Combining historical agricultural and climate datasets sheds new light on early 20th century barley performance
Combining historical agricultural and climate datasets sheds new light on early 20th century barley performance
复制标题
结合历史农业和气候数据集为 20 世纪初大麦的表现提供了新的线索
DOI：
10.1111/aab.12826
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发表时间：
2023
影响因子：
2.6
通讯作者：
Raymond J
中科院分区：
文献类型：
--
作者：
Raymond J
大麦（Hordeum vulgaressp.vulgare）在全球范围内广泛种植于各种环境中，包括高产农业系统和自给农业，并为动物饲料和麦芽制造业提供了宝贵的原料。然而，随着气候的变化，迫切需要确定适应大麦品种，在增加的环境压力下持续高产。我们预测未来当地气候的能力与气候模型的技能一样好，但我们可以回顾100多年来的确定性。历史天气数据集是确定历史产量变化原因的绝佳资源。在这项研究中，我们结合了最近数字化的历史气象数据从世纪初出版的爱尔兰春大麦试验数据的两个传统品种：ArcherandGoldthorpe，以下分析首先由学生在1923年出版。使用线性混合模型，我们发现，年际变化观察春大麦产量可以部分解释记录的天气变化，特别是7月最高温度和降雨量，8月最高温度。我们发现，虽然Archer在很大程度上产量更高，Goldthorpe在潮湿的生长条件下更稳定，突出了在品种选择中考虑生长气候的重要性。此外，这项研究还证明了获得历史试验和气候数据的好处，以及将气候数据纳入现代育种计划以提高未来品种的气候适应能力的重要性。
Barley (Hordeum vulgaressp.vulgare) is cultivated globally across a wide range of environments, both in highly productive agricultural systems and in subsistence agriculture and provides valuable feedstock for the animal feed and malting industries. However, as the climate changes there is an urgent need to identify adapted barley varieties that will consistently yield highly under increased environmental stresses. Our ability to predict future local climates is only as good as the skill of the climate model, however we can look back over 100 years with much greater certainty. Historical weather datasets are an excellent resource for identifying causes of historical yield variability. In this research we combined recently digitised historical weather data from the early 20th century with published Irish spring barley trials data for two heritage varieties:ArcherandGoldthorpe, following an analysis first published by Student in 1923.Using linear mixed models, we show that interannual variation in observed spring barley yields can be partially explained by recorded weather variability, in particular July maximum temperature and rainfall, and August maximum temperature. We find that whileArcherlargely yields more highly,Goldthorpeis more stable under wetter growing conditions, highlighting the importance of considering growing climate in variety selection. Furthermore, this study demonstrates the benefits of access to historical trials and climatic data and the importance of incorporating climate data in modern day breeding programmes to improve climate resilience of future varieties.
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影响因子：
5
作者：
Lopes, Marta S.
通讯作者：
Lopes, Marta S.
混合模型
DOI：
--
发表时间：
2017
期刊：
影响因子：
--
作者：
L. Broemeling
通讯作者：
L. Broemeling
系列品种试验分析
影响因子：
2.7
作者：
H. D. Patterson
通讯作者：
H. D. Patterson
关于谷物品种的测试
DOI：
--
发表时间：
--
期刊：
影响因子：
--
作者：
Student
通讯作者：
Student
影响因子：
4.2
作者：
Schmidt, Sidsel Birkelund;George, Timothy S.;Husted, Soren
通讯作者：
Husted, Soren