Multivariate diallel analysis allows multiple gains in segregating populations for agronomic traits in Jatropha
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | LOCUS Repositório Institucional da UFV |
Texto Completo: | http://dx.doi.org/10.4238/gmr16019545 http://www.locus.ufv.br/handle/123456789/12855 |
Resumo: | Jatropha is research target worldwide aimed at large-scale oil production for biodiesel and bio-kerosene. Its production potential is among 1200 and 1500 kg/ha of oil after the 4th year. This study aimed to estimate combining ability of Jatropha genotypes by multivariate diallel analysis to select parents and crosses that allow gains in important agronomic traits. We performed crosses in diallel complete genetic design (3 x 3) arranged in blocks with five replications and three plants per plot. The following traits were evaluated: plant height, stem diameter, canopy projection between rows, canopy projection on the line, number of branches, mass of hundred grains, and grain yield. Data were submitted to univariate and multivariate diallel analysis. Genotypes 107 and 190 can be used in crosses for establishing a base population of Jatropha, since it has favorable alleles for increasing the mass of hundred grains and grain yield and reducing the plant height. The cross 190 x 107 is the most promising to perform the selection of superior genotypes for the simultaneous breeding of these traits. |
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Teodoro, P.E.Rodrigues, E.V.Peixoto, L.A.Silva, L.A.Laviola, B.G.Bhering, L.L.2017-11-08T10:15:58Z2017-11-08T10:15:58Z2017-03-2216765680http://dx.doi.org/10.4238/gmr16019545http://www.locus.ufv.br/handle/123456789/12855Jatropha is research target worldwide aimed at large-scale oil production for biodiesel and bio-kerosene. Its production potential is among 1200 and 1500 kg/ha of oil after the 4th year. This study aimed to estimate combining ability of Jatropha genotypes by multivariate diallel analysis to select parents and crosses that allow gains in important agronomic traits. We performed crosses in diallel complete genetic design (3 x 3) arranged in blocks with five replications and three plants per plot. The following traits were evaluated: plant height, stem diameter, canopy projection between rows, canopy projection on the line, number of branches, mass of hundred grains, and grain yield. Data were submitted to univariate and multivariate diallel analysis. Genotypes 107 and 190 can be used in crosses for establishing a base population of Jatropha, since it has favorable alleles for increasing the mass of hundred grains and grain yield and reducing the plant height. The cross 190 x 107 is the most promising to perform the selection of superior genotypes for the simultaneous breeding of these traits.engGenetics and Molecular Research16 (1), gmr16019545, March 2017Jatropha curcas L.Multivariate statisticsParental selectionHybrid selectionSelection indexGenetic breedingMultivariate diallel analysis allows multiple gains in segregating populations for agronomic traits in Jatrophainfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfinfo:eu-repo/semantics/openAccessreponame:LOCUS Repositório Institucional da UFVinstname:Universidade Federal de Viçosa (UFV)instacron:UFVORIGINALgmr-16-01-gmr.16019545.pdfgmr-16-01-gmr.16019545.pdfTexto completoapplication/pdf822547https://locus.ufv.br//bitstream/123456789/12855/1/gmr-16-01-gmr.16019545.pdfd33c9edb93ccaa71243ae34017243ea8MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://locus.ufv.br//bitstream/123456789/12855/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52THUMBNAILgmr-16-01-gmr.16019545.pdf.jpggmr-16-01-gmr.16019545.pdf.jpgIM Thumbnailimage/jpeg4400https://locus.ufv.br//bitstream/123456789/12855/3/gmr-16-01-gmr.16019545.pdf.jpg4ce7d0cd5f0b2e200433bd69c6b69a2eMD53123456789/128552017-11-08 22:01:18.115oai:locus.ufv.br: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Repositório InstitucionalPUBhttps://www.locus.ufv.br/oai/requestfabiojreis@ufv.bropendoar:21452017-11-09T01:01:18LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV)false |
dc.title.en.fl_str_mv |
Multivariate diallel analysis allows multiple gains in segregating populations for agronomic traits in Jatropha |
title |
Multivariate diallel analysis allows multiple gains in segregating populations for agronomic traits in Jatropha |
spellingShingle |
Multivariate diallel analysis allows multiple gains in segregating populations for agronomic traits in Jatropha Teodoro, P.E. Jatropha curcas L. Multivariate statistics Parental selection Hybrid selection Selection index Genetic breeding |
title_short |
Multivariate diallel analysis allows multiple gains in segregating populations for agronomic traits in Jatropha |
title_full |
Multivariate diallel analysis allows multiple gains in segregating populations for agronomic traits in Jatropha |
title_fullStr |
Multivariate diallel analysis allows multiple gains in segregating populations for agronomic traits in Jatropha |
title_full_unstemmed |
Multivariate diallel analysis allows multiple gains in segregating populations for agronomic traits in Jatropha |
title_sort |
Multivariate diallel analysis allows multiple gains in segregating populations for agronomic traits in Jatropha |
author |
Teodoro, P.E. |
author_facet |
Teodoro, P.E. Rodrigues, E.V. Peixoto, L.A. Silva, L.A. Laviola, B.G. Bhering, L.L. |
author_role |
author |
author2 |
Rodrigues, E.V. Peixoto, L.A. Silva, L.A. Laviola, B.G. Bhering, L.L. |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Teodoro, P.E. Rodrigues, E.V. Peixoto, L.A. Silva, L.A. Laviola, B.G. Bhering, L.L. |
dc.subject.pt-BR.fl_str_mv |
Jatropha curcas L. Multivariate statistics Parental selection Hybrid selection Selection index Genetic breeding |
topic |
Jatropha curcas L. Multivariate statistics Parental selection Hybrid selection Selection index Genetic breeding |
description |
Jatropha is research target worldwide aimed at large-scale oil production for biodiesel and bio-kerosene. Its production potential is among 1200 and 1500 kg/ha of oil after the 4th year. This study aimed to estimate combining ability of Jatropha genotypes by multivariate diallel analysis to select parents and crosses that allow gains in important agronomic traits. We performed crosses in diallel complete genetic design (3 x 3) arranged in blocks with five replications and three plants per plot. The following traits were evaluated: plant height, stem diameter, canopy projection between rows, canopy projection on the line, number of branches, mass of hundred grains, and grain yield. Data were submitted to univariate and multivariate diallel analysis. Genotypes 107 and 190 can be used in crosses for establishing a base population of Jatropha, since it has favorable alleles for increasing the mass of hundred grains and grain yield and reducing the plant height. The cross 190 x 107 is the most promising to perform the selection of superior genotypes for the simultaneous breeding of these traits. |
publishDate |
2017 |
dc.date.accessioned.fl_str_mv |
2017-11-08T10:15:58Z |
dc.date.available.fl_str_mv |
2017-11-08T10:15:58Z |
dc.date.issued.fl_str_mv |
2017-03-22 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
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article |
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dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.4238/gmr16019545 http://www.locus.ufv.br/handle/123456789/12855 |
dc.identifier.issn.none.fl_str_mv |
16765680 |
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16765680 |
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http://dx.doi.org/10.4238/gmr16019545 http://www.locus.ufv.br/handle/123456789/12855 |
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eng |
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eng |
dc.relation.ispartofseries.pt-BR.fl_str_mv |
16 (1), gmr16019545, March 2017 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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Genetics and Molecular Research |
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Genetics and Molecular Research |
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