冬小麦籽粒蛋白质含量的半经验模型

Qian Wang, Cunjun Li, Yuanpi Huang, Wude Yang, Wen-jiang Huang, Ji‐Hua Wang
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引用次数: 0

摘要

冬小麦籽粒蛋白质含量(GPC)是评价籽粒品质的重要指标。为了在GPC成熟前进行预测,迫切需要一个及时、简单的GPC模型。GPC模型包括开花和花期后干物质和氮积累及转运的回归模型,并结合历史和当季数据,考虑土壤氮供应和气象因素,最终计算GPC为成熟期籽粒氮积累与干物质之比。本研究在2003-2006年和2008-2011年生长季进行了6次田间试验,建立并验证了该模型。采用分畦设计对施氮量、播期和品种进行三因子安排。通过野外测量确定了关键生长参数,并收集了生长期的历史季节气象资料。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Semi-Empirical Model of Winter Wheat Grain Protein Content
Winter wheat grain protein content (GPC) is an important criterion for assessing grain quality. A timely and simple GPC model is urgently required for GPC prediction ahead of maturity. The GPC model included regressional models of dry matter and N accumulation and translocation for anthesis and post-anthesis stages, and incorporated both soil nitrogen (N) supply and meterological factors based on historical as well as current season data, final GPC were calculated as the ratio of N accumulation to dry matter in grain at maturity. This study conducted six field experiments during the 2003–2006 and 2008–2011 growing seasons to establish and validate the model. A three-way factorial arrangement of N fertilization, sowing date, and cultivar was conducted using a split-plot design. Critical growth parameters were determined by field measurements, and historical seasonal meteorological data covering the growing period were collected.
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