Research - (2022) Volume 12, Issue 5
Field assessment of commercial wheat varieties, advanced lines and trap nurseries against yellow rust in South East Ethiopia
G.M. Abebele1*, A.A. Zerihun1, T.N. Gure1, D.K. Habtemariam1, L.T. Hadis1 and F.Y. Belayineh2Abstract
Wheat rusts caused by Puccinia spp. is economically significant foliar syndrome in the main wheat-growing areas of Ethiopia. Safeguard of wheat from rust diseases has very exceptional worth to be profitable and reduce hunger. Screening of wheat genotypes against rust and monitoring of race development and monitoring of variability in wheat rust pathogens by international trap nurseries is vital to mitigate rust impact. In this experiment, resistance to wheat yellow rusts of 119 wheat germplasm comprising varieties, advanced lines along with 19 international yellow rust trap rust nurseries were studied under natural infection in 2018-2019 years in different geographic zones of Ethiopia. The information of this finding revealed that majority of the test cultivars displayed susceptible reaction to the prevalent yellow rust races. However, few cultivars and candidate lines exhibited lower diseases severities. Among the differentials, Yr5+, Yr10 and Yr15 are still effective to the prevalent yellow rust races. Thus, those candidate wheat genotypes tested in this experiment and showed lower diseases severities will contribute a significant role to wheat breeding program in diversification and development of cultivars with durable or long lasting resistance.
Keywords
Bread, durum, genotype, septoria tritici blotch, wheat.
Introduction
Wheat is one of the world’s most important staple grains and is the leading source of calories and plant-derived protein in human food (Curtis et al., 2002), with an annual global production of 772.6 million tons (Statista, 2021). A latest valuation of wheat production by the Food and Agricultural Organization of the United Nations shows that current wheat quantity is ample for global demand (http://www.fao.org/world food situation/csdb/en/). Nevertheless, future production must increase as the global population is growing fast, projected to exceed nine billion people by 2050 (Edmeades et al., 2010).
In Ethiopia, the annual wheat production is around 5.8 million tons with mean productivity of 3 tons per hectare (tha−1) (CSA 2021), which is quite lower than the realizable harvest of the yield, attainment up to 5 tha−1 (Zegeye et al. 2020). Wheat accounts for about 17% of total grain production in Ethiopia making it the third principal cereal crop after teff (Eragrostis tef (Zucc.) Trotter] and maize (Zea mays L.) (CSA 2021). In general, the agricultural, production growth shows oscillating trends compared to population growth (Wuletaw Mekuria, 2018).
Thus, there should be a serious necessity to produce highly productive crops like wheat to feed the world population soon (Weigand, 2011). Despite, the rapid increment of wheat in area coverage and grain yield, about 15-20% yield losses per annum are recorded due to fungal diseases of which rusts come first (Melania et al. 2018).
Wheat rust pathogens are the key constraints of global wheat production since the domestication of the crop and continue to threaten the world’s wheat supply (Roelfs et al., 1992). It is expected that universal yearly losses to wheat rust pathogens array between US$ 4.3 to 5.0 billion (P. Pardey, University of Minnesota, unpublished); even escalate up to 5.5 million tons per year at worldwide level due to yellow rust alone (Beddow et al. 2015). While in Ethiopia, the recurrent rust outbreaks lead to substantial economic losses, which are estimated to be of the order of 10s of millions of US-D annually (Meyer, et al. 2021).
During the past decades the epidemic of wheat rust and associated losses was more sever causing global concern to wheat production. To tackle the issue, breeding of new varieties and their implementation is economically and ecologically reasonable method for control rust diseases. However, the continuous evolution of new pathotypes which is exacerbated by climatic stress, especially in rainfed areas and airborne nature pose a serious threat to wheat production worldwide.
Trap nursery consists of isolines with confrontation genes, genetic stocks for additional Yr, Sr and Lr genes, selected differentials, wheat diversities resonant blends of key resistance genes, and main commercial varieties presently cultivated in diverse regions. Rusts trap nurseries are targeted for wheat growing areas and are planted at sites anywhere rusts is identified to occur naturally every year with the objective to collect information on virulence and race formation of rusts, behavior of resistant and susceptible varieties, tested under different environmental conditions. Thus, the nurseries are very imperative for Ethiopia, where all three rusts are accessible essentially everywhere where cereals are grown.
