Exemplary methods for use in identifying crosses for use in plant breeding are disclosed. One exemplary method includes selecting a subgroup of potential crosses, based on thresholds associated with population prediction scores for the set of potential crosses. The exemplary method further includes selecting multiple target crosses from the subgroup of potential crosses based on a genetic relatedness of the parents in the subgroup of potential crosses, filtering the target crosses based on a rule (or rules) defining a threshold (or thresholds) for at least one characteristic and/or trait, selecting ones of the filtered target crosses based on risk associated with the selected one of the filtered target crosses, and directing the selected ones of the filtered target crosses into a breeding pipeline, thereby providing crosses to the breeding pipeline based, at least in part, on commercial success of parents included in the selected ones of the filtered crosses.

Exemplary methods for use in identifying crosses for use in plant breeding are disclosed. One exemplary method includes selecting a subgroup of potential crosses, based on thresholds associated with population prediction scores for the set of potential crosses. The exemplary method further includes selecting multiple target crosses from the subgroup of potential crosses based on a genetic relatedness of the parents in the subgroup of potential crosses, filtering the target crosses based on a rule (or rules) defining a threshold (or thresholds) for at least one characteristic and/or trait, selecting ones of the filtered target crosses based on risk associated with the selected one of the filtered target crosses, and directing the selected ones of the filtered target crosses into a breeding pipeline, thereby providing crosses to the breeding pipeline based, at least in part, on commercial success of parents included in the selected ones of the filtered crosses.

The present disclosure is in the field of plant breeding and disease resistance. The disclosure provides methods for breeding corn plants having late wilt (LW) resistance using marker-assisted selection. The disclosure further provides corn germplasm resistant to LW. The disclosure also provides markers associated with LW resistance loci for introgressing these loci into elite germplasm in a breeding program, thus producing novel LW resistant germplasm.

The present invention relates to methods and compositions for identifying, selecting and/or producing a Disease resistant soybean plant or germplasm using markers, genes and chromosomal intervals derived from Glycine tomentella PI441001, PI441008, PI446958, PI509501, PI583970, PI499939 or PI483224. A soybean plant or germplasm that has been identified, selected and/or produced by any of the methods of the present invention is also provided. Disease resistant soybean seeds, plants and germplasms are also provided.

The present invention is directed to a commercial tomato, namely S. lycopersicum plant, which is resistant to an arthropod pest comprising in its genome introgressed sequences from S. galapagense conferring resistance to said arthropod pest, wherein the introgressed sequences are chosen from those present in the genome of a plant of the line TUT115 NCIMB accession number 42109. The commercial tomato of the invention is preferably resistant to ToMV (Tomato Mosaic Virus). The introgressed sequences are preferably found at one or more of the loci defined by the following SNP markers: SNP solcap_snp_sl_18619 on chromosome 1 and SNP solcap_snp_sl_12348 on chromosome 1.

The present invention is directed to a commercial tomato, namely S. lycopersicum plant, which is resistant to an arthropod pest comprising in its genome introgressed sequences from S. galapagense conferring resistance to said arthropod pest, wherein the introgressed sequences are chosen from those present in the genome of a plant of the line TUT115 NCIMB accession number 42109. The commercial tomato of the invention is preferably resistant to ToMV (Tomato Mosaic Virus). The introgressed sequences are preferably found at one or more of the loci defined by the following SNP markers: SNP solcap_snp_sl_18619 on chromosome 1 and SNP solcap_snp_sl_12348 on chromosome 1.

Exemplary methods for identifying hybrids for use in a plant breeding pipeline are disclosed. One exemplary computer-implemented method includes accessing a data structure including data representative of a pool of hybrids and determining a prediction score for at least a portion of the hybrids included in the pool based on the data included in the data structure. The prediction score is indicative of a probability of selection and/or a probability of success of the hybrid based on historical data. The method further includes selecting a group of hybrids from the pool based on the prediction score, identifying a set of hybrids, from the group of hybrids, based on an expected performance of the set of hybrids and/or one or more factors associated with the hybrids and/or lines making up the hybrids, and also directing the set of hybrids to a further iteration or different phase in the breeding pipeline.

The present invention provides methods and compositions for the identification and selection of soybean plants that comprise a genotype associated with dicamba tolerance. In addition, methods are provided for screening germplasm entries for the performance and expression of this trait.

Disclosed herein are compositions and methods for improving or enhancing pathogen resistance in legume plants. Compositions comprising polypeptides encoded by legume-derived nucleotide-binding site-leucine-rich repeat (NB-LRR) genes are useful in improving resistance in legumes to Asian soybean rust. Methods of using NB-LRR genes can be used to make a transgenic resistant legume Plant.

A method of inducing genetic recombination, including: allowing a protein having DNA double-stranded cleavage activity to act in cells of a eukaryotic organism which is a polyploidy inherently possessed by a eukaryotic organism. In eukaryotic organisms, various genetic recombination generates new genome set composition. This is done to obtain a population of eukaryotic organisms that hold the modified genomic set.