Research Article | | Peer-Reviewed

Adaptation Trial of Sweet Lupine (Lupinus angustifolius L.) Varieties in West Hararghe Zone, Oromia, Ethiopia

Received: 22 April 2024     Accepted: 16 May 2024     Published: 20 September 2024
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Abstract

Little or no information is known about the adaptability and uses of sweet lupine in the Oromia region, especially in Hararghe zones where animal feed shortage is the bottleneck for smallholder farmers. This activity was initiated to evaluate and identifying the best performing sweet lupine varieties in herbage yield, best adaptive and high seed yielder from 2020/21 to 2021/22. The results of the analysis of variance indicated a significant (p<0.05) variation for most evaluated parameters. The longest date of 50% flowering and maturing date was recorded for Walala but the other varieties were similar. Statistical (P>0.05) variation was not recorded. Dry matter yield ranged from 0.66 to 3.10 t/ha at on station while at Quni Segeria and Arba Rakate FTC, it varied between 2.77 to 4.75t/ha and 2.58 to 3.78t/ha respectively. Lupines seed yield varied from 7.56 to 13.93 qt/ha at on station, from 3.92 to 57.5 qt/ha at Quni Segeria FTC, and from 6.22 to 18.6 qt/ha at Arba Rakate FTC. This study showed that there is a high potential to cultivate sweet lupines in the study area. Sweet lupine Walala followed by Propor varieties tolerant to diseases and pests. From this study, it is concluded that the sweet lupine variety Walala followed by Propor was found promising in terms of agronomic traits, DM yield, and seed yield than other varieties during the experimental years that need further evaluation of animal palatability and absorption potential. So, it is possible to recommend Walala and Propor varieties as alternative feed resources under smallholder conditions in the study areas and other places of the West Hararghe zone of the Oromia region with similar climatic and edaphic conditions.

Published in Agriculture, Forestry and Fisheries (Volume 13, Issue 5)
DOI 10.11648/j.aff.20241305.13
Page(s) 148-158
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Dry Matter Yield, Sweet Lupine, Varieties, West Hararghe

1. Introduction
Ethiopia has the largest livestock population in Africa, with 66 million cattle, 38 million sheep, 46 goats, 2.14 million horses, 10 million donkeys, and 0.36 million mules, and about 7 million camels, 41.35 million poultry . Livestock is a major source of animal protein, power for crop cultivation, means of transportation, export commodities, manure for farmland and household energy, security in times of crop failure, and means of wealth accumulation. The sector contributed up to 40% of agricultural Gross Domestic Product (GDP), nearly 20% of total GDP, and 20% of national foreign exchange earnings . However, the role of the sector towards the country’s economy has not been in line with its potential. This is associated with several complex and inter-related factors of which inadequate feed is the major one . Major feed resources for ruminants in the country include natural pasture, crop stubble, road and riverside pasture, crop residues, and agro-industrial by-products . These feed resources provide insufficient nutrients beyond maintenance requirements leading to low productivity. This situation is aggravated during the dry season when natural pastures are critically deficient in protein and energy content . Thus, supplementation with high nutritive value feed resources is imperative to improve livestock growth performance and productivity in the country. Among the improved animal feed, sweet lupines crops are the most important one.
Sweet lupine (Lupinus angustifolius L.) is one of the major crops grown in different soil types. Its growth performance compares better than other lupine species . Lupine is relatively more tolerant to several abiotic stresses than other legumes and has a high potential for the recovery of poor and polluted soils . It is important legume crops that form a critical part of sustainable farming systems . Its seeds are employed as a protein source for animal and human nutrition in various parts of the world . It is nature of adaptation to wide range of climates also making it an attractive crop . The crop is adapted to 1500-3000 m.a.s.l. and is being produced mainly by subsistent farmers . It has a potential to grow in marginal lands where other food crops do not. Lupine seed storage and handling is easy as it is hardly attacked by pests. The only requirement for storage is a dry condition that enables its storage for about four to ten years without deterioration in quality .
Lupine (locally in Amharic known as “Gibto” in Ethiopia) is widely used to describe the seeds of different domesticated lupines species. Lupines have twice as much protein as beans, chickpeas, lentils and other legumes . It has crude protein ranging from 30% to 40% of whole seeds , digestible organic matter (DOM) content of 86.28% and relatively low alkaloid content . Lupine is produced by smallholder subsistent farmers in Ethiopia . Little or no information is known about the adaptability and uses of sweet lupines in most of Ethiopian regions like Oromia, especially in Hararghe zones. Currently sweet lupine is produced in many countries as a forage or grain legume. Although bitter white lupine is a traditional pulse crop in Ethiopia, sweet lupine is a new crop to the country . Amhara and Benishangul-Gumuz region is the most potential area in Ethiopia, the former being the largest producer . In Ethiopia, about 95.85% of land coverage and 99.29% of total productions were accounted in Amhara and Benishangulgumz region. . But other regions in Ethiopia lack thus potential due to information gaps.
West Hararge is one of the parts of Oromia region that animal feed is the critical point hinders livestock production and productivity. Feed shortage and low quality problems are the first challenge in livestock production in West Hararghe zone . Introduction and promoting improved forage varieties through different mechanisms such as adaptation study, new varieties development and so on to solve animal feed shortage in West Hararghe zone is the most approaches. Among the improved legumes forage is sweet Lupine is the potential and newly introduced forages that have great role to reduce feed shortage. It is important to introduce improved forages (sweet Lupine) to the study area under smallholder farmers so as to alleviate the problems. So, this activity was initiated with the objective of to evaluate, identify and recommend the best adaptable, high yielder and disease resistance sweet Lupine varieties to the study area.
2. Materials and Methods
2.1. Description of the Study Area
The experiment was conducted during the main cropping season of 2020/21 to 2021/22 in three selected districts of West Hararghe zone. Thus, three districts are Gemechis, Chiro Zuria and Daro Lebu. From Chiro Arba Rakate FTC (Farmer Training Center), from Gemechis Quni Segeria FTC (Farmer Training Center) and from Daro Lebu, Mechara Agricultural Research Center (on station) was used.
Table 1. Study area description.

