Adaptability and stability of corn hybrids grown for high grain yield

The objective of the present study was to evaluate the adaptability and stability of corn hybrids for grain yield in environments with high crop management standards. Ten corn hybrids were evaluated for grain yield in 48 environments, consisting of 12 locations over a period of four years in South Brazil. A complete experimental, random block design with two repetitions was used. Adaptability and stability were analyzed according to the bi-segmented discontinuous model with measurement errors in the variables. The behavior of hybrids was studied as a function of the average yield in the inferior and/or superior environments, the estimates of the parameters of the equation, and the quality of the fit. The 30F36 hybrid behaved better in the superior environments and it is indicated for farmers who adopt the highest technological standards for crop management, whereas the 30F53 hybrid was classified as close to ideal; that is, it is indicated for cultivation under various environmental conditions. The 30R50 and 32R48 hybrids are appropriate only for average environments. There is a very good phenotypic stability in simple hybrids associated with high potential yield.

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Main Authors: Silva,Paulo Roberto da, Bisognin,Dilson Antônio, Locatelli,Ana Beatriz, Storck,Lindolfo
Format: Digital revista
Language:English
Published: Editora da Universidade Estadual de Maringá - EDUEM 2014
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1807-86212014000200005
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spelling oai:scielo:S1807-862120140002000052014-06-03Adaptability and stability of corn hybrids grown for high grain yieldSilva,Paulo Roberto daBisognin,Dilson AntônioLocatelli,Ana BeatrizStorck,Lindolfo Zea mays L. high potential genotype vs. environment interaction cultivar selection bi-segmented discontinuous model The objective of the present study was to evaluate the adaptability and stability of corn hybrids for grain yield in environments with high crop management standards. Ten corn hybrids were evaluated for grain yield in 48 environments, consisting of 12 locations over a period of four years in South Brazil. A complete experimental, random block design with two repetitions was used. Adaptability and stability were analyzed according to the bi-segmented discontinuous model with measurement errors in the variables. The behavior of hybrids was studied as a function of the average yield in the inferior and/or superior environments, the estimates of the parameters of the equation, and the quality of the fit. The 30F36 hybrid behaved better in the superior environments and it is indicated for farmers who adopt the highest technological standards for crop management, whereas the 30F53 hybrid was classified as close to ideal; that is, it is indicated for cultivation under various environmental conditions. The 30R50 and 32R48 hybrids are appropriate only for average environments. There is a very good phenotypic stability in simple hybrids associated with high potential yield.info:eu-repo/semantics/openAccessEditora da Universidade Estadual de Maringá - EDUEMActa Scientiarum. Agronomy v.36 n.2 20142014-06-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1807-86212014000200005en10.4025/actasciagron.v36i2.17374
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 Silva,Paulo Roberto da
Bisognin,Dilson Antônio
Locatelli,Ana Beatriz
Storck,Lindolfo
spellingShingle Silva,Paulo Roberto da
Bisognin,Dilson Antônio
Locatelli,Ana Beatriz
Storck,Lindolfo
Adaptability and stability of corn hybrids grown for high grain yield
author_facet Silva,Paulo Roberto da
Bisognin,Dilson Antônio
Locatelli,Ana Beatriz
Storck,Lindolfo
author_sort Silva,Paulo Roberto da
title Adaptability and stability of corn hybrids grown for high grain yield
title_short Adaptability and stability of corn hybrids grown for high grain yield
title_full Adaptability and stability of corn hybrids grown for high grain yield
title_fullStr Adaptability and stability of corn hybrids grown for high grain yield
title_full_unstemmed Adaptability and stability of corn hybrids grown for high grain yield
title_sort adaptability and stability of corn hybrids grown for high grain yield
description The objective of the present study was to evaluate the adaptability and stability of corn hybrids for grain yield in environments with high crop management standards. Ten corn hybrids were evaluated for grain yield in 48 environments, consisting of 12 locations over a period of four years in South Brazil. A complete experimental, random block design with two repetitions was used. Adaptability and stability were analyzed according to the bi-segmented discontinuous model with measurement errors in the variables. The behavior of hybrids was studied as a function of the average yield in the inferior and/or superior environments, the estimates of the parameters of the equation, and the quality of the fit. The 30F36 hybrid behaved better in the superior environments and it is indicated for farmers who adopt the highest technological standards for crop management, whereas the 30F53 hybrid was classified as close to ideal; that is, it is indicated for cultivation under various environmental conditions. The 30R50 and 32R48 hybrids are appropriate only for average environments. There is a very good phenotypic stability in simple hybrids associated with high potential yield.
publisher Editora da Universidade Estadual de Maringá - EDUEM
publishDate 2014
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1807-86212014000200005
work_keys_str_mv AT silvapaulorobertoda adaptabilityandstabilityofcornhybridsgrownforhighgrainyield
AT bisognindilsonantonio adaptabilityandstabilityofcornhybridsgrownforhighgrainyield
AT locatellianabeatriz adaptabilityandstabilityofcornhybridsgrownforhighgrainyield
AT storcklindolfo adaptabilityandstabilityofcornhybridsgrownforhighgrainyield
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