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Registro Completo |
Biblioteca(s): |
Biblioteca Rui Tendinha. |
Data corrente: |
06/04/2018 |
Data da última atualização: |
06/04/2018 |
Autoria: |
BENEDETTI, E.; COLMANETTI A. L. |
Título: |
Produção de leite a baixo custo, com enfase na utilização intensiva de forrageiras tropicais. |
Ano de publicação: |
1996 |
Fonte/Imprenta: |
Brasilia: Ministério da Agricultura / Secretaria de Desenvolvimento Rural / Projeto Novas Fronteiras do Cooperativismo / Uberlândia: Universidade Federal de Uberlândia, 1996. |
Páginas: |
24 p. |
Idioma: |
Português |
Conteúdo: |
Custos de formação de diversas forrageiras; Custo de formação de milho para silagem; Custo de formação de milho para silagem no Sistema Barreirão; Custo de produção da cana-de-açúcar; Custo de formação de alternativas forrageiras para inverno seco (sorgo de corte) - perene - pasto; Custo de formação da pastagem Brachiaria decumbens; Custo de formação da pastagem Tanzânia; Custo de produção da legumineira; Leucena+amendoim forrageiro+calopogonio; Custos das formações das áreas de forrageiras do projeto "Produção de leite a baixo custo"; Custo da produção de leite a pasto. |
Palavras-Chave: |
Brasil; Cultivation; Cultivo; Custo; Custo de producao; Feed crops; Feed grasses; Forage; Forrageira tropical; Forrageiras tropicais; Leite; Milk; Milk production; Pastagem; Pasture; Planta forrageira; Producao; Produção de leite; Producao leiteira; Production; Production costs. |
Categoria do assunto: |
-- |
Marc: |
LEADER 01732nam a2200385 a 4500 001 1019856 005 2018-04-06 008 1996 bl uuuu u0uu1 u #d 100 1 $aBENEDETTI, E. 245 $aProdução de leite a baixo custo, com enfase na utilização intensiva de forrageiras tropicais. 260 $aBrasilia: Ministério da Agricultura / Secretaria de Desenvolvimento Rural / Projeto Novas Fronteiras do Cooperativismo / Uberlândia: Universidade Federal de Uberlândia$c1996 300 $a24 p. 520 $aCustos de formação de diversas forrageiras; Custo de formação de milho para silagem; Custo de formação de milho para silagem no Sistema Barreirão; Custo de produção da cana-de-açúcar; Custo de formação de alternativas forrageiras para inverno seco (sorgo de corte) - perene - pasto; Custo de formação da pastagem Brachiaria decumbens; Custo de formação da pastagem Tanzânia; Custo de produção da legumineira; Leucena+amendoim forrageiro+calopogonio; Custos das formações das áreas de forrageiras do projeto "Produção de leite a baixo custo"; Custo da produção de leite a pasto. 653 $aBrasil 653 $aCultivation 653 $aCultivo 653 $aCusto 653 $aCusto de producao 653 $aFeed crops 653 $aFeed grasses 653 $aForage 653 $aForrageira tropical 653 $aForrageiras tropicais 653 $aLeite 653 $aMilk 653 $aMilk production 653 $aPastagem 653 $aPasture 653 $aPlanta forrageira 653 $aProducao 653 $aProdução de leite 653 $aProducao leiteira 653 $aProduction 653 $aProduction costs 700 1 $aCOLMANETTI A. L.