Parameters

Daro Labu (On station)

Gemechis (Quni Segeria FTC)

Chiro (Arba Rakate FTC)

Altitude

1050-2710 masl

1213-2662 masl

1221-3021 masl

Latitude

08°27 - 08°69N

08°56 - 08°89N

08°97 - 09°21N

Longitude

040°31 - 040°65E

040°34 - 040°89E

040°64 - 041°09E

Mean Annual rain fall

700 - 1494

683 - 1305

444 - 1264

Mean annual max T

28

27

28

Mean annual Min T

15

13

13

Soil texture

Sandy clay loam

Sandy loam

Sandy clay loam-

Total OM

0.1 -2.6

0.0 -3.6

1.143 -2.913

Total N %

0.01 - 0.16

0.0 - 0.2

0.0 - 0.146

Total P%

0.0 5.0

0.0 – 7.0

0.0 -6.65

2.2. Experimental Design and Layout
Five lupines varieties were collected from different research centers that include Vitabor, Bora, Propor, sanabor and Walala and evaluated at the above location for two years. This experiment was conducted with randomized complete block design (RCBD) with four replications of plot size 2 * 2.1 m= 4.2 m2. These varieties were planted in seven rows with the space of 1m, 1m, 0.3m and 0.1m between block, plot, rows and plant respectively at the last week of June. Fertilizer application was uniformly applied to all plots in the form of nitrogen, phosphorous and sulfur blended fertilizer (NPS) and urea at the rate of NPSB 100 kg/ha and 50kg/ha respectively at the time of sowing and 30kg/ha seed rate was used. All other crop management practices like weeding were done uniformly to all plots as required.
2.3. Data Collection
The collected data for the trial were included 50% flowering date, plot cover, stand vigor, leaf to stem ratio, herbage yield, dry matter yield, disease occurrence, pest infestation and plant height, seed per pod, pod per branch and branch per plant. From each plot, 220 gram samples of lupine varieties were taken and dried in a forced draft oven dry at 105°C for 24 hours to get constant weight of dry matter yield.
2.4. Model and Statistical Analysis
Agronomic data was analyzed using ANOVA by the general linear model procedure of SAS, 2002 version 9.0. Means were separated using Least Significant Difference (LSD) at 5% significant level.
The model:
Yijk=+Gi+Ej+Bk(j)+(GE)ij+eijk
Where Gi = Variety effect, Ej = Environmental effect, Bk(j) = Block effect, GEij = Variety and Environment interaction, μ = the overall mean and eijk = random error.
3. Results and Discussions
3.1. Analysis of Variance
The results of the analysis of variance indicated that a significant (p<0.05) variation between lupine varieties on 50% flowering date, maturity date, plant height, grain yield, seed per pod and pod per plant but did not showed significance (p>0.05) differences for leaf steam ration, plot cover, diseases, pest, dry matter and branch per plant (Table 2). The interaction effect of Varieties, locations and years showed a significant (p<0.001) variation for all tested parameters except leaf steam ratio. The effect of year also showed a significance (p<0.001) differences for all tested parameters expect diseases and branch per plant. This might be due to the variations of rainfall distribution during the experimental years. Locations also have significant (p<0.001) effect on all parameters except leaf steam ration.
Table 2. Combined Analysis Mean Sum Square of ANOVA for agronomic parameters.

