Vicia sativa L. (common vetch) is an annual legume species of high ecological importance which is characterized by high nutritive value and has ability to adapt to various edaphic-climatic conditions. The study was conducted to evaluate the performance of Vetch genotypes across various locations of Guji high land areas. Twelve genotypes of common vetch including standard check using randomized complete block designs (RCBD) with three replications were used. A 3x2 plot size were used in 2021-2022 cropping season across three locations (Anno, Sorra and Songo). The genotypes revealed highly significant (P < 0.05) difference for all parameters except non-significant (P > 0.05) for leaf to steam ratio. The highest and lowest dry mater yield recorded were 6.83 t/ha from standard check Gabisa and 3.99 t/ha from G-5207 respectively. There was no yield advantage obtained from the tested genotypes tested across all environments. Genotypes and genotypes environmental biplot analysis explained that Gabisa variety used as standard check was the most high-yielding and stable. Therefore, Gabisa variety was selected until another variety was released for the study area.
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Vicia sativa L. (common vetch) is a self-pollinating, annual legume species of high economic and ecological importance
[1]
Dong, R.; Jahufer, M. Z. Z.; Dong, D. K.; Wang, Y. R.; Liu, Z. P. Characterisation of the morphological variation for seed traits among 537 germplasm accessions of common vetch (Vicia sativa L.) using digital image analysis. N. Z. J. Agric. Res. 2016, 59, 422–435.
[1]
. It is mainly used for animal feed as forage in different items
[2]
Larbi, A.; El-Moneim, A. M.; Nakkoul, H.; Jammal, B.; Hassan, S. Intra-species variations in yield and quality determinants in Vicia species: 3. Common vetch (Vicia sativa ssp. sativa L.). Anim. Feed Sci. Technol. 2011, 164, 241–251.
[2]
as well as grain legume
[3]
Huang, Y. F.; Gao, X. L.; Nan, Z. B.; Zhang, Z. X. Potential value of the common vetch (Vicia sativa L.) as an animal feedstuff: A review. J. Anim. Physiol. Anim. Nutr. 2017, 101, 807–823.
[3]
. Moreover, it is used as a cover crop and green manure
[4]
Tigka, E.; Beslemes, D.; Kakabouki, I.; Pankou, C.; Bilalis, D.; Tokatlidis, I.; Vlachostergios, D. N. Seed Rate and Cultivar Effect on Contribution of Vicia sativa L. GreenManure to Soil Amendment underMediterranean Conditions. Agriculture 2021, 11, 733.
[4]
and its ability to fix nitrogen as well as to restrict the incidence of crop diseases in the rotation systems
[5]
Cakmakci, S.; Aydinoglu, B.; Karaca, M.; Bilgen, M. Heritability of yield components in common vetch (Vicia sativa L.). Acta Agric. Scand. B Soil Plant Sci. 2006, 56, 54–59.
[5]
, makes it an important crop for sustainable agriculture. Its main advantage compared with other legumes is its ability to grow in various pedoclimatic conditions, even in harsh ones such as dry
[6]
Nguyen, V.; Riley, S.; Nagel, S.; Fisk, I.; Searle, I. R. Common Vetch: A Drought Tolerant, High Protein Neglected Leguminous Crop with Potential as a Sustainable Food Source. Front. Plant Sci. 2020, 11, 818.
[6]
and cold environments
[7]
Hu, X.; Li, T.; Wang, J.; Wang, Y.; Baskin, C. C.; Baskin, J. M. Seed dormancy in four Tibetan Plateau Vicia species and characterization of physiological changes in response of seeds to environmental factors. Seed Sci. Res. 2013, 23, 133–140.
[7]
. Furthermore, common vetch is suitable for both conventional and organic production systems
[8]
Georgieva, N.; Nikolova, I.; Delchev, G. Response of spring vetch (Vicia sativa L.) to organic production conditions. Bulg. J. Agric. Sci. 2020, 26, 520–526.
