Performance evaluation of common bean (Phaseolus vulgaris L.) varieties in Raya Valley, Northern Ethiopia

Phaseolus vulgaris L. (Leguminosae) is a crop widely distributed in all parts of the world. In Ethiopia, common bean is cultivated as a source of protein for local consumption and for export. Mostly, it grows in the warm and lowland areas of the country. The aim of this research was to identify and investigate the performance and genetic potential of P. vulgaris varieties in raya valley of southern tigray. Twelve varieties of P. vulgaris L.were used to evaluate their genetic variation within varieties using randomized complete block design (RCBD) in plot size of 4 x 2.4 m = 9.6 m2 with six rows per plot. The data was subjected for analysis of variance (ANOVA) using SAS PROC GLM (2004) at P<0.05. The analysis of variance (ANOVA) showed significant at P ≤ 0.001 among treatments for the 10 variables: Emergence date, stand count after thinning, days to flowering, days to maturity, harvesting date, pod per plant, seed per pod, hundred seed weight, yield per hectare measured, significant (P<0.05) and non significant (P=0.05) for plant height and stand count at harvest, respectively. Among the varieties, Batu variety matures early (77 days) and both Dinkinesh and Lyamungo-85 matures late (100 days). Grain yield per hectare shows low in Dinkinesh variety (320.1 kgha-1) and highest in Nasir variety (2764.9 kgha-1) followed by Alpine (2470.8 kgha-1) and Awash Melka varieties (2145.5 kgha-1). Therefore, Nasir variety was well performed to Raya Valley condition. Therefore, this variety has to be promoted in farmers field for dissemination and scaling up. 
 
 Key words: Phaseolus vulgaris L, common bean, lowland, yield, yield components.

the green leaves and green pods of common beans, cowpeas and pigeon peas are consumed as vegetables in some parts of the country (FAO, 2009).While pulses are grown all over the country, and account for 13% of cropped land area, production is concentrated in the Amhara and Oromiya regions, which jointly account for 92% of chickpea production, 85% of faba bean production, 79% of common bean production, and 79% of field pea production.The region is also the major producer of three out of the four major pulses varieties in the country (faba beans, chickpeas and common beans), while Oromiya leads production in the other major variety -field peas (IFPRI, 2010).
Common bean is a diploid (2n=22) annual leguminous plant that belongs to the genus Phaseolus, and it is characterized by pinnately compound trifoliate leaves.There are about 50 species under the genus Phaseolus.Phaseolus vulgaris L. was follow-on from wild ancestors distributed from Northern Mexico to Northwestern Argentina (Ibarra-Perez et al., 1997;Debouck, 1999).The ancestors of P. vulgaris L. become visible to have created two distinctive gene pools one in Mesoamerica (Mexico and Central America) and the other in the Southern Andes, a mountain range in South America (Burle et al., 2010).An ancestral wild form is still found at the border line between temperate and sub-tropical dry climatic regions (Debouck, 1999).They were brought to Europe and Africa during the 16th century by returning Spanish and Portuguese explorers (Ibarra-Perez et al., 1997).
Common bean (P.vulgaris L.) is the world's most significant food legume for direct human consumption.Average per capita utilization of common bean in the main bean production areas is higher in Africa, projected at 31.4 kg year -1 . High in nutrients and commercial potential, common bean holds large guarantee for combating hunger, increasing income and improving soil fertility in sub Saharan Africa.The crop occupies more than 3.5 million hectares in sub-Saharan, accounting for about 25% of the worldwide production but production is concentrated in the densely populated areas of East Africa, the lakes region and the highlands of southern Africa.In Africa, common bean is an admired crop among small-scale farmers, given its short growth cycle (about 70 days) which permits production when rainfall is irregular.Common bean is often grown by women farmers for mainly for subsistence and markets (Schoonhoven and Voysest, 1991).
Haricot beans are a grain crop primarily grown in Ethiopia for human utilization and export.It grows in most of the agro-ecology zones of low and mid altitude areas of the country.A market demand for the haricot beans both in the domestic and export market has become the main mechanism for the growing trends in quantity of production (Frehiwot, 2010).
Haricot bean is grown on an estimated 323,327.27 hectares by nearly 3.2 million smallholder farmers.Its production also reaches 5,137,248.07quintals with an average of 15.9 QuHa -1 . In case of Tigray region, the production is 7,769.65 quintals in 1,051.32hectare of land, which is 7.4 QuHa -1 (CSA, 2015).The wide range of growth habits among bean varieties has enabled the crop to be cultivated well under different agro-ecological surroundings.Common bean is very favored by Ethiopian farmers because of its fast maturing uniqueness that enables households to get cash returns essential to pay for food and other household needs when other crops have not yet matured (Legesse et al., 2006).The major producing regions are Oromiya (mainly East Shewa, East Hararghe, and West Hararghe, West Arsi, and Arsi zones) and SNNPR (Wolaita, Sidama, Gedeo, Alaba, Dauro and Guraghe zones).The production in the Central Rift Valley is conquered by white pea bean types that are intended for export market.In the rest of the growing regions, other bean types, cultivars of different seed color, size and shapes are grown primarily for domestic consumption.The improved trend in the production of pulses due to productivity improvement and area expansion, the appearance of new pulse crops for export, improvement in the storage, cleaning, and grading capacity of exporters and wholesalers and the presented approving community support for export have supported the increase of export over the years (Dawit et al., 2010).Therefore, as the research area was low altitude it is believed to be potential for lowland pulses production.In view of this, the study was conducted to identify and evaluate the performance and genetic potential of released common bean varieties for further utilization in the lowland areas of Southern Tigray.

