Pasto Certo® version 2.0 - An application about Brazilian tropical forage cultivars for mobile and desktop devices

Barrios, S. C. L.; Carromeu, Camilo; Silva, Márcio Aparecido Inácio da; Matsubara, Edson Takashi; Valle, Cacilda Borges do; Jank, Liana; Santos, M. F.; Assis, G. M. L. de; Crivellaro, Leonardo Lazarino; Gonçalves, Thallyson Danchen Teixeira; Júnior, José Marcos Queiroz; Cândido, Ana Carina da Silva; Machado, Wyverson Kim Rocha; Gouveia, Beatriz Tomé; Nobre, Alana Aparecida Amarilha; Zanella, Ayhan Liell

doi:10.17138/tgft(8)162-166

Cited by 2 publications

(3 citation statements)

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“…(e) The fertility requirements and nutritional condition of the canopy associated with other abiotic factors (temperature, light, and precipitation) can cause fluctuations in dry matter accumulation in the forage canopy [68]. To assist Brazilian producers in understanding the specific characteristics of existing cultivars, Barrios et al [69] proposed an application called 'Pasto Certo ® ' (https://urlfr.ee/c1xxa, accessed on 3 January 2023). (f) From the analysis of Figure 1A, it is possible to observe that it is necessary to train models capable of predicting the daily accumulation rate of forage biomass and the ideal timing to initiate grazing in pastures with lower height and higher population density of tillers.…”

Section: Key Considerations To Be Considered In Studies Using Remote ...mentioning

confidence: 99%

Non-Destructive Methods Used to Determine Forage Mass and Nutritional Condition in Tropical Pastures

Fernandes,

Santos,

Gurgel

et al. 2023

AgriEngineering

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The quantification of forage availability in tropical grasses is generally done in a destructive and time-consuming manner, involving cutting, weighing, and waiting for drying. To expedite this process, non-destructive methods can be used, such as unmanned aerial vehicles (UAVs) equipped with high-definition cameras, mobile device images, and the use of the normalized difference vegetation index (NDVI). However, these methods have been underutilized in tropical pastures. A literature review was conducted to present the current state of remote tools’ use in predicting forage availability and quality in tropical pastures. Few publications address the use of non-destructive methods to estimate forage availability in major tropical grasses (Megathyrsus maximus; Urochloa spp.). Additionally, these studies do not consider the fertility requirements of each cultivar and the effect of management on the phenotypic plasticity of tillers. To obtain accurate estimates of forage availability and properly manage pastures, it is necessary to integrate remote methods with in situ collection of soil parameters. This way, it will be possible to train machine learning models to obtain precise and reliable estimates of forage availability for domestic ruminant production.

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Section: Key Considerations To Be Considered In Studies Using Remote ...mentioning

confidence: 99%

Non-Destructive Methods Used to Determine Forage Mass and Nutritional Condition in Tropical Pastures

Fernandes,

Santos,

Gurgel

et al. 2023

AgriEngineering

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“…However, when Congo grass is managed after the soybean crop, the forages produced exhibit impressive potential, with the ability to generate up to 407.97 kg ha −1 of carcass. Congo grass stands out due to its finer stems and shorter height compared to other types of grass, resulting in a lower deposition of fibrous fractions in the canopy [12]. This allows for greater availability of NFC and TDN, making it a valuable choice for deferred grazing and hay production.…”

Section: Perspectives For Milk and Carcass Production Using Hay From ...mentioning

confidence: 99%

“…Another grass option for hay production could be Quenia guinea grass (Megathyrsus maximus cv. BRS Quênia), which offers high dry matter digestibility and superior nutritional value compared to other cultivars of Megathyrsus maximus due to its higher leaf-to-stem ratio [12].…”

Section: Introductionmentioning

confidence: 99%

Optimal Time for Haymaking and Potential Production of Grass Hay on Soybean Overseeding in Brazilian Savanna

Fernandes,

Paim,

Santos

et al. 2023

Agronomy

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The objective of this research was to determine the potential for hay production of Quenia guinea grass (Megathyrsus maximus cv. BRS Quenia), Congo grass (Urochloa ruziziensis), and Xaraes palisade grass (Urochloa brizantha cv. Xaraes) following soybean cultivation (Glycine max) in the Brazilian Cerrado. The experimental field was divided into 12 plots, with 4 replicates of each grass species. Chemical composition, forage mass (FM), and the potential for milk and carcass production were determined for the three grasses. Principal component analysis showed that the total digestible nutrients (TDN) had the most significant influence on milk and carcass potential. Quenia guinea grass reached maximum forage accumulation at 134 days after soybean harvest, representing 4191.51 kg ha−1 of FM. Congo grass and Xaraes palisade grass produced 4033.51 kg ha−1 and 4437.22 kg ha−1, respectively, in cuts made at 154 and 138 days. Quenia guinea grass had 20.71% soluble protein in its composition when harvested at 115 days. Regarding milk production potential, Congo grass, on the other hand, showed a linear reduction in milk production as the number of days after soybean harvest increased. As for carcass production potential, Congo grass demonstrated the highest carcass production potential (110.65 kg Mg−1 FM) at 107 cutting days. Xaraes palisade grass had the highest FM production, while Quenia guinea grass stood out in soluble protein. Conversely, Congo grass showed greater potential for hay production when overseeding in soybeans, as it excelled in carcass production potential. Therefore, for this grass, the ideal point for haymaking should occur within up to 107 days after sowing.

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Pasto Certo® version 2.0 - An application about Brazilian tropical forage cultivars for mobile and desktop devices

Cited by 2 publications

References 0 publications

Non-Destructive Methods Used to Determine Forage Mass and Nutritional Condition in Tropical Pastures

Non-Destructive Methods Used to Determine Forage Mass and Nutritional Condition in Tropical Pastures

Optimal Time for Haymaking and Potential Production of Grass Hay on Soybean Overseeding in Brazilian Savanna

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