[8]
. It is well documented that the performance of cultivars/genotypes is highly affected by environmental factors (temperature, participation), the variation of which depends on regions and years. The way that different genotypes respond to environmental variation is referred to as genotype x environment (GXE) interaction
[9]
Beyene, Y.; Mugo, S.; Mutinda, C.; Tefera, T.; Karaya, H.; Ajanga, J.; Shuma, J.; Tende, R.; Kega, V. Genotype by environment interactions and yield stability of stem borer resistant maize hybrids in Kenya. Afr. J. Biotechnol. 2011, 10, 4752–4758.
[9]
and it is a very important factor in the release of stable, well-adapted, and high-yield cultivars. Highly significant GXE interaction has been recorded for various agronomic traits of common vetch such as dry matter yield and yield components, seed yield, shattering rate
[10]
Aydemir, S. K.; Karakoy, T.; Kokten, K.; Nadeem, M. A. Evaluation of yield and yield components of common vetch (Vicia sativa L.) genotypes grown in different locations of Turkey by GGE biplot analysis. Appl. Ecol. Environ. Res. 2019, 17, 15203–15217.
[10]
.
However, the productivity of the forage is far below the potential due to limited varietal options and several biophysical and socio-economic constraints. Hence, developing forage crop varieties resistant to major biotic and abiotic stress, and improving adaptation to changing environments and in different agro ecologies are among the best strategies for provoking those production constraints. Therefore, the present study was initiated to estimate the magnitude of genotype, environment and genotype by environment interaction for forage yield and yield components of Vetch yield stability across different environments.
2. Materials and Methods
2.1. Description of the Study Locations
The experiment was conducted at three locations for two consecutive years (Songo Baricha on station, Anno Qerensa and Raya Boda) on farm and the tested locations represents highland parts of the study area.
2.2. Treatments and Experimental Design
Genetic materials comprised 12 vetch genotypes including standard check (Gabisa) were evaluated at 6 locations over two consecutive years (2021-2022). Randomize complete block (RCBD) with three replications was used across all locations. Each genotype was sown in 6 rows; 2 m length with 1.8 m width and 30 cm inter-row spacing. Seed rates of 20 kg ha-1 and combination of fertilizer rate of 100 Kg ha-1 nitrogen, phosphorus and sulfur were applied at the time of planting.
2.3. Sources of Planting Materials
The planting materialsused for this study were obtained from the international livestock research institute (ILRI and the standard check (Gabisa),evaluated in the presented study were selected from previously adapted to the environment based ontheir herbage yield performance and other agronomictraits.
2.4. Methods of Data Collections
Agronomic data like date of 50% flowering, days to maturity, Leaf to stem ratio, plant height, and dry matter yield tone per hectare and, seed yield qt/ha was carefully collected. Forage sampling was collected at the 50% flowering stage and seed sampling was conducted at the maturity stage of the plants. In all plots, sampling was done from the middle four rows excluding the guard rows.
2.5. Biomass Yield Determination
Herbage yield was harvested 10 cm above the ground and weighed in the field using a sensitive balance. Fresh sub-samples will be taken from each plot separately, weighed, and chopped into pieces (2-5 cm) for dry matter determination. The weighed fresh sub-samples (FWss) were oven-dried at 60°C for 72 hours and re-weighed (DWss) to estimate dry matter yield
[11]
Tarawali S. A., Tarawali G., Lirbi, A. and Hanson J. 1995. Method for the evaluation of forage legumes, grasses and fodder trees for feed use as livestock feed International Livestock Research Institute; Nairobi, Kenya.
[11]
.
The dry matter yield (t/ha) = (10x TotFW x DWss / HA x FWss))
Where: TFW = total fresh weight from the plot in kg,
DWss = dry weight of the sample in grams,
FWss = fresh weight of the sample in grams,
HA = Harvest area in meter square and,
10 is a constant for the conversion of yields in kg m2 to tone/ha.
2.6. Methods of Data Analysis
The pooled analysis was performed by using Genstat 18th edition
[12]
GenStat (2012) Introduction to GenStat for Windows 16th ed VSN International Hemel Hemstead Hertfordshire HPI IES UK.
