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Registro Completo |
Biblioteca(s): |
Embrapa Meio-Norte. |
Data corrente: |
17/10/2022 |
Data da última atualização: |
17/10/2022 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
SILVA, W. J. dos S.; ALCANTARA NETO, F. de; AL-QAHTANI, W. H.; OKLA, M. K.; AL-HASHIMI, A.; VIEIRA, P. F. de M. J.; GRAVINA, G. de A.; ZUFFO, A. M.; DUTRA, A. F.; CARVALHO, L. C. B.; SOUSA, R. S. de; PEREIRA, A. P. de A.; LEITE, W. de S.; SILVA JUNIOR, G. B. da; SILVA, A. C. da; LEITE, M. R. L.; LUSTOSA SOBRINHO, R.; ABDELGAWAD, H. |
Afiliação: |
WELDER JOSE DOS SANTOS SILVA, FEDERAL UNIVERSITY OF PIAUI; FRANCISCO DE ALCANTARA NETO, FEDERAL UNIVERSITY OF PIAUI; WAHIDAH H. AL-QAHTANI, COLLEGE OF FOOD AND AGRICULTURAL SCIENCES, KING SAUD UNIVERSITY, RIYADH, SAUDI ARABIA; MOHAMMAD K. OKLA, COLLEGE OF SCIENCE, KING SAUD UNIVERSITY, RIYADH, SAUDI ARABIA; ABDULRAHMAN AL-HASHIMI, COLLEGE OF SCIENCE, KING SAUD UNIVERSITY, RIYADH, SAUDI ARABIA; PAULO FERNANDO DE MELO JORGE VIEIRA, CPAMN; GERALDO DE AMARAL GRAVINA, STATE UNIVERSITY OF THE NORTH FLUMINENSE DARCY RIBEIRO, RIO DE JANEIRO, BRAZIL; ALAN MARIO ZUFFO, STATE UNIVERSITY OF MARANHÃO, BALSAS, MARANHÃO, BRAZIL; ALEXSON FILGUEIRAS DUTRA, FEDERAL UNIVERSITY OF PIAUI; LEONARDO CASTELO BRANCO CARVALHO, FEDERAL RURAL UNIVERSITY OF THE AMAZONIA; RICARDO SILVA DE SOUSA, FEDERAL UNIVERSITY OF PIAUI; ARTHUR PRUDÊNCIO DE ARAUJO PEREIRA, FEDERAL UNIVERSITY OF CEARA; WALLACE DE SOUSA LEITE, FEDERAL UNIVERSITY OF PIAUI; GABRIEL BARBOSA DA SILVA JUNIOR, FEDERAL UNIVERSITY OF PIAUI; ADRIANA CONCEIÇAO DA SILVA, FEDERAL UNIVERSITY OF PIAUI; MARCOS RENAN LIMA LEITE, FEDERAL UNIVERSITY OF PIAUI; RENATO LUSTOSA SOBRINHO, FEDERAL UNIVERSITY OF TECHNOLOGY, PATO BRANCO, PARANA, BRAZIL; HAMADA ABDELGAWAD, UNIVERSITY OF ANTWERP, ANTWERPEN, BELGIUM. |
Título: |
Yield of soybean genotypes identified through GGE biplot and path analysis. |
Ano de publicação: |
2022 |
Fonte/Imprenta: |
PLOS ONE, v. 17, n. 10, e0274726, 2022. |
DOI: |
https://doi.org/10.1371/journal. pone.0274726 |
Idioma: |
Inglês |
Conteúdo: |
Genotype x environment (GxE) interaction is an important source of variation in soybean yield, which can significantly influence selection in breeding programs. This study aimed to select superior soybean genotypes for performance and yield stability, from data from multienvironment trials (METs), through GGE biplot analysis that combines the main effects of the genotype (G) plus the genotype-by-environment (G×E) interaction. As well as, through path analysis, determine the direct and indirect influences of yield components on soybean grain yield, as a genotype selection strategy. |
Palavras-Chave: |
Interação genótipo x ambiente. |
Thesagro: |
Genótipo; Produtividade; Soja. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1147354/1/YieldSoybeanGenotypesGGEBiplotPlosOnev17n10e0274726.2022-1.pdf
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Marc: |
LEADER 01717naa a2200385 a 4500 001 2147354 005 2022-10-17 008 2022 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1371/journal. pone.0274726$2DOI 100 1 $aSILVA, W. J. dos S. 245 $aYield of soybean genotypes identified through GGE biplot and path analysis.$h[electronic resource] 260 $c2022 520 $aGenotype x environment (GxE) interaction is an important source of variation in soybean yield, which can significantly influence selection in breeding programs. This study aimed to select superior soybean genotypes for performance and yield stability, from data from multienvironment trials (METs), through GGE biplot analysis that combines the main effects of the genotype (G) plus the genotype-by-environment (G×E) interaction. As well as, through path analysis, determine the direct and indirect influences of yield components on soybean grain yield, as a genotype selection strategy. 650 $aGenótipo 650 $aProdutividade 650 $aSoja 653 $aInteração genótipo x ambiente 700 1 $aALCANTARA NETO, F. de 700 1 $aAL-QAHTANI, W. H. 700 1 $aOKLA, M. K. 700 1 $aAL-HASHIMI, A. 700 1 $aVIEIRA, P. F. de M. J. 700 1 $aGRAVINA, G. de A. 700 1 $aZUFFO, A. M. 700 1 $aDUTRA, A. F. 700 1 $aCARVALHO, L. C. B. 700 1 $aSOUSA, R. S. de 700 1 $aPEREIRA, A. P. de A. 700 1 $aLEITE, W. de S. 700 1 $aSILVA JUNIOR, G. B. da 700 1 $aSILVA, A. C. da 700 1 $aLEITE, M. R. L. 700 1 $aLUSTOSA SOBRINHO, R. 700 1 $aABDELGAWAD, H. 773 $tPLOS ONE$gv. 17, n. 10, e0274726, 2022.