Materials and Methods
Description of the study areas
The experiment was executed at three yellow rust hotspot locations viz; Meraro and Bekoji (research stations) and Kulumsa (main research center) of Arsi Zone South eastern Ethiopia. Meraro substation is situated at 07°24'27''N, 39°14'56''E and 2990 m.a.s.l. Its regular annual rainfall is 1196 mm signifying extreme highland and frost prone agro ecology. The lowest and supreme hotness is 5.7 and 18.1°C, respectively. Bekoji location is found at latitude 07°32’37’’ N and longitude 39°15’ 21’’ E with an altitude of 2780 meter above sea level. The maximum and minimum temperature was 3.8 and 20.4°C respectively with annual rain fall 939 mm. Kulumsa research center is located at 08°01'10''N, 39°09'11''E and at 2200 meters above sea level (m.a.s.l). The site gets mean yearly rainfall of 820 mm representing highland and high rainfall agro ecology. The regular mean least and supreme hotness is 10.5 and 22.8°C, respectively. The sites foremost soil type is loam type, which is fertile (Birhan Abdulkadir, 2011).
Planting materials
A set of 119 bread and durum wheat genotypes comprising commercial cultivars, advanced breeding lines and differentials lines obtained from Ethiopian national bread wheat breeding program were studied under natural infection in 2018-2019 years in at three different locations of Ethiopia.
Field layout and diseases assessment
To assess the intensity of slow rusting of wheat genotypes in the field, test materials and checks were arranged in augmented design. The entries were established in plots comprising of paired rows of 1 m long with spacing of 0.2 m intra row, 1 m between blocks and 0.5 m between plots. Plots were seeded in 150 kg ha-1 DAP and urea fertilizers were applied based on the recommended rate to the area. Weeds were managed by hand weeding. Disease severity notes were taken by estimating the approximate percentage of leaf area affected using modified Cobb scale (Petrson et al., 1948). Data recording was started from the first appearance of yellow rust on the susceptible check and continued every 14 days from all plants until the early dough stage (Large, 1954). Scorings of disease severity and response were noted together with severity first followed by infection type. The host response is as: TR=trace severity of resistant type infection; 10R-MR=10% severity of resistant to moderately resistant infection type; 20MR=20% severity of a moderately resistance infection type; 30MR-MS=30% severity of a moderately resistance to moderately susceptible; 40MS=40% severity of a moderately susceptible; 50MS-S=50% severity of a moderately susceptible to susceptible; and 70S=70% severity of susceptible infection types. The data acquired from disease severities and host reactions were combined to compute coefficient of infection (ACI) (Ali et al. 2007).
Results and Discussion
Among the three locations, Meraro is characterized as too cold, high altitude and low temperature makes more conducive to occurrences of yellow rust compared with two locations; Bekoji and Kulumsa. In 2019 yellow rust developed more vigorously than 2018 since the crop season was more favorable. 2018 crop season was manifest by arid conditions along all the three locations and yellow rust developed very weakly than in 2019.
In 2018 a total of 115 wheat genotypes were evaluated of which 47.8%, 73.9% and 68.7% of tested entries had lower or, ≤ 20 average coefficient of infections were recorded at Meraro, Bekoji and Kulumsa respectively; indicating that maximum diseases pressure was avail at Meraro. The growing year was a little bit arid as compared with 2019; thus many of the tested wheat genotypes have disease severity of 0 to 80S while on universal susceptible check “Morocco” scored 90S (Tables 1 and 2) (Fig. 1). Most of mega and popular bread wheat cultivars which covered majority of wheat growing areas in research area like (Ogolcho, Kubsa, Hidassie, Dandaa’ Kingbird and Digalu) showed susceptible reaction near to similar severity levels to the universally susceptible check and local susceptible check Morocco and PBW343 respectively.