Description of the experimental area
The study was conducted at the research station of Mehoni Agricultural Research center in the Raya Valley in 2012/13 main season, Northern Ethiopia, (12° 41'50'' S or N; 39° 42'08'' W or E; 1578 m).The site receives a mean annual rainfall of 600 mm with ***= Very highly significant at P ≤ 0.001, ** = highly significant at P ≤ 0.01, *= significant at P ≤ 0.05, ns = nonsignificant at P = 0.05, CV= coefficient of variance.
an average minimum and maximum temperature of 22 and 32°C, respectively.The soil textural class of the experimental area is clay loam with pH of 7.9-8.1 (MhARC, 2015).

Treatments and experimental procedures
The design of the experiment was randomized complete block design (RCBD) with three replications.A recently released 12 improved common bean varieties (Red kidney, Batu, Alpine, Awash melka, Dinkinesh, ECAB-0081, Nasir, VTTT/925-14, Lyamungo-85, Calima, F9 Kaki-18 and Crestwood) were used in the study.The plot size was 4 x 2.4 m (9.6 m 2 ) having 6 rows with harvestable plot size of 1.6 x 4 m (6.4 m 2 ) and a spacing of 0.40 m between rows and 0.10 m between plants was maintained.1.50 m between replication, 1 m between blocks and leave 0.50 m between plots within each block.100 kg of DAP and 100 kg of urea fertilizers were set aside homogeneous for all treatments and urea was applied in split three times.Management practices like weeding, watering and thinning were done uniformly to all plots as per recommendations.

Data collection and statistical analysis
During the experiment data on individual plant basis plant height, number of pods per plant, number of seeds per pod, and on plot basis emergence date, stand count after thinning, days to 50% flowering, days to maturity, stand count at harvest, grain yield per plot, 100 seed weight were collected.Data were subjected to analysis of variance (ANOVA) using SAS computer package version 9.1 (SAS, 2004) at P<0.05.when there were a significant difference among the treatment means the least significant difference (LSD) test will be used to compare the mean separations at P<0.05 (Gomez and Gomez, 1984).

Phonological and agronomic characters
Result of the analysis of variance (ANOVA) of the traits studied in the experiment was very highly significant (p≤0.001,Table 1).Days to emergence ranged from 9.33 to 11.00 days.Nasir variety emerges early (9.33 days) after sowing, whereas Red Kidney, Alpine, VTTT/925-14, Lyamungo-85 and Calima Varieties emerged late at (11 days) after sowing.Stand count after thinning, days to 50% flowering and stand count at harvest scored lowest (111.33, 46.66 days and 101.00 respectively) at variety Red kidney, while Awash melka scored significantly higher for traits of stand count after thinning and stand count at harvest (144.00 and 130.00).Significantly, higher plant height was recorded at variety VTTT/925-14 (51.13 cm) followed by Dinkinesh variety (51.13 cm) whereas significantly lower plant height was recorded at Calima variety (33.06 cm), whereas, the lowest days to 90% maturity (70 days) was obtained at variety Batu which indicated that Batu was matured earlier by an average of 28 days from late matured variety Lyamungo-85 (98 days) followed by Dinkinesh variety (97 days) (Table 2).

Yield and yield component characters
The results from the analysis of variance for number of pods per plant showed a very highly significant (P<0.001)difference (Table 1).The highest number of pods per plant was obtained from Crestwood and Alpine (20 pods/plant), while the lowest number of pods per plant was obtained at Dinkinesh (8.33 pods/plant) followed by Calima (8.66 pods/plant).Nasir variety scores the highest number of seed per pod (3.65).However, the lowest number of seeds per pod (1.81 seedspod -1 ) was obtained at Calima variety.In addition to this, the highest hundred seed weight was recorded at Calima variety (39.83 g) and the lowest hundred seed weight recorded at Crestwood variety (16.10g).Finally, Dinkinesh variety produced the lowest grain yield per hectare (320.1 kg).Whereas, Nasir variety produced the highest (2764.9kg) grain yield per hectare followed by Alpine (2470.8kg) and Awash Melka varieties (2145.5 kg) (Table 2).

DISCUSSION
Generally, very highly significant difference was observed for emergence date, stand count after thinning, days to flowering, days to maturity, harvesting date, pod per plant, seed per pod, 100-seed weight and yield per hectare.Plant height and stand count after harvest showed significant and non-significant difference, respectively.
With regards to the present experiment, the existence of genotypic variation in grain yield and yield components (Emishaw, 2007) has been reported for common bean.Data for number of pods per plant, seeds per pod, branches per plant, plant height, seed yield and hundred seed weight were showed highly significant (P<0.01)differences among varieties.The current variations in yield components among varieties consent with previous reports (Daniel et al., 2014).
In line with the finding (Kassaye, 2006;Shahid and Kamaluddin, 2013;Fahad et al., 2014), it was reported that significant variability was observed for plant height, days to 50% flowering, days to 90% physiological maturity, pods per plant, seed yield per pod, hundred seed weight and yield characters.The obtained result was in accordance with the works of Zelalem (2014).Combined analysis showed that plant height, seed pod -1 , and hundred seed weight and grain yield were significantly different.But stand count at emergency, stand count at harvest, days for flowering, days for maturity and pods per plant did not show significant difference (P < 0.05).

