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Registro Completo |
Biblioteca(s): |
Embrapa Café. |
Data corrente: |
16/07/2020 |
Data da última atualização: |
16/07/2020 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
RODRIGUES, W. N.; TOMAZ, M. A.; AMARAL, J. F. T. do; FERRAO, M. A. G.; COLODETTI, T. V.; CHRISTO, L. F. |
Afiliação: |
WAGNER NUNES RODRIGUES, UFES; MARCELO ANTONIO TOMAZ, UFES; JOSÉ FRANCISCO TEIXEIRA DO AMARAL, UFES; MARIA AMELIA GAVA FERRAO, CNPCa; TAFAREL VICTOR COLODETTI, UFES; LEONARDO FARDIM CHRISTO, UFES. |
Título: |
Biometrical studies on characteristics of plagiotropic branches in Coffea arabica L. cultivated with high plant density. |
Ano de publicação: |
2014 |
Fonte/Imprenta: |
Australian Journal of Crop Science, v. 8, n. 8, p. 1239-1247, 2014. |
Idioma: |
Português |
Conteúdo: |
The great demand for improvements in productivity lead to the search of new information regarding the behaviour of new cultivars of arabica coffee. Improved genotypes need be studied in specific regions to evaluate their potential, such as the exploration on mountains, aiming to define variables that can be exploited for the study and selection of genotypes in those conditions. This study aimed to evaluate the genetic diversity of genotypes of Coffea arabica L. with the potential for cultivation in increased-density systems in the region of Caparaó (state of Espírito Santo, Brazil), based on the characteristics of plagiotropic branches in production, to evaluate the existence of correlations and to estimate the relative contributions of each of the aforementioned characteristics to the diversity. To this end, 25 characteristics were determined in 16 genotypes of arabica coffee cultivated under competition of density (evaluated in 2013, with the stabilisation of their reproductive phenological cycle). These genotypes presented considerable diversity for almost all of the traits, being possible to separate seven groups of genotypes. Among the genotypes cultivated with high plant density, IAPAR 59 and Catiguá MG2 presented a greater degree of dissimilarity. Of the 25 traits, the number of fruits per branch and the biomass contributed more to the variability among the genotypes (over 95% of accumulated contribution). A total of 111 significant correlations were observed, with values over |0.60| in 78% of cases. Strong positive and negative correlations are observed between the various characteristics, revealing the possibility of the simultaneous selection of correlated traits. MenosThe great demand for improvements in productivity lead to the search of new information regarding the behaviour of new cultivars of arabica coffee. Improved genotypes need be studied in specific regions to evaluate their potential, such as the exploration on mountains, aiming to define variables that can be exploited for the study and selection of genotypes in those conditions. This study aimed to evaluate the genetic diversity of genotypes of Coffea arabica L. with the potential for cultivation in increased-density systems in the region of Caparaó (state of Espírito Santo, Brazil), based on the characteristics of plagiotropic branches in production, to evaluate the existence of correlations and to estimate the relative contributions of each of the aforementioned characteristics to the diversity. To this end, 25 characteristics were determined in 16 genotypes of arabica coffee cultivated under competition of density (evaluated in 2013, with the stabilisation of their reproductive phenological cycle). These genotypes presented considerable diversity for almost all of the traits, being possible to separate seven groups of genotypes. Among the genotypes cultivated with high plant density, IAPAR 59 and Catiguá MG2 presented a greater degree of dissimilarity. Of the 25 traits, the number of fruits per branch and the biomass contributed more to the variability among the genotypes (over 95% of accumulated contribution). A total of 111 significant correlations were observed, with va... Mostrar Tudo |
Thesagro: |
Análise; Coffea Arábica; Densidade de Plantio; Genótipo. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/214648/1/Biometrical-Australian-Journal-Wagner.pdf
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Marc: |
LEADER 02424naa a2200229 a 4500 001 2123884 005 2020-07-16 008 2014 bl uuuu u00u1 u #d 100 1 $aRODRIGUES, W. N. 245 $aBiometrical studies on characteristics of plagiotropic branches in Coffea arabica L. cultivated with high plant density.$h[electronic resource] 260 $c2014 520 $aThe great demand for improvements in productivity lead to the search of new information regarding the behaviour of new cultivars of arabica coffee. Improved genotypes need be studied in specific regions to evaluate their potential, such as the exploration on mountains, aiming to define variables that can be exploited for the study and selection of genotypes in those conditions. This study aimed to evaluate the genetic diversity of genotypes of Coffea arabica L. with the potential for cultivation in increased-density systems in the region of Caparaó (state of Espírito Santo, Brazil), based on the characteristics of plagiotropic branches in production, to evaluate the existence of correlations and to estimate the relative contributions of each of the aforementioned characteristics to the diversity. To this end, 25 characteristics were determined in 16 genotypes of arabica coffee cultivated under competition of density (evaluated in 2013, with the stabilisation of their reproductive phenological cycle). These genotypes presented considerable diversity for almost all of the traits, being possible to separate seven groups of genotypes. Among the genotypes cultivated with high plant density, IAPAR 59 and Catiguá MG2 presented a greater degree of dissimilarity. Of the 25 traits, the number of fruits per branch and the biomass contributed more to the variability among the genotypes (over 95% of accumulated contribution). A total of 111 significant correlations were observed, with values over |0.60| in 78% of cases. Strong positive and negative correlations are observed between the various characteristics, revealing the possibility of the simultaneous selection of correlated traits. 650 $aAnálise 650 $aCoffea Arábica 650 $aDensidade de Plantio 650 $aGenótipo 700 1 $aTOMAZ, M. A. 700 1 $aAMARAL, J. F. T. do 700 1 $aFERRAO, M. A. G. 700 1 $aCOLODETTI, T. V. 700 1 $aCHRISTO, L. F. 773 $tAustralian Journal of Crop Science$gv. 8, n. 8, p. 1239-1247, 2014.
