The Andhra Agric. J 67 Spl: (IARD-2020): 18-22 Stability Analysis for Grain Yield Attributing Traits in Finger Millet L Madhavilatha, M Subba Rao, M Hemanth Kumar, N Anuradha, I Sudhir Kumar and M Shanthi Priya Agricultural Research Station, Perumallapallle, Tirupati, A. P. ABSTRACT Stable performance of genotype in different environments is highly considered for development and release of new high yielding varieties. In the present study, thirteen advanced finger millet genotypes along with one local check were evaluated at three locations to identify stable and high yielding genotypes. None of the genotypes showed stable performance for all the traits studied. Linear component of genotype x environment (G x E) reaction was significant for number of productive tillers and grain yield ha -1 revealing the differential reaction of genotypes tested in different environments for these traits. Among the tested genotypes, PPR 1041 recorded average stability for number of productive tillers per plant indicating the wide adoptability of this genotype for number of productive tillers per plant. Average stability for grain yield was found in VR 990 which revealed the wide adaptability of the genotype across different locations. Keywords: Finger millet, Grain yield traits, Stability analysis . Finger millet ( Eleusine coracana G. 2n=4x=36) is the third most important millet crop after sorghum and pearl millet in India. It is a hardy crop that can be grown in diverse environments from almost at sea level in South India to high lands of Himalayas and from poor soils to rich soils. It is an important dry land crop and has adaptability to wide range of geographical areas in harsh climatic conditions which makes it an ideal solution to the climatic change. (Vilas A Tanopi et al., 2015). Finger millet is highly nutritious as its grain contains 65-75% carbohydrates, 5.8% protein, 15-20% dietary fibre and 300-350 mg calcium/ 100g grain (Chetan and Malleshi, 2007). It helps in alleviating the problems associated with malnutrition and anaemia (Babu et al., 2006). In crop improvement programme selection of genotypes for wide adaptability is often limited by the existence of genotype by environment interaction, making the variety development process more complex and expensive. Stability of seed yield is an important consideration in finger millet which is highly influenced by agro-climatic conditions. Stable performance of genotype in different environments is highly considered for development and release of new high yielding varieties (Birhanu Meles et al., 2015). Andhra Pradesh state has a wide environmental variability which can lead to high genotype environment interaction. Wide environmental variability in the state strengthens the importance of multi environment / location experiments in variety development process for identifying high yielding varieties with wide adaptation. Hence the present study was undertaken to evaluate thirteen advanced finger millet genotypes along with one local check in three different agro-climatic locations of Andhra Pradesh for identifying suitable, stable and high yielding finger millet genotypes. MATERIAL AND METHODS Thirteen advanced high yielding finger millet genotypes developed from three research stations namely PPR 1012, PPR 1040, PPR 1041, PPR 1044 (developed at ARS, Perumallapalle) VR 989, VR 990, VR 1042, VR 1044 (developed at ARS, Vizianagaram) PR 10-21, PR 10-26, PR 10-30, PR 10-45 (developed at ARS, Peddapuram) and one local check (vakula) were evaluated at three different agro climatic locations (ARS -Perumallapalle, ARS - Vizianagaram and ARS - Peddapuram) during Kharif 2016-17. All the experiments were laid out in RBD design with three replications. The plot size was 6.75 sq.m (3 m x 2.25 m) for each entry in each replication. The spacing adopted was 22.5 cm x10 cm between rows and plants, respectively. All the recommended package of practices were followed to raise healthy crop. Observations were recorded for days to maturity, plant height (cm), number of productive tillers per plant, ear length (cm), number of fingers per ear and grain yield (q/ha). Stability analysis was carried out by following Eberhart and Russell (1966) model. Stability parameters namely regression (bi) and deviation from regression (S 2 di) were used to identify the stable genotypes. RESULTS AND DISCUSSSION Analysis of variance (Table1) for yield attributing traits showed significant genotypic