Conclusion
Testing of improved varieties is among the best technologies to improve productivity and for specific area recommendation.Results of this experiment showed that Nasir variety had early maturation, highest stand count after harvest, highest seed per pod, produced the highest grain yield, and good performance in other parameters.However, the experiment should be repeated across locations and years for a wide range of recommendation.Gomez KA, Gomez AA (1984)  ) is one of the widely grown crops in the world, ranking third next to wheat and rice (FAOSTAT, 2012).It is a staple food for several million people in the developing world where they derive their protein and calorie requirements from it (Randjelovic et al., 2011).In Ethiopia, maize is one of the most important cereal crops grown.The total annual production and productivity (72, 248,481 and 00 kg) exceeds all other cereal crops except teff [Eragrostis tef (Zucc.)Trotter] in area coverage (Mosisa et al., 2012;CSA, 2014).Considering its importance, wide adaptation, total production and productivity, maize is regarded as one of the high priority food security crops in Ethiopia, the second-most populous country in the sub-Saharan Africa after Nigeria (CSA, 2011).
The mid-altitude sub-humid agro-ecology is considered to be the major maize-growing zone in Ethiopia (Legesse et al., 2012).However, maize production has remained low, with the estimated national average yield of 3.4 t ha -1 (CSA, 2014) compared to the world average yield estimated at 5 t ha -1 (FAOSTAT, 2012) due to several major constraints, including foliar diseases.
In western Ethiopia, turcicum leaf blight, TLB [Exserohilum turcicum (Pass.)Leonard & Suggs] and gray leaf spot, GLS (Cercospora zeae-maydis Tehon & Daniela and Cercospora sorghi var.maydis Ell.& Ev.) are the most important reported maize diseases.Farmers in the study area (46.7%) indicated TLB as the major leaf disease on maize.GLS is ranked as the second most important leaf disease in the area, as reported by 17.9% of the respondents (Wende et al., 2013).
Turcicum leaf blight incidence ranges from 95 to 100% in areas with constant moisture and high humidity and the yield loss can reach up to 70%.Turcicum leaf blight is reported to cause devastating damage on most commercial varieties of maize released in the country (Tewabech et al., 2012).According to Wende et al. (2013) turcicum leaf blight is ranked as the number one problem and is considered a high research priority of maize in Ethiopia.
The turcicum leaf blight injures or kills the leaf tissues and thereby reduces the area of green chlorophyll which manufactures food for the plant.If considerable leaf area is killed the vigour and yields are reduced.If much of the green area is killed, starch formation is restricted and the kernels become chaffy.The blighted leaves are not even suitable for fodder because of the lowered nutritional value (Pant et al., 2001).While turcicum leaf blight is known to be present under field environments little is known about the reaction of several maize varieties and effects of fungicides to the disease.Moreover, integration of varieties with fungicides to manage the TLB is not documented in the study area.Therefore, effort must be directed towards searching for turcicum leaf blight resistant varieties and effective management option(s) to reduce or manage the effect of TLB on yield and yield components of this crop.Therefore, this research was Debela et al. 7 undertaken with the following specific objectives to: 1. Determine the effect of maize varieties integrated with fungicides on epidemics of turcicum leaf blight; 2. Determine the effect of turcicum leaf blight severity on yield and yield components of maize; and 3. Assess the cost/benefit of using fungicides against turcicum blight.

Description of the experimental area
This experiment was conducted at Bako Agricultural Research Center (BARC).BARC lies between 9 o 6' N latitude and 37°09' E longitude with an altitude of 1650 m.a.s.l.The mean annual rainfall of the last 54 years is 1238.4mm and it has unimodal pattern of distribution.The rainy period goes from April to October.Maximum rainfall is received in the three months (June, July and August).BARC has a warm, humid climate with mean minimum, mean maximum and average temperatures of the last 54 years was 13.32, 28 and 20.6°C, respectively.Average relative humidity of BARC is 63.55%.The majority (60%) of the soil (1,400 ha) of BARC is reddish brown, clay and loam in texture (Wakene, 2000).
According to USDA soil classification, the soil is Alfisols developed from basalt parent materials and is deeply weathered and slightly acidic in reaction (Wakene, 2000).

Management of the experiment
Treatments were arranged in a factorial experiment using split plot design (varieties were assigned to subplots and fungicides as main plots to control drift problem while fungicide spraying) with three replications.Each plot consisted of six rows of 5.1 m long spaced at 75 cm apart and the distance between adjacent hills was 30 cm.At planting, two seeds were placed per hill and were thinned to one after establishment.A 100 kg ha -1 nitrogen fertilizer (46 kg N ha -1 from urea) was applied in two splits; half at planting and the rest at 37 days after emergence.All the trial management practices were based on the recommendation for the location.For weed control, hoeing, slashing and hand weeding were performed for all plots when necessary.

Inoculation and disease establishment
To ensure uniform disease infection, artificial inoculation was *Corresponding author.E-mail: megedebela@gmail.com.Tel: 0928644852.
Author(s) agree that this article remains permanently open access under the terms of the Creative Commons Attribution License 4.0 International License conducted according to procedures described by Reid and Zhu (2005) as follows: Maize leaves infected by TLB were identified by its classical symptoms and collected from a field in the previous year.The collected leaves were sun-dried and stored in the paper bag till the next cropping season.The presence of spores and mycelium of TLB were observed under microscope from stored maize leaves and then chopped and ground.A pinch (tea spoonful) of ground leaves were added into the whorl of maize plant at the fifth leaf growth stage.

Fungicide application
Mancozeb 75% WP (Dithane M-45) at rate of 2.6 kg ha -1 and propiconazole (Tilt) 25% EC at 350 ml ha -1 were applied using knapsack sprayer of a 15-L capacity.Control plots were sprayed with water only in the same manner with that of fungicide sprayed plots to minimize difference due to moisture.The area of sprayed main plot was bordered by plastic sheet at the time of fungicide spraying to minimize the risk of fungicide drift to the adjacent main plots.The fungicide was applied three times at 10-day-interval starting from the time lesions were visible on the three to five basal leaves of the susceptible variety.

