scholarly journals Adaptability and Stability Study of Selected Sweet Sorghum Genotypes for Ethanol Production under Different Environments Using AMMI Analysis and GGE Biplots

2016 ◽  
Vol 2016 ◽  
pp. 1-14 ◽  
Author(s):  
Justice Kipkorir Rono ◽  
Erick Kimutai Cheruiyot ◽  
Jacktone Odongo Othira ◽  
Virginia Wanjiku Njuguna ◽  
Joseph Kinyoro Macharia ◽  
...  
Keyword(s):  
Sweet Sorghum ◽  
Ethanol Yield ◽  
Block Design ◽  
Cane Yield ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Genotype By Environment ◽  
Cane Juice ◽  
Juice Yield ◽  
Sorghum Genotypes

The genotype and environment interaction influences the selection criteria of sorghum (Sorghum bicolor) genotypes. Eight sweet sorghum genotypes were evaluated at five different locations in two growing seasons of 2014. The aim was to determine the interaction between genotype and environment on cane, juice, and ethanol yield and to identify best genotypes for bioethanol production in Kenya. The experiments were conducted in a randomized complete block design replicated three times. Sorghum canes were harvested at hard dough stage of grain development and passed through rollers to obtain juice that was then fermented to obtain ethanol. Cane, juice, and ethanol yield was analyzed using the additive main effect and multiplication interaction model (AMMI) and genotype plus genotype by environment (GGE) biplot. The combined analysis of variance of cane and juice yield of sorghum genotypes showed that sweet sorghum genotypes were significantly (P<0.05) affected by environments (E), genotypes (G) and genotype by environment interaction (GEI). GGE biplot showed high yielding genotypes EUSS10, ACFC003/12, SS14, and EUSS11 for cane yield; EUSS10, EUSS11, and SS14 for juice yield; and EUSS10, SS04, SS14, and ACFC003/12 for ethanol yield. Genotype SS14 showed high general adaptability for cane, juice, and ethanol yield.

scholarly journals Bio-Fuel Potential of Some Sweet Sorghum Genotypes [Sorghum bicolor (L.) Moench ssp. saccharatum]

2020 ◽  
pp. 15-22
Author(s):  
Ayse Gulgun Oktem ◽  
Abdullah Oktem ◽  
Timucin Tas ◽  
Celal Yucel
Keyword(s):  
Sweet Sorghum ◽  
Ethanol Yield ◽  
Renewable Energy Sources ◽  
Block Design ◽  
Sugar Yield ◽  
Energy Sources ◽  
Juice Yield ◽  
Stalk Yield ◽  
Sorghum Genotypes ◽  
Theoretical Ethanol Yield

The fossil energy sources used in the world are gradually decreasing and limited. Fossil fuels cause environmental pollution, and the unit price is constantly increasing. For this reason, demand for cheaper and renewable energy sources that do not pollute the environment is increasing day by day. The sweet sorghum plant has attracted attention in recent years with its high biomass yield, sugar content and bioethanol yield. In this study, it was aimed to determine the bio-fuel potential of some sweet sorghum genotypes in semi-arid climatic conditions. The experiment was set up in randomized complete block design with 4 replicates. Research was carried out in 2015 under Harran Plain (36o 42’ N and 38o 58’ E) second crop conditions, Sanliurfa, Turkey. In the study 49 genotypes of sweet sorghum were used. Stalk yield, juice yield, syrup yield, brix, sugar yield and theoretical ethanol yield were determined in the study. Significant differences were found between the genotypes for tested characteristics (P≤0.01). Stalk yield ranged from 7110.0 kg da-1 to 24262.5 da-1, juice yield from 2550.0 L da-1 to 12187.5 L da-1, syrup yield from 291.4 L da-1 to 2242.5 L da-1. Also, brix value varied between %7.0 and %18.87, sugar yield between 247.7 da-1 and 1906.1 da-1, Theoretical ethanol yield between 131.9 L da-1 and 1014.8 L da-1. Considering to stalk yield, juice and syrup yield, brix, sugar yield and theoretical ethanol yield; Nebraska sugar, Topper 76, Smith, M81E and Corina genotypes were found as the best. As a result of research, 21 genotypes with better performance than the others were selected for further studies.

