Defining valid breeding goals for animal breeds
CONCLUSIONS: The proposed approach coincides with the traditional approach if the producers have the sole desire to maximize their income, and if consumer preferences are well reflected by the product prices. If these assumptions are not met, then the traditional approach to breeding goal optimization is unlikely to result in a valid breeding goal. Using the example of companion breeds, this paper shows that the proposed approach has the potential to fill the gap.PMID:37990149 | PMC:PMC10664641 | DOI:10.1186/s12711-023-00855-6 (Source: Genet Sel Evol)
Source: Genet Sel Evol - November 22, 2023 Category: Genetics & Stem Cells Authors: Robin Wellmann Nicolas Gengler J örn Bennewitz Jens Tetens Source Type: research
Unravelling the genetic variability of host resilience to endo- and ectoparasites in Nellore commercial herds
CONCLUSIONS: Selection for BW under natural infestation and controlled parasite burden, via prophylactic parasite control, contributes to the identification of animals that are resilient to nematodes and Eimeria ssp. Although we verified that sufficient genetic variation existed for HR, we did not find any genes associated with mechanisms that could justify the expression of HR to TICK and GIN.PMID:37990289 | PMC:PMC10664541 | DOI:10.1186/s12711-023-00844-9 (Source: Genet Sel Evol)
Source: Genet Sel Evol - November 22, 2023 Category: Genetics & Stem Cells Authors: Gabriela Canabrava Gouveia Virg ínia Mara Pereira Ribeiro Marina Rufino Salinas Fortes Fernanda Santos Silva Raidan Antonio Reverter Laercio Ribeiro Porto-Neto Mariana Mamedes de Moraes Daniel Resende Gon çalves Marcos Vinicius Gualberto Barbosa da Silv Source Type: research
Defining valid breeding goals for animal breeds
CONCLUSIONS: The proposed approach coincides with the traditional approach if the producers have the sole desire to maximize their income, and if consumer preferences are well reflected by the product prices. If these assumptions are not met, then the traditional approach to breeding goal optimization is unlikely to result in a valid breeding goal. Using the example of companion breeds, this paper shows that the proposed approach has the potential to fill the gap.PMID:37990149 | DOI:10.1186/s12711-023-00855-6 (Source: Genet Sel Evol)
Source: Genet Sel Evol - November 22, 2023 Category: Genetics & Stem Cells Authors: Robin Wellmann Nicolas Gengler J örn Bennewitz Jens Tetens Source Type: research
Unravelling the genetic variability of host resilience to endo- and ectoparasites in Nellore commercial herds
CONCLUSIONS: Selection for BW under natural infestation and controlled parasite burden, via prophylactic parasite control, contributes to the identification of animals that are resilient to nematodes and Eimeria ssp. Although we verified that sufficient genetic variation existed for HR, we did not find any genes associated with mechanisms that could justify the expression of HR to TICK and GIN.PMID:37990289 | DOI:10.1186/s12711-023-00844-9 (Source: Genet Sel Evol)
Source: Genet Sel Evol - November 22, 2023 Category: Genetics & Stem Cells Authors: Gabriela Canabrava Gouveia Virg ínia Mara Pereira Ribeiro Marina Rufino Salinas Fortes Fernanda Santos Silva Raidan Antonio Reverter Laercio Ribeiro Porto-Neto Mariana Mamedes de Moraes Daniel Resende Gon çalves Marcos Vinicius Gualberto Barbosa da Silv Source Type: research
Correction: Sequence-based GWAS meta-analyses for beef production traits
Genet Sel Evol. 2023 Nov 13;55(1):79. doi: 10.1186/s12711-023-00852-9.NO ABSTRACTPMID:37957580 | PMC:PMC10642027 | DOI:10.1186/s12711-023-00852-9 (Source: Genet Sel Evol)
