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Registro Completo |
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
08/02/2022 |
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Data da última atualização: |
08/02/2022 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
CARVALHO, A. P. da S.; GOMES, F. J.; CABRAL, L. S.; RODRIGUES, R. de A. R.; PEREIRA, D. H.; PEDREIRA, B. C. e. |
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Afiliação: |
ANA PAULA DA SILVA CARVALHO, UFMT, Sinop-MT; FAGNER JUNIOR GOMES, USP-ESALQ, Piracicaba-SP; LUCIANO SILVA CABRAL, UFMT, Sinop-MT; RENATO DE ARAGAO RIBEIRO RODRIGUES, CNPS; DALTON HENRIQUE PEREIRA, UFMT, Sinop-MT; BRUNO CARNEIRO E PEDREIRA, CPAMT. |
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Título: |
Enteric methane emission by steers grazing on Ipyporã and Mulato II brachiariagrasses pastures. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 56., 2021, Florianópolis. Animal science: challenges in production and sustainability: proceedings [...]. Brasília, DF: Sociedade Brasileira de Zootecnia, 2021. p. 390. Evento virtual. |
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Idioma: |
Inglês |
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Conteúdo: |
The reduction of enteric methane (CH4) emitted by livestock is driven by pasture management, which can enhance forage accumulation and animal performance, supporting lower CH4 emission per kg of meat produced. In this sense, new forage grasses can increase the pasture production (e.g.; quantity and quality) and average daily gain, reducing CH4 emission and improving the efficiency of the forage-based livestock systems. Our objective was to compare the CH4 emission by Nellore steers grazing on ?Ipyporã? [B. ruziziensis Germ. & Evrard × B. brizantha (Hochst. ex A. Rich.) Stapf] and ?Mulato II? (B. ruziziensis × B. brizantha × B. decumbens Stapf) brachiariagrasses pastures in Sinop, MT, Brazil. All experimental units were continuously stocked using a variable stocking rate from May 2016 to May 2018. The GreenFeed® was used to measure CH4 emissions at 4- h intervals with up to eight drops of 50 g (feed supply) distributed in 40-s intervals for up to 5 min in each feeding period (Feb. 1 to Apr. 31, 2017, in the first year; and from Nov. 27, 2017, to Jan. 11, 2018, and from Mar. 29, 2018, to April 30, 2018, in the second year). The average CH4 emissions were 59.1 and 71.9 ± 9.5 kg animal-1 year-1 for Ipyporã, and 55.8 and 71.9 ± 3.2 kg animal-1 year-1 for Mulato II, in the first and second years, respectively. The greater was the stocking rate and the gain ha-1, the greater was the CH4 emission per area in both forage-based systems, with the greatest values on Mulato II (P<0.05). Although a more intensive livestock system, with greater animal production per area, promotes a greater absolute CH4 emission due to the increased stocking rate, it is important to consider the system efficiency. The CH4 emission per area decreased as the average daily gain increased for the two grasses. In addition, when considering the gain ha-1, which consists of the relationship of individual performance and the stocking rate, the greater the gain ha-1, the lower the relative CH4 emission per kilogram of meat produced. The CH4 emission by the gain per area (kg CH4.kg gain ha-1) presented a similar response pattern for both cultivars. For Ipyporã, relative emission decreases while the gain ha-1 increases up to 33.6 kg liveweight ha-1 per month, stabilizing the emission at 0.25 kg CH4.kg gain ha-1. On the other hand, the reduction in CH4 emission per gain per area stabilizes at 0.27 kg CH4.kg gain ha-1 for Mulato II, when the gain per area reaches 20.6 kg liveweight ha-1 per month. We concluded that forage-based systems producing more than 33.6 and 20.6 kg of liveweight ha-1 per month on Ipyporã and Mulato II pastures, respectively, are more efficient, emitting less CH4 per unit of product. MenosThe reduction of enteric methane (CH4) emitted by livestock is driven by pasture management, which can enhance forage accumulation and animal performance, supporting lower CH4 emission per kg of meat produced. In this sense, new forage grasses can increase the pasture production (e.g.; quantity and quality) and average daily gain, reducing CH4 emission and improving the efficiency of the forage-based livestock systems. Our objective was to compare the CH4 emission by Nellore steers grazing on ?Ipyporã? [B. ruziziensis Germ. & Evrard × B. brizantha (Hochst. ex A. Rich.) Stapf] and ?Mulato II? (B. ruziziensis × B. brizantha × B. decumbens Stapf) brachiariagrasses pastures in Sinop, MT, Brazil. All experimental units were continuously