Source of variation

Variety

Replication

Year

Location

Var*loc

Var*year

Var*Year*Loc

DF

4

3

1

2

8

4

10

50%FD

30.6***

7.05*

667.41***

205.51***

3.79NS

12.22**

56.73***

MD

47.6***

8.93NS

3499.20***

11801.6***

13.35*

38.5***

930.89***

LSR

13.28NS

3.89NS

506.35***

33.71NS

15.46NS

18.11NS

39.11NS

PC

40.35NS

53.73NS

6424.03***

6544.53***

54.63NS

107.4NS

504.33***

PH

454.7***

11.41NS

294.84***

5106.19***

107.7***

32.96NS

211.67***

DI

0.35NS

0.07NS

0.03NS

1.58**

0.38NS

0.22NS

2.58***

Pest

0.050NS

0.04NS

0.13*

0.13**

0.050*

0.050NS

0.07**

SYQtha

29.18*

55.50NS

7663.37***

3985.29***

37.16NS

16.26NS

1455.88***

DMYtha

0.34NS

1.03NS

16.48***

31.84**

0.48NS

0.38NS

4.15***

BPP

20.47NS

85.64NS

86.36NS

235.81***

18.41NS

26.57NS

88.22**

PPP

285.97**

44.32NS

39737.88***

18757.79***

238.69***

200.76*

3684.46***

SPP

0.59*

1.31***

11.41***

1.94***

0.23NS

0.18NS

0.67**

DF = degree freedom, 50FD = 50% flowering date, MD = Maurity date, PC = Plot Cover, DMYtha = dry 50FD = 50% flowering date, MD = Maurity date, PC = Plot Cover, SV = stand vigor, DMYtha = dry matter yield tone per hectare, PH = plant height; SYQtha = Seed yield quintal per hectare, BPP = Branch per plant, PPP = Pod per plant, SPP = Seed per pod
3.2. Date of 50% Flowering and Maturity
Maturity and 50% flowering day were presented in (Table 3). Significance (P<0.05) variation between the varieties on 50% flowering date was observed at Arba Rakate FTC (Farmer Training Center) both years. For Quni Segeria FTC (Farmer Training Center) and on research station, variation was observed only second and first year respectively while no significance (P>0.05) variation was recorded at on station and Quni Segeria FTC for second and first year respectively. Walala variety produced the longest days to 50% flowering at all experimental sites which ranged from 55.5 to 65 days. Sanabor variety produced the shortest days to 50% flowering at on station while Propor, Sanabor, Vitabor and Bora varieties produced the same flowering days. At Quni Segeria FTC, walala variety produced the longest days to 50% flowering whereas the rest varieties produced the same 50% flowering days and at Mieso research site, Propor and Bora produced the shortest days to 50% flowering and Walala variety produced longest days to 50% flowering. The present result days to 50% flowering is shorter than the finding of as reported from 74 to 85.75 days, from 58 to 74 days but similar findings with the reports of from 58.33 to 60.66 days to 50% flowering.
Significance (P<0.05) variation between the sweat lupine varieties on maturing days were observed at on research station for both testing years, Quni Segeria FTC at second year while no significance (P>0.05) variation was recorded at Arba Rakate FTC for both study years. Days to maturity varied at on station from 97 to 114.75 days for Propor and Walal, from 121 to 160.75 days for Sanabor and Walala at Quni Segeria and from 109.5 to 121.75days for Propor and Walala at Arba Rakate FTC respectively. The longest maturing date was recorded for Walala varieties at on station both years which ranged from 99.75 to 114.75 days while the rest varieties were similar to each other. Walala variety also produced the longest days to maturity at Quni Segeria for second year with 160.75 days. Relatively mid altitude (On station) showed early maturing than highland altitude (Quni Segeria and Arba Rakate FTC). Different scholars reported various sweet lupines maturity date. The present result is early maturing than the report of from 163 to 196 days to mature, from 219.67 to 233 days but similar reports with the findings of from 117.33 to 119. 66 days to maturity.
Table 3. Mean 50% flowering and Maturity date of Lupines varieties tested across locations.

