文献类型： 外文期刊

作者： Javed, Syeda Okasha ¹ ; Awan, Shahid Iqbal ¹ ; Shouket, Sania ¹ ; Attia, Kotb A. ² ; Xi, Zhu ³ ; Mohammed, Arif Ahmed ² ; Khan, Sher Aslam ⁴ ; Javed, Sayeda Tanavish ⁵ ; Majeed, Yasir ¹ ;

作者机构： 1.Univ Poonch, Lab Plant Breeding & Mol Genet, Rawalakot, Azad Kashmir, Pakistan

2.King Saud Univ, Coll Sci, Dept Biochem, Riyadh 11451, Saudi Arabia

3.Chinese Acad Trop Agr Sci, South Subtrop Crops Res Inst, Key Lab Trop Fruit Biol, Minist Agr & Rural Affairs China,Key Lab Hainan Pr, Zhanjiang 524000, Peoples R China

4.Univ Haripur, Dept Plant Breeding & Genet, Haripur 22620, Pakistan

5.Univ Lahore, Def Rd, Lahore, Punjab, Pakistan

6.Gansu Agr Univ, Coll Agron, Lanzhou 730070, Peoples R China

关键词： biochemical analysis; diversity; factor analysis; genotypes; physiological traits; principle component analysis; rain-fed; wheat

期刊名称：FUNCTIONAL PLANT BIOLOGY （ 影响因子：3.0； 五年影响因子：3.1 ）

ISSN： 1445-4408

年卷期： 2024 年 51 卷 4 期

页码：

收录情况： SCI

摘要： Wheat (Triticum aestivum L.) is the most extensively cultivated cereal crop in the world; however, its growth and development are affected by different types of biotic and abiotic stress conditions. The aim of this study was to assess the physico-chemical diversity in different wheat genotypes under rain-fed conditions. Principle component analysis (PCA) showed that significant variation for different components contributed 77.87% of total variability among all genotypes. In the scree plot, the first two PCs (PC1 = 44.75%, PC2 = 14.28%) had significant differences for numerous agronomic traits. The scatter biplot depicted eight genotypes (Zardana, NR-462, D-97, BARS-2009 (a check), NR-481, Tarnab-73, NR-489 and Pirsabak-91) with high diversity (variation similar to 90%) for different morphological traits, identifiable as they were located further away from the origin than other genotypes. Factor analysis of loading factors among wheat genotypes across different morpho-physiological traits also showed significant diversity for positive and negative loads. In cluster analysis, genotypes such as BWP-97, BARS-2009, NR-489, NR-448 and Pak. 13 were outliers, indicating significant diversity among all genotypes for different agronomic traits. Biochemical analysis showed maximum values for antioxidant activity, total phenolic content, and total flavonoid content in lines NR-485 (93.76%), NR-489 (3.55 mg gallic acid equivalent (GAE)/g), and the variety Suleman-96 (3.45 mg quercetin equivalent (QE)/g), respectively. This study provides new insights for understanding the diversity of different wheat genotypes under rain-fed conditions, and the selected genotypes can be evaluated for further breeding programs.