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Registro Completo |
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Biblioteca(s): |
Embrapa Amapá; Embrapa Amazônia Oriental; Embrapa Cerrados; Embrapa Gado de Leite; Embrapa Meio-Norte; Embrapa Rondônia; Embrapa Roraima; Embrapa Unidades Centrais. |
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Data corrente: |
15/05/2000 |
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Data da última atualização: |
08/06/2017 |
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Tipo da produção científica: |
Circular Técnica |
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Autoria: |
CAMARÃO, A. P.; TEIXEIRA NETO, J. F.; AZEVEDO, G. P. C. de; NERY, A. P. |
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Afiliação: |
ARI PINHEIRO CAMARÃO, CPATU; JOSE FERREIRA TEIXEIRA NETO, CPATU; GUILHERME PANTOJA CALANDRINI DE AZEVEDO, CPATU; ADALBERTO PINHEIRO NERY, CPATU. |
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Título: |
Avaliação de forrageiras em savanas mal drenadas da Ilha de Marajó. |
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Ano de publicação: |
1998 |
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Fonte/Imprenta: |
Belém, PA: Embrapa-CPATU, 1998. |
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Páginas: |
13 p. |
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Série: |
(Embrapa-CPATU. Circular técnica, 79). |
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Idioma: |
Português |
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Conteúdo: |
A literatura tem mostrado que através da introdução, avaliação e manejo, é possivel obter forrageiras que podem aumentar a quantidade e melhorar a qualidade da forragem fornecida aos animais. O objetivo deste trabalho e o de avaliar e selecionar especies forrageiras adaptaveis aos ecossistemas, de savanas mal drenadas da ilha de Marajó. |
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Palavras-Chave: |
Avaliacao de forrageiras; Brasil; Feed crops; Forrageira; Ilha de Marajo; Pará; Planta forrageira - Seleção - Brasil - Ilha do Marajó; Savana; Savanas. |
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Thesagro: |
Drenagem; Gramínea; Gramineae; Leguminosa; Leguminosae; Planta; Planta Forrageira; Seleção. |
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Thesaurus Nal: |
Amazonia; Brazil; savannas. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/34145/1/CPATU-CirTec79.pdf
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Marc: |
LEADER 01410nam a2200409 a 4500
001 1405498
005 2017-06-08
008 1998 bl uuuu u0uu1 u #d
100 1 $aCAMARÃO, A. P.
245 $aAvaliação de forrageiras em savanas mal drenadas da Ilha de Marajó.
260 $aBelém, PA: Embrapa-CPATU$c1998
300 $a13 p.
490 $a(Embrapa-CPATU. Circular técnica, 79).
520 $aA literatura tem mostrado que através da introdução, avaliação e manejo, é possivel obter forrageiras que podem aumentar a quantidade e melhorar a qualidade da forragem fornecida aos animais. O objetivo deste trabalho e o de avaliar e selecionar especies forrageiras adaptaveis aos ecossistemas, de savanas mal drenadas da ilha de Marajó.
650 $aAmazonia
650 $aBrazil
650 $asavannas
650 $aDrenagem
650 $aGramínea
650 $aGramineae
650 $aLeguminosa
650 $aLeguminosae
650 $aPlanta
650 $aPlanta Forrageira
650 $aSeleção
653 $aAvaliacao de forrageiras
653 $aBrasil
653 $aFeed crops
653 $aForrageira
653 $aIlha de Marajo
653 $aPará
653 $aPlanta forrageira - Seleção - Brasil - Ilha do Marajó
653 $aSavana
653 $aSavanas
700 1 $aTEIXEIRA NETO, J. F.
700 1 $aAZEVEDO, G. P. C. de
700 1 $aNERY, A. P.
