文献类型： 外文期刊

作者： Darwish, Mohamed A. ¹ ; Elkot, Ahmed F. ¹ ; Elfanah, Ahmed M. S. ¹ ; Selim, Adel I. ³ ; Yassin, Mohamed M. M. ¹ ; Abomarzoka, Elsayed A. ⁴ ; El-Maghraby, Maher A. ¹ ; Rebouh, Nazih Y. ⁵ ; Ali, Abdelraouf M. ³ ;

作者机构： 1.Agr Res Ctr, Field Crops Res Inst, Wheat Res Dept, Giza 12619, Egypt

2.Yunnan Acad Agr Sci, Food Crops Res Inst, Kunming 650205, Peoples R China

3.Natl Author Remote Sensing & Space Sci NARSS, Cairo 11843, Egypt

4.Agr Res Ctr, Field Crops Res Inst, Crop Physiol Res Dept, Giza 12619, Egypt

5.RUDN Univ, Dept Environm Management, 6 Miklukho Maklaya St, Moscow 117198, Russia

关键词： digital agriculture; spectral reflectance indices; drought tolerance; remote sensing; wheat breeding; stress tolerance indices

期刊名称：AGRICULTURE-BASEL （ 影响因子：3.6； 五年影响因子：3.6 ）

ISSN：

年卷期： 2023 年 13 卷 7 期

页码：

收录情况： SCI

摘要： Drought is an environmental abiotic stress that diminishes wheat production worldwide. In the present study, we evaluated fifty bread wheat genotypes (arranged in alpha lattice design) under two main water regimes, water-deficit (two surface irrigations) and well-watered (four irrigations), at different sites in two consecutive cropping seasons, 2019/20 and 2020/21. To identify the drought-tolerant genotypes, utilized several selection/phenotyping criteria, including agronomic traits, e.g., grain yield (GY) and yield components (SM); physiological parameters such as canopy temperature (CT), leaf transpiration rate (TRN), intercellular CO2 concentration (INCO); spectral reflectance indices, e.g., Leaf Chlorophyll Index (LCI), curvature index (CI), and normalized difference vegetation index (NDVI); and stress tolerance indices (STI) were determined concurrently with the grain yield. The results revealed significant differences (p & LE; 0.01) among the environments, genotypes, and their interaction for grain yield (GY), days to heading (DH), days to maturity (DM), grain filling period (GFP), grain filling rate (GFR), Normalized difference vegetation index (NDVI), plant height (PH), and spikes per square meter (SM). The genotype plus genotype by environment (GGE) and genotype by yield*trait (GYT) biplot techniques indicated that Genotype 37 (Sakha 95) and Genotype 45 performed best under well-watered and water-deficit environments. Furthermore, the same genotypes were the best from the genotype by stress tolerance indices (GSTI) approach view. Genotype 37 (Sakha 95) was superior to the GYT selection method, with physiological parameters and spectral reflectance indices. Likewise, we can identify this genotype as low-water-tolerant based on GSTI, GYT, and SRI results and recommend involving it in the drought breeding program.