[12]
was used to draw AMMI and GGE bi-plots.
3. Results and Discussions
3.1. Combined Agronomic Yield and Yield Component Data over Year and Locations
Combined analysis of variance for measured agronomic traits of Vecia villosa genotypes tested over environments is presented in (Table 1). The genotypes revealed highly significant (P < 0.05) difference for days to flowering, days to maturity, plant height, dry matter yield tone per hectare and, seed yield across the tested environments, except showed non-significant (P > 0.05) (Table 1) deference for leaf to steam ratio. The shortest number of days flowering was obtained from Gabisa standard check (101.3 days) whereas; G-5227 (113.8 days) took longer number of days. The shortest number of day’s physiological maturity of genotype G-5269 (195.3 days) whereas, standard check Gabisa variety (173.8 days) took longer number of days. This might be due to the influence of the environment during forage crop physiological growth and development. The longest plant height was obtained from G-5269 (153.5 cm) and the shortest plant height was obtained from G-5207 (104.4 cm). Mean dry matter yield tone/hectare of the tested genotypes across different environment was ranged from 6.83 to 3.99 tone/ha-1. The highest and lowest dry mater yield recorded were 6.83 t/ha from standard check Gabisa and 3.99 t/ha from G- 5207 respectively. There was no yield advantage obtained from the tested genotypes over all tested environment. The highest seed yield was obtained from Gabisa (16.4 qt/ha) and the small seed yield was obtained from G-5269 (1.59 qt/ha).
Table 1. Mean dry matter yield, agronomic traits for Lablab genotypes at 6 locations (Songo Baricha on station, Anno Qerensa and Raya Boda) over two years 2021 and 2022.
Genotypes
DF
DM
LSR
PH (cm)
DMY t/ha
SY qt/ha
% DMY t/ha adv.
5252
115.8a
192.3ab
0.65
128b
5.56b
5.11ef
-
5186
101.3e
172.3d
0.79
118.2bc
5.54b
13.9b
-
5158
110.3bc
181.3bcd
0.91
130.5b
5.12bc
11c
-
5219
107.6cd
187abc
0.69
123.2b
4.84bcd
2.51g
-
5763
104.9de
181.2bcd
0.62
120.1bc
4.82bcd
8.12d
-
Gabisa
101.3e
173.8d
0.82
131b
6.83a
16.4a
5157
110.6bc
182.3bcd
0.85
122.2
4.75bcd
10.7c
-
8521
108.6cd
176.8cd
0.77
152.4a
4.69bcd
2.08g
-
5127
113.8ab
188abc
0.77
127.3b
4.49bcd
6.02de
-
5208
114.9a
190.7ab
0.88
127.6b
4.41cd
6.57de
-
5269
116.3a
195.3a
0.86
153.5a
4.32cd
1.59g
-
5207
117.1a
192.3ab
0.57
104.4c
3.99d
3.41fg
-
Mean
110.20
184.5
0.759
128.2
4.94
7.29
C.V
5.6
9.3
45.8
18.2
28.8
2.06
LSD
4.071
11.27
0.2284
15.33
0.94
43.1
SL
*
*
NS
*
*
*
Means across a column within the same category having different superscripts differ (P<0.05); DF= days to flowering; Days to maturity; LSR= leaf to steam ratio; PH= plant height; SY; seed yield DMt/ha=dry matter yield tone per hectare; LSD=Least Significance difference; CV=coefficient of variations; SL= significant level.
3.2. AMMI Bi-plot Stability Analysis of Dry Matter Yield
The GGE bi-plot has been used in crop genotypes trials to effectively identify the best performing genotypes across environments, identify the best genotypes for specific environments delineation, whereby specific genotypes can be recommended to specific environments and can be used to evaluate the yield and stability of genotypes
[13]
Yan, W. GGE biplot A Windows application for graphical analysis of multi-environment trial data and other types of two-way data. Agron. J. 2001, 93, 1111–1118.
