Realtionship between Yield and Yield Contributing Traits in Sugarcane (Saccharum officinarum L.)

Panhwar, R. N.; Keerio, H. K.; Khan, Mubashir Ahmed; Rajpute, Muhammad Aslam; Unar, G. S.; Mastoi, Muhammad Ishaq; Chohan, Muhammad; Soomro, Abdul Fatah; Keerio, Allah Rakhio

doi:10.3923/jas.2003.97.99

Cited by 6 publications

(1 citation statement)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Fresh biomass weight is an important yield attribute to both juice yield, sugar content and ethanol production. According to Panhwar et al (2003) it has a positive correlation with yield and other related traits.…”

Section: Resultsmentioning

confidence: 99%

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

Udoh¹,

Rasmussen²,

Jacobsen³

et al. 2018

JAS

View full text Add to dashboard Cite

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×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.

show abstract

Section: Resultsmentioning

confidence: 99%

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

Udoh¹,

Rasmussen²,

Jacobsen³

et al. 2018

JAS

View full text Add to dashboard Cite

show abstract

From sugar industry to cane industry: investigations on multivariate data analysis techniques in the identification of different high biomass sugarcane varieties

et al. 2012

View full text Add to dashboard Cite

Apart from sugar production, the sugarcane plant is now viewed as a high value lowcost feedstock for renewable energy. However, in depth studies on the biomass potential of the crop are relatively new and current varieties have not been optimised to achieve the required high biomass yield for different end-uses. The objective of this study was to examine the possibility of using multivariate data analysis (MVDA) techniques in the selection of different types of high biomass canes. Sixty genotypes of different generations of crosses were evaluated for 18 inter-related traits. Principal component analysis compressed the different characters into five major principal components (PCs). The first two explained 77 % of total variation. PC1 emphasised on the cane quality traits while PC2 stressed on biomass characteristics. The biplot with the two PCs was very helpful in visualising the existing variations in the population. Cluster analysis defined six major groups in the population. Candidates from three of them were found suitable for commercial exploitation, for either sugar, fibre, or both as the main end-products. The MVDA techniques were thus found to be very effective in assessing the extent of genetic divergence between genotypes in the population and in the selection of different types of high biomass canes for multipurpose use. It was also clear that sucrose content was positively associated with cane diameter while high fibre varieties tended to be thinner and taller than the traditional commercial varieties.

show abstract

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

Rono

Cheruiyot

Othira

et al. 2016

The Scientific World Journal

View full text Add to dashboard Cite

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.

show abstract

Realtionship between Yield and Yield Contributing Traits in Sugarcane (Saccharum officinarum L.)

Cited by 6 publications

References 2 publications

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

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

From sugar industry to cane industry: investigations on multivariate data analysis techniques in the identification of different high biomass sugarcane varieties

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

Contact Info

Product

Resources

About