Munish Gangwar

Artificial intelligence in animal breeding: Transforming breeding prediction for sustainable livestock improvement

Vikas Diwakar, Manish Kumar Verma, Munish Gangwar, Lavish Chelani et autres

Artificial intelligence (AI) has emerged as a transformative technology in livestock breeding, enabling rapid and accurate prediction of breeding values. Conventional genetic evaluation methods such as BLUP have served breeding programs for decades but often require complete performance records and assume linear …

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Smart dairy farming: Automation, artificial intelligence and precision livestock technologies: Current advances, challenges and future perspectives

debapritam Deb, Manish Kumar Verma, Vikas Diwakar, Munish Gangwar

The global dairy industry is undergoing a technological transformation driven by rapid advances in automation, Artificial Intelligence (AI), the Internet of Things (IoT), robotics, cloud computing, and Precision Livestock Farming (PLF). Increasing herd sizes, labour shortages, growing concerns regarding animal welfare, environmental …

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Whole genome resequencing reveals the genetic basis of stature in short-statured Indian cattle

Sheikh Firdous Ahmad, Ovais Aarif, Mir Mehroz Hassan, Roshni Chand et autres

India possesses a rich diversity of indigenous cattle that are well adapted to varied agro-climatic regions. These populations exhibit remarkable variation in stature (height at withers), ranging from short-statured types such as Vechur, Punganur, Malnad Gidda, and Khariar to tall and heavy …

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Selection signature analysis for immunity and production traits in semi-arid Indian sheep breeds

Rohit Barwar, KA Saravanan, Gyanendra Kumar Gaur, Munish Gangwar et autres

Understanding genomic regions under selection is crucial for improving productivity and resilience in indigenous livestock. In this study, whole-genome resequencing (LC-WGS) was performed on Malpura and Patanwadi sheep to identify nucleotide diversity patterns and selection signatures associated with immune and production traits. …

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Polymorphic microsatellite loci from ddRAD sequencing data in different Indian yak populations adapted to diverse climatic conditions

Sheikh Firdous Ahmad, Roshni Chand, Munish Gangwar, M Rudhreswaran et autres

Microsatellites are highly polymorphic, codominant, and reproducible molecular markers that are fairly evenly distributed across the eukaryotic genomes. Although cattle-specific microsatellite markers have been employed in yak, no species-specific marker set has yet been established in this unique species. The present study …

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Meta‐Analysis of Genetic and Phenotypic Parameters for Performance Traits in Indian Crossbred Cattle

J. Rath, Munish Gangwar, Sheikh Firdous Ahmad, Anuj Chauhan et autres

Genetic and phenotypic parameters of traits related to growth, production and reproduction are crucial in the formulation of successful breeding programmes. Given the diversity in the cattle population of India, meta-analysis offers a comprehensive insight into the overall performance of the crossbred …

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Dissecting genomes of multiple yak populations: unveiling ancestry and high-altitude adaptation through whole-genome resequencing analysis

Sheikh Firdous Ahmad, Munish Gangwar, Amit Kumar, Amod Kumar et autres

The present study was undertaken to elucidate the population structure and differentiation of Indian yak from Chinese and wild cohorts on genome-wide scale by identifying the selection sweeps and genomic basis of their adaptation across different comparisons while analyzing whole genome sequencing …

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Exploring genetic variants affecting milk production traits through genome-wide association study in Vrindavani crossbred cattle of India

Munish Gangwar, Subodh Kumar, Sheikh Firdous Ahmad, Akanksha Singh et autres

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Deciphering new insights into copy number variations as drivers of genomic diversity and adaptation in farm animal species

C. S. Celus, Sheikh Firdous Ahmad, Munish Gangwar, Subodh Kumar et autres

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Comparative analysis of marker selection approaches for population stratification in Garole and Deccani sheep

Munish Gangwar, Rohit Barwar, Sheikh Firdous Ahmad

The present study was undertaken to identify ancestry-informative single nucleotide polymorphism (SNP) markers from medium-density Ovine50K genotyping data for the development of low-density SNP panels in Deccani and Garole sheep breeds of India. These panels can be used for efficient and cost-effective …

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Identifying low-density, ancestry-informative SNP markers through whole genome resequencing in Indian, Chinese, and wild yak

Munish Gangwar, Sheikh Firdous Ahmad, Amit Kumar, Amod Kumar et autres

The current investigation was undertaken to elucidate the population-stratifying and ancestry-informative markers in Indian, Chinese, and wild yak populations using whole genome resequencing (WGS) analysis while employing various selection strategies ( Delta , Pairwise Wright’s Fixation Index - F ST , and …

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Pedigree-based analysis of population structure and genetic diversity in high-milch Vrindavani crossbred cattle of India

Munish Gangwar, Sheikh Firdous Ahmad, Gyanendra Kumar Gaur, Jayesh Vyas et autres

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