|
|
|
| Registros recuperados: 11 | |
|
| |
|
| |
|
| |
|
|
| LU, Y.; YAN, J.; GUIMARAES, C. T.; TABA, S.; HAO, Z.; GAO, S.; CHEN, S.; LI, J.; ZHANG, S.; VIVEK, B. S.; MAGOROKOSHO, C.; MUGO, S.; MAKUMBI, D.; PARENTONI, S. N.; SHAH, T.; RONG, T.; CROUCH, J. H.; XU, Y.. |
| Characterization of genetic diversity is of great value to assist breeders in parental line selection and breeding system design. We screened 770 maize inbred lines with 1,034 single nucleotide polymorphism (SNP) markers and identified 449 high-quality markers with no germplasm-specific biasing effects. Pairwise comparisons across three distinct sets of germplasm, CIMMYT (394), China (282), and Brazil (94), showed that the elite lines from these diverse breeding pools have been developed with only limited utilization of genetic diversity existing in the center of origin. Temperate and tropical/subtropical germplasm clearly clustered into two separate groups |
| Tipo: Artigo de periódico |
Palavras-chave: Milho; Zea mays; Melhoramento genético vegetal. |
| Ano: 2009 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/580235 |
| |
|
|
| CARVALHO, L. J. C. B.; AGUSTINI, M. A. V.; ANDERSON, J. V.; VIEIRA, E. A.; SOUZA, C. R. B. de; CHEN, S.; SCHAAL, B. A.; SILVA, J. P. da. |
| ABSTRACT: BACKGROUND: Cassava (Manihot esculenta Crantz) storage root provides a staple food source for millions of people worldwide. Increasing the carotenoid content in storage root of cassava could provide improved nutritional and health benefits. Because carotenoid accumulation has been associated with storage root color, this study characterized carotenoid profiles, and abundance of key transcripts associated with carotenoid biosynthesis, from 23 landraces of cassava storage root ranging in color from white-to-yellow-to-pink. This study provides important information to plant breeding programs aimed at improving cassava storage root nutritional quality. RESULTS: Among the 23 landraces, five carotenoid types were detected in storage root with white... |
| Tipo: Separatas |
Palavras-chave: Caretonóide; HPLC-DAD; Micromatrizes de DNA; QRT_PCR; Mandioca; Armazenamento; Cassava; Storage; Carotenoids; DNA microarrays. |
| Ano: 2016 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1051346 |
| |
|
| |
|
|
| CARVALHO, L. J. C. B.; ALMEIDA, J. D. de; ANDERSON, J. V.; VIEIRA, E. A.; CHEN, S.; SOUZA, C. R. B. de; FUHRMANN, E.; SILVA, J. P. da. |