Source: Genet Sel Evol - November 14, 2023 Category: Genetics & Stem Cells Authors: Marie-Pierre Sanchez Thierry Tribout Naveen K Kadri Praveen K Chitneedi Steffen Maak Chris Hoz é Mekki Boussaha Pascal Croiseau Romain Philippe Mirjam Spengeler Christa K ühn Yining Wang Changxi Li Graham Plastow Hubert Pausch Didier Boichard Source Type: research
Correction: Sequence-based GWAS meta-analyses for beef production traits
Genet Sel Evol. 2023 Nov 13;55(1):79. doi: 10.1186/s12711-023-00852-9.NO ABSTRACTPMID:37957580 | PMC:PMC10642027 | DOI:10.1186/s12711-023-00852-9 (Source: Genet Sel Evol)
Source: Genet Sel Evol - November 14, 2023 Category: Genetics & Stem Cells Authors: Marie-Pierre Sanchez Thierry Tribout Naveen K Kadri Praveen K Chitneedi Steffen Maak Chris Hoz é Mekki Boussaha Pascal Croiseau Romain Philippe Mirjam Spengeler Christa K ühn Yining Wang Changxi Li Graham Plastow Hubert Pausch Didier Boichard Source Type: research
Correction: Sequence-based GWAS meta-analyses for beef production traits
Genet Sel Evol. 2023 Nov 13;55(1):79. doi: 10.1186/s12711-023-00852-9.NO ABSTRACTPMID:37957580 | PMC:PMC10642027 | DOI:10.1186/s12711-023-00852-9 (Source: Genet Sel Evol)
Source: Genet Sel Evol - November 14, 2023 Category: Genetics & Stem Cells Authors: Marie-Pierre Sanchez Thierry Tribout Naveen K Kadri Praveen K Chitneedi Steffen Maak Chris Hoz é Mekki Boussaha Pascal Croiseau Romain Philippe Mirjam Spengeler Christa K ühn Yining Wang Changxi Li Graham Plastow Hubert Pausch Didier Boichard Source Type: research
Correction: Sequence-based GWAS meta-analyses for beef production traits
Genet Sel Evol. 2023 Nov 13;55(1):79. doi: 10.1186/s12711-023-00852-9.NO ABSTRACTPMID:37957580 | PMC:PMC10642027 | DOI:10.1186/s12711-023-00852-9 (Source: Genet Sel Evol)
Source: Genet Sel Evol - November 14, 2023 Category: Genetics & Stem Cells Authors: Marie-Pierre Sanchez Thierry Tribout Naveen K Kadri Praveen K Chitneedi Steffen Maak Chris Hoz é Mekki Boussaha Pascal Croiseau Romain Philippe Mirjam Spengeler Christa K ühn Yining Wang Changxi Li Graham Plastow Hubert Pausch Didier Boichard Source Type: research
Correction: Sequence-based GWAS meta-analyses for beef production traits
Genet Sel Evol. 2023 Nov 13;55(1):79. doi: 10.1186/s12711-023-00852-9.NO ABSTRACTPMID:37957580 | DOI:10.1186/s12711-023-00852-9 (Source: Genet Sel Evol)
Source: Genet Sel Evol - November 14, 2023 Category: Genetics & Stem Cells Authors: Marie-Pierre Sanchez Thierry Tribout Naveen K Kadri Praveen K Chitneedi Steffen Maak Chris Hoz é Mekki Boussaha Pascal Croiseau Romain Philippe Mirjam Spengeler Christa K ühn Yining Wang Changxi Li Graham Plastow Hubert Pausch Didier Boichard Source Type: research
Exploring the potential of incremental feature selection to improve genomic prediction accuracy
CONCLUSIONS: The results of our study suggest that our incremental feature selection approach has the potential to improve prediction accuracy substantially. However, this gain seems to depend on the genomic data used. Even for datasets where the number of markers is smaller than the number of individuals, feature selection may still increase the performance of the genomic prediction. Our approach is implemented in R and is available at https://github.com/FelixHeinrich/GP_with_IFS/ .PMID:37946104 | PMC:PMC10634161 | DOI:10.1186/s12711-023-00853-8 (Source: Genet Sel Evol)
Source: Genet Sel Evol - November 9, 2023 Category: Genetics & Stem Cells Authors: Felix Heinrich Thomas Martin Lange Magdalena Kircher Faisal Ramzan Armin Otto Schmitt Mehmet G ültas Source Type: research
Exploring the potential of incremental feature selection to improve genomic prediction accuracy
