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Registro Completo |
Biblioteca(s): |
Embrapa Cerrados. |
Data corrente: |
01/11/2022 |
Data da última atualização: |
01/11/2022 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
SOUZA, S. A.; RODRIGUES, L. N.; CUNHA, F. F. da. |
Afiliação: |
SILAS ALVES SOUZA; LINEU NEIVA RODRIGUES, CPAC; FERNANDO FRANÇA DA CUNHA. |
Título: |
Assessing the precision irrigation potential for increasing crop yield and water savings through simulation. |
Ano de publicação: |
2022 |
Fonte/Imprenta: |
Precision Agriculture, 2022. |
Páginas: |
27 p. |
Idioma: |
Inglês |
Conteúdo: |
In regions such as the Brazilian Cerrado where water availability is low and disputes for water resources are increasing, it is important to evaluate technologies that can increase the efficiency of irrigation. In this scenario, precision irrigation has great potential. However, studies that evaluate the real benefits of precision irrigation are necessary. The present work aimed to assess the precision irrigation potential for increasing crop yield and water savings. To evaluate the possible precision irrigation benefits, two center pivots, acting over soils that had different hydro-physical characteristics, were studied. The available water in the soil (AWC) was used as a reference for irrigation management in two conditions, one considering and one disregarding soil spatial variability. In the management under homogeneous soil conditions, the lowest, the average and the highest AWC values were considered. Management under variable conditions was carried out individually for each pixel with a dimension of 25 m2 (5 × 5 m), considering its real AWC value. Also, four soybean crop sowing dates were considered in a rainy and a dry year. A specific precision irrigation module was developed in Python language to carry out the simulations. The results obtained indicated an average water savings potential of 4.5% in a rainy year and 4.3% in a dry year. The average increased yield potential was 6.4% in the rainy year and 4.0% in the dry year. |
Thesagro: |
Cerrado; Irrigação; Pivô Central; Recurso Hídrico. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1147962/1/Lineu-Assessing-the-precision-irrigation-potential-for-increasing-RESTRITO.pdf
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Marc: |
LEADER 02042naa a2200205 a 4500 001 2147962 005 2022-11-01 008 2022 bl uuuu u00u1 u #d 100 1 $aSOUZA, S. A. 245 $aAssessing the precision irrigation potential for increasing crop yield and water savings through simulation.$h[electronic resource] 260 $c2022 300 $a27 p. 520 $aIn regions such as the Brazilian Cerrado where water availability is low and disputes for water resources are increasing, it is important to evaluate technologies that can increase the efficiency of irrigation. In this scenario, precision irrigation has great potential. However, studies that evaluate the real benefits of precision irrigation are necessary. The present work aimed to assess the precision irrigation potential for increasing crop yield and water savings. To evaluate the possible precision irrigation benefits, two center pivots, acting over soils that had different hydro-physical characteristics, were studied. The available water in the soil (AWC) was used as a reference for irrigation management in two conditions, one considering and one disregarding soil spatial variability. In the management under homogeneous soil conditions, the lowest, the average and the highest AWC values were considered. Management under variable conditions was carried out individually for each pixel with a dimension of 25 m2 (5 × 5 m), considering its real AWC value. Also, four soybean crop sowing dates were considered in a rainy and a dry year. A specific precision irrigation module was developed in Python language to carry out the simulations. The results obtained indicated an average water savings potential of 4.5% in a rainy year and 4.3% in a dry year. The average increased yield potential was 6.4% in the rainy year and 4.0% in the dry year. 650 $aCerrado 650 $aIrrigação 650 $aPivô Central 650 $aRecurso Hídrico 700 1 $aRODRIGUES, L. N. 700 1 $aCUNHA, F. F. da 773 $tPrecision Agriculture, 2022.