Disease severity
Disease severity was recorded on twelve randomly-tagged plants per plot.It was assessed using the 1-5 standard disease scoring scale recommended by CIMMYT (www.cimmyt.org),where: 1 = very slightly infected, one or two restricted lesions on lower leaves or trace. 2 = slight to moderate infection on lower leaves, a few scatter lesions on lower leaves.3 = abundant lesions on lower leaves, a few on middle leaves.4 = abundant lesions on lower and middle leaves extending to upper leaves.5 = abundant lesions on all leaves, plant may be prematurely killed by blight.
The rating was made at seven-day interval starting at about 2 to 3% infection on the lower leaves of the susceptible variety, BH-543.
Then the severity scales were converted into percentage severity index (PSI) for analysis using the formula of Wheeler (1969) as follows:

Area under the disease progress curve (AUDPC)
The disease percent severity index (PSI) scores were used to calculate disease infection rate and Area under the disease progress curve (AUDPC) for each treatment.AUDPC was calculated with the formula suggested by Campbell and Madden (1990): Where, xi = is the cumulative percent severity index expressed as a proportion at the i th observation, ti = is the time (days after sowing) at the ith observation, and n = is total number of observations.
Since TLB percent severity index was expressed in percent and time (t) in days, AUDPC values was expressed in %-days (Wilcoxson et al., 1975).AUDPC-values were then used in analysis of variance (ANOVA) to compare amounts of disease among plots with different treatments (Gomez and Gomez, 1984).Logistic equation, ln [(Y/1-Y)], ( Van der Plank, 1963), was used for estimation of infection rate from each treatment.Treatment means were separated using the least significant difference (LSD) at 5% probability level.

Days to 50% tasseling
This was recorded as the number of days after emergence to the time when 50% of the plants emerged protruded tassels.

Days to 50% silking
This was recorded as the number of days after emergence to the time when 50% of the plants emerged protruded silk.

Days to maturity
This was recorded as the number of days after sowing to when 90% of the plants in a plot form black layer at the point of attachment of the kernel with the cob.

Thousand kernel weights (g)
Kernels were drawn randomly from each plot, counted manually and weighed in grams using sensitive balance.

Yield per plot and per hectare
Total grain yield harvested from the four middle rows was determined and adjusted to 12.5% moisture content as follows: Where: FW = Field weight harvested from four central rows of each plot; AMC = Actual moisture content; RDW = Recommended dry weight (Given) = 87.5;0.8 = Shelling % (Given).Then the yield per plot was converted into yield per hectare (tonnes ha -1 ).

Relative yield loss
Losses in grain yield were calculated as the difference between mean yield of protected plots and unprotected plots of the respective variety.Losses were calculated separately for each of the treatments using the formula developed by Robert and James (1991): Where, RYL = Relative yield loss; Y1 = mean yield of protected plots (plot with maximum protection).Y2 = Mean yield of unprotected plots (unsprayed plots).

Analysis of variance (ANOVA)
Data on turcicum leaf blight incidence and severity from each assessment date, yield and yield components, AUDPC, lesion size and all agronomic data were subjected to analysis of variance (ANOVA) using SAS software (SAS 2009 version).Mean separation was done based on the LSD at the 5% probability level and interaction effects were separated by SAS extension software PLGLM800 (P=0.05).

Correlation analysis
Correlation analysis was performed using SAS PROC CORR (SAS system windows 9) to determine relationship among disease assessment parameters, such as disease incidence, percent severity index, lesion size and area under disease progress curve (AUDPC) with yield and yield components.
Regression analysis was undertaken to determine the response of relationship between AUDPC and percent severity index score on yield of six maize varieties under different fungicide types.The goodness of fit for regression equation models was determined by evaluating the indictors; coefficient of multiple determinations (r) that explains proportion of the total variation of the dependent variable (yield) associated with independent variable, F-statistics that test the over all-significance of the regression equation at defined probability level.

Cost and benefit analysis
Prices of maize grain (Birr ton -1 ) were obtained from local markets and total sale from one hectare was computed.Price of seeds of each variety was collected from local market and farmers union in the localities.Price of mancozeb and propiconazole per kilogram and liters was assessed and the total price incurred to spray one hectare of maize was also calculated.Labor to spray those chemicals was computed.
The cost/benefit analysis for integrated TLB management options was performed using partial budget analysis or marginal rate of returns (CIMMYT, 1988).
The formula is as follows: Where, MRR = is marginal rate of returns, DNI = difference in net income compared with control, and DIC = difference in input cost compared with control.
The following points were considered during cost/benefit analysis using partial budget.
1. Since the experiment was based on a research field; yields produced were adjusted to 10% lower than values from research field, assuming the farmers farming condition.2. Costs for all agronomic practices were uniform for all varieties and treatments within the site; 3. Costs of labor and spray equipment was taken based on the price in the locality; and cost return and benefit were calculated per hectare basis.

