Molecular marker heterozygosities and genetic distances as correlates of production traits in F1 bovine crosses

Tambasco-Talhari, Daniella; Alencar, M. M. de; Paz, Cláudia Cristina Paro de; Cruz, G. M. da; Rodrigues, A. de A.; Packer, Irineu Umberto; Coutinho, Luiz Lehmann; Regitano, Luciana Correia de Almeida

doi:10.1590/s1415-47572005000200007

Cited by 6 publications

(8 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Therefore, further investigation is warranted. Moreover, previous studies have investigated the relationship between production traits and genomic heterozygosity, which is similar to heterosis predicted by HET1 method, and have concluded that a strong relationship between genomic heterozygosity and heterosis does exist, which will be useful for predicting hybrid performance (Xiao et al, 1995;Tambasco-Talhari et al, 2005). In the presence of dominance and overdominance, superior performance of heterozygotes could be described as a manifestation of physiological differences between heterozygotes and parental homozygotes, which cause variations in observed characters.…”

Section: Predicted Genomic Heterosismentioning

confidence: 73%

Modeling heterotic effects in beef cattle using genome-wide SNP-marker genotypes1

Akanno

Abo-Ismail

Chen

et al. 2018

Journal of Animal Science

View full text Add to dashboard Cite

An objective of commercial beef cattle crossbreeding programs is to simultaneously optimize use of additive (breed differences) and non-additive (heterosis) effects. A total of 6,794 multibreed and crossbred beef cattle with phenotype and Illumina BovineSNP50 genotype data were used to predict genomic heterosis for growth and carcass traits by applying two methods assumed to be linearly proportional to heterosis. The methods were as follows: 1) retained heterozygosity predicted from genomic breed fractions (HET1) and 2) deviation of adjusted crossbred phenotype from midparent value (HET2). Comparison of methods was based on prediction accuracy from cross-validation. Here, a mutually exclusive random sampling of all crossbred animals (n = 5,327) was performed to form five groups replicated five times with approximately 1,065 animals per group. In each run within a replicate, one group was assigned as a validation set, while the remaining four groups were combined to form the reference set. The phenotype of the animals in the validation set was assumed to be unknown; thus, it resulted in every animal having heterosis values that were predicted without using its own phenotype, allowing their adjusted phenotype to be used for validation. The same approach was used to test the impact of predicted heterosis on accuracy of genomic breeding values (GBV). The results showed positive heterotic effects for growth traits but not for carcass traits that reflect the importance of heterosis for growth traits in beef cattle. Heterosis predicted by HET1 method resulted in less variable estimates that were mostly within the range of estimates generated by HET2. Prediction accuracy was greater for HET2 (0.37-0.98) than HET1 (0.34-0.43). Proper consideration of heterosis in genomic evaluation models has debatable effects on accuracy of EBV predictions. However, opportunity exists for predicting heterosis, improving accuracy of genomic selection, and consequently optimizing crossbreeding programs in beef cattle.

show abstract

Section: Predicted Genomic Heterosismentioning

confidence: 73%

Modeling heterotic effects in beef cattle using genome-wide SNP-marker genotypes1

Akanno

Abo-Ismail

Chen

et al. 2018

Journal of Animal Science

View full text Add to dashboard Cite

show abstract

“…First attempts to classify livestock breeds using genetic markers were originally based on microsatellites [ 24 – 27 ] and most analysis included a few hundred animals and a handful of breeds. The Bovine HapMap Consortium [ 28 ] interrogated 37,470 SNP in 497 animals and used PCA to elucidate the genetic structure of diverse breeds.…”

Section: Introductionmentioning

confidence: 99%

The Bos taurus–Bos indicus balance in fertility and milk related genes

et al. 2017

View full text Add to dashboard Cite

Numerical approaches to high-density single nucleotide polymorphism (SNP) data are often employed independently to address individual questions. We linked independent approaches in a bioinformatics pipeline for further insight. The pipeline driven by heterozygosity and Hardy-Weinberg equilibrium (HWE) analyses was applied to characterize Bos taurus and Bos indicus ancestry. We infer a gene co-heterozygosity network that regulates bovine fertility, from data on 18,363 cattle with genotypes for 729,068 SNP. Hierarchical clustering separated populations according to Bos taurus and Bos indicus ancestry. The weights of the first principal component were subjected to Normal mixture modelling allowing the estimation of a gene’s contribution to the Bos taurus-Bos indicus axis. We used deviation from HWE, contribution to Bos indicus content and association to fertility traits to select 1,284 genes. With this set, we developed a co-heterozygosity network where the group of genes annotated as fertility-related had significantly higher Bos indicus content compared to other functional classes of genes, while the group of genes associated with milk production had significantly higher Bos taurus content. The network analysis resulted in capturing novel gene associations of relevance to bovine domestication events. We report transcription factors that are likely to regulate genes associated with cattle domestication and tropical adaptation. Our pipeline can be generalized to any scenarios where population structure requires scrutiny at the molecular level, particularly in the presence of a priori set of genes known to impact a phenotype of evolutionary interest such as fertility.

show abstract

“…Nilai HV salah satunya dipengaruhi oleh jarak genetik antar bangsa ternak (Tambasco-Talhari et al, 2005). Jarak genetik didefinisikan sebagai derajat perbedaan genetik atau perbedaan genomic antar bangsa atau populasi mahkluk hidup (Nei, 1972), hal ini dapat dilihat dari hasil crossbreeding antara kambing Boer dan Jawarandu mencapai nilai HV tertinggi ketika dikawinkan sampai dengan F1 dalam penelitian ini.…”

Section: Estimasi Hvrelatif Terhadap Kedua Tetuanya (Parents Average)unclassified

Telaah potensi hybrid vigor sifat bobot badan pada silangan kambing Boer dan Jawarandu

Prastowo

Nurhayat

Widowati

et al. 2019

JIIP

View full text Add to dashboard Cite

Upaya peningkatan produktivitas kambing lokal Indonesia dapat dilakukan dengan crossbreeding (persilangan) yang memanfaatkan efek heterosis atau hybrid vigor(HV). Saat ini, kambing Boer telah banyak disilangkan dengan kambing Jawarandu untuk membentuk silangan kambing pedaging bernama Boerja.Penelitian ini bertujuan mengetahui nilai HV hasil persilangan kambing Boer dan Jawarandurelatifterhadap rerata kedua tetua (parents average)dan terhadap tetua betinanya. Sebanyak 504 data bobot badan (BB) yang berasal dari pejantan Boer (n = 6), betina Jawarandu (n = 15), Boerja (Boer × Jawarandu) F1 (n = 298), Boerja F2 (n = 167) dan Boerja F3(n = 18) digunakan untuk analisis dalam penelitian ini. Metode persilangan dilakukan secara backcross, yaitu Boerja F2 didapatkan dari Boer (♂)× Boerja F1 (♀), sedangkan Boerja F3 dihasilkan dari Boer (♂) × Boerja F2 (♀).Rerata dan simpangan baku BB kambing Boer,

show abstract

Molecular marker heterozygosities and genetic distances as correlates of production traits in F1 bovine crosses

Cited by 6 publications

References 27 publications

Modeling heterotic effects in beef cattle using genome-wide SNP-marker genotypes1

Modeling heterotic effects in beef cattle using genome-wide SNP-marker genotypes1

The Bos taurus–Bos indicus balance in fertility and milk related genes

Telaah potensi hybrid vigor sifat bobot badan pada silangan kambing Boer dan Jawarandu

Contact Info

Product

Resources

About