Comparação de métodos de medida indireta de massa de forragem em pasto de azevém anual (Lolium multiflorum Lam.)

Cauduro, Guilherme Fernandes; Carvalho, Paulo César de Faccio; Barbosa, Cristina Maria Pacheco; Lunardi, Raquel; Pilau, Alcides; Freitas, Fabiana Kellermann de; Silva, Jamir Luis Silva da

doi:10.1590/s0103-84782006000500044

Cited by 11 publications

(7 citation statements)

References 10 publications

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“…SSH has been regarded as a better herbage mass predictor than RP and capacitance meters in annual ryegrass (Lolium multiflorum Lam.) (Cauduro et al, 2006), even with r 2 lower than 0.70 due to excessive amounts of dead plant material at the base of the sward. Overall, research suggests that for temperate grasses both SSH and RP readings have good applicability giving both good herbage mass estimates, as r 2 often exceeds 0.90 and the CV are seldom above 10% (Bransby et al, 1977;Santillan et al, 1979;Griggs & Stringer, 1988).…”

Section: Resultsmentioning

confidence: 96%

Quantifying herbage mass on rotationally stocked palisadegrass pastures using indirect methods

Braga¹,

Pedreira²,

Herling³

et al. 2009

Sci. agric. (Piracicaba, Braz.)

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Indirect, non-destructive methods for estimating herbage mass on pasture may help growers to better estimate herbage mass and manage the grazing process. The objective of this study was to evaluate two methods for estimating herbage mass on Marandu palisadegrass [Brachiaria brizantha (A. Rich.) Stapf] pastures, over two grazing seasons. The relationships between herbage mass and two indirect, non-destructive measurements (sward surface height -SSH and rising plate meter -RP) were analyzed via regression analysis. Mean determination coefficients (r 2 ) for the regression models were 0.82 and 0.91 for RP and SSH, respectively. Time within season influenced both slope (b) and intercept (a) of the regression models in both methods. The change in model parameters over the course of the seasons suggests the need for frequent model revision and revalidation. Key words: Brachiaria brizantha, sward surface height, herbage allowance, rising plate meter, linear regression QUANTIFICAÇÃO DA MASSA DE FORRAGEM EM PASTOS DE CAPIM MARANDU SOB LOTAÇÃO ROTATIVACOM O USO DE MÉTODOS INDIRETOSRESUMO: Métodos indiretos e não-destrutivos para a estimativa da massa de forragem no pasto podem auxiliar o manejador no estabelecimento de estratégias ótimas de pastejo. O objetivo deste trabalho foi avaliar métodos indiretos de estimativa de massa de forragem em pastos de capim Marandu [Brachiaria brizantha (A. Rich.) Stapf] sob lotação rotativa durante dois anos. Para descrever as relações entre massa de forragem e dois métodos testados (altura do dossel e disco ascendente) foram empregadas regressões lineares. As equações geradas apresentaram coeficiente de determinação médio (r 2 ) de 0,82 e 0,91 para o disco e altura, respectivamente. A época do ano exerceu influência sobre o coeficiente angular (b) e o intercepto (a) das regressões de ambos os métodos. Essa alteração dos componentes das curvas ao longo do tempo indica a necessidade de freqüente revalidação dos modelos. Palavras-chave: Brachiaria brizantha, altura de dossel, oferta de forragem, disco ascendente, regressão linear

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Section: Resultsmentioning

confidence: 96%

Quantifying herbage mass on rotationally stocked palisadegrass pastures using indirect methods

Braga¹,

Pedreira²,

Herling³

et al. 2009

Sci. agric. (Piracicaba, Braz.)

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“…Due to the degree of uncertainty associated with calibration and validation of this capacitance probe, specially in legumes species (Mitra site), its general application should be approached with some reservation, with regard to estimation of pasture dry matter yield in Mediterranean conditions; a fact quoted by other authors. Cauduro et al (2006) obtained poor regression coefficients (R 2 = 0.149) and have acknowledged susceptible error factors, such as the existence of a high quantity of dead vegetation in the form of hay at the soil surface. Murphy et al (1995) and Virkajarvi (1999) reported moderate mean regression coefficients (R 2 = 0.42 and R 2 = 0.44, respectively).…”

Section: Resultsmentioning

confidence: 99%

“…The interest in this evaluation process remains current as each pasture is a different ecosystem, with specific characteristics, which vary with different vegetative states of plants, according to type of grazing management. This interest has been demonstrated in different studies such as those by Stockdale and Kelly (1984), Hirata (2000), Silva and Cunha (2003), Zanine et al (2006) and Cauduro et al (2006).…”

Section: Introductionmentioning

confidence: 84%

“…The methods mentioned in the literature for evaluating the forage in a pasture are mainly grouped in direct methods, such as cutting the forage in a sample area of the pasture, and indirect methods, which do not harm the pasture and are faster, requiring less man power. The standard method of assessing pasture and forage mass is based on cutting all the forage in an area of the pasture that is being sampled (Cauduro et al 2006). Systematic manual plant sampling has been used to analyse spatial distribution of dry matter yield and plant nutrient concentration and to predict its variability on grassland (Bailey et al 2001).…”

Section: Introductionmentioning

confidence: 99%

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Calibration of a capacitance probe for measurement and mapping of dry matter yield in Mediterranean pastures

et al. 2011

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The main objective of this study was to calibrate a commercial capacitance probe for measuring pasture dry matter yields under Mediterranean conditions. The standard method of assessing pasture biomass is based on cutting all the forage within a specified area and requires great effort and expense to collect enough samples to accurately represent a pasture. The field tests were carried out in 2007, 2008 and 2009 on different dates (phenological stages), and on five dairy farms, representing typical pastures in the region (grasses; legumes; and bio-diverse flora, mixture of grasses, legumes and others species). The linear regression techniques used in 2007 to relate the weight of the herbage (direct measurements) to the meter reading of capacitance (indirect measurements) led to high regression coefficients in grasses (R 2 = 0.90; P \ 0.01) and heterogeneous botanical composition (R 2 = 0.87; P \ 0.001) and moderate regression coefficient in legumes species (R 2 = 0.48; P \ 0.05). The validation of the calibration equations in 2008 and 2009 in two sites showed RSME values of 130 kg ha -1 in heterogeneous botanical composition and 456 kg ha -1 in legumes. The results indicated that the capacitance probe together with a GPS receiver might support site-specific management of pastures which would be useful in large areas.

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“…A utilização do bastão graduado para medição da altura indica resultados aceitáveis para predição da disponibilidade de forragem na composição da dieta animal (CAUDURO et al, 2006). A redução na altura da pastagem, causada pela fi tointoxicação, por aplicação de herbicidas no estabelecimento, pode estender o tempo entre a semeadura e o início da utilização da forragem em pastejo.…”

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Seletividade de herbicidas em trevo-branco no estádio fenológico de expansão do primeiro trifólio

et al. 2013

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Comparação de métodos de medida indireta de massa de forragem em pasto de azevém anual (Lolium multiflorum Lam.)

Cited by 11 publications

References 10 publications

Quantifying herbage mass on rotationally stocked palisadegrass pastures using indirect methods

Quantifying herbage mass on rotationally stocked palisadegrass pastures using indirect methods

Calibration of a capacitance probe for measurement and mapping of dry matter yield in Mediterranean pastures

Seletividade de herbicidas em trevo-branco no estádio fenológico de expansão do primeiro trifólio

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