S.No | Genotypes | 2018 | 2019 | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Meraro | Bekoji | Kulumsa | Meraro | Bekoji | Kulumsa | ||||||||
TRS | CI | TRS | CI | TRS | CI | TRS | CI | TRS | CI | TRS | CI | ||
1 | Laketch | 60S | 60 | 60S | 60 | 80S | 80 | 90S | 90 | 80S | 80 | 80S | 80 |
2 | Kenya Nyangumi | 10MS | 8 | 10MS | 8 | 5MR | 2 | 30MS | 24 | 30S | 30 | TMR | 0.8 |
3 | Kenya Leopard | 10MR | 4 | 5MR | 2 | 5MR | 2 | 20MS | 16 | 50S | 50 | 10MR | 4 |
4 | Africa Mayo | 30MS | 24 | 5MR | 2 | TR | 0.4 | 15MR | 6 | 10S | 10 | 5MR | 2 |
5 | Trophy | 20MS | 16 | 10MS | 8 | 10MS | 8 | 40MS | 32 | 70S | 70 | 10MR | 4 |
6 | Bounty | - | - | - | - | - | - | 40S | 40 | 50S | 50 | 10MS | 8 |
7 | Bonny | 10MR | 4 | 5MR | 2 | 0 | 0 | 20MS | 16 | 40S | 40 | TMR | 0.8 |
8 | Frontach | 30MS | 24 | 20MS | 16 | 30MS | 24 | 60S | 60 | 50S | 50 | 40S | 40 |
9 | Kenya Kudu | 40MSS | 36 | 20S | 20 | 40S | 40 | 60S | 60 | 60S | 60 | 50S | 50 |
10 | Enkoy | 10MR | 4 | TMR | 0.8 | TMS | 1.6 | 70S | 70 | 70S | 70 | 60S | 60 |
11 | K6290 Bulk | 40S | 40 | 40S | 40 | 20MS | 16 | 70S | 70 | 80S | 80 | 70S | 70 |
12 | K6295-4A | 40S | 40 | 40S | 40 | 50S | 50 | 80S | 80 | 60S | 60 | 60S | 60 |
13 | ET13A2 | 40S | 40 | 20S | 20 | 40S | 40 | 70S | 70 | 60S | 60 | 50S | 50 |
14 | Pavon 76 | 40S | 40 | 30S | 30 | 40S | 40 | 30S | 30 | 40S | 40 | 30S | 30 |
15 | Dashen | 5MR | 2 | 0 | 0 | 15S | 15 | 15MR | 6 | 10MS | 8 | TMS | 1.6 |
16 | Mitike | 70S | 70 | 20S | 20 | 40S | 40 | 70S | 70 | 60S | 60 | 50S | 50 |
17 | Galema | 30S | 30 | 5MR | 2 | 10MR | 4 | 40S | 40 | 40S | 40 | 30MS/S | 24 |
18 | Kubsa | 60S | 60 | 50S | 50 | 60S | 60 | 80S | 80 | 80S | 80 | 80S | 80 |
19 | Abola | 50S | 50 | 30S | 30 | 50S | 50 | 80S | 80 | 80S | 80 | 80S | 80 |
20 | ETBW6809 | 5MR | 2 | 0 | 0 | TMR | 0.8 | 20MR | 8 | 10MS | 8 | TMR | 0.8 |
21 | Tusie | 40S | 40 | 30S | 30 | 10MR | 4 | 20MS | 16 | 20S | 20 | 15MS | 12 |
22 | Katar | 60S | 60 | 10MR | 4 | 60S | 60 | 40S | 40 | 70S | 70 | 50S | 50 |
23 | Shina | 20MS | 16 | 30S | 30 | 20MR | 16 | TMR | 0.8 | 5MSMR | 4.5 | TMS | 1.6 |
24 | Tura | 20MS | 16 | 5MR | 2 | 10MR | 4 | 30MSS | 27 | 60S | 60 | 40S | 40 |
25 | Hawi | 40S | 40 | 10MR | 4 | 30S | 30 | 80S | 80 | 80S | 80 | 70S | 70 |
26 | Madda Walabu | 30S | 30 | 20MS | 16 | 30MS | 30 | 80S | 80 | 80S | 80 | 80S | 80 |
27 | Simba | 20S | 20 | 10MR | 4 | 40S | 40 | 10MR | 4 | TMS | 1.6 | 5MR | 2 |
28 | Sofumar | 80S | 80 | 60S | 60 | 70S | 70 | 90S | 90 | 80S | 80 | 80S | 80 |
