Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, Canada.
Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, Canada.
J Sci Food Agric. 2023 Jul;103(9):4380-4391. doi: 10.1002/jsfa.12504. Epub 2023 Mar 7.
Most plant breeding and agricultural practices are based on selecting genotypes for yield. However, this is inadequate to screen crop varieties for specific attributes, such as drought tolerance. In this study, we quantified the response of oat (Avena sativa L.) plant physiological and morphological traits to drought stress and selected some key traits to establish a genotype by yield*trait (GYT)-based method for ranking 30 oat genotypes. The effectiveness of this method was also evaluated under drought conditions.
Water-deficit treatment significantly reduced leaf chlorophyll, root morphological traits, groat yield and associated components, such as mean grain weight. We observed that the genotypes 'JUSTICE' and 'BOLINA' had the smallest and largest yield loss, respectively, after exposure to drought stress, but showed opposite trends in the biomass allocation of roots and grains. This indicated that drought tolerance was highly dependent on the distribution of photoassimilates. Our results also illustrated that the GYT method is a trade-off approach and more effective in selecting oat ideotypes under drought conditions than the yield-related index method because it combines yield, yield stability, and related agronomic traits in the calculation process.
Drought-tolerant genotypes had more biomass allocated to roots and grains with higher chlorophyll content and better root structure, e.g. longer root lengths than drought-sensitive lines. By integrating yield and yield-related traits, the GYT approach is more practical than traditional single-trait selection methods when assessing drought tolerance. © 2023 His Majesty the King in Right of Canada. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry. Reproduced with the permission of the Minister of Agriculture and Agri-Food Canada.
大多数植物育种和农业实践都是基于选择产量的基因型。然而，这不足以筛选具有特定属性的作物品种，例如耐旱性。在这项研究中，我们量化了燕麦（Avena sativa L.）植物生理和形态特征对干旱胁迫的响应，并选择了一些关键特征，以基于产量*特征（GYT）的方法建立基因型，对 30 个燕麦基因型进行排名。还评估了该方法在干旱条件下的有效性。
水分亏缺处理显著降低了叶片叶绿素、根系形态特征、麦粒产量和相关成分，如平均粒重。我们观察到，在暴露于干旱胁迫后，基因型“JUSTICE”和“BOLINA”的产量损失最小和最大，但根和籽粒生物量分配表现出相反的趋势。这表明耐旱性高度依赖于光合同化物的分配。我们的结果还表明，GYT 方法是一种权衡方法，在干旱条件下比与产量相关的指数方法更有效地选择燕麦理想型，因为它在计算过程中结合了产量、产量稳定性和相关农艺性状。
耐旱基因型具有更多的生物量分配给根系和籽粒，具有更高的叶绿素含量和更好的根系结构，例如比耐旱性较弱的品系具有更长的根长。通过整合产量和产量相关特征，GYT 方法在评估耐旱性方面比传统的单一特征选择方法更实用。©2023 加拿大国王陛下以其权力拥有。由 John Wiley & Sons Ltd 代表化学工业协会出版的《食品科学杂志》转载。经加拿大农业和农业食品部部长允许复制。
