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pro vyhledávání: '"A. I. Tofa"'
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Autor:
Osagie B. Eseigbe, Alpha Y. Kamara, Sani Miko, Lucky O. Omoigui, Reuben Solomon, Musibau A. Adeleke, Abdullahi I. Tofa, Jenneh F. Bebeley
Publikováno v:
Agronomy, Vol 14, Iss 10, p 2198 (2024)
Increasing delays in the onset of the rainy season and extended dry spells in the Nigerian savannas are complicating the determination of optimal planting dates for rain-fed crops, which increases risks for farmers. This study evaluated the impact of
Externí odkaz:
https://doaj.org/article/d6e58da6674847d2b03b7da4e5158b47
Autor:
Siyabusa Mkuhlani, Eduardo Garcia Bendito, Abdullahi I Tofa, Kamaluddin Tijjani Aliyu, Bello Muhammad Shehu, Christine Kreye, Abel Chemura
Publikováno v:
PLoS ONE, Vol 19, Iss 5, p e0300427 (2024)
Climate change and inter-annual variability cause variation in rainfall commencement and cessation which has consequences for the maize growing season length and thus impact yields. This study therefore sought to determine the spatially explicit opti
Externí odkaz:
https://doaj.org/article/d3d122dbd5b94e5abb498bff75e9a322
Autor:
J. F. Bebeley, A. Y. Kamara, J. M. Jibrin, F. M. Akinseye, A. I. Tofa, A. M. Adam, N. Kamai, R. Solomon
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-15 (2022)
Abstract Soybean production is limited by poor soil fertility and unstable rainfall due to climate variability in the Nigeria savannas. There is a decline in the amount and duration of rainfall as one moves from the south to north of the savanna zone
Externí odkaz:
https://doaj.org/article/5bc8cf8c7bf94564bc4155e79764d8b5
Autor:
Abdullahi I. Tofa, Alpha Y. Kamara, Bashir A. Babaji, Folorunso M. Akinseye, Jenneh F. Bebeley
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-16 (2021)
Abstract The Decision Support System for Agricultural Technology Transfer (DSSAT) was used to quantify the impact of climate change on maize yield and the potential benefits of the use of drought-tolerant maize variety over non-drought tolerant varie
Externí odkaz:
https://doaj.org/article/70ff21bdf2a043fa9e162dea6b66edcf
Autor:
Lucky O. Omoigui, Alpha Y. Kamara, Abdulwahab S. Shaibu, Kamaluddin T. Aliyu, Abdullahi I. Tofa, Reuben Solomon, Olalekan J. Olasan
Publikováno v:
Agronomy, Vol 13, Iss 6, p 1451 (2023)
Cowpea is a multifaceted crop; however, considerable challenges affect the production of this crop despite its comparatively better adaptation to harsh environments. Most smallholder farmers in West Africa cultivate this crop in intercropping systems
Externí odkaz:
https://doaj.org/article/51ce1fc207e24b41a0f7065457bbfb3f
Autor:
Folorunso M. Akinseye, Hakeem A. Ajeigbe, Alpha Y. Kamara, Akinrotimi O. Omotayo, Abdullahi I. Tofa, Anthony M. Whitbread
Publikováno v:
Agronomy, Vol 13, Iss 3, p 727 (2023)
In the context of climate change, the sowing date and cultivar choice can influence the productivity of sorghum, especially where production is constrained by low soil fertility and early terminal drought across the challenging agro-ecologies of nort
Externí odkaz:
https://doaj.org/article/7783a8c447834cca96005d2a3641480f
Publikováno v:
Environmental Research Communications, Vol 5, Iss 5, p 055001 (2023)
Poor soil fertility and climate variability are major constraints to maize production in the Nigeria savannas. The application of nitrogen (N) and phosphorus (P) as adaptation strategy may enhance maize yield under climate change. In this study, the
Externí odkaz:
https://doaj.org/article/1d5a0ca4c88f4f7d966224cb82760215
Publikováno v:
Advances in Agriculture, Vol 2019 (2019)
A field experiment was conducted during 2014 and 2016 rainy season at Tudun Wada, Kano and Shika, Zaria in the Northern Guinea Savanna of Nigeria in order to study the physiological responses of maize hybrids under low nitrogen. The experiment consis
Externí odkaz:
https://doaj.org/article/3fcc02e259ad46bba85974cc5ae4f54b
Autor:
Aloysius Beah, Alpha Y. Kamara, Jibrin M. Jibrin, Folorunso M. Akinseye, Abdullahi I. Tofa, Adam. M. Adam
Publikováno v:
Agronomy, Vol 11, Iss 1, p 76 (2020)
This paper assessed the application of the Agricultural Production Systems sIMulator (APSIM)–maize module as a decision support tool for optimizing nitrogen application to determine yield and net return of maize production under current agricultura
Externí odkaz:
https://doaj.org/article/0bcf85fd153e4af29897e7523fe51af4