Vishwa Ranjan Ranjan Upadhyay

Dr. Vishwa Ranjan Ranjan Upadhyay

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Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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18 June 2021 in Andrologia
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Journal Article
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VUVishwa Ranjan Ranjan Upadhyay
Vishwa Ranjan Ranjan Upadhyay
VRVikram Ramesh
Vikram Ramesh
RDRaju Kumar Dewry
Raju Kumar Dewry
GKGaurav Kumar
Gaurav Kumar
KRKathan Raval
Kathan Raval
PPPriyanka Patoliya
Priyanka Patoliya

27 April 2022 in Theriogenology
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Journal Article
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VUVishwa Ranjan Ranjan Upadhyay
Vishwa Ranjan Ranjan Upadhyay
VRVIKRAM RAMESH
VIKRAM RAMESH
RDRaju Kr Dewry
Raju Kr Dewry
DYDileep Kr Yadav
Dileep Kr Yadav
PPPerumal Ponraj
Perumal Ponraj

1 August 2024 in OMICS: A Journal of Integrative Biology
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Journal Article
Closed access
VUVishwa Ranjan Ranjan Upadhyay
Vishwa Ranjan Ranjan Upadhyay
VRVikram Ramesh
Vikram Ramesh
HKHarshit Kumar
Harshit Kumar
YSY. M. Somagond
Y. M. Somagond
SPSwagatika Priyadarsini
Swagatika Priyadarsini
ASArtabandhu Sahoo
Artabandhu Sahoo
Bottlenecks in moving genomics to real-life applications also include phenomics. This is true not only for genomics medicine and public health genomics but also in ecology and livestock phenomics. This expert narrative review explores the intricate relationship between genetic makeup and observable phenotypic traits across various biological levels in the context of livestock research. We unpack and emphasize the significance of precise phenotypic data in selective breeding outcomes and examine the multifaceted applications of phenomics, ranging from improvement to assessing welfare, reproductive traits, and environmental adaptation in livestock. As phenotypic traits exhibit strong correlations, their measurement alongside specific biological outcomes provides insights into performance, overall health, and clinical endpoints like morbidity and disease. In addition, automated assessment of livestock holds potential for monitoring the dynamic phenotypic traits across various species, facilitating a deeper comprehension of how they adapt to their environment and attendant stressors. A key challenge in genetic improvement in livestock is predicting individuals with optimal fitness without direct measurement. Temporal predictions from unmanned aerial systems can surpass genomic predictions, offering in-depth data on livestock. In the near future, digital phenotyping and digital biomarkers may further unravel the genetic intricacies of stress tolerance, adaptation and welfare aspects of animals enabling the selection of climate-resilient and productive livestock. This expert review thus delves into challenges associated with phenotyping and discusses technological advancements shaping the future of biological research concerning livestock.

26 January 2023 in Tropical Animal Health and Production
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Journal Article
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VUVishwa Ranjan Ranjan Upadhyay
Vishwa Ranjan Ranjan Upadhyay
ARA. K. Roy
A. K. Roy
SPSujata Pandita
Sujata Pandita
KRKathan Raval
Kathan Raval
PPPriyanka Patoliya
Priyanka Patoliya
MBMukesh Bhakat
Mukesh Bhakat

11 June 2024 in International Journal of Biometeorology
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Journal Article
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VUVishwa Ranjan Ranjan Upadhyay
Vishwa Ranjan Ranjan Upadhyay
CSC G Shashank
C G Shashank
NSN P Singh
N P Singh

18 March 2025 in Biological Rhythm Research
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Journal Article
Closed access
VUVishwa Ranjan Ranjan Upadhyay
Vishwa Ranjan Ranjan Upadhyay
SPSwagatika Priyadarsini
Swagatika Priyadarsini
MPMranalini Prerna
Mranalini Prerna
AKAruna Kuniyal
Aruna Kuniyal
VPVed Prakash
Ved Prakash
RSR. K. Sawal
R. K. Sawal