scholarly journals The Potential of Ethanol Production from Sweet Sorghum in Sub-Saharan Africa as Affected by Variety and Sowing Time

2021 ◽  
pp. 1-16
Author(s):  
Maarouf I. Mohammed ◽  
Salma I. Abdalbagi
Keyword(s):  
Ethanol Production ◽  
Sweet Sorghum ◽  
Ethanol Yield ◽  
Economic Feasibility ◽  
Sub Saharan Africa ◽  
Cane Yield ◽  
Sowing Time ◽  
Cane Juice ◽  
Juice Yield ◽  
Sub Saharan

Renewable bio-energy is receiving worldwide importance in view of depleting fossil energy. Research works on sorghum as bio-fuel crop in sub-Saharan Africa are meager. The study aimed to investigate the potential of sweet sorghum for ethanol production from stem-juice. The experiment was conducted in Sudan, Khartoum State, during 2016-2017. Forty local and exotic sweet sorghum varieties arranged in RCB Design were investigated under irrigated conditions across three sowing times. Yields of cane, juice, sugar, ethanol and related attributes were studied. Highly significant differences (P=.01) were detected among varieties and interaction with sowing time. Ethanol yield potentials for some varieties were comparable to those reported in India and USA (1162-1416 L ha-1). High brix values (20-22%) and cane yields (45-51 ha-1) were encountered. Juice yield was low (3673-13743 L ha-1) probably due to reduced milling efficiency. The exotic materials performed better than the local ones in theoretical ethanol productivity and related attributes other than cane yield. Eight exotic and five local varieties were recommended for ethanol production. None of the Ankolib materials appeared to have notable potential for ethanol production. Interaction of sowing time with variety has great impact on ethanol yield implying the importance of variety option for different sowing times. It was concluded that the study furnished basic data needed for assessing the economic feasibility of ethanol production from irrigated sweet sorghum in sub-Saharan Africa-Sudan.

Evaluation of sugarcane genotypes with respect to sucrose yield across three crop cycles using GGE biplot analysis

2021 ◽  
pp. 1-13
Author(s):  
Aliya Momotaz ◽  
Per H. McCord ◽  
R. Wayne Davidson ◽  
Duli Zhao ◽  
Miguel Baltazar ◽  
...  
Keyword(s):  
Block Design ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Genotype By Environment ◽  
Biplot Analysis ◽  
Genotype Environment Interaction ◽  
Area 5 ◽  
Randomized Complete Block Design ◽  
Main Effects

Summary The experiment was carried out in three crop cycles as plant cane, first ratoon, and second ratoon at five locations on Florida muck soils (histosols) to evaluate the genotypes, test locations, and identify the superior and stable sugarcane genotypes. There were 13 sugarcane genotypes along with three commercial cultivars as checks included in this study. Five locations were considered as environments to analyze genotype-by-environment interaction (GEI) in 13 genotypes in three crop cycles. The sugarcane genotypes were planted in a randomized complete block design with six replications at each location. Performance was measured by the traits of sucrose yield tons per hectare (SY) and commercial recoverable sugar (CRS) in kilograms of sugar per ton of cane. The data were subjected to genotype main effects and genotype × environment interaction (GGE) analyses. The results showed significant effects for genotype (G), locations (E), and G × E (genotype × environment interaction) with respect to both traits. The GGE biplot analysis showed that the sugarcane genotype CP 12-1417 was high yielding and stable in terms of sucrose yield. The most discriminating and non-representative locations were Knight Farm (KN) for both SY and CRS. For sucrose yield only, the most discriminating and non-representative locations were Knight Farm (KN), Duda and Sons, Inc. USSC, Area 5 (A5), and Okeelanta (OK).

