| Patent application number | Description | Published |
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| 20080263720 | METHODS AND COMPOSITIONS FOR SELECTING SOYBEAN PLANTS RESISTANT TO PHYTOPHTHORA ROOT ROT - The present invention relates to the field of plant breeding and disease resistance. More specifically, the invention includes a method for breeding soybean plants containing quantitative trail loci (QTL) for resistance the | 10-23-2008 |
| 20090049565 | Methods to Identify Soybean Aphid Resistant Quantitative Trait Loci in Soybean and Compositions Thereof - The present invention is in the field of plant breeding and aphid resistance. More specifically, the invention includes a method for breeding soybean plants containing quantitative trait loci that are associated with resistance to aphids, | 02-19-2009 |
| 20090064354 | Methods and Compositions for Selecting Soybean Plants Resistant to Southern Root Knot Nematode - The present invention is in the field of plant breeding and disease resistance. More specifically, the invention includes a method for breeding soybean plants containing one or more quantitative trait loci (QTL) associated with resistance to Southern Root Knot Nematode (SRKN). The invention further provides germplasm and the use of germplasm containing QTL conferring disease resistance for introgression into elite germplasm in a breeding program, thus producing novel elite germplasm comprising one or more SRKN resistance QTL. | 03-05-2009 |
| 20090100537 | METHODS AND COMPOSITIONS FOR HIGH YIELDING SOYBEANS WITH NEMATODE RESISTANCE - The present invention is in the field of plant breeding and host plant resistance. More specifically, the invention provides methods to evaluate and select soybean plants that exhibit resistance to multiple races of nematodes in addition to yield parity and an agronomically phenotype. The invention provides methods and compositions for selecting and introgressing resistant alleles to obtain nematode resistant soybeans with yield parity. | 04-16-2009 |
| Patent application number | Description | Published |
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| 20080289061 | Identification of seeds or plants using phenotypic markers - Utilizing phenotypic markers in seeds or plants to allow qualitative detection of a proprietary trait in the harvest, to allow a quantitative calculation of the amount of the trait, and to facilitate the calculation and collection of fees for the trait. The phenotypic markers of the seeds can be the seed coat color, and said seeds can be homozygous or heterozygous for the phenotypic difference of seed coat color. Commercial cultivars of seeds with the phenotypic difference of seed color may be grown to include several different seed colors. Trait fees may be assessed on all grain with the proprietary trait, whether the grain was produced from purchased seed or from seed saved from a previous harvest. | 11-20-2008 |
| 20090307799 | METHOD TO IDENTIFY DISEASE RESISTANT QUANTITATIVE TRAIT LOCI IN SOYBEAN AND COMPOSITIONS THEREOF - The present invention is in the field of plant breeding and genetics, particularly as it pertains to the genus, Glycine. More specifically, the invention relates to a method for screening soybean plants containing one or more quantitative trait loci for disease resistance, species of Glycine having such loci and methods for breeding for and screening of Glycine with such loci. The invention further relates to the use of exotic germplasm in a breeding program. | 12-10-2009 |
| 20110055960 | METHOD TO IDENTIFY ASIAN SOYBEAN RUST RESISTANCE QUANTITATIVE TRAIT LOCI IN SOYBEAN AND COMPOSITIONS THEREOF - The present invention is in the field of plant breeding and disease resistance. More specifically, the invention includes a method for breeding soybean plants containing quantitative trait loci that are associated with resistance to Asian Soybean Rust (ASR), a fungal disease associated with | 03-03-2011 |
| 20110271409 | METHOD TO IDENTIFY DISEASE RESISTANT QUANTITATIVE TRAIT LOCI IN SOYBEAN AND COMPOSITIONS THEREOF - The present invention is in the field of plant breeding and genetics, particularly as it pertains to the genus, | 11-03-2011 |