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Registro original: |
Embrapa Amazônia Oriental (CPATU) |
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Registro Completo
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Biblioteca(s): |
Embrapa Agrossilvipastoril; Embrapa Milho e Sorgo. |
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Data corrente: |
28/11/2017 |
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Data da última atualização: |
09/03/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
BALDONI, A. B.; TONINI, H.; TARDIN, F. D.; BOTELHO, S. C. C.; TEODORO, P. E. |
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Afiliação: |
AISY BOTEGA BALDONI TARDIN, CPAMT; HELIO TONINI, CPPSUL; FLAVIO DESSAUNE TARDIN, CNPMS; SILVIA DE CARVALHO CAMPOS BOTELHO, CPAMT; Universidade Federal de Viçosa. |
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Título: |
Minimum number of measurements for evaluating Bertholletia excelsa. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Genetics and Molecular Research, Ribeirão Preto, v. 16, n. 3, p. 1-10, 2017. |
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DOI: |
10.4238/gmr16039783 |
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Idioma: |
Inglês |
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Notas: |
Artigo - gmr16039783. |
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Conteúdo: |
Repeatability studies on fruit species are of great importance to identify the minimum number of measurements necessary to accurately select superior genotypes. This study aimed to identify the most efficient method to estimate the repeatability coefficient (r) and predict the minimum number of measurements needed for a more accurate evaluation of Brazil nut tree (Bertholletia excelsa) genotypes based on fruit yield. For this, we assessed the number of fruits and dry mass of seeds of 75 Brazil nut genotypes, from native forest, located in the municipality of Itaúba, MT, for 5 years. To better estimate r, four procedures were used: analysis of variance (ANOVA), principal component analysis based on the correlation matrix (CPCOR), principal component analysis based on the phenotypic variance and covariance matrix (CPCOV), and structural analysis based on the correlation matrix (mean r - AECOR). There was a significant effect of genotypes and measurements, which reveals the need to study the minimum number of measurements for selecting superior Brazil nut genotypes for a production increase. Estimates of r by ANOVA were lower than those observed with the principal component methodology and close to AECOR. The CPCOV methodology provided the highest estimate of r,which resulted in a lower number of measurements needed to identify superior Brazil nut genotypes for the number of fruits and dry mass of seeds. Based on this methodology, three measurements are necessary to predict the true value of the Brazil nut genotypes with a minimum accuracy of 85%. MenosRepeatability studies on fruit species are of great importance to identify the minimum number of measurements necessary to accurately select superior genotypes. This study aimed to identify the most efficient method to estimate the repeatability coefficient (r) and predict the minimum number of measurements needed for a more accurate evaluation of Brazil nut tree (Bertholletia excelsa) genotypes based on fruit yield. For this, we assessed the number of fruits and dry mass of seeds of 75 Brazil nut genotypes, from native forest, located in the municipality of Itaúba, MT, for 5 years. To better estimate r, four procedures were used: analysis of variance (ANOVA), principal component analysis based on the correlation matrix (CPCOR), principal component analysis based on the phenotypic variance and covariance matrix (CPCOV), and structural analysis based on the correlation matrix (mean r - AECOR). There was a significant effect of genotypes and measurements, which reveals the need to study the minimum number of measurements for selecting superior Brazil nut genotypes for a production increase. Estimates of r by ANOVA were lower than those observed with the principal component methodology and close to AECOR. The CPCOV methodology provided the highest estimate of r,which resulted in a lower number of measurements needed to identify superior Brazil nut genotypes for the number of fruits and dry mass of seeds. Based on this methodology, three measurements are necessary to predict the... Mostrar Tudo |
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Palavras-Chave: |
Dry mass of seeds; Massa seca de semente; Number of fruits; Repetibilidade. |
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Thesagro: |
Bertholletia Excelsa; Castanha do Pará. |
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Thesaurus NAL: |
Brazil nuts; Repeatability. |
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Categoria do assunto: |
--
F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/167647/1/Minimum-number.pdf
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Marc: |
LEADER 02429naa a2200289 a 4500
001 2080879
005 2018-03-09
008 2017 bl uuuu u00u1 u #d
024 7 $a10.4238/gmr16039783$2DOI
100 1 $aBALDONI, A. B.
245 $aMinimum number of measurements for evaluating Bertholletia excelsa.$h[electronic resource]
260 $c2017
500 $aArtigo - gmr16039783.
520 $aRepeatability studies on fruit species are of great importance to identify the minimum number of measurements necessary to accurately select superior genotypes. This study aimed to identify the most efficient method to estimate the repeatability coefficient (r) and predict the minimum number of measurements needed for a more accurate evaluation of Brazil nut tree (Bertholletia excelsa) genotypes based on fruit yield. For this, we assessed the number of fruits and dry mass of seeds of 75 Brazil nut genotypes, from native forest, located in the municipality of Itaúba, MT, for 5 years. To better estimate r, four procedures were used: analysis of variance (ANOVA), principal component analysis based on the correlation matrix (CPCOR), principal component analysis based on the phenotypic variance and covariance matrix (CPCOV), and structural analysis based on the correlation matrix (mean r - AECOR). There was a significant effect of genotypes and measurements, which reveals the need to study the minimum number of measurements for selecting superior Brazil nut genotypes for a production increase. Estimates of r by ANOVA were lower than those observed with the principal component methodology and close to AECOR. The CPCOV methodology provided the highest estimate of r,which resulted in a lower number of measurements needed to identify superior Brazil nut genotypes for the number of fruits and dry mass of seeds. Based on this methodology, three measurements are necessary to predict the true value of the Brazil nut genotypes with a minimum accuracy of 85%.
650 $aBrazil nuts
650 $aRepeatability
650 $aBertholletia Excelsa
650 $aCastanha do Pará
653 $aDry mass of seeds
653 $aMassa seca de semente
653 $aNumber of fruits
653 $aRepetibilidade
700 1 $aTONINI, H.
700 1 $aTARDIN, F. D.
700 1 $aBOTELHO, S. C. C.
700 1 $aTEODORO, P. E.
773 $tGenetics and Molecular Research, Ribeirão Preto$gv. 16, n. 3, p. 1-10, 2017.
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Registro original: |
Embrapa Milho e Sorgo (CNPMS) |
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