[13]
. G-5219, G-5269 and G-5157 had broad adaptability across the environments as they were located closer to the center of the bi-plot. This mean genotypes; with small value of IPCA1 have consistent responses to the changing environment. Environment; Anna Sorra was considered highly discriminating for the tested materials since they had longer vectors (Potential environments).
3.3. GGE bi-plot Analysis
The genotypes located at the vertex of the polygon performed best-performance in the mega-environments (MGE).
[14]
Yan W, Hunt LA, Sheng Q, Szlavnics Z (2000). Cultivar evaluation and mega-environment investigation based on GGE biplot. Crop Science 40: 596-605.
[15]
Yan W, Kang MS (2003). GGE Biplot Analysis: A graphical tool for breeders, geneticists, and agronomists. CRC Press, Boca Raton.
[14, 15]
reported the polygon view of GGE bi-plot as the best way for identification of winning genotypes with visualizing the interaction patterns between genotypes and environments. As we can see in Figure 2, the single-arrowed line, “Average Environment Coordination” (“AEC”) abscissa, points to a higher mean yield across environments. Thus, across that averaged environment Genotypes G- 5158, Gabisa variety and G-5252 was the vertex (winning genotypes) in the sector where environments located in the MGE sector. The double-arrowed line, the “AEC” ordinate that points to greater variability (poorer stability) in either direction, indicated that G-8521 followed by G-5252 was highly unstable whereas G-5219 and G- 5157 were highly stable. The genotype that is near to the “ideal” for biomass production according to
[13]
Yan, W. GGE biplot A Windows application for graphical analysis of multi-environment trial data and other types of two-way data. Agron. J. 2001, 93, 1111–1118.
[13]
‘Gabisa’ variety used as standard check, which showed both high yield and stability.
Figure 2. The GGE-bi-plot for which -won -where pattern for genotypes and environments.
3.4. Evaluation of Genotypes
Gabisa standard check variety which fell into the center of concentric circle was the ideal genotype in terms of higher dry matter yielding ability and stable. In addition, G-5252 and G-5183 located on the next consecutive concentric circle might be regarded as desirable genotype. Genotypes those very distant from the first concentric and the second circle were undesirable genotypes compared to other genotypes. Similar results were reported by different authors
[16]
Arega, A., Ahmed, M. R., Anne, A. A., and Dabesa, A. 2023. Yield Stability Analysis of Late Set Pigeon Pea (Cajanus cajan L.) Genotypes.
[17]
Dabessa, A., Abebe, Z. and Lule, D. (2016). Genotype by environment interaction and kernel yield stability of groundnut (Arachis hypogaea L.) varieties in Western Oromia, Ethiopia. J. of Agriculture and Crops, 2(11), 113-120.
Figure 3. GGE-bi-plot based on genotype focused scaling for comparison of the genotypes.
3.5. Mean Performance and Stability of Genotypes
A genotype which has shorter absolute length of projection in either of the two directions of AEC ordinate (located closer to AEC), represents a less tendency of G x E interaction, which means it is the most stable genotype across all environments. The mean performance and stability of these Gabisa variety and G-5765 were high yielding and stable genotypes.
Figure 4. GGE ranking bi-plot shows means performance vs stability.
4. Conclusion and Recommendation
Combined analysis of variance indicated that dry matter yield performances of the tested vetch genotypes were showed significant differences among each other. This indicated that particular genotypes do not exhibit uniform performance under different environmental conditions or different genotypes may respond differently to a specific environment. Based on the results, it can be concluded that the environment and genotype can affect yield and yield components of vetch genotypes. Therefore, compared to other tested genotypes tested Gabisa variety used as standard check was still showed high dry matter yielder and found stable performance.
Abbreviations
DMY
Dry Matter Yield
LSR
Leaf to Stem Ratio
DM
Day to Maturity
Acknowledgments
The authors would like to thank Oromia Agricultural Research Institute for funding the research. Staff members of Bore Agricultural Research Center in general and Animal feed research Technology Generation Team in particular is highly acknowledged for their support in field work.
Conflicts of Interest
The authors declare no conflicts of interest.