29 | Wetera | 40S | 40 | 40S | 40 | 5MR | 2 | TMS | 1.6 | 10MS | 8 | 0 | 0 |
30 | Dodota | 40S | 40 | 20MS | 16 | 5MS | 4 | 90S | 90 | 0 | 8 | 30S | 30 |
31 | Dure | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | TMR | 0.8 |
32 | KBG-01 | 80S | 80 | 30S | 30 | 30MS | 24 | 90S | 90 | 85S | 85 | 60S | 60 |
33 | Sirbo | 30S | 30 | 40S | 40 | 20S | 20 | 20MS | 16 | 20S | 20 | 30SMS | 27 |
34 | Bobicho | 50S | 50 | 30S | 30 | 50S | 50 | 40S | 40 | 50S | 50 | 60S | 60 |
35 | Tossa | 50S | 50 | 30S | 30 | 20MS | 16 | 90S | 90 | 80S | 80 | 60S | 60 |
36 | Meraro | 30S | 30 | 5MR | 2 | 10MR | 4 | 40S | 40 | 40S | 40 | 10MS | 8 |
37 | Senkegna | 10MSS | 9 | 10MR | 4 | 0 | 0 | 10MR | 4 | 10MR | 4 | 0 | 0 |
38 | Tay | 10MR | 4 | 0 | 0 | 0 | 0 | TMR | 0.8 | TS | 0.2 | 0 | 0 |
39 | Sulla | 80S | 80 | 50S | 50 | 60S | 60 | 80S | 80 | 80S | 80 | 80S | 80 |
40 | Alidoro | 30MSS | 27 | 5MR | 2 | 10MSMR | 6 | 40MSS | 36 | 40S | 40 | 20SMS | 18 |
41 | Millennium | 10MSS | 9 | 0 | 0 | 10S | 10 | 80S | 80 | TMS | 1.6 | TMR | 0.8 |
42 | Dinknesh | 5MR | 2 | 0 | 0 | TS | 2 | 10MR | 4 | 0 | 0 | 0 | 0 |
43 | Menze | 60S | 60 | 30S | 30 | 50S | 50 | 80S | 80 | 60S | 60 | 60S | 60 |
44 | Kulkulu | 80S | 80 | 30S | 30 | 50S | 50 | 90S | 90 | 70S | 70 | 80S | 80 |
45 | Bolo | 50S | 50 | 10MR | 4 | 50S | 50 | 90S | 90 | 60S | 60 | 60S | 60 |
46 | Danda'a | 20MS | 20 | 5MR | 2 | 20MS | 16 | 60S | 60 | 60S | 60 | 20MS | 16 |
47 | Kakaba | 40S | 40 | 20MS | 16 | 10MR | 4 | 70S | 70 | 60S | 60 | 40S | 40 |
48 | Hoggana | 40S | 40 | 20MS | 16 | 40S | 40 | 50S | 50 | 60S | 60 | 10MR | 4 |
49 | Shorima | 30MSS | 27 | 0 | 0 | 5MSMR | 3 | 60S | 60 | 40S | 40 | 10MR | 4 |
50 | Huluka | 30MSS | 27 | 10MR | 4 | 20MS | 16 | 70S | 70 | 40S | 40 | 10MR | 4 |
51 | Gambo | 30MSS | 27 | TR | 0.4 | 20MS | 16 | 60S | 60 | 50S | 50 | 30S | 30 |
52 | Galil | 10MS | 8 | 0 | 0 | 20MS | 16 | 50S | 50 | 50S | 50 | 50S | 50 |
53 | Jafersson | 20MSS | 18 | 10MS | 8 | 10S | 10 | 60S | 60 | 40S | 40 | 30S | 30 |
54 | Tsehay | 5MR | 2 | TMR | 0.8 | 5MR | 2 | 60S | 60 | 20MR | 8 | TMR | 0.8 |
55 | Arendeto | 10MS | 8 | 10MR | 4 | 0 | 0 | TMR | 0.8 | TMS | 1.6 | 15MR | 6 |
56 | Hitossa | 2MR | 0.8 | 0 | 0 | 0 | 0 | TMR | 0.8 | 0 | 0 | TMS | 1.6 |
57 | Werer | 5MR | 2 | 0 | 0 | TMR | 0.4 | TMR | 0.8 | TMS | 1.6 | 5MS | 4 |
58 | Denbi | 0 | 0 | 0 | 0 | TS | 2 | TMR | 0.8 | TMS | 1.6 | TMR | 0.8 |
59 | Selam | 30MSS | 27 | 10MR | 4 | 5MR | 2 | 60S | 60 | 40S | 40 | 10MS | 8 |
60 | Megenagna | 10MR | 4 | 10MR | 4 | 5MR | 2 | 40S | 40 | 20MS | 16 | 10MR | 4 |
