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Registro Completo |
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Biblioteca(s): |
Embrapa Algodão. |
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Data corrente: |
21/11/2018 |
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Data da última atualização: |
21/11/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
CARVALHO, L. P. de; TEODORO, P. E.; BARROSO, L. M. A.; FARIAS, F. J. C.; MORELLO, C. de L.; NASCIMENTO, M. |
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Afiliação: |
LUIZ PAULO DE CARVALHO, CNPA; PAULO EDUARO TEODORO, UFMS - CHAPADÃO DO SUL, MS; LAÍS MAYARA AZEVEDO BARROSO, UFV; FRANCISCO JOSE CORREIA FARIAS, CNPA; CAMILO DE LELIS MORELLO, CNPA; MOYSÉS NASCIMENTO, UFV. |
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Título: |
Artificial neural networks classify cotton genotypes for fiber length. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Crop Breeding and Applied Biotechnology, v. 18, p. 200-204, 2018. |
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ISSN: |
1518-7853 |
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DOI: |
10.1590/1984-70332018v18n2n28 |
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Idioma: |
Inglês |
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Conteúdo: |
Fiber length is the main trait that needs to be improved in cotton. However, the presence of genotypes x environments interaction for this trait can hinder the recommendation of genotypes with greater length fibers. The aim of this study was to evaluate the adaptability and stability of the fibers length of cotton genotypes for recommendation to the Midwest and Northeast, using artificial neural networks (ANNs) and Eberhart and Russell method. Seven trials were carried out in the states of Ceará, Rio Grande do Norte, Goiás and Mato Grosso do Sul. Experimental design was a randomized block with four replications. Data were submitted to analysis of adaptability and stability through the Eberhart & Russell and ANNs methodologies. Based on these methods, the genotypes BRS Aroeira, CNPA CNPA 2009 42 and CNPA 2009 27 has better performance in unfavorable, general and favorable environment, respectively, for having fiber length above the overall mean of environments and high phenotypic stability. |
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Palavras-Chave: |
Inteligência artificial. |
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Thesagro: |
Algodão; Genótipo; Gossypium Hirsutum; Gossypium Hirsutum Marie Galante. |
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Thesaurus Nal: |
Artificial intelligence; Cotton; Genotype-environment interaction. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/186613/1/Artificial-neural-networks.pdf
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Marc: |
LEADER 01921naa a2200301 a 4500
001 2099791
005 2018-11-21
008 2018 bl uuuu u00u1 u #d
022 $a1518-7853
024 7 $a10.1590/1984-70332018v18n2n28$2DOI
100 1 $aCARVALHO, L. P. de
245 $aArtificial neural networks classify cotton genotypes for fiber length.$h[electronic resource]
260 $c2018
520 $aFiber length is the main trait that needs to be improved in cotton. However, the presence of genotypes x environments interaction for this trait can hinder the recommendation of genotypes with greater length fibers. The aim of this study was to evaluate the adaptability and stability of the fibers length of cotton genotypes for recommendation to the Midwest and Northeast, using artificial neural networks (ANNs) and Eberhart and Russell method. Seven trials were carried out in the states of Ceará, Rio Grande do Norte, Goiás and Mato Grosso do Sul. Experimental design was a randomized block with four replications. Data were submitted to analysis of adaptability and stability through the Eberhart & Russell and ANNs methodologies. Based on these methods, the genotypes BRS Aroeira, CNPA CNPA 2009 42 and CNPA 2009 27 has better performance in unfavorable, general and favorable environment, respectively, for having fiber length above the overall mean of environments and high phenotypic stability.
650 $aArtificial intelligence
650 $aCotton
650 $aGenotype-environment interaction
650 $aAlgodão
650 $aGenótipo
650 $aGossypium Hirsutum
650 $aGossypium Hirsutum Marie Galante
653 $aInteligência artificial
700 1 $aTEODORO, P. E.
700 1 $aBARROSO, L. M. A.
700 1 $aFARIAS, F. J. C.
700 1 $aMORELLO, C. de L.
700 1 $aNASCIMENTO, M.
773 $tCrop Breeding and Applied Biotechnology$gv. 18, p. 200-204, 2018.
