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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Territorial. |
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Data corrente: |
29/04/2024 |
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Data da última atualização: |
29/04/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SILVA, C. DE O. F.; RODRIGUES, C. A. G.; GREGO, C. R.; QUARTAROLI, C. F. |
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Afiliação: |
CÉSAR DE OLIVEIRA FERREIRA SILVA, UNIVERSIDADE ESTADUAL DE CAMPINAS; CRISTINA APARECIDA GONCALVES RODRIG, CNPM; CELIA REGINA GREGO, CNPTIA; CARLOS FERNANDO QUARTAROLI, CNPM. |
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Título: |
Influence of the physical, chemical, and hydric attributes of soils and leaf area on degradation levels of cultivated pastures. |
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Ano de publicação: |
2024 |
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Fonte/Imprenta: |
Electronic Journal "Environmental Forum of Alta Paulista", v. 20, n. 2, p. 72-87, 2024. |
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ISSN: |
1980-0827 |
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DOI: |
https://doi.org/10.17271/1980082720220244108 |
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Idioma: |
Inglês |
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Conteúdo: |
Understanding the predominant factors that explain pasture degradation is crucial for developing reliable and feasible restoration plans. This article describes a multivariate analysis used for detecting correlation patterns between soil physicochemical attributes and leaf area in four different levels of degradation of cultivated pastures (without degradation, with low, medium, and high degradation) in the northwestern region of the state of São Paulo. Principal component analysis, exploratory statistics, and hierarchical cluster analysis dendrograms were produced for soil physicochemical attributes in the 0-0.10 m and 0.10-0.20 m depth layers. Water infiltration rate, phytomass, and leaf area were higher in the non-degraded pasture. The top layer showed more recognizable clusters between eigenvectors and degradation levels than the deeper layer. Chemical attributes (P, K, Ca, Mg, organic matter, sum of bases, and base saturation) were more explicative of the variability of degradation, while physical attributes such as granulometry and soil water parameters were less explicative. More effective actions to restore these pastures may prioritize the most explanatory parameters in the 0 to 0.10 m layer. This approach may be replicated for pasture restoration studies and monitoring plans, to indicate parameter prioritization and cost optimization. |
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Palavras-Chave: |
Análise multivariada; Compactação; Fitomassa. |
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Thesagro: |
Permeabilidade. |
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Thesaurus Nal: |
Multivariate analysis; Permeability; Phytomass; Soil compaction. |
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Categoria do assunto: |
--
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1163960/1/6224.pdf
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Marc: |
LEADER 02274naa a2200277 a 4500
001 2163960
005 2024-04-29
008 2024 bl uuuu u00u1 u #d
022 $a1980-0827
024 7 $ahttps://doi.org/10.17271/1980082720220244108$2DOI
100 1 $aSILVA, C. DE O. F.
245 $aInfluence of the physical, chemical, and hydric attributes of soils and leaf area on degradation levels of cultivated pastures.$h[electronic resource]
260 $c2024
520 $aUnderstanding the predominant factors that explain pasture degradation is crucial for developing reliable and feasible restoration plans. This article describes a multivariate analysis used for detecting correlation patterns between soil physicochemical attributes and leaf area in four different levels of degradation of cultivated pastures (without degradation, with low, medium, and high degradation) in the northwestern region of the state of São Paulo. Principal component analysis, exploratory statistics, and hierarchical cluster analysis dendrograms were produced for soil physicochemical attributes in the 0-0.10 m and 0.10-0.20 m depth layers. Water infiltration rate, phytomass, and leaf area were higher in the non-degraded pasture. The top layer showed more recognizable clusters between eigenvectors and degradation levels than the deeper layer. Chemical attributes (P, K, Ca, Mg, organic matter, sum of bases, and base saturation) were more explicative of the variability of degradation, while physical attributes such as granulometry and soil water parameters were less explicative. More effective actions to restore these pastures may prioritize the most explanatory parameters in the 0 to 0.10 m layer. This approach may be replicated for pasture restoration studies and monitoring plans, to indicate parameter prioritization and cost optimization.
650 $aMultivariate analysis
650 $aPermeability
650 $aPhytomass
650 $aSoil compaction
650 $aPermeabilidade
653 $aAnálise multivariada
653 $aCompactação
653 $aFitomassa
700 1 $aRODRIGUES, C. A. G.
