Christian R. Werner
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View article: Early-stage sparse testing strategies to increase genetic gain in plant breeding programmes
Early-stage sparse testing strategies to increase genetic gain in plant breeding programmes Open
Early-stage sparse testing can significantly increase genetic gain in plant breeding programmes, facilitating the development of varieties with high and stable performance across farmers’ fields. This is achieved through (1) increased sele…
View article: Sparse testcrossing for early-stage genomic prediction of general combining ability to increase genetic gain in maize hybrid breeding programs
Sparse testcrossing for early-stage genomic prediction of general combining ability to increase genetic gain in maize hybrid breeding programs Open
1 ABSTRACT Sparse testcrossing is an effective strategy for increasing both short- and long-term genetic gain in hybrid breeding programs. Maize hybrid breeding programs aim to develop new hybrid varieties by crossing genetically distinct …
View article: Accelerating genetic gain through early-stage on-farm sparse testing
Accelerating genetic gain through early-stage on-farm sparse testing Open
Most African crop breeding programs conduct early-stage selection at very few research stations, which may not reflect smallholder farm conditions. Early-stage on-farm sparse testing utilizes genomic relationships to shift selection from r…
View article: Reviving the Desired Gains Index: An optimal solution for parent selection in public plant breeding programs
Reviving the Desired Gains Index: An optimal solution for parent selection in public plant breeding programs Open
The Desired Gains Index is an optimal solution for parent selection in public plant breeding programs. It enables breeders to quantify their breeding objectives in terms of desired genetic gains and facilitates the efficient simultaneous i…
View article: FieldSimR: an R package for simulating plot data in multi-environment field trials
FieldSimR: an R package for simulating plot data in multi-environment field trials Open
This paper presents a general framework for simulating plot data in multi-environment field trials with one or more traits. The framework is embedded within the R package FieldSimR, whose core function generates plot errors that capture gl…
View article: Clonal diploid and autopolyploid breeding strategies to harness heterosis: insights from stochastic simulation
Clonal diploid and autopolyploid breeding strategies to harness heterosis: insights from stochastic simulation Open
View article: Reciprocal recurrent selection based on genetic complementation: An efficient way to build heterosis in diploids due to directional dominance
Reciprocal recurrent selection based on genetic complementation: An efficient way to build heterosis in diploids due to directional dominance Open
Depending on the trait architecture and reproduction system, selection strategies in plant breeding focus on the accumulation of additive, dominance effects, or both. Innovation in the exploitation of dominance‐effect‐based heterosis has b…
View article: Genomic selection strategies for clonally propagated crops
Genomic selection strategies for clonally propagated crops Open
Key message For genomic selection in clonally propagated crops with diploid (-like) meiotic behavior to be effective, crossing parents should be selected based on genomic predicted cross-performance unless dominance is negligible. Abstract…
View article: Reciprocal recurrent selection based on genetic complementation: An efficient way to build heterosis in diploids due to directional dominance
Reciprocal recurrent selection based on genetic complementation: An efficient way to build heterosis in diploids due to directional dominance Open
Depending on the trait architecture and reproduction system, selection strategies in plant breeding focus on the accumulation of additive, dominance effects, or both. Innovation in the accumulation of dominance-effect-based heterosis has b…
View article: Clonal breeding strategies to harness heterosis: insights from stochastic simulation
Clonal breeding strategies to harness heterosis: insights from stochastic simulation Open
To produce genetic gain, hybrid crop breeding can change the additive as well as dominance genetic value of populations, which can lead to utilization of heterosis. A common hybrid breeding strategy is reciprocal recurrent selection (RRS),…
View article: Breeding Schemes: What Are They, How to Formalize Them, and How to Improve Them?
Breeding Schemes: What Are They, How to Formalize Them, and How to Improve Them? Open
Formalized breeding schemes are a key component of breeding program design and a gateway to conducting plant breeding as a quantitative process. Unfortunately, breeding schemes are rarely defined, expressed in a quantifiable format, or sto…
View article: Genetic architecture and major genes for backfat thickness in pig lines of diverse genetic backgrounds
Genetic architecture and major genes for backfat thickness in pig lines of diverse genetic backgrounds Open
View article: Modeling Illustrates That Genomic Selection Provides New Opportunities for Intercrop Breeding
Modeling Illustrates That Genomic Selection Provides New Opportunities for Intercrop Breeding Open
Intercrop breeding programs using genomic selection can produce faster genetic gain than intercrop breeding programs using phenotypic selection. Intercropping is an agricultural practice in which two or more component crops are grown toget…
View article: Multi-omics-based prediction of hybrid performance in canola
Multi-omics-based prediction of hybrid performance in canola Open
Key message Complementing or replacing genetic markers with transcriptomic data and use of reproducing kernel Hilbert space regression based on Gaussian kernels increases hybrid prediction accuracies for complex agronomic traits in canola …
View article: How Population Structure Impacts Genomic Selection Accuracy in Cross-Validation: Implications for Practical Breeding
How Population Structure Impacts Genomic Selection Accuracy in Cross-Validation: Implications for Practical Breeding Open
Over the last two decades, the application of genomic selection has been extensively studied in various crop species, and it has become a common practice to report prediction accuracies using cross validation. However, genomic prediction a…
View article: Modelling illustrates that genomic selection provides new opportunities for intercrop breeding
Modelling illustrates that genomic selection provides new opportunities for intercrop breeding Open
Intercrop breeding programs using genomic selection can produce faster genetic gain than intercrop breeding programs using phenotypic selection. Intercropping is an agricultural practice in which two or more component crops are grown toget…
View article: Genomic selection strategies for clonally propagated crops
Genomic selection strategies for clonally propagated crops Open