CONCLUSIONS: The results of our study suggest that our incremental feature selection approach has the potential to improve prediction accuracy substantially. However, this gain seems to depend on the genomic data used. Even for datasets where the number of markers is smaller than the number of individuals, feature selection may still increase the performance of the genomic prediction. Our approach is implemented in R and is available at https://github.com/FelixHeinrich/GP_with_IFS/ .PMID:37946104 | PMC:PMC10634161 | DOI:10.1186/s12711-023-00853-8 (Source: Genet Sel Evol)
Source: Genet Sel Evol - November 9, 2023 Category: Genetics & Stem Cells Authors: Felix Heinrich Thomas Martin Lange Magdalena Kircher Faisal Ramzan Armin Otto Schmitt Mehmet G ültas Source Type: research
Exploring the potential of incremental feature selection to improve genomic prediction accuracy
CONCLUSIONS: The results of our study suggest that our incremental feature selection approach has the potential to improve prediction accuracy substantially. However, this gain seems to depend on the genomic data used. Even for datasets where the number of markers is smaller than the number of individuals, feature selection may still increase the performance of the genomic prediction. Our approach is implemented in R and is available at https://github.com/FelixHeinrich/GP_with_IFS/ .PMID:37946104 | PMC:PMC10634161 | DOI:10.1186/s12711-023-00853-8 (Source: Genet Sel Evol)
Source: Genet Sel Evol - November 9, 2023 Category: Genetics & Stem Cells Authors: Felix Heinrich Thomas Martin Lange Magdalena Kircher Faisal Ramzan Armin Otto Schmitt Mehmet G ültas Source Type: research
Exploring the potential of incremental feature selection to improve genomic prediction accuracy
CONCLUSIONS: The results of our study suggest that our incremental feature selection approach has the potential to improve prediction accuracy substantially. However, this gain seems to depend on the genomic data used. Even for datasets where the number of markers is smaller than the number of individuals, feature selection may still increase the performance of the genomic prediction. Our approach is implemented in R and is available at https://github.com/FelixHeinrich/GP_with_IFS/ .PMID:37946104 | PMC:PMC10634161 | DOI:10.1186/s12711-023-00853-8 (Source: Genet Sel Evol)
Source: Genet Sel Evol - November 9, 2023 Category: Genetics & Stem Cells Authors: Felix Heinrich Thomas Martin Lange Magdalena Kircher Faisal Ramzan Armin Otto Schmitt Mehmet G ültas Source Type: research
Disentangling the dynamics of energy allocation to develop a proxy for robustness of fattening pigs
CONCLUSIONS: Results of this study show that selection for robustness, based on estimated breeding values for environmental variance of the allocation coefficients to growth, can be considered in breeding programs for fattening pigs.PMID:37936078 | PMC:PMC10629156 | DOI:10.1186/s12711-023-00851-w (Source: Genet Sel Evol)
Source: Genet Sel Evol - November 7, 2023 Category: Genetics & Stem Cells Authors: Guillaume Lenoir Lo ïc Flatres-Grall Rafael Mu ñoz-Tamayo Ingrid David Nicolas C Friggens Source Type: research
Disentangling the dynamics of energy allocation to develop a proxy for robustness of fattening pigs
CONCLUSIONS: Results of this study show that selection for robustness, based on estimated breeding values for environmental variance of the allocation coefficients to growth, can be considered in breeding programs for fattening pigs.PMID:37936078 | PMC:PMC10629156 | DOI:10.1186/s12711-023-00851-w (Source: Genet Sel Evol)
Source: Genet Sel Evol - November 7, 2023 Category: Genetics & Stem Cells Authors: Guillaume Lenoir Lo ïc Flatres-Grall Rafael Mu ñoz-Tamayo Ingrid David Nicolas C Friggens Source Type: research
