Influence of fertilizers on incidence and severity of early blight and late blight potato diseases under field condition | IJB
Description
The potato (Solanum tuberosum) production in the Far North Region, Cameroon is confronted with, diseases and pests. To improve the production of this plant, a study was carried out in Mouvou and Gouria to evaluate the impact of fertilizers on the development of late blight and early blight diseases of this plant. The experimental design used was a completely randomized block with 4 treatments: Mycorrhizae (MYC), NPK (20-10-10) chemical fertilizers, chicken droppings (CD) and a control (T). The plant material used was a local variety of potato (Dosa). Disease incidence and severity and rainfall were evaluated. Area Under Disease Progress Curve was calculated. At 60 DAS, mean incidences recorded for fertilizers were 5.7, 3.6, 1.8 and 0.8 % respectively for control, MYC, NPK and CD. In general, early blight severity decreased from 22.1% at 45 DAS to 0.3 % at 60 DAS. The highest AUDPC value of late blight at Mouvou site was observed in NPK treatment while potato in CD treatment had the lowest. The lowest AUDPC value of early blight was observed in CD treatment at both sites. AUDSIPC value for late blight was significantly higher in NPK treatment in both sites. The highest value of AUDPSIC of early blight was recorded in MYC treatment, 45 DAS in both sites. The average rainfall was higher in the Gouria site (716.5mm) than in Mouvou site (679 mm). The CD treatment can be recommended to the farmers for the phytosanitary protection of potatoes.
Files
Steps to reproduce
Materials and methods Plant material and fertilizers The plant material used for this trial was a local variety of potato (Dosa), round in shape with white skin and flowers. Its cycle of development is three (3) months. The biological fertilizer (mycorrhizal inoculum) used was a mixture of two strains of mycorrhizal fungi belonging to the genera Glomus sp. and Gigaspora sp. It was produced and provided at the Nkolbisson Biotechnology Center of the University of Yaounde I (Nwaga, 2008).The organic manure used was chicken droppings from the Teufack Poultry Farm in Mokolo.The chemical fertilizer was NPK (20-10-10), purchased in the local market. Experimental design The experimental design was in completely randomized blocks (03). Each block consisted of 4 treatment or plots units. The treatments were Mycorrhizae (MYC), chemical fertilizer (NPK), Chicken droppings (CD), and control (T). Each site receiveda total of 60 plants per plot. i.e180 plants per block and 420 plants per site.In total, almost 840 seeds of potatoes were monitored for the trial at the two sites. The plots were separated by 1m. Each site had an area of 525 m2. Materials and methods Plant material and fertilizers The plant material used for this trial was a local variety of potato (Dosa), round in shape with white skin and flowers. Its cycle of development is three (3) months. The biological fertilizer (mycorrhizal inoculum) used was a mixture of two strains of mycorrhizal fungi belonging to the genera Glomus sp. and Gigaspora sp. It was produced and provided at the Nkolbisson Biotechnology Center of the University of Yaounde I (Nwaga, 2008).The organic manure used was chicken droppings from the Teufack Poultry Farm in Mokolo.The chemical fertilizer was NPK (20-10-10), purchased in the local market. Experimental design The experimental design was in completely randomized blocks (03). Each block consisted of 4 treatment or plots units. The treatments were Mycorrhizae (MYC), chemical fertilizer (NPK), Chicken droppings (CD), and control (T). Each site receiveda total of 60 plants per plot. i.e180 plants per block and 420 plants per site.In total, almost 840 seeds of potatoes were monitored for the trial at the two sites. The plots were separated by 1m. Each site had an area of 525 m2. leaves. The number of disease leaves per plant was associated with this index. The area under the disease progress curve The areas of disease progression were calculated using the incidence and disease severity index. Thus, the area under the disease progress curve (AUDPC) for disease incidence was calculated using the formula described by Muengula-Manyi et al. (2013) and Kone et al. (2017): Xi is the incidence of disease at the time i, Xi + 1 is disease incidence recorded at the time i + 1, n, the number of registration on the incidence, and t, days between the registration of Xi and Xi + 1.