Pleiotropy, epistasis and the genetic architecture of quantitative traits

Nature Reviews Genetics, Год журнала: 2024, Номер 25(9), С. 639 - 657

Опубликована: Апрель 2, 2024

Язык: Английский

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Advancing genetic improvement in the omics era: status and priorities for United States aquaculture

BMC Genomics, Год журнала: 2025, Номер 26(1)

Опубликована: Фев. 17, 2025

The innovations of the "Omics Era" have ushered in significant advancements genetic improvement agriculturally important animal species through transforming genetics, genomics and breeding strategies. These were often coordinated, part, by support provided over 30 years 1993-2023 National Research Support Project 8 (NRSP8, Animal Genome Program, NAGRP) affiliate projects focused on enabling genomic discoveries livestock, poultry, aquaculture species. parallel advances demand strategic planning future research priorities. This paper, as an output from May 2023 Aquaculture Genomics, Genetics, Breeding Workshop, provides updated status resources for United States species, highlighting major achievements emerging Finfish shellfish genome omics enhance our understanding architecture heritability performance production traits. Workshop identified present aims genomics/omics to build this progress: (1) advancing reference assembly quality; (2) integrating multi-omics data analysis traits; (3) developing collection integration phenomics data; (4) creating pathways applying information across industries; (5) providing training, extension, outreach application phenome. focuses should emphasize collection, artificial intelligence, identifying causative relationships between genotypes phenotypes, establishing apply tools industries, expansion training programs next-generation workforce facilitate sciences into operations productivity, competitiveness, sustainability. collective vision with focus highlighted priorities is intended continued advancement genomics, genetics community industries. Critical challenges ahead include practical analytical frameworks beyond academic communities that require collaborative partnerships academia, government, industry. scope review encompasses use applications study aquatic animals cultivated human consumption settings throughout their life-cycle.

Язык: Английский

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Enhancing Animal Production through Smart Agriculture: Possibilities, Hurdles, Resolutions, and Advantages

Ruminants, Год журнала: 2024, Номер 4(1), С. 22 - 46

Опубликована: Янв. 26, 2024

Smart livestock farming utilizes technology to enhance production and meet food demand sustainably. This study employs surveys case studies gather data information, subsequently analyzing it identify opportunities challenges. The proposed solutions encompass remote sensing, integration, farmer education, stakeholder engagement. research delves into smart technologies in animal production, addressing opportunities, challenges, potential solutions. agriculture modern improve efficiency, sustainability, welfare farming. includes monitoring, GPS-based care, robotic milking, health collars, predictive disease control, other innovations. Despite the great promise of there are existing challenges such as cost, management, connectivity. To overcome these involve education. provides for increased improved welfare, enhanced environmental conservation. A well-planned approach is crucial maximize benefits while ensuring its long-term sustainability. confirms growing adoption with support sustainable development goals deliver productivity resource efficiency. fully realize ensure sustainability farming, cost education essential. Therefore, this recommends promoting a positive outlook among stakeholders embracing farm performance.

Язык: Английский

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Trends towards revealing the genetic architecture of sheep tail patterning: Promising genes and investigatory pathways

Animal Genetics, Год журнала: 2021, Номер 52(6), С. 799 - 812

Опубликована: Сен. 1, 2021

Different sheep breeds have evolved after initial domestication, generating various tail phenotypic patterns. The diversity of patterns offers ideal materials for comparative analysis its genetic basis. Evolutionary biologists, animal geneticists, breeders, and producers been curious to clearly understand the underlying genetics behind differences in tails. Understanding causal gene(s) mutation(s) these will help probe an evolutionary riddle, improve production performance, promote welfare, provide lessons that comprehend human diseases related fat deposition (i.e., obesity). Historically, tails served as adaptive response aridification climate change. However, is currently associated with compromised mating locomotion, distribution body, increased raising costs, reduced consumer preference, other welfare issues such docking. developing genomic approaches unprecedented opportunities determine variants among populations. In last decade, researchers performed several investigations assess causality variations Various genes suggested prominence potentially significant causatives, including BMP2 PDGFD phenotype TBXT gene linked caudal vertebrae number length. Although potential characteristics revealed, variant(s) high-ranking candidate are still elusive need further investigation. review discusses genes, sheds light on a knowledge gap, provides possible investigative could specific causatives Besides, characterizing revealing determinism solve compromising breeding future.

Язык: Английский

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Applications of Omics Technology for Livestock Selection and Improvement

Frontiers in Genetics, Год журнала: 2022, Номер 13

Опубликована: Июнь 2, 2022

Conventional animal selection and breeding methods were based on the phenotypic performance of animals. These have limitations, particularly for sex-limited traits expressed later in life cycle (e.g., carcass traits). Consequently, genetic gain has been slow with high generation intervals. With advent high-throughput omics techniques availability multi-omics technologies sophisticated analytic packages, several promising tools developed to estimate actual potential It now become possible collect access large complex datasets comprising different genomics, transcriptomics, proteomics, metabolomics, phonemics data as well animal-level (such longevity, behavior, adaptation, etc.,), which provides new opportunities better understand mechanisms regulating animals’ performance. The cost technology expertise fields like biology, bioinformatics, statistics, computational biology make these impediments its use some cases. population size accurate recordings are other significant constraints appropriate strategies. Nevertheless, can more values (BVs) increase by assisting section genetically superior, disease-free animals at an early stage enhancing productivity profitability. This manuscript overview various their limitations decisions.

