Mixed modeling for fiber yield genetic selection in sugarcane

The current demand for clean and renewable energy has provoked considerable changes in the production system of agroindustrial companies. The generation of bioelectricity through the burning of sugarcane bagasse has considerably risen in the recent years. This work aimed to focus on the sugarcane ge...

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Detalles Bibliográficos
Autores principales: Dutra Filho, João de Andrade, Souto, Lauter Silva, de Luna, Rômulo Gil, Souza, Anielson dos Santos, Silva, Frank Gomes, Silva, Fabiana Aparecida Cavalcanti, Simões Neto, Djalma Euzébio, Calsa Júnior, Tercilio
Formato: Artículo revista
Lenguaje:Inglés
Publicado: Facultad de Ciencias Agrarias-UNCuyo 2021
Materias:
biomassa
bioenergía
bioelectricidad
Saccharum spp.
REML/BLUP
biomass
bioenergy
bioeletricity
Acceso en línea:https://revistas.uncu.edu.ar/ojs3/index.php/RFCA/article/view/3855
Aporte de:
Revista de la Facultad de Ciencias Agrarias UNCuyo de Universidad Nacional de Cuyo
id I11-R107article-3855
record_format ojs
institution Universidad Nacional de Cuyo
institution_str I-11
repository_str R-107
container_title_str Revista de la Facultad de Ciencias Agrarias UNCuyo
language Inglés
format Artículo revista
topic biomassa
bioenergía
bioelectricidad
Saccharum spp.
REML/BLUP
biomass
bioenergy
bioeletricity
Saccharum spp.
REML/BLUP
spellingShingle biomassa
bioenergía
bioelectricidad
Saccharum spp.
REML/BLUP
biomass
bioenergy
bioeletricity
Saccharum spp.
REML/BLUP
Dutra Filho, João de Andrade
Souto, Lauter Silva
de Luna, Rômulo Gil
Souza, Anielson dos Santos
Silva, Frank Gomes
Silva, Fabiana Aparecida Cavalcanti
Simões Neto, Djalma Euzébio
Calsa Júnior, Tercilio
Mixed modeling for fiber yield genetic selection in sugarcane
topic_facet biomassa
bioenergía
bioelectricidad
Saccharum spp.
REML/BLUP
biomass
bioenergy
bioeletricity
Saccharum spp.
REML/BLUP
author Dutra Filho, João de Andrade
Souto, Lauter Silva
de Luna, Rômulo Gil
Souza, Anielson dos Santos
Silva, Frank Gomes
Silva, Fabiana Aparecida Cavalcanti
Simões Neto, Djalma Euzébio
Calsa Júnior, Tercilio
author_facet Dutra Filho, João de Andrade
Souto, Lauter Silva
de Luna, Rômulo Gil
Souza, Anielson dos Santos
Silva, Frank Gomes
Silva, Fabiana Aparecida Cavalcanti
Simões Neto, Djalma Euzébio
Calsa Júnior, Tercilio
author_sort Dutra Filho, João de Andrade
title Mixed modeling for fiber yield genetic selection in sugarcane
title_short Mixed modeling for fiber yield genetic selection in sugarcane
title_full Mixed modeling for fiber yield genetic selection in sugarcane
title_fullStr Mixed modeling for fiber yield genetic selection in sugarcane
title_full_unstemmed Mixed modeling for fiber yield genetic selection in sugarcane
title_sort mixed modeling for fiber yield genetic selection in sugarcane
description The current demand for clean and renewable energy has provoked considerable changes in the production system of agroindustrial companies. The generation of bioelectricity through the burning of sugarcane bagasse has considerably risen in the recent years. This work aimed to focus on the sugarcane genotypes selection for fiber productivity. The experiment was outlined in randomized blocks with four repetitions, and sixteen genotypes were evaluated. The evaluated traits  were: cane tons per hectare, sucrose tons per hectare, fiber tons per hectare, fiber content and apparent sucrose content. To the selection, the mixed linear models methodology was used. The heritability coefficients suggest a significant genetic gain and the harmonic means of relative performances of predicted genotypic values allowed the identification of stable genotypes related to the traits evaluated in four harvest cycles. Considering the current average demand of sugarcane agroindustry for varieties with fiber content between 12% and 17% and sucrose content near 13%, for energy generation and sugar production, the genotypes EECAC 06, EECAC 03, EECAC 04 and EECAC 07 are presented as commercial cultivation options. Highlights - Mixed models constitute an efficient tool for sugarcane selection focused onto fiber and sucrose production. - This methodology provides significant genetic gains based on predicted genetic values free from interaction with harvest cycles. - The evaluated genotypes present high fiber and sucrose productivity, genotypic adaptability and stability throughout harvest cycles, indicating longevity in the sugarcane crop.
publisher Facultad de Ciencias Agrarias-UNCuyo
publishDate 2021
url https://revistas.uncu.edu.ar/ojs3/index.php/RFCA/article/view/3855
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first_indexed 2022-06-20T13:53:34Z
last_indexed 2022-06-20T13:53:34Z
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