Varieties

Date of 50% Flowering

Date of Maturity

On station

Q/Segeria

A/Rakate

On station

Q/Segeria

A/Rakate

2021

2022

2021

2022

2021

2022

2021

2022

2021

2022

2021

2022

Vitabor

56a

63.25

55.25

61.0b

55.5a

54.0bc

97.25b

110.75ab

121

152.5b

121

109.75

Bora

54.25a

63

55.75

59.8b

53.25b

54.75b

98.5ab

108.25ab

121.75

153.25b

121.25

109.5

Propor

55a

63.75

56.5

60.0b

55.75a

52.5c

97b

106.25b

122.25

150.5b

120.75

109.5

Walala

55.5a

65

56.75

65.0a

56.5a

59.0a

99.75a

114.75a

121.5

160.75a

120.25

111

Sanabor

51.5b

64.25

56.25

61.5b

55.75a

53.5bc

98ab

106.50b

121

151.0b

121.75

110.75

Mean

54.45

63.85

56.1

61.45

55.35

54.75

98.1

109.30

121.5

153.60

121

110.10

CV

3.21

2.99

1.99

2.72

2.29

2.66

1.2

4.68

1.25

1.54

0.87

1.3

LSD

2.69

2.94

1.72

2.58

1.95

2.24

1.82

7.88

2.38

3.64

1.63

2.20

P-Value

**

NS

NS

**

**

***

**

*

NS

***

NS

NS

Q/Segeria = Quni Segeria FTC, A/Rakate = Arba Rakate FTC
3.3. Dry Matter and Seed Yield
Dry matter yield and seed yield was presented in (Table 4). There was a statistical (P<0.05) variation between the varieties at Arba Rakate FTC in both testing years and only first year on station. On the other hand statistical (>0.05) variation was not recorded at Quni Segeria FTC for both years that similar findings were reported by forage yield was not significantly different between the local landrace and lupines group at all locations except at one location. This result showed that the dry matter content of sweet lupine forage was not affected by the interaction of location, variety and year. Dry matter yield ranged from 0.66 3.10 t/ha at on station while at Quni Segeria, it was varied between 2.77 to 4.75t/ha. At Arba Rakate FTC, dry matter yield was ranged from 2.58 to 3.78t/ha. Walala produced the highest dry matter yield at on station while the rest four varieties were produced similar results. Propor and Walala varieties were produced the highest dry matter yield at Arba Rakate FTC and no dry matter yield difference at Quni Segeria FTC for both years. Relatively sweat lupines varieties gives higher dry matter yield for highland altitude location than midland altitude location. The forage yield of sweet lupines in this study is comparable with the yield reported by who reported a mean forage yield of 3.46t/ha, 3.3 t/ha as reported by but higher than the finding of who reported dry matter yield from 0.52t/ha to 1.36 t/ha and from 0.7 t/ha to 1.6 t/ha. Propor and Sanabor varietis performed better than other varieties in terms of dry matter yield.
Seed yield of sweet lupine varieties used for the present study has not showed significance (p>0.05) variation among varieties at Quni Segeria both study years and first year at on station and similar results reported by there was no significant difference in seed yield among all determinate and indeterminate groups of lupines across locations except at one location. On the other hand, there were statistical (p<0.05) variation between the varieties at Arba Rakate FTC both experimental years and second year at on station. Lupines seed yield varied from 7.56 to 13.93 qt/ha at on station while from 3.92 to 57.5qt/ha. On the other hand, at Arba Rakate FTC, it was varied from 6.22 to 18.6 qt/ha. The maximum and minimum seed yield was recorded at Quni segeria and on station during the second experimental year. The seed yield of the present finding is higher than the reports of from 2.68 to 4.7qt/ha of same varieties but lower than the findings of who reported the maximum seed yield to 33qt/ha, from 16.8 to 43.75qt/ha as reported by . Walala and Propor varieties are high seed yielder than the rest varieties so as recommended for the study area.
Table 4. Mean Dry matter Yield and Grain yield of Lupines varieties tested across locations.

