文献类型： 外文期刊

作者： Elfanah, Ahmed M. S. ¹ ; Darwish, Mohamed A. ¹ ; Selim, Adel I. ³ ; Shabana, Mahmoud M. A. ⁴ ; Elmoselhy, Omnya M. A. ¹ ; Khedr, Rania A. ⁵ ; Ali, Abdelraouf M. ³ ; Abdelhamid, Magdi T. ⁷ ;

作者机构： 1.Field Crops Res Inst, Agr Res Ctr, 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, Elnozha El Gedidah, Cairo 11843, Egypt

4.Soils Water & Environm Res Inst, Agr Res Ctr, Giza 12112, Egypt

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

6.RUDN Univ, Peoples Friendship Univ Russia, Inst Environm Engn, Dept Environm Management, 6 Mikluko Maklaya St, Moscow 117198, Russia

7.Natl Res Ctr, Bot Dept, 33 El Behouth Steet, Cairo 12622, Egypt

8.Texas A&M Univ, Dept Soil & Crop Sci, 370 Olsen Blvd, College Stn, TX 77843 USA

关键词： salinity tolerance; spectral reflectance indices; stress tolerance indices; Triticum aestivum

期刊名称：AGRONOMY-BASEL （ 影响因子：3.7； 五年影响因子：4.0 ）

ISSN：

年卷期： 2023 年 13 卷 2 期

页码：

收录情况： SCI

摘要： Salinity stress harms crop yield and productivity worldwide. This study aimed to identify genotypes with higher grain yield and/or salinity tolerance from forty bread wheat genotypes evaluated under seawater diluted at 4.0, 8.0, or 12.0 dS/m or control (0.4 dS/m) in the 2019/20 and 2020/21 seasons. Six elite genotypes, namely 6, 16, 31, 33, 34, and 36, were chosen and tested in a lysimeter under diluted seawater stress in 2020/21. The results showed significant differences (p <= 0.01) among the genotypes for the traits grain yield (GY), harvest index (HI), chlorophyll content index (CCI), chlorophyll fluorescence parameter Fv/Fm, and their interaction with salinity treatments. Additionally, significant differences (p <= 0.01) were detected among ten genotypes for all agronomic traits along with spectral reflectance indices (SRI), e.g., curvature index (CI), normalized difference vegetation index (NDVI), triangular vegetation index (TVI), modified chlorophyll absorption reflectance index (MCARI), and their interaction with salinity treatments. Genotype by traits (GT) and genotype by yield*trait (GYT) biplots are useful for genotypes screening and selection based on grain yield and other associated traits (agronomic, physiological traits, and spectral reflectance indices combinations) as well as genotypes by stress tolerance indices (GSTI). In conclusion, this study identified that genotypes 6, 16, 31, 33, 34, and 36 in the 2019/20 season and genotypes 2 and 1 performed better than Kharchia 65 and Sakha 8 in the 2020/21 season, which detected as superior genotypes and might be recommended for sowing and/or inclusion in the breeding program in salt-affected soils. It was possible to draw the conclusion that spectral reflectance indices were efficient at identifying genotypic variance.