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Toebe,Marcos; Cargnelutti Filho,Alberto; Carvalho,Juliana Oliveira de; Tartaglia,Francieli de Lima; Cortes,Alessandra Ferreira; Mello,Anderson Chuquel; Melo,Patrícia Jesus de. |
ABSTRACT: The objective of this research was to determine the optimal plot size and the number of replications to evaluate the fresh matter of ryegrass sown to haul. Twenty uniformity trials were conducted, each trial with 16 basic experimental units (BEU) of 0.5 m2. At 117, 118 and 119 days after sowing, the fresh matter of ryegrass in the BEUs of 5, 10 and 5 uniformity trials, respectively, were determined. The optimal plot size was determined by the maximum curvature method of the variation coefficient model. Next, the replications number was determined in scenarios formed by combinations of i treatments (i = 3, 4, ... 50) and d minimum differences between means of treatments to be detected as significant at 5% of probability by the Tukey test,... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Lolium multiflorum L.; Uniformity trials; Experiment planning; Maximum curvature method.. |
Ano: 2020 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782020000100204 |
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Toebe,Marcos; Souza,Rafael Rodrigues de; Mello,Anderson Chuquel; Melo,Patrícia Jesus de; Segatto,Alexandre; Castanha,Ana Carla. |
ABSTRACT: The objectives of this work were estimate the leaf area of squash ‘Brasileirinha’ by linear dimensions of the leaves and check models available in the literature. An experiment was conducted in the 2015/16 sowing season. Were collected 500 leaves and in each one, were measured the length (L), width (W) and length×width product (LW) and determined the real leaf area (LA). Then, 400 leaves were separated to generate models of the leaf area (LA) as a function of linear dimension (L, W or LW) of squash. The remaining 100 leaves were used for the validation of models. A second experiment was conducted in the 2016/17 sowing season. Were collected 250 leaves, used only for the validation of the models of the first experiment. There is collinearity... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Cucurbita moschata; Image processing; Non-destructive method; Mathematical models. |
Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782019000400203 |
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Diel,Maria Inês; Lúcio,Alessandro Dal’Col; Valera,Oscar Valeriano Sanchéz; Sari,Bruno Giacomini; Olivoto,Tiago; Pinheiro,Marcos Vinícius Marques; Melo,Patrícia Jesus de; Tartaglia,Francieli de Lima; Schmidt,Denise. |
ABSTRACT: The objective of this study was to characterize the production of biquinho pepper through the interpretation of parameter estimates from the logistic model and its critical points obtained by the partial derivatives of the function, and to indicate the best cultivar and growing season for subtropical climate sites. For this, a 2x3 factorial experiment was conducted with two cultivars of biquinho pepper (BRS Moema and Airetama biquinho) in three growing seasons (E1: October 2015, E2: November 2015, E3: January 2016). The logistic non-linear model for fruit mass was specified as a function of the accumulated thermal sum, and the critical points were calculated through the partial derivatives of the model, in order to characterize the productive... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Capsicum chinense; Temperature; Fruit mass; Non-linear model. |
Ano: 2020 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782020000400202 |
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