Correlation and path analysis for agronomic traits contributing to yield in 30 genotypes of soybean

Abstract. Karyawati AS, Puspitaningrum ESV. 2021. Correlation and path analysis for agronomic traits contributing to yield in 30 genotypes of soybean. Biodiversitas 22: 1146-1151. To obtain more productive soybean genotypes, it is essential to know the contribution of each agronomic trait to the pro...

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Autores principales: Anna Satyana Karyawati, ENO SINTHIA VINKY PUSPITANINGRUM
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Publicado: MBI & UNS Solo 2021
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Acceso en línea:https://doaj.org/article/81b46744cf8846b4a6c5492fd1cc8307
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spelling oai:doaj.org-article:81b46744cf8846b4a6c5492fd1cc83072021-11-22T00:56:37ZCorrelation and path analysis for agronomic traits contributing to yield in 30 genotypes of soybean1412-033X2085-472210.13057/biodiv/d220309https://doaj.org/article/81b46744cf8846b4a6c5492fd1cc83072021-02-01T00:00:00Zhttps://smujo.id/biodiv/article/view/7454https://doaj.org/toc/1412-033Xhttps://doaj.org/toc/2085-4722Abstract. Karyawati AS, Puspitaningrum ESV. 2021. Correlation and path analysis for agronomic traits contributing to yield in 30 genotypes of soybean. Biodiversitas 22: 1146-1151. To obtain more productive soybean genotypes, it is essential to know the contribution of each agronomic trait to the productivity of soybeans. The purpose of this study was to analyze the correlation and path analysis in thirty genotypes of soybeans (Glycine max (L.) Merrill) for eleven traits. The study was conducted in March-June 2019, in an experimental area located at Agro Techno Park, which belongs to Universitas Brawijaya, Malang, East Java Province, Indonesia. The experimental design was a randomized complete block design with three replications. Analysis of correlation showed that the number of branches, number of filled pods, number of seeds per plant, weight of 100 seeds, and weight of seeds per plant had a positive correlation value to the yield. Path analysis showed that the number of seeds per plant had a high positive, direct effect on the yield. The plant height, number of branches, fresh weight and dry weight had an indirect effect on the yield. Based on the result, the number of seeds per plant can be selected as one of the selection criteria in a soybean breeding program to obtain a high-yield soybean variety.Anna Satyana KaryawatiENO SINTHIA VINKY PUSPITANINGRUMMBI & UNS Soloarticlecorrelation, path analysis, soybean, yieldBiology (General)QH301-705.5ENBiodiversitas, Vol 22, Iss 3 (2021)
institution DOAJ
collection DOAJ
language EN
topic correlation, path analysis, soybean, yield
Biology (General)
QH301-705.5
spellingShingle correlation, path analysis, soybean, yield
Biology (General)
QH301-705.5
Anna Satyana Karyawati
ENO SINTHIA VINKY PUSPITANINGRUM
Correlation and path analysis for agronomic traits contributing to yield in 30 genotypes of soybean
description Abstract. Karyawati AS, Puspitaningrum ESV. 2021. Correlation and path analysis for agronomic traits contributing to yield in 30 genotypes of soybean. Biodiversitas 22: 1146-1151. To obtain more productive soybean genotypes, it is essential to know the contribution of each agronomic trait to the productivity of soybeans. The purpose of this study was to analyze the correlation and path analysis in thirty genotypes of soybeans (Glycine max (L.) Merrill) for eleven traits. The study was conducted in March-June 2019, in an experimental area located at Agro Techno Park, which belongs to Universitas Brawijaya, Malang, East Java Province, Indonesia. The experimental design was a randomized complete block design with three replications. Analysis of correlation showed that the number of branches, number of filled pods, number of seeds per plant, weight of 100 seeds, and weight of seeds per plant had a positive correlation value to the yield. Path analysis showed that the number of seeds per plant had a high positive, direct effect on the yield. The plant height, number of branches, fresh weight and dry weight had an indirect effect on the yield. Based on the result, the number of seeds per plant can be selected as one of the selection criteria in a soybean breeding program to obtain a high-yield soybean variety.
format article
author Anna Satyana Karyawati
ENO SINTHIA VINKY PUSPITANINGRUM
author_facet Anna Satyana Karyawati
ENO SINTHIA VINKY PUSPITANINGRUM
author_sort Anna Satyana Karyawati
title Correlation and path analysis for agronomic traits contributing to yield in 30 genotypes of soybean
title_short Correlation and path analysis for agronomic traits contributing to yield in 30 genotypes of soybean
title_full Correlation and path analysis for agronomic traits contributing to yield in 30 genotypes of soybean
title_fullStr Correlation and path analysis for agronomic traits contributing to yield in 30 genotypes of soybean
title_full_unstemmed Correlation and path analysis for agronomic traits contributing to yield in 30 genotypes of soybean
title_sort correlation and path analysis for agronomic traits contributing to yield in 30 genotypes of soybean
publisher MBI & UNS Solo
publishDate 2021
url https://doaj.org/article/81b46744cf8846b4a6c5492fd1cc8307
work_keys_str_mv AT annasatyanakaryawati correlationandpathanalysisforagronomictraitscontributingtoyieldin30genotypesofsoybean
AT enosinthiavinkypuspitaningrum correlationandpathanalysisforagronomictraitscontributingtoyieldin30genotypesofsoybean
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