Treatments

Dry matter Yield (t/ha)

Seed yield (qt/ha)

On station

Q/Segeria

A/Rakate

On station

Q/Segeria

A/Rakate

2021

2022

2021

2022

2021

2022

2021

2022

2021

2022

2021

2022

Vitabor

2.88

0.78ab

2.77

3.22

3.12ab

3.02bc

11.89ab

7.56

3.92

46.4

6.22

12.3bc

Bora

2.91

0.62ab

3.84

2.87

3.19ab

3.56ab

11.91ab

9.62

4.63

52.3

9.33

8.5c

Propor

2.61

0.66ab

4.75

3.14

2.76b

3.78a

10.81b

7.95

6.31

57.5

7.01

12.4bc

Walala

2.8

0.92a

3.54

3.16

2.58b

3.72a

12.33ab

8.69

4.12

52

9.93

18.6a

Sanabor

3.10

0.71ab

3.52

3.86

3.44a

2.66c

13.93a

9.82

4.08

48

9.74

14.2ab

Mean

2.86

0.74

3.68

3.25

3.02

3.35

12.17

8.73

4.61

51.2

8.45

13.2

CV

17.06

24.6

38.47

45.7

14.41

11.54

12.75

17.57

59.5

16.2

39.84

25.9

LSD

0.75

0.28

2.18

2.29

0.67

0.59

2.39

2.36

4.23

12.8

5.18

5.3

P-Value

NS

*

NS

NS

*

**

**

NS

NS

NS

NS

*

Q/Segeria = Quni Segeria FTC, A/Rakate = Arba Rakate FTC, (qt/ha) = quintal per hectare, (t/ha) = tone per hectare
3.4. Diseases and Pest Occurrences
Diseases caused by Fusarium spp are the most important ones in sweet lupine production . The results of insects and diseases occurrence were presented in (Table 5). From the present result, there is no significance (p>0.05) variation in terms of diseases occurrence among the varieties except first year at Quni Segeria FTC. Relatively, Sanabor followed by Propor varieties infected by fusarium wilt while Bora and Walala varieties were tolerant. In contrast to the present result, that Vitabor, Sanabor, Probor and Bora was not infected by the diseases.
Figure 1. Fusarium oxysporum f.sp. lupini (wilt of lupin).
Table 5. Mean Insect Incidences and Diseases occurrence of Lupines varieties tested across locations.

