Browsing by Author "Seetharam, K."
Now showing 1 - 3 of 3
Results Per Page
Sort Options
Publication Genotype � environment interaction and selection of maize (Zea mays L.) hybrids across moisture regimes(Elsevier B.V., 2021) Singamsetti, Ashok; Shahi, J.P.; Zaidi, P.H.; Seetharam, K.; Vinayan, M.T.; Kumar, Munnesh; Singla, Saurav; Shikha, Kumari; Madankar, KartikGenotype � environment (GE) interaction effect is one of the major challenges in identifying cultivars with stable performance across environments and years. Objective of the present study was to identify maize hybrids with high and stable yields under different soil moisture regimes such as drought, waterlogged and well-watered conditions. The trials were carried out in subsequent winter (Rabi) and summer-rainy (Kharif) seasons of 2017 and 2018 totaling seven test environments at the two different locations of India viz, Banaras Hindu University, Varanasi and CIMMYT, Hyderabad. After observing substantial and statistically significant GE interaction for studied traits, the phenotypic stability of maize hybrids was analyzed by AMMI, GGE biplot and multi-trait stability index (MTSI) methods. The study emphasized on the significance of AMMI and GGE biplots in deciphering the GE interactions based on grain yield data. Estimation of stability indices, WAASB (Weighted Average of Absolute Scores from the singular value decomposition of the matrix of BLUPs) for the GE interaction effects and WAASBY (a combination of WAASB and yield) scores for identification of the best suitable genotypes with high stability and maximum yield potential was highlighted. The investigation delineated the applicability of MTSI that computed based on the genotype-ideotype distance considering the multiple variables. The methods studied were concordant in the identification of the promising maize hybrids with high mean performance and greater phenotypic stability across the different soil moisture conditions. � 2021 Elsevier B.V.Publication IDENTIFICATION OF WATERLOGGING STRESS TOLERANT MAIZE (ZEA MAYS L.) HYBRIDS USING DIFFERENT SELECTION INDICES(Punjab Agricultural University, 2023) Singamsetti, Ashok; Shahi, J.P.; Zaidi, P.H.; Seetharam, K.; Kumar, Munnesh[No abstract available]Publication Investigation on genotype-by-environment interaction and stable maize (Zea mays L.) hybrids across soil moisture conditions(Springer, 2021) Singamsetti, Ashok; Shahi, J.P.; Zaidi, P.H.; Seetharam, K.; Madankar, Kartik; Kumar, MunneshMaize production and productivity are challenged by multiple and co-occurring stresses that impact crop growth, development and consequently the yields. Maize crop is often exposed to a combination of drought and waterlogging stresses during the same or alternative growing seasons, therefore it became a major challenge to select promising cultivars that fit across varied soil moisture conditions. In this context, the present experiment was carried out to evaluate 75 maize hybrids under six environments with a combination of cropping season, location and soil moisture condition. The objective of the present investigation is to carry out simultaneous selection of ideal maize hybrids with better yield potential and stable across soil moisture regimes through additive main effects and multiplicative interaction (AMMI) analysis. The analysis of variance for mean grain yield across test environments showed significant variation for genotype-by-environment interaction (GEI), along with genotypes and environments that ensured stability analysis. Five maize hybrids viz., ZH161303, ZH161478, ZH161330, ZH161047 and ZH161068 were found promising hybrids with high stability and productivity across the soil moisture regimes including low, excess and optimal soil moisture environments. � 2021, Society for Plant Research.