Quantitative analysis of morphometric traits affecting yield performance in diverse soybean lines (Glycine max L. Merr)

Developing superior soybean lines with high productivity requires thorough identification of morphological diversity to select desirable agronomic traits. This study focuses on the morphometric analysis of various soybean lines (Glycine max L. Merrill) to support the development of high-yield variet...

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Main Authors: Anna Satyana Karyawati, Aula Larasati, Sarah Ghina, Soni Sumarsono, Vina Mafazatul Ula
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:Cogent Food & Agriculture
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Online Access:https://www.tandfonline.com/doi/10.1080/23311932.2025.2514580
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author Anna Satyana Karyawati
Aula Larasati
Sarah Ghina
Soni Sumarsono
Vina Mafazatul Ula
author_facet Anna Satyana Karyawati
Aula Larasati
Sarah Ghina
Soni Sumarsono
Vina Mafazatul Ula
author_sort Anna Satyana Karyawati
collection DOAJ
description Developing superior soybean lines with high productivity requires thorough identification of morphological diversity to select desirable agronomic traits. This study focuses on the morphometric analysis of various soybean lines (Glycine max L. Merrill) to support the development of high-yield varieties. Conducted at the BSIP AKABI Kendalpayak Malang Experimental Farm, the study employed a randomised complete block design with 30 selected lines and six parent varieties. Key yield-related traits including pod length, pod width, and seed thickness were analysed. Results showed substantial variability; for example lines UBASK41 and UBASK22 exhibited median pod lengths of approximately 9.2 cm, which correlates positively with yield potential, whereas UBASK14 and UBASK33 had shorter pod lengths around 6.5 cm. Seed width and thickness also varied, with UBASK64 reaching a maximum pod width of 22 mm, and UBASK32 showing greater seed thickness, indicating these lines’ potential for larger, high-quality seeds. Path analysis and PCA revealed strong associations between specific morphometric traits and yield-related outcomes. These findings underscore the utility of morphometric analysis in selecting soybean lines with superior agronomic traits, thus supporting breeding programs aimed at yield optimisation.
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institution Kabale University
issn 2331-1932
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publishDate 2025-12-01
publisher Taylor & Francis Group
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series Cogent Food & Agriculture
spelling doaj-art-22deaaa799e443a9bca053b5bab653bc2025-08-20T03:25:00ZengTaylor & Francis GroupCogent Food & Agriculture2331-19322025-12-0111110.1080/23311932.2025.2514580Quantitative analysis of morphometric traits affecting yield performance in diverse soybean lines (Glycine max L. Merr)Anna Satyana Karyawati0Aula Larasati1Sarah Ghina2Soni Sumarsono3Vina Mafazatul Ula4Department of Agronomy, Faculty of Agriculture, Universitas Brawijaya, Malang, IndonesiaDepartment of Agronomy, Faculty of Agriculture, Universitas Brawijaya, Malang, IndonesiaDepartment of Agronomy, Faculty of Agriculture, Universitas Brawijaya, Malang, IndonesiaDepartment of Agronomy, Faculty of Agriculture, Universitas Brawijaya, Malang, IndonesiaDepartment of Agronomy, Faculty of Agriculture, Universitas Brawijaya, Malang, IndonesiaDeveloping superior soybean lines with high productivity requires thorough identification of morphological diversity to select desirable agronomic traits. This study focuses on the morphometric analysis of various soybean lines (Glycine max L. Merrill) to support the development of high-yield varieties. Conducted at the BSIP AKABI Kendalpayak Malang Experimental Farm, the study employed a randomised complete block design with 30 selected lines and six parent varieties. Key yield-related traits including pod length, pod width, and seed thickness were analysed. Results showed substantial variability; for example lines UBASK41 and UBASK22 exhibited median pod lengths of approximately 9.2 cm, which correlates positively with yield potential, whereas UBASK14 and UBASK33 had shorter pod lengths around 6.5 cm. Seed width and thickness also varied, with UBASK64 reaching a maximum pod width of 22 mm, and UBASK32 showing greater seed thickness, indicating these lines’ potential for larger, high-quality seeds. Path analysis and PCA revealed strong associations between specific morphometric traits and yield-related outcomes. These findings underscore the utility of morphometric analysis in selecting soybean lines with superior agronomic traits, thus supporting breeding programs aimed at yield optimisation.https://www.tandfonline.com/doi/10.1080/23311932.2025.2514580Superior soybeanmorphometricbreeding programsagronomic diversitymorphological traitsPlant Biology
spellingShingle Anna Satyana Karyawati
Aula Larasati
Sarah Ghina
Soni Sumarsono
Vina Mafazatul Ula
Quantitative analysis of morphometric traits affecting yield performance in diverse soybean lines (Glycine max L. Merr)
Cogent Food & Agriculture
Superior soybean
morphometric
breeding programs
agronomic diversity
morphological traits
Plant Biology
title Quantitative analysis of morphometric traits affecting yield performance in diverse soybean lines (Glycine max L. Merr)
title_full Quantitative analysis of morphometric traits affecting yield performance in diverse soybean lines (Glycine max L. Merr)
title_fullStr Quantitative analysis of morphometric traits affecting yield performance in diverse soybean lines (Glycine max L. Merr)
title_full_unstemmed Quantitative analysis of morphometric traits affecting yield performance in diverse soybean lines (Glycine max L. Merr)
title_short Quantitative analysis of morphometric traits affecting yield performance in diverse soybean lines (Glycine max L. Merr)
title_sort quantitative analysis of morphometric traits affecting yield performance in diverse soybean lines glycine max l merr
topic Superior soybean
morphometric
breeding programs
agronomic diversity
morphological traits
Plant Biology
url https://www.tandfonline.com/doi/10.1080/23311932.2025.2514580
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