Tropical Animal Health and Production, Journal Year: 2024, Volume and Issue: 56(8)
Published: Sept. 25, 2024
Language: Английский
Biological Research, Journal Year: 2024, Volume and Issue: 57(1)
Published: Nov. 7, 2024
Abstract Conventional pre-genomics breeding methodologies have significantly improved crop yields since the mid-twentieth century. Genomics provides breeders with advanced tools for whole-genome study, enabling a direct genotype–phenotype analysis. This shift has led to precise and efficient development through genomics-based approaches, including molecular markers, genomic selection, genome editing. Molecular such as SNPs, are crucial identifying regions linked important traits, enhancing accuracy efficiency. Genomic resources viz. genetic reference genomes, sequence protein databases, transcriptomes, gene expression profiles, vital in plant aid identification of key understanding diversity, assist mapping, support marker-assisted selection speeding up programs. Advanced techniques like CRISPR/Cas9 allow modification, accelerating processes. Key Genome-Wide Association study (GWAS), Marker-Assisted Selection (MAS), (GS) enable trait prediction outcomes, improving yield, disease resistance, stress tolerance. These handy complex traits influenced by multiple genes environmental factors. paper explores new technologies editing showcasing their impact on developing varieties.
Language: Английский
Citations
12
Animal Frontiers, Journal Year: 2025, Volume and Issue: 15(1), P. 80 - 90
Published: Feb. 1, 2025
Language: Английский
Citations
1
Journal of Dairy Science, Journal Year: 2023, Volume and Issue: 106(6), P. 4380 - 4396
Published: April 6, 2023
The use of assisted-reproduction technologies such as in vitro fertilization (IVF) is increasing, particularly dairy cattle. question consequences later life has not yet been directly addressed by studies on large animal populations. Studies rodents and early data from humans cattle suggest that manipulation gametes embryos could result long-term alteration metabolism, growth, fertility. Our goal was to better describe these presumed the population cows produced IVF Québec (Canada) compare them animals conceived artificial insemination (AI) or multiple ovulation embryo transfer (MOET). To do so, we leveraged a phenotypic database (2.5 million 4.5 lactations) milk records aggregated Lactanet (Sainte-Anne-de-Bellevue, QC, Canada) spanning 2012 2019. We identified 304,163, 12,993, 732 AI, MOET, IVF, respectively, for total 317,888 Holstein which retrieved information 576,448, 24,192, 1,299 lactations (total = 601,939), respectively. Genetic energy-corrected yield (GECM) Lifetime Performance Index (LPI) parents were used normalize genetic potential across animals. When compared with general population, MOET outperformed AI cows. However, when comparing those same only herdmates accounting their higher GECM models, found no statistical difference between conception methods production first 3 lactations. also rate improvement during 2019 period less than observed population. Fertility analysis revealed scored 1 point lower daughter fertility index had longer interval service conception, an average 35.52 d 32.45 31.87 These results highlight challenges elite while attesting progress industry made minimizing epigenetic disturbance production. Nonetheless, additional work required ensure can maintain performance potential.
Language: Английский
Citations
21
The Veterinary Journal, Journal Year: 2024, Volume and Issue: 305, P. 106142 - 106142
Published: May 22, 2024
Gene editing (GnEd) involves using a site-directed nuclease to introduce double-strand break (DSB) at targeted location in the genome. A literature search was performed on use of GnEd animals for agricultural applications. Data extracted from 212 peer-reviewed articles that described production least one living animal employing technologies purposes. The most common system reported CRISPR/Cas9, and frequent type edit unguided insertion or deletion resulting repair DSB leading knock-out (KO) mutation. Animal groups included reviewed papers were ruminants (cattle, sheep, goats, n=63); monogastrics (pigs rabbit, n=60); avian (chicken, duck, quail, n=17); aquatic (many species, n=65), insects (honeybee, silkworm, n=7). Yield (32%), followed by reproduction (21%) disease resistance (17%) most- commonly traits. Over half had Chinese first-authorship. Several countries, including Argentina, Australia, Brazil, Colombia Japan, have adopted regulatory policy considers KO mutations introduced following as akin natural genetic variation, therefore treat these analogously those produced conventional breeding. This approach has resulted non-GMO determination small number food applications, three species fast-growing fish, (red sea bream, olive flounder tiger pufferfish Japan), fish cattle Argentina porcine reproductive respiratory syndrome (PRRS) virus disease-resistant pigs Colombia.
Language: Английский
Citations
7
Animal Reproduction Science, Journal Year: 2023, Volume and Issue: 256, P. 107321 - 107321
Published: Aug. 19, 2023
Language: Английский
Citations
15
Agrarian Bulletin of the, Journal Year: 2024, Volume and Issue: 24(02), P. 218 - 231
Published: Feb. 27, 2024
Abstract. Purpose of the study is analysis productive and reproductive qualities Holstein cattle Tyumen region in comparison with leading American enterprises using genomic selection. Materials methods. Zootechnical, statistical economic methods were used. As part work, tasks solved to consider growth development replacement young animals; main indicators reproduction heifers cows herd analyzed; milk productivity first-calf was estimated according primary accounting data; a zootechnical assessment sires used economy carried out; results compared actual production. The scientific novelty work lies fact that genotyping out conditions large industrial complex, because use evaluation not widely farms Russian Federation. Research results. intensity animals grown Evika-Agro enterprise correspond world standards breed, some cases exceed them. growing allows for earlier insemination, which also contributes early calving - 98% calve up 25 months age. Estimates production are largely consistent those advanced United States. “Evika-Agro” LLC uses outstanding from world’s gene pool improve economically useful traits, thereby accelerating rate Analysis showed significant discrepancy between genetic basis level This most noticeable lifetime earnings index ($ 682) average increase per lactation (916.2 kg) worst best sample.