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Embrapa Meio-Norte (CPAMN) |
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Registro Completo
Biblioteca(s): |
Embrapa Gado de Leite. |
Data corrente: |
06/07/2017 |
Data da última atualização: |
30/01/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
GUIMARÃES, J. de L. B; BRITO, M. A. V. P. e; LANGE, C. C.; SILVA, M. R.; RIBEIRO, J. B.; MENDONCA, L. C.; MENDONÇA, J. F. M.; SOUZA, G. N. de. |
Afiliação: |
JULIANA DE L. B. GUIMARÃES, FAPEMIG; MARIA APARECIDA V PAIVA E BRITO, CNPGL; CARLA CHRISTINE LANGE, CNPGL; MARCIO ROBERTO SILVA, CNPGL; JOAO BATISTA RIBEIRO, CNPGL; LETICIA CALDAS MENDONCA, CNPGL; JULIANA FRANÇA MONTEIRO DE MENDONÇA, UFJF; GUILHERME NUNES DE SOUZA, CNPGL. |
Título: |
Estimate of the economic impact of mastitis: A case study in a Holstein dairy herd under tropical conditions. |
Ano de publicação: |
2017 |
Fonte/Imprenta: |
Preventive Veterinary Medicine, v. 142, p. 46-50, 2017. |
Idioma: |
Inglês |
Conteúdo: |
The aim of this study was to estimate the economic impact of mastitis at the herd level and the weight (percent) of the components of this impact in a Holstein dairy herd under tropical conditions. Three estimates of the economic impact of mastitis were performed. In estimates 1 and 2 the real production and economic indices from February 2011 to January 2012 were considered. In the estimate 1, indices for mastitis classified as ideal were considered, whereas in the estimate 2, the mastitis indices used were those recorded at the farm and at Holstein Cattle Association of Minas Gerais State database (real indices). Ideal mastitis indices were bulk milk somatic cell counts less than 250,000 cells/mL, incidence of clinical mastitis less than 25 cases/100 cows/year, number of culls due to udder health problems less than 5% and the percentage of cows with somatic cell counts greater than 200,000 cells/mL less than 20%. Considering the ideal indices of mastitis, the economic impact was US$19,132.35. The three main components of the economic impact were culling cows (39.4%) and the reduction in milk production due to subclinical and clinical mastitis (32.3% and 18.2%, respectively). Estimate 2 using real mastitis indices showed an economic impact of US$61,623.13 and the reduction in milk production due to mastitis (77.7%) and milk disposal (14.0%) were the most relevant components. The real impact of culling cows was approximately 16 times less than the weight that was considered ideal, indicating that this procedure could have been more frequently adopted. The reduction in milk production was 27.2% higher than the reduction in Estimate 1, indicating a need to control and prevent mastitis. The estimate 3 considered the same indices as estimate 2, but for the period from February 2012 to January 2013. Its economic impact was US$91,552.69. During this period, 161 treatments of cows with an intramammary antibiotic were performed to eliminate Streptococcus agalactiae, and eight cows chronically infected with Staphylococcus aureus were culled. The reduction in milk production due to mastitis was the main component of the economic impact (54.9%). The culling of cows with chronic infection was associated with an increase in the economic impact of mastitis and a reduction in the average productivity per cow. At the herd level reduction in milk production was the component that presented the largest weight in the economic impact of the disease MenosThe aim of this study was to estimate the economic impact of mastitis at the herd level and the weight (percent) of the components of this impact in a Holstein dairy herd under tropical conditions. Three estimates of the economic impact of mastitis were performed. In estimates 1 and 2 the real production and economic indices from February 2011 to January 2012 were considered. In the estimate 1, indices for mastitis classified as ideal were considered, whereas in the estimate 2, the mastitis indices used were those recorded at the farm