QUALIDADE INDUSTRIAL E RENDIMENTO DE ETANOL DE GENÓTIPOS DE SORGO SACARINO EM PLANTA E REBROTA

2018 ◽  
Vol 17 (2) ◽  
pp. 216
Author(s):  
TASSIANO MAXWELL MARINHO CÂMARA ◽  
RAFAEL AUGUSTO DA COSTA PARRELLA ◽  
HERÁCLITON DE ÉFESO DA SILVA
Keyword(s):  
Sorghum Bicolor ◽  
Sweet Sorghum ◽  
Ethanol Yield ◽  
Block Design ◽  
Production Costs ◽  
Randomized Block Design ◽  
Ethanol Yields ◽  
Sorghum Genotypes ◽  
Industrial Yield ◽  
Lower Production

 RESUMO - O rendimento de cultivares de sorgo sacarino em planta de primeiro corte e na rebrota tem sido estudado para viabilizar o cultivo com menores custos de produção. Entretanto, dados qualitativos sobre a qualidade de caldo e rendimento de etanol entre safra principal e rebrota são escassos. Objetivou-se com este trabalho comparar genótipos de sorgo sacarino quanto à qualidade industrial e avaliar o efeito do tipo de colheita e biomassa processada no rendimento industrial para produção de etanol. Foi conduzido um experimento em blocos ao acaso com três repetições em esquema de parcela subdividida, sendo as parcelas constituídas por 20 genótipos de sorgo e as subparcelas pelos tipos de amostras processadas ou colheitas realizadas. Os maiores rendimentos de etanol, em termos absolutos, foram obtidos para CMSXS646 e BRS 511 na colheita de primeiro corte com colmos limpos. A utilização de colmos limpos promoveu, em média, um incremento de 13,5, 14,2, 13,4, 3,3, 7,9, 7,0, 8,0 e 16,4% para etanol, ART, ATR, umidade, ARC, Pol, °Brix, quantidade de caldo, respectivamente, e redução de 17,3% para fibra, em relação às amostras de colmos com folhas. O rendimento médio de etanol por tonelada de caldo extraído foi 28% superior no primeiro corte comparativamente à rebrota.Palavras-chave: Bioenergia, biomassa, °Brix, Sorghum bicolor.  INDUSTRIAL QUALITY AND ETHANOL YIELD OF SWEET SORGHUM GENOTYPES IN MAIN AND RATOON CROPS  ABSTRACT - The yield of sweet sorghum cultivars in first cut and ratoon crops have been studied to enable the cultivation with lower production costs. However, qualitative data on broth quality and yield of ethanol on main crop and ratoon are scarce. The aim of this work was to compare sweet sorghum genotypes regarding the industrial quality and to evaluate the effects of harvests and processed biomass types in the industrial yield for ethanol production. A randomized block design experiment was carried out with three replicates in a split plot design, being the plots composed by 20 sorghum genotypes and the subplots by the types of processed samples or harvests. The highest ethanol yields, in absolute terms, were obtained for CMSXS646 and BRS 511 in first cut with clean stalks. The use of clean stalks promoted, on average, an increase of 13.5, 14.2, 13.4, 3.3, 7.9, 7.0, 8.0 and 16.4% for ethanol, ART, ATR, moisture, ARC, Pol, ° Brix, juice amount, respectively, and reduction of 17.3% for fiber, in relation to samples with stalks and leafs. The average yield of ethanol per extracted juice ton was 28% higher in first cut compared to ratoon.Keywords: bioenergy, biomass, °Brix, Sorghum bicolor.

scholarly journals Cane Yield and Juice Volume Determine Ethanol Yield in Sweet Sorghum (Sorghum bicolor L. Moench)

