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Registro Completo |
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
04/10/2011 |
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Data da última atualização: |
23/01/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
COBUCI, J. A.; COSTA, C. N.; BRACCINI NETO, J.; FREITAS, A. F. de. |
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Afiliação: |
JAIME ARAÚJO COBUCI, UFRGS / CNPq; CLAUDIO NAPOLIS COSTA, CNPGL; JOSÉ BRACCINI NETO, UFRGS.; ARY FERREIRA DE FREITAS, Pesquisador aposentado do CNPGL. |
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Título: |
Genetic parameters for milk production by using random regression models with different alternatives of fixed regression modeling. |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
Revista Brasileira de Zootecnia, v. 40, n. 3, p. 557-567, 2011. |
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DOI: |
https://doi.org/10.1590/S1516-35982011000300013 |
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Idioma: |
Inglês |
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Conteúdo: |
Records of test-day milk yields of the first three lactations of 25,500 Holstein cows were used to estimate genetic parameters for milk yield by using two alternatives of definition of fixed regression of the random regression models (RRM). Legendre polynomials of fourth and fifth orders were used to model regression of fixed curve (defined based on averages of the populations or multiple sub-populations formed by grouping animals which calved at the same age and in the same season of the year) or random lactation curves (additive genetic and permanent enviroment). Akaike information criterion (AIC) and Bayesian information criterion (BIC) indicated that the models which used multiple regression of fixed lactation curves of lactation multiple regression model with fixed lactation curves had the best fit for the first lactation test-day milk yields and the models which used a single regression of fixed curve had the best fit for the second and third lactations. Heritability for milk yield during lactation estimates did not vary among models but ranged from 0.22 to 0.34, from 0.11 to 0.21, and from 0.10 to 0.20, respectively, in the first three lactations. Similarly to heridability estimates of genetic correlations did not vary among models. The use of single or multiple fixed regressions for fixed lactation curves by RRM does not influence the estimates of genetic parameters for test-day milk yield across lactations. |
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Palavras-Chave: |
Legendre polynomial; Selection; Test-day milk yield. |
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Thesaurus Nal: |
genetic correlation; heritability. |
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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/54198/1/Genetic-parameters-for-milk.pdf
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Marc: |
LEADER 02208naa a2200229 a 4500
001 1902188
005 2023-01-23
008 2011 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1590/S1516-35982011000300013$2DOI
100 1 $aCOBUCI, J. A.
245 $aGenetic parameters for milk production by using random regression models with different alternatives of fixed regression modeling.$h[electronic resource]
260 $c2011
520 $aRecords of test-day milk yields of the first three lactations of 25,500 Holstein cows were used to estimate genetic parameters for milk yield by using two alternatives of definition of fixed regression of the random regression models (RRM). Legendre polynomials of fourth and fifth orders were used to model regression of fixed curve (defined based on averages of the populations or multiple sub-populations formed by grouping animals which calved at the same age and in the same season of the year) or random lactation curves (additive genetic and permanent enviroment). Akaike information criterion (AIC) and Bayesian information criterion (BIC) indicated that the models which used multiple regression of fixed lactation curves of lactation multiple regression model with fixed lactation curves had the best fit for the first lactation test-day milk yields and the models which used a single regression of fixed curve had the best fit for the second and third lactations. Heritability for milk yield during lactation estimates did not vary among models but ranged from 0.22 to 0.34, from 0.11 to 0.21, and from 0.10 to 0.20, respectively, in the first three lactations. Similarly to heridability estimates of genetic correlations did not vary among models. The use of single or multiple fixed regressions for fixed lactation curves by RRM does not influence the estimates of genetic parameters for test-day milk yield across lactations.
650 $agenetic correlation
650 $aheritability
653 $aLegendre polynomial
653 $aSelection
653 $aTest-day milk yield
700 1 $aCOSTA, C. N.
700 1 $aBRACCINI NETO, J.
700 1 $aFREITAS, A. F. de
773 $tRevista Brasileira de Zootecnia$gv. 40, n. 3, p. 557-567, 2011.
