Canopy structural variations affect the relationship between height and light interception in Guinea Grass

Macedo, Vitor Hugo Maués; Cunha, Antônio Marcos Quadros; Cândido, Ebson Pereira; Domingues, Felipe Nogueira; Silva, Wilton Ladeira da; Lara, Márcio André Stefanelli; Rêgo, Aníbal Coutinho do

doi:10.1016/j.fcr.2021.108249

Cited by 10 publications

(13 citation statements)

References 42 publications

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“…The second principal component (PC2; Figures 4A,C) mainly showed the larger variability in relation to the GG.IGA.15 trial, because the data from this trial reflected canopies with high and low values of agronomic variables due to use of rest days ranging from 14 to 49 (Macedo et al, 2021). The low participation of LBA in this study is linked to the small variability of this factor in the observed data.…”

Section: Discussionmentioning

confidence: 71%

“…Consequently, the photoperiod, solar radiation, and temperature data did not vary substantially over the experimental period (Table 1). However, the variability observed in ETa, particularly in the GG.IGA.15 and GG.IGA.17-18 studies (Table 1), can be attributed to the cultivation conditions that included evaluations in both the rainy and the dry periods (Lage Filho et al, 2021;Macedo et al, 2021). In the MG.IGA.15 trial, the evaluations covered only the rainy season and the rainy-dry transition period.…”

Section: Discussionmentioning

confidence: 99%

“…This is because the variation in observations is due to the treatments adopted in the trials, whether using different doses of nitrogen fertilization (trials with Massai grass) or different management techniques (trials with Guinea grass). In pasture production systems, it is common to adopt different management techniques based on grazing goals, which will depend on the technological level, production system, and possible edaphoclimatic variation in the region (Silva et al, 2019b,c;Macedo et al, 2021). These factors are indispensable when considering the changeability of response variables that are relevant for monitoring the structure and productivity of pastures.…”

Section: Discussionmentioning

confidence: 99%

“…The plots with 14, 21, 28, 35, 42, and 49 days of the rest period received doses equivalent to 17, 25, 34, 42, 51, and 59 kg N ha −1 cycle −1 , respectively. For more details on this study, see Macedo et al (2021). The GG.IGA.17-18 test used the same experimental units as the GG.IGA.15 test.…”

Section: Description Of Experimental Trials and Growing Conditionsmentioning

confidence: 99%

“…Water demand is also determined by factors such as leaf surface evapotranspiration, which is dependent on radiation, temperature, air humidity, wind speed, and leaf surface properties (Rind et al, 1990). In tropical pastures, evapotranspiration, mean temperature, and solar radiation influence total forage accumulation, leaf accumulation, tiller population density, and nutritional value (Lage Filho et al, 2021;Macedo et al, 2021;Tapia et al, 2021). As for aspects related to the soil, nitrogen (N) is the most important nutrient in tissue flow, and its assimilation may be limited by a water deficit (Onillon et al, 1995).…”

Section: Introductionmentioning

confidence: 99%

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Agrometeorological and Agronomic Characterization of Megathyrsus Grasses Cultivated in Tropical Humid and Semi-Arid Conditions: A Multivariate Approach

et al. 2022

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Variability in climatic conditions of low-latitude tropical grass cultivation can affect forage production dynamics. Pasture ecosystems are complex and preferably studied from a multifactorial point of view through multivariate approaches. Therefore, in this study, we characterized different growing conditions for grasses of the Megathyrsus genus through studies conducted in tropical humid and semi-arid conditions. We applied principal component, canonical correlation, and discriminant function analyses to the measurements of agronomic and agrometeorological variables in six studies with Guinea and Massai grasses. The principal component analysis, through the climatic characterization by the first principal component, reflects the contrast between water availability and nitrogen variables and energy supply. Agronomic characterization occurred through the distinction between the density of tillers, forage accumulation, and increase in height, versus the accumulation of stems and dead material. The canonical correlation analysis generated a correlation coefficient of 0.84 between the agronomic and agrometeorological variables. There was a contrast between the dead material accumulation and the other agronomic variables, while the agrometeorological variables showed characteristics similar to the first principal component. Discriminant function 1, with 70.36% separation power, distinguished the cultivation conditions based on the study locations. Grass cultivars were differentiated by discriminant function 2, with a 19.20% separation power. From a multivariate variability analysis, despite the similarities of radiation and temperature in the regions studied, the availability of water and nutrients and measurements of agronomic variables can aid in future modeling studies on forage production.

