The Effect of Planting Material on Nutrient Quality and Production of Brachiaria spp. in Yogyakarta, Indonesia

Umami, Nafiatul; Widodo, Slamet; Suhartanto, Bambang; Suwignyo, Bambang; Suseno, Nilo; Noviandi, Cuk Tri

doi:10.3923/pjn.2018.671.676

Cited by 5 publications

(5 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is estimated that grazing areas in Brazil accounted for 149.670.217 ha in 2017, and about 80 % is cultivated with Brachiaria. In Africa, a natural region of Brachiaria brizantha, this grass produces approximately 40 t/ha/year [11,12]. Brachiaria brizantha grows well in the tropics and subtropics and shows a high photosynthetic efficiency (C4 plant), i.e., it has a high capacity for transforming solar energy into biomass.…”

Section: Introductionmentioning

confidence: 99%

Brachiaria brizantha Grass as a Feedstock for Ethanol Production

Rodrigues

Almeida

Maitan-Alfenas

et al. 2021

Braz. arch. biol. technol.

View full text Add to dashboard Cite

Different lignocellulosic biomasses are found worldwide and each country has its own important industrial crop that can be converted into high-value products, such as ethanol. Therefore, evaluation of new biomasses to be used in biorefineries is important to decrease the dependence on non-renewable resources and to guarantee sustainable development. This work evaluated Brachiaria brizantha, a grass commonly used as animal forage, and the standard biomass for 2G-ethanol, sugarcane bagasse. The chemical compositions of both biomasses were determined and different times and temperature of acid pretreatment were tested. Morphological analysis via scanning electron microscopy showed more deconstructed fibers after harsher biomass pretreatments. Simultaneous saccharification and fermentation of pretreated Brachiaria brizantha presented higher efficiency than when using sugarcane bagasse as the carbon source. A biomass conversion of 46 % was achieved when Brachiaria brizantha grass was pretreated with 2% sulfuric acid for 60 minutes. Moreover, fermentation was not impaired by the inhibitors furfural and hydroxymethylfurfural. It was concluded that Brachiaria brizantha is a promising biomass for ethanol production.

show abstract

Section: Introductionmentioning

confidence: 99%

Brachiaria brizantha Grass as a Feedstock for Ethanol Production

Rodrigues

Almeida

Maitan-Alfenas

et al. 2021

Braz. arch. biol. technol.

View full text Add to dashboard Cite

show abstract

“…There are different sowing methods for establishing forage fields or pastures including open pits (sowing in rows), continuous rows planting, seed broadcasting, and vegetative propagation, all common planting methods in West Africa (Messager, 1984). Depending on specific regions, climate conditions, soil fertility and characteristics, and different planting methods (including row spacing and seed density) are used for establishing forage fields, either for grazing, cut‐and‐carry, and conserved forages such as hay or haylage (Adjolohoun et al., 2013; CERCI, 1983; Cesar et al., 1999; Messager, 1984; Umami, Widodo, et al., 2018). In this study, open pits method provided greater herbage mass in the second harvest and in total herbage accumulation, as well as greater forage nutritive value in establishment year, compared to continuous row planting method.…”

Section: Discussionmentioning

confidence: 99%

Herbage accumulation and nutritive value of cultivar Mulato II, Congo grass, and Guinea grass cultivar C1 in a subhumid zone of West Africa

et al. 2021

View full text Add to dashboard Cite

Despite a long history promoting improved forages, their adoption in sub‐Saharan Africa remains limited. Identifying cultivars and developing the right agronomic practices suited to specific forage systems can help reduce the feed gap in this region. This 2‐yr study was performed under rainfed conditions at the Institute of Environment and Agricultural Research research station in Farakoba, Burkina Faso. Treatments included two planting methods (continuous rows 40‐cm apart vs. open pits spaced 40 × 40 cm) and three perennial grasses: Urochloa spp. cultivar Mulato II, Congo grass [U. ruziziensis (R. Germ. and C.M. Evrard) Crins] and Guinea grass [Megathyrsus maximus (Jacq.) B.K. Simon & S.W.L. Jacobs] cultivar C1. The experimental design was a randomized complete block under a split plot treatment arrangement, and planting method was the main plot (3 × 7 m) and the grass varieties the subplots (3 × 3 m). Plots were established in August 2018, and herbage accumulation (HA) and nutritive value (NV) were measured in 2018 and 2019. Regardless of planting method, Mulato II had greater total herbage mass (26 Mg ha–1) after 2 yr than did Congo grass (15 Mg ha–1) and cultivar C1 (12 Mg ha–1) (p ≤ .05). Mulato II had the greatest crude protein (170 g kg–1), in vitro digestible organic matter (635 g kg–1), and metabolizable energy (89 MJ kg–1), and least neutral detergent fiber (537 g kg–1) concentrations, as compared to other cultivars (p ≤ .05). Both HA and NV were greater (p ≤ .001) for open pits spaced 40‐cm apart than the continuous rows for all cultivars, indicating that this planting method seems more appropriate to establish forage grasses. Mulato II showed potential to increase forage productivity and NV in Burkina Faso.

