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| 9. |  | MAZARO, S. M.; MEYER, M. C.; DIAS-ARIEIRA, C. R.; REIS, E. F. dos; BETTIOL, W. Antagonistic Fungi Against Plant Pathogens for Sustainable Agriculture. In: RAJPAL, V. R.; SINGH, I.; NAVI, S. S. (ed.). Fungal diversity, ecology and control management. Fungal Biology. Singapore: Springer, 2022. p. 607-637. DOI: 10.1007/978-981-16-8877-5_29.| Biblioteca(s): Embrapa Meio Ambiente; Embrapa Soja. |
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| 11. | | PRATISSOLI, D.; VIANNA, U. R.; REIS, E F. dos; ANDRADE, G. S.; SILVA, A. F. da. Influência da densidade de ovos de Spodoptera frugiperda em alguns aspectos biológicos de três espécies de Trichogramma. Revista Brasileira de Milho e Sorgo, Sete Lagoas, v. 4, n. 1, p. 1-7, 2005.| Biblioteca(s): Embrapa Milho e Sorgo. |
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| 13. | | REIS, E. F. dos; REIS, M. S.; CRUZ, C. D.; SEDIYAMA, T.; TEIXEIRA, R. de C. Predicted and realized gains of different selection strategies in soybean populations: a comparative study. Crop Breeding and Applied Biotechnology, Londrina, v. 2, n. 1, p. 61-69, Mar. 2002.| Biblioteca(s): Embrapa Arroz e Feijão. |
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| Registros recuperados : 49 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Café. |
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Data corrente: |
11/03/2022 |
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Data da última atualização: |
11/03/2022 |
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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: |
FIALHO, G. S.; FONSECA, A. F. A. da; FERRAO, M. A. G.; FERRÃO, R. F.; OLIVOTO, T.; NARDINO, M.; REIS, E. F. dos; SAKIYAMA, N. S. |
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Afiliação: |
GUSTAVO SESSA FIALHO, UNIVERSIDADE DE PELOTAS; AYMBIRÉ FRANCISCO ALMEIDA DA FONSECA, CNPCa; MARIA AMELIA GAVA FERRAO, CNPCa; ROMÁRIO GAVA FERRÃO, INCAPER; TIAGO OLIVOTO, UNIVERSIDADE FEDERAL DE SANTA CATARINA; MAICON NARDINO, UFV; EDVALDO FIALHO DOS REIS, UNIVERSIDADE FEDERAL DO ESPÍRITO SANTO; NEY SUSSUMU SAKIYAMA, UFV. |
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Título: |
Conilon coffee outturn index: a precise alternative for estimating grain yield. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Acta Scientiarum. Agronomy, v. 44, e54249, 2022. |
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Idioma: |
Inglês |
|
Conteúdo: |
Coffee outturn can be defined as the ratio between the harvested coffee and its respective processed grains. This character is greatly influenced by genotypic and environmental effects, and in breeding programs your analysis is costly and time-consuming. In this sense, the use of an outturn index to estimate coffee yield on experimental plots is a desirable measure aiming at reducing resources and time in postharvest evaluations. Thus, the present study aimed to evaluate the accuracy of the use of an outturn index equal to 4.0, in the estimation of Conilon coffee grains production. This index indicates that four kilograms of harvested fruit would be needed to obtain one kilogram of processed grains. Based on the average of 157 genotypes conducted in three trials and four harvests, we evaluated the relationship between harvested fruits and processed grains (FcBe), the observed (OGY), and the estimated grain yield per plant (EGY) based on FcBe equal to 4.0 (an outturn index). Descriptive statistics, adequation test for EGY, and the coincidence of occurrence of genotypes observations relating to the top 20% of all observations of OGY and EGY. In the estimation of grain yield in Conilon, the use of FcBe equal to 4.0 showed high precision in the average of the analyzed trials. However, further studies should be conducted to elucidate the effects of climate variables on the yield of Conilon coffee, especially in atypical crop years. Thus, the use of an outturn index becomes interesting in cases where the number of genotypes to be evaluated is very large and a screening of the promising ones is desirable MenosCoffee outturn can be defined as