Язык: Английский

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Digital Phenotyping: A Game Changer for the Broiler Industry

Animals, Год журнала: 2023, Номер 13(16), С. 2585 - 2585

Опубликована: Авг. 10, 2023

In response to escalating global demand for poultry, the industry grapples with an array of intricate challenges, from enhancing productivity improving animal welfare and attenuating environmental impacts. This comprehensive review explores transformative potential digital phenotyping, emergent technological innovation at cusp dramatically reshaping broiler production. The central aim this study is critically examine phenotyping as a pivotal solution these multidimensional conundrums. Our investigation spotlights profound implications ‘digital twins’ in burgeoning field genomics, where production exact counterparts physical entities accelerates genomics research its practical applications. Further, probes into ongoing advancements development context-sensitive, multimodal platform, custom-built monitor health. paper evaluates platform’s revolutionizing health monitoring, fortifying resilience production, fostering harmonious balance between sustainability. Subsequently, provides rigorous assessment unique challenges that may surface during integration within industry. These span technical economic impediments ethical deliberations, thus offering perspective. concludes by highlighting game-changing identifying future directions field, underlining significance continued unlocking phenotyping’s full potential. doing so, it charts course towards more robust, sustainable, productive insights garnered hold substantial value broad spectrum stakeholders industry, setting stage imminent evolution poultry

Язык: Английский

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Comparación de métodos de aprendizaje automático para predicción de valores de cría genómicos en características de crecimiento en bovinos Suizo Europeo

Revista Mexicana de Ciencias Pecuarias, Год журнала: 2025, Номер 16(1), С. 179 - 193

Опубликована: Фев. 19, 2025

Los algoritmos de Aprendizaje Automático (AA) han demostrado ventaja al abordar desafíos asociados con la cantidad y complejidad información, permiten descubrir patrones, realizar análisis eficientes servir como herramienta para toma decisiones. Este estudio, tuvo objetivo comparar cuatro métodos AA: redes neuronales artificiales (RN), árboles regresión (AR), bosques aleatorios (BA) máquina soporte vectorial (SVM) predecir el valor genómico en bovinos Suizo Europeo utilizando registros fenotípicos pesos nacimiento (PN), destete (PD) año (PA), así información genómica. resultados indican que capacidad predictiva los modelos varía según característica disponible. En general, RN, BA SVM mostraron un desempeño similar, mientras AR inferior. La metodología destacó mayor potencial, obteniendo valores más altos correlación Pearson entre fenotipos corregidos genéticos predichos PD. A pesar costo computacional, RN razonable, especialmente PN PA. selección del modelo final depende las necesidades particulares aplicación, factores prácticos disponibilidad datos, recursos computacionales interpretabilidad; pero surgieron opciones sólidas varias categorías.

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Alternative methods to animal experimentation in rabbit nutrition trials integrating the 3Rs principles

World Rabbit Science, Год журнала: 2025, Номер 33(1), С. 37 - 61

Опубликована: Март 31, 2025

Animal studies are essential to nutrition research, particularly in investigating the effects of dietary changes on animal growth, reproduction, health and metabolism. These provide quantitative data feedstuffs’ nutritive value response diets, indispensable for building accurate nutrient databases defining requirements, respectively. However, advancements (bio)technologies have encouraged development non-animal alternatives rabbit research. Moreover, Europe’s commitment replacing animals scientific purposes emphasises need regulate harmonise experimentation according principles 3Rs (Replacement, Reduction Refinement). While methods remain necessary some cases, attention must be paid their reliability validity, alongside adoption alternative methods. Alternative approaches include prediction equations estimate nutritional feedstuffs based chemical composition, vitro models simulate digestibility fermentability diets feedstuffs, use near-infrared spectroscopy (NIRS) calculate feed composition value. Other non-animal-based using mathematical modelling cell/tissue/organ culture also rapidly evolving test responses changes. can achieved through extensive literature searches, careful experimental design, statistical sharing avoid unnecessary duplication experiments. Refinement includes appropriate housing, care enrichment minimise suffering used Additionally, integrating precision livestock farming technology into research practices omics tools non-invasive procedures contribute refining trials. The aim this work was critically review these following Replacement, nutrition. We first examine already existing possibilities practical later discuss adequacy. Recommendations designing trials further needs, opportunities challenges that pursue any will reviewed light

Язык: Английский

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Review: Genomic selection in the era of phenotyping based on digital images

animal, Год журнала: 2025, Номер unknown, С. 101486 - 101486

Опубликована: Март 1, 2025

Язык: Английский

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Predicting Genotype × Environment × Management (G × E × M) Interactions for the Design of Crop Improvement Strategies

Plant breeding reviews, Год журнала: 2022, Номер unknown, С. 467 - 585

Опубликована: Ноя. 18, 2022

Genotype-by-environment-by-management (G × E M) interactions for crop productivity represent both challenges and opportunities long-term improvement. They need to be understood harnessed accelerate improvement improve our chances of achieving the targets sustainable agriculture global food security that are required enable development ( https://sdgs.un.org/goals ). Experimental efforts have emerged quantify their importance, study genetic ecophysiological bases, support exploit nascent opportunities. The large complex G M factorial limits scope feasibility purely experimental approaches at all stages programs. However, iterative modeling approaches, combined with advances in genomics, enviromics, phenomics, simulation, prediction methodologies, offer a range opportunities, covering genomic breeding agronomic enhancing realization on-farm managing risk. There has been limited coordination date. We consider different perspectives each area toward integration. This aims bring an "end-to-end" perspective methodology improvement; from creation new genotypes programs use combination management strategies within production systems. draw on historical current yield maize Zea mays L.) US Corn Belt as source examples. Extensions examples other crops geographies also considered. Opportunities circular strategies, balance resource use, identified potential future.

Язык: Английский

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