Productivity, Nutrient Composition, and Hydrocyanic Acid Concentration of Super-2 Forage Sorghum at Different NPK Levels and Planting Spaces

Astuti, D.A.; Suhartanto, Bambang; Umami, Nafiatul; Irawan, Agung

doi:10.5398/tasj.2019.42.3.189

Cited by 6 publications

(5 citation statements)

References 21 publications

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“…Sorghum (Sorghum bicolor (L.) Moench) is a feed crop with potential for development in Indonesia because of its tolerance and adaptability to dry environments (Sajimin et al, 2017;Wahyono et al, 2019). Perazzo et al (2017) and Astuti et al (2019) report that because of its morpho-physiological adaptations to water stress, sorghum is an important forage source in arid and semiarid regions, as well as in environments with uneven distribution of rainfall.…”

Section: Introductionmentioning

confidence: 99%

Forage-Yield and Nutrient Quality of New Brown Midrib (BMR) Mutant Lines of Sorghum

Wahyono

Indriatama

Sasongko

et al. 2023

Trop. Anim. Sci. J.

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The objective of this study was to evaluate the yield, nutrient profile and in vitro digestibility of new BMR mutant lines of sorghum in Indonesia. These mutant lines were GH2.1, GH2.2, GH2.3, GH4.1, GH4.2, GH4.3 and GH4.4. One sorghum mutant line (CTY) and two national sorghum varieties (Super 1 and Bioguma) were also evaluated as controls. In vitro digestibility and rumen fermentation were measured using Ankom Daisy Fermenter and Hohenheim gas test methods, respectively. In vitro measurement consisted of ten treatments with five replications following a completely randomized design. The highest stem sugar content was found in Bioguma (11.22%) and GH4.4 (9.32%) (p<0.05). The Bioguma variety and the GH2.3 mutant line had a higher number of stem segments and fresh forage yield than the Super 1 variety (p<0.05). A greater concentration of crude protein (CP) was observed for the GH.2.1, GH2.2, GH2.3 and GH4.1 lines (p<0.05). The GH2.3 mutant line had the lowest acid detergent lignin (ADL) content (p<0.05), while Bioguma had the highest level of non-fibre carbohydrate (NFC) compounds (p<0.05). The highest relative feed value (RFV) was observed for the GH2.3 line (p<0.05). Furthermore, GH4.2 and GH2.3 had greater in vitro true digestibility (IVTD) (p<0.05) but were not significantly different from Bioguma. Regarding yield characteristics, nutrient composition and in vitro digestibility values, the highest values were found in the Bioguma variety and the GH2.3 mutant line. Except for n-valerate (nC5), significant differences in all rumen fermentation parameters were observed among sorghum cultivars (p<0.05). Regarding the interrelationship between parameters, we found a medium correlation of DMD with the ADL and cellulose content of sorghum forage (R 2 = -0.489 and R 2 = -0.674, respectively). Based on these findings, the GH2.3 BMR mutant line should be further developed as forage sorghum.

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Section: Introductionmentioning

confidence: 99%

Forage-Yield and Nutrient Quality of New Brown Midrib (BMR) Mutant Lines of Sorghum

Wahyono

Indriatama

Sasongko

et al. 2023

Trop. Anim. Sci. J.

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“…Examples in Africa of positive impacts of using fertilizers on sorghum yield include applications in Ethiopia (Bayu et al, 2006;Sebnie et al, 2020;Temeche et al, 2021), Senegal (Ganyo et al, 2019), and Ghana (Buah et al, 2012). The positive impact of the use of fertilizers extends also to sorghum's grain quality (Kaufman et al, 2013;Babiker, 2015;Nokerbekova et al, 2018;Astuti et al, 2019), and mitigating some abiotic stresses such as salinity stress (Zamani et al, 2020).…”

Section: Adequate Use Of Fertilizersmentioning

confidence: 99%

Assessment of global sorghum production, tolerance, and climate risk

Khalifa

Eltahir

2023

Front. Sustain. Food Syst.

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Some cereal crops can withstand harsh growing conditions, and, hence, can be considered an important line of defense against food shortage under climate change. Sorghum (Sorghum bicolor (L.) Monech) is the main food crop for millions of people, especially in sub-Saharan Africa and South Asia. This crop performs well under input constraints (e.g., limited water) and exhibits high resilience to adverse climate conditions (e.g., high temperature, drought, and waterlogging), making it a star crop for combating hunger under climate change. However, sorghum and other similar crops are not tolerant in absolute terms. Climate change could push the growing conditions of these crops beyond the limits they can tolerate, jeopardizing the food security of millions of people around the world. In this research, we analyzed the current status of sorghum production, trends, and factors controlling sorghum yield using empirical approaches. Especially in sub-Saharan Africa, this crop is cultivated widely under unfavorable climate conditions and sub-optimal input levels. Our findings raise multiple concerns as well as highlight opportunities for the sustainability of sorghum cultivation in a future with climate change. Sorghum yield seems to increase persistently despite global warming due to an improved inputs approach, offering hope that similar adaptation approaches can be fruitful, especially in sub-Saharan Africa. A combination of interventions including adequate use of fertilizers and technology adoption (e.g., tolerant cultivars), efficient management (e.g. improved irrigation), and better agronomic practices, is the key to boosting sorghum yield and ensuring the sustainability of this important crop under a warmer climate.

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“…Abdullah and Suharlina [1], an alternative source of high forage protein but at an economical cost is to combine the main feed with types of legumes such as sorghum. Sorghum has been introduced and cultivated in Indonesia, particularly in dry and marginal areas [2], and it is a universal multipurpose crop for food, fodder, and potential biofuel feedstock [3].…”

Section: Introductionmentioning

confidence: 99%

Estimation of biomass of forage sorghum (sorghum bicolor) Cv. Samurai-2 using support vector regression

Suradiradja¹,

Sitanggang²,

Abdullah³

et al. 2023

IJEECS

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One alternative to improve feed quality is to combine the main feed with forages which are more economical in cost but contain high protein sources, such as sorghum. Production estimation is essential because it will determine the sustainability of the feed. This study aimed to estimate the amount of sorghum production using support vector regression (SVR). Several stages of this research are collecting data, preprocessing, modelling, and evaluation. The dataset used and the input for this SVR algorithm model is field observation data. The kernels used in the SVR algorithm modelling are linear, Polynomial, and RBF. Sorghum production estimation using SVR has a performance evaluation value that refers to the root mean square error (RMSE). The result of this research is that the model obtained from the SVR algorithm can estimate sorghum production with performance evaluation values using R2, mean absolute error (MAE), mean absolute percentage error (MAPE), and RMSE. The best results on the Polynomial kernel are R2=0.7841, MAE=0.0681, MAPE=0.46641, and RMSE=0.1006. This study shows that the classification model obtained from the SVR algorithm with Kernel Polynomial is the best model for estimating sorghum production.

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Productivity, Nutrient Composition, and Hydrocyanic Acid Concentration of Super-2 Forage Sorghum at Different NPK Levels and Planting Spaces

Cited by 6 publications

References 21 publications

Forage-Yield and Nutrient Quality of New Brown Midrib (BMR) Mutant Lines of Sorghum

Forage-Yield and Nutrient Quality of New Brown Midrib (BMR) Mutant Lines of Sorghum

Assessment of global sorghum production, tolerance, and climate risk

Estimation of biomass of forage sorghum (sorghum bicolor) Cv. Samurai-2 using support vector regression

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