering, marker-assisted selection, and crop improvement strategies

Person of Ordinary Skill (PHOSITA) Profile

A plant geneticist with advanced training in molecular breeding techniques, familiar with CRISPR gene editing, marker-assisted selection, machine learning applications in crop improvement, and comprehensive understanding of soybean genomics and stress response mechanisms

Obviousness Rationale

The PTD's disclosed variations represent predictable extensions of the source patent's foundational soybean cultivar 01140108, utilizing standard biotechnological techniques well-established in agricultural genetics. A PHOSITA would recognize that genetic modifications for stress tolerance, marker-assisted selection, and computational breeding optimization are routine methodologies in crop improvement. The proposed innovations represent incremental advancements using known techniques that would be obvious to apply to an existing cultivar with the reasonable expectation of enhanced performance.

Obvious Combinations & Variations

Source Patent Element
Soybean cultivar 01140108 with defined genetic characteristics
PTD Variation
Genetic modification to enhance abiotic stress tolerance using CRISPR-Cas9
Obviousness Reasoning
Genome editing techniques are standard practice in crop improvement, and stress tolerance genes are well-characterized in soybean research. A PHOSITA would find it obvious to apply precise genetic modifications to improve an existing cultivar's performance.
Source Patent Element
Basic breeding methodology for soybean cultivar
PTD Variation
Marker-assisted selection to reduce breeding cycles and increase BU/A
Obviousness Reasoning
Marker-assisted selection is a known and predictable technique for accelerating crop breeding, representing a standard approach for improving genetic traits with a high likelihood of success.
Source Patent Element
Original soybean cultivar genetic profile
PTD Variation
Machine learning algorithm for predicting cross-pollination success
Obviousness Reasoning
Computational methods for breeding optimization are increasingly standard in agricultural genetics, representing a predictable application of machine learning to existing breeding techniques.
Source Patent Element
Base genetic characteristics of soybean cultivar 01140108
PTD Variation
Genome-wide association studies to identify disease resistance mutations
Obviousness Reasoning
Identifying disease-resistant genetic variations through comprehensive genomic analysis is a routine and expected approach in crop improvement, particularly for well-characterized cultivars.
Source Patent Element
Initial soybean cultivar genetic composition
PTD Variation
Expressing drought-responsive transcription factors to enhance water-use efficiency
Obviousness Reasoning
Genetic engineering to improve stress response is a predictable and well-established technique in plant biotechnology, representing an obvious extension of existing genetic knowledge.
35 U.S.C. § 103 Summary: Pursuant to 35 U.S.C. ยง 103, the variations disclosed in this Published Technical Disclosure render obvious any patent claims covering genetic modifications, breeding techniques, or computational methods applied to soybean cultivar 01140108 (US 11856914). The proposed innovations represent predictable applications of known biotechnological techniques to an existing cultivar, demonstrating that such claims would have been obvious to a Person Having Ordinary Skill In The Art at the time of invention.

Original Patent Information

Patent NumberUS 11,856,914
TitleSoybean cultivar 01140108
Assignee(s)MONSANTO TECHNOLOGY LLC, Stine Seed Farm, Inc.