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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Pecuária Sudeste. |
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Data corrente: |
26/07/2022 |
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Data da última atualização: |
05/08/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SANTOS, M. L. dos; SANTOS, P. M.; BOOTE, K. J.; PEQUENO, D. N. L.; BARIONI, L. G.; CUADRA, S. V.; HOOGENBOOM, G. |
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Afiliação: |
MARIELY LOPES DOS SANTOS, ESALQ/USP, University of Florida; PATRICIA MENEZES SANTOS, CPPSE; KENNETH JAY BOOTE, UNIVERSITY OF FLORIDA; DIEGO NOLETO LUZ PEQUENO, INTERNATIONAL MAIZE AND WHEAT IMPROVEMENT CENTER; LUIS GUSTAVO BARIONI, CNPTIA; SANTIAGO VIANNA CUADRA, CNPTIA; GERRIT HOOGENBOOM, University of Florida. |
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Título: |
Applying the CROPGRO Perennial Forage Model for long-term estimates of Marandu palisadegrass production in livestock management scenarios in Brazil. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Field Crops Research, v. 286, 108629, Oct. 2022. |
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Páginas: |
16 p. |
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DOI: |
https://doi.org/10.1016/j.fcr.2022.108629 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract. The use of long-term forage production simulation is important to studies of strategic scenarios, yield-gap predictions and production risk analysis. However, forage models have only been tested using short period data. Therefore, this study aimed to apply the CROPGRO Perennial Forage Model (CROPGRO-PFM), a mechanistic model from Decision Support System for Agrotechnology Transfer (DSSAT) platform, to simulate long-term forage production of Marandu palisadegrass {Urochloa brizantha (Hochst. ex A. Rich.) R.D. Webster [syn. Brachiaria brizantha (Hochst. ex A. Rich.) Stapf]} in different locations of Central Brazil, under different fertilization levels. We chose nine locations distributed in Amazon, Cerrado, and Atlantic Forest Biomes to simulate Marandu palisadegrass production over 36 years (1980?2016). The simulations were carried out using prior calibrations for DSSAT?s CROPGRO-PFM and, as a reference point of growth and herbage simulation, model results were initially contrasted against an agrometeorological model, the Integrated Agrometeorological Model (IAM), to check the consistency between these two different models. Then the CROPGRO-PFM was applied to simulated scenarios represented three beef cattle livestock production systems: (1) Potential production water-not-limiting and highly fertilized, (2) rainfed with high N fertilization, and (3) rainfed with low N maintenance fertilization. In general, the long-term simulations of annual forage production and seasonality were similar for the CROPGRO-PFM and IAM models. As expected for the Central Brazil region, historical averages of monthly herbage accumulation rate of potential yield scenarios were relatively constant throughout the year, declining in the winter period for most locations due to mild temperature reduction and decline of solar radiation. In general, rainfed scenarios simulations showed a seasonal cycle following the rainfall pattern, with reduction in growth rates in the dry season. During the winter season climate is the major limiting growth factor, simulated growth rates were low and similar regardless of N fertilization. Although the CROPGRO-PFM presented consistent results for long term grazing systems, further model changes, calibration, and validations are recommended to improve the process-based model as well as the knowledge about these systems. MenosAbstract. The use of long-term forage production simulation is important to studies of strategic scenarios, yield-gap predictions and production risk analysis. However, forage models have only been tested using short period data. Therefore, this study aimed to apply the CROPGRO Perennial Forage Model (CROPGRO-PFM), a mechanistic model from Decision Support System for Agrotechnology Transfer (DSSAT) platform, to simulate long-term forage production of Marandu palisadegrass {Urochloa brizantha (Hochst. ex A. Rich.) R.D. Webster [syn. Brachiaria brizantha (Hochst. ex A. Rich.) Stapf]} in different locations of Central Brazil, under different fertilization levels. We chose nine locations distributed in Amazon, Cerrado, and Atlantic Forest Biomes to simulate Marandu palisadegrass production over 36 years (1980?2016). The simulations were carried out using prior calibrations for DSSAT?s CROPGRO-PFM and, as a reference point of growth and herbage simulation, model results were initially contrasted against an agrometeorological model, the Integrated Agrometeorological Model (IAM), to check the consistency between these two different models. Then the CROPGRO-PFM was applied to simulated scenarios represented three beef cattle livestock production systems: (1) Potential production water-not-limiting and highly fertilized, (2) rainfed with high N fertilization, and (3) rainfed with low N maintenance fertilization. In general, the long-term simulations of annual forage production and se... Mostrar Tudo |
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Palavras-Chave: |
Growth; Herbage production; Modelagem; Produção de ervas; Simulação de produção de forragem. |
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Thesagro: |
Crescimento; Gado de Corte; Modelo de Simulação; Simulação. |
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Thesaurus Nal: |
Beef cattle; Models; Simulation models; Urochloa brizantha. |
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Categoria do assunto: |
--
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 03510naa a2200373 a 4500
001 2145272
005 2022-08-05
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.fcr.2022.108629$2DOI
100 1 $aSANTOS, M. L. dos
245 $aApplying the CROPGRO Perennial Forage Model for long-term estimates of Marandu palisadegrass production in livestock management scenarios in Brazil.$h[electronic resource]
260 $c2022
300 $a16 p.
