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<p>Computer-assisted morphometry offers a significantly wider range of measures of morphological characteristics than conventional measurement while being exponentially faster, more accurate, precise, and efficient. For the accurate measurement of seed shape changes, high throughput seed morphometry is required. The aim of this study was to determine the association between seed morphometric traits and thousand kernel weight (TKW) in bread wheat under water-limited conditions using digital morphometry. In this study, a panel of 70 genotypes was planted in well-watered (field conditions) and water limited environments(pots). Mature seeds were obtained for further digital image analysis (DIA). The digital photographs of horizontal as well as vertical seeds of these 70 genotypes grown in pots (water-limited) and same 70 genotypes grown in field (well-watered) were quantified using “SmartGrain” software. Seed shape parameters (Perimeter, area, length, width, length-to-width ratio) were carefully computed. Meanwhile, thousand kernel weight by weighing balance, seed length and seed width with scale were also measured manually. Results indicated that seed shape is significantly associated with thousand kernel weight. Because of the marked differences in seed morphology between field-grown and potted wheat, seed width in both conditions shows a direct positive relationship with seed weight. In contrast, seed length in both field-grown and potted wheat is negatively associated with seed weight. Structure equation model (SEM) and Pearson’s correlation coefficient showed disparity in seed shape of field and pots plants. Quantitative research results showed significant effect of seed shape on grain yield. Simple linear regression revealed that thousand grain weight is predicted with seed width.</p>

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Digital morphometry identifies significant association between seed dimensions and thousand kernel weight under water-limited conditions

  • 期刊论文

  • 发表日期：

    2026年3月7日

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  • Muhammad Jamil,
  • Waseem Ahmad,
  • Roheel Shafqat,
  • Humera Nawaz,
  • Amina Ameer

摘要

Computer-assisted morphometry offers a significantly wider range of measures of morphological characteristics than conventional measurement while being exponentially faster, more accurate, precise, and efficient. For the accurate measurement of seed shape changes, high throughput seed morphometry is required. The aim of this study was to determine the association between seed morphometric traits and thousand kernel weight (TKW) in bread wheat under water-limited conditions using digital morphometry. In this study, a panel of 70 genotypes was planted in well-watered (field conditions) and water limited environments(pots). Mature seeds were obtained for further digital image analysis (DIA). The digital photographs of horizontal as well as vertical seeds of these 70 genotypes grown in pots (water-limited) and same 70 genotypes grown in field (well-watered) were quantified using “SmartGrain” software. Seed shape parameters (Perimeter, area, length, width, length-to-width ratio) were carefully computed. Meanwhile, thousand kernel weight by weighing balance, seed length and seed width with scale were also measured manually. Results indicated that seed shape is significantly associated with thousand kernel weight. Because of the marked differences in seed morphology between field-grown and potted wheat, seed width in both conditions shows a direct positive relationship with seed weight. In contrast, seed length in both field-grown and potted wheat is negatively associated with seed weight. Structure equation model (SEM) and Pearson’s correlation coefficient showed disparity in seed shape of field and pots plants. Quantitative research results showed significant effect of seed shape on grain yield. Simple linear regression revealed that thousand grain weight is predicted with seed width.