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Registro Completo |
Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Trigo. |
Data corrente: |
15/09/1999 |
Data da última atualização: |
15/09/1999 |
Autoria: |
CUNHA, G. R. da; DALMAGO, G. A.; ESTEFANEL, V. |
Afiliação: |
1 EMBRAPA-CNPT; 2 CNPq-AP; 3 UFSM, Santa Maria. |
Título: |
ENSO influences on wheat crop in Brazil. |
Título original: |
Influências do fenômeno Enso sobre a cultura de trigo no Brasil. |
Ano de publicação: |
1999 |
Fonte/Imprenta: |
Revista Brasileira de Agrometeorologia, Santa Maria, v. 7, n. 1, p. 127-138, jan./jun. 1999. |
Idioma: |
Inglês |
Conteúdo: |
The El Niño-Southern Oscillation (ENSO) phenomenon or just El Niño, as commonly called, influences the climatic behavior in different areas of the world. In the case of Brazil, this phenomenon affects the northern part of the Northeast Region, the eastern Amazon (in the tropical area) and the extra-tropical area of the Southern Region. The climatic variability associated with the ENSO phenomenon phases, especially rainfall anomalies, may be quantified and this information can be effectively used by crop managers to reduce associated risks or to make better use of forthcoming favorable climatic conditions. The objective of this study was to identify the ENSO phases influencing wheat production in Brazil. The impact of these phases on grain yield was based on a historical series of yield data from 1920 to 1997. For 23 El Niño occurrences analyzed at national level, the deviations in wheat yield was negative in 61% of the cases. For 15 La Niña events, positive influences on wheat yields were observed in 73% of the cases. In the 40 neutral years, 55% of the time yield deviations were positive and 45% of the time were negative. Therefore, the ENSO phenomenon influences wheat yield in Brazil. In general, it causes positive impacts in La Niña years and negative impacts in El Niño years, particularly in the Southern part of the country. |
Palavras-Chave: |
Anomalia climática; Enso; Índice de Oscilação do Sul. |
Thesagro: |
Clima; Trigo. |
Thesaurus Nal: |
El Nino; La Nina. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02053naa a2200241 a 4500 001 1822441 005 1999-09-15 008 1999 bl uuuu u00u1 u #d 100 1 $aCUNHA, G. R. da 240 $aInfluências do fenômeno Enso sobre a cultura de trigo no Brasil. 245 $aENSO influences on wheat crop in Brazil. 260 $c1999 520 $aThe El Niño-Southern Oscillation (ENSO) phenomenon or just El Niño, as commonly called, influences the climatic behavior in different areas of the world. In the case of Brazil, this phenomenon affects the northern part of the Northeast Region, the eastern Amazon (in the tropical area) and the extra-tropical area of the Southern Region. The climatic variability associated with the ENSO phenomenon phases, especially rainfall anomalies, may be quantified and this information can be effectively used by crop managers to reduce associated risks or to make better use of forthcoming favorable climatic conditions. The objective of this study was to identify the ENSO phases influencing wheat production in Brazil. The impact of these phases on grain yield was based on a historical series of yield data from 1920 to 1997. For 23 El Niño occurrences analyzed at national level, the deviations in wheat yield was negative in 61% of the cases. For 15 La Niña events, positive influences on wheat yields were observed in 73% of the cases. In the 40 neutral years, 55% of the time yield deviations were positive and 45% of the time were negative. Therefore, the ENSO phenomenon influences wheat yield in Brazil. In general, it causes positive impacts in La Niña years and negative impacts in El Niño years, particularly in the Southern part of the country. 650 $aEl Nino 650 $aLa Nina 650 $aClima 650 $aTrigo 653 $aAnomalia climática 653 $aEnso 653 $aÍndice de Oscilação do Sul 700 1 $aDALMAGO, G. A. 700 1 $aESTEFANEL, V. 773 $tRevista Brasileira de Agrometeorologia, Santa Maria$gv. 7, n. 1, p. 127-138, jan./jun. 1999.