| Carotenoid-Protein content in cassava storage root (CSR) is low but variable, and characterization of this variability is lacking. Accumulation of carotenoids occurs in chromoplast and depends on a broad class of proteins named carotenoid associated proteins (CAP), lipids and the biosynthesis of carotenoids. Twenty-nine landraces and progeny of 200 individuals were accessed for CAP and carotenoid content varied in two ways. First, related to landrace diversity, total buffer extractable proteins (TBEP), buffer insoluble proteins (BIP) and total carotenoid and ?-carotene content were assessed. Significant differences were observed in the tested genotypes. Secondly, analyses related to storage root tissue age were assessed by TBEP. This showed protein content... |
| Tipo: Separatas |
Palavras-chave: Manihot esculenta Crantz; Cassava. |
| Ano: 2013 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/980636 |
| |
|
| |
|
| |
|
|
| PASTORELLO, G.; TROTTA, C.; CANFORA, E.; CHU, H.; CHRISTIANSON, D.; CHEAH, Y.; POINDEXTER, C.; CHEN, J.; ELBASHANDY, A.; HUMPHREY, M.; ISAAC, P.; POLIDORI, D.; RIBECA, A.; VAN INGEN, C.; ZHANG, L.; AMIRO, B.; AMMANN, C.; ARAIN, M. A.; ARDÖ, J.; ARKEBAUER, T.; ARNDT, S. K.; ARRIGA, N.; AUBINET, M.; AURELA, M.; BALDOCCHI, D.; BARR, A.; BEAMESDERFER, E.; BELELLI, L. M.; BERGERON, O.; BERINGER, J.; BERNHOFER, C.; BERVEILLER, D.; BILLESBACH, D.; BLACK, T. A.; BLANKEN, P. D.; BOHRER, G.; BOIKE, J.; BOLSTAD, P. V.; BONAL, D.; BONNEFOND, J.; BOWLING, D. R.; ROSVEL, B.; BRODEUR, J.; BRÜMMER, C.; BUCHMANN, N.; BURBAN, B.; BURNS, S. P.; BUYSSE, P.; CALE, P.; CAVAGNA, M.; CELLIER, P.; CHEN, S.; CHINI, I.; CHRISTENSEN, T. R.; CLEVERLY, J.; COLLALTI, A.; CONSALVO, C.; COOK, B. D.; COOK, D.; COURSOLLE, C.; CREMONESE, E.; CURTIS, P. S.; D'ANDREA, E.; ROCHA, H. da; DAI, X.; DAVIS, K. J.; DE CINTI, B.; DE GRANDCOURT, A.; DE LIGNE, A.; OLIVEIRA JUNIOR, R. C. de; DELPIERRE, N.; DESAI, A. R.; DI BELLA, C. M.; DI TOMMASI, P.; DOLMAN, H.; DOMINGO, F.; DONG, G.; DORE, S.; DUCE, P.; DUFRÊNE, E.; DUNN, A.; DUSEK, J.; EAMUS, D.; EICHELMANN, U.; ELKHIDIR, H. A. M.; EUGSTER, W.; EWENZ, C. M.; EWERS, B.; FAMULARI, D.; FARES, S.; FEIGENWINTER, I.; FEITZ, A.; FENSHOLT, R.; FILIPPA, G.; FISCHER, M.; FRANK, J.; GALVAGNO, M.; GHARUN, M.; GIANELLE, D.; GIELEN, B.; GIOLI, B.; GITELSON, A.; GODED, I. B.; GOECKEDE, M.; GOLDSTEIN, A. H.; GOUGH, C. M.; GOULDEN, M. L.; GRAF, A.; GRIEBEL, A.; GRUENING, C.; GRÜNWALD, T.; HAMMERLE, A.; HAN, S.; HAN, X.; HANSEN, B. U.; HANSON, C.; HATAKKA, J.; HE, Y.; HEHN, M.; HEINESCH, B.; HINKO-NAJERA, N.; HÖRTNAGL, L.; HUTLEY, L.; IBROM, A.; IKAWA, H.; JACKOWICZ-KORCZYNSKI, M.; JANOUS, D.; JANS, W.; JASSAL, R.; JIANG, S.; KATO, T.; KHOMIK, M.; KLATT, J