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Section: Discussionmentioning

confidence: 71%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Description Of Experimental Trials and Growing Conditionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Agrometeorological and Agronomic Characterization of Megathyrsus Grasses Cultivated in Tropical Humid and Semi-Arid Conditions: A Multivariate Approach

et al. 2022

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Regrowth of brachiariagrasses as related to stubble characteristics under N fertilization and irrigation

et al. 2022

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Seasonal and annual changes in stubble characteristics can affect the regrowth of warm‐season perennial grasses. Understanding these changes and their effects on forage accumulation rate (FAR) can improve defoliation management. Our objective was to describe and relate variations in stubble characteristics with FAR during regrowth of four palisadegrasses [Brachiaria brizantha (Hochst. Ex A. Rich.) Stapf. syn. Urochloa brizantha (Hochst. ex A. Rich.) R.D. Webster], genotypes Marandu, Xaraés, Arapoty, and Capiporã, and one signalgrass [Brachiaria decumbens (Stapf.) syn. Urochloa decumbens (Stapf.) R.D. Webster] cultivar Basilisk, in southeastern Brazil. Plots were harvested at 15‐cm stubble height every 28 d during the warm season and 42 d during the cool season of years 2005–2006 and 2007–2008. Stubble mass was ∼1,070 kg DM ha−1 greater in the cool than warm season, whereas FAR was less in the cool season. Arapoty and Basilisk showed generally less FAR (∼45 kg d−1) and stubble leaf, stem, dead material, and total mass during the warm season than more productive grasses Capiporã and Xaraés (∼63 kg d−1). Leaf and canopy photosynthesis varied over seasons and years, but they were similar among grasses despite differences in stubble characteristics and FAR. Marandu accumulated more leaf in the stubble than other grasses, resulting in greater residual leaf area index, but it did not increase FAR. Under less favorable growth conditions, grasses increased stubble herbage mass (SHM). More productive grasses generally present greater SHM and leaf mass, indicating that stubble characteristics play an important role in the regrowth of brachiariagrasses.

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Spatial variation of grassland canopy affects soil wetting patterns and preferential flow

Demir

Michalzik

Filipzik

et al. 2022

Hydrological Processes

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Canopies shape net precipitation patterns, which are spatially heterogeneous and control soil moisture response to rainfall. The vast majority of studies on canopy water fluxes were conducted in forests. In contrast, grassland canopies are often assumed to be spatially homogeneous, therefore likely not inducing patches of heterogeneity at and below the soil surface. However, some studies on short‐structured vegetation, such as grasslands, proposed the importance of canopy‐induced heterogeneity for net precipitation. Still, systematic investigations on the effects on soil wetting patterns are missing. Therefore, in this study, we investigated soil moisture response to rainfall in a managed temperate grassland by exploring the individual impacts of spatially varying throughfall, vegetation height, and antecedent soil moisture status on the soil wetting patterns. We applied linear mixed effects models to disentangle the role of grassland canopy versus abiotic drivers. The spatial average soil water response showed diminishing water amounts stored in the upper parts of the soil as the growing season progressed and the soils dried, indicating bypass flow. Spatial variation of grass height was a significant driver of soil wetting patterns along with precipitation and antecedent soil moisture status. Soil wetting was suppressed in locations with tall canopies, although surprisingly, this was not directly related to throughfall patterns. Instead, our results suggest that seasonally drier conditions and the spatial difference in grass development amplify fast flow processes. Ultimately, our results confirm that spatial variation of the canopy affects soil moisture wetting patterns not only in forests but indicate a strong influence of preferential flow on soil water patterns in managed grassland as well.

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Canopy structural variations affect the relationship between height and light interception in Guinea Grass

Cited by 10 publications

References 42 publications

Agrometeorological and Agronomic Characterization of Megathyrsus Grasses Cultivated in Tropical Humid and Semi-Arid Conditions: A Multivariate Approach

Agrometeorological and Agronomic Characterization of Megathyrsus Grasses Cultivated in Tropical Humid and Semi-Arid Conditions: A Multivariate Approach

Regrowth of brachiariagrasses as related to stubble characteristics under N fertilization and irrigation

Spatial variation of grassland canopy affects soil wetting patterns and preferential flow

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