Agronomic performance in different segregating soybean progenies

The estimate of variance component and genetic parameters for soybean grain yield in the northwestern region of the state of Rio Grande do Sul is 17% due to genetic effects and 83% due to the environment, management, and practices used. Thus, we aimed to evaluate the performance of quantitative and...

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Main Authors: Gustavo Matheus Lenhardt, Ivan Ricardo Carvalho, Murilo Vieira Loro, Eduarda Donadel Port, Francine Lautenchleger, Leonardo Cesar Pradebon
Format: Article
Language:English
Published: Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina 2023-04-01
Series:Agropecuária Catarinense
Subjects:
Online Access:https://publicacoes.epagri.sc.gov.br/rac/article/view/1341
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author Gustavo Matheus Lenhardt
Ivan Ricardo Carvalho
Murilo Vieira Loro
Eduarda Donadel Port
Francine Lautenchleger
Leonardo Cesar Pradebon
author_facet Gustavo Matheus Lenhardt
Ivan Ricardo Carvalho
Murilo Vieira Loro
Eduarda Donadel Port
Francine Lautenchleger
Leonardo Cesar Pradebon
author_sort Gustavo Matheus Lenhardt
collection DOAJ
description The estimate of variance component and genetic parameters for soybean grain yield in the northwestern region of the state of Rio Grande do Sul is 17% due to genetic effects and 83% due to the environment, management, and practices used. Thus, we aimed to evaluate the performance of quantitative and qualitative agronomic characteristics of soybean progenies in segregating generations F1, F2, F3, F4, and F5, as well as the interrelationships of these variables and their benefits in soybean breeding. Field trials were conducted from 2012 to 2020 in Campos Borges, Rio Grande do Sul. The variables that showed the greatest fluctuations during the segregating generations were pod insertion, number of pods on the main stem, number of pods with two seeds, and number of pods with four seeds. Taller plants in the F1 and F3 segregating generations had a greater number of pods with one, two, and three seeds; thus, as the plant size increased, the number of pods increased. As the segregating generations progressed, there was a reduction in the cycle and an increase in the seed mass per plant, consequently tending to be more productive.
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spelling doaj.art-92653b5476f342cba13f606fc684a3082023-05-01T21:09:27ZengEmpresa de Pesquisa Agropecuária e Extensão Rural de Santa CatarinaAgropecuária Catarinense0103-07792525-60762023-04-0136110.52945/rac.v36i1.1341Agronomic performance in different segregating soybean progeniesGustavo Matheus Lenhardt0Ivan Ricardo Carvalho1Murilo Vieira Loro2Eduarda Donadel Port3Francine Lautenchleger4Leonardo Cesar Pradebon5Universidade Regional do Noroeste do Estado do Rio Grande do Sul (UNIJUÍ)UNIJUIUniversidade Federal de Santa MariaUniversidade Regional do Noroeste do Estado do Rio Grande do Sul (UNIJUÍ)Universidade Estadual do Centro-OesteUniversidade Regional do Noroeste do Estado do Rio Grande do Sul (UNIJUÍ) The estimate of variance component and genetic parameters for soybean grain yield in the northwestern region of the state of Rio Grande do Sul is 17% due to genetic effects and 83% due to the environment, management, and practices used. Thus, we aimed to evaluate the performance of quantitative and qualitative agronomic characteristics of soybean progenies in segregating generations F1, F2, F3, F4, and F5, as well as the interrelationships of these variables and their benefits in soybean breeding. Field trials were conducted from 2012 to 2020 in Campos Borges, Rio Grande do Sul. The variables that showed the greatest fluctuations during the segregating generations were pod insertion, number of pods on the main stem, number of pods with two seeds, and number of pods with four seeds. Taller plants in the F1 and F3 segregating generations had a greater number of pods with one, two, and three seeds; thus, as the plant size increased, the number of pods increased. As the segregating generations progressed, there was a reduction in the cycle and an increase in the seed mass per plant, consequently tending to be more productive. https://publicacoes.epagri.sc.gov.br/rac/article/view/1341Glycine maxgenetic improvement programinterrelations
spellingShingle Gustavo Matheus Lenhardt
Ivan Ricardo Carvalho
Murilo Vieira Loro
Eduarda Donadel Port
Francine Lautenchleger
Leonardo Cesar Pradebon
Agronomic performance in different segregating soybean progenies
Agropecuária Catarinense
Glycine max
genetic improvement program
interrelations
title Agronomic performance in different segregating soybean progenies
title_full Agronomic performance in different segregating soybean progenies
title_fullStr Agronomic performance in different segregating soybean progenies
title_full_unstemmed Agronomic performance in different segregating soybean progenies
title_short Agronomic performance in different segregating soybean progenies
title_sort agronomic performance in different segregating soybean progenies
topic Glycine max
genetic improvement program
interrelations
url https://publicacoes.epagri.sc.gov.br/rac/article/view/1341
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AT murilovieiraloro agronomicperformanceindifferentsegregatingsoybeanprogenies
AT eduardadonadelport agronomicperformanceindifferentsegregatingsoybeanprogenies
AT francinelautenchleger agronomicperformanceindifferentsegregatingsoybeanprogenies
AT leonardocesarpradebon agronomicperformanceindifferentsegregatingsoybeanprogenies