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Registro Completo |
Biblioteca(s): |
Embrapa Pecuária Sudeste; Embrapa Unidades Centrais. |
Data corrente: |
19/06/2012 |
Data da última atualização: |
16/02/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
PEZZOPANE, J. R. M.; SANTOS, P. M.; MENDONÇA, F. C.; ARAÚJO, L. C. de; CRUZ, P. G. da. |
Afiliação: |
JOSE RICARDO MACEDO PEZZOPANE, CPPSE; PATRICIA MENEZES SANTOS, CPPSE; FERNANDO CAMPOS MENDONÇA, PROF. USP/ESALQ/PIRACICABA; LEANDRO COELHO DE ARAÚJO, DOUTORADO USP/ESALQ/PIRACICABA; PEDRO GOMES DA CRUZ, USP/ESALQ/PIRACICABA. |
Título: |
Dry matter production of Tanzania grass as a function of agrometeorological variables. |
Ano de publicação: |
2012 |
Fonte/Imprenta: |
Pesquisa Agropecuária Brasileira, v. 47, n. 4, p. 471-477, abr. 2012. |
DOI: |
http://dx.doi.org/10.1590/S0100-204X2012000400001 |
Idioma: |
Inglês Português |
Conteúdo: |
The objective of this work was to develop and validate linear regression models to estimate the production of dry matter by Tanzania grass (Megathyrsus maximus, cultivar Tanzania) as a function of agrometeorological variables. For this purpose, data on the growth of this forage grass from 2000 to 2005, under dry?field conditions in São Carlos, SP, Brazil, were correlated to the following climatic parameters: minimum and mean temperatures, degree?days, and potential and actual evapotranspiration. Simple linear regressions were performed between agrometeorological variables (independent) and the dry matter accumulation rate (dependent). The estimates were validated with independent data obtained in São Carlos and Piracicaba, SP, Brazil. The best statistical results in the development and validation of the models were obtained with the agrometeorological parameters that consider thermal and water availability effects together, such as actual evapotranspiration, accumulation of degree-days corrected by water availability, and the climatic growth index, based on average temperature, solar radiation, and water availability. These variables can be used in simulations and models to predict the production of Tanzania grass. |
Palavras-Chave: |
Climatic growth index; Degree days; Graus dia; Graus-dia; Índice climático de crescimento; Modelagem; Modeling. |
Thesagro: |
Evapotranspiração; Panicum maximum. |
Thesaurus Nal: |
Evapotranspiration; Heat sums; Megathyrsus maximus; Models. |
Categoria do assunto: |
-- F Plantas e Produtos de Origem Vegetal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/61130/1/PROCI-2012.00061.pdf
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Marc: |
LEADER 02228naa a2200337 a 4500 001 1926650 005 2023-02-16 008 2012 bl uuuu u00u1 u #d 024 7 $ahttp://dx.doi.org/10.1590/S0100-204X2012000400001$2DOI 100 1 $aPEZZOPANE, J. R. M. 245 $aDry matter production of Tanzania grass as a function of agrometeorological variables. 260 $c2012 520 $aThe objective of this work was to develop and validate linear regression models to estimate the production of dry matter by Tanzania grass (Megathyrsus maximus, cultivar Tanzania) as a function of agrometeorological variables. For this purpose, data on the growth of this forage grass from 2000 to 2005, under dry?field conditions in São Carlos, SP, Brazil, were correlated to the following climatic parameters: minimum and mean temperatures, degree?days, and potential and actual evapotranspiration. Simple linear regressions were performed between agrometeorological variables (independent) and the dry matter accumulation rate (dependent). The estimates were validated with independent data obtained in São Carlos and Piracicaba, SP, Brazil. The best statistical results in the development and validation of the models were obtained with the agrometeorological parameters that consider thermal and water availability effects together, such as actual evapotranspiration, accumulation of degree-days corrected by water availability, and the climatic growth index, based on average temperature, solar radiation, and water availability. These variables can be used in simulations and models to predict the production of Tanzania grass. 650 $aEvapotranspiration 650 $aHeat sums 650 $aMegathyrsus maximus 650 $aModels 650 $aEvapotranspiração 650 $aPanicum maximum 653 $aClimatic growth index 653 $aDegree days 653 $aGraus dia 653 $aGraus-dia 653 $aÍndice climático de crescimento 653 $aModelagem 653 $aModeling 700 1 $aSANTOS, P. M. 700 1 $aMENDONÇA, F. C. 700 1 $aARAÚJO, L. C. de 700 1 $aCRUZ, P. G. da 773 $tPesquisa Agropecuária Brasileira$gv. 47, n. 4, p. 471-477, abr. 2012.
