Wan Chenxi, Dang Pengfei, Gao Licheng, Wang Jiale, Tao Jincai, Qin Xiaoliang, Feng Baili, Gao Jinfeng
State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Xianyang, China.
Front Plant Sci. 2022 Jun 30;13:896985. doi: 10.3389/fpls.2022.896985. eCollection 2022.
Wheat ( L.) is one of the most significant cereal crops grown in the semi-arid and temperate regions of the world, but few studies comprehensively explore how the environment affects wheat yield and protein content response to drought by means of meta-analysis. Therefore, we collected data about grain yield (GY), grain protein yield (GPY), grain protein content (GPC), and grain nitrogen content (GNC), and conducted a meta-analysis on 48 previously published data sets that originate from 15 countries. Our results showed that drought significantly decreased GY and GPY by 57.32 and 46.04%, but significantly increased GPC and GNC by 9.38 and 9.27%, respectively. The responses of wheat GY and GNC to drought were mainly related to the drought type, while the GPY was mainly related to the precipitation. The yield reduction due to continuous drought stress (CD, 83.60%) was significantly greater than that of terminal drought stress (TD, 26.43%). The relationship between the precipitation and GPY increased in accordance with linear functions, and this negative drought effect was completely eliminated when the precipitation was more than 513 mm. Sandy soils and high nitrogen application level significantly mitigated the negative effects of drought, but was not the main factor affecting the drought response of wheat. Compared with spring wheat, the drought resistance effect of winter wheat was more obvious. Evaluation of these models can improve our quantitative understanding of drought on wheat yield and food security, minimizing the negative impact of drought on crop production.
小麦（L.）是世界半干旱和温带地区种植的最重要的谷类作物之一，但很少有研究通过荟萃分析全面探讨环境如何影响小麦产量以及蛋白质含量对干旱的响应。因此，我们收集了有关籽粒产量（GY）、籽粒蛋白质产量（GPY）、籽粒蛋白质含量（GPC）和籽粒氮含量（GNC）的数据，并对来自15个国家的48个先前发表的数据集进行了荟萃分析。我们的结果表明，干旱显著降低了GY和GPY，降幅分别为57.32%和46.04%，但显著提高了GPC和GNC，增幅分别为9.38%和9.27%。小麦GY和GNC对干旱的响应主要与干旱类型有关，而GPY主要与降水量有关。持续干旱胁迫（CD，83.60%）导致的产量下降显著大于终末期干旱胁迫（TD，26.43%）。降水量与GPY之间的关系呈线性函数增加，当降水量超过513毫米时，这种干旱负面影响完全消除。沙质土壤和高施氮水平显著减轻了干旱的负面影响，但不是影响小麦干旱响应的主要因素。与春小麦相比，冬小麦的抗旱效果更明显。对这些模型的评估可以提高我们对干旱对小麦产量和粮食安全影响的定量理解，最大限度地减少干旱对作物生产的负面影响。