.; KNOHL, A.; KNOX, S.; KOBAYASHI, H.; KOERBER, G.; KOLLE, O.; KOSUGI, Y.; KOTANI, A.; KOWALSKI, A.; KRUIJT, B.; KURBATOVA, J.; KUTSCH, W. L.; KWON, H.; LAUNIAINEN, S.; LAURILA, T.; LAW, B.; LEUNING, R.; LI, Y.; LIDDELL, M.; LIMOUSIN, J.; LION, M.; LISKA, A.; LOHILA, A.; LÓPEZ-BALLESTEROS, A.; LÓPEZ-BLANCO, E.; LOUBET, B.; LOUSTAU, D.; LUCAS-MOFFAT, A.; LÜERS, J.; MA, S.; MACFARLANE, C.; MAGLIULO, V.; MAIER, R.; MAMMARELLA, I.; MANCA, G.; MARCOLLA, B.; MARGOLIS, H.; MARRAS, S.; MASSMAN, W.; MASTEPANOV, M.; MATAMALA, R.; MATTHES, J. H.; MAZZENGA, F.; MCCAUGHEY, H.; MCHUGH, I.; MCMILLAN, A. M. S.; MERBOLD, L.; MEYER, W.; MEYERS, T.; MILLER, S. D.; MINERBI, S.; MODEROW, U.; MONSON, R. K.; MONTAGNANI, L.; MOORE, C. E.; MOORS, E.; MOREAUX, V.; MOUREAUX, C.; MUNGER, J. W.; NAKAI, T.; NEIRYNCK, J.; NESIC, Z.; NICOLINI, G.; NOORMETS, A.; NORTHWOOD, M.; NOSETTO, M.; NOUVELLON, Y.; NOVICK, K.; WALTER, O.; OLESEN, J. E.; OURCIVAL, J.; PAPUGA, S. A.; PARMENTIER, F.; PAUL-LIMOGES, E.; PAVELKA, M.; PEICHL, M.; PENDALL, E.; PHILLIPS, R. P.; PILEGAARD, K.; PIRK, N.; POSSE, G.; POWELL, T.; PRASSE, H.; PROBER, S. M.; RAMBAL, S.; RANNIK, U.; RAZ-YASEEF, N.; REED, D.; RESCO DE DIOS, V.; RESTREPO-COUPE, N.; REVERTER, B. R.; ROLAND, M.; SABBATINI, S.; SACHS, T.; SALESKA, S. R.; SÁNCHEZ-CAÑETE, E. P.; SANCHEZ-MEJIA, Z. M.; SCHMID, H. P.; SCHMIDT, M.; SCHNEIDER, K.; SCHRADER, F.; SCHRODER, I.; SCOTT, R. L.; SEDLÁK, P.; SERRANO-ORTÍZ, P.; SHAO, C.; SHI, P.; SHIRONYA, I.; SIEBICKE, L.; SIGUT, L.; SILBERSTEIN, R.; SIRCA, C.; SPANO, D.; STEINBRECHER, R.; STEVENS, R. M.; STURTEVANT, C.; SUYKER, A.; TAGESSON, T.; TAKANASHI, S.; TANG, Y.; TAPPER, N.; THOM, J.; TIEDEMANN, F.; TOMASSUCCI, M.; TUOVINEN, J.; URBANSKI, S.; VALENTINI, R.; VAN DER MOLEN, M.; VAN GORSEL, E.; VAN HUISSTEDEN, K.; VARLAGIN, A.; VERFAILLIE, J.; VESALA, T.; VINCKE, C.; VITALE, D.; VYGODSKAYA, N.; WALKER, J. P.; WALTER-SHEA, E.; WANG, H.; WEBER, R.; WESTERMANN, S.; WILLE, C.; WOFSY, S.; WOHLFAHRT, G.; WOLF, S.; WOODGATE, W.; YUELIN, L.; ZAMPEDRI, R.; ZHANG, J.; ZHOU, G.; ZONA, D.; AGARWAL, D.; BIRAUD, S.; TORN, M.; PAPALE, D.. |
| The FLUXNET2015 dataset provides ecosystem-scale data on CO2, water, and energy exchange between the biosphere and the atmosphere, and other meteorological and biological measurements, from 212 sites around the globe (over 1500 site-years, up to and including year 2014). These sites, independently managed and operated, voluntarily contributed their data to create global datasets. Data were quality controlled and processed using uniform methods, to improve consistency and intercomparability across sites. The dataset is already being used in a number of applications, including ecophysiology studies, remote sensing studies, and development of ecosystem and Earth system models. FLUXNET2015 includes derived-data products, such as gap-filled time series,... |
