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Biblioteca(s):  Embrapa Roraima.
Data corrente:  15/09/2021
Data da última atualização:  15/09/2021
Tipo da produção científica:  Artigo em Periódico Indexado
Autoria:  McMANUS, C.; PAIVA, S. R.; CAETANO, A. R.; HERMUCHE, P.; GUIMARÃES, R. F.; CARVALHO JUNIOR, O. A.; BRAGA, R. M.; CARNEIRO, P. L. S.; MORAES, J. C. F.; SOUZA, C. J. H. de; FACO, O.; SANTOS, S. A.; AZEVEDO, H. C.; ARAUJO, A. M. de; FAÇANHA, D. A. E.; IANELLA, P.
Afiliação:  CONCEPTA MCMANUS, Universidade de Brasília (UnB) - Brasília, DF, Brazil; SAMUEL REZENDE PAIVA, Cenargen; ALEXANDRE RODRIGUES CAETANO, Cenargen; POTIRA HERMUCHE, Universidade de Brasília (UnB) - Brasília, DF, Brazil; RENATO FONTES GUIMARÃES, Universidade de Brasília (UnB) - Brasília, DF, Brazil; OSMAR ABILIO CARVALHO JUNIOR, Universidade de Brasília (UnB) - Brasília, DF, Brazil; RAMAYANA MENEZES BRAGA, CPAF-RR; PAULO LUIZ SOUZA CARNEIRO, Universidade Estadual Do Sudoeste da Bahia (UESB) - Vitória da Conquista - BA, Brazil; JOSE CARLOS FERRUGEM MORAES, CPPSUL; CARLOS JOSE HOFF DE SOUZA; OLIVARDO FACO, CNPC; SANDRA APARECIDA SANTOS; HYMERSON COSTA AZEVEDO, CPATC; ADRIANA MELLO DE ARAUJO, CPAMN; DEBORA ANDRÉA E. FAÇANHA, Federal Rural University of the Semi-arid Region (UFERSA) - Mossoró, RN, Brazil; PATRICIA IANELLA, Cenargen.
Título:  Landscape genetics of sheep in Brazil using SNP markers.
Ano de publicação:  2020
Fonte/Imprenta:  Small Ruminant Research, v. 192, e106239, 2020.
DOI:  https://doi.org/10.1016/j.smallrumres.2020.106239
Idioma:  Inglês
Conteúdo:  Abstract: The aim of this study was to explore spatial patterns of genetic structure in sheep breeds sampled in Brazil using Single Nucleotide Polymorphisms (SNPs) in order to evaluate whether or not the genetic and geographic dis-tances are interrelated in this species. Samples genotyped using the 50KSheepSNPChip (Illumina) included 215 animals from eight different sheep breeds. All collection sites were georeferenced and data analyzed to determine geographic patterns from genetic data. To evaluate the correlation between genetic and geographic distances Mantel tests, Allelic Aggregation Index Analyses (AAIA), and spatial autocorrelation were performed. Genetic Landscape Shape procedure and Monmonier?s Algorithm were used to generate graphical visualization of the genetic distances across the landscape. The observed correlation observed between genetic and geographical distances was 0.552 (P <0.00099). Observed AAIA results (Rave =0.16, P <0.001) indicated a non-random distribution of genotypes across the landscape. High genetic differentiation was observed in the Southern re-gions of Brazil, separating wool and hair sheep. Low genetic distances were observed between flocks and breeds from north and center-west regions, and may be the result of unrecorded introgressions resulting from past unknown crossbreeding events. Observed Spatial Autocorrelation Analyses results indicate a minimum distance of 400 km should be used between collection sites to maximize genetic variabili... Mostrar Tudo
Palavras-Chave:  Delaunay triangulation; Genetic landscape shape; Mantel.
Thesaurus Nal:  Brazil; Genetic polymorphism; Germplasm conservation; Sampling; Sheep; Sheep breeds; Single nucleotide polymorphism.
Categoria do assunto:  G Melhoramento Genético
Marc:  Mostrar Marc Completo
Registro original:  Embrapa Roraima (CPAF-RR)
Biblioteca ID Origem Tipo/Formato Classificação Cutter Registro Volume Status URL
CPAF-RR16179 - 1UPCAP - DD
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Biblioteca(s):  Embrapa Suínos e Aves.
Data corrente:  16/05/2018
Data da última atualização:  16/05/2018
Tipo da produção científica:  Artigo em Periódico Indexado
Circulação/Nível:  A - 1
Autoria:  RAUBER, L. P.; ANDRADE, A. P.; FRIEDERICHS, A.; MAFRA, A. L.; BARETTA, D.; ROSA, M. G. da; MAFRA, M. S. H.; CORREA, J. C.
Afiliação:  LUIZ PAULO RAUBER, UDESC/Lages; ANDRÉIA PATRÍCIA ANDRADE, UDESC/Lages; AUGUSTO FRIEDERICHS, UDESC/Lages; ÁLVARO LUIZ MAFRA, UDESC/Lages; DILMAR BARETTA, UDESC/Chapecó; MÁRCIO GONÇALVES DA ROSA, UDESC/Lages; MARIA SUELI HEBERLE MAFRA, UDESC/Lages; JULIANO CORULLI CORREA, CNPSA.
Título:  Soil physical indicators of management systems in traditional agricultural areas under manure application.
Ano de publicação:  2018
Fonte/Imprenta:  Scientia Agricola, v. 75, n. 4, p. 354-359, 2018.
DOI:  10.1590/1678-992x-2016-0453
Idioma:  Inglês
Conteúdo:  Abstract: Studies of the successive application of manure as fertilizer and its combined effect with long-term soil management systems are important to the identification of the interdependence of physical attributes. The aim of this study was to evaluate changes in the physical properties of a Rhodic Kandiudox under management systems employing successive applications of pig slurry and poultry litter, and select physical indicators that distinguish these systems using canonical discriminant analysis (CDA). The systems consisting of treatments including land use, management and the application time of organic fertilizers are described as follows: silage maize under no-tillage (NT-M7 years); silage maize under conventional tillage (CT-M20 years); annual pasture with chisel plowing (CP-P3 years); annual pasture with chisel plowing (CP-P15 years); perennial pasture without tillage (NT-PP20 years); and no-tillage yerba mate (NT-YM20 years) and were compared with native forest (NF) and native pasture (NP). Soil samples were collected from the layers at the following depths: 0.0-0.05, 0.05-0.10, and 0.10-0.20 m, and were analyzed for bulk density, porosity, aggregation, flocculation, penetration resistance, water availability and total clay content. Canonical discriminant analysis was an important tool in the study of physical indicators of soil quality. Organic fertilization, along with soil management, influences soil structure and its porosity. Total porosity was the most impor... Mostrar Tudo
Palavras-Chave:  Crop system.
Thesagro:  Adubo Orgânico; Colheita; Esterco; Manejo do Solo; Melhoramento do Solo.
Thesaurus NAL:  Animal manure management; Fertilizer application; Harvesting; Organic fertilizers; Soil management; Soil quality.
Categoria do assunto:  --
URL:  https://ainfo.cnptia.embrapa.br/digital/bitstream/item/177018/1/final8858.pdf
Marc:  Mostrar Marc Completo
Registro original:  Embrapa Suínos e Aves (CNPSA)
Biblioteca ID Origem Tipo/Formato Classificação Cutter Registro Volume Status
CNPSA21353 - 1UPCAP - DD
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