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Registro original: |
Embrapa Algodão (CNPA) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Pantanal. Para informações adicionais entre em contato com cpap.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Pantanal. |
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Data corrente: |
19/07/2023 |
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Data da última atualização: |
19/07/2023 |
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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: |
SILVA, A. P. V. da; DIAS, A. M.; ÍTAVO, L. C. V.; ÍTAVO, C. C. B. F.; GOMES, M. de N. B.; NOGUEIRA, E.; DIFANTE, G. dos S.; GOMES, E. N. O.; JUNGES, L. |
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Afiliação: |
ANA PAULA VISCARDI DA SILVA, UNIVERSIDADE FEDERAL DE MATO GROSSO DO SUL; ALEXANDRE MENEZES DIAS, UNIVERSIDADE FEDERAL DE MATO GROSSO DO SUL; LUÍS CARLOS VINHAS ÍTAVO, UNIVERSIDADE FEDERAL DE MATO GROSSO DO SUL; CAMILA CELESTE BRANDÃO FERREIRA ÍTAVO, UNIVERSIDADE FEDERAL DE MATO GROSSO DO SUL; MARINA DE NADAI BONIN GOMES, UNIVERSIDADE FEDERAL DE MATO GROSSO DO SUL; ERIKLIS NOGUEIRA, CPAP; GELSON DOS SANTOS DIFANTE, UNIVERSIDADE FEDERAL DE MATO GROSSO DO SUL; EVA NARA OLIVEIRA GOMES, UNIVERSIDADE FEDERAL DE MATO GROSSO DO SUL; LUCIANA JUNGES, UNIVERSIDADE FEDERAL DE MATO GROSSO DO SUL. |
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Título: |
The influence of protected fat in supplements on the performance and carcass characteristics of Nellore beef bulls in tropical pasture. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Tropical Animal Health and Production, v. 54, 86, Feb. 2022. |
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ISSN: |
1573-7438 |
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DOI: |
https://doi.org/10.1007/s11250-022-03072-3 |
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Idioma: |
Inglês |
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Conteúdo: |
The finishing stages for uncastrated Nellore beef cattle on tropical pasture often produce high yielding carcasses with minimal fat cover. This study aimed to evaluate the performance and carcass characteristics of uncastrated Nellore beef bulls fed a diet containing rumen-protected fat during the rainy period for 210 days. Eighty Nellore beef bulls with 28 months of age, and an initial live weight of 416 kg+-16 kg, were allocated into eight paddocks (7.0 ha), totaling 56 ha, at 10 animals/paddock, in a continuous-grazing system. The pasture characteristics, performance production, loin-eye area (cm2), subcutaneous fat thickness (mm), and rump fat thickness were evaluated. There was no effect (P>0.05) on the average total weight gain (203.00 kg) and average daily gain (0.98 kg/day). On the other hand, the subcutaneous fat thickness and rump fat thickness were 42.8% and 49.5% greater, respectively, when the animals were fed a diet containing rumen-protected fat inclusion (P<0.05). Supplementation with rumen-protected fat provided a thicker fat layer in the carcass of Nellore beef bulls grazing on tropical pasture during the rainy period. |
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Palavras-Chave: |
Degree of fatness. |
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Thesagro: |
Carcaça; Gado Nelore; Nutrição Animal; Pastagem; Suplemento Alimentar. |
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Thesaurus NAL: |
Animal performance; Beef bulls; Carcass characteristics; Grasses; Protein supplements. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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Marc: |
LEADER 02295naa a2200373 a 4500
001 2155057
005 2023-07-19
008 2022 bl uuuu u00u1 u #d
022 $a1573-7438
024 7 $ahttps://doi.org/10.1007/s11250-022-03072-3$2DOI
100 1 $aSILVA, A. P. V. da
245 $aThe influence of protected fat in supplements on the performance and carcass characteristics of Nellore beef bulls in tropical pasture.$h[electronic resource]
260 $c2022
520 $aThe finishing stages for uncastrated Nellore beef cattle on tropical pasture often produce high yielding carcasses with minimal fat cover. This study aimed to evaluate the performance and carcass characteristics of uncastrated Nellore beef bulls fed a diet containing rumen-protected fat during the rainy period for 210 days. Eighty Nellore beef bulls with 28 months of age, and an initial live weight of 416 kg+-16 kg, were allocated into eight paddocks (7.0 ha), totaling 56 ha, at 10 animals/paddock, in a continuous-grazing system. The pasture characteristics, performance production, loin-eye area (cm2), subcutaneous fat thickness (mm), and rump fat thickness were evaluated. There was no effect (P>0.05) on the average total weight gain (203.00 kg) and average daily gain (0.98 kg/day). On the other hand, the subcutaneous fat thickness and rump fat thickness were 42.8% and 49.5% greater, respectively, when the animals were fed a diet containing rumen-protected fat inclusion (P<0.05). Supplementation with rumen-protected fat provided a thicker fat layer in the carcass of Nellore beef bulls grazing on tropical pasture during the rainy period.
650 $aAnimal performance
650 $aBeef bulls
650 $aCarcass characteristics
650 $aGrasses
650 $aProtein supplements
650 $aCarcaça
650 $aGado Nelore
650 $aNutrição Animal
650 $aPastagem
650 $aSuplemento Alimentar
653 $aDegree of fatness
700 1 $aDIAS, A. M.
700 1 $aÍTAVO, L. C. V.
700 1 $aÍTAVO, C. C. B. F.
700 1 $aGOMES, M. de N. B.
700 1 $aNOGUEIRA, E.
700 1 $aDIFANTE, G. dos S.
700 1 $aGOMES, E. N. O.
700 1 $aJUNGES, L.
773 $tTropical Animal Health and Production$gv. 54, 86, Feb. 2022.
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Embrapa Pantanal (CPAP) |
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