Estimation of soybean genetic progress in the South of Brazil using multi-environmental yield trials

The success of a genetic breeding program in a certain period can be assessed by the genetic gain observed. Genetic progress can be estimated from the multi environmental trials (MET) data which are routinely carried out by annual species breeding programs for the assessment of new commercial cultivars. A data set of 20 years of MET of advanced soybean lines derived from four breeding programs was used to estimate and to compare the genetic gains obtained for three soybean maturity groups (early, medium and late) in four cropping regions of the State of Rio Grande do Sul. The estimated yield gains ranged from 0.0 to 71.5 kg ha-1 year-1 (3.49% per year), depending on the maturity group and region, which suggests that the genetic breeding effort does not have a similar effect among the maturity groups or benefit the regions equally. There was no evidence of genetic progress for the early maturity group in any of the four regions, whereas gains in Regions I and IV were comparatively greater than those in Regions II and III. The objectives of the soybean breeding program in the region should be redirected. Since not all the experimental lines used to estimate genetic gains were commercially released, the reported genetics gains were achieved by the breeding programs rather than those achieved by the cropping systems.

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Main Authors: Lange,Cláudia Erna, Federizzi,Luiz Carlos
Format: Digital revista
Language:English
Published: Escola Superior de Agricultura "Luiz de Queiroz" 2009
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162009000300005
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spelling oai:scielo:S0103-901620090003000052009-06-29Estimation of soybean genetic progress in the South of Brazil using multi-environmental yield trialsLange,Cláudia ErnaFederizzi,Luiz Carlos Glycine max (L.) Merrill genetic gain maturity groups advanced lines The success of a genetic breeding program in a certain period can be assessed by the genetic gain observed. Genetic progress can be estimated from the multi environmental trials (MET) data which are routinely carried out by annual species breeding programs for the assessment of new commercial cultivars. A data set of 20 years of MET of advanced soybean lines derived from four breeding programs was used to estimate and to compare the genetic gains obtained for three soybean maturity groups (early, medium and late) in four cropping regions of the State of Rio Grande do Sul. The estimated yield gains ranged from 0.0 to 71.5 kg ha-1 year-1 (3.49% per year), depending on the maturity group and region, which suggests that the genetic breeding effort does not have a similar effect among the maturity groups or benefit the regions equally. There was no evidence of genetic progress for the early maturity group in any of the four regions, whereas gains in Regions I and IV were comparatively greater than those in Regions II and III. The objectives of the soybean breeding program in the region should be redirected. Since not all the experimental lines used to estimate genetic gains were commercially released, the reported genetics gains were achieved by the breeding programs rather than those achieved by the cropping systems.info:eu-repo/semantics/openAccessEscola Superior de Agricultura "Luiz de Queiroz"Scientia Agricola v.66 n.3 20092009-06-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162009000300005en10.1590/S0103-90162009000300005
institution SCIELO
collection OJS
country Brasil
countrycode BR
component Revista
access En linea
databasecode rev-scielo-br
tag revista
region America del Sur
libraryname SciELO
language English
format Digital
author Lange,Cláudia Erna
Federizzi,Luiz Carlos
spellingShingle Lange,Cláudia Erna
Federizzi,Luiz Carlos
Estimation of soybean genetic progress in the South of Brazil using multi-environmental yield trials
author_facet Lange,Cláudia Erna
Federizzi,Luiz Carlos
author_sort Lange,Cláudia Erna
title Estimation of soybean genetic progress in the South of Brazil using multi-environmental yield trials
title_short Estimation of soybean genetic progress in the South of Brazil using multi-environmental yield trials
title_full Estimation of soybean genetic progress in the South of Brazil using multi-environmental yield trials
title_fullStr Estimation of soybean genetic progress in the South of Brazil using multi-environmental yield trials
title_full_unstemmed Estimation of soybean genetic progress in the South of Brazil using multi-environmental yield trials
title_sort estimation of soybean genetic progress in the south of brazil using multi-environmental yield trials
description The success of a genetic breeding program in a certain period can be assessed by the genetic gain observed. Genetic progress can be estimated from the multi environmental trials (MET) data which are routinely carried out by annual species breeding programs for the assessment of new commercial cultivars. A data set of 20 years of MET of advanced soybean lines derived from four breeding programs was used to estimate and to compare the genetic gains obtained for three soybean maturity groups (early, medium and late) in four cropping regions of the State of Rio Grande do Sul. The estimated yield gains ranged from 0.0 to 71.5 kg ha-1 year-1 (3.49% per year), depending on the maturity group and region, which suggests that the genetic breeding effort does not have a similar effect among the maturity groups or benefit the regions equally. There was no evidence of genetic progress for the early maturity group in any of the four regions, whereas gains in Regions I and IV were comparatively greater than those in Regions II and III. The objectives of the soybean breeding program in the region should be redirected. Since not all the experimental lines used to estimate genetic gains were commercially released, the reported genetics gains were achieved by the breeding programs rather than those achieved by the cropping systems.
publisher Escola Superior de Agricultura "Luiz de Queiroz"
publishDate 2009
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162009000300005
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