Publications by authors named "Md Anwar Hossain Khan"
Article Synopsis
- * Positive correlations were found among traits such as storage root weight and foliage weight, indicating potential for effective phenotypic selection, while principal component analysis identified key traits contributing to the overall genetic variance in the genotypes.
- * The study identified two main genotypic clusters with Cluster I showing superior trait performance, while within Cluster II, further variations were observed, alongside significant genetic influences on traits as shown by the REML model, suggesting potential for selective breeding.
The dataset extensively examines the factors considered when choosing sweet potato genotypes, considering various characteristics. Notably, Moz1.15 demonstrated the highest marketable root yield at 46.
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- - In Bangladesh, sweet potato ranks as the fourth most important carbohydrate source but suffers from issues of yield and stability, prompting researchers to employ various selection methods to identify better-performing genotypes that maintain quality traits.
- - Through multiple selection methods and a multi-environment trial, researchers identified 71 superior sweet potato genotypes from an initial pool of 351, eventually narrowing it down to 11 top-performing genotypes to optimize yield and quality.
- - Utilizing advanced statistical models like linear mixed models and the WAASBY index, the study determined that specific genotypes (H20, H37, H8, and H41) excelled in key metrics, such as marketable root yield and nutritional content, indicating a reliable selection
The dataset focuses on evaluating the performance of 17 sweet potato varieties (G) released by the Bangladesh Agricultural Research Institute (BARI) in terms of storage root yield and stability across five locations (E) in Bangladesh-Gazipur, Bogura, Jamalpur, Jashore, and Chattogram. The result revealed that BARI Mistialu-12 exhibited the highest average storage root yield at 45.35 t/ha, closely followed by BARI Mistialu-16 at 44.
View Article and Find Full Text PDFThe dataset explores the impact of waterlogging stress on sesame plants during the pre-flowering stage, recognizing its global impact on crop yield and the identification of tolerant genotypes using the MGIDI index. Carried out in Bangladesh, the research assesses the survival status, grain yield, and stress tolerance indices of 40 sesame genotypes, revealing that twelve of them demonstrated resilience under 72 h of waterlogging stress at the pre-flowering stage. There were variations in genotypic grain yield, and G15 exhibited the highest yields, recording 5.
View Article and Find Full Text PDFA study was conducted in five regions of Bangladesh, specifically Gazipur, Bogura, Jamalpur, Jashore, and Chattogram, each characterized by suitable agro-ecologies for sweet potato cultivation. The purpose of this data article was to demonstrate the correlations between traits and the selection of stable varieties based on the multi-trait stability index (MTSI). The data indicated a direct link between multiple characteristics and both the yield and factors contributing to yield.
View Article and Find Full Text PDFA study was carried out in five sweet potato growing regions of Bangladesh, each characterized by suitable agro-ecologies, in order to demonstrate the most favorable varietal performance and trait correlations. A completely randomized block design with three replications was used to compare the varietal performance of BARI (Bangladesh Agricultural Research Institute) released sweet potato varieties (viz. BARI Mistialu-9, BARI Mistialu-10, BARI Mistialu-12, BARI Mistialu-15 and BARI Mistialu-17).
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