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Registro Completo |
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
29/09/2015 |
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Data da última atualização: |
22/03/2016 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
ANTOLIN, L. A. S.; COSTA NETO, G. M. F.; BORGES, M. G.; HEINEMANN, A. B. |
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Afiliação: |
LUIS ALBERTO S. ANTOLIN, graduando UFG; GERMANO MARTINS F. COSTA NETO, mestrando UFG; M. G. BORGES; ALEXANDRE BRYAN HEINEMANN, CNPAF. |
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Título: |
Irrigation efficiency simulation for common bean during dry season, in the municipality of Goiânia, Goiás. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
In: INOVAGRI INTERNATIONAL MEETING, 3., 2015, Fortaleza. Anais... Fortaleza: INI, 2015. |
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DOI: |
10.12702/iii.inovagri.2015-a217 |
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Idioma: |
Inglês |
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Conteúdo: |
Goiás State is considered the major common beans producer in the autumn/winter season. In this season, the common beans production is fully irrigated by Center Pivot. However, due to the water scarcity water, the water dispute among human consumption, power generation, industries and agriculture is increasing. Then, it is important to optimize their consumption in the agriculture. Crop models are excellent tools for that and were used in this study to simulate the irrigation efficiency during the winter season for two cultivars, Pérola and BRS Radiante. Five planting dates from April to August and five irrigation amounts (10, 15, 20, 25 and 30 mm) applied when the soil water content reaches 50% of field capacity (CC) were considered. For cultivar Pérola, longer cycle, the best irrigation efficiency was obtained at the end of planting season, in the month of August, for the fixed irrigation amounts of 20 and 25 mm respectively. In the other hand, for the short cycle cultivar, BRS Radiante, the best irrigation efficiency was obtained only at the begin of planting date season, April. |
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Palavras-Chave: |
CROPGRO. |
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Thesagro: |
Evapotranspiração; Feijão; Irrigação; Modelo de simulação; Phaseolus vulgaris; Seca. |
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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/130445/1/Inovagri.pdf
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Marc: |
LEADER 01860nam a2200241 a 4500
001 2025281
005 2016-03-22
008 2015 bl uuuu u00u1 u #d
024 7 $a10.12702/iii.inovagri.2015-a217$2DOI
100 1 $aANTOLIN, L. A. S.
245 $aIrrigation efficiency simulation for common bean during dry season, in the municipality of Goiânia, Goiás.
260 $aIn: INOVAGRI INTERNATIONAL MEETING, 3., 2015, Fortaleza. Anais... Fortaleza: INI$c2015
520 $aGoiás State is considered the major common beans producer in the autumn/winter season. In this season, the common beans production is fully irrigated by Center Pivot. However, due to the water scarcity water, the water dispute among human consumption, power generation, industries and agriculture is increasing. Then, it is important to optimize their consumption in the agriculture. Crop models are excellent tools for that and were used in this study to simulate the irrigation efficiency during the winter season for two cultivars, Pérola and BRS Radiante. Five planting dates from April to August and five irrigation amounts (10, 15, 20, 25 and 30 mm) applied when the soil water content reaches 50% of field capacity (CC) were considered. For cultivar Pérola, longer cycle, the best irrigation efficiency was obtained at the end of planting season, in the month of August, for the fixed irrigation amounts of 20 and 25 mm respectively. In the other hand, for the short cycle cultivar, BRS Radiante, the best irrigation efficiency was obtained only at the begin of planting date season, April.
650 $aEvapotranspiração
650 $aFeijão
650 $aIrrigação
650 $aModelo de simulação
650 $aPhaseolus vulgaris
650 $aSeca
653 $aCROPGRO
700 1 $aCOSTA NETO, G. M. F.
700 1 $aBORGES, M. G.
700 1 $aHEINEMANN, A. B.
