Zobrazeno 1 - 10
of 2 457
pro vyhledávání: '"DSSAT"'
Autor:
Ru Zhang, Gang Lin, Li Shang, Xiaoyuan Wu, Zhiquan Liu, Longchao Xu, Qinglin Sun, Jingying Fu, Huaiqing Hao, Hai-Chun Jing
Publikováno v:
Biotechnology for Biofuels and Bioproducts, Vol 17, Iss 1, Pp 1-11 (2024)
Abstract Background Sweet sorghum (Sorghum bicolor) displays an excellent potential to serve as a non-food bioenergy feedstock for bioethanol production in China due to its high potential yield on marginal lands. However, few studies have been conduc
Externí odkaz:
https://doaj.org/article/7af41851b13749aba7fc00df9c874257
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract Much research has been invested in infrared temperature (IRT)-based methods for cotton (Gossypium hirsutism L.) water stress detection using in-field sensors, but adoption of these is low, perhaps due to logistical challenges. Alternatively,
Externí odkaz:
https://doaj.org/article/fc2d23fa4ee24c56b59804c8843a0b97
Autor:
Tawatchai Inboonchuay, Audthasit Wongmaneeroj, Napaporn Phankamolsil, Sirinapa Chungopast, Sahaschai Kongthon, Prakit Somta
Publikováno v:
AGRIVITA Journal of Agricultural Science, Vol 46, Iss 3, Pp 425-438 (2024)
The Decision Support System for Agrotechnology Transfer (DSSAT) cropping system model is a part of the management module that processes user inputs describing crop management. The precision and accuracy of cropping models require recent research to c
Externí odkaz:
https://doaj.org/article/3f0fab3f64264977b7aaf0fbdfc78e97
Autor:
Harison K. Kipkulei, Sonoko D. Bellingrath-Kimura, Marcos Lana, Gohar Ghazaryan, Roland Baatz, Custodio Matavel, Mark K. Boitt, Charles B. Chisanga, Brian Rotich, Rodrigo M. Moreira, Stefan Sieber
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Agricultural production assessments are crucial for formulating strategies for closing yield gaps and enhancing production efficiencies. While in situ crop yield measurements can provide valuable and accurate information, such approaches are
Externí odkaz:
https://doaj.org/article/0ef95dc28d164d74ab24c84a081ebed4
Autor:
Kamlesh Kumar, C. M. Parihar, H. S. Nayak, D. R. Sena, Samarth Godara, Rajkumar Dhakar, Kiranmoy Patra, Ayan Sarkar, Sneha Bharadwaj, Prakash Chand Ghasal, A. L.Meena, K. Srikanth Reddy, T. K. Das, S. L. Jat, D. K. Sharma, Y. S. Saharawat, Upendra Singh, M. L. Jat, M. K. Gathala
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Agricultural field experiments are costly and time-consuming, and often struggling to capture spatial and temporal variability. Mechanistic crop growth models offer a solution to understand intricate crop-soil-weather system, aiding farm-lev
Externí odkaz:
https://doaj.org/article/70548baefbd744ae998d1dd7fdb9ef4a
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract The DSSAT CANEGRO model was calibrated and verified using field experimental data from five Tamil Nadu Agroclimatic Zones (1981–2022). The genetic coefficients of the sugarcane cultivar (CO-86032) were calculated. R2 obtained between measu
Externí odkaz:
https://doaj.org/article/4fef3edb4d3b492cadc3e44b00f2bc02
Autor:
Murali Krishna Gumma, Ramavenkata Mahesh Nukala, Pranay Panjala, Pavan Kumar Bellam, Snigdha Gajjala, Sunil Kumar Dubey, Vinay Kumar Sehgal, Ismail Mohammed, Kumara Charyulu Deevi
Publikováno v:
AgriEngineering, Vol 6, Iss 1, Pp 786-802 (2024)
This study underscores the critical importance of accurate crop yield information for national food security and export considerations, with a specific focus on wheat yield estimation at the Gram Panchayat (GP) level in Bareilly district, Uttar Prade
Externí odkaz:
https://doaj.org/article/307026d238914e238aef37efc75c87bf
Publikováno v:
CABI Agriculture and Bioscience, Vol 5, Iss 1, Pp 1-17 (2024)
Abstract Background In southern central rift valley of Ethiopia, maize is an important crop because of its adaptation to wider agro-ecologies and higher yield potential. However, most cultivars were not parameterized to include in the database of Dec
Externí odkaz:
https://doaj.org/article/f039b2503e57482b91a78c352112d96e
Publikováno v:
Climate Resilience and Sustainability, Vol 3, Iss 3, Pp n/a-n/a (2024)
Abstract Drought is more frequent and intensified due to global warming. Changed conditions in Beijing‐Tianjin–Hebei region which is drier and warmer than before, make it necessary to investigate various optimized irrigation schemes in the winter
Externí odkaz:
https://doaj.org/article/a26ca55a935b4b99aea1bd7f0c4180d2