Percentage severity index
Maize varieties showed a highly significant (p0.01)difference in TLB percentage severity index at all assessment dates.At the first date of disease assessment, the percent severity index of TLB on BH-543 was the highest (27.84%) score; and the lowest (26.56%) percent severity index of TLB was that of the moderately resistant varieties BH-661 and BH-546 (Table 1).
The percentage severity indices of TLB from the main plot effects (due to fungicides) were significantly different at the 69, 76, 83 and 90 DAP assessment dates.At 69 DAP assessment date, the TLB percent severity index (34.63%)on the untreated plot was significantly (p0.05)different from the indices due to mancozeb (33.68%) and propiconazole (32.57%) treated plots (Table 1).At 76 DAP, 83 DAP and last assessment date (90 DAP), the main plot effects showed highly significant (p0.01)difference in percent severity indices, in which the untreated plot exceeded the treated ones (Tables 1 and  2).
At the 90 DAP, there were significant differences in percent severity indices among fungicides, varieties and their interactions.The percent severity index (48.28%) of the untreated plot was higher than the ones treated with mancozeb (43.53%) and propiconazole (35.25%).This finding is consistent with the findings of Veerabhadraswamy et al. (2014) who reported lower percent severity index on propiconazole-treated (25.7%) and mancozeb-treated plots (38.9%) than the average of untreated plots (94.3%).Similarly, a previous study by Shachin (2009) indicated that fungicides resulted in significant differences in their efficacies to inhibit the growth of Exserohilum turcicum.Further, Rajeshwar et al. (2013) reported lowest percent of TLB severity index due to application of mancozeb (18.3%) and propiconazole (25.5%).
The varietal effects of the last percent severity index were highly significant (p0.01).The highest percent severity index (49.43%)on the variety BH-543 exceeded the severity levels on all other maize varieties and the lowest (36.86%) percent severity index was recorded on the variety BH-660 (Table 2), indicating the resistant reaction of the popular hybrid BH-660 and also this finding is in line with the previous finding showing BH-543 is the most susceptible and it is currently out of production due to its susceptibility to TLB.
The differences amongst the hybrids for grain yield and resistance to TLB diseases indicated the potential inherent genetic resistance in the hybrids, which can be exploited by breeders in their future breeding activities.Similarly, Daniel (2006) reported that TLB tolerant hybrids had few lesions on their foliage despite being subjected to the same disease pressure as the susceptible hybrids.Further, the mean value of the disease assessment for turcicum leaf blight varied considerably among locations due to environment and varieties, and the disease reached maximum percent severity index of 94.44% on susceptible varieties (Daniel, 2006).
The current finding revealed that there were significant differences between early maturing and late maturing maize hybrids in the level of disease severity.Assefa (1994) reported that blight resistance appeared to be associated with late maturity perhaps bound up with physiological changes within the plant.Percent severity index of TLB on resistant hybrid maize varieties was slightly increasing with time, as opposed to the susceptible ones, where the disease severity increase was remarkably high as time elapsed.
The effects of foliar fungicides by maize varieties interaction showed highly significant (p0.01)difference at 76 and 83 DAP.At the 76 and 83 DAP assessments, the untreated variety BH-543 showed the highest percent severity indices of 49.15 and 52.09%, respectively.The lowest percent severity indices at 76 DAP (30.07%) and 83 DAP (29.55%) were noted on propiconazole-treated varieties BH-546 and BH-661, respectively (Table 3).
Analyses of variance (ANOVA) of two-way interaction effects of TLB percent severity index at the 90 DAP showed a significant (p0.05)difference for fungicide by variety treatment combinations.The highest (58.83%)TLB percent severity index was recorded in the untreated plots of BH-543 variety treatment combinations, which was not significantly different from the untreated plots by AMHQ-760 variety.However, the lowest severities  4).The result of integration of fungicides by variety disease management options had the outstanding result for management of TLB disease.

Area Under Disease Progress Curve (AUDPC)
Area under the Disease Progress Curve (AUDPC) showed highly significant (p<0.01)difference among the main effects of maize varieties and fungicide treatments.
Previous works at Bako by Daniel et al. (2008) indicated that varieties considered as susceptible to TLB, such as Abobako, BH-540 and Local-M had AUDPC values higher than the resistant varieties Kuleni and BH-660.This finding is in agreement with the present finding.The AUDPC values for BH-543 and AMHQ-760 were highly and significantly (p0.01)different from the AUDPC values from other varieties.The AUDPC values for the variety BH-660 were lower by 368.44 and 317.53%-days than the values for BH-543 and AMHQ-760, respectively.
The two-way interaction effects of fungicide application by maize variety showed significant (p0.05)difference among different treatment combinations (Table 4).The highest (1928.13%-days)AUDPC values were noted on the susceptible variety BH-543, followed by AUDPC value of 1863.63%-days on the variety AMHQ-760 grown on untreated plots compared to all treatment combinations.AUDPC of the varieties BH-543, AMHQ-760, BH-546 and BH-661 treated with propiconazole showed significant (p0.05)difference with the respective same varieties treated with mancozeb and untreated control plots (Table 4).

