The present invention relates to a Cucumis sativus plant which may comprise a QTL, a copy number variant region, at least two copies of an ERF gene, or a mutation leading to increased expression of an ERF gene, which leads to Pythium resistance. The invention further relates to propagation material suitable for producing such Cucumis sativus plant. The invention also relates to a method for producing such Cucumis sativus plant and to methods for identification and selection of such a plant. In addition, the invention relates to a marker for identification of the QTL or copy number variant region, or for identification of the presence of at least two copies of an ERF gene resulting in Pythium resistance in Cucumis sativus, and to use of said marker. The invention also relates to seed which may comprise the QTL, copy number variant region, at least two copies of an ERF gene, or a mutation leading to increased expression of an ERF gene, which leads to Pythium resistance in the plant grown from such seed.

The present disclosure provides a method of generating a new trait converted elite cultivar through a method of breeding. For instance, the method involves the use of parent plants, which are respectively the traited variant of the parents of the non-traited elite cultivar and estimating a minimum population size necessary to generate a progeny plant comprising the desired trait and sharing a sufficiently high identity by descent with the non-traited elite cultivar to ensure replication and equivalency of general performance. The present method may be used to generate an elite cultivar in fewer generations, thereby accelerating new line production, and reducing costs. The present method may also be used to generate non-traited variants of traited lines.

The present disclosure provides a method of generating a new trait converted elite cultivar through a method of breeding. For instance, the method involves the use of parent plants, which are respectively the traited variant of the parents of the non-traited elite cultivar and estimating a minimum population size necessary to generate a progeny plant comprising the desired trait and sharing a sufficiently high identity by descent with the non-traited elite cultivar to ensure replication and equivalency of general performance. The present method may be used to generate an elite cultivar in fewer generations, thereby accelerating new line production, and reducing costs. The present method may also be used to generate non-traited variants of traited lines.

Disclosed herein are compostions 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.

Provided herein are Mycosphaerella brassicicola resistant Brassica oleracea plants including a resistance providing genomic fragment including SEQ ID Nos. 1 and 3. The present Mycosphaerella brassicicola resistant Brassica oleracea plants do not include a resistance providing genomic fragment comprising SEQ ID Nos. 2 and 4. Also provided herein are methods for identifying the present plants and the use of the disclosed sequences for identifying Mycosphaerella brassicicola resistant Brassica oleracea plants.

The present invention relates to methods and compositions for identifying, selecting and/or producing a maize plant or maize plant part having increased yield under non-drought conditions, increased yield stability under drought conditions, and/or increased drought tolerance. A maize plant or maize plant part, including any progeny and/or seeds derived from a maize plant or germplasm identified, selected and/or produced by any of the methods of the present invention is also provided.

The present disclosure provides Brassica oleracea plants having curds or heads exhibiting increased resistance to downy mildew. Such plants may comprise novel introgressed genomic regions associated with disease resistance from Brassica oleracea MYCOCLP. In certain aspects, compositions, including novel polymorphic markers and methods for producing, breeding, identifying, and selecting plants or germplasm with a disease resistance phenotype are provided.

The application concerns melon plants (Cucumis melo) resistant to infection with tomato leaf curl New Dehli virus (ToLCNDV). The resistant melon plants have a genomic introgression fragment on chromosome 5 which confers tolerance to ToLCNDV in a dominant manner. Also disclosed are markers for identifying those fragments, methods for identifying or producing resistant melon plants.

Methods are provided for genome editing. On example method includes editing a genome sequence of an organism with multiple edits simultaneously without precise knowledge of a phenotypic effect of each individual one of the multiple edits, wherein the multiple edits are selected based on a prediction of an aggregate phenotypic effect of the multiple edits on a phenotypic trait. The method also includes aggregating the multiple edits into multi-dimensional pools, whereby phenotypic effects of contrasting pools of edits are compared to ascertain which of the multiple edits are most likely to be causing large phenotypic effects while eliminating need to evaluate each edit separately. The organism may include one of: maize, soybean, wheat, sorghum, rice, cotton, rapeseed, sunflower, bean, tomato, squash, cucumber, melon, pepper, watermelon, eggplant, okra, pea, chickpea, lentil, peanut, onion, carrot, celery, beet, cauliflower, broccoli, cabbage, Brussels sprout, radish, black-eyed pea, potato, sweet-potato, sugar cane, cassava, and banana.

Methods are provided for genome editing. On example method includes editing a genome sequence of an organism with multiple edits simultaneously without precise knowledge of a phenotypic effect of each individual one of the multiple edits, wherein the multiple edits are selected based on a prediction of an aggregate phenotypic effect of the multiple edits on a phenotypic trait. The method also includes aggregating the multiple edits into multi-dimensional pools, whereby phenotypic effects of contrasting pools of edits are compared to ascertain which of the multiple edits are most likely to be causing large phenotypic effects while eliminating need to evaluate each edit separately. The organism may include one of: maize, soybean, wheat, sorghum, rice, cotton, rapeseed, sunflower, bean, tomato, squash, cucumber, melon, pepper, watermelon, eggplant, okra, pea, chickpea, lentil, peanut, onion, carrot, celery, beet, cauliflower, broccoli, cabbage, Brussels sprout, radish, black-eyed pea, potato, sweet-potato, sugar cane, cassava, and banana.