References
[1]
Dong, R.; Jahufer, M. Z. Z.; Dong, D. K.; Wang, Y. R.; Liu, Z. P. Characterisation of the morphological variation for seed traits among 537 germplasm accessions of common vetch (Vicia sativa L.) using digital image analysis. N. Z. J. Agric. Res. 2016, 59, 422–435.
[2]
Larbi, A.; El-Moneim, A. M.; Nakkoul, H.; Jammal, B.; Hassan, S. Intra-species variations in yield and quality determinants in Vicia species: 3. Common vetch (Vicia sativa ssp. sativa L.). Anim. Feed Sci. Technol. 2011, 164, 241–251.
[3]
Huang, Y. F.; Gao, X. L.; Nan, Z. B.; Zhang, Z. X. Potential value of the common vetch (Vicia sativa L.) as an animal feedstuff: A review. J. Anim. Physiol. Anim. Nutr. 2017, 101, 807–823.
[4]
Tigka, E.; Beslemes, D.; Kakabouki, I.; Pankou, C.; Bilalis, D.; Tokatlidis, I.; Vlachostergios, D. N. Seed Rate and Cultivar Effect on Contribution of Vicia sativa L. GreenManure to Soil Amendment underMediterranean Conditions. Agriculture 2021, 11, 733.
[5]
Cakmakci, S.; Aydinoglu, B.; Karaca, M.; Bilgen, M. Heritability of yield components in common vetch (Vicia sativa L.). Acta Agric. Scand. B Soil Plant Sci. 2006, 56, 54–59.
[6]
Nguyen, V.; Riley, S.; Nagel, S.; Fisk, I.; Searle, I. R. Common Vetch: A Drought Tolerant, High Protein Neglected Leguminous Crop with Potential as a Sustainable Food Source. Front. Plant Sci. 2020, 11, 818.
[7]
Hu, X.; Li, T.; Wang, J.; Wang, Y.; Baskin, C. C.; Baskin, J. M. Seed dormancy in four Tibetan Plateau Vicia species and characterization of physiological changes in response of seeds to environmental factors. Seed Sci. Res. 2013, 23, 133–140.
[8]
Georgieva, N.; Nikolova, I.; Delchev, G. Response of spring vetch (Vicia sativa L.) to organic production conditions. Bulg. J. Agric. Sci. 2020, 26, 520–526.
[9]
Beyene, Y.; Mugo, S.; Mutinda, C.; Tefera, T.; Karaya, H.; Ajanga, J.; Shuma, J.; Tende, R.; Kega, V. Genotype by environment interactions and yield stability of stem borer resistant maize hybrids in Kenya. Afr. J. Biotechnol. 2011, 10, 4752–4758.
[10]
Aydemir, S. K.; Karakoy, T.; Kokten, K.; Nadeem, M. A. Evaluation of yield and yield components of common vetch (Vicia sativa L.) genotypes grown in different locations of Turkey by GGE biplot analysis. Appl. Ecol. Environ. Res. 2019, 17, 15203–15217.
[11]
Tarawali S. A., Tarawali G., Lirbi, A. and Hanson J. 1995. Method for the evaluation of forage legumes, grasses and fodder trees for feed use as livestock feed International Livestock Research Institute; Nairobi, Kenya.
[12]
GenStat (2012) Introduction to GenStat for Windows 16th ed VSN International Hemel Hemstead Hertfordshire HPI IES UK.
[13]
Yan, W. GGE biplot A Windows application for graphical analysis of multi-environment trial data and other types of two-way data. Agron. J. 2001, 93, 1111–1118.
[14]
Yan W, Hunt LA, Sheng Q, Szlavnics Z (2000). Cultivar evaluation and mega-environment investigation based on GGE biplot. Crop Science 40: 596-605.
[15]
Yan W, Kang MS (2003). GGE Biplot Analysis: A graphical tool for breeders, geneticists, and agronomists. CRC Press, Boca Raton.
[16]
Arega, A., Ahmed, M. R., Anne, A. A., and Dabesa, A. 2023. Yield Stability Analysis of Late Set Pigeon Pea (Cajanus cajan L.) Genotypes.
