Browsing by Author "Sabagh, Ayman E. L."

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Citation - WoS: 5
Citation - Scopus: 7
Evaluating Short Stature and High Yielding Maize Hybrids in Multiple Environments Using GGE Biplot and AMMIModels
(Soc Field Crop Sci, 2020) Ahmed, Asgar; Hossain, Akbar; Amiruzzaman, Md; Alam, Md Ashraful; Farooq, Muhammad; El Sabagh, Ayman; Kizilgeci, Ferhat; Sabagh, Ayman E. L.
In Bangladesh, maize stands second place after rice; since it faces diverse natural calamities during its highest growing season (rabi/winter), particularly strong storm during the reproductive stage. Sometimes in some regions, this crop is completely damaged by natural disasters. Considering the burning issue, thirteen hybrids, including 10 previously selected short stature hybrids were evaluated against three local and standard checks: 'BHM-9', '981' and 'Sunshine' in two consecutive years in seven locations of Bangladesh. Combined analysis over locations and seasons instigated that genotypes 'Sunshine', '981' and 'G10' were the top-high yielders, while genotypes 'G1', 'G2', 'BHM-9' and 'Sunshine' were found the most stable. On the other hand, five genotypes such as 'G3', 'G4', 'G6', 'G8' and 'G9' had the below-average mean yield and the genotypes 'G6' and 'G9' were the most unstable. Among the seven environments, Jamalpur, Joydebpur and Dinajpur were most discriminating and Ishwardi was the least discriminating; whereas Joydebpur was more representative and Borishal was the least representative of other test environments. In the case of plant and ear height, most of the genotypes showed a lower value than all the checks, which was desirable. But among the top three high yielders, local cross-genotype, the 'G10' had the lowest and more stable value for both plant height and ear height. Therefore, considering the plant and ear height, grain yield, and yield stability, the genotype 'G10' has been recommended for release as commercial variety and has been released as new maize variety in Bangladesh with the local name of 'BARI Hybrid Maize-16' (BHM-16).
Citation - WoS: 75
Citation - Scopus: 84
Normalized Difference Vegetation Index and Chlorophyll Content for Precision Nitrogen Management in Durum Wheat Cultivars under Semi-Arid Conditions
(Sustainability (Switzerland), 2021) Kızılgeçi, Ferhat; Yıldırım, Mehmet; İslam, Mohammad Sohidul; Ratnasekera, Disna; Iqbal, Muhammad Aamir; Sabagh, El Ayman; Sabagh, Ayman E. L.
To impart sustainability to modern intensive farming systems, environmental pollution caused by nitrogenous fertilizers needs to be reduced by optimizing their doses. To estimate the grain yield and nutrtional quallity of wheat, the normalized difference vegetation index (NDVI) and chlorophyll content (SPAD) are potential screening tools to identify the N deficiency and screen out the promising cultivars. The two-year field study was comprised of five levels of nitrogen (N) (control, 50, 100, 150 and 200 kg N ha-1) and two durum wheat genotypes (Sena and Svevo). The experimental design was split-plot, in which N levels were placed in the main plots, while wheat genotypes were arranged in sub-plots. To predict the yield and quality traits, NDVI and SPAD values recorded at heading, anthesis and milky growth stages were taken as response variables. The results revealed that N fertilization significantly influenced SPAD and NDVI attributed traits of durum wheat, except NDVI at milky stage (NDVI-M) during the first year. The maximum value of NDVI was recorded by 150 kg N ha-1, while control treatment gave the minimum value. The grain yield was increased with the increasing dose of N up to 100 kg N ha-1 (4121 kg ha-1), and thereafter, it was declined with further increased N levels. However, the variation between genotypes was not significant, except NDVI and SPAD values at the milky stage. The genotype Svevo had the highest NDVI values at all growth stages, while the genotype Sena recorded the maximum SPAD values during both years. Similarly, N levels significantly influenced the quality traits (protein, wet gluten, starch test weight and Zeleny sedimentation) of both genotypes. The highly significant relationship of SPAD and NDVI with the grain yield and yield attributes showed their reliability as indicators for determining N deficiency and selection of superior wheat genotypes for ensuring food security under climate change scenario.