Produção de matéria seca da braquiária de acordo com os atributos químicos de um Latossolo em Selvíria, Mato Grosso do Sul

Montanari, Rafael; Carvalho, Morel de Passos e; Filho, Marcelo Carvalho Minhoto Teixeira; Dalchiavon, Flávio Carlos

doi:10.1590/s0034-737x2013000400011

Cited by 10 publications

(15 citation statements)

References 10 publications

(12 reference statements)

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“…Already Martins et al (2009), when analyzing a dystroferric Red Latosol under no-tillage, in regular grids of 135 sampling points, found high variability (24%) for grain yield in common bean. In this respect, it differed from those obtained by Megda et al (2008) and Montanari et al (2013b), who found values of medium variability (19, 18.3%) in a dystroferric Red Latosol under no-tillage. The traits NG, NP and DM presented high variability, with coefficients of variation of 26.5; 21.1 and 24.3%, respectively.…”

Section: Resultscontrasting

confidence: 95%

“…Geostatistical analysis (Table 3) showed that there was a spatial dependence for the semivariograms of the phenological indices YIE, MHG and DM, which adjusted to the spherical model, whereas SD adjusted to the exponential model, agreeing with Montanari et al, (2013b), who reported that spherical and exponential models are the most common theorists of soil and plant attributes. However, phenological indices NG, NGP, NP and PL adjusted to the Gaussian model.…”

Section: Resultsmentioning

confidence: 52%

“…Using denser grids has the objective of refining the distance between the points to determine the reach of the spatial dependence aiming at detecting variations in smaller distances, implying a decrease of the nugget effect and hence improving a used grid (MONTANARI et al, 2013b). This type of sampling using higher density grids within a larger mesh was also used in the study conducted by Montanari et al, (2013a and2013b).…”

Section: Methodsmentioning

confidence: 99%

“…This type of sampling using higher density grids within a larger mesh was also used in the study conducted by Montanari et al, (2013a and2013b).…”

Section: Methodsmentioning

confidence: 99%

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Space variability of phenological indicators of common bean crop

Oliveira¹,

Carvalho²,

Roque³

et al. 2018

Biosci. J.

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ABSTRACT:Common bean (Phaseolus vulgaris L.) has a representative agricultural holding, not only for the economic value of its production, but also for the large area of growing in Brazil. In the harvest 2016/17, this work was conducted in a Quartzarenic Neosol in the municipality of Cassilândia, MS. The objective of this work was to characterize the structure and magnitude of the spatial distribution of phenological indices of the common bean crop and to map the phenological indices in order to visualize the spatial distribution and to evaluate the spatial correlation among common bean yield and plant variables: grain yield (YIE), mass of one hundred grains (MHG), number of grains per plant (NG), number of grains per pod (NGP), number of pods per plant (NP), dry matter (DM), plant length (PL) and stem diameter (SD), sampled in a grid of 117 georeferenced points (81 points of base grid and 36 points of higher density grid). Analysis of these data through statistical and geostatistical techniques made it possible to verify that the production and yield components presented spatial dependence. There was a positive spatial correlation among common bean yield and the mass of one hundred grains, number of grains per pod and plant length, demonstrating that they have a strong spatial dependence.

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Section: Resultscontrasting

confidence: 95%

Section: Resultsmentioning

confidence: 52%

Section: Methodsmentioning

confidence: 99%

“…This type of sampling using higher density grids within a larger mesh was also used in the study conducted by Montanari et al, (2013a and2013b).…”

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Space variability of phenological indicators of common bean crop

Oliveira¹,

Carvalho²,

Roque³

et al. 2018

Biosci. J.

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show abstract

“…A resposta das plantas forrageiras à irrigação e adubação nitrogenada varia conforme o potencial genético das gramíneas (MAGALHÃES et al, 2012) e a boa qualidade do solo é fator determinante da produtividade de matéria seca elevada (MONTANARI et al, 2013). Independente da produção de biomassa, a relação folha:colmo para todos os tratamentos foi estatisticamente igual, sendo 2,4:1, 2,0:1, 2,8:1, 3,0:1 e 2,3:1 para os tratamentos 0N0K, 150N120K, 300N240K, 450N360K e 600N480K, respectivamente.…”

Section: Resultado E Discussãounclassified

PRODUCTIVITY OF TANGOLA GRASS (Brachiaria mutica x Brachiaria arrecta) IN AUTUMN UNDER DIFFERENT FERTILIZATION LEVELS AND REST