Language: Английский
Citations
5
Veterinary and Animal Science, Journal Year: 2024, Volume and Issue: 25, P. 100382 - 100382
Published: July 23, 2024
Cattle are regarded as highly valuable animals because of their milk, beef, dung, fur, and ability to draft. The scientific community has tried a number strategies improve the genetic makeup bovine germplasm. To ensure higher returns for dairy beef industries, researchers face greatest challenge in improving commercially important traits. One biggest developments last few decades creation instruments cattle improvement is discovery genome. Breeding livestock being revolutionized by genomic selection made possible availability medium- high-density single nucleotide polymorphism (SNP) arrays coupled with sophisticated statistical techniques. It becoming easier access high-dimensional data cattle. Continuously declining genotyping costs an increase services that use return on investment have both significant contribution this. field genomics come long way thanks groundbreaking discoveries such radiation-hybrid mapping, situ hybridization, synteny analysis, somatic cell genetics, cytogenetic maps, molecular markers, association studies quantitative trait loci, high-throughput SNP genotyping, whole-genome shotgun sequencing genome editing. These advancements had positive impact genomics. This manuscript aimed review recent advances technologies breeding future prospects this field.
Language: Английский
Citations
5
Advanced Science, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 27, 2025
Abstract Whole‐genome sequencing is pivotal for elucidating the complex relationships between genotype and phenotype. However, its widespread application hindered by high depth large sample sizes required, especially genomic selection (GS) reliant on precise phenotype prediction from high‐density data. To address this, DPImpute (Dual‐Phase Impute) developed, an two‐step imputation pipeline enabling accurate whole‐genome SNP genotyping under ultra‐low coverage (ulcWGS) depths, small testing sizes, limited reference populations. achieved 98.06% accuracy with minimal samples (≤10), (≤100), of 0.3X, surpassing existing methods. Moreover, this maintained across multi‐ancestry human Remarkably, demonstrated low‐coverage data single blood cells blastocyst cells, highlighting potential in embryo GS. enhance accessibility DPImpute, a user‐friendly web server ( https://agdb.ecenr.com/DPImpute/home ) developed Docker container seamless implementation. In summary, can significantly expedite breeding programs through cost‐effective serve as valuable tool diverse population genotyping, encompassing both animal studies.
Language: Английский
Citations
0
International Journal of Molecular Sciences, Journal Year: 2025, Volume and Issue: 26(5), P. 2323 - 2323
Published: March 5, 2025
Goats play a vital role in global livestock systems, particularly developing regions, where they contribute significantly to meat production and smallholder livelihoods. Indigenous goats sub-Saharan Africa are essential low-input farming valued for their adaptability harsh environments provision of meat, milk, income. However, genomic research on these remains limited despite importance. Recent advancements technologies, such as next-generation sequencing (NGS), genome-wide association (GWAS) studies, single nucleotide polymorphism (SNP) mapping, have identified key genes like MSTN, IGF1, CAST. These influence muscle growth, fat deposition, tenderness, which critical improving growth performance, carcass characteristics, quality. Genomic selection offers promising avenue enhancing economically valuable traits, faster rates challenging climates. This review highlights the potential integrating tools with traditional breeding practices optimise goat enhance quality, improve economic outcomes farmers. It also underscores need further fully characterise genetic diversity indigenous breeds Africa. Addressing knowledge gaps could region's food security sustainable practices.
Language: Английский
Citations
0
Smart Agricultural Technology, Journal Year: 2024, Volume and Issue: 9, P. 100524 - 100524
Published: Aug. 8, 2024
The agriculture industry is currently facing significant challenges in effectively monitoring the health of livestock. Traditional methods are often labor-intensive, inefficient, and insufficiently responsive to needs modern farming. As number IoT devices proliferates, issues scalability computational load have become prominent, necessitating efficient scalable solutions. This research introduces a cloud-based architecture aimed at enhancing livestock monitoring. system designed track critical indicators such as movement patterns, body temperature, heart rate, utilizing AWS for robust data handling Python processing real-time analytics. proposed incorporates Narrow Band (Nb IoT) technology, which optimized low-bandwidth, long-range communication, making it suitable rural remote farming locations. architecture's allows effective management varying numbers devices, essential adapting changing herd sizes farm scales. Preliminary experiments conducted assess system's performance demonstrated its durability effectiveness, indicating successful integration Cloud services with deployed devices. Furthermore, study explores implementation predictive analytics facilitate proactive By predicting potential before they apparent, can offer improvements animal welfare efficiency. cloud computing not only meets growing technological but also sets new benchmark development sustainable practices. findings from this could broad implications future management, potentially leading widespread adoption technology-driven systems agriculture. would help optimizing globally, thereby productivity sustainability agricultural sector.
Language: Английский
Citations
4