Use of-omics technologies toward profitability and beef consumers' satisfaction
使用组学技术提高盈利能力和牛肉消费者满意度
基本信息
- 批准号:505544-2016
- 负责人:
- 金额:$ 12.07万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Collaborative Research and Development Grants
- 财政年份:2017
- 资助国家:加拿大
- 起止时间:2017-01-01 至 2018-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Canadian beef producers have a tremendous opportunity to meet the increasing global demand for high quality animal protein products. However, high feed costs and inconsistent quality remain significant challenges. Research has been underway towards addressing these challenges through the use of DNA panels to allow animals to be selected and specifically managed according to DNA profile to increase the production efficiency and product quality. Beef quality audits in Canada continue to identify beef tenderness as the number one quality concern consumers have with beef. If beef was more consistently tender, consumers would be willing to pay more for beef and purchase it more often. Although feed efficiency and beef quality represent tremendous challenges and opportunities for the industry, the ability of the industry to address these through improved genetics has been almost impossible until very recently with the development of genomics technologies. Traditional approaches to genetic improvement for these traits are not successful as the traits are too expensive and difficult to measure. This research is designed to improve the genomic tools available to increase selection efficiency and address new traits of importance for consumers and with benefit to beef producers.This project brings together an experienced Canadian team to exploit these new opportunities. The combination of the new high-throughput -OMICS technologies such as transcriptomics with phenotype/genotype data and functional information within a systems biology approach will result in a more complete understanding of the genes, regulatory pathways and causal mutations involved in economically important traits such tenderness, and integrate this comprehensive information for use in genetic improvement programs to improve the competitiveness of the Canadian beef industry.
加拿大牛肉生产商有巨大的机会来满足全球对高质量动物蛋白产品日益增长的需求。然而,饲料成本高和质量不稳定仍然是重大挑战。我们一直在研究如何通过使用DNA样本组来应对这些挑战,以便根据DNA图谱选择和专门管理动物,从而提高生产效率和产品质量。加拿大的牛肉质量审计继续将牛肉嫩度确定为消费者对牛肉的头号质量问题。如果牛肉更嫩,消费者将愿意为牛肉支付更多的钱,并更经常地购买牛肉。虽然饲料效率和牛肉质量对该行业来说是巨大的挑战和机遇,但直到最近随着基因组学技术的发展,该行业通过改进遗传学来解决这些问题的能力几乎是不可能的。这些性状的传统遗传改良方法并不成功,因为这些性状过于昂贵且难以测量。该研究旨在改进现有的基因组工具,以提高选择效率,并解决对消费者重要的新性状,并使牛肉生产商受益。该项目汇集了经验丰富的加拿大团队,以利用这些新机会。新的高通量OMICS技术(如转录组学)与系统生物学方法中的表型/基因型数据和功能信息相结合,将导致更全面地了解与经济上重要的性状(如嫩度、并将这些综合信息用于基因改良计划,以提高加拿大牛肉产业的竞争力。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Canovas, Angela其他文献
Transcriptomic Profiles of Monocyte-Derived Macrophages in Response to Escherichia coli is Associated with the Host Genetics
- DOI:
10.1038/s41598-019-57089-0 - 发表时间:
2020-01-14 - 期刊:
- 影响因子:4.6
- 作者:
Emam, Mehdi;Canovas, Angela;Mallard, Bonnie - 通讯作者:
Mallard, Bonnie
Expression Profile of miRNA from High, Middle, and Low Stress-Responding Sheep during Bacterial Endotoxin Challenge.
- DOI:
10.3390/ani13030508 - 发表时间:
2023-02-01 - 期刊:
- 影响因子:3
- 作者:
Shandilya, Umesh K. K.;Sharma, Ankita;Naylor, Danielle;Canovas, Angela;Mallard, Bonnie;Karrow, Niel A. A. - 通讯作者:
Karrow, Niel A. A.