show abstract

“…Nonetheless, the ADL presented the lowest coefficient (r = +0.7518) among all analytes studied. 0.9314 <0.0001 1 Pearson's correlation coefficient; 2 In vitro dry matter digestibility; 3 In vitro neutral detergent fiber digestibility.…”

Section: Correlation Between Srm and Nirs Methodsmentioning

confidence: 99%

“…As fresh pasture, the superior nutritional quality of Urochloa spp. grasses is the primary goal of farmers to reach high profitability in their business [2,3]. However, the forage quality varies through biotic and abiotic factors including nutrient availability, stage of maturity, topography, and climatic conditions [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

“…Transformations;2 Principal Components-number of factors; 3 Sample number;4 Qualitative calibration; 5 Standard error of calibration; 6 Standard error of prediction;7 Correlation;8 Coefficient of determination; 9 Systematic error;10 Standard deviation;11 Normalization between 0 and 1 Multiplicative scatter correction full;12 First derivative;13 Smoothing with 3 points;14 Second derivative;15 Standard normal variate.…”

mentioning

confidence: 99%

See 1 more Smart Citation

Assessing the Repeatability and Reliability of NIRS to Predict Nutritional Values and to Evaluate Two Lignin Methods in Urochloa spp. Grasses

Guimarães,

da Silva,

Picchi

et al. 2023

Grasses

View full text Add to dashboard Cite

Reliable forage analysis is crucial for proper ration formulation of ruminant herds. Through its fast, inexpensive, and non-destructive procedures, near-infrared spectroscopy (NIRS) has become a valuable method for forage evaluating. Notwithstanding, NIRS needs calibration before routine analysis. In addition, to evaluate the best method for lignin quantification in Urochloa spp. grasses is crucial under a digestibility perspective in grass-fed ruminant production. The aims of this study were to use 149 samples from different Urochloa species to develop NIRS calibration curves (partial least squares regressions) for acid detergent lignin (ADL), acetyl bromide lignin (ABL), as well as for ash, cell wall (CW), neutral detergent fiber (NDF), acid detergent fiber (ADF), in vitro DM digestibility (IVDMD), and in vitro NDF digestibility (IVNDFD). Moreover, the aim of this study was to correlate the in vitro digestibility with lignin quantification methods: ADL and ABL. Near-infrared spectroscopy showed potential for the quantification of Urochloa spp. properties, such as lignin contents (ADL and ABL) and ash, CW, NDF, ADF, IVDMD, and IVNDFD. However, calibrations performed using NIRS to measure ADF, ADL, IVDMD, and IVNDFD need to be thought about with caution before their utilization as a routine analysis for determining the potential for nutrient measurement and digestibility of Urochloa spp. grasses. In addition, the ABL method used for lignin quantification was better correlated with IVDMD and IVNDFD than the ADL method.

show abstract

The Effect of Planting Material on Nutrient Quality and Production of Brachiaria spp. in Yogyakarta, Indonesia

Cited by 5 publications

References 5 publications

Brachiaria brizantha Grass as a Feedstock for Ethanol Production

Brachiaria brizantha Grass as a Feedstock for Ethanol Production

Herbage accumulation and nutritive value of cultivar Mulato II, Congo grass, and Guinea grass cultivar C1 in a subhumid zone of West Africa

Assessing the Repeatability and Reliability of NIRS to Predict Nutritional Values and to Evaluate Two Lignin Methods in Urochloa spp. Grasses

Contact Info

Product

Resources

About