[17]
Dabessa, A., Abebe, Z. and Lule, D. (2016). Genotype by environment interaction and kernel yield stability of groundnut (Arachis hypogaea L.) varieties in Western Oromia, Ethiopia. J. of Agriculture and Crops, 2(11), 113-120.
Jabessa, T., Bekele, K., Tesfaye, G. (2025). Evaluation of Yield Performance and Stability of Vetch in Highland of Southern Oromia. Agriculture, Forestry and Fisheries, 14(3), 133-138. https://doi.org/10.11648/j.aff.20251403.17
Jabessa, T.; Bekele, K.; Tesfaye, G. Evaluation of Yield Performance and Stability of Vetch in Highland of Southern Oromia. Agric. For. Fish.2025, 14(3), 133-138. doi: 10.11648/j.aff.20251403.17
Jabessa T, Bekele K, Tesfaye G. Evaluation of Yield Performance and Stability of Vetch in Highland of Southern Oromia. Agric For Fish. 2025;14(3):133-138. doi: 10.11648/j.aff.20251403.17
@article{10.11648/j.aff.20251403.17,
author = {Teshale Jabessa and Ketema Bekele and Getachew Tesfaye},
title = {Evaluation of Yield Performance and Stability of Vetch in Highland of Southern Oromia
},
journal = {Agriculture, Forestry and Fisheries},
volume = {14},
number = {3},
pages = {133-138},
doi = {10.11648/j.aff.20251403.17},
url = {https://doi.org/10.11648/j.aff.20251403.17},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.aff.20251403.17},
abstract = {Vicia sativa L. (common vetch) is an annual legume species of high ecological importance which is characterized by high nutritive value and has ability to adapt to various edaphic-climatic conditions. The study was conducted to evaluate the performance of Vetch genotypes across various locations of Guji high land areas. Twelve genotypes of common vetch including standard check using randomized complete block designs (RCBD) with three replications were used. A 3x2 plot size were used in 2021-2022 cropping season across three locations (Anno, Sorra and Songo). The genotypes revealed highly significant (P 0.05) for leaf to steam ratio. The highest and lowest dry mater yield recorded were 6.83 t/ha from standard check Gabisa and 3.99 t/ha from G-5207 respectively. There was no yield advantage obtained from the tested genotypes tested across all environments. Genotypes and genotypes environmental biplot analysis explained that Gabisa variety used as standard check was the most high-yielding and stable. Therefore, Gabisa variety was selected until another variety was released for the study area.
},
year = {2025}
}
TY - JOUR
T1 - Evaluation of Yield Performance and Stability of Vetch in Highland of Southern Oromia
AU - Teshale Jabessa
AU - Ketema Bekele
AU - Getachew Tesfaye
Y1 - 2025/06/23
PY - 2025
N1 - https://doi.org/10.11648/j.aff.20251403.17
DO - 10.11648/j.aff.20251403.17
T2 - Agriculture, Forestry and Fisheries
JF - Agriculture, Forestry and Fisheries
JO - Agriculture, Forestry and Fisheries
SP - 133
EP - 138
PB - Science Publishing Group
SN - 2328-5648
UR - https://doi.org/10.11648/j.aff.20251403.17
AB - Vicia sativa L. (common vetch) is an annual legume species of high ecological importance which is characterized by high nutritive value and has ability to adapt to various edaphic-climatic conditions. The study was conducted to evaluate the performance of Vetch genotypes across various locations of Guji high land areas. Twelve genotypes of common vetch including standard check using randomized complete block designs (RCBD) with three replications were used. A 3x2 plot size were used in 2021-2022 cropping season across three locations (Anno, Sorra and Songo). The genotypes revealed highly significant (P 0.05) for leaf to steam ratio. The highest and lowest dry mater yield recorded were 6.83 t/ha from standard check Gabisa and 3.99 t/ha from G-5207 respectively. There was no yield advantage obtained from the tested genotypes tested across all environments. Genotypes and genotypes environmental biplot analysis explained that Gabisa variety used as standard check was the most high-yielding and stable. Therefore, Gabisa variety was selected until another variety was released for the study area.