Progress rate of TLB on hybrid Maize varieties and fungicide application
There were highly significant (p0.01)differences on  -1 , respectively (Table 5).These results indicated that the disease progressed considerably on BH-543 and AMHQ-760 varieties, which was 6.08 times faster than the disease progress rate on the variety BH-661.
Disease progress rates of the resistant varieties, namely BH-546, BH-660, and BH-661 showed little increase starting from the time of disease onset onwards, while the susceptible varieties AMHQ-760, BH-540 and BH-543 showed variability in disease progress rates through their growing period (Figure 1).
Analyses of the main effects of fungicide application revealed significant difference (P≤0.05) starting from 69 DAP.Untreated and mancozeb-sprayed maize plots increased in infection rate, while the infection rate on propiconazole-treated plots decreased starting from fungicide spraying dates onwards.The last disease progress rates were significantly different among the sprayed and unsprayed plots.Propiconazole-sprayed plots had the slowest (0.015717 units-day -1 ) progress rate, which was 2.6 times smaller than that of the progress rate on the unsprayed plots.
The overall data calculated for disease progress rates also showed highly significant (p0.01)difference among hybrid maize varieties in the final assessment.During the last disease progress assessment, the fastest disease progress rate (0.032782 units-day -1 ) was for the variety BH-543, which had a significant difference from the other hybrid maize varieties and the slowest (0.019503 unitsday -1 ) was for the hybrid maize variety BH-660 (Table 6).This result further confirmed the reaction of BH-543 and BH-660 as susceptible and resistant, respectively, in line with earlier findings.The two-way interaction analyses of fungicide application by varieties showed significant difference from 76 DAP onwards.The last calculated disease progress rates were significantly different from each other for the same varieties sprayed and unsprayed treatments regardless of the mancozeb-treated variety BH-540, and the propiconazole-treated variety BH-540 as well as the untreated variety BH-661 and the mancozeb-treated variety BH-661, which had no significant difference in disease progress rates (Table 7).
Accordingly, the unsprayed variety BH-543 (with rvalue of 0.044337 units-day -1 ) and AMHQ-760 (with rvalue of 0.04384-units-day -1 ) exhibited the fastest Mean values with the same letter within a column are not significantly different at described probability level; CV = coefficient of variation; a = standard error of main factor; b = Coefficient of determination or proportion explained by the model, P = Significance probability level of rates when regressed over time.) disease progress rate.The disease progress rate of the unsprayed susceptible variety BH-543 was 2.86 times faster than the propiconazole-treated plots.This indicates that propiconazole reduced the TLB progress rate significantly.The range of apparent infection rate in this experiment (0.011-0.0443 unit-day -1 ) was slightly lower than the range (0.05-0.20 unit-day -1 ) reported by Levy (1989), but it was closer to the range (0.019-0.032 unit-day -1 ) reported by Harlapur et al. (2008).

Days to physiological maturity
The main effects of fungicide application showed no significant (p>0.05)difference on days to 50% tasselling, Table 6.Main effects of fungicide application and varieties on the last progress rate (units-day -1 ) of TLB on maize hybrids at Bako in 2014 main cropping season.

Factors
Final TLB progress rate SE of (r) silking and 90% physiological maturity of hybrid maize varieties (Table 8).However, varietal effect showed significant (p0.05)difference on days to 50% tasselling, silking and 90% physiological maturity.The mean days to Mean values with the same letter within a column are not significantly different at described probability level.Ns = Non significant and LSD = Least significant difference.
90% physiological maturity of 152,153,157,157 and 154 days,respectively (Table 8).This could be due to the inherent genetic makeup of the hybrid maize varieties.Interaction effect of fungicide with variety showed no significant difference on days to 50% tasseling, silking and days to 90% physiological maturity.

Grain yield
The yield produced showed significant difference for main effects and integration effects of varieties with fungicides.
The main effects of fungicide application showed highly significant (p0.01)difference in hybrid maize grain yield (Table 9).The highest (9,193.8kg ha -1 ) maize yield was ) was obtained from the unsprayed hybrid maize plots.
The ANOVA for grain yield showed highly significant (p0.01)difference among the hybrid maize varieties.The variation in mean grain yield between the tested hybrid maize varieties was attributed to their genetic potential for yield and disease resistance.Accordingly, the variety BH-546 gave the highest (9,331.2kg ha -1 ) mean grain yield, followed by the variety BH-661 (8,375.3kg ha -1 ) that was significantly different from the other hybrid maize varieties.The analysis of mean grain yields of other maize varieties did not show any significant (p0.05)differences among themselves (Table 9).The analysis of the two-way interaction of fungicides by varieties also showed significant (p0.05)difference in hybrid maize grain yield.The highest (11,383 kg ha -1 ) grain yield was obtained from propiconazole-sprayed variety BH-546 and the lowest (5088 kg ha -1 ) yield was from the unsprayed maize variety AMHQ-760 (Table 10).Propiconazole-sprayed treatments significantly (p0.05)differed in grain yields from the untreated and mancozeb-sprayed plots of the hybrid maize varieties BH-543, BH-546 and BH-660.Also, the unsprayed plots of the varieties BH-540 and AMHQ-760 showed significant (p0.05)differences in grain yield from those of propiconazole-and mancozeb-sprayed plots of the same maize varieties.

Thousand kernel weight (TKW)
The ANOVA of the main and interaction effects showed significant (p0.05)difference among the treatments in thousand kernel weight (TKW) regardless of the main effects of fungicide applications (Table 9).The result showed significant (p0.05)difference in TKW between BH-660 and BH-546 and also both of these varieties significantly (p0.05)differed from all other hybrid maize varieties.The hybrid maize variety BH-540 significantly (p0.05)differed in TKW from both AMHQ-760 and BH-546 maize hybrids (Table 9).However, there were no significant difference among the maize varieties BH-543, BH-661 and AMHQ-760.The significant difference in TKW among the three varieties was attributed to the difference in their genetic makeup.
The two-way interaction effects of fungicide by variety showed non-significant difference in TKW for the varieties BH-660 and AMHQ-760 integrated with all the fungicide applications.The highest (423.3 g) TKW was obtained when the hybrid maize variety BH-660 integrated with propiconazole spray and the lowest (260 g) was obtained when the plots of the maize variety BH-546 were sprayed with mancozeb fungicide.Propiconazole-sprayed treatments of the maize varieties BH-543 and BH-546 significantly (p0.05)differed in TKW from the untreated and mancozeb-sprayed plots.But on the maize variety BH-540, the unsprayed plots showed significant (p0.05)difference in TKW from propiconazole and mancozebsprayed plots.In these interactions, no significant difference was observed between integration of variety and fungicide application for each of the varieties BH-661 and AMHQ-760 (Table 10).

