Tipos de plantio e fertilizante biológico no cafeeiro em função do índice térmico

Aparecido, Lucas Eduardo de Oliveira; Souza, Ivan Tomé de; Miranda, Gustavo Rabelo Botrel; Moraes, José Reinaldo da Silva Cabral de; Moraes-Oliveira, Adriana Ferreira de; Paula, Francisco Vitor de

doi:10.25186/cs.v12i3.1275

Cited by 3 publications

(4 citation statements)

References 17 publications

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“…PS estimates obtained for MST (Table 4) ranged from 5.7 BU to 14.4 BU, according to the model and method used. These estimates are consistent with work by Gonçalves et al (2009), who used plots of 13 seedlings, of which five were used for evaluations; Meneghelli et al (2016), using plots of 10 seedlings; Aparecido et al (2017), who used plot consisting of three rows with nine plants in each, adopting the five central plants as useful area, and lower than those used by Berilli et al (2014) and Oliveira and Miglioranza (2015), who used 30 seedlings, and by Alves et al (2016) and Meneghelli et al (2017) who used plots with 20 seedlings.…”

Section: Applicationssupporting

confidence: 86%

Alguns modelos para a estimação do tamanho de parcelas em experimentos

Morais

Villa²,

Gonzales³

et al. 2018

Rev. Bras. Biom.

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A utilização de modelos estatísticos na estimação de tamanho de parcela experimental é prática que contribui no planejamento experimental com escolha de tamanho que propicie melhor eficiência na comparação dos tratamentos. Este trabalho teve por objetivo apresentação de alguns modelos com a finalidade de coloca-los como alternativas na determinação do tamanho ótimo de parcelas em experimentos. Foram propostos alguns modelos não lineares com configuração simples e semelhante à do modelo proposto pela técnica da máxima curvatura modificada, os quais são deriváveis e possuindo função de curvatura. Foi obtida a função de curvatura para cada modelo e por meio do ponto crítico da derivada da função de curvatura obtiveram-se os estimadores do tamanho da parcela. Os modelos se mostraram viáveis para serem utilizados na estimação de tamanho de parcelas com estimadores mais simples do que aquele obtido por Meier e Lessman. Como ilustração, para aplicação da proposta e compará-los com o método da máxima curvatura modificado foram utilizados dados de dois ensaios de uniformidade.

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Section: Applicationssupporting

confidence: 86%

Alguns modelos para a estimação do tamanho de parcelas em experimentos

Morais

Villa²,

Gonzales³

et al. 2018

Rev. Bras. Biom.

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“…Mesquita et al (2014) reported that the commercial biofertilizer Microgeo ® did not cause qualitative or yield benefits for two melon cultivars. The biofertilization using Microgeo did not altered the plant initial growth, plant height, steam diameter and yield among other coffee crop parameters in the first yield year (Aparecido et al, 2017). Gama et al (2014) studied de effect of Microgeo in the melon yield and soluble solids content.…”

Section: Rice Yieldmentioning

confidence: 99%

“…Moreover, the biofertilizer application improves the soil physical properties (Galbiatti et al, 1996). The biofertilizer features described above sustain the fact that it can help increasing the yield of crops, although some researches are controversial (Mesquita et al, 2014;Aparecido et al, 2017;Kumar et al, 2014;Araujo et al, 2016). It should also be noted that biofertilizers are much more economically attractive than conventional chemical fertilizers (Freitas et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Biofertilizer Microgeo® on Rice Crop: Yield and Seed Quality

Almeida¹,

Giancotti²,

Lima³

et al. 2018

JAS

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Rice is the most important crop for the south and south-west region of the Rio Grande do Sul state (Brazil); as all commercial crops, irrigated rice is requiring the use of alternatives for increasing yield and quality of its product with less aggressive/toxic inputs in the environment. The aim of this study was to analyze the influence of the biofertilization in the rice crop yield and the parameter of its seed quality and grain quality. It was carried out a field experiment with two treatments (with and without biofertilization with 150 + 150 L CLC® ha-1) with 12 repetitions in an irrigated rice. Biofertilization did not influenced the percentages of whole grain, polished grain and no broken grain. There were no difference between the treatments for final seed germination, seed hectoliter weight and pH. The rice yield with biofertilization using continuous liquid composting was not statistically higher, an expected result for a first year of biofertilization. However, it provided 398 kg ha-1 grain yield increase, which is a very positive and a promising result considering being the first year of application. Therefore, a significant yield increase for the following years of application is expected.

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“…Crop implementation is one of the most important steps in growing perennial plants. Coffee planting errors-lack of uniformity in plant distribution-can harm future management operations [6]. Indeed, more suitable techniques contribute to uniform crop formation, making its management more efficient [7].…”

Section: Introductionmentioning

confidence: 99%

Monitoring Errors of Semi-Mechanized Coffee Planting by Remotely Piloted Aircraft

et al. 2021

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Mechanized operations on terrain slopes can still lead to considerable errors in the alignment and distribution of plants. Knowing slope interference in semi-mechanized planting quality can contribute to precision improvement in decision making, mainly in regions with high slope. This study evaluates the quality of semi-mechanized coffee planting in different land slopes using a remotely piloted aircraft (RPA) and statistical process control (SPC). In a commercial coffee plantation, aerial images were collected by a remotely piloted aircraft (RPA) and subsequently transformed into a digital elevation model (DEM) and a slope map. Slope data were subjected to variance analysis and statistical process control (SPC). Dependent variables analyzed were variations in distance between planting lines and between plants in line. The distribution of plants on all the slopes evaluated was below expected; the most impacted was the slope between 20–25%, implementing 7.8% fewer plants than projected. Inferences about the spacing between plants in the planting row showed that in slopes between 30–40%, the spacing was 0.53 m and between 0 and 15% was 0.55 m. This denotes the compensation of the speed of the operation on different slopes. The spacing between the planting lines had unusual variations on steep slopes. The SCP quality graphics are of lower quality in operations between 30–40%, as they have an average spacing of 3.65 m and discrepant points in the graphics. Spacing variations were observed in all slopes as shown in the SCP charts, and possible causes and implications for future management were discussed, contributing to improvements in the culture installation stage.

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Tipos de plantio e fertilizante biológico no cafeeiro em função do índice térmico

Cited by 3 publications

References 17 publications

Alguns modelos para a estimação do tamanho de parcelas em experimentos

Alguns modelos para a estimação do tamanho de parcelas em experimentos

Biofertilizer Microgeo® on Rice Crop: Yield and Seed Quality

Monitoring Errors of Semi-Mechanized Coffee Planting by Remotely Piloted Aircraft

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