700 1 $aGREGO, C. R.
700 1 $aQUARTAROLI, C. F.
773 $tElectronic Journal "Environmental Forum of Alta Paulista"$gv. 20, n. 2, p. 72-87, 2024.
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Registro original: |
Embrapa Territorial (CNPM) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Pecuária Sudeste. Para informações adicionais entre em contato com cppse.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Pecuária Sudeste. |
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Data corrente: |
16/12/2014 |
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Data da última atualização: |
29/03/2023 |
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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: |
ROFL, M. M.; DECKER, J. E.; McKAY, S. D.; TIZIOTO, P. C.; BRANHAM, K. A.; WHITACRE, L. K.; HOFF, J. L.; REGITANO, L. C. de A.; TAYLOR, J. F. |
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Afiliação: |
MEGAN M. ROLF, OKLAHOMA UNIVERSITY/STILLWATER; JARED E. DECKER, OKLAHOMA UNIVERSTY/ STILLWATER; STEPHANIE D. McKAY, UNIVERSTY OF VERMONT/BURLINGTON; POLYANA C. TIZIOTO, UFSCar/SÃO CARLOS, SP; KIMBERLY A. BRANHAM, OKLAHOMA UNIVERSTY/ STILLWATER; LYNSEY K. WHITACRE, UNIVERSTY OF MISSIURI/COLUMBIA; JESSE L. HOFF, UNIVERSITY OF MISSOURI/COLUMBIA; LUCIANA CORREIA DE ALMEIDA REGITANO, CPPSE; JEREMY F. TAYLOR, UNIVERSITY OF MISSOURI/COLUMBIA. |
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Título: |
Genomics in the United States beef industry. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Livestock Science, v.166, p. 84-93, aug. 2014. |
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DOI: |
https://doi.org/10.1016/j.livsci.2014.06.005 |
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Idioma: |
Inglês |
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Conteúdo: |
While genetic evaluation systems which combine performance records and pedigree data have been utilized n the beef industry forover four decades,the incorporation of genomic information into genetic evaluation, and the effective implementation of genomic tools with in the industry is relatively novel. Genomic technologies have been effectively deployed in the dairy, swine, and poultry industries;however, the beef industry possesses unique challenges for technology transfer. In this paper, we discuss the current limitations of genomic technologies and hindr0ances to the transfer of these technologies to the beef industry, while also considering opportunities for improved genomic and epigenomic tools needed to surmount barriers to technology adoption. |
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Palavras-Chave: |
Bovine; Genetic evaluation; Genomics selection. |
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Thesaurus NAL: |
beef cattle. |
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Categoria do assunto: |
G Melhoramento Genético |
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Marc: |
LEADER 01530naa a2200277 a 4500
001 2002780
005 2023-03-29
008 2014 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.livsci.2014.06.005$2DOI
100 1 $aROFL, M. M.
245 $aGenomics in the United States beef industry.$h[electronic resource]
260 $c2014
520 $aWhile genetic evaluation systems which combine performance records and pedigree data have been utilized n the beef industry forover four decades,the incorporation of genomic information into genetic evaluation, and the effective implementation of genomic tools with in the industry is relatively novel. Genomic technologies have been effectively deployed in the dairy, swine, and poultry industries;however, the beef industry possesses unique challenges for technology transfer. In this paper, we discuss the current limitations of genomic technologies and hindr0ances to the transfer of these technologies to the beef industry, while also considering opportunities for improved genomic and epigenomic tools needed to surmount barriers to technology adoption.
650 $abeef cattle
653 $aBovine
653 $aGenetic evaluation
653 $aGenomics selection
700 1 $aDECKER, J. E.
700 1 $aMcKAY, S. D.
700 1 $aTIZIOTO, P. C.
700 1 $aBRANHAM, K. A.
700 1 $aWHITACRE, L. K.
700 1 $aHOFF, J. L.
700 1 $aREGITANO, L. C. de A.
700 1 $aTAYLOR, J. F.
773 $tLivestock Science$gv.166, p. 84-93, aug. 2014.
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Registro original: |
Embrapa Pecuária Sudeste (CPPSE) |
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