stocked using a variable stocking rate from May 2016 to May 2018. The GreenFeed® was used to measure CH4 emissions at 4- h intervals with up to eight drops of 50 g (feed supply) distributed in 40-s intervals for up to 5 min in each feeding period (Feb. 1 to Apr. 31, 2017, in the first year; and from Nov. 27, 2017, to Jan. 11, 2018, and from Mar. 29, 2018, to April 30, 2018, in the second year). The average CH4 emissions were 59.1 and 71.9 ± 9.5 kg animal-1 year-1 for Ipyporã, and 55.8 and 71.9 ± 3.2 kg animal-1 year-1 for Mulato II, in the first and second years, respectively. The greater was the stocking rate and the gain ha-1, the greater was the CH4 emission per area in both forage-based systems, with the greatest values on Mulato II (P<0.05). ... Mostrar Tudo |
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Palavras-Chave: |
Emissão de metano; GreenFeed; Ipyporã; Lavoura-pecuária; Mulato ii. |
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Thesagro: |
Brachiaria; Brachiaria Brizantha; Brachiaria Decumbens; Brachiaria Ruziziensis; Capim Urochloa; Efeito Estufa; Forragem; Gado Nelore; Metano; Pastagem. |
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Thesaurus Nal: |
Environmental sustainability; Forage; Forage grasses; Forage production; Grasses; Greenhouses; Methane; Nellore; Urochloa. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/231063/1/Enteric-methane-emission-by-steers-grazing-2021.pdf
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Marc: |
LEADER 04170nam a2200457 a 4500
001 2139806
005 2022-02-08
008 2021 bl uuuu u00u1 u #d
100 1 $aCARVALHO, A. P. da S.
245 $aEnteric methane emission by steers grazing on Ipyporã and Mulato II brachiariagrasses pastures.$h[electronic resource]
260 $aIn: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 56., 2021, Florianópolis. Animal science: challenges in production and sustainability: proceedings [...]. Brasília, DF: Sociedade Brasileira de Zootecnia, 2021. p. 390. Evento virtual.$c2021
520 $aThe reduction of enteric methane (CH4) emitted by livestock is driven by pasture management, which can enhance forage accumulation and animal performance, supporting lower CH4 emission per kg of meat produced. In this sense, new forage grasses can increase the pasture production (e.g.; quantity and quality) and average daily gain, reducing CH4 emission and improving the efficiency of the forage-based livestock systems. Our objective was to compare the CH4 emission by Nellore steers grazing on ?Ipyporã? [B. ruziziensis Germ. & Evrard × B. brizantha (Hochst. ex A. Rich.) Stapf] and ?Mulato II? (B. ruziziensis × B. brizantha × B. decumbens Stapf) brachiariagrasses pastures in Sinop, MT, Brazil. All experimental units were continuously stocked using a variable stocking rate from May 2016 to May 2018. The GreenFeed® was used to measure CH4 emissions at 4- h intervals with up to eight drops of 50 g (feed supply) distributed in 40-s intervals for up to 5 min in each feeding period (Feb. 1 to Apr. 31, 2017, in the first year; and from Nov. 27, 2017, to Jan. 11, 2018, and from Mar. 29, 2018, to April 30, 2018, in the second year). The average CH4 emissions were 59.1 and 71.9 ± 9.5 kg animal-1 year-1 for Ipyporã, and 55.8 and 71.9 ± 3.2 kg animal-1 year-1 for Mulato II, in the first and second years, respectively. The greater was the stocking rate and the gain ha-1, the greater was the CH4 emission per area in both forage-based systems, with the greatest values on Mulato II (P<0.05). Although a more intensive livestock system, with greater animal production per area, promotes a greater absolute CH4 emission due to the increased stocking rate, it is important to consider the system efficiency. The CH4 emission per area decreased as the average daily gain increased for the two grasses. In addition, when considering the gain ha-1, which consists of the relationship of individual performance and the stocking rate, the greater the gain ha-1, the lower the relative CH4 emission per kilogram of meat produced. The CH4 emission by the gain per area (kg CH4.kg gain ha-1) presented a similar response pattern for both cultivars. For Ipyporã, relative emission decreases while the gain ha-1 increases up to 33.6 kg liveweight ha-1 per month, stabilizing the emission at 0.25 kg CH4.kg gain ha-1. On the other hand, the reduction in CH4 emission per gain per area stabilizes at 0.27 kg CH4.kg gain ha-1 for Mulato II, when the gain per area reaches 20.6 kg liveweight ha-1 per month. We concluded that forage-based systems producing more than 33.6 and 20.6 kg of liveweight ha-1 per month on Ipyporã and Mulato II pastures, respectively, are more efficient, emitting less CH4 per unit of product.