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Registro original: |
Embrapa Café (CNPCa) |
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Registro Completo
Biblioteca(s): |
Embrapa Solos. |
Data corrente: |
14/09/2022 |
Data da última atualização: |
19/03/2024 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
DÍAZ-GUADARRAMA, S.; VARÓN-RAMÍREZ, V. M.; LIZARAZO, I.; GUEVARA, M.; ANGELINI, M.; ARAUJO-CARRILLO, G. A.; ARGEÑAL, J.; ARMAS, D.; BALTA, R. A.; BOLIVAR, A.; BUSTAMANTE, N.; DART, R. de O.; DELL AQUA, M.; ENCINA, A.; FIGUEREDO, H.; FONTES, F.; GUTIÉRREZ-DIAZ, J. S.; JIMÉNEZ, W.; LAVADO, R. S.; BACA, J. F. M.; MENDONÇA-SANTOS, M. de L.; MORETTI, L. M.; MUÑOZ, I. D.; OLIVERA, C.; OLMEDO, G.; OMUTO, C.; ORTIZ, S.; PASCALE, C.; PFEIFFER, M.; RAMOS, I. A.; RÍOS, D.; RIVERA, R.; RODRÍGUEZ, L. M.; RODRÍGUEZ, D. M.; ROSALES, A.; ROSALES, K.; SCHULZ, G.; SEVILLA, V.; TENTI, L. M.; VARGAS, R.; VASQUES, G. M.; YIGINI, Y.; RUBIANO, Y. |
Afiliação: |
SERGIO DÍAZ-GUADARRAMA, UNIVERSIDAD NACIONAL DE COLOMBIA; VIVIANA M. VARÓN-RAMÍREZ, UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO/CORPORACIÓN COLOMBIANA DE INVESTIGACIÓN AGROPECUARIA AGROSAVIA; IVÁN LIZARAZO, UNIVERSIDAD NACIONAL DE COLOMBIA; MARIO GUEVARA, UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO/UNIVERSITY OF CALIFORNIA/UNITED STATES DEPARTMENT OF AGRICULTURE; MARCOS ANGELINI, FAO; GUSTAVO A. ARAUJO-CARRILLO, CORPORACIÓN COLOMBIANA DE INVESTIGACIÓN AGROPECUARIA AGROSAVIA; JAINER ARGEÑAL, UNIVERSIDAD NACIONAL AUTÓNOMA DE HONDURAS; DAPHNE ARMAS, UNIVERSIDAD DE ALMERÍA; RAFAEL A. BALTA, MINISTERIO DE DESARROLLO AGRARIO Y RIEGO; ADRIANA BOLIVAR, INSTITUTO GEOGRÁFICO AGUSTÍN CODAZZI; NELSON BUSTAMANTE, SERVICIO AGRÍCOLA Y GANADERO; RICARDO DE OLIVEIRA DART, CNPS; MARTIN DELL AQUA, MINISTERIO DE GANADERÍA, AGRICULTURA Y PESCA; ARNULFO ENCINA, UNIVERSIDAD NACIONAL DE ASUNCIÓN; HERNÁN FIGUEREDO, SOCIEDAD BOLIVIANA DE LA CIENCIA DEL SUELO; FERNANDO FONTES, MINISTERIO DE GANADERÍA, AGRICULTURA Y PESCA; JOAN S. GUTIÉRREZ-DIAZ, AARHUS UNIVERSITY; WILMER JIMÉNEZ, MINISTERIO DE AGRICULTURA Y GANADERÍA; RAÚL S. LAVADO, UNIVERSIDAD DE BUENOS AIRES; JESUS FERNANDO MANSILLA BACA, CNPS; MARIA DE LOURDES MENDONÇA SANTOS BREFIN, CNPS; LUCAS M. MORETTI, INSTITUTO NACIONAL DE TECNOLOGÍA AGROPECUARIA; IVÁN D. MUÑOZ, INSTITUTO GEOGRÁFICO AGUSTÍN CODAZZI; CAROLINA OLIVERA, FAO; GUILLERMO OLMEDO, FAO; CHRISTIAN OMUTO, FAO; SOL ORTIZ, SECRETARÍA DE AGRICULTURA Y DESARROLLO RURAL; CARLA PASCALE, MINISTERIO DE AGRICULTURA, GANADERÍA Y PESCA; MARCO PFEIFFER, UNIVERSIDAD DE CHILE; IVÁN A. RAMOS, INSTITUTO DE INVESTIGACIÓN AGROPECUARIA DE PANAMÁ; DANNY RÍOS, UNIVERSIDAD NACIONAL DE ASUNCIÓN; RAFAEL RIVERA, MINISTERIO DE MEDIO AMBIENTE; LADY M. RODRÍGUEZ, INSTITUTO GEOGRÁFICO AGUSTÍN CODAZZI; DARÍO M. RODRÍGUEZ, INSTITUTO NACIONAL DE TECNOLOGÍA AGROPECUARIA; ALBÁN ROSALES, INSTITUTO DE INNOVACIÓN EN TRANSFERENCIA Y TECNOLOGÍA AGROPECUARIA; KENSET ROSALES, MINISTERIO DE AMBIENTE Y RECURSOS NATURALES; GUILLERMO SCHULZ, INSTITUTO NACIONAL DE TECNOLOGÍA AGROPECUARIA; VICTOR SEVILLA, UNIVERSIDAD CENTRAL DE VENEZUELA; LEONARDO M. TENTI, INSTITUTO NACIONAL DE TECNOLOGÍA AGROPECUARIA; RONALD VARGAS, FAO; GUSTAVO DE MATTOS VASQUES, CNPS; YUSUF YIGINI, FAO; YOLANDA RUBIANO, UNIVERSIDAD NACIONAL DE COLOMBIA. |
Título: |
Improving the Latin America and Caribbean Soil Information System (SISLAC) database enhances its usability and scalability |
Ano de publicação: |
2024 |
Fonte/Imprenta: |
Earth System Science Data, v. 16, n. 3, p. 1229-1246, 2024. |
DOI: |
https://doi.org/10.5194/essd-16-1229-2024 |
Idioma: |