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Embrapa Trigo (CNPT) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Pecuária Sudeste. Para informações adicionais entre em contato com cppse.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Pecuária Sudeste. |
Data corrente: |
05/01/2015 |
Data da última atualização: |
28/03/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
GROSSI, D. do A.; BUZANSKAS, M. E.; GRUPIONI, N. V.; PAZ, C. C. P. de; REGITANO, L. C. de A.; ALENCAR, M. M. de; SCHENKEL, F. S.; MUNARI, S. P. |
Afiliação: |
DANIELA DO AMARAL GROSSI, UNIVERSITY OF GUELPH; MARCOS ELI BUZANSKAS, UNESP; NATALIA VINHAL GRUPIONI, UNESP; CLAUDIA CRISTINA PARO DE PAZ, APTA; LUCIANA CORREIA DE ALMEIDA REGITANO, CPPSE; MAURICIO MELLO DE ALENCAR, CPPSE; FLÁVIO SCHRAMM SCHENKEL; DANÍSIO PRADO MUNARI, UNESP. |
Título: |
Effect of IGF1, GH, and PIT1 markers on the genetic parameters of growth and reproduction traits in Canchim cattle. |
Ano de publicação: |
2014 |
Fonte/Imprenta: |
Molecular Biology Report, v. 42, n. 1, p. 245-251, jan. 2014. |
DOI: |
10.1007/s11033-014-3767-4 |
Idioma: |
Inglês |
Conteúdo: |
The availability of dense genomic information has increased genome-wide association studies for the bovine species; however research to assess the effect of single genes on production traits is still important to elucidate the genes functions. On this study the association of IGF1, GH, and PIT1 markers with growth and reproductive traits (birth weight, weaning weight, weight at 12 and 18 months of age, preweaning average daily weight gain, age and weight at first calving, and scrotal circumference at 12 and 18 months of age) were assessed by means of the variance component approach. The phenotypes were adjusted and then analyzed under two animal models, one which considered the polygenic and genotype (IGF1, GH or PIT1 markers) effects (Model 1), and the other which considers only the polygenic effect (Model 2). When the likelihood ratio test and the Bonferroni correction was applied at 5 % significance level, the genetic markers for the IGF1, GH, and PIT1 genes did not influence significantly the traits (p > 0.002). However, evidence of association of IGF1 with birth weight (p = 0.06) and GH with weight at first calving (p = 0.03) and with weight at 12 months of age (p = 0.08) was observed. In conclusion we could not confirm the associations between IGF1, GH, and PIT1 and growth traits that were previously reported in Canchim cattle, and no association was observed between these genes and reproductive traits. Future studies involving functional markers of IGF1, GH and PIT1 genes may help to clarify the role of these genes in growth and reproductive processes. MenosThe availability of dense genomic information has increased genome-wide association studies for the bovine species; however research to assess the effect of single genes on production traits is still important to elucidate the genes functions. On this study the association of IGF1, GH, and PIT1 markers with growth and reproductive traits (birth weight, weaning weight, weight at 12 and 18 months of age, preweaning average daily weight gain, age and weight at first calving, and scrotal circumference at 12 and 18 months of age) were assessed by means of the variance component approach. The phenotypes were adjusted and then analyzed under two animal models, one which considered the polygenic and genotype (IGF1, GH or PIT1 markers) effects (Model 1), and the other which considers only the polygenic effect (Model 2). When the likelihood ratio test and the Bonferroni correction was applied at 5 % significance level, the genetic markers for the IGF1, GH, and PIT1 genes did not influence significantly the traits (p > 0.002). However, evidence of association of IGF1 with birth weight (p = 0.06) and GH with weight at first calving (p = 0.03) and with weight at 12 months of age (p = 0.08) was observed. In conclusion we could not confirm the associations between IGF1, GH, and PIT1 and growth traits that were previously reported in Canchim cattle, and no association was observed between these genes and reproductive traits. Future studies involving functional markers of IGF1, GH and PIT1 g... Mostrar Tudo |
Palavras-Chave: |
GH; IGF1; PIT1 genes. |
Categoria do assunto: |
G Melhoramento Genético |
Marc: |
LEADER 02359naa a2200253 a 4500 001 2004283 005 2023-03-28 008 2014 bl uuuu u00u1 u #d 024 7 $a10.1007/s11033-014-3767-4$2DOI 100 1 $aGROSSI, D. do A. 245 $aEffect of IGF1, GH, and PIT1 markers on the genetic parameters of growth and reproduction traits in Canchim cattle.$h[electronic resource] 260 $c2014 520 $aThe availability of dense genomic information has increased genome-wide association studies for the bovine species; however research to assess the effect of single genes on production traits is still important to elucidate the genes functions. On this study the association of IGF1, GH, and PIT1 markers with growth and reproductive traits (birth weight, weaning weight, weight at 12 and 18 months of age, preweaning average daily weight gain, age and weight at first calving, and scrotal circumference at 12 and 18 months of age) were assessed by means of the variance component approach. The phenotypes were adjusted and then analyzed under two animal models, one which considered the polygenic and genotype (IGF1, GH or PIT1 markers) effects (Model 1), and the other which considers only the polygenic effect (Model 2). When the likelihood ratio test and the Bonferroni correction was applied at 5 % significance level, the genetic markers for the IGF1, GH, and PIT1 genes did not influence significantly the traits (p > 0.002). However, evidence of association of IGF1 with birth weight (p = 0.06) and GH with weight at first calving (p = 0.03) and with weight at 12 months of age (p = 0.08) was observed. In conclusion we could not confirm the associations between IGF1, GH, and PIT1 and growth traits that were previously reported in Canchim cattle, and no association was observed between these genes and reproductive traits. Future studies involving functional markers of IGF1, GH and PIT1 genes may help to clarify the role of these genes in growth and reproductive processes. 653 $aGH 653 $aIGF1 653 $aPIT1 genes 700 1 $aBUZANSKAS, M. E. 700 1 $aGRUPIONI, N. V. 700 1 $aPAZ, C. C. P. de 700 1 $aREGITANO, L. C. de A. 700 1 $aALENCAR, M. M. de 700 1 $aSCHENKEL, F. S. 700 1 $aMUNARI, S. P. 773 $tMolecular Biology Report$gv. 42, n. 1, p. 245-251, jan. 2014.
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