scholarly journals Production cycle and characterization of Italian zucchini genotypes by the logistic model

2021 ◽  
Vol 39 (3) ◽  
pp. 264-271
Author(s):  
Alessandro Dal’Col Lúcio ◽  
Maria I Diel ◽  
Francieli L Tartaglia ◽  
Patrícia J Melo ◽  
André L Tischler ◽  
...  
Keyword(s):  
Nonlinear Model ◽  
Critical Points ◽  
Logistic Model ◽  
Experimental Unit ◽  
Logistic Growth ◽  
Production Cycle ◽  
Growing Seasons ◽  
Thermal Sum

ABSTRACT This study aimed to identify the productive cycle response of Italian zucchini genotypes grown under field conditions in two growing seasons using the nonlinear logistic model and its critical points. Two randomized block experiments were conducted, with three genotypes (Caserta, PX13067051, and Tronco) and two growing seasons (spring-summer and summer-fall), with eight replicates and each experimental unit consisting of 7 plants. The logistic nonlinear model was adjusted for the fruit mass variable, as a function of the accumulated thermal sum, and the critical points were estimated by the partial derivatives of the adjusted function. Adjustment by bootstrap resampling was performed to address the violation of assumptions. The results of intrinsic and parametric nonlinearity confirm the quality of the model fit. This experiment demonstrated that the zucchini genotypes evaluated were more productive in the spring-summer growing season, using the parameters and critical points obtained from the logistic nonlinear model. Genotypes PX13067051 and Caserta showed superior productivity to the Tronco genotype, and also fruited earlier and at a higher rate of production. The logistic growth model and its critical points characterized the production cycle of the zucchini genotypes in different growing seasons and allowed inferences to be made to differentiate the genotypes and the growing seasons.

scholarly journals Yield and physical characterization of Passiflora cincinnata in the Brazilian Savanna

2021 ◽  
Vol 51 ◽  
Author(s):  
Ana Claudia Alves D’Abadia ◽  
Ana Maria Costa ◽  
Fábio Gelape Faleiro ◽  
Juaci Vitória Malaquias ◽  
Francisco Pinheiro de Araújo
Keyword(s):  
Fruit Shape ◽  
Passion Fruit ◽  
Brazilian Savanna ◽  
Yield Potential ◽  
Production Cycle ◽  
Pulp Yield ◽  
Yield And Quality ◽  
Randomized Design

ABSTRACT For the Caatinga passion fruit (Passiflora cincinnata Mast.), there are no indications of varieties specific for the Brazilian Savanna conditions, as well as conduction techniques that make it possible to express a greater yield potential. This study aimed to evaluate the yield and quality of CPEF2220 and CBAF2334 populations in espalier and trellis conduction systems. A completely randomized design was used, in a 2 x 2 factorial arrangement, with three replications of four plants per plot. The fruit yield and physical characteristics were evaluated throughout the production cycle. The average yield was 8.0 kg plant-1 (3.5-14.9 kg plant-1) and the average number of fruits per plant was 139.1 (55.8-283.5), with average pulp yield of 29 %. There was a tendency to increase the number and yield of fruits for the CPEF2220 population conducted in the espalier system. The plant survival rate was 41 % (CPEF2220) and 87.5 % (CBAF2334), with a higher adaptation to the Brazilian Savanna conditions, while the CPEF2220 population presented a higher yield potential. Reductions in mass, longitudinal and equatorial diameter and fruit shape were observed throughout the harvest, with some exceptions for the espalier system, which showed more elongated fruits. The trellis system showed a greater yield potential for the parent populations of the passion fruit BRS Sertão Forte, for the study conditions.

scholarly journals Nonlinear models for describing lettuce growth in autumn-winter

2020 ◽  
Vol 50 (7) ◽  
Author(s):  
Fernanda Carini ◽  
Alberto Cargnelutti Filho ◽  
Rafael Vieira Pezzini ◽  
Jéssica Maronez de Souza ◽  
Gabriela Görgen Chaves ◽  
...  
Keyword(s):  
Critical Points ◽  
Logistic Model ◽  
Dry Matter ◽  
Nonlinear Models ◽  
Logistic Models ◽  
Intrinsic Curvature ◽  
Dependent Variables ◽  
Thermal Sum ◽  
Lettuce Growth ◽  
Curvature Measures

ABSTRACT: The objectives of this study were to fit the Gompertz and Logistic models for the fresh and dry matter of leaves and the fresh and dry matter of shoots of three lettuce cultivars and indicate the best model to describe their growth in autumn-winter. The lettuce cultivars Gloriosa, Pira Verde, and Stella were evaluated in the autumn-winter of 2016 and 2017, in soilless in a protected environment. After transplantation, the fresh and dry matter of leaves and shoots were weighed every seven days. These dependent variables were fit using the accumulated thermal sum. The parameters of the Gompertz and Logistic models were estimated, the assumptions of the models were verified, the indicators of fit quality and critical points were calculated and the parametric and intrinsic curvature measures quantified. The Logistic and Gompertz models presented a satisfactory adjustment for the fresh and dry matter of leaves and the fresh and dry matter of shoots, for the lettuce cultivars Gloriosa, Pira Verde and Stella, in autumn-winter. The Logistic model best describes the growth of the lettuce cultivars.

