Winter Wheat Experiments to Optimize Sowing Dates and Densities in a High-Yielding Environment in New Zealand: Field Experiments and AgMIP-Wheat Multi-Model Simulations

Authors

  • Pierre Martre INRAE
  • Sibylle Dueri LEPSE
  • Hamish Brown The New Zealand Institute for Plant & Food Research Limited
  • Senthold Asseng Technical University of Munich
  • Frank Ewert University of Bonn
  • Heidi Webber Leibniz Centre for Agricultural Landscape Research
  • Mike George The New Zealand Institute for Plant & Food Research Limited
  • Rob Craigie Foundation for Arable Research
  • Jose Guarin University of Florida
  • Diego Pequeno International Maize and Wheat Improvement Center (CIMMYT)
  • Tommaso Stella University of Bonn
  • Mukhtar Ahmed Pir Mehr Ali Shah Arid Agriculture University
  • Phillip Alderman Oklahoma State University
  • Bruno Basso Michigan State University
  • Andres Berger National Institute of Agricultural Research (INIA)
  • Gennady Bracho Mujica University of Göttingen
  • Davide Cammarano Aarhus University
  • Yi Chen Institute of Geographical Sciences and Natural Resources Research
  • Benjamin Dumont University of Liege
  • Ehsan Rezaei Leibniz Centre for Agricultural Landscape Research
  • Elias Fereres University of Cordoba
  • Roberto Ferrise University of Florence
  • Thomas Gaiser University of Bonn
  • Yujing Gao University of Florida
  • Margarita Garcia-Vila University of Cordoba
  • Sebastian Gayler University of Hohenheim
  • Zvi Hochman CSIRO Agriculture and Food
  • Gerrit Hoogenboom University of Florida
  • Kurt Kersebaum Leibniz Centre for Agricultural Landscape Research
  • Claas Nendel Leibniz Centre for Agricultural Landscape Research
  • Jørgen Olesen Aarhus University
  • Gloria Padovan University of Florence
  • Taru Palosuo Natural Resources Institute Finland (Luke)
  • Eckart Priesack Institute of Biochemical Plant Pathology
  • Johannes Pullens Aarhus University
  • Alfredo Rodríguez Technical University of Madrid
  • Reimund Rötter University of Göttingen
  • Margarita Ruiz Ramos Technical University of Madrid
  • Mikhail Semenov Rothamsted Research
  • Nimai Senapati Rothamsted Research
  • Stefan Siebert University of Göttingen
  • Amit Srivastava University of Bonn
  • Claudio Stöckle Washington State University
  • Iwan Supit Wageningen University
  • Fulu Tao Institute of Geographical Sciences and Natural Resources Research
  • Peter Thorburn CSIRO Agriculture and Food
  • Enli Wang CSIRO Agriculture and Food
  • Tobias Weber University of Hohenheim
  • Liujun Xiao Zhejiang University
  • Chuang Zhao CN Agricultural University
  • Jin Zhao Aarhus University
  • Zhigan Zhao CSIRO Agriculture and Food
  • Yan Zhu Nanjing Agricultural University

DOI:

https://doi.org/10.18174/odjar.v10i0.18442

Abstract

This paper describes the data set that was used to test the accuracy of twenty-nine crop models in simulating the effect of changing sowing dates and sowing densities on wheat productivity for a high-yielding environment in New Zealand. The data includes one winter wheat cultivar (Wakanui) grown during six consecutive years, from 2012-2013 to 2017-2018, at two farms located in Leeston and Wakanui in Canterbury, New Zealand. The simulations were carried out in the framework of the Agricultural Model Intercomparison and Improvement Project for wheat (AgMIP-Wheat). Data include local daily weather data, soil profile characteristics and initial conditions, crop measurements at maturity (grain, stem, chaff and leaf dry weight, ear number and grain number, grain unit dry weight), and at stem elongation and anthesis (total above ground dry biomass, leaf number per stem and leaf area index). Several in-season measurements of the normalized difference vegetation index (NDVI) and the fraction of intercepted photosynthetically active radiation (FIPAR) are also available. The crop model simulations include both daily in-season and end-of-season results from twenty-nine wheat models.

Published

2024-09-20

Issue

Section

Articles