650 $aEnvironmental sustainability
650 $aForage
650 $aForage grasses
650 $aForage production
650 $aGrasses
650 $aGreenhouses
650 $aMethane
650 $aNellore
650 $aUrochloa
650 $aBrachiaria
650 $aBrachiaria Brizantha
650 $aBrachiaria Decumbens
650 $aBrachiaria Ruziziensis
650 $aCapim Urochloa
650 $aEfeito Estufa
650 $aForragem
650 $aGado Nelore
650 $aMetano
650 $aPastagem
653 $aEmissão de metano
653 $aGreenFeed
653 $aIpyporã
653 $aLavoura-pecuária
653 $aMulato ii
700 1 $aGOMES, F. J.
700 1 $aCABRAL, L. S.
700 1 $aRODRIGUES, R. de A. R.
700 1 $aPEREIRA, D. H.
700 1 $aPEDREIRA, B. C. e
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Registro original: |
Embrapa Solos (CNPS) |
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Registro Completo
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Biblioteca(s): |
Embrapa Rondônia. |
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Data corrente: |
13/12/2021 |
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Data da última atualização: |
14/12/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
SOUZA, M. S.; FERREIRA, F. M.; ROCHA, R. B.; LOPES, M. T. G.; OLIVEIRA, L. N. L. |
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Afiliação: |
MARCILÉIA SANTOS SOUZA, Universidade Federal do Amazonas (UFAM); FÁBIO MEDEIROS FERREIRA, Universidade Federal do Amazonas (UFAM); RODRIGO BARROS ROCHA, CPAF-RO; MARIA TERESA GOMES LOPES, Universidade Federal do Amazonas (UFAM); LEILANE NICOLINO LAMARÃO OLIVEIRA, Prefeitura Municipal de Urucurituba, Secretaria de Meio Ambiente, Urucurituba, Amazonas. |
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Título: |
Classification of Coffea canephora clones in botanical varieties by discriminant analysis of the k-nearest neighbors. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Revista Ceres, v. 68, n. 5, p. 420-428, set./out. 2021. |
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ISSN: |
0034-737X (Impresso) / 2177-3491 (Online) |
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DOI: |
https://doi.org/10.1590/0034-737X202168050007 |
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Idioma: |
Inglês |
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Conteúdo: |
A strategy for genetic improvement of coffee Coffea canephora plants is to aggregate through artificial crossings the characteristics of the Conilon botanical variety, such as shorter height and drought resistance, with the higher average grain size and resistance to pests and diseases of the Robusta variety. Efficiently separating the clones into these two groups with the aid of appropriate analytical procedures makes field tasks easier for professionals and, thus, allows the systematic production of intervarietal hybrids. This study verifies if the non-parametric discriminant analyzes of the k-nearest neighbors (k-NN) and k-average neighbors (k-AN) would be able to correctly classify 130 coffee clones in their botanical varieties previously designated as Conilon, Robusta and Intervarietal Hybrids populations from ten quantitative agronomic characteristics, including the processed coffee beans yield, considering the existing population genetic divergence. These characteristics were found to be good discriminatory variables and the discriminant analyzes k-NN and k-AN, based on the principle of similarity by neighborhood, classified the clones with high hit rates. The k-AN discriminant analysis was able to better discriminate intervarietal hybrids from the group clones Conilon. The results correctly reflected the genetic diversity between the botanical varieties and intervarietal hybrids of Coffea canephora, allowing us to conclude that these classification methods can assist breeders in the main task of discriminating Conilon from Robusta clones. MenosA strategy for genetic improvement of coffee Coffea canephora plants is to aggregate through artificial crossings the characteristics of the Conilon botanical variety, such as shorter height and drought resistance, with the higher average grain size and resistance to pests and diseases of the Robusta variety. Efficiently separating the clones into these two groups with the aid of appropriate analytical procedures makes field tasks easier for professionals and, thus, allows the systematic production of intervarietal hybrids. This