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根系增殖适应策略提高了美国大平原地区玉米的生产力:未来气候变化下作物模拟模型的启示。

Root proliferation adaptation strategy improved maize productivity in the US Great Plains: Insights from crop simulation model under future climate change.

机构信息

Carl and Melinda Helwig Department of Biological and Agricultural Engineering, Kansas State University, Manhattan, KS 66506, United States.

Carl and Melinda Helwig Department of Biological and Agricultural Engineering, Kansas State University, Manhattan, KS 66506, United States.

出版信息

Sci Total Environ. 2024 Jun 1;927:172205. doi: 10.1016/j.scitotenv.2024.172205. Epub 2024 Apr 9.

Abstract

Adaptation measures are essential for reducing the impact of future climate risks on agricultural production systems. The present study focuses on implementing an adaptation strategy to mitigate the impact of future climate change on rainfed maize production in the Eastern Kansas River Basin (EKSRB), an important rainfed maize-producing region in the US Great Plains, which faces potential challenges of future climate risks due to a significant east-to-west aridity gradient. We used a calibrated CERES-Maize crop model to evaluate the impacts of baseline climate conditions (1985-2014), late-term future climate scenarios (under the SSP245 emission pathway and CMIP6 models), and a novel root proliferation adaptation strategy on regional maize yield and rainfall productivity. Changes in the plant root system by increasing the root density could lead to yield benefits, especially under drought conditions. Therefore, we modified the governing equation of soil root growth in the CERES-Maize model to reflect the genetic influence of a maize cultivar to improve root density by proliferation. Under baseline conditions, maize yield values ranged from 6522 to 12,849 kgha, with a regional average value of 9270 kgha. Projections for the late-term scenario indicate a substantial decline in maize yield (36 % to 50 %) and rainfall productivity (25 % to 42 %). Introducing a hypothetical maize cultivar by employing root proliferation as an adaptation strategy resulted in a 27 % increase in regional maize yield, and a 28 % increase in rainfall productivity compared to the reference cultivar without adaptation. We observed an indication of spatial dependency of maize yield and rainfall productivity on the regional precipitation gradient, with counties towards the east having an implicit advantage over those in the west. These findings offer valuable insights for the US Great Plains maize growers and breeders, guiding strategic decisions to adapt rainfed maize production to the region's impending challenges posed by climate change.

摘要

适应措施对于减少未来气候风险对农业生产系统的影响至关重要。本研究重点关注实施适应策略,以减轻未来气候变化对美国大平原重要雨养玉米产区——东堪萨斯河盆地(EKSRB)雨养玉米生产的影响,该地区由于东西向的显著干旱梯度,面临未来气候风险的潜在挑战。我们使用校准的 CERES-Maize 作物模型评估了基线气候条件(1985-2014 年)、晚期未来气候情景(在 SSP245 排放路径和 CMIP6 模型下)以及一种新的根系扩张适应策略对区域玉米产量和降雨生产力的影响。通过增加根密度改变植物根系系统可能会带来产量收益,特别是在干旱条件下。因此,我们修改了 CERES-Maize 模型中土壤根生长的控制方程,以反映玉米品种的遗传影响,通过增殖来提高根密度。在基线条件下,玉米产量值范围为 6522 至 12849 kgha,区域平均值为 9270 kgha。晚期情景的预测表明,玉米产量(36%至 50%)和降雨生产力(25%至 42%)将大幅下降。通过采用根系扩张作为适应策略引入一个假设的玉米品种,与没有适应措施的参考品种相比,区域玉米产量增加了 27%,降雨生产力增加了 28%。我们观察到玉米产量和降雨生产力对区域降水梯度的空间依赖性的迹象,东部的县比西部的县具有隐含优势。这些发现为美国大平原的玉米种植者和培育者提供了有价值的见解,指导他们做出战略决策,使雨养玉米生产适应该地区即将面临的气候变化挑战。

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