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<p>Improving adaptive potentials of crops to extreme environments is a key objective in breeding programs. Application of phenotyping platforms has become an integral component of maize breeding. This study presents a comprehensive analysis of 14 maize pre-breeding hybrids using an automated phenotyping system in a greenhouse setting. Maize plants were cultivated in plexiglass columns under controlled water conditions, maintaining soil water content at 60% (control) and 30% (drought stress). A strong correlation (<i>r</i> = 0.70) was observed between manually measured plant biomass (g) and estimated biovolume (kilopixel). Based on the reduction in biomass under drought stress, the hybrids were classified into three categories: Tolerant I, Tolerant II, and Sensitive groups. Hybrids in the Sensitive group demonstrated the highest productivity under control conditions. Also, high correlation (<i>r</i> = 0.60) was detected between plant height and biomass. Analysis of a large set of photosynthetic fluorescence markers revealed their negative correlations with biomass under drought conditions. Therefore, these parameters have limited applicability in identifying drought-tolerant genotypes. Through an in-depth analysis of growth-related shoot and root traits of young maize hybrid plants, the hybrid PG6 has been identified as a promising candidate for further development in ongoing breeding programs.</p>

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Monitoring early drought responses of maize plants by quantification of biomass and digital imaging of shoot and root growth for selection of hybrids in pre-breeding

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年8月13日

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  • Zoltán Zombori,
  • Miklós Hóvári,
  • László Sass,
  • Feríz Rádi,
  • Dénes Dudits

摘要

Improving adaptive potentials of crops to extreme environments is a key objective in breeding programs. Application of phenotyping platforms has become an integral component of maize breeding. This study presents a comprehensive analysis of 14 maize pre-breeding hybrids using an automated phenotyping system in a greenhouse setting. Maize plants were cultivated in plexiglass columns under controlled water conditions, maintaining soil water content at 60% (control) and 30% (drought stress). A strong correlation (r = 0.70) was observed between manually measured plant biomass (g) and estimated biovolume (kilopixel). Based on the reduction in biomass under drought stress, the hybrids were classified into three categories: Tolerant I, Tolerant II, and Sensitive groups. Hybrids in the Sensitive group demonstrated the highest productivity under control conditions. Also, high correlation (r = 0.60) was detected between plant height and biomass. Analysis of a large set of photosynthetic fluorescence markers revealed their negative correlations with biomass under drought conditions. Therefore, these parameters have limited applicability in identifying drought-tolerant genotypes. Through an in-depth analysis of growth-related shoot and root traits of young maize hybrid plants, the hybrid PG6 has been identified as a promising candidate for further development in ongoing breeding programs.