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Registro Completo
Biblioteca(s): |
Embrapa Cerrados. |
Data corrente: |
28/12/2009 |
Data da última atualização: |
02/08/2013 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
B - 1 |
Autoria: |
FARIA, C. U. de; KOURY FILHO, W.; MAGNABOSCO, C. de U.; ALBUQUERQUE, L. G. de; BEZERRA, L. A. F.; LÔBO, R. B. |
Afiliação: |
CARINA UBIRAJARA DE FARIA, UFG; WILLIAN KOURY FILHO, BRAZILCOMZ ZOOTECNIA TROPICAL; CLAUDIO DE ULHOA MAGNABOSCO, CPAC; LUCIA GALVÃO DE ALBUQUERQUE, USP; LUIZ ANTONIO FRAMARTINO BEZERRA, USP; RAYSILDO BARBOSA LÔBO, ASSOCIAÇÃO NACIONAL DE CRIADORES E PESQUISADORES. |
Título: |
Bayesian inference in genetic parameter estimation of visual scores in Nellore beef-cattle |
Ano de publicação: |
2009 |
Fonte/Imprenta: |
Genetics and Molecular Biology, v. 32, n. 4, p. 753-760, 2009. |
Idioma: |
Inglês |
Conteúdo: |
The aim of this study was to estimate the components of variance and genetic parameters for the visual scores which constitute the Morphological Evaluation System (MES), such as body structure (S), precocity (P) and musculature (M) in Nellore beef-cattle at the weaning and yearling stages, by using threshold Bayesian models. The information used for this was gleaned from visual scores of 5,407 animals evaluated at the weaning and 2,649 at the yearling stages. The genetic parameters for visual score traits were estimated through two-trait analysis, using the threshold animal model, with Bayesian statistics methodology and MTGSAM (Multiple Trait Gibbs Sampler for Animal Models) threshold software. Heritability estimates for S, P and M were 0.68, 0.65 and 0.62 (at weaning) and 0.44, 0.38 and 0.32 (at the yearling stage), respectively. Heritability estimates for S, P and M were found to be high, and so it is expected that these traits should respond favorably to direct selection. The visual scores evaluated at the weaning and yearling stages might be used in the composition of new selection indexes, as they presented sufficient genetic variability to promote genetic progress in such morphological traits. |
Palavras-Chave: |
Características morfológicas; Genetic parameter; Morphological characteristics; Nelore cattle. |
Thesagro: |
Gado Nelore; Genética Animal; Parâmetro Genético. |
Thesaurus NAL: |
animal genetics. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/86941/1/faria-cude-01-2009.pdf
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Marc: |
LEADER 02054naa a2200277 a 4500 001 1578888 005 2013-08-02 008 2009 bl uuuu u00u1 u #d 100 1 $aFARIA, C. U. de 245 $aBayesian inference in genetic parameter estimation of visual scores in Nellore beef-cattle 260 $c2009 520 $aThe aim of this study was to estimate the components of variance and genetic parameters for the visual scores which constitute the Morphological Evaluation System (MES), such as body structure (S), precocity (P) and musculature (M) in Nellore beef-cattle at the weaning and yearling stages, by using threshold Bayesian models. The information used for this was gleaned from visual scores of 5,407 animals evaluated at the weaning and 2,649 at the yearling stages. The genetic parameters for visual score traits were estimated through two-trait analysis, using the threshold animal model, with Bayesian statistics methodology and MTGSAM (Multiple Trait Gibbs Sampler for Animal Models) threshold software. Heritability estimates for S, P and M were 0.68, 0.65 and 0.62 (at weaning) and 0.44, 0.38 and 0.32 (at the yearling stage), respectively. Heritability estimates for S, P and M were found to be high, and so it is expected that these traits should respond favorably to direct selection. The visual scores evaluated at the weaning and yearling stages might be used in the composition of new selection indexes, as they presented sufficient genetic variability to promote genetic progress in such morphological traits. 650 $aanimal genetics 650 $aGado Nelore 650 $aGenética Animal 650 $aParâmetro Genético 653 $aCaracterísticas morfológicas 653 $aGenetic parameter 653 $aMorphological characteristics 653 $aNelore cattle 700 1 $aKOURY FILHO, W. 700 1 $aMAGNABOSCO, C. de U. 700 1 $aALBUQUERQUE, L. G. de 700 1 $aBEZERRA, L. A. F. 700 1 $aLÔBO, R. B. 773 $tGenetics and Molecular Biology$gv. 32, n. 4, p. 753-760, 2009.
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