Stability analysis in chilli (Capsicum annuum L.) for yield and yield attributing traits

Raghavendra, Hadora; Puttaraju, T. B.; Varsha, Damodar; Jodage, Krishnaji

doi:10.37855/jah.2017.v19i03.38

Cited by 3 publications

(2 citation statements)

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“…prior to the advent of agriculture when it was used by man. It was introduced into southern part of India by the Portuguese in the sixteenth century 2 .India is the highest producer, consumer and exporter of chilli, accounting for nearly 33 per cent of the country’s total spice exports and a 16 per cent share of global spice trade. Andhra Pradesh is the leading producer of chilli in India, followed by Telangana and Madhya Pradesh.…”

Section: Introductionmentioning

confidence: 99%

“…The absence or presence of genotypes × environment interaction determines the average response of genotypes and high yield suggests that genotypes are ideal for general adaptation across a wide range of environments. Genotypes with high-stability are typically low-yielders and vice versa 2 . As a result, any crop improvement programme should aim in compensating these extremes.…”

Section: Introductionmentioning

confidence: 99%

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Mean performances, character associations and multi-environmental evaluation of chilli landraces in north western Himalayas

Singh,

Joshi,

Vikram

et al. 2024

Sci Rep

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Even though many varieties have been recommended across agro-climate zones of Himachal Pradesh, yet the information on stability is lacking in this State. Hence, the present investigation was carried out to identify high yielding stable genotypes among various pre-adapted landraces. The material consists of 20 chilli landraces including check i.e. DKC-8. The experiment was laid out in a RCBD. The data were recorded and analyzed to work out mean performances and the inferences were drawn for parameters of variability, correlation coefficients, path coefficients and stability analysis. As per mean performances, CS7 and CS9 were earliest in flowering, CS13 is earliest in days to ripe maturity, CS10 had highest plant height and CS9 had highest average fruit weight and ripe fruit yield plant−1. High PCV and GCV were recorded for ripe fruit yield plant−1. Heritability and genetic advance were recorded maximum for plant height in summer seasons and were recorded maximum for number of ripe fruits plant−1 in winter season. Correlation coefficients showed that number of ripe fruits plant−1 and average ripe fruit weight were positively and significantly correlated with ripe fruit yield plant−1. Path coefficient analysis in summer and winter seasons showed that average ripe fruit weight had the highest positive direct effect on ripe fruit yield plant−1. The pooled data over environments were analyzed to estimate the interaction effects between genotypes × environment. The mean sum of squares due to genotypes, environments and genotypes × environment interaction were significant for all the characteristics. CS1, CS3, CS6, CS10, CS13, CS15 were adapted to all environments, CS7 and CS9 were specifically adapted to favourable environment and CS2 was specifically adapted to unfavorable environment for 50% flowering, landraces CS1, CS2 and CS3were well adapted to all environments for ripe maturity whereas landraces CS6, CS10 and CS19 were well adapted to all environment for number of ripe fruit and ripe fruit yield.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Mean performances, character associations and multi-environmental evaluation of chilli landraces in north western Himalayas

Singh,

Joshi,

Vikram

et al. 2024

Sci Rep

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Employing empirical models to analyze stability of yield and quality traits in chili peppers (Capsicum species)

Subhavyuktha,

Usha Nandhini Devi,

Kumar

et al. 2024

Crop Science

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Stability analysis plays a crucial role in plant breeding programs aimed at enhancing crop productivity and resilience. Chili yield stability studies based on the interaction of genotype × environment have been widely conducted, as stable yield is very substantial in the formation of sustainably high‐yielding chili varieties. Multi‐environmental trials, conducted across different seasons, locations, or both, are used to assess these G × E interactions through various statistical models. In this context, this review paper explores the understanding of stability analysis in chili breeding, the significance of genotype by environment interaction, and the methods employed in this domain, providing a comprehensive update on recent advancements in stability analysis specific to chili breeding. Furthermore, research studies conducted on stability analysis in chili breeding programs and software used to assess crop stability are featured, shedding light on the application, challenges, and future prospects in the field. The importance of stability analysis in developing stable genotypes and enhancing agricultural productivity amid evolving environmental conditions is herewith underscored. These insights are critical for breeding programs aiming to create robust genotypes capable of adapting to changing environmental conditions, ultimately contributing to more sustainable agricultural practices.

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Unravelling the dynamics of genotype and environment interactions on chilli (Capsicum annuum L.) yield-related attributes in soilless planting systems

Sahmat,

Rafii,

Oladosu

et al. 2024

Sci Rep

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Evaluation of genotypes to identify high-yielding and stable varieties is crucial for chilli production sustainability and food security. These analyses are essential, particularly when the breeding program aims to select lines with great adaptability and stability. Thirty chilli genotypes were evaluated for yield stability under four soilless planting systems viz; fertigation, HydroStock (commercial hydrogel), BioHydrogel (biodegradable hydrogel), and hydroponic to study the influence of genotype by environment interaction. The research used a split-plot randomized complete block design (RCBD) with two cropping cycles and five replications. The GGE biplot analysis was employed to assess the mean versus stability perspective in explaining the variation in genotypic and genotype-by-environment effects on the yield-related attributes for yield per plant, fruit number, fruit length, and width. Stability analysis denoted genotypes G26 and G30 as the most stable for yield per plant, while G16, G22, and G30 were stable for the number of fruits per plant. Among the four planting systems evaluated, HydroStock and BioHydrogel outperformed the others in yield per plant, demonstrating the highest level of informativeness or discrimination. These findings offer critical insights for future crop breeding programs and the optimization of agricultural practices.

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Stability analysis in chilli (Capsicum annuum L.) for yield and yield attributing traits

Cited by 3 publications

References 1 publication

Mean performances, character associations and multi-environmental evaluation of chilli landraces in north western Himalayas

Mean performances, character associations and multi-environmental evaluation of chilli landraces in north western Himalayas

Employing empirical models to analyze stability of yield and quality traits in chili peppers (Capsicum species)

Unravelling the dynamics of genotype and environment interactions on chilli (Capsicum annuum L.) yield-related attributes in soilless planting systems

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