Agronomic performance and estimated genetic diversity among soybean inbred lines based on quantitative traits

ABSTRACT Although soybean is one of the most important agricultural commodities in the world, it has been losing genetic diversity in recent decades, due to the intense breeding process and reproduction method. Thus, the objective of this study was to evaluate the agronomic performance and estimate...

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Main Authors: Guilherme S. Medeiros, Pablo D. S. Cabral, Fernando H. L. e Silva, Jôsie C. de O. Freitas, Luís H. R. de Campos, Arthur M. M. F. Carrijo
Format: Article
Language:English
Published: Universidade Federal de Campina Grande 2024-01-01
Series:Revista Brasileira de Engenharia Agrícola e Ambiental
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Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662024000300202&tlng=en
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author Guilherme S. Medeiros
Pablo D. S. Cabral
Fernando H. L. e Silva
Jôsie C. de O. Freitas
Luís H. R. de Campos
Arthur M. M. F. Carrijo
author_facet Guilherme S. Medeiros
Pablo D. S. Cabral
Fernando H. L. e Silva
Jôsie C. de O. Freitas
Luís H. R. de Campos
Arthur M. M. F. Carrijo
author_sort Guilherme S. Medeiros
collection DOAJ
description ABSTRACT Although soybean is one of the most important agricultural commodities in the world, it has been losing genetic diversity in recent decades, due to the intense breeding process and reproduction method. Thus, the objective of this study was to evaluate the agronomic performance and estimate the genetic diversity among inbred lines, and identify promising crossings. A total of 66 soybean genotypes were evaluated, 61 of which were pre-commercial lines, and five commercial cultivars (AS3797, DESAFIO, M7110, M7739, M8210) as controls. The experimental design consisted of randomized blocks with three replicates. The distance matrix between the inbred lines was calculated by Mahalanobis distance and grouping by the unweighted pair group method with arithmetic mean (UPGMA). The maximum distance was 1,776.26 between cultivar M7110 and the G23 inbred line, and the minimum 1.50 between inbred lines G13 and G36, with an average distance of 364.40, demonstrating genetic diversity. The traits that contributed most to genetic divergence were number of days to flowering (66.7%) and physiological maturation (28.55%). Inbred lines G60 (higher grain yield), G51 and G33 (lower physiological maturation) and cultivar M7110 (greater divergence) stood out. Four groups were formed, with G1 having the highest grain yield and fewest days to flowering and physiological maturation. The indicated crossings are between G60, G57, CD2728, M7110, G33 and G32 (group G1) and G47 (group G4).
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spelling doaj-art-63499512ed2f4174af8207c0b957ddca2025-08-20T03:34:30ZengUniversidade Federal de Campina GrandeRevista Brasileira de Engenharia Agrícola e Ambiental1807-19292024-01-0128310.1590/1807-1929/agriambi.v28n3e272048Agronomic performance and estimated genetic diversity among soybean inbred lines based on quantitative traitsGuilherme S. Medeiroshttps://orcid.org/0009-0003-9261-4391Pablo D. S. Cabralhttps://orcid.org/0000-0001-5770-869XFernando H. L. e Silvahttps://orcid.org/0000-0002-6325-6949Jôsie C. de O. Freitashttps://orcid.org/0000-0002-5100-8550Luís H. R. de Camposhttps://orcid.org/0000-0002-4036-5202Arthur M. M. F. Carrijohttps://orcid.org/0009-0000-4881-1679ABSTRACT Although soybean is one of the most important agricultural commodities in the world, it has been losing genetic diversity in recent decades, due to the intense breeding process and reproduction method. Thus, the objective of this study was to evaluate the agronomic performance and estimate the genetic diversity among inbred lines, and identify promising crossings. A total of 66 soybean genotypes were evaluated, 61 of which were pre-commercial lines, and five commercial cultivars (AS3797, DESAFIO, M7110, M7739, M8210) as controls. The experimental design consisted of randomized blocks with three replicates. The distance matrix between the inbred lines was calculated by Mahalanobis distance and grouping by the unweighted pair group method with arithmetic mean (UPGMA). The maximum distance was 1,776.26 between cultivar M7110 and the G23 inbred line, and the minimum 1.50 between inbred lines G13 and G36, with an average distance of 364.40, demonstrating genetic diversity. The traits that contributed most to genetic divergence were number of days to flowering (66.7%) and physiological maturation (28.55%). Inbred lines G60 (higher grain yield), G51 and G33 (lower physiological maturation) and cultivar M7110 (greater divergence) stood out. Four groups were formed, with G1 having the highest grain yield and fewest days to flowering and physiological maturation. The indicated crossings are between G60, G57, CD2728, M7110, G33 and G32 (group G1) and G47 (group G4).http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662024000300202&tlng=enGlycine max (L.) Merrilgenetic variabilityMahalanobis distanceUPGMAphenotypic correlation
spellingShingle Guilherme S. Medeiros
Pablo D. S. Cabral
Fernando H. L. e Silva
Jôsie C. de O. Freitas
Luís H. R. de Campos
Arthur M. M. F. Carrijo
Agronomic performance and estimated genetic diversity among soybean inbred lines based on quantitative traits
Revista Brasileira de Engenharia Agrícola e Ambiental
Glycine max (L.) Merril
genetic variability
Mahalanobis distance
UPGMA
phenotypic correlation
title Agronomic performance and estimated genetic diversity among soybean inbred lines based on quantitative traits
title_full Agronomic performance and estimated genetic diversity among soybean inbred lines based on quantitative traits
title_fullStr Agronomic performance and estimated genetic diversity among soybean inbred lines based on quantitative traits
title_full_unstemmed Agronomic performance and estimated genetic diversity among soybean inbred lines based on quantitative traits
title_short Agronomic performance and estimated genetic diversity among soybean inbred lines based on quantitative traits
title_sort agronomic performance and estimated genetic diversity among soybean inbred lines based on quantitative traits
topic Glycine max (L.) Merril
genetic variability
Mahalanobis distance
UPGMA
phenotypic correlation
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662024000300202&tlng=en
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