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Registro original: |
Embrapa Arroz e Feijão (CNPAF) |
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Biblioteca |
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Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
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URL |
Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Soja; Embrapa Trigo. |
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Data corrente: |
14/12/2022 |
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Data da última atualização: |
14/12/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
MILIOLI, A. S.; MEIRA, D.; PANHO, M. C.; MANDELLA, L. A.; WOYANN, L. G.; TODESCHINI, M. H.; ZDZIARSKI, A. D.; CAMPAGNOLLI, O. R.; MENEGAZZI, C. P.; COLONELLI, L. L.; FERNANDES, R. A. T.; MELO, C. L. P. de; OLIVEIRA, M. F. de; BERTAGNOLLI, P. F.; ARIAS, C. A. A.; GIASSON, N. F.; MATSUMOTO, M. N.; QUIROGA, M; SILVA, R. R.; BERTAN, I.; CAPELIN, M. A.; MATEI, G.; BENIN, G. |
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Afiliação: |
ANDERSON SIMIONATO MILIOLI, Universidade Tecnológica Federal do Paraná/Pato Branco; DANIELA MEIRA, Universidade Tecnológica Federal do Paraná/Pato Branco; MAIARA CECÍLIA PANHO, Universidade Tecnológica Federal do Paraná/Pato Branco; LAURA ALEXANDRA MADELLA, Universidade Tecnológica Federal do Paraná/Pato Branco; LEOMAR GUILHERME WOYANN, Universidade Tecnológica Federal do Paraná/Pato Branco; MATHEUS HENRIQUE TODESCHINI, TMG Tropical Melhoramento e Genética; ANDREI DANIEL ZDZIARSKI, GDM Seeds; OTÁVIO RAMOS CAMPAGNOLLI, Universidade Tecnológica Federal do Paraná/Pato Branco; CAROLINE PATRÍCIA MENEGAZZI, Universidade Tecnológica Federal do Paraná/Pato Branco; LUCAS LEITE COLONELLI, Universidade Tecnológica Federal do Paraná/Pato Branco; ROGÊ AFONSO TOLENTINO FERNANDES, Universidade Tecnológica Federal do Paraná/Pato Branco; CARLOS LASARO PEREIRA DE MELO, CNPSO; MARCELO FERNANDES DE OLIVEIRA, CNPSO; PAULO FERNANDO BERTAGNOLLI, CNPT; CARLOS ALBERTO ARRABAL ARIAS, CNPSO; NIZIO FERNANDO GIASSON, GDM Seeds; MARCOS NORIO MATSUMOTO, GDM Seeds; MARCOS QUIROGA, GDM Seeds; RAPHAEL ROSSI SILVA, TMG Tropical Melhoramento e Genética; IVANDRO BERTAN, Syngenta; MARCIO ANDREI CAPELIN, Syngenta; GILVANI MATEI, Syngenta; GIOVANI BENIN, Universidade Tecnológica Federal do Paraná/Pato Branco. |
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Título: |
Genetic improvement of soybeans in Brazil: South and Midwest regions |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Crop Science, v. 62, n. 6, p. 2276-2293, 2022. |
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DOI: |
https://doi.org/10.1002/csc2.20820 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: Soybean [Glycine max (L.) Merril] is one of the main crops produced worldwide, and on-farm yields have increased considerably in the last decades in Brazil. We evaluated the genetic gain for agronomic, phenological, and end-use quality traits in 29 cultivars in the South Region, and in 38 cultivars in the Midwest Region in Brazil, released from 1966 to 2011. Field trials were conducted in Macroregions 1, 2, and 4, in 2016?2017, 2017?2018, and 2018?2019 crop seasons. The best linear unbiased predictors (BLUP) of the cultivars were obtained for each trait using a linear model. The BLUPs were regressed with the year of release using linear and quadratic regression models. The rates of genetic gain for seed yield ranged from 11.98 to 15.31 kg ha?1 yr?1 (0.33 to 0.42% yr?1) in the South Region, and from 13.58 to 21.84 kg ha?1 yr?1 (0.47 to 0.77% yr?1) in the Midwest Region. New cultivars presented taller plants and more seed oil content, oil and protein yield, and lower seed weight, days to flowering, days to maturity, and seed protein content than old cultivars in the South Region, although with differences between the Macroregions. In the Midwest Region, new cultivars showed higher seed oil content, oil and protein yield, and lower bottom pod height and seed protein content than old cultivars. Our results showed that breeding programs have been efficient to improve soybean yield and other traits across the years, without yield plateaus in sight. |
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Thesagro: |
Melhoramento Genético Vegetal; Produtividade; Soja. |
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Thesaurus NAL: |
Plant genetics; Soybeans. |
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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/1149696/1/Genetic-Improvement-of-Soybeans-in-Brazil-Final-Published-Version.pdf
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Marc: |
LEADER 02735naa a2200457 a 4500
001 2149696
005 2022-12-14
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1002/csc2.20820$2DOI
100 1 $aMILIOLI, A. S.