520 $aAbstract. The use of long-term forage production simulation is important to studies of strategic scenarios, yield-gap predictions and production risk analysis. However, forage models have only been tested using short period data. Therefore, this study aimed to apply the CROPGRO Perennial Forage Model (CROPGRO-PFM), a mechanistic model from Decision Support System for Agrotechnology Transfer (DSSAT) platform, to simulate long-term forage production of Marandu palisadegrass {Urochloa brizantha (Hochst. ex A. Rich.) R.D. Webster [syn. Brachiaria brizantha (Hochst. ex A. Rich.) Stapf]} in different locations of Central Brazil, under different fertilization levels. We chose nine locations distributed in Amazon, Cerrado, and Atlantic Forest Biomes to simulate Marandu palisadegrass production over 36 years (1980?2016). The simulations were carried out using prior calibrations for DSSAT?s CROPGRO-PFM and, as a reference point of growth and herbage simulation, model results were initially contrasted against an agrometeorological model, the Integrated Agrometeorological Model (IAM), to check the consistency between these two different models. Then the CROPGRO-PFM was applied to simulated scenarios represented three beef cattle livestock production systems: (1) Potential production water-not-limiting and highly fertilized, (2) rainfed with high N fertilization, and (3) rainfed with low N maintenance fertilization. In general, the long-term simulations of annual forage production and seasonality were similar for the CROPGRO-PFM and IAM models. As expected for the Central Brazil region, historical averages of monthly herbage accumulation rate of potential yield scenarios were relatively constant throughout the year, declining in the winter period for most locations due to mild temperature reduction and decline of solar radiation. In general, rainfed scenarios simulations showed a seasonal cycle following the rainfall pattern, with reduction in growth rates in the dry season. During the winter season climate is the major limiting growth factor, simulated growth rates were low and similar regardless of N fertilization. Although the CROPGRO-PFM presented consistent results for long term grazing systems, further model changes, calibration, and validations are recommended to improve the process-based model as well as the knowledge about these systems.
650 $aBeef cattle
650 $aModels
650 $aSimulation models
650 $aUrochloa brizantha
650 $aCrescimento
650 $aGado de Corte
650 $aModelo de Simulação
650 $aSimulação
653 $aGrowth
653 $aHerbage production
653 $aModelagem
653 $aProdução de ervas
653 $aSimulação de produção de forragem
700 1 $aSANTOS, P. M.
700 1 $aBOOTE, K. J.
700 1 $aPEQUENO, D. N. L.
700 1 $aBARIONI, L. G.
700 1 $aCUADRA, S. V.
700 1 $aHOOGENBOOM, G.
773 $tField Crops Research$gv. 286, 108629, Oct. 2022.