Inglês |
Conteúdo: |
Spatial soil databases can help model complex phenomena in which soils are a decisive factor – for example, evaluating agricultural potential or estimating carbon storage capacity. The Latin America and Caribbean Soil Information System, SISLAC, is a regional initiative promoted by the Food and Agriculture Organization’s (FAO) Latin America and the Caribbean Soil Partnership to contribute to sustainable management of soil. SISLAC includes data from 49 084 soil profiles distributed unevenly across the continent, making it the region’s largest soil database. In addition, there are other soil databases in the region with about 40 000 soil profiles that can be integrated into SISLAC and improve it. However, some problems hinder its usages, such as the quality of the data and their high dimensionality. The objective of this research is evaluate the quality of the SISLAC data and the other available soil databases to generate a new improved version that meets the minimum quality requirements to be used for different purposes or practical applications. The results show that 15 % of the existing soil profiles had an inaccurate description of the diagnostic horizons and 17 % of the additional profiles already existed in SISLAC; therefore, a total of 32 % of profiles were excluded for these two reasons. Further correction of an additional 4.5 % of existing inconsistencies improved overall data quality. The improved database consists of 66 746 profiles and is available for public use at https://doi.org/10.5281/zenodo.7876731 (Díaz-Guadarrama and Guevara, 2023). This revised version of SISLAC data offers the opportunity to generate information that helps decision-making on issues in which soils are a decisive factor. It can also be used to plan future soil surveys in areas with low density or where updated information is required. MenosSpatial soil databases can help model complex phenomena in which soils are a decisive factor – for example, evaluating agricultural potential or estimating carbon storage capacity. The Latin America and Caribbean Soil Information System, SISLAC, is a regional initiative promoted by the Food and Agriculture Organization’s (FAO) Latin America and the Caribbean Soil Partnership to contribute to sustainable management of soil. SISLAC includes data from 49 084 soil profiles distributed unevenly across the continent, making it the region’s largest soil database. In addition, there are other soil databases in the region with about 40 000 soil profiles that can be integrated into SISLAC and improve it. However, some problems hinder its usages, such as the quality of the data and their high dimensionality. The objective of this research is evaluate the quality of the SISLAC data and the other available soil databases to generate a new improved version that meets the minimum quality requirements to be used for different purposes or practical applications. The results show that 15 % of the existing soil profiles had an inaccurate description of the diagnostic horizons and 17 % of the additional profiles already existed in SISLAC; therefore, a total of 32 % of profiles were excluded for these two reasons. Further correction of an additional 4.5 % of existing inconsistencies improved overall data quality. The improved database consists of 66 746 profiles and is available for public use a... Mostrar Tudo |
Palavras-Chave: |
Carbono orgânico do solo; Digital soil mapping; Mapeamento digital do solo; SISLAC. |
Thesagro: |
Sistema de Informação; Solo. |
Thesaurus NAL: |
