Scholarlink

<p>Wheat is a vital staple crop facing significant yield reductions due to drought stress, necessitating the identification of drought-resilient genotypes for sustainable production. This study combined phenotypic and molecular analyses to evaluate the wheat genotypes under normal and drought conditions using SSR markers to determine genetic diversity and population structure. Phenotypic analysis revealed that drought stress significantly influenced on proline accumulation and antioxidant enzyme activities—Superoxide Dismutase (SOD), Catalase (CAT), Ascorbate Peroxidase (APX), and Glutathione Reductase (GR). Multivariate analysis showed that Genotypes G19, G20, and G22 had the highest antioxidant activity and proline content, demonstrating superior drought tolerance under drought conditions. Yield-related traits were notably reduced under drought stress, though genotype G19 maintained the highest grain yield (39.50&#xa0;g/plant), making it a promising candidate for breeding. Multivariate analyses identified four distinct genotypes groups, among which the group 4 containing the most drought-resilient genotypes. Molecular analysis confirmed the genetic diversity of these genotypes, with the D genome showing the highest variability, particularly on chromosomes 1D (PIC 0.84) and 3D (PIC 0.83). The A genome followed, with chromosome 1&#xa0;A exhibiting the highest PIC value (0.85), while the B genome showed moderate diversity, with chromosome 4B having a PIC value of 0.77. The most informative SSR markers included Xgwm609 (PIC 0.87) and Xwmc631 (PIC 0.83), highlighting their effectiveness in genetic differentiation. Population structure analysis classified genotypes into four distinct groups, with Group 4 exhibiting strong genetic uniformity and drought tolerance. The integration of phenotypic and molecular data provides valuable insights for breeding programs to develop drought resilience.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Integrating phenotypic, antioxidant, and molecular analyses to identify drought-tolerant wheat genotypes for climate resilience and genetic improvement

  • 期刊论文

  • 发表日期：

    2025年12月8日

查看全文
  • Hafiz Ghulam Muhu Din Ahmed,
  • Tao Yang,
  • Mueen Alam Khan,
  • Muhammad Irfan Akram,
  • Rashid Iqbal,
  • Sajid Hussain,
  • Muhammad Danial Shafiq,
  • Mohamed El-Zaidy,
  • Islem Abid

摘要

Wheat is a vital staple crop facing significant yield reductions due to drought stress, necessitating the identification of drought-resilient genotypes for sustainable production. This study combined phenotypic and molecular analyses to evaluate the wheat genotypes under normal and drought conditions using SSR markers to determine genetic diversity and population structure. Phenotypic analysis revealed that drought stress significantly influenced on proline accumulation and antioxidant enzyme activities—Superoxide Dismutase (SOD), Catalase (CAT), Ascorbate Peroxidase (APX), and Glutathione Reductase (GR). Multivariate analysis showed that Genotypes G19, G20, and G22 had the highest antioxidant activity and proline content, demonstrating superior drought tolerance under drought conditions. Yield-related traits were notably reduced under drought stress, though genotype G19 maintained the highest grain yield (39.50 g/plant), making it a promising candidate for breeding. Multivariate analyses identified four distinct genotypes groups, among which the group 4 containing the most drought-resilient genotypes. Molecular analysis confirmed the genetic diversity of these genotypes, with the D genome showing the highest variability, particularly on chromosomes 1D (PIC 0.84) and 3D (PIC 0.83). The A genome followed, with chromosome 1 A exhibiting the highest PIC value (0.85), while the B genome showed moderate diversity, with chromosome 4B having a PIC value of 0.77. The most informative SSR markers included Xgwm609 (PIC 0.87) and Xwmc631 (PIC 0.83), highlighting their effectiveness in genetic differentiation. Population structure analysis classified genotypes into four distinct groups, with Group 4 exhibiting strong genetic uniformity and drought tolerance. The integration of phenotypic and molecular data provides valuable insights for breeding programs to develop drought resilience.