Scholarlink

<p>Turmeric (<i>Curcuma longa</i> L.) is valued for its curcuminoid-rich rhizomes, which are known for their potent anti-inflammatory and antioxidant properties. Identifying high-curcumin and high-yielding genotypes is essential to meet increasing market demand. This study aimed to identify superior turmeric genotypes by integrating phenotypic performance with molecular diversity analysis. Multitrait evaluation was performed via the Genotype by Yield × Trait (GYT) biplot and the Multitrait Genotype-Ideotype Distance Index (MGIDI), enabling a comprehensive assessment of yield and related agronomic traits. The genotypes ATG-17, ATG-20 and ATG-22 were identified as the best performers, exhibiting a balanced combination of high yield and desirable morphological traits. Molecular analysis via simple sequence repeat (SSR) markers, on the basis of which principal coordinate analysis (PCoA) and analysis of molecular variance (AMOVA) were performed, revealed greater genetic variation within populations than among populations. Population structure analysis through Bayesian clustering classified the genotypes into four distinct subpopulations, indicating varying levels of genetic differentiation and admixture. The integration of multitrait selection indices with molecular characterization provides a strong framework for turmeric improvement. This approach facilitates the identification of genetically diverse and agronomically superior germplasms, supporting strategic selection in future breeding programs. This article aligns with SDG 2 (Zero Hunger) of the UN Agenda for Sustainable Development.</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

Integrative multi-trait selection and molecular diversity analysis for the genetic improvement of Turmeric (Curcuma longa L.)

  • 期刊论文

  • 发表日期：

    2026年4月6日

查看全文
  • Lavudya Sampath,
  • Mukesh P. Patel,
  • Sushil Kumar,
  • Bekkam Rakesh,
  • Sriram Ajmera,
  • Srinivasu Pathakakula

摘要

Turmeric (Curcuma longa L.) is valued for its curcuminoid-rich rhizomes, which are known for their potent anti-inflammatory and antioxidant properties. Identifying high-curcumin and high-yielding genotypes is essential to meet increasing market demand. This study aimed to identify superior turmeric genotypes by integrating phenotypic performance with molecular diversity analysis. Multitrait evaluation was performed via the Genotype by Yield × Trait (GYT) biplot and the Multitrait Genotype-Ideotype Distance Index (MGIDI), enabling a comprehensive assessment of yield and related agronomic traits. The genotypes ATG-17, ATG-20 and ATG-22 were identified as the best performers, exhibiting a balanced combination of high yield and desirable morphological traits. Molecular analysis via simple sequence repeat (SSR) markers, on the basis of which principal coordinate analysis (PCoA) and analysis of molecular variance (AMOVA) were performed, revealed greater genetic variation within populations than among populations. Population structure analysis through Bayesian clustering classified the genotypes into four distinct subpopulations, indicating varying levels of genetic differentiation and admixture. The integration of multitrait selection indices with molecular characterization provides a strong framework for turmeric improvement. This approach facilitates the identification of genetically diverse and agronomically superior germplasms, supporting strategic selection in future breeding programs. This article aligns with SDG 2 (Zero Hunger) of the UN Agenda for Sustainable Development.