Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Mohammad Shamim AHSAN"'
Autor:
Mohammad ANISUZZAMAN, Mohammad Rafiqul ISLAM, Hasina KHATUN, Mohammad Amdadul HAQUE, Mahammad Shariful ISLAM, Mohammad Shamim AHSAN
Publikováno v:
Acta Agriculturae Slovenica, Vol 118, Iss 4 (2022)
Rice crop improvement is determined by the degree of genetic variability and the heritability of favorable genes. A total of twenty-five SSR markers were used to measure the level of polymorphism and genetic variation among the 65 rice genotypes. Twe
Externí odkaz:
https://doaj.org/article/e919f9bd45204311926b65193234f17e
Autor:
Zakaria Alam, Sanjida Akter, Md. Anwar Hossain Khan, Md. Shamshul Alam, Md. Nazmul Islam, Abul Fazal Mohammad Shamim Ahsan, Mohammad Saidur Rahman, Md. Babul Anwar, Mousumi Sultana, S.M. Kamrul Hasan Chowdhury, Mohammad Quamrul Islam Matin, A.K.M. Zonayed-Ull-Noor, Mohammad Mainuddin Molla, Umakanta Sarker
Publikováno v:
Data in Brief, Vol 54, Iss , Pp 110493- (2024)
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, Bogur
Externí odkaz:
https://doaj.org/article/f6ab9abcd903455991a19b9c2654815d
Autor:
Mohammad Anwar Hossain Khan, M.A. Rahim, Mahbub Robbani, Fakhrul Hasan, Md. Rezwan Molla, Sanjida Akter, Abul Fazal Mohammad Shamim Ahsan, Zakaria Alam
Publikováno v:
Data in Brief, Vol 54, Iss , Pp 110333- (2024)
The dataset primarily focused on selecting genotypes of sweet oranges based on their phenotypic performances. The dataset resulted significant variations in the best linear unbiased predictions (BLUPs) of 20 out of 21 traits, including leaves, flower
Externí odkaz:
https://doaj.org/article/61b12dece8e3489e87389df8c33fac26
Autor:
Abul Fazal Mohammad Shamim Ahsan, Zakaria Alam, Faruque Ahmed, Sanjida Akter, Md. Anwar Hossain Khan
Publikováno v:
Data in Brief, Vol 53, Iss , Pp 110176- (2024)
The 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 res
Externí odkaz:
https://doaj.org/article/e8460e63e5554027899cc1c4ae629af7