Métodos de avaliação de massa de forragem em pastagens de capim-estrela submetidas a intensidades de pastejo

Arruda, Domenico Sales rocha de; Canto, Marcos Weber do; Jobim, Clóves Cabreira; Carvalho, Paulo César de Faccio

doi:10.1590/s0103-84782011005000141

Cited by 3 publications

(5 citation statements)

References 21 publications

(13 reference statements)

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“…The CHe method showed intermediate correlation values (lower than the methods CH and WH 1 ). According to Arruda et al (2011), the correlation between CHe and forage biomass is dependent on the consistent relationship between TPD, resistance to vertical compression (resilience) and CH, and the differences between these factors can compromise the accuracy of biomass prediction.…”

Section: Resultsmentioning

confidence: 99%

“…This reflects on the canopy growth, which evidences its phenotypic plasticity. In fact, Arruda et al (2011), working with Estrela grass, stated that allometric differences between canopy structures reduce the reliable prediction values of biomass, compromising the generation of calibration models. According to Schuwirth et al (2019), two aspects are fundamental for the chosen model to be able to predict the response variables with certainty, which are the sensitivity of the model to the specific management case and transferability (also called universality), which makes it more applicable in a condition of greater variation.…”

Section: Discussionmentioning

confidence: 99%

“…2019, March 2019, April 2019, May 2019 and June 2019, respectively, when compared with the historical averages, in addition to the shorter photoperiod factor (7.74 h/day), when compared with 2018 (9.61 h/day), and the long experimental period (584 days), may have driven this response of the species.The CHe method showed intermediate correlation values (lower than the methods CH and WH 1 ). According toArruda et al (2011), …”

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confidence: 99%

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Methods for prediction of morphophysiological variables of Brachiaria decumbens grass

Conrado,

Lopes,

Pompeu

et al. 2023

Grassland Science

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The purpose of this study was to evaluate different methodologies used in the field in order to find the one that could most effectively relate to the morphophysiological condition of Brachiaria decumbens cv. Basilisk (syn. Urochloa decumbens cv. Basilisk Stapf R.D. Webster). Two light interception frequencies (LI, 85% and 95%) and two defoliation intensities were adopted as targets for the residual leaf area index (RLAI 1.3 and 1.8). The treatments consisted of evaluating different methods of measuring the canopy height (CH) through its ability to correlate with the morphophysiological variables of species B. decumbens cv. Basilisk. High correlations between the methods CH, compressed height (CHe), weighted height 1 (WH1) and weighted height 8 (WH8) were observed mainly with the variables total forage biomass (TFB) and leaf area index (LAI) in both residual and pre‐grazing conditions. The path analysis showed degrees of multicollinearity, which determined the use of the “k” constants in order to correct the distortions of the diagonal elements of the correlation matrix X'X. Path analysis provided direct cause/effect indexes on TFB using LAI = 0.1435, photosynthesis (A) = −0.1061, CH = 0.1616, CHe = 0.0913, WH1 = 0.1386 and WH8 = 0.0575; on LAI using CH = 0.2404, CHe = 0.2164, WH1 = 0.2307 and WH8 = 0.2183; and on photosynthesis rate (A) using LAI = 0.2895, CH = 0.0203, CHe = −0.1170, WH1 = 0.0352 and WH8 = 0.0937. Similarity was observed between intercepts and slope coefficients for TFB prediction using CH, CHe, WH1 and WH8, providing mean values of 1069.57 and 204.06, respectively. Methods CH and WH1 presented a significant correlation with most morphophysiological variables and can be used to quantify TFB and LAI, while CH and WH8 can be used only for TFB.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

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confidence: 99%

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Methods for prediction of morphophysiological variables of Brachiaria decumbens grass

Conrado,

Lopes,

Pompeu

et al. 2023

Grassland Science

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“…The amount of GM is positively correlated with forage consumption and can be used to characterize pasture development [ 12 , 13 , 14 ]. Another important parameter for analyzing pasture development is dry matter (DM), derived as the forage mass present instantly above ground level per unit area without considering water content [ 15 ].…”

Section: Introductionmentioning

confidence: 99%

Mapping Soil and Pasture Attributes for Buffalo Management through Remote Sensing and Geostatistics in Amazon Biome

Valente

Ferraz

Santana

et al. 2022

Animals

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The mapping of pastures can serve to increase productivity and reduce deforestation, especially in Amazon Biome regions. Therefore, in this study, we aimed to explore precision agriculture technologies for assessing the spatial variations of soil pH and biomass indicators (i.e., Dry Matter, DM; and Green Matter, GM). An experiment was conducted in an area cultivated with Panicum maximum (Jacq.) cv. Mombaça in a rotational grazing system for dairy buffaloes in the eastern Amazon. Biomass and soil samples were collected in a 10 m × 10 m grid, with a total of 196 georeferenced points. The data were analyzed by semivariogram and then mapped by Kriging interpolation. In addition, a variability analysis was performed, applying both the Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI) derived from satellite remote sensing data. The Kriging mapping between DM and pH at 0.30 m depth demonstrated the best correlation. The vegetative index mapping showed that the NDVI presented a better performance in pastures with DM production above 5.42 ton/ha−1. In contrast, DM and GM showed low correlations with the NDWI. The possibility of applying a variable rate within the paddocks was evidenced through geostatistical mapping of soil pH. With this study, we contribute to understanding the necessary premises for utilizing remote sensing data for pasture variable analysis.