For genomic selection in clonal breeding programs to be effective, crossing parents should be selected based on genomic predicted cross performance unless dominance is negligible. Genomic prediction of cross performance enables a balanced …
View article: A Two-Part Strategy using Genomic Selection in Hybrid Crop Breeding Programs
A Two-Part Strategy using Genomic Selection in Hybrid Crop Breeding Programs Open
Hybrid crop breeding programs using a two-part strategy produced the most genetic gain, but a maximum avoidance of inbreeding crossing scheme was required to increase long-term genetic gain. The two-part strategy uses outbred parents to co…
View article: GWAS and co-expression network combination uncovers multigenes with close linkage effects on the oleic acid content accumulation in Brassica napus
GWAS and co-expression network combination uncovers multigenes with close linkage effects on the oleic acid content accumulation in Brassica napus Open
Background Strong artificial and natural selection causes the formation of highly conserved haplotypes that harbor agronomically important genes. GWAS combination with haplotype analysis has evolved as an effective method to dissect the ge…
View article: GWAS and co-expression network combination uncovers multigenes with close linkage effects on oleic acid content accumulation in Brassica napus
GWAS and co-expression network combination uncovers multigenes with close linkage effects on oleic acid content accumulation in Brassica napus Open
Background: Strong artificial and natural selection causes the formation of highly conserved haplotypes that harbor agronomically important genes. GWAS combination with haplotype analysis has evolved as an effective method to dissect the g…
View article: GWAS and co-expression network combination uncovers multigenes with close linkage effects on oleic acid content accumulation in Brassica napus
GWAS and co-expression network combination uncovers multigenes with close linkage effects on oleic acid content accumulation in Brassica napus Open
Background: Strong artificial and natural selection causes the formation of highly conserved haplotypes that harbor agronomically important genes. GWAS combination with haplotype analysis has evolved as an effective method to dissect the g…
View article: Additional file 3 of GWAS and co-expression network combination uncovers multigenes with close linkage effects on the oleic acid content accumulation in Brassica napus
Additional file 3 of GWAS and co-expression network combination uncovers multigenes with close linkage effects on the oleic acid content accumulation in Brassica napus Open
Additional file 3 Table S3. Detailed analysis of two haplotype regions from chromosomes A02 and C02, including SNPs, genes and haplotype alleles related to oleic acid content variation in 50 resequencing accessions.
View article: Additional file 2 of GWAS and co-expression network combination uncovers multigenes with close linkage effects on the oleic acid content accumulation in Brassica napus
Additional file 2 of GWAS and co-expression network combination uncovers multigenes with close linkage effects on the oleic acid content accumulation in Brassica napus Open
Additional file 2 Table S2. SNPs and gene information in the significant association of haplotype region.
View article: Additional file 4 of GWAS and co-expression network combination uncovers multigenes with close linkage effects on the oleic acid content accumulation in Brassica napus
Additional file 4 of GWAS and co-expression network combination uncovers multigenes with close linkage effects on the oleic acid content accumulation in Brassica napus Open
Additional file 4 Table S4. Gene information of co-expression network in A02 and C02 chromosome haplotype region.
View article: Additional file 1 of GWAS and co-expression network combination uncovers multigenes with close linkage effects on the oleic acid content accumulation in Brassica napus
Additional file 1 of GWAS and co-expression network combination uncovers multigenes with close linkage effects on the oleic acid content accumulation in Brassica napus Open
Additional file 1 Table S1. Source, population structure, 50 resequencing accessions, 13 transcriptomes accessions, heritability and oleic acid phenotype information of 203 Chinese semi-winter rapeseed accessions.
View article: Additional file 5 of GWAS and co-expression network combination uncovers multigenes with close linkage effects on the oleic acid content accumulation in Brassica napus
Additional file 5 of GWAS and co-expression network combination uncovers multigenes with close linkage effects on the oleic acid content accumulation in Brassica napus Open
Additional file 5 Table S5. Flanking oligonucleotide sequences, chromosomal positions (best BLAST hit) and genotype calls for the 24,338unique polymorphic SNPs used for the chromosome structure and LD analyses in the diversity panel of 203…
View article: GWAS and co-expression network combination uncovers multigenes with close linkage effects on oleic acid content accumulation in Brassica napus
GWAS and co-expression network combination uncovers multigenes with close linkage effects on oleic acid content accumulation in Brassica napus Open
Abstract Background: Strong artificial and natural selection causes the formation of highly conserved haplotypes that harbor agronomically important genes. GWAS in combination with haplotype analysis has evolved as an effective method to d…
View article: GWAS and co-expression network combination uncovers multigenes with close linkage effects on oleic acid content accumulation in Brassica napus
GWAS and co-expression network combination uncovers multigenes with close linkage effects on oleic acid content accumulation in Brassica napus Open
Abstract Background: Strong artificial and natural selection causes the formation of highly conserved haplotypes that harbor agronomically important genes. GWAS in combination with haplotype analysis has evolved as an effective method to d…
View article: GWAS and co-expression network combination uncovers multigenes with close linkage effects on oleic acid content accumulation in Brassica napus
GWAS and co-expression network combination uncovers multigenes with close linkage effects on oleic acid content accumulation in Brassica napus Open
Abstract Background: Strong artificial and natural selection causes the formation of highly conserved haplotypes that harbor agronomically important genes. GWAS in combination with haplotype analysis has evolved as an effective method to d…
View article: Strong temporal dynamics of QTL action on plant growth progression revealed through high‐throughput phenotyping in canola
Strong temporal dynamics of QTL action on plant growth progression revealed through high‐throughput phenotyping in canola Open
Summary A major challenge of plant biology is to unravel the genetic basis of complex traits. We took advantage of recent technical advances in high‐throughput phenotyping in conjunction with genome‐wide association studies to elucidate ge…