2018 ◽  
Vol 1 (2) ◽  
pp. p29 ◽  
Author(s):  
Justice K. Rono ◽  
Erick K. Cheruiyot ◽  
Jacktone O. Othira ◽  
Virginia W. Njuguna
Keyword(s):  
Sorghum Bicolor ◽  
Plant Height ◽  
Sweet Sorghum ◽  
Ethanol Yield ◽  
Block Design ◽  
Morphological Characters ◽  
Sugar Concentration ◽  
Cane Yield ◽  
Production Traits ◽  
Sorghum Bicolor L

Sweet sorghum (Sorghum bicolor L. Moench) contains fermentable sugars in the stem that can be converted to ethanol. The current study aimed at evaluating the performance of three sweet sorghum genotypes with five checks and contributes towards availing suitable sweet sorghum for industrial ethanol production. Field studies were carried out in Kenya at varied locations in a randomized complete block design with three replications. Sorghum was harvested at hard dough stage of grain development and evaluated for several stem juice production traits including plant height, cane yield, juice volume, degrees Brix, total, reducing, and non-reducing sugars, and ethanol yield via juice fermentation. Analyses of variance using SAS version 9.1 showed a significant effect of genotype for morphological characters and ethanol yield. Genotype EUSS10 produced the greatest cane (27.4 T/ha) and juice yield (7806.7 L/ha) whereas ACFC003/12 recorded the greatest ethanol yield (423.1 L/ha). At all sites, EUSS10 had the greatest plant height and days to 50% heading whereas SS04 had the greatest Brix and total sugar concentration. The greatest grain yield and non-reducing sugar concentration was produced by SS17 and SS21, respectively. Results of this study show that though Brix and total sugars are desirable for ethanol yield, cane yield, and juice volume of sweet sorghum determines the ultimate volume of ethanol produced.

scholarly journals Analysis of Genotype by Environment Interaction on Cocoa Hybrids (Theobroma cacao L.) Resistance to Phytophthora Pod Rot

2016 ◽  
Vol 32 (3) ◽  
pp. 162-170
Author(s):  
Agung Wahyu Soesilo ◽  
Indah Anita Sari ◽  
Bayu Setyawan
Keyword(s):  
Block Design ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Genotype By Environment ◽  
Experimental Station ◽  
Stability Performance ◽  
Stable Performance ◽  
Wet Climate ◽  
The Stability

Phenomenon of genotype by environment interaction was able to influence the stability performance of cocoa resistance to Phytophthora pod rot (PPR). This research had an objective to evaluate the effect of genotype by environment interaction on resistance of cocoa hybrids to PPR. The tested hybrids were F1 crosses between selected clones of TSH 858, Sulawesi 1, Sulawesi 2, NIC 7, ICS 13, KEE 2 and KW 165. There were 14 tested hybrids and an open pollinated hybrid of ICS 60 x Sca 12 was used as control in multilocation trials at four different agroclimatic locations, namely Jatirono Estate ((highland-wet climate), Kalitelepak Estate (lowland-wet climate), Kaliwining Experimental Station (low land-dry climate) and Sumber Asin Experimental Station (highland-dry climate). Trials were established in the randomized complete block design with four replications. Resistance to PPR were evaluated based on the percentage of infected pod for the years during wet climate of 2010 in Jatirono, Kalitelepak and Kaliwining followed in dry climate of 2011–2015 in Kaliwining and Sumber Asin. Variance of data were analyzed for detecting the effect of genotype by environment interaction (GxE) then visualized with a graph of genotype main effect and genotype by environment interaction (a graph of GGE) biplot. There was consistently no interaction effect between hybrid and location to PPR incidence which was affected by single factor of hybrid, year, location and interaction between year and location. The effect of year indicated yearly change of weather was more important to PPR incidence than location difference. A graph of GGE biplot indicated a stable performance of the tested hybrids among locations.