61 | Mettaya | 0 | 0 | TR | 0.4 | 0 | 0 | TMR | 0.8 | TMR | 0.8 | TMR | 0.8 |
62 | Ejersaa | 2MR | 0.8 | 5MR | 2 | TMS | 1.6 | TMR | 0.8 | TMR | 0.8 | 0 | 0 |
63 | Flakit | 0 | 0 | TMR | 0.4 | 5MR | 2 | 40S | 40 | TS | 2 | 60S | 60 |
64 | Malefia | 50S | 50 | 50S | 50 | 30S | 30 | 20MR | 16 | 20MS | 16 | 80S | 80 |
65 | Mossobo | 30MSS | 27 | 10MR | 4 | 5MSMR | 3 | 40S | 40 | 20S | 20 | 60S | 60 |
66 | Toltu | 2R | 0.4 | 0 | 0 | TMR | 0.8 | 20MR | 16 | 0 | 0 | 20MS | 16 |
67 | Obssa | 0 | 0 | 0 | 0 | TMR | 0.8 | 20MR | 16 | 0 | 0 | 40S | 40 |
68 | Lellisso | 30MSS | 27 | TMR | 0.4 | 5MS | 4 | 50S | 50 | 60S | 60 | 10MR | 4 |
69 | Tate | 2R | 0.4 | TMR | 0.4 | 5S | 5 | 40S | 40 | 0 | 0 | 10MR | 4 |
70 | Bakalcha | 20MS | 16 | TMR | 0.4 | 5MR | 2 | 50S | 50 | 10MS | 8 | 10MR | 4 |
71 | Oda | 20MS | 16 | 5MR | 2 | 10MR | 4 | 40S | 40 | 10MS | 8 | 30S | 30 |
72 | Kokate | 10MR | 4 | 10MR | 4 | 5MR | 2 | 60S | 60 | 50S | 50 | 50S | 50 |
73 | Local Red | 50S | 50 | TMR | 0.4 | 20S | 20 | 40S | 40 | 10MS | 8 | TMR | 0.8 |
74 | HAR 727 | 2R | 0.4 | TMR | 0.4 | 0 | 0 | 0 | 0 | TMS | 1.6 | 15MR | 6 |
75 | HAR 723 | 40MSS | 36 | 40S | 40 | 40S | 40 | 60S | 60 | 80S | 80 | TMS | 1.6 |
76 | HAR 934 | 2R | 0.4 | 0 | 0 | 5S | 5 | 10MR | 4 | TMS | 1.6 | 5MS | 4 |
77 | HAR 1018 | 10MR | 4 | 0 | 0 | TMS | 1.6 | 20MR | 8 | 5MS | 4 | TMR | 1.6 |
78 | HAR 820 | 10MR | 4 | 10MR | 4 | 0 | 0 | 30MSS | 27 | 30S | 30 | 10MS | 8 |
79 | HAR 1407 | 5MR | 2 | 0 | 0 | TMR | 0.8 | 20MR | 8 | 10MS | 8 | 10MR | 4 |
80 | HAR 1331 | 10MR | 4 | 20MS | 16 | 5MR | 2 | 40S | 40 | 60S | 60 | 10MR | 4 |
81 | HAR 719 | 30MS | 24 | 30S | 30 | 20MR | 16 | 90S | 90 | 70S | 70 | 25S | 25 |
82 | Hidassie | 20MS | 16 | 20MS | 16 | 5S | 5 | 60S | 60 | 40S | 40 | 20MR | 8 |
83 | Ogolcho | 30MS | 24 | 10MR | 4 | 5MR | 2 | 70S | 70 | 40S | 40 | 10MR | 4 |
84 | ETBW5800 | 30MS | 24 | 5MR | 2 | TMS | 1.6 | 50S | 50 | 30S | 30 | TMR | 1.6 |
85 | ETBW5879 | 10MR | 4 | TMS | 1.6 | 5MR | 2 | 70S | 70 | 40S | 40 | 10MR | 4 |
86 | ETBW5890 | 5MR | 2 | 0 | 0 | 0 | 0 | 60S | 60 | 40S | 40 | TMR | 1.6 |
87 | ETBW6093 | 50S | 50 | 30S | 30 | 40S | 40 | 90S | 90 | 70S | 70 | 40S | 40 |
88 | ETBW6094 | 60S | 60 | 20S | 20 | 50S | 50 | 90S | 90 | 70S | 70 | 50S | 50 |
89 | ETBW6098 | 80S | 80 | 40S | 40 | 40S | 40 | 90S | 90 | 70S | 70 | 60S | 60 |
90 | Kingbird | 30MS | 24 | 30S | 30 | 15MSMR | 9 | 70S | 70 | 60S | 60 | 20S | 20 |
91 | Mandoyu | 2R | 0.4 | TMR | 0.8 | 5MS | 4 | 30MSS | 27 | 40S | 40 | 5MR | 0.8 |
