Stability analysis of yield and yield contributing traits in post rainy sorghum (Sorghum bicolor (l.) moench) mutant lines

An investigation is carried out with with 18 M7 generation sorghum (Sorghum bicolor (L.) Moench) mutant lines derived from parent Parbhani Moti along with four checks namely Parbhani Moti, Parbhani Super Moti, CSV 29-R and KR-196 to ascertain the nature and extent of Genotype x Environment interaction and to estimate the stability for grain yield and its attributing traits. The field experiment was conducted using a randomized block design with two replications across four distinct environments during the rabi season of 2022. The environments included Parbhani (E1), Aurangabad (E2), Nanded (E3) and Golegaon (E4). The genetic stability analysis, conducted using Eberhart and Russel's (1966) method, revealed significant genotype differences for most traits, except for days to maturity and 100 seed weight across four environments. Pooled analysis showed highly significant environmental and genotype-environment interactions for most traits, validating the experimental setup. Notably, PME 5-36 exhibited the highest mean grain yield and panicle width, followed by other promising mutants like PME 5-21 and PME 5-32. Environmental index analysis identified Aurangabad (E2) as the most favorable for key yield traits, while Golegaon (E4) was the least favorable. Overall, six mutants, PME 5-36, PME 5-21, PME 5-32, PME 5-26, PME 5-65 and PME 5-24 demonstrated stable performance and adaptability across environments.

Authors

Publication Details

Journal
International Journal of Advanced Biochemistry Research
Published
2024-10-01
DOI
https://doi.org/10.33545/26174693.2024.v8.i10o.2702
Citations
1
Primary Topic
Bioenergy crop production and management
Type
article
Field-Weighted Citation Impact
0.57
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article

Stability analysis of yield and yield contributing traits in post rainy sorghum (Sorghum bicolor (l.) moench) mutant lines

AW More, JD Deshmukh, HV Kalpande, Suraj Prakash Sapkal et al.
1 citations
International Journal of Advanced Biochemistry Research
Bioenergy crop production and management
0.57
article

Stability analysis of yield and yield contributing traits in post rainy sorghum (Sorghum bicolor (l.) moench) mutant lines

AW More, JD Deshmukh, HV Kalpande, Suraj Prakash Sapkal, Hanuman Kadam, Akshay Mirgude
article en
1 citations

Abstract

An investigation is carried out with with 18 M7 generation sorghum (Sorghum bicolor (L.) Moench) mutant lines derived from parent Parbhani Moti along with four checks namely Parbhani Moti, Parbhani Super Moti, CSV 29-R and KR-196 to ascertain the nature and extent of Genotype x Environment interaction and to estimate the stability for grain yield and its attributing traits. The field experiment was conducted using a randomized block design with two replications across four distinct environments during the rabi season of 2022. The environments included Parbhani (E1), Aurangabad (E2), Nanded (E3) and Golegaon (E4). The genetic stability analysis, conducted using Eberhart and Russel's (1966) method, revealed significant genotype differences for most traits, except for days to maturity and 100 seed weight across four environments. Pooled analysis showed highly significant environmental and genotype-environment interactions for most traits, validating the experimental setup. Notably, PME 5-36 exhibited the highest mean grain yield and panicle width, followed by other promising mutants like PME 5-21 and PME 5-32. Environmental index analysis identified Aurangabad (E2) as the most favorable for key yield traits, while Golegaon (E4) was the least favorable. Overall, six mutants, PME 5-36, PME 5-21, PME 5-32, PME 5-26, PME 5-65 and PME 5-24 demonstrated stable performance and adaptability across environments.

International Journal of Advanced Biochemistry ResearchVol. 8(10)
Zero hunger
Openalex Percentile: Top 28%
Bioenergy crop production and management
0.57
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Stability analysis of yield and yield contributing traits in post rainy sorghum (Sorghum bicolor (l.) moench) mutant lines — AW More, JD Deshmukh, et al. · International Journal of Advanced Biochemistry Research (2024) | TGRS Research Map | TGRS