Figueiredo

Nicole²,

Santos³

et al. 2016

Nucleus

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RESUMO:O capim tangola, possui grande importância para a produção de pastagem em locais temporariamente alagados com período de estiagem, é um híbrido adaptado à áreas alagadas e mais resistente a seca, possui características fisiológicas como aerênquimas, raízes adventícias, cloroplastos mais próximos a epiderme e epidermes mais finas, que proporcionam sua adaptação ao alagamento. Dessa forma, objetivou-se comparar a produtividade do capim tangola em um sistema irrigado, sob diferentes doses de adubação e frequência de corte no outono. Utilizou-se neste trabalho um Delineamento Inteiramente Casualizado com cinco tratamentos, que são os diferentes níveis de adubação e quatro repetições, sendo realizados cortes de 21 e 28 dias, em canteiros específicos, a uma altura de 20 cm simulando o pastejo. Os níveis de adubação obtiverem diferença significativa a 1% pelo teste de Tukey sem interação com a época de corte de acordo com o período de descanso. As adubações nitrogenada e potássica aumentaram a produtividade do capim. Independente da produção de biomassa, a relação folha:colmo, para todos os tratamentos foi estatisticamente igual, no entanto, houve diferença no dois períodos de descanso, porém a produção de matéria seca aumentou. As adubações nitrogenada e potássica, aumentaram a produtividade do capim tangola durante o outono e o período de descanso de 28 dias, apresentou maior altura do dossel, maior produtividade e menor relação folha:colmo e a melhor eficiência de utilização do nitrogênio ocorreu para o período de descanso de 28 dias associada a dose de 150 kg N ha PRODUCTIVITY OF TANGOLA GRASS (Brachiaria mutica x Brachiaria arrecta) IN AUTUMN UNDER DIFFERENT FERTILIZATION LEVELS AND REST SUMMARY:The Tangola grass has great importance for grassland production in areas temporarily flooded with dry season, it is a hybrid adapted to wetlands and more resistant to drought, has physiological characteristics as aerenchyma, adventitious roots, closer chloroplasts epidermis and epidermis thinner, which provide their adaptation to flooding. Thus, the objective was to compare the productivity of Tangola grass in an irrigated system under different doses of fertilization and cutting frequency in the fall. We used this work a completely randomized design with five treatments, which are the different levels of fertilization and four replications, being carried out 21 and 28 days of cuts in specific sites, at a height of 20 cm simulating grazing. Nutrient levels obtain significant difference to 1% by Tukey test without interaction with the cutting time according to the period of rest. The nitrogen and potassium fertilization increased grass productivity. Regardless of biomass, the leaf: stem ratio for all treatments was statistically similar, however, there were differences in two periods of rest, but the increased dry matter production. The fertilizer nitrogen and potassium, increased productivity Tangola grass during the fall and the rest period of 28 days had higher canopy height, higher productivity and lower leaf: s...

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Spatial Correlation Between the Chemical Attributes of a Red Latosol and the Grain Yield of Common Bean

Oliveira¹,

Roque²,

Borges³

et al. 2020

Reveng

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In recent years, common bean in Brazil has become interesting to precede the growing of off-season cotton due to its short cycle. This study was carried out in a Red Latosol in Chapadão do Sul, MS and aimed to select among the attributes of the evaluated soils, those with the best linear and spatial correlation, to explain the variability of grain yield of common bean in the soil layers of 0 - 0.10 m (layer 1) and 0.10 - 0.20 m (layer 2), sampled in a grid of 121 georeferenced points (spacing of 5 meters between points). The soil chemical attributes were determined: pH, carbon (C), phosphorus (P), potassium (K), calcium (Ca), magnesium (Mg), aluminum (Al), and the sum of bases (SB). The analysis of these data was carried out using statistical and geostatistical techniques that made it possible to verify that for the grain yield of common bean, the multiple regression analysis indicates that approximately 20% of its variation is attributed to the variation in the chemical attributes of the soil presented in the present study. The chemical attributes pH1, pH2, C1, Ca1, Ca2, Mg1a, Mg2, Al2, SB1, and SB2 have spatial dependence classified mostly as moderate. Both linearly and spatially, C1 stood out as a potential indicator of common bean grain yield when grown under no-tillage.

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Produção de matéria seca da braquiária de acordo com os atributos químicos de um Latossolo em Selvíria, Mato Grosso do Sul

Cited by 10 publications

References 10 publications

Space variability of phenological indicators of common bean crop

Space variability of phenological indicators of common bean crop

PRODUCTIVITY OF TANGOLA GRASS (Brachiaria mutica x Brachiaria arrecta) IN AUTUMN UNDER DIFFERENT FERTILIZATION LEVELS AND REST

Spatial Correlation Between the Chemical Attributes of a Red Latosol and the Grain Yield of Common Bean

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