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Embrapa Pecuária Sudeste (CPPSE) |
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Registro Completo
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Biblioteca(s): |
Embrapa Trigo. |
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Data corrente: |
08/07/2020 |
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Data da última atualização: |
08/07/2020 |
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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: |
Mellers, G.; Aguilera, J. G.; Bird, N.; BONATO, A. L. V.; BONOW, S.; CAIERAO, E.; CONSOLI, L.; SANTANA, F. M.; Simmonds, J.; Steed, A.; TORRES, G. A. M.; Uauy, C.; Wright, T. I. C.; SCHEEREN, P. L.; Nicholson, P.; Cockram, J. |
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Afiliação: |
Greg Mellers, *The John Bingham Laboratory, NIAB, 93 Lawrence Weaver Road, Cambridge, CB3 0LE, United Kingdom; Jorge González Aguilera, John Innes Centre, Norwich Research Park, Norwich, NR4 7UH, United Kingdom; Nick Bird, The John Bingham Laboratory, NIAB, 93 Lawrence Weaver Road, Cambridge, CB3 0LE, United Kingdom; ANA LIDIA VARIANI BONATO, CNPT; SANDRO BONOW, CPACT; EDUARDO CAIERAO, CNPT; LUCIANO CONSOLI, CNPT; FLAVIO MARTINS SANTANA, CNPT; James Simmonds, John Innes Centre, Norwich Research Park, Norwich, NR4 7UH, United Kingdom; Andrew Steed, John Innes Centre, Norwich Research Park, Norwich, NR4 7UH, United Kingdom; GISELE ABIGAIL MONTAN TORRES, CNPT; Cristobal Uauy, ‡John Innes Centre, Norwich Research Park, Norwich, NR4 7UH, United Kingdom; Tally I. C. Wright, The John Bingham Laboratory, NIAB, 93 Lawrence Weaver Road, Cambridge, CB3 0LE, United Kingdom,†; PEDRO LUIZ SCHEEREN, CNPT; Paul Nicholson, John Innes Centre, Norwich Research Park, Norwich, NR4 7UH, United Kingdom; James Cockram, The John Bingham Laboratory, NIAB, 93 Lawrence Weaver Road, Cambridge, CB3 0LE, United Kingdom. |
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Título: |
Genetic characterization of a wheat association mapping panel relevant to brazilian breeding using a high-density single nucleotide polymorphism array. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
G3: Genes, Genomes, Genetics, v. 10, p. 2229-2239, July 2020 |
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Idioma: |
Inglês |
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Conteúdo: |
ABSTRACT Bread wheat (Triticum aestivum L.) is one of the world?s most important crops. Maintaining wheat yield gains across all of its major production areas is a key target toward underpinning global food security. Brazil is a major wheat producer in South America, generating grain yields of around 6.8 million tons per year. Here, we establish and genotype a wheat association mapping resource relevant to contemporary Brazilian wheat breeding programs. The panel of 558 wheat accessions was genotyped using an Illumina iSelect 90,000 single nucleotide polymorphism array. Following quality control, the final data matrix consisted of 470 accessions and 22,475 polymorphic genetic markers (minor allele frequency $5%, missing data ,5%). Principal component analysis identified distinct differences between materials bred predominantly for the northern Cerrado region, compared to those bred for southern Brazilian agricultural areas. We augmented the genotypic data with 26 functional Kompetitive Allele-Specific PCR (KASP) markers to identify the allelic combinations at genes with previously known effects on agronomically important traits in the panel. This highlighted breeding targets for immediate consideration ? notably, increased Fusarium head blight resistance via the Fhb1 locus. To demonstrate the panel?s likely future utility, genome-wide association scans for several phenotypic traits were undertaken. Significant (Bonferroni corrected P , 0.05) marker-trait associations were detected for Fusarium kernel damage (a proxy for type 2 Fusarium resistance), identifying previously known quantitative trait loci in the panel. This association mapping panel represents an important resource for Brazilian wheat breeding, allowing future genetic studies to analyze multiple agronomic traits within a single genetically diverse population. MenosABSTRACT Bread wheat (Triticum aestivum L.) is one of the world?s most important crops. Maintaining wheat yield gains across all of its major production areas is a key target toward underpinning global food security. Brazil is a major wheat producer in South America, generating grain yields of around 6.8 million tons per year. Here, we establish and genotype a wheat