scholarly journals AMMI and GGE Biplot Analysis for Stability of Yield in Mid-early Pigeonpea [Cajanus cajan (L.) Millspaugh] Genotypes

2022 ◽  
Author(s):  
P. Jagan Mohan Rao ◽  
N. Sandhyakishore ◽  
S. Sandeep ◽  
G. Neelima ◽  
A. Saritha ◽  
...  
Keyword(s):  
Block Design ◽  
High Yield ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Genotype By Environment ◽  
Genotype Environment Interaction ◽  
Single Location ◽  
Randomized Complete Block Design ◽  
Advanced Stages ◽  
Superior Genotypes

Background: The genotype × environment interaction greatly influences the success of breeding and in multi-location trials complicates the identification of superior genotypes for a single location, due to magnitude of genotype by location interaction are often greater than genotype by year interaction. This necessitates genotype evaluation in multi environments trials in the advanced stages of selection. Methods: Nine elite pigeonpea genotypes of mid-early duration were evaluated in six diverse locations in randomized complete block design with three replications during kharif, 2019 to ascertain the stable genotypes, environments discrimination and genotype by environment crossovers using AMMI and GGE biplot stability models. Result: The results in the present investigation revealed that first two principal components explained 73.4% of variation interaction, while, 80.50% in GGE biplot. Both the models identified WRGE-126 (G6) as stable performer with high yield (1733 kg ha-1) and among the locations Tandur (E1) measured as the ideal environment. Whereas, the environments, Adilabad (E3) and Warangal (E4) were observed representative with better discriminating ability.

scholarly journals Effect of Harvesting Stage on Sweet Sorghum (Sorghum bicolor L.) Genotypes in Western Kenya

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Moses Owuor Oyier ◽  
James O. Owuoche ◽  
Maurice E. Oyoo ◽  
Erick Cheruiyot ◽  
Betty Mulianga ◽  
...  
Keyword(s):  
Sorghum Bicolor ◽  
Sweet Sorghum ◽  
Block Design ◽  
Cane Yield ◽  
Western Kenya ◽  
Randomized Complete Block Design ◽  
Sorghum Genotypes ◽  
Harvesting Stage ◽  
Sorghum Bicolor L ◽  
Days After Anthesis

Harvesting stage of sweet sorghum (Sorghum bicolor L. Moench) cane is an important aspect in the content of sugar for production of industrial alcohol. Four sweet sorghum genotypes were evaluated for harvesting stage in a randomized complete block design. In order to determine sorghum harvest growth stage for bioethanol production, sorghum canes were harvested at intervals of seven days after anthesis. The genotypes were evaluated at different stages of development for maximum production of bioethanol from flowering to physiological maturity. The canes were crushed and juice fermented to produce ethanol. Measurements of chlorophyll were taken at various stages as well as panicles from the harvested canes. Dried kernels at 14% moisture content were also weighed at various stages. Chlorophyll, grain weight, absolute ethanol volume, juice volume, cane yield, and brix showed significant (p=0.05) differences for genotypes as well as the stages of harvesting. Results from this study showed that harvesting sweet sorghum at stages IV and V (104 to 117 days after planting) would be appropriate for production of kernels and ethanol. EUSS10 has the highest ethanol potential (1062.78 l ha−1) due to excellent juice volume (22976.9 l ha−1) and EUSS11 (985.26 l ha−1) due to its high brix (16.21).

scholarly journals Yield Stability of Sweet Sorghum Genotypes for Bioenergy Production Under Contrasting Temperate and Tropical Environments

2018 ◽  
Vol 10 (12) ◽  
pp. 42
Author(s):  
Diana-Abasi Udoh ◽  
Søren K. Rasmussen ◽  
Sven-Erik Jacobsen ◽  
Godfrey A. Iwo ◽  
Walter de Milliano
Keyword(s):  
Grain Yield ◽  
Analysis Of Variance ◽  
Sweet Sorghum ◽  
Block Design ◽  
Yield Stability ◽  
Biofuel Production ◽  
Environment Interaction ◽  
Yield Attributes ◽  
Fresh Biomass ◽  
Sorghum Genotypes

