Stability for seed yield in ajwain based on Gentoype Selection Index

Abstract

Ajwain is the second most important seed spice crop in Andhra Pradesh, India. It is grown as rainfed crop in vertisols. The crop is sown usually during July to September as a rainfed crop. There is a need for identifying suitable high yielding genotypes adaptable to rainfed vertisols. In view of this, fourteen genotypes were evaluated for their performance in rainfed vertisols for four years. The uniqueness of the rainfed environment which varies with year to year was taken as advantage and Additive Main Effect and Multiplicative Interaction (AMMI) analysis was used to understand the complex genotype x environment (GE) interactions. Further AMMI Stability Values and Genotype Selection Index (GSI) were worked out for the genotypes. Stability when assessed should be reliable. Genotype Selection Index (GSI) due to its nature of combining the estimated the stability measure and yield data, gave more useful information for selection and recommendation. The most desirable genotypes for selection of both stability and high grain yield were genotype 3 (LTa-26) followed by genotype 2 (LTa-25).

Genotype by environment interaction and yield stability analysis of open pollinated maize varieties using AMMI model in Afar Regional State, Ethiopia

“…The lowest yielding genotype was Melkasa-1 with average grain yield of 4.91 t/ha ( Table 3). The genotypes showed varied performance in response to the test environments, thus contributed to greater variation in GEI; similar results were reported by Giridhar et al (2016). GEI diminishes the efficacy of genotypes by confounding their yield potential, which indicates the relevance of evaluating the adaptability and stability of genotypes across multi environments.…”

“…Although a number of methods are employed for genotype by environment interaction (GEI) and phenotypic stability analysis, Additive Main Effect and Multiplicative Interaction (AMMI) model is more suitable and simplify instantaneous choice of genotypes for stability. The model helps in establishing the relationship of genotypes, environment and their interaction (Giridhar et al, 2016). The AMMI model has been intensively used recently, since it incorporates both the classical additive main effects for GEI and the multiplicative components into an integrated least square analysis and thus become more effective in selection of stable genotypes (Dewi et al, 2014;Frutos et al, 2015).…”

A new index for evaluation of G×E interaction in pearl millet using AMMI and GGE biplot analyses

“…MH 2103 3829 1950 824 2592 3913 3387 2472 4450 2787 3715 3275 3469 2727 3704 G2 MH 2104 3412 1622 801 2424 3639 2935 2759 3817 2796 3896 3757 3920 1978 3630 G3 MH 2105 2677 1300 903 1715 2544 2497 2190 3722 2493 2774 2579 2154 2193 3444 G4 MH 2106 3690 2694 1153 3186 4445 3516 3551 4917 3062 4069 3746 3580 2548 3667 G5 MH 2107 3477 2667 1190 3260 4356 2629 3023 3750 3125 4701 4166 4451 2494 3667 G6 MH 2108 2556 1506 838 2292 2391 2174 1782 3428 2275 3490 3969 3340 2650 and Khanzadeh et al (2018) also studied GxE using AMMI and Biplot analysis. Giridhar et al (2016) studied Stability for seed yield in ajwain based on Gentoype Selection Index. Kumar et al (2018) applied GGE Biplot technique for analysis of data from Multi-environment Yield Trials for Wheat in Northern India.…”

Influence of Sowing Window and Plant Density on Growth, Phenology, Yield and Quality of Nigella sativa L. in Coastal Humid Tropic

“…The other important producers are Sri Lanka, Bangladesh, Afghanistan, Pakistan, Egypt, Iran, Iraq, Syria, Turkey and Ethiopia (Malhotra, 2004;Wallace, 2013). Giridhar et al, (2015) reported that India exported 20215 MT of nigella to Pakistan, Turkey, United States, Iran, UAE, Yemen, Tunisia, Germany, Sri Lanka and Indonesia during the year 2014. In India, nigella is generally grown in Northern parts during winter (rabi), where length of growing period is between 120 to 140 days.…”

“…It is known vernacularly by name habbatul barakah (Arabic for seed of blessing), shonaiz (Persian), kalonji (Urdu and Hindi) and krishnajirika (Sanskrit). The existence of numerous vernacular names indicated the wide use of nigella in more than 100 countries (Giridhar et al, 2015). Seeds of this plant are used both as spice and medicine since a very long time.…”