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 | Acesso ao texto completo restrito à biblioteca da Embrapa Mandioca e Fruticultura. Para informações adicionais entre em contato com cnpmf.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Mandioca e Fruticultura. |
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Data corrente: |
28/09/2012 |
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Data da última atualização: |
18/05/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
AMORIM, E. P.; SILVA, P. H. da; FERREIRA, C. F.; AMORIM, V. B. O.; SANTOS, V. J.; VILARINHOS, A. D.; SANTOS, C. M. R.; SOUZA JUNIOR, M. T.; MILLER, R. N. G. |
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Afiliação: |
EDSON PERITO AMORIM, CNPMF; PAULO HENRIQUE DA SILVA, UFLA; CLAUDIA FORTES FERREIRA, CNPMF; VANUSIA BATISTA OLIVEIRA AMORIM, CNPMF; VANIA JESUS SANTOS, UFRB; ALBERTO DUARTE VILARINHOS, CNPMF; CANDICE MELLO ROMERO SANTOS, CENARGEN; MANOEL TEIXEIRA SOUZA JUNIOR, CNPAE; ROBERT NEIL GERARD MILLER, UNB. |
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Título: |
New microsatellite markers for bananas (Musa spp). |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
Genetics and Molecular Research, v. 11, n. 2, p. 1093-1098, 2012. |
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Idioma: |
Português |
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Conteúdo: |
Thirty-four microsatellite markers (SSRs) were identified in EST and BAC clones from Musa acuminata burmannicoides var. Calcutta 4 and validated in 22 Musa genotypes from the Banana Germplasm Bank of Embrapa-CNPMF, which includes wild and improved diploids. The number of alleles per locus ranged from 2 to 14. The markers were considered highly informative based on their polymorphism information content values; more than 50% were above 0.5. These SSRs will be useful for banana breeding programs, for studies of genetic diversity, germplasm characterization and selection, development of saturated genetic linkage maps, and marker assisted selection. |
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Palavras-Chave: |
Genetic breeding; Microsatellites; Musa spp; Primer validation. |
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Thesagro: |
Banana. |
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Categoria do assunto: |
G Melhoramento Genético |
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Marc: |
LEADER 01425naa a2200277 a 4500
001 1934970
005 2023-05-18
008 2012 bl uuuu u00u1 u #d
100 1 $aAMORIM, E. P.
245 $aNew microsatellite markers for bananas (Musa spp).$h[electronic resource]
260 $c2012
520 $aThirty-four microsatellite markers (SSRs) were identified in EST and BAC clones from Musa acuminata burmannicoides var. Calcutta 4 and validated in 22 Musa genotypes from the Banana Germplasm Bank of Embrapa-CNPMF, which includes wild and improved diploids. The number of alleles per locus ranged from 2 to 14. The markers were considered highly informative based on their polymorphism information content values; more than 50% were above 0.5. These SSRs will be useful for banana breeding programs, for studies of genetic diversity, germplasm characterization and selection, development of saturated genetic linkage maps, and marker assisted selection.
650 $aBanana
653 $aGenetic breeding
653 $aMicrosatellites
653 $aMusa spp
653 $aPrimer validation
700 1 $aSILVA, P. H. da
700 1 $aFERREIRA, C. F.
700 1 $aAMORIM, V. B. O.
700 1 $aSANTOS, V. J.
700 1 $aVILARINHOS, A. D.
700 1 $aSANTOS, C. M. R.
700 1 $aSOUZA JUNIOR, M. T.
700 1 $aMILLER, R. N. G.
773 $tGenetics and Molecular Research$gv. 11, n. 2, p. 1093-1098, 2012.