association mapping resource relevant to contemporary Brazilian wheat breeding programs. The panel of 558 wheat accessions was genotyped using an Illumina iSelect 90,000 single nucleotide polymorphism array. Following quality control, the final data matrix consisted of 470 accessions and 22,475 polymorphic genetic markers (minor allele frequency $5%, missing data ,5%). Principal component analysis identified distinct differences between materials bred predominantly for the northern Cerrado region, compared to those bred for southern Brazilian agricultural areas. We augmented the genotypic data with 26 functional Kompetitive Allele-Specific PCR (KASP) markers to identify the allelic combinations at genes with previously known effects on agronomically important traits in the panel. This highlighted breeding targets for immediate consideration ? notably, increased Fusarium head blight resistance via the Fhb1 locus. To demonstrate the panel?s likely future utility, genome-wide association scans for several phenotypic traits were undertaken. Significant (Bonferroni corrected P , 0.05) marker-trait associations were de... Mostrar Tudo |
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Palavras-Chave: |
Brazilian Breeding; Fusarium head blight (FHB); Genetic Characterization; Genetic diversity; Genome-wide association scan (GWAS); Genotyping quantitative trait locus (QTL); Polyploid crop; Single nucleotide polymorphism (SNP); Single Nucleotide Polymorphism Array. |
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Thesaurus NAL: |
Breeding; Wheat. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/214507/1/Paper-G3.pdf
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Marc: |
LEADER 03194naa a2200433 a 4500
001 2123752
005 2020-07-08
008 2020 bl uuuu u00u1 u #d
100 1 $aMellers, G.
245 $aGenetic characterization of a wheat association mapping panel relevant to brazilian breeding using a high-density single nucleotide polymorphism array.$h[electronic resource]
260 $c2020
520 $aABSTRACT Bread wheat (Triticum aestivum L.) is one of the world?s most important crops. Maintaining wheat yield gains across all of its major production areas is a key target toward underpinning global food security. Brazil is a major wheat producer in South America, generating grain yields of around 6.8 million tons per year. Here, we establish and genotype a wheat association mapping resource relevant to contemporary Brazilian wheat breeding programs. The panel of 558 wheat accessions was genotyped using an Illumina iSelect 90,000 single nucleotide polymorphism array. Following quality control, the final data matrix consisted of 470 accessions and 22,475 polymorphic genetic markers (minor allele frequency $5%, missing data ,5%). Principal component analysis identified distinct differences between materials bred predominantly for the northern Cerrado region, compared to those bred for southern Brazilian agricultural areas. We augmented the genotypic data with 26 functional Kompetitive Allele-Specific PCR (KASP) markers to identify the allelic combinations at genes with previously known effects on agronomically important traits in the panel. This highlighted breeding targets for immediate consideration ? notably, increased Fusarium head blight resistance via the Fhb1 locus. To demonstrate the panel?s likely future utility, genome-wide association scans for several phenotypic traits were undertaken. Significant (Bonferroni corrected P , 0.05) marker-trait associations were detected for Fusarium kernel damage (a proxy for type 2 Fusarium resistance), identifying previously known quantitative trait loci in the panel. This association mapping panel represents an important resource for Brazilian wheat breeding, allowing future genetic studies to analyze multiple agronomic traits within a single genetically diverse population.
650 $aBreeding
650 $aWheat
653 $aBrazilian Breeding
653 $aFusarium head blight (FHB)
653 $aGenetic Characterization
653 $aGenetic diversity
653 $aGenome-wide association scan (GWAS)
653 $aGenotyping quantitative trait locus (QTL)
653 $aPolyploid crop
653 $aSingle nucleotide polymorphism (SNP)
653 $aSingle Nucleotide Polymorphism Array
700 1 $aAguilera, J. G.
700 1 $aBird, N.
700 1 $aBONATO, A. L. V.
700 1 $aBONOW, S.
700 1 $aCAIERAO, E.
700 1 $aCONSOLI, L.
700 1 $aSANTANA, F. M.
700 1 $aSimmonds, J.
700 1 $aSteed, A.
700 1 $aTORRES, G. A. M.
700 1 $aUauy, C.
700 1 $aWright, T. I. C.
700 1 $aSCHEEREN, P. L.
700 1 $aNicholson, P.
700 1 $aCockram, J.
773 $tG3: Genes, Genomes, Genetics$gv. 10, p. 2229-2239, July 2020
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