Morphological Characterization-based Optimal Trait Selection for Improving Yield and Stability of Soybean (Glycine max L. Merrill) Article Swipe
Kumar Jai Anand
,
M. K. Shrivastava
,
Pawan K. Amrate
,
Teena Patel
,
Yogendra Singh
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.23910/1.2024.5604
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.23910/1.2024.5604
The present investigation was convened during kharif, 2022 (July–October), rabi-Summer 2023 (January–May) and kharif, 2023 (July–October) at J.N.K.V.V., Jabalpur, Madhya Pradesh, India to characterize 165 diverse soybean germplasm lines in pursuance of DUS (Distinctness, Uniformity, and Stability) guidelines focusing on integrating optimal morphological traits to pre-fine soybean crop improvement. The study revealed significant variation among soybean genotypes. The hypocotyl color, controlled by a monogenic trait, was found in 77 genotypes, closely associated with violet flower color, whereas non-pigmented hypocotyls present in 88 genotypes were linked to white flowers. Growth habits were categorized as determinate (59), semi-determinate (103), and indeterminate (3), demonstrating that semi-determinate genotypes offer balanced resource allocation and reduced lodging. Most genotypes displayed medium flowering time (159) and medium plant height (134). Leaf shape was predominantly pointed ovate (121), with lanceolate leaves associated with higher number of seeds-1 pod. The presence of dark green leaves in 108 genotypes indicated higher chlorophyll content and enhanced photosynthetic efficiency to strengthen plant type. Semi-erect growth habit was prevalent in 152 genotypes, providing better soil coverage and moisture retention, while 13 genotypes showed erect growth. Pod pubescence was observed in 106 genotypes, offering protection against pests. These traits are found stable across the environment and may be used as an identification key for different varieties and donor germplasm lines.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.23910/1.2024.5604
- https://ojs.pphouse.org/index.php/IJBSM/article/download/5604/2829
- OA Status
- diamond
- Cited By
- 1
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4404004167
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4404004167Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.23910/1.2024.5604Digital Object Identifier
- Title
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Morphological Characterization-based Optimal Trait Selection for Improving Yield and Stability of Soybean (Glycine max L. Merrill)Work title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-10-24Full publication date if available
- Authors
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Kumar Jai Anand, M. K. Shrivastava, Pawan K. Amrate, Teena Patel, Yogendra SinghList of authors in order
- Landing page
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https://doi.org/10.23910/1.2024.5604Publisher landing page
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https://ojs.pphouse.org/index.php/IJBSM/article/download/5604/2829Direct link to full text PDF
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://ojs.pphouse.org/index.php/IJBSM/article/download/5604/2829Direct OA link when available
- Concepts
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Glycine, Trait, Characterization (materials science), Selection (genetic algorithm), Stability (learning theory), Yield (engineering), Mathematics, Biology, Computer science, Artificial intelligence, Machine learning, Materials science, Nanotechnology, Genetics, Amino acid, Composite material, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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