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

Joint Authors

Rono, Justice Kipkorir
Cheruiyot, Erick Kimutai
Othira, Jacktone Odongo
Njuguna, Virginia Wanjiku
Macharia, Joseph Kinyoro
Owuoche, James
Oyier, Moses
Kange, Alex Machio

Source

The Scientific World Journal

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-14, 14 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-09-29

Country of Publication

Egypt

No. of Pages

14

Main Subjects

Medicine
Information Technology and Computer Science

Abstract EN

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.

American Psychological Association (APA)

Rono, Justice Kipkorir& Cheruiyot, Erick Kimutai& Othira, Jacktone Odongo& Njuguna, Virginia Wanjiku& Macharia, Joseph Kinyoro& Owuoche, James…[et al.]. 2016. Adaptability and Stability Study of Selected Sweet Sorghum Genotypes for Ethanol Production under Different Environments Using AMMI Analysis and GGE Biplots. The Scientific World Journal،Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1120427

Modern Language Association (MLA)

Rono, Justice Kipkorir…[et al.]. Adaptability and Stability Study of Selected Sweet Sorghum Genotypes for Ethanol Production under Different Environments Using AMMI Analysis and GGE Biplots. The Scientific World Journal No. 2016 (2016), pp.1-14.
https://search.emarefa.net/detail/BIM-1120427

American Medical Association (AMA)

Rono, Justice Kipkorir& Cheruiyot, Erick Kimutai& Othira, Jacktone Odongo& Njuguna, Virginia Wanjiku& Macharia, Joseph Kinyoro& Owuoche, James…[et al.]. Adaptability and Stability Study of Selected Sweet Sorghum Genotypes for Ethanol Production under Different Environments Using AMMI Analysis and GGE Biplots. The Scientific World Journal. 2016. Vol. 2016, no. 2016, pp.1-14.
https://search.emarefa.net/detail/BIM-1120427

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1120427