92 | Sanate | 2R | 0.4 | 0 | 0 | TMS | 1.6 | TMS | 1.6 | 0 | 0 | TMR | 0.8 |
93 | Gassay | 10MR | 4 | 0 | 0 | 0 | 0 | 20MS | 16 | 40S | 40 | 10MR | 4 |
94 | ETBW6647* | 60S | 60 | 20S | 20 | 40S | 40 | 90S | 90 | 70S | 70 | 40S | 40 |
95 | ETBW6496* | 20MR | 8 | 0 | 0 | 5MS | 4 | 90S | 90 | 70S | 70 | 50S | 50 |
96 | ETBW6696* | 10MR | 4 | 0 | 0 | 5S | 5 | 30MSS | 27 | 40S | 40 | 5MR | 2 |
97 | ETBW7698* | 10MR | 4 | 0 | 0 | 0 | 0 | 20MR | 8 | 30S | 30 | TMR | 1.6 |
98 | ETBW6939* | 40MSS | 36 | 5MR | 2 | 5S | 5 | 80S | 80 | 60S | 60 | 50S | 50 |
99 | ETBW7255* | 50S | 50 | 10MR | 4 | 40S | 40 | 70S | 70 | 70S | 70 | 40S | 40 |
100 | ETBW6861* Lemu | 10MR | 4 | TMS | 1.6 | 10MS | 8 | 60S | 60 | 50S | 50 | 10MR | 4 |
101 | ICARDA ELITE 107 | 20MSMR | 12 | TMR | 0.8 | 5S | 5 | 70S | 70 | 50S | 50 | 10MR | 4 |
102 | AGUILAL/3/PYN | 40MSS | 36 | TMR | 0.4 | 5MS | 4 | 60S | 60 | 50S | 50 | 10MR | 4 |
103 | Israel | 25MS | 20 | 40S | 40 | 30MS | 24 | 90S | 90 | 80S | 80 | 40S | 40 |
104 | Bonde | 40MSS | 36 | 30S | 30 | 50S | 50 | 90S | 90 | 80S | 80 | 50S | 50 |
105 | Kvz/7c | 40MSS | 36 | 40S | 40 | 40S | 40 | 90S | 90 | 70S | 70 | 60S | 60 |
106 | FH4-2-11 | 0 | 0 | 10S | 10 | 5MR | 2 | TMR | 0.8 | 5MS | 4 | 10S | 10 |
107 | Cocorit 71 | 30MSS | 27 | TR | 0.8 | 20MS | 16 | 60S | 60 | 50S | 50 | 10MR | 4 |
108 | Gerado | 50S | 50 | 10MS | 8 | 10S | 10 | 70S | 70 | 50S | 50 | 5MR | 2 |
109 | LD 357 | 30MSS | 27 | 40S | 40 | 30S | 30 | 90S | 90 | 60S | 60 | 10MR | 4 |
110 | Bichena | 10MR | 4 | 5MR | 2 | 5MR | 2 | 80S | 80 | 50S | 50 | 10MR | 4 |
111 | ETBW6130 WANE | 10MR | 4 | 0 | 0 | TMR | 0.8 | 40S | 40 | 30S | 30 | TR | 0.4 |
112 | ETBW6861 LEMU | 5MR | 2 | TR | 0.4 | 10MS | 8 | 70S | 70 | 40S | 40 | 20MR | 8 |
113 | Munal | 40S | 40 | 30S | 30 | 40S | 40 | 90S | 90 | 80S | 80 | 50S | 50 |
114 | Dereselign | 60S | 60 | 30S | 30 | 30S | 30 | 90S | 90 | 80S | 80 | 70S | 70 |
115 | Batu | 30MS | 24 | 20S | 20 | 30S | 30 | 30MSS | 27 | 40S | 40 | 30S | 30 |
116 | Digalu | 90S | 90 | 30S | 30 | 60S | 60 | ||||||
117 | Kingbird | 70S | 70 | 40S | 40 | 20MR | 8 | ||||||
118 | Wane | 50S | 50 | 10S | 10 | 10MS | 8 | ||||||
119 | Daka | 50S | 50 | 20MS | 16 | 15MS | 12 | ||||||
120 | Morocco | 60S | 60 | 90S | 90 | 90S | 90 | 90S | 90 | 70S | 70 | 90S | 90 |
121 | PBW343 | 50S | 50 | 50S | 50 | 50S | 50 | 70S | 70 | 40S | 40 | 50S | 50 |
Table 1. The response of wheat genotypes for yellow rust at three locations Meraro, Bekoji and Kulumsa in 2018 and 2019.