| Tipo: Artigo de periódico |
Palavras-chave: FLUXNET2015; Biological measurements; Remote sensing studies; Ecosystem respiration and photosynthetic; Measurement device; Terrestrial biome; Sensoriamento Remoto; Carbon dioxide; Ecophysiology; Net ecosystem exchange; Water; Energy; Eddy covariance. |
| Ano: 2020 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1125053 |
| |
|
|
| MUSCARELLA, R.; EMILIO, T.; PHILLIPS, O. L.; LEWIS, S. L.; SLIK, F.; BAKER, W. J.; COUVREUR, T. L. P.; EISERHARDT, W. L.; SVENNING, J.-C.; AFFUM-BAFFOE, K.; AIBA, S.-I.; ALMEIDA, E. C. de; ALMEIDA, S. S. de; OLIVEIRA, E. A. de; ÁLVAREZ-DÁVILA, E.; ALVES, L. F.; ALVEZ-VALLES, C. M.; CARVALHO, F. A.; GUARIN, F. A.; ANDRADE, A.; ARAGÃO, L. E. O. C.; MURAKAMI, A. A.; ARROYO, L.; ASHTON, P. S.; CORREDOR, G. A. A.; BAKER, T. R.; CAMARGO, P. B. de; BARLOW, J.; BASTIN, J.-B.; BENGONE, N. N.; BERENGUER, E.; BERRY, N.; BLANC, L.; BÖHNING-GAESE, K.; BONAL, D.; BONGERS, F.; BRADFORD, M.; BRAMBACH, F.; BREARLEY, F. Q.; BREWER, S. W.; CAMARGO, J. L. C.; CAMPBELL, D. G.; CASTILHO, C. V. de; CASTRO, W.; CATCHPOLE, D.; CERÓN MARTÍNEZ, C. E.; CHEN, S.; CHHANG, P.; CHO, P.; CHUTIPONG, W.; CLARK, C.; COLLINS, M.; COMISKEY, J. A.; MEDINA, M. N. C.; COSTA, F. R. C.; CULMSEE, H.; DAVID-HIGUITA, H.; DAVIDAR, P.; AGUILA-PASQUEL, J. del; DERROITE, G.; Di FIORE, A.; DO, T. V.; DOUCET, J.-L.; DOURDAIN, A.; DRAKE, D. R.; ENSSLIN, A.; ERWIN, T.; EWANGO, C. E. N.; EWERS, R. M.; FAUSET, S.; FELDPAUSCH, T. R.; FERREIRA, J. N.; FERREIRA, L. V.; FISCHER, M.; FRANKLIN, J.; FREDRIKSSON, G. M.; GILLESPIE, T. W.; GILPIN, M.; GONMADJE, C.; GUNATILLEKE, A. U. N.; HAKEEM, K. R.; HALL, J. S.; HAMER, K. C.; HARRIS, D. J.; HARRISON, R. D.; HECTOR, A.; HEMP, A.; HERAULT, B.; PIZANGO, C. G. H.; CORONADO, E. N. H.; HUBAU, W.; HUSSAIN, M. S.; IBRAHIM, F.-H.; IMAI, N.; JOLY, C. A.; JOSEPH, S.; K. A.; KARTAWINATA, K.; KASSI, J.; KILEEN, T. J.; KITAYAMA, K.; KLITGARD, B. B.; KOOYMAN, R.; LABRIÈRE, N.; LARNEY, E.; LAUMONIER, Y.; LAURANCE, S. G.; LAURANCE, W. F.; LAWES, M. J.; LEVESLEY, A.; LISINGO, J.; LOVEJOY, T.; LOVETT, J. C.; LU, X.; LYKKE, A. M.; MAGNUSSON, W. E.; MAHAYANI, N. P. D.; MALHI, Y.; MANSOR, A.; PEÑA, J. L. M.; MARIMON-JUNIOR, B. H.; MARSHALL, A. R.; MELGACO, K.; BAUTISTA, C. M.; MIHINDOU, V.; MILLET, J.; MILLIKEN, W.; MOHANDASS, D.; MONTEAGUDO