VL - 14
IS - 3
ER -
Jabessa, T., Bekele, K., Tesfaye, G. (2025). Evaluation of Yield Performance and Stability of Vetch in Highland of Southern Oromia. Agriculture, Forestry and Fisheries, 14(3), 133-138. https://doi.org/10.11648/j.aff.20251403.17
Jabessa, T.; Bekele, K.; Tesfaye, G. Evaluation of Yield Performance and Stability of Vetch in Highland of Southern Oromia. Agric. For. Fish.2025, 14(3), 133-138. doi: 10.11648/j.aff.20251403.17
Jabessa T, Bekele K, Tesfaye G. Evaluation of Yield Performance and Stability of Vetch in Highland of Southern Oromia. Agric For Fish. 2025;14(3):133-138. doi: 10.11648/j.aff.20251403.17
@article{10.11648/j.aff.20251403.17,
author = {Teshale Jabessa and Ketema Bekele and Getachew Tesfaye},
title = {Evaluation of Yield Performance and Stability of Vetch in Highland of Southern Oromia
},
journal = {Agriculture, Forestry and Fisheries},
volume = {14},
number = {3},
pages = {133-138},
doi = {10.11648/j.aff.20251403.17},
url = {https://doi.org/10.11648/j.aff.20251403.17},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.aff.20251403.17},
abstract = {Vicia sativa L. (common vetch) is an annual legume species of high ecological importance which is characterized by high nutritive value and has ability to adapt to various edaphic-climatic conditions. The study was conducted to evaluate the performance of Vetch genotypes across various locations of Guji high land areas. Twelve genotypes of common vetch including standard check using randomized complete block designs (RCBD) with three replications were used. A 3x2 plot size were used in 2021-2022 cropping season across three locations (Anno, Sorra and Songo). The genotypes revealed highly significant (P 0.05) for leaf to steam ratio. The highest and lowest dry mater yield recorded were 6.83 t/ha from standard check Gabisa and 3.99 t/ha from G-5207 respectively. There was no yield advantage obtained from the tested genotypes tested across all environments. Genotypes and genotypes environmental biplot analysis explained that Gabisa variety used as standard check was the most high-yielding and stable. Therefore, Gabisa variety was selected until another variety was released for the study area.
},
year = {2025}
}
TY - JOUR
T1 - Evaluation of Yield Performance and Stability of Vetch in Highland of Southern Oromia
AU - Teshale Jabessa
AU - Ketema Bekele
AU - Getachew Tesfaye
Y1 - 2025/06/23
PY - 2025
N1 - https://doi.org/10.11648/j.aff.20251403.17
DO - 10.11648/j.aff.20251403.17
T2 - Agriculture, Forestry and Fisheries
JF - Agriculture, Forestry and Fisheries
JO - Agriculture, Forestry and Fisheries
SP - 133
EP - 138
PB - Science Publishing Group
SN - 2328-5648
UR - https://doi.org/10.11648/j.aff.20251403.17
AB - Vicia sativa L. (common vetch) is an annual legume species of high ecological importance which is characterized by high nutritive value and has ability to adapt to various edaphic-climatic conditions. The study was conducted to evaluate the performance of Vetch genotypes across various locations of Guji high land areas. Twelve genotypes of common vetch including standard check using randomized complete block designs (RCBD) with three replications were used. A 3x2 plot size were used in 2021-2022 cropping season across three locations (Anno, Sorra and Songo). The genotypes revealed highly significant (P 0.05) for leaf to steam ratio. The highest and lowest dry mater yield recorded were 6.83 t/ha from standard check Gabisa and 3.99 t/ha from G-5207 respectively. There was no yield advantage obtained from the tested genotypes tested across all environments. Genotypes and genotypes environmental biplot analysis explained that Gabisa variety used as standard check was the most high-yielding and stable. Therefore, Gabisa variety was selected until another variety was released for the study area.
VL - 14
IS - 3
ER -