Stability analysis for seed yield in cowpea genotypes (<i>Vigna unguiculata</i> (L.) Walp.)

Manivannan, N.; Kumar, K. Bharathi; Mahalingam, A.; Ramakrishnan, Pavithra

doi:10.5958/0975-928x.2019.00158.3

Cited by 3 publications

(3 citation statements)

References 3 publications

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“…The non-linear component of G × E interaction (pooled deviations) was found to be significant against pooled error for all the traits which indicated the role of an unpredictable portion of environments influencing these traits. The results obtained in the present study are in agreement with earlier findings of El-Shaieny et al (2015), Singh et al (2018) and Manivannan et al (2019) for the presence of a substantial amount of genotype × environment interaction. To verify the presence of variance due to components of G × E interaction, stability analysis was carried out as per Eberhart and Russell's (1966) model for all the characters taken for study.…”

Section: Resultssupporting

confidence: 93%

Stability analysis of yield and yield attributing traits in advanced breeding lines of cowpea [Vigna unguiculata(L.) Walp.]

2022

EJPB

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In the present investigation, 14 cowpea genotypes including four checks were evaluated for yield and yield attributing traits in six different locations. Pooled analysis of variance revealed that the mean sum of squares due to genotypes (G) and environments (E) were significant for all the characters studied which provided the sound evidence for the validity of the experiments. The genotype GC 1602 had desirable stability parameters for both days to 50% flowering and days to 80% maturity and identified as an early maturing genotype, the genotypes namely GC 1805, GC 1906, GC 1903 and GC 1802 were found to be high yielding and stable in all environments for seed yield and GC 1805 and GC 1906 for pod length and the number of pods per plant. The stable cowpea genotypes identified in the present study can be recommended for commercial cultivation in a wider range of environments.

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Section: Resultssupporting

confidence: 93%

Stability analysis of yield and yield attributing traits in advanced breeding lines of cowpea [Vigna unguiculata(L.) Walp.]

2022

EJPB

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“…The results indicated that the traits seed yield (g) and idly batter quantity (ml) showed significant GxE interaction and hence the data were subjected to stability analysis. Manivannan et al (2019) also reported similar results for seed yield in cowpea.…”

Section: Resultssupporting

confidence: 63%

AMMI and GGE Biplot Analysis of Seed Yield and Batter Quality Traits in Blackgram [Vigna mungo (L.) Hepper]

Rajalakshmi

Manivannan

Anand

et al. 2021

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Background: Blackgram is an important pulse crop consumed in the form of fermented cuisines especially in south India. Yield being a complex trait, is highly influenced by environment. Studies on environmental influence on batter quality are rare. Hence, the current study was taken up to identity stable genotypes over environments with respect to yield and batter quality traits.Methods: In the present study, 32 blackgram genotypes were evaluated for yield performance and batter quality traits during kharif 2019, rabi 2019-20 and summer 2020 at National Pulses Research Centre, Vamban. Pooled analysis of variance and stability analysis was performed by AMMI and GGE biplot.Result: From stability analysis, it was evident that the genotypes, ACM BG 17-001, ACM BG 17-006 and ACM BG 18-010 expressed high mean value and stability for seed yield. In case of idly batter volume, the genotypes, ACM BG 17-001 was stable hence may be recommended for all season cultivation. The trait, vada batter volume was found to be with non-significant GxE interaction and hence do not interact with the environment. Among the environments under study, summer season was the most favourable environment for seed yield. However, for idly batter quality, kharif season was the most favourable environment.

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“…Identification of genotypes expressing yield stability under different environments and throughout cropping seasons is considered one of the most important breeding goals [ 5 , 11 ], while yield is also recorded as the most desirable trait for farmers [ 12 , 13 , 14 ]. Many cowpea genotypes have been evaluated under diverse experimental environments for their seed yield, leading to the identification of promising breeding or genetic material [ 2 , 15 , 16 , 17 , 18 , 19 , 20 ]. However, yield is a complex and difficult trait to be directly improved, as it exhibits low heritability and pleiotropic effects [ 21 ].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Cowpea Landraces under a Mediterranean Climate

Lazaridi

Bebeli

2023

Plants

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Cowpea (Vigna unguiculata (L.) Walp.) yield is strongly influenced by environmental conditions. Average seed yield can decrease to a great extent when drought conditions occur, especially when they prevail during flowering and seed filling periods. Identifying genotypes presenting yield stability is one of the most important breeding goals. Local varieties or crop landraces are genetic resources that, despite exhibiting intermediate yield production capacity, present high yield stability in low-input cropping systems. The objective of this study was therefore to evaluate five selected cowpea landraces originated from different Greek islands under Mediterranean climatic conditions. A complete randomized block design with four replications was used during three consecutive cropping seasons. Many phenological and agronomic traits studied showed statistically significant genotype × experimental year interaction, while there was a strong experimental year effect. Among the landraces studied, local population VG23 from Kythira Island was the most productive under the experimental climatic and soil conditions, while local population VG2 from Lemnos Island was characterized by low seed productivity. Conclusively, our study showed that VG23 landrace is a promising genetic material to be used for seed yield improvement.

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Stability analysis for seed yield in cowpea genotypes (Vigna unguiculata (L.) Walp.)

Cited by 3 publications

References 3 publications

Stability analysis of yield and yield attributing traits in advanced breeding lines of cowpea [Vigna unguiculata(L.) Walp.]

Stability analysis of yield and yield attributing traits in advanced breeding lines of cowpea [Vigna unguiculata(L.) Walp.]

AMMI and GGE Biplot Analysis of Seed Yield and Batter Quality Traits in Blackgram [Vigna mungo (L.) Hepper]

Evaluation of Cowpea Landraces under a Mediterranean Climate

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