Relative yield loss
Relative yield losses of maize varieties were calculated from their respective treatments that offered maximum protection and maximum yield.The maximum protected (propiconazole-sprayed) treatment was used as a reference for BH-543, BH-546, BH-660, BH-661 and AMHQ-760 varieties to calculate their relative yield losses and for maize variety BH-540 the mancozeb-sprayed plots was used.These plots had significantly lowest TLB percent severity index, highest yield and no or low yield losses.The highest (33.36%) relative yield loss was recorded from the unsprayed plots.
In the present experiment, disease progress rates and yield reduction (relative yield losses) were determined by the resistance of each variety.Mean yield losses calculated for all the hybrid maize varieties revealed that BH-543 had the highest (26.9%) relative yield loss and the variety BH-540 had the lowest (12.7%) relative yield loss (Table 9).Similarly Raymundo and Hooker (1981) observed yield reduction in the order of 63, 43 and 17% for early maturing, susceptible hybrid; a hybrid with polygenic resistance; and hybrid with Ht and polygenic resistant, respectively.
Generally, in hybrid maize varieties BH-540, BH-543, BH-546, BH-660, BH-661 and AMHQ-760, the respective relative grain yield losses of 33.68, 40.70, 28.41, 27.42, 35.36 and 34.21% were recorded in the fungicide unsprayed treatments (Table 11).The current results confirm the effectiveness of fungicide integration with maize varieties in reducing the adverse effects or epidemics of TLB.Krausz et al. (1993) reported grain yield loss of susceptible hybrids ranging from 40 to 50%.Babu et al. (2004) reported turcicum leaf blight incidence on maize at Almora and it attained epidemic proportion resulting in 83% yield reduction.

Association of disease parameters with yield and yield components
The percent severity indices, AUDPC-values and disease progress rates were negatively correlated with yield components regardless of relative yield losses.This result is in agreement with the findings of Daniel (2006) who reported that disease parameters of TLB significantly, but negatively, affected the yield components of hybrid maize.However, the significant association depended on the hybrid maize varieties and their respective disease parameters (Table 11).
Most of the disease parameters were not significantly associated with the maize variety BH-540.The only significant associations were observed on AUDPC (r = -0.73)and disease progress rate (r = -0.75)associated with the number of rows per plant.On the susceptible variety BH-543, most of the disease parameters were strongly (negatively or positively) associated with grain yields and relative yield losses.Percent severity index assessed at 90 DAP had the strongest negative association with maize grain yield (r = -0.81),relative yield loss (r = 0.80) and TKW (r = -0.81)above all other disease parameters.
On another susceptible hybrid maize variety, AMHQ-760, most of the disease parameters was strongly associated with grain yield and relative yield losses.Grain yield of this variety was significantly associated with TLB percent severity index assessed at 90 DAP and AUDPC.Strong associations was observed between disease progress rates with ear size (r = -0.83),and followed by relative grain yield loss (r = 0.80).
On the hybrid maize varieties BH-546, BH-661 and BH-660, even if all disease parameters were negatively correlated with yield parameters, associations were mostly non-significant.For the maize variety BH-546, there were strong associations of the maize ear size in line with TLB percent severity index (r = -0.87),AUDPC (r = -0.88)and disease progress rates (r = -0.87).On the maize variety BH-660, the only significant association was that of the disease progress rate correlated with the ear size.
To evaluate the association of maize grain yield with TLB parameters, generally, the good estimator of the degree of association was different among the susceptible and moderately resistant varieties.For instance, disease percent severity index assessed at 90 DAP was strongly associated with yield on susceptible hybrid maize varieties, while the disease progress rate was strongly associated with yield on moderately resistant varieties.Similarly, Daniel (2006) indicated that maize grain yield was significantly affected by variety but no significant difference was observed among varieties for TKW.

Models for estimating relationships between percent severity index and AUDPC with grain yield
Regression of TLB percent severity index and AUDPC  values on grain yield data revealed significant difference as compared to regressions of other disease parameters on yield for all hybrid maize varieties.Therefore, these two parameters (percent severity index and AUDPC) could be used as good predictors and grain yield as dependent variable to estimate hybrid maize grain yield losses.
The percent severity index calculated for the last date disease assessment data revealed better coefficient of determination and showed significant relationship with yield for the maize varieties BH-543 (R 2 = 66.88) and AMHQ-760 (R 2 = 61.79)(Figure 2).However, for the maize varieties BH-540 (R 2 = 13), BH-660 (R 2 = 20), BH-546 (R 2 = 30.6)and BH-661 (R 2 = 38.9),AUDPC predicted grain yield losses better than the TLB percent severity index because R 2 of AUDPC was higher than that of the R 2 for percent severity index (Figure 3).The regression equations illustrated that for every 1% increase in disease percent severity index assessed on the varieties at the final day of assessment, there were grain yield losses of 142.2, 170.83, and 50.8 kg ha -1 for the maize varieties AMHQ-760, BH-543 and BH-660, respectively (Figure 2A to C).Similarly, based on the regression equations, for every 1% increase in AUDPC there were 7.9, 6.9 and 10.3 kg ha -1 yield losses that were calculated for the varieties BH-540, respectively (Figure 3A to C).

