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Registro Completo |
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
07/12/2015 |
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Data da última atualização: |
02/08/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
CARVALHO, J. de F. C.; CRUSIOL, L. G. T.; PERINI, L. J.; SIBALDELLI, R. N. R.; FERREIRA. L. C.; MARCELINO-GUIMARÃES, F. C.; NEPOMUCENO, A. L.; NEUMAIER, N.; FARIAS, J. R. B. |
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Afiliação: |
JOSIRLEY DE FÁTIMA CORRÊA CARVALHO, Pós-graduanda; LUIS GUILHERME TEIXEIRA CRUSIOL, Embrapa Soja; LUIZ JUNIOR PERINI, Embrapa Soja; RUBSON NATAL RIBEIRO SIBALDELLI, UTFPR; LEONARDO CESAR FERREIRA, Embrapa Soja; FRANCISMAR CORREA MARCELINO GUIMARA, CNPSO; ALEXANDRE LIMA NEPOMUCENO, SRI; NORMAN NEUMAIER, CNPSO; JOSE RENATO BOUCAS FARIAS, CNPSO. |
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Título: |
Phenotyping soybeans for drought responses using remote sensing techniques and non-destructive physiological analysis. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
Global Science and Technology, v. 8, n. 2, p. 1-16, maio/ago. 2015. |
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ISSN: |
1984-3801 |
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DOI: |
10.14688/1984-3801/gst.v8n2p1-16 |
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Idioma: |
Inglês |
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Conteúdo: |
ABSTRACT: Water deficit is the major abiotic factor that limits crop productivity. Climate changes are likely to exacerbate drought stresses in the future. In the present work, we investigated the feasibility of using the Normalized Difference Vegetation Index (NDVI) combined with the canopy tempera ture and other physiological characteristics, such as chlorophyll content and gas exchange, to monitor soybean (Glycine max L. Merrill) plants differing in their drought response under glasshouse conditions. Additionally, the drought responses of the cultivars Embrapa 48 and BR 16 were assessed under conditions of natural drought, water deficit simulated by sheltering the plants from rain at the vegetative and reproductive periods and irrigation at field conditions. Remote sensing techniques could be used to initially assess the drought responses of soybean plants under controlled conditions. Additionally, we observed the relationship between the NDVI and several physiological characteristics, such as chlorophyll content, photosynthesis, stomatal conductance and transpiration. Therefore, the combination between remote sensing techniques and the assessment of physiological traits of plant materials at the same developmental stage and leaf areas is useful to accurately monitor cultivars presenting different drought responses. RESUMO: O déficit hídrico é o maior fator abiótico que limita a produtividade das culturas. As mudanças climáticas provavelmente agravarão os estresses hídricos no futuro. No presente trabalho, nós investigamos a viabilidade de uso do Índice de Vegetação por Diferença Normalizada (NDVI) combinado à temperatura do dossel e a outras características fisiológicas, tais como teor de clorofila e trocas gasosas, para monitorar plantas de soja (Glycine max L. Merrill) com respostas diferenciais à seca, sob condições de casa de vegetação. Adicionalmente, as respostas à seca das cultivares Embrapa 48 e BR 16 foram avaliadas sob condições de seca natural, déficit hídrico simulado abrigando - se as plantas da chuva nos períodos vegetativo e reprodutivo e irrigação sob condições de campo. Tecnologias de sensoriamento remoto puderam ser usadas para inicialmente avaliar as respostas à seca de plantas de soja sob condições controladas. Além disso, nós observamos a relação entre o NDVI e diversas características fisiológicas, tais como teor de clorofila, fotossíntese, condutância estomática e transpiração. Portanto, a combinação entre técnicas de sensoriamento remoto e a avaliação de características fisiológicas e materiais vegetais no mesmo estádio de desenvolvimento e áreas foliares é útil para monitorar precisamente cultivares apresentando diferentes respostas à seca. MenosABSTRACT: Water deficit is the major abiotic factor that limits crop productivity. Climate changes are likely to exacerbate drought stresses in the future. In the present work, we investigated the feasibility of using the Normalized Difference Vegetation Index (NDVI) combined with the canopy tempera ture and other physiological characteristics, such as chlorophyll content and gas exchange, to monitor soybean (Glycine max L. Merrill) plants differing in their drought response under glasshouse conditions. Additionally, the drought responses of the cultivars Embrapa 48 and BR 16 were assessed under conditions of natural drought, water deficit simulated by sheltering the plants from rain at the vegetative and reproductive periods and irrigation at field conditions. Remote sensing techniques could be used to initially assess the drought responses of soybean plants under controlled conditions. Additionally, we observed the relationship between the NDVI and several physiological characteristics, such as chlorophyll content, photosynthesis, stomatal conductance and transpiration. Therefore, the combination between remote sensing techniques and the assessment of physiological traits of plant materials at the same developmental stage and leaf areas is useful to accurately monitor cultivars presenting different drought responses. RESUMO: O déficit hídrico é o maior fator abiótico que limita a produtividade das culturas. As mudanças climáticas provavelmente agravarão os estresses hídric... Mostrar Tudo |
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Thesagro: |
Deficiência hídrica; Soja. |
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Thesaurus Nal: |
Plant-water relations; Soybeans. |
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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/134964/1/v08n02a01.pdf
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Marc: |
LEADER 03689naa a2200289 a 4500
001 2030764
005 2017-08-02
008 2015 bl uuuu u00u1 u #d
022 $a1984-3801
024 7 $a10.14688/1984-3801/gst.v8n2p1-16$2DOI
100 1 $aCARVALHO, J. de F. C.
