外文摘要：Potato is a drought susceptible crop and even short drought spells reduce tuber yields notably. In an earlier study we developed a stress severity index (SSI) based on the development stage of a genotype at the onset of drought and the soil water deficit based on soil water tension. Here, we test the suitability of the SSI combined with remotely sensed data as a screening tool to select drought-tolerant potato genotypes. Normalized difference vegetation index (NDVI) and the photochemical reflectance index (PRI) were obtained from reflectance measurements and thermography. Temperature data from the thermography allow using the difference between leaf and air temperature (Delta T) to estimate the transpirational cooling of the leaves. Via cluster analysis including SSI, tuber yield reduction under drought, NDVI, PRI and thermography, three groups were distinguished: 1. SSI < 1000 with fast decreasing NDVI, PRI and Delta T, 2. SSI 1000-2000 with almost constant NDVI and Delta T and 3. SSI > 2000 described by small changes of NDVI, PRI and temperature deficit. For SSI < 1000, Delta T, PRI and NDVI showed to be good indicators of genotypic performance under drought. Potential strategies for drought resistance in potato detectable through remote sensing are discussed.
外文关键词：Drought;phenology;Thermography;crop reflectance;Solanum tuberosum L.;stress severity
作者：Khan, Awais;Hoelle, Julia;Asch, Folkard;Bonierbale, Merideth
作者单位：Cornell Univ;Univ Hohenheim;Int Potato Ctr CIP
期刊名称：JOURNAL OF AGRONOMY AND CROP SCIENCE
期刊影响因子：0.0
出版年份：2024
出版刊次：210（1）
原文传递申请：江苏省科技资源（工程技术文献）统筹服务平台