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“…However, there is a need to determine the number of standard samples that understands all the variability in the pasture without removing an excessive amount of forage (Zanine et al, 2006 ). These measurements are necessary for the observer as training for the future estimates (Arruda et al, 2011), and validation of the sampling method, mainly in forages of cespitose growth (Cóser et al, 2003).…”

Section: Introductionmentioning

confidence: 99%

Methodologies in the evaluation of forage mass in tree legumes

Oliveira

Lira

Santos

et al. 2018

Agraria

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ABSTRACT:To choose the method of forage mass estimation (FM), consider the plant species, required accuracy and available technology. In this sense, the objective was to evaluate the methods of determination of direct FM and comparative visual performance with five and 10 patterns, in the trees Gliricidia (Gliricidia sepium Jacq.) and Sabiá (Mimosa caesalpiniifolia Benth.) At heights up to 1,5 m above the soil and whole plant (1.65 to 1.90 m for Gliricidia and from 3.63 to 5.03 m for Sabiá, with averages of 1.80 and 4.24 m, respectively), using the plant as a unit sample. The evaluations were performed every 28 days for one year, 2012 to 2013. The trees were cultivated in silvopastoral system with brachiaria, under continuous stocking of cattle with initial weight of ± 175 kg. The methods analyzed by regression in the collection cycles and annually and compared by the 5% F test. At the evaluated times it is possible to estimate the FM production by the indirect method, with no differences in the number of standards. The average annual FM of 118.547 kg in 2,250 plants of Gliricidia ha -1 , slightly varying between heights. At Sabiá the annual average FM was 398.241 and 702.281 kg in 2,250 ha -1 plants, at heights of up to 1.5 m above the ground and whole plant, respectively. The use of the plant as a sample unit, allowed high determination coefficients above 0.800 in the annual analyzes, for the indirect method.Key words: comparative visual income; direct method; forage production Metodologias de avaliação de massa de forragem em leguminosas arbóreas RESUMO: Para escolha do método de estimativa de massa de forragem (MF) deve-se considerar a espécie vegetal, precisão requerida e tecnologia disponíveis. Neste sentido, objetivou-se avaliar os métodos de determinação de MF direto e rendimento visual comparativo com cinco e 10 padrões, nas arbóreas Gliricídia (Gliricidia sepium Jacq.) e Sabiá (Mimosa caesalpiniifolia Benth.) nas alturas até 1,5 m acima do solo e planta inteira (1,65 a 1,90 m para Gliricídia e de 3,63 a 5,03 m para Sabiá, com médias de 1,80 e 4,24 m, respectivamente), utilizando-se a planta como unidade amostral. As avaliações realizadas a cada 28 dias por um ano, 2012 a 2013. As árvores eram cultivadas em sistema silvipastoril com braquiária, sob lotação continua de bovinos com peso inicial de ±175 kg. Os métodos analisados por regressão nos ciclos de coleta e anualmente e comparados pelo teste F a 5%. Nas alturas avaliadas é possível estimar a produção de MF pelo método indireto, não havendo diferenças quanto ao número de padrões. A MF média anual de 118,547 kg em 2.250 plantas de Gliricídia ha -1 , pouco variando entre as alturas. Na Sabiá a MF média anual foi de 398,241 e 702,281 kg em 2.250 plantas ha -1 , nas alturas de até 1,5 m acima do solo e planta inteira, respectivamente. A utilização da planta como unidade amostral, possibilitou altos coeficientes de determinação acima de 0,800 nas análises anuais, para o método indireto.Palavras-chave: rendimento visual comparativo; método direto; produçã...

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Métodos de avaliação de massa de forragem em pastagens de capim-estrela submetidas a intensidades de pastejo

Cited by 3 publications

References 21 publications

Methods for prediction of morphophysiological variables of Brachiaria decumbens grass

Methods for prediction of morphophysiological variables of Brachiaria decumbens grass

Mapping Soil and Pasture Attributes for Buffalo Management through Remote Sensing and Geostatistics in Amazon Biome

Methodologies in the evaluation of forage mass in tree legumes

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