Review: Genetic selection of high-yielding dairy cattle toward sustainable farming systems in a rapidly changing world

Brito, Luiz F.; Bédère, Nicolas; Douhard, Frédéric; Oliveira, Hinayah Rojas de; Arnal, Mathieu; Peñagaricano, Francisco; Schinckel, A. P.; Baes, Christine F.; Miglior, F.

doi:10.1016/j.animal.2021.100292

Cited by 155 publications

(98 citation statements)

References 75 publications

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“…where y is a vector of pseudo-phenotypes (dEBVs); 1 is a vector of ones; µ is the overall mean; b is the fixed effect of the SNP tested for association with each trait, X is a vector containing the genotype score for the tested SNP; u is a vector of polygenic effects with u ∼ N 0, Gσ 2 u , where G is the genomic-based relationship matrix (GRM) and σ 2 u is the additive genetic variance of polygenic effects; Z is the incidence matrix of u; and e is a vector of residual effects with e ∼ N 0, Iσ 2 e , where I is an identity matrix and σ 2 e is the residual variance.…”

Section: Association Analyses Statistical Models and Significance Testingmentioning

confidence: 99%

“…Milk production and composition are the most intensively selected traits in dairy cattle breeding programs around the world due to their direct economic impact to the industry and close link with nutritional properties [1,2]. Additionally, lactation persistency (LP), defined as the ability of a cow to maintain milk production at a high level after reaching the milk production peak, greatly impacts the economic return of the dairy sector [3].…”

Section: Introductionmentioning

confidence: 99%

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Genomewide Association Analyses of Lactation Persistency and Milk Production Traits in Holstein Cattle Based on Imputed Whole-Genome Sequence Data

Pedrosa

Schenkel

Chen

et al. 2021

Genes

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Lactation persistency and milk production are among the most economically important traits in the dairy industry. In this study, we explored the association of over 6.1 million imputed whole-genome sequence variants with lactation persistency (LP), milk yield (MILK), fat yield (FAT), fat percentage (FAT%), protein yield (PROT), and protein percentage (PROT%) in North American Holstein cattle. We identified 49, 3991, 2607, 4459, 805, and 5519 SNPs significantly associated with LP, MILK, FAT, FAT%, PROT, and PROT%, respectively. Various known associations were confirmed while several novel candidate genes were also revealed, including ARHGAP35, NPAS1, TMEM160, ZC3H4, SAE1, ZMIZ1, PPIF, LDB2, ABI3, SERPINB6, and SERPINB9 for LP; NIM1K, ZNF131, GABRG1, GABRA2, DCHS1, and SPIDR for MILK; NR6A1, OLFML2A, EXT2, POLD1, GOT1, and ETV6 for FAT; DPP6, LRRC26, and the KCN gene family for FAT%; CDC14A, RTCA, HSTN, and ODAM for PROT; and HERC3, HERC5, LALBA, CCL28, and NEURL1 for PROT%. Most of these genes are involved in relevant gene ontology (GO) terms such as fatty acid homeostasis, transporter regulator activity, response to progesterone and estradiol, response to steroid hormones, and lactation. The significant genomic regions found contribute to a better understanding of the molecular mechanisms related to LP and milk production in North American Holstein cattle.

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Section: Association Analyses Statistical Models and Significance Testingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Genomewide Association Analyses of Lactation Persistency and Milk Production Traits in Holstein Cattle Based on Imputed Whole-Genome Sequence Data

Pedrosa

Schenkel

Chen

et al. 2021

Genes

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“…This suggests that an opportunity remains for the expansion of Canadian dairy goat production to meet domestic demand. However, the current global focus on sustainable livestock production favors increasing production efficiency, rather than continuing to expand the national goat herd (Brito et al, 2021;Statistics Canada, 2020). Furthermore, improving the efficiency and profitability of goat milk production is crucial to the competitiveness of the Canadian dairy goat industry relative to international competitors.…”

Section: Introductionmentioning

confidence: 99%

“…Genomic selection is one innovation that has revolutionized livestock breeding programs around the world (e.g., Van Eenennaam et al, 2014;Georges et al, 2019). The use of genomic information has been shown to substantially increase the rate of genetic gain in many livestock industries, including the Canadian dairy cattle industry, where rates of annual genetic gain have more than doubled, especially for lowly-heritable traits (Beavers and Van Doormaal, 2017;Miglior et al, 2017;Brito et al, 2021). The accelerated rate of genetic gain through the use of genomic selection is achieved by reducing generation intervals and increasing accuracy and intensity of selection (Schaeffer, 2006;Van Eenennaam et al, 2014;García-Ruiz et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Single-step genomic evaluation of milk production traits in Canadian Alpine and Saanen dairy goats