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Embrapa Mandioca e Fruticultura (CNPMF) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Semiárido. Para informações adicionais entre em contato com cpatsa.biblioteca@embrapa.br. |
Registro Completo
|
Biblioteca(s): |
Embrapa Semiárido. |
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Data corrente: |
24/01/2013 |
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Data da última atualização: |
24/05/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 3 |
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Autoria: |
TEIXEIRA, A. H. de C.; WARREN, M. S.; HERNANDEZ, F. B. T.; LOPES, H. L. |
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Afiliação: |
ANTONIO HERIBERTO DE C TEIXEIRA, CPATSA; MORRIS SHERER WARREN; FERNANDO B. T. HERNANDEZ; HÉLIO L. LOPES. |
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Título: |
Water productivity assessment by using MODIS images and agrometeorological data in the Petrolina municipality, Brazil. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
Proceedings of SPIE - Remote Sensing for Agriculture, Ecosystems and Hrydrology, v. 8531, sept. 2012. |
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DOI: |
10.1117/12.974376 |
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Idioma: |
Inglês |
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Conteúdo: |
The municipality of Petrolina, located in the semi-arid region of Brazil, is highlighted as an important agricultural growing region, however the irrigated areas have cleared natural vegetation inducing a loss of biodiversity. To analyze the contrast between these two ecosystems the large scale values of biomass production (BIO), evapotranspiration (ET) and water productivity (WP) were quantified. Monteith´s equation was applied for estimating the absorbed photosynthetically active radiation (APAR), while the new SAFER (Simple Algorithm For Evapotranspiration Retrieving) algorithm was used to retrieve ET. The water productivity (WP) was analysed by the ratio of BIO by ET at monthly time scale with four bands of MODIS satellite images together with agrometeorological data for the year of 2011. The period with the highest water productivity values were from March to April in the rainy period for both irrigated and not irrigated conditions. However the largest ET rates were in November for irrigated crops and April for natural vegetation. More uniformity of the vegetation and water variables occurs in natural vegetation, evidenced by the lower values of standard deviation when comparing to irrigated crops, due to the different crop stages, cultural and irrigation managements. The models applied with MODIS satellite images on a large scale are considered to be suitable for water productivity assessments and for quantifying the effects of increasing irrigated areas over natural vegetation on regional water consumption in situations of quick changing land use pattern. MenosThe municipality of Petrolina, located in the semi-arid region of Brazil, is highlighted as an important agricultural growing region, however the irrigated areas have cleared natural vegetation inducing a loss of biodiversity. To analyze the contrast between these two ecosystems the large scale values of biomass production (BIO), evapotranspiration (ET) and water productivity (WP) were quantified. Monteith´s equation was applied for estimating the absorbed photosynthetically active radiation (APAR), while the new SAFER (Simple Algorithm For Evapotranspiration Retrieving) algorithm was used to retrieve ET. The water productivity (WP) was analysed by the ratio of BIO by ET at monthly time scale with four bands of MODIS satellite images together with agrometeorological data for the year of 2011. The period with the highest water productivity values were from March to April in the rainy period for both irrigated and not irrigated conditions. However the largest ET rates were in November for irrigated crops and April for natural vegetation. More uniformity of the vegetation and water variables occurs in natural vegetation, evidenced by the lower values of standard deviation when comparing to irrigated crops, due to the different crop stages, cultural and irrigation managements. The models applied with MODIS satellite images on a large scale are considered to be suitable for water productivity assessments and for quantifying the effects of increasing irrigated areas over natural v... Mostrar Tudo |
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Palavras-Chave: |
Albedo; Biomassa de superfície; NDVI; Ttemperatura da superfície. |
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Thesagro: |
Evapotranspiração. |
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Thesaurus NAL: |
Evapotranspiration. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02396naa a2200241 a 4500
001 1946208
005 2017-05-24
008 2012 bl uuuu u00u1 u #d
024 7 $a10.1117/12.974376$2DOI
100 1 $aTEIXEIRA, A. H. de C.
245 $aWater productivity assessment by using MODIS images and agrometeorological data in the Petrolina municipality, Brazil.$h[electronic resource]
260 $c2012
520 $aThe municipality of Petrolina, located in the semi-arid region of Brazil, is highlighted as an important agricultural growing region, however the irrigated areas have cleared natural vegetation inducing a loss of biodiversity. To analyze the contrast between these two ecosystems the large scale values of biomass production (BIO), evapotranspiration (ET) and water productivity (WP) were quantified. Monteith´s equation was applied for estimating the absorbed photosynthetically active radiation (APAR), while the new SAFER (Simple Algorithm For Evapotranspiration Retrieving) algorithm was used to retrieve ET. The water productivity (WP) was analysed by the ratio of BIO by ET at monthly time scale with four bands of MODIS satellite images together with agrometeorological data for the year of 2011. The period with the highest water productivity values were from March to April in the rainy period for both irrigated and not irrigated conditions. However the largest ET rates were in November for irrigated crops and April for natural vegetation. More uniformity of the vegetation and water variables occurs in natural vegetation, evidenced by the lower values of standard deviation when comparing to irrigated crops, due to the different crop stages, cultural and irrigation managements. The models applied with MODIS satellite images on a large scale are considered to be suitable for water productivity assessments and for quantifying the effects of increasing irrigated areas over natural vegetation on regional water consumption in situations of quick changing land use pattern.
650 $aEvapotranspiration
650 $aEvapotranspiração
653 $aAlbedo
653 $aBiomassa de superfície
653 $aNDVI
653 $aTtemperatura da superfície
700 1 $aWARREN, M. S.
700 1 $aHERNANDEZ, F. B. T.
700 1 $aLOPES, H. L.
773 $tProceedings of SPIE - Remote Sensing for Agriculture, Ecosystems and Hrydrology$gv. 8531, sept. 2012.
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