Selection of Jatropha genotypes for bioenergy purpose: an approach with multitrait, multiharvest and effective population size.

Jatropha curcas L. is a perennial plant with great potential for biodiesel production. Thus, the aim of this study was to select J. curcas genotypes for bioenergy purpose considering multitrait, multiharvest and effective population size. To this end, a data set with 70 J. curcas families, obtained through controlled crosses, evaluated in a randomized block design, with six replications, three plants per plot, spaced at 4 × 2 m was used. The following traits were evaluated: plant height in the 2014 and 2015 crop seasons; canopy projection in the row (2015 crop season); canopy projection between rows (2015 crop season); and grain yield (2015, 2016, and 2017 harvests). The mixed model methodology was used to estimate the variance components and to predict the genetic values. Superior genotypes were selected through Multitrait index based on factor analysis and genotype-ideotype distance (FAI-BLUP index), considering the effective population size. According to this index, 98% of all additive genetic variability were summarized in three factors. By adopting the selection intensity that allows maintaining the effective population size equal to 30 (i.e., selection of 214 individuals), the predicted gains were 15.56, 21.75, 4.16, and 5.37% for the traits grain yield in the 2015 and 2016 harvests, canopy projection in the row, and canopy projection between rows in the 2015 crop season, respectively. Thus, the results suggest that the FAI-BLUP index can be successfully used in J. curcas breeding.

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Main Authors: RODRIGUES, E. V., ROCHA, J. R. do A. S. de C.  , ALVES, R. S., TEODORO, P. E., LAVIOLA, B. G., RESENDE, M. D. V. de, CARNEIRO, P. C. S.  , BHERING, L. L.
Other Authors: Erina Vitório Rodrigues, Universidade de Brasília; João Romero do Amaral Santos de Carvalho Rocha, Universidade Federal de Viçosa; Rodrigo Silva Alves, Universidade Federal de Viçosa; Paulo Eduardo Teodoro, Universidade Federal de Mato Grossso do Sul; BRUNO GALVEAS LAVIOLA, CNPAE; Marcos Deon Vilela de Resende, Universidade Federal de Viçosa; Pedro Crescêncio Souza Carneiro, Universidade Federal de Viçosa; Leonardo Lopes Bhering, Universidade Federal de Viçosa.
Format: Artigo de periódico biblioteca
Language:Ingles
English
Published: 2020-11-18
Subjects:Genetic diversity, Mixed models, Genética Vegetal, Melhoramento Genético Vegetal, Plant breeding, Plant genetics, Jatropha,
Online Access:http://www.alice.cnptia.embrapa.br/alice/handle/doc/1126809
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spelling dig-alice-doc-11268092020-11-19T09:17:26Z Selection of Jatropha genotypes for bioenergy purpose: an approach with multitrait, multiharvest and effective population size. RODRIGUES, E. V. ROCHA, J. R. do A. S. de C.   ALVES, R. S. TEODORO, P. E. LAVIOLA, B. G. RESENDE, M. D. V. de CARNEIRO, P. C. S.   BHERING, L. L. Erina Vitório Rodrigues, Universidade de Brasília; João Romero do Amaral Santos de Carvalho Rocha, Universidade Federal de Viçosa; Rodrigo Silva Alves, Universidade Federal de Viçosa; Paulo Eduardo Teodoro, Universidade Federal de Mato Grossso do Sul; BRUNO GALVEAS LAVIOLA, CNPAE; Marcos Deon Vilela de Resende, Universidade Federal de Viçosa; Pedro Crescêncio Souza Carneiro, Universidade Federal de Viçosa; Leonardo Lopes Bhering, Universidade Federal de Viçosa. Genetic diversity Mixed models Genética Vegetal Melhoramento Genético Vegetal Plant breeding Plant genetics Jatropha Jatropha curcas L. is a perennial plant with great potential for biodiesel production. Thus, the aim of this study was to select J. curcas genotypes for bioenergy purpose considering multitrait, multiharvest and effective population size. To this end, a data set with 70 J. curcas families, obtained through controlled crosses, evaluated in a randomized block design, with six replications, three plants per plot, spaced at 4 × 2 m was used. The following traits were evaluated: plant height in the 2014 and 2015 crop seasons; canopy projection in the row (2015 crop season); canopy projection between rows (2015 crop season); and grain yield (2015, 2016, and 2017 harvests). The mixed model methodology was used to estimate the variance components and to predict the genetic values. Superior genotypes were selected through Multitrait index based on factor analysis and genotype-ideotype distance (FAI-BLUP index), considering the effective population size. According to this index, 98% of all additive genetic variability were summarized in three factors. By adopting the selection intensity that allows maintaining the effective population size equal to 30 (i.e., selection of 214 individuals), the predicted gains were 15.56, 21.75, 4.16, and 5.37% for the traits grain yield in the 2015 and 2016 harvests, canopy projection in the row, and canopy projection between rows in the 2015 crop season, respectively. Thus, the results suggest that the FAI-BLUP index can be successfully used in J. curcas breeding. 2020-11-19T09:17:19Z 2020-11-19T09:17:19Z 2020-11-18 2020 Artigo de periódico Bragantia, Campinas, v. 79, n.3, Jul./Sept. 2020. 1678-4499 http://www.alice.cnptia.embrapa.br/alice/handle/doc/1126809 Ingles en openAccess
institution EMBRAPA
collection DSpace
country Brasil
countrycode BR
component Bibliográfico
access En linea
databasecode dig-alice
tag biblioteca
region America del Sur
libraryname Sistema de bibliotecas de EMBRAPA
language Ingles
English
topic Genetic diversity
Mixed models
Genética Vegetal
Melhoramento Genético Vegetal
Plant breeding
Plant genetics
Jatropha
Genetic diversity
Mixed models
Genética Vegetal
Melhoramento Genético Vegetal
Plant breeding
Plant genetics
Jatropha
spellingShingle Genetic diversity
Mixed models
Genética Vegetal
Melhoramento Genético Vegetal
Plant breeding
Plant genetics
Jatropha
Genetic diversity
Mixed models
Genética Vegetal
Melhoramento Genético Vegetal
Plant breeding
Plant genetics
Jatropha
RODRIGUES, E. V.