S.No | Variety/line | YR gene | 2018 | 2019 | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Met-aro | Bekoji | Kuhtrasa | Meraro | Bekoji | Kuhitnsa | |||||||||
TRS | CI | TRS | CI | TRS | CI | TRS | CI | TRS | CI | TRS | CI | |||
1 | YR1/6* Avocet S | YR1 | 20S | 20 | 20S | 20 | 5MR | 3 | 30s | 30 | 30s | 30 | 20s | 20 |
2 | YR5/6* AOC CX86.6.120 | YR5 | 50S | 50 | 40S | 40 | 40S | 40 | 70s | 70 | 80s | 80 | 80S | 80 |
3 | YR6/6* AOC CX94.2.2.25 | YR6 | 60S | 60 | 60S | 60 | 90S | 90 | 90s | 90 | 100S | 100 | 80S | 80 |
4 | YR7/6* Avocet S | YR7 | 0 | 0 | 0 | 0 | 0 | 90s | 90 | 100S | 100 | 70S | 70 | |
5 | YR8/6* Avocet S | YR8 | 40S | 40 | 60S | 60 | 60S | 60 | 30s | 30 | 30S | 30 | 10S | 10 |
6 | YR9/6* Avocet S | YR9 | 50S | 50 | 50S | 50 | 60S | 60 | 90s | 90 | 100S | 100 | 50S | 50 |
7 | YR10/6* Avocet S | YR10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8 | YR15/6* Avocet S | YR15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9 | YR17/3* AOC CX94.8.1.25 | YR17 | 60S | 60 | 60S | 60 | 60S | 60 | 90s | 90 | 100S | 100 | 80S | 80 |
10 | YR18/3* AOC CX94.10.1.7 | YR18 | 60S | 60 | 60S | 60 | 90S | 90 | 90s | 90 | 100S | 100 | 70S | 70 |
11 | YR26/3* AOC CX96.17.1. | YR26 | 40S | 40 | 40S | 40 | 10MS | 8 | 80s | 80 | 80S | 80 | 60S | 60 |
12 | YRSP/6* AOC CX94.14.1.1 | YRSP | 40S | 40 | 50S | 50 | 30S | 30 | 90s | 90 | 70S | 70 | 10MR | 6 |
13 | YR27/3* AOC CX94.19.1.1 | YR27 | 50S | 50 | 50S | 50 | 20S | 20 | 90s | 90 | 100S | 100 | 70S | 70 |
14 | AVOCET R | R | 60S | 60 | 60S | 60 | 80S | 80 | 60s | 60 | 80S | 80 | 6OS | 60 |
15 | AVOCETS | S | 10S | 10 | TR | 0.2 | 0 | 0 | 0 | 0 | 30S | 30 | 0 | 0 |
15 | Lassik (-Yr5) | Lassik (-Yr5) | 30S | 30 | TMR | 0.4 | 0 | 0 | 60s | 60 | 40S | 40 | 10MR | 6 |
17 | Lassik (+Yr5) | Lassik (+Yr5) | TR | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
18 | Yr morocco | Yr morocco | 90S | 90 | 90S | 90 | 100S | 100 | 100s | 100 | NA | 100 | 90S | 90 |
19 | Morocco | Morocco | 90S | 90 | 80S | 80 | 80S | 80 | 100s | 100 | NA | 100 | 90S | 90 |
20 | Kubsa local check | Kubsa | 80S | 80 | 60S | 60 | 50S | 50 | 90s | 90 | 100S | 100 | 80S | 80 |
Table 2. The variety/line of gene for yellow rust at three locations Meraro, Bekoji and Kulumsa in 2018 and 2019.