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Biblioteca Rui Tendinha (BRT) |
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Registro Completo |
Biblioteca(s): |
Biblioteca Rui Tendinha. |
Data corrente: |
05/02/2016 |
Data da última atualização: |
02/07/2017 |
Tipo da produção científica: |
Publicação em Anais de Congresso |
Autoria: |
FERRÃO, L. F. V.; FERRÃO, R. G.; FERRÃO, M. A. G.; FONSECA, A. F. A. da.; GARCIA, A. F. |
Afiliação: |
Luis Felipe V. Ferrão, ESALQ/USP; Romário Gava Ferrão, Incaper; Maria Amélia Gava Ferrão, Incaper/Embrapa Café; Aymbiré Francisco Almeida da Fonseca, Incaper/Embrapa Café; Antônio Augusto Franco Garcia, ESALQ/USP. |
Título: |
Mixed model to multiple Harvest-Location trial applied to genomic prediction in Coffea canephora. |
Ano de publicação: |
2016 |
Fonte/Imprenta: |
In: PLANT & ANIMAL GENOME CONFERENCE, 24., 2016, San Diego, CA. [Abstracts...]. San Diego: [s.n.], 2016. não paginado. P1168. |
Idioma: |
Português |
Conteúdo: |
Genomic Selection (GS) has been studied in several crops with potential to increase the rates of genetic gain and reduce the length of breeding cycle. Despite the relevance, there is a modest number of reports applied to the genus Coffea. Nevertheless, the effective implementation depends on the ability to consider genomic models that represent with adequate reliability the breeding scenario in which the specie are inserted. Coffee experimentation, in general, is represented for evaluations in multiples sites and harvests (MET), in order to understand the interaction magnitude and predicting the performance of untested genotypes. Therefore, the main objective of this study was investigate GS models that accommodate MET modeling. A expansion of the traditional GBLUP was proposed in order to accommodate the interactions in the GS model. Different scenarios that mimic the coffee breeding and models commonly used in the analysis were compared. In terms of goodness of fit this approach showed the lowest AIC and BIC values and, consequently, the best goodness of fit. The predictive capacity was measured by cross-validation and, in contrast with the GBLUP, the incorporation of the MET modeling showed higher predictive accuracy (on average 10-17% higher) and lower prediction errors. All the genomic analysis were performed using the Genotyping-by-sequencing (GBS) approach, which showed a good potential to be used in coffee breeding programs. Thus, as conclusion, the results achieved may be used as basis for additional studies into the Genus Coffea and expanded for other perennial crops, that have a similar experimentation design. MenosGenomic Selection (GS) has been studied in several crops with potential to increase the rates of genetic gain and reduce the length of breeding cycle. Despite the relevance, there is a modest number of reports applied to the genus Coffea. Nevertheless, the effective implementation depends on the ability to consider genomic models that represent with adequate reliability the breeding scenario in which the specie are inserted. Coffee experimentation, in general, is represented for evaluations in multiples sites and harvests (MET), in order to understand the interaction magnitude and predicting the performance of untested genotypes. Therefore, the main objective of this study was investigate GS models that accommodate MET modeling. A expansion of the traditional GBLUP was proposed in order to accommodate the interactions in the GS model. Different scenarios that mimic the coffee breeding and models commonly used in the analysis were compared. In terms of goodness of fit this approach showed the lowest AIC and BIC values and, consequently, the best goodness of fit. The predictive capacity was measured by cross-validation and, in contrast with the GBLUP, the incorporation of the MET modeling showed higher predictive accuracy (on average 10-17% higher) and lower prediction errors. All the genomic analysis were performed using the Genotyping-by-sequencing (GBS) approach, which showed a good potential to be used in coffee breeding programs. Thus, as conclusion, the results achieved ... Mostrar Tudo |
Palavras-Chave: |
Café Conilon; Coffea canephora; Genomic Selection. |
Categoria do assunto: |
G Melhoramento Genético |
URL: |
http://biblioteca.incaper.es.gov.br/digital/bitstream/item/2728/1/Mixed-Model-to-Multiple-Harvest-Location1.pdf
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Marc: |
LEADER 02337nam a2200193 a 4500 001 1009544 005 2017-07-02 008 2016 bl uuuu u01u1 u #d 100 1 $aFERRÃO, L. F. V. 245 $aMixed model to multiple Harvest-Location trial applied to genomic prediction in Coffea canephora.$h[electronic resource] 260 $aIn: PLANT & ANIMAL GENOME CONFERENCE, 24., 2016, San Diego, CA. [Abstracts...]. San Diego: [s.n.], 2016. não paginado. P1168.$c1168 520 $aGenomic Selection (GS) has been studied in several crops with potential to increase the rates of genetic gain and reduce the length of breeding cycle. Despite the relevance, there is a modest number of reports applied to the genus Coffea. Nevertheless, the effective implementation depends on the ability to consider genomic models that represent with adequate reliability the breeding scenario in which the specie are inserted. Coffee experimentation, in general, is represented for evaluations in multiples sites and harvests (MET), in order to understand the interaction magnitude and predicting the performance of untested genotypes. Therefore, the main objective of this study was investigate GS models that accommodate MET modeling. A expansion of the traditional GBLUP was proposed in order to accommodate the interactions in the GS model. Different scenarios that mimic the coffee breeding and models commonly used in the analysis were compared. In terms of goodness of fit this approach showed the lowest AIC and BIC values and, consequently, the best goodness of fit. The predictive capacity was measured by cross-validation and, in contrast with the GBLUP, the incorporation of the MET modeling showed higher predictive accuracy (on average 10-17% higher) and lower prediction errors. All the genomic analysis were performed using the Genotyping-by-sequencing (GBS) approach, which showed a good potential to be used in coffee breeding programs. Thus, as conclusion, the results achieved may be used as basis for additional studies into the Genus Coffea and expanded for other perennial crops, that have a similar experimentation design. 653 $aCafé Conilon 653 $aCoffea canephora 653 $aGenomic Selection 700 1 $aFERRÃO, R. G. 700 1 $aFERRÃO, M. A. G. 700 1 $aFONSECA, A. F. A. da. 700 1 $aGARCIA, A. F.
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