study verifies if the non-parametric discriminant analyzes of the k-nearest neighbors (k-NN) and k-average neighbors (k-AN) would be able to correctly classify 130 coffee clones in their botanical varieties previously designated as Conilon, Robusta and Intervarietal Hybrids populations from ten quantitative agronomic characteristics, including the processed coffee beans yield, considering the existing population genetic divergence. These characteristics were found to be good discriminatory variables and the discriminant analyzes k-NN and k-AN, based on the principle of similarity by neighborhood, classified the clones with high hit rates. The k-AN discriminant analysis was able to better discriminate intervarietal hybrids from the group clones Conilon. The results correctly reflected the genetic diversity between the botanical varieties and intervarietal hybrids of Coffea canephora, allowing us to conclude that these classification methods can assist... Mostrar Tudo |
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Palavras-Chave: |
Amazônia Ocidental; Embrapa Rondônia; Ouro Preto do Oeste (RO); Rondônia; Western Amazon. |
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Thesagro: |
Café; Café Robusta; Campo Experimental; Clone; Coffea Canephora; Cruzamento Vegetal; Melhoramento Genético Vegetal; Variação Genética. |
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Thesaurus NAL: |
Crossing; Demonstration farms; Genetic variation; Plant breeding; Quantitative traits. |
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Categoria do assunto: |
G Melhoramento Genético |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/229046/1/cpafro-18640.pdf
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Marc: |
LEADER 02834naa a2200409 a 4500
001 2137698
005 2021-12-14
008 2021 bl uuuu u00u1 u #d
022 $a0034-737X (Impresso) / 2177-3491 (Online)
024 7 $ahttps://doi.org/10.1590/0034-737X202168050007$2DOI
100 1 $aSOUZA, M. S.
245 $aClassification of Coffea canephora clones in botanical varieties by discriminant analysis of the k-nearest neighbors.$h[electronic resource]
260 $c2021
520 $aA strategy for genetic improvement of coffee Coffea canephora plants is to aggregate through artificial crossings the characteristics of the Conilon botanical variety, such as shorter height and drought resistance, with the higher average grain size and resistance to pests and diseases of the Robusta variety. Efficiently separating the clones into these two groups with the aid of appropriate analytical procedures makes field tasks easier for professionals and, thus, allows the systematic production of intervarietal hybrids. This study verifies if the non-parametric discriminant analyzes of the k-nearest neighbors (k-NN) and k-average neighbors (k-AN) would be able to correctly classify 130 coffee clones in their botanical varieties previously designated as Conilon, Robusta and Intervarietal Hybrids populations from ten quantitative agronomic characteristics, including the processed coffee beans yield, considering the existing population genetic divergence. These characteristics were found to be good discriminatory variables and the discriminant analyzes k-NN and k-AN, based on the principle of similarity by neighborhood, classified the clones with high hit rates. The k-AN discriminant analysis was able to better discriminate intervarietal hybrids from the group clones Conilon. The results correctly reflected the genetic diversity between the botanical varieties and intervarietal hybrids of Coffea canephora, allowing us to conclude that these classification methods can assist breeders in the main task of discriminating Conilon from Robusta clones.
650 $aCrossing
650 $aDemonstration farms
650 $aGenetic variation
650 $aPlant breeding
650 $aQuantitative traits
650 $aCafé
650 $aCafé Robusta
650 $aCampo Experimental
650 $aClone
650 $aCoffea Canephora
650 $aCruzamento Vegetal
650 $aMelhoramento Genético Vegetal
650 $aVariação Genética
653 $aAmazônia Ocidental
653 $aEmbrapa Rondônia
653 $aOuro Preto do Oeste (RO)
653 $aRondônia
653 $aWestern Amazon
700 1 $aFERREIRA, F. M.
700 1 $aROCHA, R. B.
700 1 $aLOPES, M. T. G.
700 1 $aOLIVEIRA, L. N. L.
773 $tRevista Ceres$gv. 68, n. 5, p. 420-428, set./out. 2021.
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