Massender

Brito

Maignel³

et al. 2022

Journal of Dairy Science

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Genomic evaluations are routine in most plant and livestock breeding programs but are used infrequently in dairy goat breeding schemes. In this context, the purpose of this study was to investigate the use of the single-step genomic BLUP method for predicting genomic breeding values for milk production traits (milk, protein, and fat yields; protein and fat percentages) in Canadian Alpine and Saanen dairy goats. There were 6,409 and 12,236 Alpine records and 3,434 and 5,008 Saanen records for each trait in first and later lactations, respectively, and a total of 1,707 genotyped animals (833 Alpine and 874 Saanen). Two validation approaches were used, forward validation (i.e., animals born after 2013 with an average estimated breeding value accuracy from the full data set ≥0.50) and forward cross-validation (i.e., subsets of all animals included in the forward validation were used in successive replications). The forward cross-validation approach resulted in similar validation accuracies (0.55 to 0.66 versus 0.54 to 0.61) and biases (−0.01 to -0.07 versus −0.03 to 0.11) to the forward validation when averaged across traits. Additionally, both single and multiple-breed analyses were compared, and similar average accuracies and biases were observed across traits. However, there was a small gain in accuracy from the use of multiple-breed models for the Saanen breed. A small gain in validation accuracy for genomically enhanced estimated breeding values (GEBV) relative to pedigreebased estimated breeding values (EBV) was observed across traits for the Alpine breed, but not for the Saanen breed, possibly due to limitations in the validation design, heritability of the traits evaluated, and size of the training populations. Trait-specific gains in theoretical accuracy of GEBV relative to EBV for the vali-dation animals ranged from 17 to 31% in Alpine and 35 to 55% in Saanen, using the cross-validation approach. The GEBV predicted from the full data set were 12 to 16% more accurate than EBV for genotyped animals, but no gains were observed for nongenotyped animals. The largest gains were found for does without lactation records (35-41%) and bucks without daughter records (46-54%), and consequently, the implementation of genomic selection in the Canadian dairy goat population would be expected to increase selection accuracy for young breeding candidates. Overall, this study represents the first step toward implementation of genomic selection in Canadian dairy goat populations.

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“…The Holstein Friesian breed is a cosmopolitan breed widely selected for a high milk production and it is mainly bred intensively [22]. On the contrary, the Podolica breed is a local cow breed characterized by an extensive and sustainable production system [23], that contributes to maintaining biodiversity, landscape in rural areas and production of typical products with a low environmental impact using artisanal processing [24].…”

Section: Introductionmentioning

confidence: 99%

Milk Fat Depression and Trans-11 to Trans-10 C18:1 Shift in Milk of Two Cattle Farming Systems

et al. 2022

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Milk fat depression (MFD) syndrome, a consistent decrease in milk fat content, is related to important changes in fatty acid composition due to feed imbalances and the consequent ruminal metabolism alteration. Milk produced in two different farming systems was compared: Holstein Friesian fed with unified in intensive production and Podolica raised on a pasture in an extensive system. Milk chemical characteristics and fatty acid composition were determined comparing milk with a normal fat level (>3.8%) to milk with a low fat level (<3.2%) in each breeding system. Holstein Friesian milk showed the decrease in trans-11 and increase in trans-10 C18:1 (shift from trans-11 to trans-10 C18:1) in low fat with respect to normal fat milk with a consequent decrease in the trans-11/trans-10 C18:1 ratio. Even conjugated linoleic acid (CLA), C18:2 cis-9, trans-11, was lower while CLA trans-10, cis-12 was higher in low fat milk than in normal fat milk from Holstein Friesian. These changes, that are indicators of MFD syndrome, were not found in Podolica milk between fat levels. Holstein Friesian milk showed less short-chain fatty acids (9.48 % vs. 11.05%, p < 0.001), trans vaccenic acid (C18:1 trans-11, 0.51% vs. 3.39%, p < 0.001), rumenic acid (CLA C18:2 cis-9, trans-11, 0.32% vs. 1.45%, p < 0.001) and total CLA (0.53% vs. 1.91%, p < 0.001) contents than Podolica milk. Further losses of these human healthy nutrients in low fat Friesian milk reduced the nutritional quality of the milk, while the milk from animals raised on the pasture was of better quality even when the level of fat was low.

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Review: Genetic selection of high-yielding dairy cattle toward sustainable farming systems in a rapidly changing world

Cited by 155 publications

References 75 publications

Genomewide Association Analyses of Lactation Persistency and Milk Production Traits in Holstein Cattle Based on Imputed Whole-Genome Sequence Data

Genomewide Association Analyses of Lactation Persistency and Milk Production Traits in Holstein Cattle Based on Imputed Whole-Genome Sequence Data

Single-step genomic evaluation of milk production traits in Canadian Alpine and Saanen dairy goats

Milk Fat Depression and Trans-11 to Trans-10 C18:1 Shift in Milk of Two Cattle Farming Systems

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