Conilon coffee outturn index: a precise alternative for estimating grain yield

dc.contributor.authorFialho, Gustavo Sessa
dc.contributor.authorFonseca, Aymbiré Francisco Almeida da
dc.contributor.authorFerrão, Maria Amélia Gava
dc.contributor.authorFerrão, Romário Gava
dc.contributor.authorOlivoto, Tiago
dc.contributor.authorNardino, Maicon
dc.contributor.authorReis, Edvaldo Fialho dos
dc.contributor.authorSakiyama, Ney Sussumu
dc.date.accessioned2022-11-03T11:23:30Z
dc.date.available2022-11-03T11:23:30Z
dc.date.issued2022-03-09
dc.description.abstractCoffee 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.pt_BR
dc.formatpdfpt_BR
dc.identifier.citationFIALHO, Gustavo Sessa; FONSECA, Aymbiré Francisco Almeida da; FERRÃO, Maria Amélia Gava; FERRÃO, Romário Gava; OLIVOTO, Tiago; NARDINO, Maicon; REIS, Edvaldo Fialho dos; SAKIYAMA, Ney Sussumu. Conilon coffee outturn index: a precise alternative for estimating grain yield. Acta Scientiarum. Agronomy, Maringá, v. 44, n.1, p. 1-8, 2022. Available from: https://doi.org/10.4025/actasciagron.v44i1.54249. Accessed: 1 nov. 2022.pt_BR
dc.identifier.issn1807-8621
dc.identifier.urihttps://doi.org/10.4025/actasciagron.v44i1.54249pt_BR
dc.identifier.urihttp://www.sbicafe.ufv.br/handle/123456789/13618
dc.language.isoenpt_BR
dc.publisherEditora da Universidade Estadual de Maringá - EDUEMpt_BR
dc.relation.ispartofseriesActa Scientiarum. Agronomy;v. 44, n. 1, 2022;
dc.rightsOpen Accesspt_BR
dc.subjectCoffea canephorapt_BR
dc.subjectBiometrypt_BR
dc.subjectDesirable measurept_BR
dc.subject.classificationCafeicultura::Colheita, pós-colheita e armazenamentopt_BR
dc.titleConilon coffee outturn index: a precise alternative for estimating grain yieldpt_BR
dc.typeArtigopt_BR

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