Biography and Research Information
OverviewAI-generated summary
N Jahan's research investigates factors influencing livestock physiology and performance. Their work includes studying the effects of heat stress on broilers, examining circulating hormonal and gene expression profiles in birds selected for different water efficiencies. Jahan also explores the impact of dietary supplements, such as butyrine glycerides, on the performance metrics and egg quality of laying pullets. In addition to animal science, Jahan's research extends to environmental modeling, with work on hybrid deep learning models for predicting daily river discharge.
Jahan has contributed to three publications and collaborates with Lulu Liu from the Arkansas Agricultural Experiment Station.
Metrics
- Publications: 3
Selected Publications
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Circulating hormonal and gene expression profile in heat-stressed broilers divergently selected for high or low water efficiency (2026)
Collaboration Network
Top Collaborators
Biplab Kumar Dey
Bangladesh Agricultural University (BD)
1 shared publication
- Effect of butyrine glycerides on the performance metrics and egg quality in laying pullets
PK Goswami
Bangladesh Agricultural University (BD)
1 shared publication
- Effect of butyrine glycerides on the performance metrics and egg quality in laying pullets
QAH Roddur
Bangladesh Agricultural University (BD)
1 shared publication
- Effect of butyrine glycerides on the performance metrics and egg quality in laying pullets
S Koly
Bangladesh Agricultural University (BD)
1 shared publication
- Effect of butyrine glycerides on the performance metrics and egg quality in laying pullets
AR Asif
Bangladesh Agricultural University (BD)
1 shared publication
- Effect of butyrine glycerides on the performance metrics and egg quality in laying pullets
Md. Touhidul Islam
Bangladesh Agricultural University (BD)
1 shared publication
- Hybrid deep learning models for daily river discharge prediction: lead-time performance analysis in Mymensingh, Bangladesh
Md. Abdullah Al-Sufi Ridoy
Bangladesh Agricultural University (BD)
1 shared publication
- Hybrid deep learning models for daily river discharge prediction: lead-time performance analysis in Mymensingh, Bangladesh
Asif Ahammed
Bangladesh Agricultural University (BD)
1 shared publication
- Hybrid deep learning models for daily river discharge prediction: lead-time performance analysis in Mymensingh, Bangladesh
A. K. M. Adham
Bangladesh Agricultural University (BD)
1 shared publication
- Hybrid deep learning models for daily river discharge prediction: lead-time performance analysis in Mymensingh, Bangladesh
Lulu Liu
University of Arkansas at Fayetteville
1 shared publication
In database
- Circulating hormonal and gene expression profile in heat-stressed broilers divergently selected for high or low water efficiency
Sara Orlowski
University of Arkansas at Fayetteville (US)
1 shared publication
- Circulating hormonal and gene expression profile in heat-stressed broilers divergently selected for high or low water efficiency
Elizabeth S Greene
University of Arkansas at Fayetteville (US)
1 shared publication
- Circulating hormonal and gene expression profile in heat-stressed broilers divergently selected for high or low water efficiency
Sami Dridi
University of Arkansas System (US)
1 shared publication
- Circulating hormonal and gene expression profile in heat-stressed broilers divergently selected for high or low water efficiency
Similar Researchers
Based on overlapping research topics
Frederick W. Spiegel
University of Arkansas at Fayetteville
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Craig N. Coon
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Andrew Bailey
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Lakan D Guelker
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