Information systems; Soil organic carbon. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1146420/1/Improving-the-Latin-America-and-Caribbean-Soil-Information-System-2024.pdf
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Marc: |
LEADER 03885naa a2200733 a 4500 001 2146420 005 2024-03-19 008 2024 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.5194/essd-16-1229-2024$2DOI 100 1 $aDÍAZ-GUADARRAMA, S. 245 $aImproving the Latin America and Caribbean Soil Information System (SISLAC) database enhances its usability and scalability$h[electronic resource] 260 $c2024 520 $aSpatial soil databases can help model complex phenomena in which soils are a decisive factor – for example, evaluating agricultural potential or estimating carbon storage capacity. The Latin America and Caribbean Soil Information System, SISLAC, is a regional initiative promoted by the Food and Agriculture Organization’s (FAO) Latin America and the Caribbean Soil Partnership to contribute to sustainable management of soil. SISLAC includes data from 49 084 soil profiles distributed unevenly across the continent, making it the region’s largest soil database. In addition, there are other soil databases in the region with about 40 000 soil profiles that can be integrated into SISLAC and improve it. However, some problems hinder its usages, such as the quality of the data and their high dimensionality. The objective of this research is evaluate the quality of the SISLAC data and the other available soil databases to generate a new improved version that meets the minimum quality requirements to be used for different purposes or practical applications. The results show that 15 % of the existing soil profiles had an inaccurate description of the diagnostic horizons and 17 % of the additional profiles already existed in SISLAC; therefore, a total of 32 % of profiles were excluded for these two reasons. Further correction of an additional 4.5 % of existing inconsistencies improved overall data quality. The improved database consists of 66 746 profiles and is available for public use at https://doi.org/10.5281/zenodo.7876731 (Díaz-Guadarrama and Guevara, 2023). This revised version of SISLAC data offers the opportunity to generate information that helps decision-making on issues in which soils are a decisive factor. It can also be used to plan future soil surveys in areas with low density or where updated information is required. 650 $aInformation systems 650 $aSoil organic carbon 650 $aSistema de Informação 650 $aSolo 653 $aCarbono orgânico do solo 653 $aDigital soil mapping 653 $aMapeamento digital do solo 653 $aSISLAC 700 1 $aVARÓN-RAMÍREZ, V. M. 700 1 $aLIZARAZO, I. 700 1 $aGUEVARA, M. 700 1 $aANGELINI, M. 700 1 $aARAUJO-CARRILLO, G. A. 700 1 $aARGEÑAL, J. 700 1 $aARMAS, D. 700 1 $aBALTA, R. A. 700 1 $aBOLIVAR, A. 700 1 $aBUSTAMANTE, N. 700 1 $aDART, R. de O. 700 1 $aDELL AQUA, M. 700 1 $aENCINA, A. 700 1 $aFIGUEREDO, H. 700 1 $aFONTES, F. 700 1 $aGUTIÉRREZ-DIAZ, J. S. 700 1 $aJIMÉNEZ, W. 700 1 $aLAVADO, R. S. 700 1 $aBACA, J. F. M. 700 1 $aMENDONÇA-SANTOS, M. de L. 700 1 $aMORETTI, L. M. 700 1 $aMUÑOZ, I. D. 700 1 $aOLIVERA, C. 700 1 $aOLMEDO, G. 700 1 $aOMUTO, C. 700 1 $aORTIZ, S. 700 1 $aPASCALE, C. 700 1 $aPFEIFFER, M. 700 1 $aRAMOS, I. A. 700 1 $aRÍOS, D. 700 1 $aRIVERA, R. 700 1 $aRODRÍGUEZ, L. M. 700 1 $aRODRÍGUEZ, D. M. 700 1 $aROSALES, A. 700 1 $aROSALES, K. 700 1 $aSCHULZ, G. 700 1 $aSEVILLA, V. 700 1 $aTENTI, L. M. 700 1 $aVARGAS, R. 700 1 $aVASQUES, G. M. 700 1 $aYIGINI, Y. 700 1 $aRUBIANO, Y. 773 $tEarth System Science Data$gv. 16, n. 3, p. 1229-1246, 2024.
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