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气候变化条件下应对干旱和高温的硬质小麦基因型表现预测。

Performance Prediction of Durum Wheat Genotypes in Response to Drought and Heat in Climate Change Conditions.

机构信息

Agricultural Research Agency of Sardinia, Viale Trieste 111, 09123 Cagliari, Italy.

Institute of BioEconomy (IBE), National Research Council (CNR), Traversa La Crucca 3, 07100 Sassari, Italy.

出版信息

Genes (Basel). 2022 Mar 10;13(3):488. doi: 10.3390/genes13030488.

Abstract

With an approach combining crop modelling and biotechnology to assess the performance of three durum wheat cultivars (Creso, Duilio, Simeto) in a climate change context, weather and agronomic datasets over the period 1973-2004 from two sites, Benatzu and Ussana (Southern Sardinia, Itay), were used and the model responses were interpreted considering the role of DREB genes in the genotype performance with a focus on drought conditions. The CERES-Wheat crop model was calibrated and validated for grain yield, earliness and kernel weight. Forty-eight synthetic scenarios were used: 6 scenarios with increasing maximum air temperature; 6 scenarios with decreasing rainfall; 36 scenarios combining increasing temperature and decreasing rainfall. The simulated effects on yields, anthesis and kernel weights resulted in yield reduction, increasing kernel weight, and shortened growth duration in both sites. Creso (late cultivar) was the most sensitive to simulated climate conditions. Simeto and Duilio (early cultivars) showed lower simulated yield reductions and a larger anticipation of anthesis date. Observed data showed the same responses for the three cultivars in both sites. The CERES-Wheat model proved to be effective in representing reality and can be used in crop breeding programs with a molecular approach aiming at developing molecular markers for the resistance to drought stress.

摘要

采用结合作物模型和生物技术的方法,评估三种硬质小麦品种(Creso、Duilio、Simeto)在气候变化背景下的表现,利用了 1973 年至 2004 年来自两个地点(意大利撒丁岛南部的 Benatzu 和 Ussana)的天气和农艺数据集,并且考虑了 DREB 基因在基因型表现中的作用来解释模型响应,重点关注干旱条件。对 CERES-Wheat 作物模型进行了校准和验证,以模拟籽粒产量、早熟性和籽粒重量。使用了 48 个综合情景:6 个情景下空气最高温度逐渐升高;6 个情景下降雨量逐渐减少;36 个情景下空气最高温度升高和降雨量减少同时发生。在两个地点,产量、开花期和籽粒重量的模拟效果导致产量降低、籽粒重量增加和生长周期缩短。Creso(晚熟品种)对模拟气候条件最敏感。Simeto 和 Duilio(早熟品种)表现出较低的模拟产量降低和更大的开花日期提前。在两个地点,观测数据也显示了三个品种的相同响应。CERES-Wheat 模型被证明在代表现实方面是有效的,并且可以与分子方法的作物育种计划一起使用,目的是开发抗旱应激的分子标记。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c8c/8951375/b4e600fa986a/genes-13-00488-g001.jpg

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