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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| Autores principales: | , , , , , , , |
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| Formato: | Online |
| Lenguaje: | eng |
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Facultad de Ciencias Agrarias-UNCuyo
2021
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| Materias: | |
| Acceso en línea: | https://revistas.uncu.edu.ar/ojs3/index.php/RFCA/article/view/3855 |
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Universidad Nacional de Cuyo |
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Revistas en línea |
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Revistas en línea |
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Revista de la Facultad de Ciencias Agrarias |
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Revista de la Facultad de Ciencias Agrarias |
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R-107 |
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eng |
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Online |
| 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 |
| spellingShingle |
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 biomassa bioenergía bioelectricidad Saccharum spp. REML/BLUP biomass bioenergy bioeletricity Saccharum spp. REML/BLUP |
| 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 |
| topic |
biomassa bioenergía bioelectricidad Saccharum spp. REML/BLUP biomass bioenergy bioeletricity Saccharum spp. REML/BLUP |
| topic_facet |
biomassa bioenergía bioelectricidad Saccharum spp. REML/BLUP biomass bioenergy bioeletricity Saccharum spp. REML/BLUP |
| work_keys_str_mv |
AT dutrafilhojoaodeandrade mixedmodelingforfiberyieldgeneticselectioninsugarcane AT soutolautersilva mixedmodelingforfiberyieldgeneticselectioninsugarcane AT delunaromulogil mixedmodelingforfiberyieldgeneticselectioninsugarcane AT souzaanielsondossantos mixedmodelingforfiberyieldgeneticselectioninsugarcane AT silvafrankgomes mixedmodelingforfiberyieldgeneticselectioninsugarcane AT silvafabianaaparecidacavalcanti mixedmodelingforfiberyieldgeneticselectioninsugarcane AT simoesnetodjalmaeuzebio mixedmodelingforfiberyieldgeneticselectioninsugarcane AT calsajuniortercilio mixedmodelingforfiberyieldgeneticselectioninsugarcane |
| _version_ |
1800220924401680384 |
| spelling |
I11-R107article-38552022-02-16T18:25:29Z Mixed modeling for fiber yield genetic selection in sugarcane Mixed modeling for fiber yield genetic selection in sugarcane 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 biomassa bioenergía bioelectricidad Saccharum spp. REML/BLUP biomass bioenergy bioeletricity Saccharum spp. REML/BLUP 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. 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. Facultad de Ciencias Agrarias-UNCuyo 2021-12-01 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://revistas.uncu.edu.ar/ojs3/index.php/RFCA/article/view/3855 10.48162/rev.39.034 Revista de la Facultad de Ciencias Agrarias UNCuyo; Vol. 53 No. 2 (2021): July-December; 11-19 Revista de la Facultad de Ciencias Agrarias UNCuyo; Vol. 53 Núm. 2 (2021): Julio-Diciembre; 11-19 1853-8665 0370-4661 eng https://revistas.uncu.edu.ar/ojs3/index.php/RFCA/article/view/3855/3708 Derechos de autor 2018 Revista de la Facultad de Ciencias Agrarias UNCuyo https://creativecommons.org/licenses/by-nc-sa/3.0/deed.es |