ROCHA, J. R. do A. S. de C.  
ALVES, R. S.
TEODORO, P. E.
LAVIOLA, B. G.
RESENDE, M. D. V. de
CARNEIRO, P. C. S.  
BHERING, L. L.
Selection of Jatropha genotypes for bioenergy purpose: an approach with multitrait, multiharvest and effective population size.
description Jatropha curcas L. is a perennial plant with great potential for biodiesel production. Thus, the aim of this study was to select J. curcas genotypes for bioenergy purpose considering multitrait, multiharvest and effective population size. To this end, a data set with 70 J. curcas families, obtained through controlled crosses, evaluated in a randomized block design, with six replications, three plants per plot, spaced at 4 × 2 m was used. The following traits were evaluated: plant height in the 2014 and 2015 crop seasons; canopy projection in the row (2015 crop season); canopy projection between rows (2015 crop season); and grain yield (2015, 2016, and 2017 harvests). The mixed model methodology was used to estimate the variance components and to predict the genetic values. Superior genotypes were selected through Multitrait index based on factor analysis and genotype-ideotype distance (FAI-BLUP index), considering the effective population size. According to this index, 98% of all additive genetic variability were summarized in three factors. By adopting the selection intensity that allows maintaining the effective population size equal to 30 (i.e., selection of 214 individuals), the predicted gains were 15.56, 21.75, 4.16, and 5.37% for the traits grain yield in the 2015 and 2016 harvests, canopy projection in the row, and canopy projection between rows in the 2015 crop season, respectively. Thus, the results suggest that the FAI-BLUP index can be successfully used in J. curcas breeding.
author2 Erina Vitório Rodrigues, Universidade de Brasília; João Romero do Amaral Santos de Carvalho Rocha, Universidade Federal de Viçosa; Rodrigo Silva Alves, Universidade Federal de Viçosa; Paulo Eduardo Teodoro, Universidade Federal de Mato Grossso do Sul; BRUNO GALVEAS LAVIOLA, CNPAE; Marcos Deon Vilela de Resende, Universidade Federal de Viçosa; Pedro Crescêncio Souza Carneiro, Universidade Federal de Viçosa; Leonardo Lopes Bhering, Universidade Federal de Viçosa.
author_facet Erina Vitório Rodrigues, Universidade de Brasília; João Romero do Amaral Santos de Carvalho Rocha, Universidade Federal de Viçosa; Rodrigo Silva Alves, Universidade Federal de Viçosa; Paulo Eduardo Teodoro, Universidade Federal de Mato Grossso do Sul; BRUNO GALVEAS LAVIOLA, CNPAE; Marcos Deon Vilela de Resende, Universidade Federal de Viçosa; Pedro Crescêncio Souza Carneiro, Universidade Federal de Viçosa; Leonardo Lopes Bhering, Universidade Federal de Viçosa.
RODRIGUES, E. V.
ROCHA, J. R. do A. S. de C.  
ALVES, R. S.
TEODORO, P. E.
LAVIOLA, B. G.
RESENDE, M. D. V. de
CARNEIRO, P. C. S.  
BHERING, L. L.
format Artigo de periódico
topic_facet Genetic diversity
Mixed models
Genética Vegetal
Melhoramento Genético Vegetal
Plant breeding
Plant genetics
Jatropha
author RODRIGUES, E. V.
ROCHA, J. R. do A. S. de C.  
ALVES, R. S.
TEODORO, P. E.
LAVIOLA, B. G.
RESENDE, M. D. V. de
CARNEIRO, P. C. S.  
BHERING, L. L.
author_sort RODRIGUES, E. V.
title Selection of Jatropha genotypes for bioenergy purpose: an approach with multitrait, multiharvest and effective population size.
title_short Selection of Jatropha genotypes for bioenergy purpose: an approach with multitrait, multiharvest and effective population size.
title_full Selection of Jatropha genotypes for bioenergy purpose: an approach with multitrait, multiharvest and effective population size.
title_fullStr Selection of Jatropha genotypes for bioenergy purpose: an approach with multitrait, multiharvest and effective population size.
title_full_unstemmed Selection of Jatropha genotypes for bioenergy purpose: an approach with multitrait, multiharvest and effective population size.
title_sort selection of jatropha genotypes for bioenergy purpose: an approach with multitrait, multiharvest and effective population size.
publishDate 2020-11-18
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1126809
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