Cost/benefit analysis
The employment of integrated TLB management resulted in higher maize grain yield, gross revenue, marginal benefit and marginal rate of return (MRR) than use of the control group alone, excluding the grain yields from mancozeb-treated BH-543, BH-546 and BH-660 that showed less marginal benefit and marginal rate of return than the control plots.Since the dominance analysis carried out before the analysis of the marginal rates of return revealed that these treatments were dominated by other treatments, they were not included in the analysis of the marginal rate of return.
An easier way of demonstrating the relationship of cost and benefit is calculation of the marginal rate of return, which is the rate of return of the marginal net benefit (that is, the change in net benefits) divided by the marginal cost (that is, the change in costs), expressed as a percentage.The highest (ETB 633.30) marginal rate of return was obtained from BH-543 when it was treated with propiconazole, followed by BH-661 (ETB 548.10) treated with propiconazole.In other words, for every ETB1.00 investment in propiconazole cost and spraying, there was a gain of ETB 6.33 for the maize variety BH-543 and ETB 5.48 for the variety BH-661.
Generally the highest maize grain yield, highest marginal benefit, and marginal rate of return were obtained from the moderately resistant maize varieties BH-546 and BH-661 as compared to the other treatment combinations at Bako.So from the economic point of view, production of hybrid maize varieties BH-543, BH-546 and BH-661 under propiconazole-spraying practices is the most profitable of all other integrated management

1 .
Turcicum leaf blight (TLB) (Exserohilum turcicum) is a major disease affecting maize production in western Ethiopia.The objectives of this study were to determine the effect of maize varieties integrated with fungicides on epidemics of turcicum leaf blight; to determine the effect of turcicum leaf blight severity on yield and yield components of maize; and to assess the cost and benefit of using fungicides.The field experiment was conducted at Bako Agricultural Research Center in 2014 main cropping season using six maize varieties (BH-540, BH-543, BH-546, BH-660, BH-661 and AMHQ-760) integrated with foliar sprays of the systemic fungicide propiconazole (Tilt) at the rate of 350 ml ha -1 and the contact fungicide mancozeb (Dithane M-45) at 2.6 kg ha -The experiment was arranged in 3 × 6 factorial combinations in split plot design with three replications.A pinch of ground maize leaf infected by E. turcicum was inoculated at third-fifth leaves.Unsprayed plots were left as control or check for each variety.Disease severity was scored using 1 to 5 scale on 12 randomly-tagged plants in the central rows.Integration effects of varieties with fungicides significantly affected the grain yield and thousand kernel weight (TKW) of maize varieties.The highest (hybrid maize variety BH-546.Turcicum leaf blight resulted in grain yield losses of up to 40.7% on the unsprayed plots of the susceptible variety BH-543.Percent severity index, AUDPC, incidence and disease progress rates were negatively correlated with yield components regardless of grain yield loss.The highest marginal benefit (ETB 48,801.28ha INTRODUCTION Maize (Zea mays L.

Figure 1 .
Figure 1.Turcicum leaf blight progress rates on different maize varieties at Bako during 2014 main cropping season.

Figure 2 .
Figure 2.Estimated relationships between maize TLB severities and grain yields of three maize varieties at Bako in 2014 main cropping season.A, B & C: Percent severity index vs yields of the maize varieties AMHQ-760, BH-543 and BH-660, respectively.

Figure 3 .
Figure 3.Estimated relationships between maize TLB AUDPC and grain yields of three maize varieties at Bako in 2014 main cropping season.A, B and C: Percent severity index vs.grain yields of the maize varieties BH-540, BH-546 and BH-661, respectively.

Table 1 .
Analysis of variance for phonological, agronomic and yield characters of 12 common bean varieties evaluated at Raya Valley, southern Ethiopia.

Table 2 .
Mean for phonological, agronomic and yield characters of 12 common bean varieties evaluated at Raya Valley, southern Ethiopia.

Table 1 .
Effects of fungicides and maize varieties on TLB percent severity index assessed at different dates after planting (DAP) at Bako during 2014 main cropping season.
Mean values with the same letter within a column are not significantly different at described probability level; CV = Coefficient of variation; LSD = Least significant difference at 5% and 1% probability level.Mean values with the same letter within a column are not significantly different at described probability level; CV = coefficient of variation; LSD = Least significant difference; AUDPC = Area under disease progress curve; 1 PSI = Percent severity index assessed at 90 DAP.

Table 3 .
Two-way interaction effects of fungicide application by variety on TLB percent severity index on hybrid maize varieties at Bako in 2014 cropping season.
Mean values in the same letter within a column are not significantly different at 5% probability level; Ns = Non-significant and DAP = Days after planting.

Table 4 .
Two-way interaction effects of fungicide application by variety on TLB percent severity index and AUDPC on hybrid maize varieties at Bako in 2014 cropping season.

Table 5 .
Main effects of fungicide application and varieties on the initial progress rate (units-day -1 ) of TLB on maize hybrids at Bako in 2014 main cropping season.

Table 7 .
Mean values with the same letter within a column are not significantly different at described probability level; CV = Coefficient of variation; a = standard error of main factor; b = Coefficient of determination or proportion explained by the model; P = Significance probability level of rates when regressed over time.Integrated effect of fungicide application by varieties on progress rate (units-day-1) of TLB on maize hybrids.
Mean values with the same letter within a column are not significantly different at 5% probability level; CV = Coefficient of variation; a = standard error of main factor; b = Coefficient of determination or proportion explained by the model, P = Significance probability level of rates when regressed over time.

Table 8 .
Effects of fungicide and hybrid maize varieties on days to 50% tasselling and silking, and days to 90% physiological maturity at Bako in 2014 main cropping season.Mean walues with the same letter within a column are not significantly different at 5% probability level.NS = Non-significant and LSD = Least significant difference.

Table 9 .
Main effects of maize varieties and fungicides on mean grain yields, TKW and yield losses of maize hybrids at Bako in 2014 main cropping season.

Table 10 .
Integrated effects of maize varieties by fungicides on mean grain yields of TKW and yield losses of maize hybrids at Bako in 2014 main cropping season.

Table 11 .
Association of disease parameters with yield components at Bako in 2014 main cropping season.

Table 12 .
Cost/benefit assessment of fungicide application against TLB on six hybrid maize varieties at Bako in 2014 main cropping season.