245 $aPhenotyping soybeans for drought responses using remote sensing techniques and non-destructive physiological analysis.$h[electronic resource]
260 $c2015
520 $aABSTRACT: Water deficit is the major abiotic factor that limits crop productivity. Climate changes are likely to exacerbate drought stresses in the future. In the present work, we investigated the feasibility of using the Normalized Difference Vegetation Index (NDVI) combined with the canopy tempera ture and other physiological characteristics, such as chlorophyll content and gas exchange, to monitor soybean (Glycine max L. Merrill) plants differing in their drought response under glasshouse conditions. Additionally, the drought responses of the cultivars Embrapa 48 and BR 16 were assessed under conditions of natural drought, water deficit simulated by sheltering the plants from rain at the vegetative and reproductive periods and irrigation at field conditions. Remote sensing techniques could be used to initially assess the drought responses of soybean plants under controlled conditions. Additionally, we observed the relationship between the NDVI and several physiological characteristics, such as chlorophyll content, photosynthesis, stomatal conductance and transpiration. Therefore, the combination between remote sensing techniques and the assessment of physiological traits of plant materials at the same developmental stage and leaf areas is useful to accurately monitor cultivars presenting different drought responses. RESUMO: O déficit hídrico é o maior fator abiótico que limita a produtividade das culturas. As mudanças climáticas provavelmente agravarão os estresses hídricos no futuro. No presente trabalho, nós investigamos a viabilidade de uso do Índice de Vegetação por Diferença Normalizada (NDVI) combinado à temperatura do dossel e a outras características fisiológicas, tais como teor de clorofila e trocas gasosas, para monitorar plantas de soja (Glycine max L. Merrill) com respostas diferenciais à seca, sob condições de casa de vegetação. Adicionalmente, as respostas à seca das cultivares Embrapa 48 e BR 16 foram avaliadas sob condições de seca natural, déficit hídrico simulado abrigando - se as plantas da chuva nos períodos vegetativo e reprodutivo e irrigação sob condições de campo. Tecnologias de sensoriamento remoto puderam ser usadas para inicialmente avaliar as respostas à seca de plantas de soja sob condições controladas. Além disso, nós observamos a relação entre o NDVI e diversas características fisiológicas, tais como teor de clorofila, fotossíntese, condutância estomática e transpiração. Portanto, a combinação entre técnicas de sensoriamento remoto e a avaliação de características fisiológicas e materiais vegetais no mesmo estádio de desenvolvimento e áreas foliares é útil para monitorar precisamente cultivares apresentando diferentes respostas à seca.
650 $aPlant-water relations
650 $aSoybeans
650 $aDeficiência hídrica
650 $aSoja
700 1 $aCRUSIOL, L. G. T.
700 1 $aPERINI, L. J.
700 1 $aSIBALDELLI, R. N. R.
700 1 $aFERREIRA. L. C.
700 1 $aMARCELINO-GUIMARÃES, F. C.
700 1 $aNEPOMUCENO, A. L.
700 1 $aNEUMAIER, N.
700 1 $aFARIAS, J. R. B.
773 $tGlobal Science and Technology$gv. 8, n. 2, p. 1-16, maio/ago. 2015.