scholarly journals Production of biquinho pepper in different growing seasons characterized by the logistic model and its critical points

2020 ◽  
Vol 50 (4) ◽  
Author(s):  
Maria Inês Diel ◽  
Alessandro Dal’Col Lúcio ◽  
Oscar Valeriano Sanchéz Valera ◽  
Bruno Giacomini Sari ◽  
Tiago Olivoto ◽  
...  
Keyword(s):  
Linear Model ◽  
Critical Points ◽  
Logistic Model ◽  
Logistic Models ◽  
Parameter Estimates ◽  
Subtropical Climate ◽  
Partial Derivatives ◽  
Horticultural Crops ◽  
Growing Seasons ◽  
Derivatives Of

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 performance of the crop by the biological interpretation of the estimates of the three set parameters. In E3, temperatures close to 0 ºC during the experiment were lethal to the plants, and a linear regression model was used in this case. The production of the cultivars in E1 and E2 were well characterized by the estimated logistic models, and the most productive cultivar was Airetama biquinho in all evaluated seasons. This cultivar also presented higher concentration of production. The two cultivars did not differ significantly with regards to productive precocity. For E3, it was not possible to interpret the parameters in the same way as for E1 and E2, since the use of the linear model did not allow the same interpretations performed for the nonlinear model, reaffirming its applicability horticultural crops of multiple harvests.

scholarly journals Nonlinear modeling proposal for the germination performance of Paspalum regnellii seeds: a species with forage potential in Brazil

2019 ◽  
pp. 1244-1250
Author(s):  
Gabriel Streck Bortolin ◽  
Bruno Giacomini Sari ◽  
João Carlos Pinto Oliveira ◽  
Maurício Marini Kopp ◽  
Rosana Tascheto Vey ◽  
...  
Keyword(s):  
Critical Points ◽  
Logistic Model ◽  
Germination Rate ◽  
Nonlinear Modeling ◽  
Logistic Growth ◽  
Light Weight ◽  
Essential Requirement ◽  
Germination Process ◽  
Logistic Growth Model ◽  
Weight Batch

Finding qualified standard plants is an essential requirement in the search for high-quality pasture, fact that involves knowledge about the performance of the assessed seeds. Therefore, the aim of the present study was to evaluate the influence of seed weight on the germination behavior of Paspalum regnellii seeds through the logistic growth model. The adopted values were taken from an experiment conducted in 2016 under laboratory conditions. A pneumatic separator was used to select four seed classes, depending on the weight of one thousand seeds namely: Extra light, light, middle and weighted. The logistic model was adjusted to data about the germination rate of each class, and the parameters were compared through the F test. Germination rates between classes were compared based on recorded parameters and on model critical points. The logistic model adjusted well to the values and made it possible to use the parameters and critical points of the curve to describe the germination process. In addition to have low germination rate, seeds in the light-weight batch demanded longer to complete this process. Based on estimates about the parameters and the critical points of the model, the weighted-weight seeds were superior in terms of quality than seeds in the other batches, since they recorded higher germination rate in a shorter period-of-time.

scholarly journals Quality of ‘Fuji Suprema’ apples influenced by long-term annual addition of phosphorus to the soil

2018 ◽  
Vol 48 (9) ◽  
Author(s):  
Jaqueline Muniz Gerber ◽  
Gilberto Nava ◽  
Paulo Roberto Ernani ◽  
Marlise Nara Ciotta ◽  
Cassandro Vidal Talamini do Amarante ◽  
...  
Keyword(s):  
Skin Color ◽  
Soil Surface ◽  
Titratable Acidity ◽  
Soluble Solids ◽  
Experimental Unit ◽  
Soil P ◽  
Growing Seasons ◽  
P Addition

ABSTRACT: Fertilization of apple orchards with phosphorus (P) has received less attention than with nitrogen and potassium. In Brazil, the information about apple response to soil P addition is meager. The objective of this study was to evaluate the long-term effect of annual soil P addition on quality and mineral composition of apple fruits. The experiment started in 2010, in a commercial orchard located in the São Joaquim, Southern of Brazil. The orchard consisted of ´Fuji Suprema’, planted in high-density on a Haplumbrept soil. Treatments consisted of 0, 40, 80, 120 and 160kg ha-1 P2O5 applied annually starting in 2010 broadcast over the soil surface along the tree row. Evaluations were performed from 2012/2013 through 2014/2015 growing seasons. We harvested three samples from each experimental unit. One sample was cold stored in a controlled atmosphere chamber for six months; the others were immediately evaluated for firmness, total soluble solids, titratable acidity (TA), skin color, and the concentrations of N, P, K, Ca and Mg in the fruit flesh. Application of P to the soil affected only flesh firmness at harvest and TA after six months of storage in the 2012/2013 season, as well as firmness after six months of storage in the 2013/2014 season. In the 2014/2015 season, the addition of P reduced fruit color but only at harvest. Addition of P to the soil affected the levels of P in the fruit in the 2012/2013 season, as well as N and the N/Ca ratio of fruit in the 2014/2015 season. Overall, attributes related to fruit quality of cultivar Fuji Suprema were slightly affected by long-term annual addition of P to the soil.