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Registro original: |
Embrapa Pecuária Sudeste (CPPSE) |
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Registro Completo
Biblioteca(s): |
Embrapa Arroz e Feijão. |
Data corrente: |
12/02/2020 |
Data da última atualização: |
13/02/2020 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
Autoria: |
MELO, L. C.; SILVA, A. C. F.; PEREIRA, H. S.; MELO, P. G. S.; SOUZA, T. L. P. O. |
Afiliação: |
LEONARDO CUNHA MELO, CNPAF; A. C. F. SILVA, UNIVERSIDADE UNICERRADO, Goiatuba-GO; HELTON SANTOS PEREIRA, CNPAF; PATRICIA G. S. MELO, UFG; THIAGO LIVIO PESSOA OLIV DE SOUZA, CNPAF. |
Título: |
Genetic diversity as an additional selection criterion in a carioca common bean recurrent selection program for resistance to common bacterial blight. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
Genetics and Molecular Research, v. 18, n. 4, gmr18368, 2019. |
ISSN: |
1676-5680 |
DOI: |
10.4238/gmr18368 |
Idioma: |
Inglês |
Conteúdo: |
Common beans are a key source of protein and are consumed daily by most of the Brazilian population. More than 70% of what is consumed in this country is classified as carioca beans, based on seed qualities and appearance. We evaluated progenies of carioca common beans of the Brazilian agriculture research agency (Embrapa) recurrent selection program. This recurrent selection program is based on resistance to common bean bacterial blight (CBB), seed yield, and other important agronomic traits. Selection also considers the genetic representativeness of the parents and the genetic diversity among phenotypically selected progenies. Initially, 60 superior progenies were selected based on resistance to CBB and on seed type, in two locations (Santo Antônio de Goiás, GO and Ponta Grossa, PR). These progenies were evaluated in the C0S0:2 generation in field trials in six locations during the rainy growing season. A randomized block experimental design was used with two replications, in plots of two 3-m rows spaced at 0.5 m. The most promising C0S0:3 progenies for combined agronomic performance in the different environments were selected and were then evaluated by means of 24 microsatellite molecular markers for the purpose of determining the genetic representativeness of their parents and the genetic diversity among them. The phenotypic data was subjected to analysis of variance for each trait in each of the environments, and then joint analyses were performed. To estimate genetic diversity among the progenies, the Rogers-W genetic distance was used, and a dissimilarity matrix was used to construct a dendrogram of genetic distances through the UPGMA method. Among the 60 C0S0:2 progenies that were evaluated, those that stood out for resistance to CBB also stood out for seed yield and for resistance to other diseases. Various progenies were superior, exhibiting large genetic distances between each other and in relation to the parents. This indicates a possibility of direct and indirect gains from the recurrent selection program. This molecular information will help direct selection of individuals for future recombination cycles. MenosCommon beans are a key source of protein and are consumed daily by most of the Brazilian population. More than 70% of what is consumed in this country is classified as carioca beans, based on seed qualities and appearance. We evaluated progenies of carioca common beans of the Brazilian agriculture research agency (Embrapa) recurrent selection program. This recurrent selection program is based on resistance to common bean bacterial blight (CBB), seed yield, and other important agronomic traits. Selection also considers the genetic representativeness of the parents and the genetic diversity among phenotypically selected progenies. Initially, 60 superior progenies were selected based on resistance to CBB and on seed type, in two locations (Santo Antônio de Goiás, GO and Ponta Grossa, PR). These progenies were evaluated in the C0S0:2 generation in field trials in six locations during the rainy growing season. A randomized block experimental design was used with two replications, in plots of two 3-m rows spaced at 0.5 m. The most promising C0S0:3 progenies for combined agronomic performance in the different environments were selected and were then evaluated by means of 24 microsatellite molecular markers for the purpose of determining the genetic representativeness of their parents and the genetic diversity among them. The phenotypic data was subjected to analysis of variance for each trait in each of the environments, and then joint analyses were performed. To estimate genetic d... Mostrar Tudo |