245 $aGenetic improvement of soybeans in Brazil$bSouth and Midwest regions$h[electronic resource]
260 $c2022
520 $aAbstract: Soybean [Glycine max (L.) Merril] is one of the main crops produced worldwide, and on-farm yields have increased considerably in the last decades in Brazil. We evaluated the genetic gain for agronomic, phenological, and end-use quality traits in 29 cultivars in the South Region, and in 38 cultivars in the Midwest Region in Brazil, released from 1966 to 2011. Field trials were conducted in Macroregions 1, 2, and 4, in 2016?2017, 2017?2018, and 2018?2019 crop seasons. The best linear unbiased predictors (BLUP) of the cultivars were obtained for each trait using a linear model. The BLUPs were regressed with the year of release using linear and quadratic regression models. The rates of genetic gain for seed yield ranged from 11.98 to 15.31 kg ha?1 yr?1 (0.33 to 0.42% yr?1) in the South Region, and from 13.58 to 21.84 kg ha?1 yr?1 (0.47 to 0.77% yr?1) in the Midwest Region. New cultivars presented taller plants and more seed oil content, oil and protein yield, and lower seed weight, days to flowering, days to maturity, and seed protein content than old cultivars in the South Region, although with differences between the Macroregions. In the Midwest Region, new cultivars showed higher seed oil content, oil and protein yield, and lower bottom pod height and seed protein content than old cultivars. Our results showed that breeding programs have been efficient to improve soybean yield and other traits across the years, without yield plateaus in sight.
650 $aPlant genetics
650 $aSoybeans
650 $aMelhoramento Genético Vegetal
650 $aProdutividade
650 $aSoja
700 1 $aMEIRA, D.
700 1 $aPANHO, M. C.
700 1 $aMANDELLA, L. A.
700 1 $aWOYANN, L. G.
700 1 $aTODESCHINI, M. H.
700 1 $aZDZIARSKI, A. D.
700 1 $aCAMPAGNOLLI, O. R.
700 1 $aMENEGAZZI, C. P.
700 1 $aCOLONELLI, L. L.
700 1 $aFERNANDES, R. A. T.
700 1 $aMELO, C. L. P. de
700 1 $aOLIVEIRA, M. F. de
700 1 $aBERTAGNOLLI, P. F.
700 1 $aARIAS, C. A. A.
700 1 $aGIASSON, N. F.
700 1 $aMATSUMOTO, M. N.
700 1 $aQUIROGA, M
700 1 $aSILVA, R. R.
700 1 $aBERTAN, I.
700 1 $aCAPELIN, M. A.
700 1 $aMATEI, G.
700 1 $aBENIN, G.
773 $tCrop Science$gv. 62, n. 6, p. 2276-2293, 2022.
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Registro original: |
Embrapa Trigo (CNPT) |
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