Identificação de variáveis causadoras de erro experimental na variável rendimento de grãos de milho

Filho, Alberto Cargnelutti; Storck, Lindolfo; Lúcio, Alessandro Dal ́Col

doi:10.1590/s0103-84782004000300009

Cited by 5 publications

(3 citation statements)

References 8 publications

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“…where: PRC -each production component; α -linear coefficient; βi -regression coefficient of the independent variables; X ij -independent variables X i in the observation j; ɛ j -error associated with PRC in the observation j (Cargnelutti Filho et al, 2004); and, k -number of independent variables.…”

Section: Methodsmentioning

confidence: 99%

Growth, production and yield of common bean under water replacement levels

Magalhães

Lyra

Souza

et al. 2019

Rev. bras. eng. agríc. ambient.

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The bean is a world-class crop and requires adequate water management for higher yield. The objective of this study was to evaluate the growth and the production and to fit multiple regression models to estimate the production components, total biomass accumulation and grain yield of ‘Rosinha’ bean under levels of replacement of evapotranspired water. The experimental design was randomized blocks with four repetitions. Treatments consisted of fractions of crop evapotranspiration (25, 50, 75, 100, 125 and 150% ETc). Growth variables (plant height, number of leaves, leaf area per plant, leaf area index, stem dry mass and leaf dry mass) and production components (number of pods per plant, pod length, pod diameter, pod dry mass, total biomass, pod mass per plant, grain yield) were evaluated. Measurements of growth variables carried out at 35 days after sowing were used to fit multiple regression models to estimate dry pod mass, total biomass accumulation and grain yield of common bean. Higher growth and yield of common bean, ‘Rosinha’, are obtained with irrigation depth corresponding to 100% of the evapotranspired water.

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Section: Methodsmentioning

confidence: 99%

Growth, production and yield of common bean under water replacement levels

Magalhães

Lyra

Souza

et al. 2019

Rev. bras. eng. agríc. ambient.

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show abstract

“…where: PRC -each production component; α -linear coefficient; βi -regression coefficient of the independent variables Xi; Xij -independent variable Xi in observation j; ɛj -error associated with the PRC in observation j (CARGNELUTTI FILHO et al, 2004).…”

Section: 𝐸𝐸𝐸𝐸𝐸𝐸 = 𝑘𝑘𝐸𝐸 * 𝐸𝐸𝐸𝐸𝐸𝐸mentioning

confidence: 99%

Growth, Production and Corn Yield Estimates Under Different Levels of Water Replacement and Doses of Nitrogen

Barbosa¹,

Lyra²,

Magalhães³

et al. 2023

Tecnologia E Inovação Na Agricultura: Aplicação, Produtividade E Sustentabilidade Em Pesquisa

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The aim of this study was to evaluate growth, production and water balance in maize, and to adjust multiple regression models for estimating production components, total biomass accumulation and grain yield under different levels of water replacement and doses of nitrogen. The experiment was conducted at the Centre for Agricultural Sciences of the Federal University of Alagoas (CECA/UFAL). The experimental design was of randomised blocks in split plots. The AG 7088 VT PRO3 maize genotype was used. The treatments consisted of irrigation depths (40, 80, 120,160 and 180% of the crop evapotranspiration - ETC) and doses of nitrogen (N) (0, 75, 150 and 225 ha-1). The following growth variables were evaluated: canopy height (CH), root collar height (RH), leaf length (LL), leaf width (LW), number of green leaves (NGR), number of dry leaves (NDL), leaf area (LA), green leaf weight (GLW) and dry leaf weight (DLW), together with the following production components: Productivity (PROD), 1000-grain weight (TGW), ear length (EL), number of rows per ear (NRE), number of grains per row (NGR) and weight of grain per ear (GWE). There was a significant effect (p<0.005) from irrigation depth (D) on the PC1 variables as a function of the ETc, with no significant effect on the other PCs. There was a significant effect (p<0.001) from the nitrogen dose (N) on PC1, with no significant effect on PC2 or PC3. There was no significant effect from the D x N interaction. The greatest leaf area (9,355 cm²), canopy height (221 cm), leaf width (10.33 cm) and weight of grain per ear (209.74 g) were obtained with the dose of 225 kg N, using complementary irrigation at 200% of the ETC. However, the highest productivity (8.57 t) is achieved with 150 kg N, with complementary irrigation at 200% of the ETC, a value 41.70% higher than the dose of 0 kg N with irrigation at 40% of the ETC. The multiple regression model showed a significant fit to the variables under analysis and is an important tool to aid in decisions on maize crop management.

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“…where FQV is each fiber quality variable, α is linear coefficient, βi is regression coefficient of the independent variables, Xij is independent variable Xi in observation j, ɛj is error associated with FQV in observation j, and K is number of independent variables (CARGNELUTTI FILHO; STORCK; LÚCIO, 2004).…”

mentioning

confidence: 99%

Physiological Adjustments, Yield Increase and Fiber Quality of 'Brs Rubi' Naturally Colored Cotton Under Silicon Doses

et al. 2022

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Globally, the demand for food and consumer products has accompanied population growth, forcing the agriculture and livestock sector to optimize the production systems. In the specific case of agriculture, using improved edible and energetic plant cultivars associated with abiotic stress-reducing substances is a strategy adopted to solve this problem. This investigation aimed to evaluate whether silicon (Si) promotes physiological adjustments, an increase in production, higher yield, and improved quality of naturally colored cotton fibers. Five doses of silicon (0 (control), 5, 10, 15, and 20 kg ha−1) were tested in a completely randomized design. The variables assessed were physiological adjustments, production, yield and quality of fibers produced by BRS Rubi cultivar. Data were submitted to principal component analysis, multivariate and univariate analyses of variance, and multiple linear regression analysis. Silicon promotes physiological adjustments, enhanced production, yield, and quality of naturally colored cotton fibers of BRS Rubi cultivar grown in the Brazilian semiarid region. Fiber quality in plants that have been treated with Si is within the expected values for this cultivar and by the international standard D-4605 of the American Society for Testing and Materials. 10 kg ha−1 of Si is recommended to increase fiber quality of naturally colored cotton cv. BRS Rubi.

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Identificação de variáveis causadoras de erro experimental na variável rendimento de grãos de milho

Cited by 5 publications

References 8 publications

Growth, production and yield of common bean under water replacement levels

Growth, production and yield of common bean under water replacement levels

Growth, Production and Corn Yield Estimates Under Different Levels of Water Replacement and Doses of Nitrogen

Physiological Adjustments, Yield Increase and Fiber Quality of 'Brs Rubi' Naturally Colored Cotton Under Silicon Doses

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