Thesagro: |
Feijão; Marcador Molecular; Melhoramento Genético Vegetal; Phaseolus Vulgaris; Progênie; Resistência Genética; Seleção Recorrente. |
Thesaurus NAL: |
Beans; Disease resistance; Molecular genetics; Plant breeding; Progeny; Recurrent selection. |
Categoria do assunto: |
G Melhoramento Genético |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/210704/1/CNPAF-2019-gmr.pdf
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Marc: |
LEADER 03233naa a2200349 a 4500 001 2120204 005 2020-02-13 008 2019 bl uuuu u00u1 u #d 022 $a1676-5680 024 7 $a10.4238/gmr18368$2DOI 100 1 $aMELO, L. C. 245 $aGenetic diversity as an additional selection criterion in a carioca common bean recurrent selection program for resistance to common bacterial blight.$h[electronic resource] 260 $c2019 520 $aCommon beans are a key source of protein and are consumed daily by most of the Brazilian population. More than 70% of what is consumed in this country is classified as carioca beans, based on seed qualities and appearance. We evaluated progenies of carioca common beans of the Brazilian agriculture research agency (Embrapa) recurrent selection program. This recurrent selection program is based on resistance to common bean bacterial blight (CBB), seed yield, and other important agronomic traits. Selection also considers the genetic representativeness of the parents and the genetic diversity among phenotypically selected progenies. Initially, 60 superior progenies were selected based on resistance to CBB and on seed type, in two locations (Santo Antônio de Goiás, GO and Ponta Grossa, PR). These progenies were evaluated in the C0S0:2 generation in field trials in six locations during the rainy growing season. A randomized block experimental design was used with two replications, in plots of two 3-m rows spaced at 0.5 m. The most promising C0S0:3 progenies for combined agronomic performance in the different environments were selected and were then evaluated by means of 24 microsatellite molecular markers for the purpose of determining the genetic representativeness of their parents and the genetic diversity among them. The phenotypic data was subjected to analysis of variance for each trait in each of the environments, and then joint analyses were performed. To estimate genetic diversity among the progenies, the Rogers-W genetic distance was used, and a dissimilarity matrix was used to construct a dendrogram of genetic distances through the UPGMA method. Among the 60 C0S0:2 progenies that were evaluated, those that stood out for resistance to CBB also stood out for seed yield and for resistance to other diseases. Various progenies were superior, exhibiting large genetic distances between each other and in relation to the parents. This indicates a possibility of direct and indirect gains from the recurrent selection program. This molecular information will help direct selection of individuals for future recombination cycles. 650 $aBeans 650 $aDisease resistance 650 $aMolecular genetics 650 $aPlant breeding 650 $aProgeny 650 $aRecurrent selection 650 $aFeijão 650 $aMarcador Molecular 650 $aMelhoramento Genético Vegetal 650 $aPhaseolus Vulgaris 650 $aProgênie 650 $aResistência Genética 650 $aSeleção Recorrente 700 1 $aSILVA, A. C. F. 700 1 $aPEREIRA, H. S. 700 1 $aMELO, P. G. S. 700 1 $aSOUZA, T. L. P. O. 773 $tGenetics and Molecular Research$gv. 18, n. 4, gmr18368, 2019.
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Embrapa Arroz e Feijão (CNPAF) |
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