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| Lúcio,Alessandro Dal'Col; Benz,Vilson. |
| ABSTRACT: The productive variability in horticultural crops affects the planning and quality of the experiments, inflating the error and leading to wrong conclusions with low experimental accuracy and reliability. The objective of this study was to dimension the plot size and number of harvests that are necessary so that there is improvement in the accuracy of zucchini production. The production data used was the one from the uniformity trials where the basic units (BU) were identified with the number of crop row and were numbered according to the position inside the row. With the values of individual production, (fresh fruit biomass) different plots sizes were simulated by summing up the adjacent BUs in the crop rows and the two forms of harvesting... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Cucurbita pepo; Uniformity trial; Multiple regression. |
| Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782017000100202 |
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| Silva Filho,Jairo Vieira da; Figueira,Sérgio Rangel Fernandes. |
| ABSTRACT The objective of this study was to measure the short- and long-term elasticities of the Gross Domestic Product (GDP), productivity, prices paid to producers, milk powder imports, minimum wages, and exchange ratios in milk collection between 1999 and 2016. For the measurement, the cointegration technique for data in a balanced panel was used, contemplating five states with great representativeness in the Brazilian industrial milk collection: Minas Gerais, Paraná, Rio Grande do Sul, Goiás, and São Paulo. These states corresponded to 73.3% of all formal milk collection in 2016. Results indicated that GDP, productivity, and imports impacted long-term milk collection. Productivity and GDP were the variables with the greatest long-term impact, with... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Economy; Milk; Multiple regression; Price. |
| Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982019000100105 |
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| ZANETTI,SAMARA; PEREIRA,LAÍS F.M.; SARTORI,MARIA MÁRCIA P.; SILVA,MARCELO A.. |
| ABSTRACT The objective of this study was to determine predictor models of leaf area of cassava from linear leaf measurements. The experiment was carried out in greenhouse in the municipality of Botucatu, São Paulo state, Brazil. The stem cuttings with 5-7 nodes of the cultivar IAC 576-70 were planted in boxes filled with about 320 liters of soil, keeping soil moisture at field capacity, monitored by puncturing tensiometers. At 80 days after planting, 140 leaves were randomly collected from the top, middle third and base of cassava plants. We evaluated the length and width of the central lobe of leaves, number of lobes and leaf area. The measurements of leaf areas were correlated with the length and width of the central lobe and the number of lobes of the... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Manihot esculenta Crantz; Leaf biometrics; Statistical models; Multiple regression. |
| Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652017000401729 |
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| Safaei-Chaeikar, Sanam; Rahimi, Mehdi. |
| Finding association between molecular markers and agronomic traits provide an excellent tool for indirect selection of a trait of interest in the population. In this study, stepwise regression analysis was used to estimate associations between ISSR and RAPD markers with some agronomic traits in lemon balm ecotypes. The analysis of results revealed significant associations between the traits and some of the studied loci. For all the traits, more than one informative marker was detected. Totally,90informative markers, including 48 ISSR loci and 42 RAPD loci, were identified. The SA-R-10, UBC826-1, UBC812-9, UBC813-10, UBC825-4, OPA-01-15, OPC-04-7 and CS-56-8 markers or fragment showed a significant correlation with Essential oil percentage and controlled... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Association analyses; Informative markers; Multiple regression; R square.. |
| Ano: 2017 |
URL: http://periodicos.uem.br/ojs/index.php/ActaSciBiolSci/article/view/34309 |
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| Banchi,Ângelo D.; Garcia,Angel P.; Grespan,Andrei; Albiero,Daniel; Favarin,Luis G. A.; Galvão,Cezario B.. |
| ABSTRACT The brazilian agriculture has expanded and improved its techniques in the last decades as well as the mechanization of sugarcane cultivation. Overall, the mechanization cost of this cultivation is the highest of the total cost of production in relation to other crops. That cost consists of several elements such as the cost of the harvester. This study aimed to develop a mathematical model that represents the operational cost of the harvester in relation to its operating life and agricultural productivity, parameters that are associated with its operational capacity. Simulations of this cost were conducted, raging the operating life of harvesters between 0 and 17,900 h, and the agricultural productivity of the cultivation from 50 to 130 Mg ha-1.... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Economic performance indicators; Multiple regression; Agricultural management; Agricultural machinery efficiency. |
| Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662019000700552 |
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| Orhan,Hikmet; Eyduran,Ecevit; Tatliyer,Adile; Saygici,Hasan. |
| ABSTRACT This study was conducted on 2049 eggs, collected from commercial white layer hybrids, with the purpose of predicting egg weight (EW) from egg quality characteristics such as shell weight (SW), albumen weight (AW), and yolk weight (YW). In the prediction of EW, ridge regression (RR), multiple linear regression (MLR), and regression tree analysis (RTM) methods were used. Predictive performance of RR and MLR methods was evaluated using the determination coefficient (R2) and variance inflation factor (VIF). R2 (%) coefficients for RR and MLR methods were found as 93.15% and 93.4% without multicollinearity problems due to very low VIF values, varying from 1 to 2, respectively. Being a visual, non-parametric analysis technique, regression tree method... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Chaid algorithm; Data mining; Decision tree; Multiple regression. |
| Ano: 2016 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982016000700380 |
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