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<p>Forage quality is a key determinant of ruminant productivity, and forage maize is one of the most nutritious and widely cultivated non-legume forage crops globally. This study aimed to map QTLs related to forage quality traits in forage maize. QTL analysis for four quality traits were performed using F<sub>2:3</sub> families derived from the cross DM 94 and African Tall. Inclusive Composite Interval Mapping (ICIM) identified 9 QTLs associated with quality traits: one QTL for crude protein (CP), two for crude fiber (CF), one for acid detergent fiber (ADF), and five for neutral detergent fiber (NDF). All nine QTLs explained more than 10% phenotypic variation, ranging from 14.9 (NDF) to 19.7% (NDF). Co-localization of QTLs for CF and NDF was observed, and both traits showed a strong positive correlation. The novel QTLs identified in this study can be effectively utilized in marker assisted breeding programs to develop forage maize genotypes with enhanced quality.</p>

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Identification of QTLs Responsible for Fodder Quality Traits in Fodder Maize (Zea mays L.)

  • 期刊论文

  • 发表日期：

    2026年2月19日

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  • Pawan Kumar Dash,
  • Palaniyappan Subramani,
  • Ganesan Kalipatty Nalliappan,
  • Manivannan Narayana,
  • Vellaikumar Sampathrajan,
  • Senthil Natesan

摘要

Forage quality is a key determinant of ruminant productivity, and forage maize is one of the most nutritious and widely cultivated non-legume forage crops globally. This study aimed to map QTLs related to forage quality traits in forage maize. QTL analysis for four quality traits were performed using F2:3 families derived from the cross DM 94 and African Tall. Inclusive Composite Interval Mapping (ICIM) identified 9 QTLs associated with quality traits: one QTL for crude protein (CP), two for crude fiber (CF), one for acid detergent fiber (ADF), and five for neutral detergent fiber (NDF). All nine QTLs explained more than 10% phenotypic variation, ranging from 14.9 (NDF) to 19.7% (NDF). Co-localization of QTLs for CF and NDF was observed, and both traits showed a strong positive correlation. The novel QTLs identified in this study can be effectively utilized in marker assisted breeding programs to develop forage maize genotypes with enhanced quality.