and at Holstein Cattle Association of Minas Gerais State database (real indices). Ideal mastitis indices were bulk milk somatic cell counts less than 250,000 cells/mL, incidence of clinical mastitis less than 25 cases/100 cows/year, number of culls due to udder health problems less than 5% and the percentage of cows with somatic cell counts greater than 200,000 cells/mL less than 20%. Considering the ideal indices of mastitis, the economic impact was US$19,132.35. The three main components of the economic impact were culling cows (39.4%) and the reduction in milk production due to subclinical and clinical mastitis (32.3% and 18.2%, respectively). Estimate 2 using real mastitis indices showed an economic impact of US$61,623.13 and the reduction in milk production due to mastitis (77.7%) and milk disposal (14.0%) were the most relevant components. The real impact of culling cows was approximately 16 times less than the weight that was considered ... Mostrar Tudo |
Palavras-Chave: |
Culling cows; Milk disposal; Reduction of milk production. |
Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
Marc: |
LEADER 03222naa a2200241 a 4500 001 2072116 005 2023-01-30 008 2017 bl uuuu u00u1 u #d 100 1 $aGUIMARÃES, J. de L. B 245 $aEstimate of the economic impact of mastitis$bA case study in a Holstein dairy herd under tropical conditions.$h[electronic resource] 260 $c2017 520 $aThe aim of this study was to estimate the economic impact of mastitis at the herd level and the weight (percent) of the components of this impact in a Holstein dairy herd under tropical conditions. Three estimates of the economic impact of mastitis were performed. In estimates 1 and 2 the real production and economic indices from February 2011 to January 2012 were considered. In the estimate 1, indices for mastitis classified as ideal were considered, whereas in the estimate 2, the mastitis indices used were those recorded at the farm and at Holstein Cattle Association of Minas Gerais State database (real indices). Ideal mastitis indices were bulk milk somatic cell counts less than 250,000 cells/mL, incidence of clinical mastitis less than 25 cases/100 cows/year, number of culls due to udder health problems less than 5% and the percentage of cows with somatic cell counts greater than 200,000 cells/mL less than 20%. Considering the ideal indices of mastitis, the economic impact was US$19,132.35. The three main components of the economic impact were culling cows (39.4%) and the reduction in milk production due to subclinical and clinical mastitis (32.3% and 18.2%, respectively). Estimate 2 using real mastitis indices showed an economic impact of US$61,623.13 and the reduction in milk production due to mastitis (77.7%) and milk disposal (14.0%) were the most relevant components. The real impact of culling cows was approximately 16 times less than the weight that was considered ideal, indicating that this procedure could have been more frequently adopted. The reduction in milk production was 27.2% higher than the reduction in Estimate 1, indicating a need to control and prevent mastitis. The estimate 3 considered the same indices as estimate 2, but for the period from February 2012 to January 2013. Its economic impact was US$91,552.69. During this period, 161 treatments of cows with an intramammary antibiotic were performed to eliminate Streptococcus agalactiae, and eight cows chronically infected with Staphylococcus aureus were culled. The reduction in milk production due to mastitis was the main component of the economic impact (54.9%). The culling of cows with chronic infection was associated with an increase in the economic impact of mastitis and a reduction in the average productivity per cow. At the herd level reduction in milk production was the component that presented the largest weight in the economic impact of the disease 653 $aCulling cows 653 $aMilk disposal 653 $aReduction of milk production 700 1 $aBRITO, M. A. V. P. e 700 1 $aLANGE, C. C. 700 1 $aSILVA, M. R. 700 1 $aRIBEIRO, J. B. 700 1 $aMENDONCA, L. C. 700 1 $aMENDONÇA, J. F. M. 700 1 $aSOUZA, G. N. de 773 $tPreventive Veterinary Medicine$gv. 142, p. 46-50, 2017.
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