The University of Queensland, Queensland Alliance for Agriculture and Food Innovation (QAAFI), 203 Tor Street, Toowoomba, QLD 4350, Australia.
Department of Plant and Environmental Sciences, Faculty of Science, University of Copenhagen, 2630 Taastrup, Denmark.
Trends Plant Sci. 2017 Jun;22(6):472-490. doi: 10.1016/j.tplants.2017.02.003. Epub 2017 Apr 4.
With world population growing quickly, agriculture needs to produce more with fewer inputs while being environmentally friendly. In a context of changing environments, crop models are useful tools to simulate crop yields. Wheat (Triticum spp.) crop models have been evolving since the 1960s to translate processes related to crop growth and development into mathematical equations. These have been used over decades for agronomic purposes, and have more recently incorporated advances in the modeling of environmental footprints, biotic constraints, trait and gene effects, climate change impact, and the upscaling of global change impacts. This review outlines the potential and limitations of modern wheat crop models in assisting agronomists, breeders, and policymakers to address the current and future challenges facing agriculture.
随着世界人口的快速增长，农业需要在环保的前提下，用更少的投入来生产更多的粮食。在环境不断变化的背景下，作物模型是模拟作物产量的有用工具。自 20 世纪 60 年代以来，小麦（Triticum spp.）作物模型一直在不断发展，将与作物生长和发育相关的过程转化为数学方程。几十年来，这些模型一直被用于农业目的，最近又融入了环境足迹建模、生物限制、性状和基因效应、气候变化影响以及全球变化影响扩大化等方面的进展。本文概述了现代小麦作物模型在帮助农学家、育种家和政策制定者应对农业当前和未来面临的挑战方面的潜力和局限性。
