Department of Agricultural and Environmental Sciences - Production, Landscape, Agroenergy, University of Milan, Via Celoria 2, 20133 Milan, Italy.
Department of Agricultural and Environmental Sciences - Production, Landscape, Agroenergy, University of Milan, Via Celoria 2, 20133 Milan, Italy.
Sci Total Environ. 2014 Nov 15;499:497-509. doi: 10.1016/j.scitotenv.2014.05.092. Epub 2014 Jun 6.
The expected climate change will affect the maize yields in view of air temperature increase and scarce water availability. The application of biophysical models offers the chance to design a drought-resistant ideotype and to assist plant breeders and agronomists in the assessment of its suitability in future scenarios. The aim of the present work was to perform a model-based estimation of the yields of two hybrids, current vs ideotype, under future climate scenarios (2030-2060 and 2070-2100) in Lombardy (northern Italy), testing two options of irrigation (small amount at fixed dates vs optimal water supply), nitrogen (N) fertilization (300 vs 400 kg N ha(-1)), and crop cycle durations (current vs extended). For the designing of the ideotype we set several parameters of the ARMOSA process-based crop model: the root elongation rate and maximum depth, stomatal resistance, four stage-specific crop coefficients for the actual transpiration estimation, and drought tolerance factor. The work findings indicated that the current hybrid ensures good production only with high irrigation amount (245-565 mm y(-1)). With respect to the current hybrid, the ideotype will require less irrigation water (-13%, p<0.01) and it resulted in significantly higher yield under water stress condition (+15%, p<0.01) and optimal water supply (+2%, p<0.05). The elongated cycle has a positive effect on yield under any combination of options. Moreover, higher yields projected for the ideotype implicate more crop residues to be incorporated into the soil, which are positively correlated with the SOC sequestration and negatively with N leaching. The crop N uptake is expected to be adequate in view of higher rate of soil mineralization; the N fertilization rate of 400 kg N ha(-1) will involve significant increasing of grain yield, and it is expected to involve a higher rate of SOC sequestration.
预计气候变化将影响玉米产量,这是由于空气温度升高和水资源短缺。应用生物物理模型为设计抗旱理想型提供了机会,并帮助植物育种家和农学家评估其在未来情景中的适宜性。本研究的目的是根据未来气候情景(2030-2060 年和 2070-2100 年),在意大利北部伦巴第地区,对两种杂交种(当前品种和理想型)的产量进行基于模型的估计,测试两种灌溉方式(固定日期少量灌溉和最佳供水)、氮(N)施肥(300 与 400 kg N ha(-1))和作物周期持续时间(当前和延长)的选项。为了设计理想型,我们设定了基于 ARMOSA 过程的作物模型的几个参数:根伸长率和最大深度、气孔阻力、实际蒸腾作用估计的四个特定阶段作物系数和耐旱因子。研究结果表明,当前杂交种只有在高灌溉量(245-565 mm y(-1))的情况下才能确保良好的产量。与当前杂交种相比,理想型需要的灌溉水量更少(-13%,p<0.01),在水分胁迫条件下产量显著更高(+15%,p<0.01),在最佳供水条件下产量更高(+2%,p<0.05)。延长的周期对任何组合选项下的产量都有积极影响。此外,理想型的更高产量意味着更多的作物残茬要纳入土壤,这与 SOC 固存呈正相关,与 N 淋失呈负相关。由于土壤矿化率较高,预计作物氮吸收量充足;400 kg N ha(-1)的施肥率将显著提高谷物产量,并预计 SOC 固存率更高。