Forty-three sweet sorghum accessions were grown in two contrasting environments; Nigeria (tropical environment) and Denmark (temperate environment). The objectives were to determine the interaction between genotype and environment on grain yield, fresh biomass and stem sugar, and to assess yield stability of sweet sorghum and identify the best genotypes for biofuel production. The sweet sorghum originating from a Dutch and ICRISAT collection was grown in randomized complete block design in three replicates for two years (2014 and 2015). The combined analysis of variance of the sweet sorghum genotypes in two years over the two contrasting environments revealed that year (Y), genotype (G), environment (E) and genotype by environment interaction (GEI) were significant in the entire biofuel yield attributes obtained from both Dutch and ICRISAT collections except the degree of Brix and fresh biomass respectively across the year. The year and genotype interaction (Y&times;G) was not significant in all the biofuel attributes of Dutch accessions. Additive main effect and multiplicative interaction (AMMI) analysis of variance showed significant effect of G, E and the GEI. The AMMI was used to identify the best performing, adaptable and more stable genotypes. Twenty-two genotypes of both ICRISAT and Dutch accessions were identified to be stable across the two locations with respect to different biofuel attributes. Nine, seven, and six genotypes were found to be stable for grain yield, biomass yield and brix value, respectively. The best performing genotypes for stem sugar across locations were identified. From the available data collected, the performance of the sweet sorghum was attributed to both genetic and environmental effects. High GE was observed to influence stability, hence will influence the selection criteria of the sweet sorghum genotypes.

scholarly journals Evaluasi Stabilitas Hasil Jagung Hibrida Menggunakan Metode Genotype and Genotype by Environment Interaction Biplot (GGE BIPLOT)

2017 ◽  
Vol 1 (2) ◽  
pp. 97
Author(s):  
Slamet Bambang Priyanto ◽  
Roy Efendi ◽  
Bunyamin Z. ◽  
M. Azrai ◽  
M. Syakir
Keyword(s):  
Grain Yield ◽  
Block Design ◽  
Genotype By Environment Interaction ◽  
Yield Stability ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Maize Hybrids ◽  
Genotype By Environment ◽  
North Sulawesi ◽  
South Sulawesi

<p class="Abstrak">Visualization of GGE biplot analyses was able to explain the genotype by environment interaction. This research was aimed to determine the yield stability of promising experimental maize hybrids in eight locations based GGE biplot method. Ten promising experimental maize hybrids and two commercial hybrid varieties as check, namely: HBSTK01, HBSTK03, HBSTK05, HBSTK06, HBSTK07, HBSTK08, HBSTK09, HBSTK10, HBSTK11, HBSTK13 and Bima 16 and Pertiwi 3 were evaluated in eight locations, ie. Bangka (Bangka Belitung), Probolinggo (East Java), Minahasa Utara (North Sulawesi), Donggala (Central Sulawesi), Soppeng, South Sulawesi, Gowa (South Sulawesi, Konawe (Southeast Sulawesi)and Lombok Barat (West Nusa Tenggara) from May to October 2013. The treatments were arranged in a randomized complete block design (RCBD) with 3 replications. Variable measured was grain yield. Analysis of variance was performed for data from each study site, to determine the performance of each genotype at each location. Yield stability analysis was performed by GGE biplot method using PB tools software. Results showed that genotype H9 (HBSTK11) had the highest biological stability with grain yield of 10.37 t/ha, higer than the overall mean yield. The best hybrid with the highest yield and good stability was hybrid H6 (HBSTK08) of 11.08 t/ha. This experimental hybrid is considered potential to be released as new hybrid variety. North Minahasa is considered the most suitable location for testing, whereas Konawe and West Lombok are least suitable, compared with the other locations.</p>

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