Reciprocal recurrent genomic selection is a breeding strategy aimed at improving the hybrid performance of two base populations. It promises to significantly advance hybrid breeding in wheat. Against this backdrop, the main objective of this study was to empirically investigate the potential and limitations of reciprocal recurrent genomic selection. Genome-wide predictive equations were developed using genomic and phenotypic data from a comprehensive population of 1,604 single crosses between 120 female and 15 male wheat lines. Twenty superior female lines were selected for initiation of the reciprocal recurrent genomic selection program. Focusing on the female pool, one cycle was performed with genomic selection steps at the F<sub>2&...
Genomic selection has many applications within individual programs. Here, we discuss the benefits of...
Recombination affects the fate of alleles in populations by imposing constraints on the reshuffling ...
Developing genomic selection (GS) models is an important step in applying GS to accelerate the rate ...
Genomic selection (GS) in wheat breeding programs is of great interest for predicting the genotypic ...
Increasing grain yield and protein are important wheat breeding goals; however, the simultaneous imp...
A traditional wheat breeding program normally takes 7 to 12 years to develop a new cultivar to be el...
Increasing grain yield and protein are important wheat breeding goals. However, the simultaneous imp...
Domesticated crops experience strong human-mediated selection aimed at developing high-yielding vari...
Cereal crop breeders have achieved considerable genetic gain in genetically complex traits, such as ...
Increased genetic gain for complex traits in plant breeding programs can be achieved through differe...
In the last decade the breeding technology referred to as 'genomic selection' (GS) has been implemen...
Background Bread wheat is an allopolyploid species with a large, highly repetitive genome. To invest...
Genomic selection (GS) has been promising for increasing genetic gains in several species. Therefore...
Recombination affects the fate of alleles in populations by imposing constraints on the reshuffling ...
Genomic predictions or genomic selection (GS) was proposed to overcome a number of challenges in app...
Genomic selection has many applications within individual programs. Here, we discuss the benefits of...
Recombination affects the fate of alleles in populations by imposing constraints on the reshuffling ...
Developing genomic selection (GS) models is an important step in applying GS to accelerate the rate ...
Genomic selection (GS) in wheat breeding programs is of great interest for predicting the genotypic ...
Increasing grain yield and protein are important wheat breeding goals; however, the simultaneous imp...
A traditional wheat breeding program normally takes 7 to 12 years to develop a new cultivar to be el...
Increasing grain yield and protein are important wheat breeding goals. However, the simultaneous imp...
Domesticated crops experience strong human-mediated selection aimed at developing high-yielding vari...
Cereal crop breeders have achieved considerable genetic gain in genetically complex traits, such as ...
Increased genetic gain for complex traits in plant breeding programs can be achieved through differe...
In the last decade the breeding technology referred to as 'genomic selection' (GS) has been implemen...
Background Bread wheat is an allopolyploid species with a large, highly repetitive genome. To invest...
Genomic selection (GS) has been promising for increasing genetic gains in several species. Therefore...
Recombination affects the fate of alleles in populations by imposing constraints on the reshuffling ...
Genomic predictions or genomic selection (GS) was proposed to overcome a number of challenges in app...
Genomic selection has many applications within individual programs. Here, we discuss the benefits of...
Recombination affects the fate of alleles in populations by imposing constraints on the reshuffling ...
Developing genomic selection (GS) models is an important step in applying GS to accelerate the rate ...