Yang Changye, Baireddy Sriram, Méline Valérian, Cai Enyu, Caldwell Denise, Iyer-Pascuzzi Anjali S, Delp Edward J
Video and Image Processing Laboratory (VIPER), School of Electrical and Computer Engineering, Purdue University, 465 Northwestern Avenue, West Lafayette, IN, 47907, USA.
Department of Botany and Plant Pathology and Center for Plant Biology, Purdue University, 915 W. State Street, West Lafayette, IN, 47907, USA.
Plant Methods. 2023 May 31;19(1):52. doi: 10.1186/s13007-023-01026-w.
Environmental stress due to climate or pathogens is a major threat to modern agriculture. Plant genetic resistance to these stresses is one way to develop more resilient crops, but accurately quantifying plant phenotypic responses can be challenging. Here we develop and test a set of metrics to quantify plant wilting, which can occur in response to abiotic stress such as heat or drought, or in response to biotic stress caused by pathogenic microbes. These metrics can be useful in genomic studies to identify genes and genomic regions underlying plant resistance to a given stress.
We use two datasets: one of tomatoes inoculated with Ralstonia solanacearum, a soilborne pathogen that causes bacterial wilt disease, and another of soybeans exposed to water stress. For both tomato and soybean, the metrics predict the visual wilting score provided by human experts. Specific to the tomato dataset, we demonstrate that our metrics can capture the genetic difference of bacterium wilt resistance among resistant and susceptible tomato genotypes. In soybean, we show that our metrics can capture the effect of water stress.
Our proposed RGB image-based wilting metrics can be useful for identifying plant wilting caused by diverse stresses in different plant species.
气候或病原体造成的环境压力是现代农业面临的主要威胁。植物对这些压力的遗传抗性是培育更具抗逆性作物的一种方式，但准确量化植物的表型反应可能具有挑战性。在此，我们开发并测试了一组用于量化植物萎蔫的指标，植物萎蔫可能由热或干旱等非生物胁迫引起，也可能由致病微生物引起的生物胁迫导致。这些指标在基因组研究中可用于识别植物对特定胁迫抗性的基因和基因组区域。
我们使用了两个数据集：一个是接种了青枯雷尔氏菌（一种导致细菌性萎蔫病的土壤传播病原体）的番茄数据集，另一个是遭受水分胁迫的大豆数据集。对于番茄和大豆，这些指标都能预测人类专家给出的视觉萎蔫评分。针对番茄数据集，我们证明了我们的指标能够捕捉抗性和易感番茄基因型之间细菌性萎蔫抗性的遗传差异。在大豆中，我们表明我们的指标能够捕捉水分胁迫的影响。
我们提出的基于RGB图像的萎蔫指标可用于识别不同植物物种中由多种胁迫引起的植物萎蔫。
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