MENDOZA, A. L.; MUGERWA, B.; NAGAMASU, H.; NAGY, L.; SEUATURIEN, N.; NASCIMENTO, M. T.; NEILL, D. A.; MENINI NETO, L.; NILUS, R.; NÚÑEZ VARGAS, M. P.; NURTJA, E.; ARAÚJO, R. N. O. de; ONRIZAL, O.; PALACIOS, W. A.; PALACIOS-RAMOS, S.; PARREN, M.; PAUDEL, E.; MORANDI, P. S.; PENNINGTON, R. T.; PICKAVANCE, G.; PIPOLY III, J. J.; PITMAN, N. C. A.; POEDJIRAHAJOE, E.; POORTER, L.; POULSEN, J. R.; PRASAD, P. R. C.; PRIETO, A.; PUYRAVAUD, J.-P.; QIE, L.; QUESADA, C. A.; RAMÍREZ-ANGULO, H.; RAZAFIMAHAIMODISON, J. C.; REITSMA, J. M.; REQUENA-ROJAS, E. J.; CORREA, Z. R.; RODRIGUEZ, C. R.; ROOPSIND, A.; ROVERO, F.; ROZAK, A.; RUDAS LLERAS, A.; RUTISHAUSER, E.; RUTTEN, G.; PUNCHI-MANAGE, R.; SALOMÃO, R. P.; SAM, H. V.; SARKER, S. K.; SATDICHANH, M.; SCHIETTI, J.; SCHMITT, C. B.; MARIMON, B. S.; SENBETA, F.; SHARMA, L. N.; SHEIL, D.; SIERRA, R.; SILVA-ESPEJO, J. E.; SILVEIRA, M.; SONKÉ, B.; STEININGER, M. K.; STEINMETZ, R.; STÉVART, T.; SUKUMAR, R.; SULTANA, A.; SUNDERLAND, T. C. H.; SURESH, H. S.; TANG, J.; TANNER, E.; STEEGE, H. ter; TERBORGH, J. W.; THEILADE, I.; TIMBERLAKE, J.; TOORES-LEZAMA, A.; UMUNAY, P.; URIARTE, M.; GAMARRA, L. V.; BULT, M. van de; HOUT, P. van der; VASQUEZ MARTINEZ, R.; VIEIRA, I. C. G.; VIEIRA, S. A.; VILANOVA, E.; CAYO, J. V.; WANG, O.; WEBB, C. O.; WEBB, E. L.; WHITE, L.; WHITFELD, T. J. S.; WICH, S.; WILLCOCK, S.; WISER, S. K.; YOUNG, K. R.; ZAKARIA, R.; ZANG, R.; ZARTMAN, C. E.; ZO-BI, I. C.; BALSLEV, H.. |
| Aim: Palms are an iconic, diverse and often abundant component of tropical ecosys-tems that provide many ecosystem services. Being monocots, tree palms are evo-lutionarily, morphologically and physiologically distinct from other trees, and these differences have important consequences for ecosystem services (e.g., carbon se-questration and storage) and in terms of responses to climate change. We quanti-fied global patterns of tree palm relative abundance to help improve understanding of tropical forests and reduce uncertainty about these ecosystems under climate change.Location: Tropical and subtropical moist forests.Time period: Current.Major taxa studied: Palms (Arecaceae).Methods: We assembled a pantropical dataset of 2,548 forest plots (covering 1,191... |
| Tipo: Artigo de periódico |
Palavras-chave: Condições abióticas locais; Biomassa; Floresta Tropical; Densidade da Madeira; Biogeografia; Biomass; Arecaceae; Wood density. |
| Ano: 2020 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1124232 |
| |
| Registros recuperados: 11 | |
|
|
|