Fig 1: Response of commercial and candidate wheat genotypes to yellow rust at Meraro, Bekoji and Kulumsa in 2018 and 2019 cropping seasons.
Similarly, wheat varieties like Pavon 76, Mitike, Galema, Abola, Tusie, Katar, Shina, Hawi, Tura, Madawalau, Simba, Sofumar,Tossa, Senkegna, Meraro and Tsehay displayed susceptible reaction with average coffient of infection exceeding 20 at Meraro, Bekoji and Kulumsa in both cropping seasons. On contrary, the formerly most popular variety” Dashen” which carries Yr9 gene exhibited low yellow rust severity. This might be due to the elimination of the race virulent to Yr9 gene.
On the other hand, among the candidate lines viz ETBW5800, ETBW5879, ETBW5890, ETBW6093, ETBW6094, ETBW6098, ETBW6647, ETBW6496, ETBW6696, ETBW7698, ETBW6939 and ETBW7255 only ETBW5879, ETBW5890, ETBW6696 and ETBW7698 showed ACI below 20 across all the three locations. However, in 2019 none of them displayed lower ACI especially at hotspots; Meraro and Bekoji.
Data on trap nurseries over two years indicated that several known resistance genes Yr6, Yr7, Yr8, and Yr18 have limited utility as host lines carrying them displayed susceptibility in both years. The varieties Kubsa(Yr27+), Medawlabu, Hoggana, Millinium and Meraro that carried Yr17 shown disease severities from trace MS under relatively hot weather(Kulumsa) to 80S at highland hot spot(Meraro and Bekoji) conditions. Broadly speaking, cultivars and candidate lines that are not consisting Yr5+,Yr10 and Yr15 showed highly susceptible reaction where epidemics is more sever on highlands. The assessments information revealed that, genes Yr5, Yr6, Yr7, Yr9, Yr17, Yr18, Yr26 and Yr27 were heavily injured over time and space. Moreover, even if the degree of virulence varies, majority of the genes under diffentials broken by the prevalent yellow rust races at all locations
The two most popular cultivars Kubsa which carried Yr27 but affected by yellow rust race PStS6 and Ogolcho affected by a race PStS16 remained ineffective even under warm weather conditions. Over all, wheat yellow rust resistant genes of Yr5+, Yr10 and Yr15 are still persisted effective and could have a significant contribution in the development of new wheat varieties under breeding program in Ethiopia.
Conclusion
The information of this finding revealed that majority of the test cultivars displayed susceptible reaction to the prevalent yellow rust races. However, few cultivars and candidate lines exhibited lower diseases severities. Among the differentials, Yr5+, Yr10 and Yr15 are still effective to the prevalent yellow rust races. Thus, those candidate wheat genotypes tested in this experiment and showed lower diseases severities will contribute a significant role to wheat breeding program in diversification and development of cultivars with durable or long lasting resistance.
Funding
This study was funded by Ethiopian Institute of Agricultural Research.
Conflict of Interest
The author declares no conflict of interest. The funders had no role in the study design; data collection analysis or interpretation; in writing of the manuscript, or in the decision to publish the result.
Acknowledgment
The author acknowledges Ethiopian Institute of Agricultural Research; Kulumsa agricultural research center for financial support and facilities required to the study. The author is also indebted to the staff of Kulumsa agricultural research center pathology team for their unreserved support in conducting the experiment.
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Author Info
G.M. Abebele1*, A.A. Zerihun1, T.N. Gure1, D.K. Habtemariam1, L.T. Hadis1 and F.Y. Belayineh22Ethiopian Institute of Agricultural Research (EIAR), Addis Ababa, Ethiopia
Citation: Abebele, G.M., Zerihun, A.A., Gure, T.N., Habtemariam, D.K., Hadis, L.T., Belayineh, F.Y. (2022). Field assessment of commercial wheat varieties, advanced lines and trap nurseries against yellow rust in South East Ethiopia. Ukrainian Journal of Ecology. 12:40-46.
Received: 13-May-2022, Manuscript No. UJE-22-63857; , Pre QC No. P-63857; Editor assigned: 16-May-2022, Pre QC No. P-63857; Reviewed: 27-May-2022, QC No. Q-63857; Revised: 02-Jun-2022, Manuscript No. R-63857; Published: 09-Jun-2022, DOI: 10.15421/2022_373
Copyright: This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.