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Registro original: |
Embrapa Gado de Leite (CNPGL) |
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Registro Completo
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Biblioteca(s): |
Embrapa Amapá. |
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Data corrente: |
23/01/2020 |
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Data da última atualização: |
18/10/2022 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
GUEDES, M. C.; PASTANA, D.; MODENA, E. |
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Afiliação: |
MARCELINO CARNEIRO GUEDES, CPAF-AP; DAYANE PASTANA, CPAF-AP; ÉRICA MODENA, CPAF-AP. |
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Título: |
Dry of Brazil nut trees at Resex Cajari: new evidence that climate anomalies are affecting Amazonian biodiversity. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Pesquisa Florestal Brasileira, v. 39, e201902043, p. 47-48, 2019. |
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Idioma: |
Inglês |
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Notas: |
Edição especial dos resumos do IUFRO World Congress, 25., 2019, Curitiba. |
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Conteúdo: |
The Brazil nut (Bertholletia excelsa Bonp.) is among the largest trees in the Amazon. It has big canopy area, and is a deciduous species, indicating high water dependence. In order to investigate Brazil nut trees dry, after strong ?2015 el nino?, we evaluated occurrence and possible explanations of this drought, and relationships with climatic anomalies and nut production. We conduct semi-structured interviews with agroextractivists, and we analyzed leaves and soil near at 15 trees, with and without symptoms of dry. In the years 2015/2016, was registered the strongest El Niño in the Amazon, with an increase of more than 2 °C in the average temperature, reduction of precipitation and prolongation of the dry period. Probably, the water deficit and temperature stress caused the dry (burn) of the leaves and thin branches of the higher Brazil nut trees, observed in the Santa Rosa region, Resex Cajari-Amapá, Eastern Amazonia. The same did not occur in the young trees, in other species and in other regions. There was a drastic fall in fruit production in 2017, and negative correlation of the production with positive anomalies in the Pacific temperature, demonstrating that this species has sensitivity to climate change. Brazil nut trees can recover and sprout new leaves, but the next harvest is it impaired. The nutritional variables did not present significant relationships with trees dry. The hypothesis raised is that this may be related with hydraulic conductance problems, when occurs cavitation and loss of water molecules adhesion, after physiological stress in large trees. MenosThe Brazil nut (Bertholletia excelsa Bonp.) is among the largest trees in the Amazon. It has big canopy area, and is a deciduous species, indicating high water dependence. In order to investigate Brazil nut trees dry, after strong ?2015 el nino?, we evaluated occurrence and possible explanations of this drought, and relationships with climatic anomalies and nut production. We conduct semi-structured interviews with agroextractivists, and we analyzed leaves and soil near at 15 trees, with and without symptoms of dry. In the years 2015/2016, was registered the strongest El Niño in the Amazon, with an increase of more than 2 °C in the average temperature, reduction of precipitation and prolongation of the dry period. Probably, the water deficit and temperature stress caused the dry (burn) of the leaves and thin branches of the higher Brazil nut trees, observed in the Santa Rosa region, Resex Cajari-Amapá, Eastern Amazonia. The same did not occur in the young trees, in other species and in other regions. There was a drastic fall in fruit production in 2017, and negative correlation of the production with positive anomalies in the Pacific temperature, demonstrating that this species has sensitivity to climate change. Brazil nut trees can recover and sprout new leaves, but the next harvest is it impaired. The nutritional variables did not present significant relationships with trees dry. The hypothesis raised is that this may be related with hydraulic conductance problems, when oc... Mostrar Tudo |
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Thesagro: |
Castanha. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/209543/1/CPAF-AP-2019-Dry-of-Brazil-nut-at-Resex.pdf
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Marc: |
LEADER 02174nam a2200157 a 4500
001 2119293
005 2022-10-18
008 2019 bl uuuu u00u1 u #d
100 1 $aGUEDES, M. C.
245 $aDry of Brazil nut trees at Resex Cajari$bnew evidence that climate anomalies are affecting Amazonian biodiversity.$h[electronic resource]
260 $aPesquisa Florestal Brasileira, v. 39, e201902043, p. 47-48$c2019
500 $aEdição especial dos resumos do IUFRO World Congress, 25., 2019, Curitiba.
520 $aThe Brazil nut (Bertholletia excelsa Bonp.) is among the largest trees in the Amazon. It has big canopy area, and is a deciduous species, indicating high water dependence. In order to investigate Brazil nut trees dry, after strong ?2015 el nino?, we evaluated occurrence and possible explanations of this drought, and relationships with climatic anomalies and nut production. We conduct semi-structured interviews with agroextractivists, and we analyzed leaves and soil near at 15 trees, with and without symptoms of dry. In the years 2015/2016, was registered the strongest El Niño in the Amazon, with an increase of more than 2 °C in the average temperature, reduction of precipitation and prolongation of the dry period. Probably, the water deficit and temperature stress caused the dry (burn) of the leaves and thin branches of the higher Brazil nut trees, observed in the Santa Rosa region, Resex Cajari-Amapá, Eastern Amazonia. The same did not occur in the young trees, in other species and in other regions. There was a drastic fall in fruit production in 2017, and negative correlation of the production with positive anomalies in the Pacific temperature, demonstrating that this species has sensitivity to climate change. Brazil nut trees can recover and sprout new leaves, but the next harvest is it impaired. The nutritional variables did not present significant relationships with trees dry. The hypothesis raised is that this may be related with hydraulic conductance problems, when occurs cavitation and loss of water molecules adhesion, after physiological stress in large trees.
650 $aCastanha
700 1 $aPASTANA, D.
700 1 $aMODENA, E.
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Embrapa Amapá (CPAF-AP) |
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