scholarly journals Growth Models for Lettuce Cultivars Growing in Spring

2019 ◽  
Vol 11 (6) ◽  
pp. 147
Author(s):  
Fernanda Carini ◽  
Alberto Cargnelutti Filho ◽  
Cirineu Tolfo Bandeira ◽  
Ismael Mario Marcio Neu ◽  
Rafael Vieira Pezzini ◽  
...  
Keyword(s):  
Confidence Intervals ◽  
Critical Points ◽  
Logistic Model ◽  
Goodness Of Fit ◽  
Growth Models ◽  
Logistic Models ◽  
Thermal Sum ◽  
Beginning Of Flowering

The objectives of this study were to adjust the Gompertz and logistic models to fit the fresh and dry matters of leaves and fresh and dry matters of shoots of four lettuce cultivars and indicate the model that best describes the growth in spring. Cultivars Ceres, Gloriosa, Grandes Lagos, and Rubinela were grown in protected environment and in soilless system, in the spring of 2016 and 2017. Seven days after transplantation, fresh and dry leaf matters and fresh and dry shoot matters were weighed every four days until beginning of flowering. The Gompertz and logistic models were adjusted as a function of accumulated thermal sum. The parameters of the Gompertz and logistic models and their confidence intervals were estimated, the assumptions of the models were verified, the goodness-of-fit measures and critical points were calculated, and the parametric and intrinsic nonlinearities quantified. The logistic and Gompertz growth models fitted well to fresh and dry leaf and shoot matters of cultivars Ceres, Gloriosa, Grandes Lagos, and Rubinela, under spring conditions. The logistic model is the most suitable to describe the growth of lettuce cultivars.

Physicochemical and bacteriological characterization of hospital effluents and their impact on the environment

2019 ◽  
Author(s):  
Chem Int
Keyword(s):  
Human Health ◽  
Fecal Coliforms ◽  
Chemical Pollution ◽  
Hospital Effluents ◽  
Biological Contaminants ◽  
Almost All ◽  
Direct Discharge ◽  
Significant Chemical

Liquid effluents discharged by hospitals may contain chemical and biological contaminants whose main source is the different substances used for the treatment of patients. This type of rejection can present a sanitary potentially dangerous risk for human health and can provoke a strong degradation of diverse environmental compartments mainly water and soils. The present study focuses on the quality of the liquid effluents of Hassani Abdelkader’s hospital of Sidi Bel-Abbes (West of Algeria). The results reveal a significant chemical pollution (COD: 879 mgO2/L, BOD5: 850 mgO2/L, NH4+ : 47.9 mg/l, NO2- : 4.2 mg/l, NO3- : 56.8 mg/l with respect to WHO standard of 90 mgO2/L, 30 mgO2/L, 0.5 mg/l, 1 mg/l and 1 mg/l respectively). However, these effluents are biodegradable since the ratio COD/BOD5 do not exceeded the value of 2 in almost all samples. The presence of pathogen germs is put into evidence such as pseudomonas, the clostridium, the staphylococcus, the fecal coliforms and fecal streptococcus. These results show that the direct discharge of these effluents constitutes a major threat to human health and the environment.

scholarly journals Proteomic Advances in Milk and Dairy Products

Molecules ◽  
2021 ◽  
Vol 26 (13) ◽  
pp. 3832
Author(s):  
Rubén Agregán ◽  
Noemí Echegaray ◽  
María López-Pedrouso ◽  
Radwan Kharabsheh ◽  
Daniel Franco ◽  
...  
Keyword(s):  
Dairy Products ◽  
Two Dimensional Gel Electrophoresis ◽  
Vast Number ◽  
Post Translational Modifications ◽  
Fundamental Parameters ◽  
Complex Fluid ◽  
Proteins And Peptides ◽  
Milk And Dairy Products

Proteomics is a new area of study that in recent decades has provided great advances in the field of medicine. However, its enormous potential for the study of proteomes makes it also applicable to other areas of science. Milk is a highly heterogeneous and complex fluid, where there are numerous genetic variants and isoforms with post-translational modifications (PTMs). Due to the vast number of proteins and peptides existing in its matrix, proteomics is presented as a powerful tool for the characterization of milk samples and their products. The technology developed to date for the separation and characterization of the milk proteome, such as two-dimensional gel electrophoresis (2DE) technology and especially mass spectrometry (MS) have allowed an exhaustive characterization of the proteins and peptides present in milk and dairy products with enormous applications in the industry for the control of fundamental parameters, such as microbiological safety, the guarantee of authenticity, or the control of the transformations carried out, aimed to increase the quality of the final product.

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