Weighted Gene Correlation Network Meta-Analysis Reveals Functional Candidate Genes Associated with High- and Sub-Fertile Reproductive Performance in Beef Cattle
- DOI:
10.3390/genes11050543 - 发表时间:
2020-05-01 - 期刊:
- 影响因子:3.5
- 作者:
Fonseca, Pablo A. S.;Suarez-Vega, Aroa;Canovas, Angela - 通讯作者:
Canovas, Angela
Single Nucleotide Polymorphism (SNP) Variation of Wolves (Canis lupus) in Southeast Alaska and Comparison with Wolves, Dogs, and Coyotes in North America
- DOI:
10.1093/jhered/esu075 - 发表时间:
2015-01-01 - 期刊:
- 影响因子:3.1
- 作者:
Cronin, Matthew A.;Canovas, Angela;Medrano, Juan F. - 通讯作者:
Medrano, Juan F.
Genome-wide association study for meat tenderness in beef cattle identifies patterns of the genetic contribution in different post-mortem stages
- DOI:
10.1016/j.meatsci.2022.108733 - 发表时间:
2022-01-07 - 期刊:
- 影响因子:7.1
- 作者:
de Souza Fonseca, Pablo Augusto;Caldwell, Tim;Canovas, Angela - 通讯作者:
Canovas, Angela
Canovas, Angela的其他文献
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{{ truncateString('Canovas, Angela', 18)}}的其他基金
Understanding the genetic relationship between fertility and feed efficiency traits and its pleiotropic effect in cattle
了解牛繁殖力和饲料效率性状之间的遗传关系及其多效性
- 批准号:
RGPIN-2022-04999 - 财政年份:2022
- 资助金额:
$ 12.07万 - 项目类别:
Discovery Grants Program - Individual
Understanding the biological processes and gene network pathways and their relationship with the host microbiota that directly affect complex fertility traits and embryo survival in beef cattle.
了解直接影响肉牛复杂生育性状和胚胎存活的生物过程和基因网络途径及其与宿主微生物群的关系。
- 批准号:
RGPIN-2017-05194 - 财政年份:2021
- 资助金额:
$ 12.07万 - 项目类别:
Discovery Grants Program - Individual
Understanding the biological processes and gene network pathways and their relationship with the host microbiota that directly affect complex fertility traits and embryo survival in beef cattle.
了解直接影响肉牛复杂生育性状和胚胎存活的生物过程和基因网络途径及其与宿主微生物群的关系。
- 批准号:
RGPIN-2017-05194 - 财政年份:2020
- 资助金额:
$ 12.07万 - 项目类别:
Discovery Grants Program - Individual
Understanding the biological processes and gene network pathways and their relationship with the host microbiota that directly affect complex fertility traits and embryo survival in beef cattle.
了解直接影响肉牛复杂生育性状和胚胎存活的生物过程和基因网络途径及其与宿主微生物群的关系。
- 批准号:
RGPIN-2017-05194 - 财政年份:2019
- 资助金额:
$ 12.07万 - 项目类别:
Discovery Grants Program - Individual
Use of-omics technologies toward profitability and beef consumers' satisfaction
使用组学技术提高盈利能力和牛肉消费者满意度
- 批准号:
505544-2016 - 财政年份:2018
- 资助金额:
$ 12.07万 - 项目类别:
Collaborative Research and Development Grants
Understanding the biological processes and gene network pathways and their relationship with the host microbiota that directly affect complex fertility traits and embryo survival in beef cattle.
了解直接影响肉牛复杂生育性状和胚胎存活的生物过程和基因网络途径及其与宿主微生物群的关系。
- 批准号:
RGPIN-2017-05194 - 财政年份:2018
- 资助金额:
$ 12.07万 - 项目类别:
Discovery Grants Program - Individual
Understanding the biological processes and gene network pathways and their relationship with the host microbiota that directly affect complex fertility traits and embryo survival in beef cattle.
了解直接影响肉牛复杂生育性状和胚胎存活的生物过程和基因网络途径及其与宿主微生物群的关系。
- 批准号:
RGPIN-2017-05194 - 财政年份:2017
- 资助金额:
$ 12.07万 - 项目类别:
Discovery Grants Program - Individual
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