the ratio between the harvested coffee and its respective processed grains. This character is greatly influenced by genotypic and environmental effects, and in breeding programs your analysis is costly and time-consuming. In this sense, the use of an outturn index to estimate coffee yield on experimental plots is a desirable measure aiming at reducing resources and time in postharvest evaluations. Thus, the present study aimed to evaluate the accuracy of the use of an outturn index equal to 4.0, in the estimation of Conilon coffee grains production. This index indicates that four kilograms of harvested fruit would be needed to obtain one kilogram of processed grains. Based on the average of 157 genotypes conducted in three trials and four harvests, we evaluated the relationship between harvested fruits and processed grains (FcBe), the observed (OGY), and the estimated grain yield per plant (EGY) based on FcBe equal to 4.0 (an outturn index). Descriptive statistics, adequation test for EGY, and the coincidence of occurrence of genotypes observations relating to the top 20% of all observations of OGY and EGY. In the estimation of grain yield in Conilon, the use of FcBe equal to 4.0 showed high precision in the average of the analyzed trials. However, further studies should be conducted to elucidate the effects of climate variables on the yield of Conilon coffee, especially in atypical crop years. Thus, the use of an outturn index becomes intere... Mostrar Tudo |
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Thesagro: |
Coffea Canephora; Grão; Produção Agrícola; Produtividade. |
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Thesaurus NAL: |
Biometry. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/232371/1/conilon-coffee-outturn.pdf
|
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Marc: |
LEADER 02366naa a2200265 a 4500
001 2140751
005 2022-03-11
008 2022 bl uuuu u00u1 u #d
100 1 $aFIALHO, G. S.
245 $aConilon coffee outturn index$ba precise alternative for estimating grain yield.$h[electronic resource]
260 $c2022
520 $aCoffee outturn can be defined as the ratio between the harvested coffee and its respective processed grains. This character is greatly influenced by genotypic and environmental effects, and in breeding programs your analysis is costly and time-consuming. In this sense, the use of an outturn index to estimate coffee yield on experimental plots is a desirable measure aiming at reducing resources and time in postharvest evaluations. Thus, the present study aimed to evaluate the accuracy of the use of an outturn index equal to 4.0, in the estimation of Conilon coffee grains production. This index indicates that four kilograms of harvested fruit would be needed to obtain one kilogram of processed grains. Based on the average of 157 genotypes conducted in three trials and four harvests, we evaluated the relationship between harvested fruits and processed grains (FcBe), the observed (OGY), and the estimated grain yield per plant (EGY) based on FcBe equal to 4.0 (an outturn index). Descriptive statistics, adequation test for EGY, and the coincidence of occurrence of genotypes observations relating to the top 20% of all observations of OGY and EGY. In the estimation of grain yield in Conilon, the use of FcBe equal to 4.0 showed high precision in the average of the analyzed trials. However, further studies should be conducted to elucidate the effects of climate variables on the yield of Conilon coffee, especially in atypical crop years. Thus, the use of an outturn index becomes interesting in cases where the number of genotypes to be evaluated is very large and a screening of the promising ones is desirable
650 $aBiometry
650 $aCoffea Canephora
650 $aGrão
650 $aProdução Agrícola
650 $aProdutividade
700 1 $aFONSECA, A. F. A. da
700 1 $aFERRAO, M. A. G.
700 1 $aFERRÃO, R. F.
700 1 $aOLIVOTO, T.
700 1 $aNARDINO, M.
700 1 $aREIS, E. F. dos
700 1 $aSAKIYAMA, N. S.
773 $tActa Scientiarum. Agronomy$gv. 44, e54249, 2022.
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Registro original: |
Embrapa Café (CNPCa) |
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