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Egbebi, O.E

Anberbir, T

Maina, E.W

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Authors

Egbebi, I.A

Oyedele, D.J

Tijani, F.O

Egbebi, O.E

Maina, E.W

Anberbir, T

Mamo , G

Dabi, A

Topics

Climate Smart Agriculture

Precision Nutrient Management

Proximal and Remote Sensing

Type

Oral

Year

2022

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Filter results3 paper(s) found.
1. Water Application Efficiency of an Ultisol in Response to Climate Change in Two Agroecological Zones of Nigeria Irrigation and fertilizer application are management practices farmers have adopted to increase food production for the growing population. This has improved crop nutrient absorption and the efficiency of fertilizer applied to the soil. This is essential to reduce plant water stress in a climate changing environment. This study investigated and compared water application efficiency under manual sprinkler irrigation with capillary irrigation method on ultisols located in rainforest and derived... I.A. Egbebi, D.J. Oyedele, F.O. Tijani, O.E. Egbebi
2. Effect of Different Combinations of N, P and K Nutrients on Growth, Yield and Fibre Quality of Cotton (Gossypium Hirsutum L.) Cotton has high requirements for nitrogen (N) phosphorus (P) and potassium (K), and the nutrients interact differently on yield and quality of this crop. This necessitates the precise combination of these nutrients to maximize yield and quality. Two cotton varieties (Bt cotton and a conventionally bred variety, HART 89M) were assessed for growth, yield and quality under different nutrient combinations in two contrasting environments in semi-arid Kenya. Nutrient combinations were NPK,... E.W. Maina, E.W. Maina Download paper
3. Unmanned Aerial Vehicles (UAVs) for Phenotypic Traits Estimation & Yellow Rust Disease Severity Assessment in Small-scale Wheat Breeding Trials in Ethiopia Remote Sensing (RS) platforms; like the Unmanned Aerial Vehicles (UAVs) are recently gaining traction in agricultural data collection systems and used for various phenotyping of breeding field trials and capturing different biophysical, biochemical and sanitary traits which can be used to predict and explain the resulting yield and selecting better verities. Compared to the conventional phenotyping usually done by visual scoring and manual measurements which is time consuming/back breakings, susceptible... T. Anberbir, G. Mamo , A. Dabi

Filter results3 paper(s) found.

1. Water Application Efficiency of an Ultisol in Response to Climate Change in Two Agroecological Zones of Nigeria

Irrigation and fertilizer application are management practices farmers have adopted to increase food production for the growing population. This has improved crop nutrient absorption and the efficiency of fertilizer applied to the soil. This is essential to reduce plant water stress in a climate changing environment. This study investigated and compared water application efficiency under manual sprinkler irrigation with capillary irrigation method on ultisols located in rainforest and derived... I.A. Egbebi, D.J. Oyedele, F.O. Tijani, O.E. Egbebi

2. Effect of Different Combinations of N, P and K Nutrients on Growth, Yield and Fibre Quality of Cotton (Gossypium Hirsutum L.)

Cotton has high requirements for nitrogen (N) phosphorus (P) and potassium (K), and the nutrients interact differently on yield and quality of this crop. This necessitates the precise combination of these nutrients to maximize yield and quality. Two cotton varieties (Bt cotton and a conventionally bred variety, HART 89M) were assessed for growth, yield and quality under different nutrient combinations in two contrasting environments in semi-arid Kenya. Nutrient combinations were NPK,... E.W. Maina, E.W. Maina

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3. Unmanned Aerial Vehicles (UAVs) for Phenotypic Traits Estimation & Yellow Rust Disease Severity Assessment in Small-scale Wheat Breeding Trials in Ethiopia

Remote Sensing (RS) platforms; like the Unmanned Aerial Vehicles (UAVs) are recently gaining traction in agricultural data collection systems and used for various phenotyping of breeding field trials and capturing different biophysical, biochemical and sanitary traits which can be used to predict and explain the resulting yield and selecting better verities. Compared to the conventional phenotyping usually done by visual scoring and manual measurements which is time consuming/back breakings, susceptible... T. Anberbir, G. Mamo , A. Dabi