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Hans-Peter Piepho

Hans-Peter Piepho

D-Index & Metrics

Biology and Biochemistry

D-Index
90
Citations
28936
World Ranking
2440
National Ranking
172

Overview

Hans-Peter Piepho is affiliated with the University of Hohenheim in Germany. Their research primarily falls within the Agricultural and Biological Sciences, with a significant focus on Plant Science, Genetics, Agronomy and Crop Science, Soil Science, and Ecology, Evolution, Behavior and Systematics.

The scientist's work covers various topics related to genetics and plant breeding, genetic and phenotypic traits in livestock, genetic mapping and diversity in plants and animals, wheat and barley genetics and pathology, optimal experimental design methods, crop yield and soil fertility, and soil carbon and nitrogen dynamics.

They have contributed to the following recent papers:

  • Peptide signaling for drought-induced tomato flower drop, 2020, Science
  • Enviromics in breeding: applications and perspectives on envirotypic-assisted selection, 2020, Theoretical and Applied Genetics
  • Methods of yield stability analysis in long-term field experiments. A review, 2021, Agronomy for Sustainable Development
  • Heritable microbiome variation is correlated with source environment in locally adapted maize varieties, 2024, Nature Plants
  • Microbial growth and carbon use efficiency show seasonal responses in a multifactorial climate change experiment, 2020, Communications Biology

Their frequent coauthors include:

  • Waqas Ahmed Malik
  • Friedrich Laidig
  • Til Feike
  • Joseph O. Ogutu
  • Emlyn Williams

Their publications are often found in these venues:

  • Theoretical and Applied Genetics
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Biometrical Journal
  • Zenodo (CERN European Organization for Nuclear Research)
  • arXiv (Cornell University)

Best Publications

  • BLUP for phenotypic selection in plant breeding and variety testing

    H. P. Piepho;J. Möhring;A. E. Melchinger;A. Büchse

  • Statistical Analysis of Yield Trials by AMMI and GGE: Further Considerations

    Hugh G. Gauch;Hans-Peter Piepho;Paolo Annicchiarico

  • Computing Heritability and Selection Response From Unbalanced Plant Breeding Trials

    Hans-Peter Piepho;Jens Möhring

  • Genomic selection using regularized linear regression models: ridge regression, lasso, elastic net and their extensions

    Joseph O Ogutu;Torben Schulz-Streeck;Hans-Peter Piepho

  • The area under the disease progress stairs: calculation, advantage, and application.

    Ivan Simko;Hans-Peter Piepho

  • Extreme Wildlife Declines and Concurrent Increase in Livestock Numbers in Kenya: What Are the Causes?

    Joseph O. Ogutu;Hans-Peter Piepho;Mohamed Y. Said;Gordon O. Ojwang

  • An Algorithm for a Letter-Based Representation of All-Pairwise Comparisons

    Hans-Peter Piepho

  • A Hitchhiker's guide to mixed models for randomized experiments

    H. P. Piepho;A. Buchse;K. Emrich

  • A comparison of random forests, boosting and support vector machines for genomic selection

    Joseph O Ogutu;Hans-Peter Piepho;Torben Schulz-Streeck

  • Methods for Comparing the Yield Stability of Cropping Systems

    H.-P. Piepho

  • Continuing wildlife population declines and range contraction in the Mara region of Kenya during 1977-2009

    Joseph O. Ogutu;Joseph O. Ogutu;N. Owen-Smith;Hans-Peter Piepho;Mohammed Yahya Said

  • Ridge Regression and Extensions for Genomewide Selection in Maize

    H. P. Piepho

  • Comparison of mixed-model approaches for association mapping.

    Benjamin Stich;Jens Möhring;Hans-Peter Piepho;Martin Heckenberger

  • Comparison of Weighting in Two-Stage Analysis of Plant Breeding Trials

    J. Möhring;H.-P. Piepho

  • ANALYZING GENOTYPE-ENVIRONMENT DATA BY MIXED MODELS WITH MULTIPLICATIVE TERMS

    H.-P. Piepho

  • Dynamics of Mara-Serengeti ungulates in relation to land use changes

    Joseph O. Ogutu;Hans-Peter Piepho;H.T. Dublin;N. Bhola

  • Rainfall influences on ungulate population abundance in the Mara-Serengeti ecosystem.

    J. O. Ogutu;H.-P. Piepho;H. T. Dublin;N. Bhola

  • A Mixed Modelling Approach for Randomized Experiments with Repeated Measures

    H. P. Piepho;A. Buchse;C. Richter

  • Empirical best linear unbiased prediction in cultivar trials using factor-analytic variance-covariance structures

    Hans-Peter Piepho

  • Drought yield index to select high yielding rice lines under different drought stress severities

    Anitha Raman;Satish Verulkar;Nimai Mandal;Mukund Variar

Frequent Co-Authors

Joseph O. Ogutu
Joseph O. Ogutu University of Hohenheim
Albrecht E. Melchinger
Albrecht E. Melchinger University of Hohenheim
Frank Hochholdinger
Frank Hochholdinger University of Bonn
Rainer Mosenthin
Rainer Mosenthin University of Hohenheim
Robin S. Reid
Robin S. Reid Colorado State University
Jochen C. Reif
Jochen C. Reif Leibniz Association
Georg Cadisch
Georg Cadisch University of Hohenheim
Rainer Georg Joergensen
Rainer Georg Joergensen University of Kassel
Bernard Ludwig
Bernard Ludwig University of Kassel
Jörn Bennewitz
Jörn Bennewitz University of Hohenheim

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