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Registro original: |
Embrapa Soja (CNPSO) |
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Registro Completo
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Biblioteca(s): |
Embrapa Gado de Corte; Embrapa Pantanal. |
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Data corrente: |
13/08/2021 |
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Data da última atualização: |
13/08/2021 |
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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: |
PORTES, J, V.; MENEZES, G. R. de O.; SILVA, L. O. C. da; MACNEIL, M. D.; ABREU, U. G. P. de; LACERDA, V. V. de; BRACCINI NETO, J. |
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Afiliação: |
JULIANA VARCHAKI PORTES, Universidade Federal do Rio Grande do Sul; GILBERTO ROMEIRO DE OLIVEIRA MENEZE, CNPGC; LUIZ OTAVIO CAMPOS DA SILVA, CNPGC; MICHAEL D. MACNEIL, Delta G -Miles City; URBANO GOMES PINTO DE ABREU, CPAP; VIVIANE VASCONCELOS DE LACERDA, Universidade Federal do Rio Grande do Sul; JOSÉ BRACCINI NETO, Universidade Federal do Rio Grande do Sul. |
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Título: |
Selection indexes for nellore production system in the Brazilian Pantanal. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Revista Brasileira de Zootecnia, v.50, e20200264, 2021. |
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DOI: |
https://doi.org/10.37496/rbz5020200264 |
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Idioma: |
Inglês
Português |
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Notas: |
Animal production systems and agribusiness. |
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Conteúdo: |
The objective was to develop selection indexes for Nellore cattle raised in full-cycle production system in the Brazilian Pantanal. The resulting offspring are retained as replacements or sold at two years of age. Preliminary analyses explored effects of scale on economic values (EV). However, given the available data, these effects were very small. Presented herein are results from a simulated system consisting of 5,000 cows with all animals maintained on pasture as is typical in Pantanal. The EV were determined by approximating the partial derivatives of the profit function, changing one trait at a time, by one unit, while keeping the other traits constant. Traits in the breeding objective were mature cow weight, direct and maternal weaning weight, postweaning average daily gain, subcutaneous fat depth, longissimus muscle area, and stayability. Economic values were calculated on the basis of number of animals (per head), number of animal units, and arroba of carcasss weight. Regardless of the basis, maternal weaning weight and subcutaneous fat depth made negligible contributions to the breeding objective. Proportions of variation in the breeding objectives (per head, per animal unit, per arroba) explained by cow weight, direct weaning weight, postweaning average daily gain, stayability, and longissimus muscle area were: 13, 13, 17; 6, 1, 5; 3, 3, 4; 67, 67, 61; and 11, 17, 13, respectively. These indexes may aid Nellore breeders in their selection decisions, thus facilitating the genetic progress and increased productivity and profitability of Pantanal herds. MenosThe objective was to develop selection indexes for Nellore cattle raised in full-cycle production system in the Brazilian Pantanal. The resulting offspring are retained as replacements or sold at two years of age. Preliminary analyses explored effects of scale on economic values (EV). However, given the available data, these effects were very small. Presented herein are results from a simulated system consisting of 5,000 cows with all animals maintained on pasture as is typical in Pantanal. The EV were determined by approximating the partial derivatives of the profit function, changing one trait at a time, by one unit, while keeping the other traits constant. Traits in the breeding objective were mature cow weight, direct and maternal weaning weight, postweaning average daily gain, subcutaneous fat depth, longissimus muscle area, and stayability. Economic values were calculated on the basis of number of animals (per head), number of animal units, and arroba of carcasss weight. Regardless of the basis, maternal weaning weight and subcutaneous fat depth made negligible contributions to the breeding objective. Proportions of variation in the breeding objectives (per head, per animal unit, per arroba) explained by cow weight, direct weaning weight, postweaning average daily gain, stayability, and longissimus muscle area were: 13, 13, 17; 6, 1, 5; 3, 3, 4; 67, 67, 61; and 11, 17, 13, respectively. These indexes may aid Nellore breeders in their selection decisions, thus facilitat... Mostrar Tudo |
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Thesagro: |
Gado de Corte; Genética Animal. |
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Thesaurus NAL: |
Animal genetics; Beef cattle; Bioeconomic models. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/225148/1/Selection-indexes-for-Nellore-2021.pdf
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Marc: |
LEADER 02447naa a2200277 a 4500
001 2133534
005 2021-08-13
008 2021 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.37496/rbz5020200264$2DOI
100 1 $aPORTES, J, V.
245 $aSelection indexes for nellore production system in the Brazilian Pantanal.$h[electronic resource]
260 $c2021
500 $aAnimal production systems and agribusiness.
520 $aThe objective was to develop selection indexes for Nellore cattle raised in full-cycle production system in the Brazilian Pantanal. The resulting offspring are retained as replacements or sold at two years of age. Preliminary analyses explored effects of scale on economic values (EV). However, given the available data, these effects were very small. Presented herein are results from a simulated system consisting of 5,000 cows with all animals maintained on pasture as is typical in Pantanal. The EV were determined by approximating the partial derivatives of the profit function, changing one trait at a time, by one unit, while keeping the other traits constant. Traits in the breeding objective were mature cow weight, direct and maternal weaning weight, postweaning average daily gain, subcutaneous fat depth, longissimus muscle area, and stayability. Economic values were calculated on the basis of number of animals (per head), number of animal units, and arroba of carcasss weight. Regardless of the basis, maternal weaning weight and subcutaneous fat depth made negligible contributions to the breeding objective. Proportions of variation in the breeding objectives (per head, per animal unit, per arroba) explained by cow weight, direct weaning weight, postweaning average daily gain, stayability, and longissimus muscle area were: 13, 13, 17; 6, 1, 5; 3, 3, 4; 67, 67, 61; and 11, 17, 13, respectively. These indexes may aid Nellore breeders in their selection decisions, thus facilitating the genetic progress and increased productivity and profitability of Pantanal herds.
650 $aAnimal genetics
650 $aBeef cattle
650 $aBioeconomic models
650 $aGado de Corte
650 $aGenética Animal
700 1 $aMENEZES, G. R. de O.
700 1 $aSILVA, L. O. C. da
700 1 $aMACNEIL, M. D.
700 1 $aABREU, U. G. P. de
700 1 $aLACERDA, V. V. de
700 1 $aBRACCINI NETO, J.
773 $tRevista Brasileira de Zootecnia$gv.50, e20200264, 2021.
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Embrapa Gado de Corte (CNPGC) |
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