Varieties

Insect Incidences

Diseases occurrence

On station

Q/Segeria

A/Rakate

On station

Q/Segeria

A/Rakate

2021

2022

2021

2022

2021

2022

2021

2022

2021

2022

2021

2022

Vitabor

1

1

1

1b

1

1

2.5

1

1.25b

1

1.5

1

Bora

1

1

1

1.50a

1

1

2

1

1.25b

1

1.25

1

Propor

1

1

1

1.50a

1

1

2.5

1

1.5b

1

2

1

Walala

1

1

1

1b

1

1

2

1

1.5b

1

1.5

1

Sanabor

1

1

1

1b

1

1

2.25

1

2.75a

1

1.25

1

Mean

1

1

1

1.20

1

1

2.25

1

1.65

1

1.5

1

CV

0

0

0

26.4

0

0

31.9

0

35.4

0

38.9

0

LSD

0

0

0

0.48

0

0

1.11

0

0.9

0

0.9

0

P-Value

NS

NS

NS

*

NS

NS

NS

NS

**

NS

NS

NS

Q/Segeria = Quni Segeria FTC, A/Rakate = Arba Rakate FTC
3.5. Seed Per Pod and Pod Per Plant
There were significance (P<0.05) variation of seed per pod at on station and Quni Segeria during second year but there were no statistical (p>0.05) variation between the varieties at Arba Rakate FTC both years and on station and Quni Segeria second trial year (Table 6). Seed per pod varied from 3.73 to 5.1 at on station, from 3.55 to 5.3 at Quni segeria FTC and from 3.7 to 4.2 at Arba Rakate FTC. The highest seed per pod were produced during the second experimental year at all locations that might be due to rain fall differences. Different scholars reported different seed per pod of different lupines varieties. reported from 4.10 to 7.34, from 4 to 5.3 as reported by . The present finding of seed per pod of different lupines varieties were similar with different scholars.
There were a significant (p<0.05) variation for pod per plant of lupine varieties across all location except second year at Arba Rakate FTC during second year (Table 6). Pod per plant for on station ranged from 11.2 to 24.9 at on station, for Quni Segeria, it was varied from 12.4 to 126.1 and at Arba Rakate FTC, it was ranged from 10.45 to 33.45. The tested varieties were produced more pod per plant during the second year at all locations. Bora and Sanabo varieties produced higher pod per plant than the other tested varieties. reported significance variation among lupines varieties in terms of pod per plant ranged from 17.3 to 33.1, 24.85 to 48.10 and 9.67 to 25 respectively.
Table 6. Mean Seed per Pod and Pod per Plant of Lupines varieties tested across locations.

Treatments

Seed per Pod

Pod Per Plant

On station

Q/Segeria

A/Rakate

On station

Q/Segeria

A/Rakate

2021

2022

2021

2022

2021

2022

2021

2022

2021

2022

2021

2022

Vitabor

4

5.1a

3.8

5b

4.2

4.2

11.2b

15.7b

12.4b

78.8b

14.08b

28.9

Bora

3.83

4.8ab

3.55

4.9bc

4.1

4.1

11.65b

21.4ab

15.7a

126.1a

14.4ab

28.35

Propor

4.12

4.6b

4.3

5.3a

3.95

3.95

11.55b

20.1ab

14.1ab

95b

13.95b

28.15

Walala

3.83

4.2c

3.95

4.8c

3.7

3.7

14.25a

24.9a

12.8b

90.6b

10.45c

33.45

Sanabor

3.73

4.75b

3.6

4.8c

3.85

3.85

11.55b

23.5a

14.8a

103.2ab

16.4a

27.45

Mean

3.9

4.67

3.84

4.92

3.96

3.96

12.04

21.12

13.96

98.72

13.92

29.26

CV

10.54

4.16

15.37

3.1

15.56

15.56

13.69

21.57

8.05

18.84

11.78

23.22

LSD

0.63

0.29

0.91

0.24

0.95

0.95

2.54

7.02

1.73

28.7

2.52

10.47

P-Value

NS

*

NS

*

NS

NS

*

*

**

**

**

NS

Q/Segeria = Quni Segeria FTC, A/Rakate = Arba Rakate FTC
3.6. Plot Cover and Leaf-Steam Ratio
The result of plot cover and leaf-steam ratio is present in (Table 7). There were no statistical (p>0.05) difference between the varieties both for plot cover and leaf steam ratio but statistical (p<0.05) variation was recorded for plot cover at on station both years. Walala and Bora varieties produced better plot cover at on station second and first experimental year respectively. Plot cover increases from mid to high land for all tested lupines varieties.
Table 7. Plot cover and leaf stem ratio.

Treatments

Plot Cover

Leaf stem ratio

On station

Q/Segeria

A/Rakate

On station

Q/Segeria

A/Rakate

2021

2022

2021

2022

2021

2022

2021

2022

2021

2022

2021

2022

Vitabor

67.5ab

57.5b

71.25

96.3

82.75

96.25

1.50

1.71

1.89

1.09

1.52

1.42

Bora

70a

62.5ab

72.5

97.5

70

96.75

1.92

1.71

1.52

1.65

1.54

1.43

Propor

65ab

56.3b

73.75

97.5

75

98.5

1.58

1.37

1.70

1.17

1.73

1.49

Walala

53.75b

76.3a

73.75

96.3

81.25

98.5

1.92

1.29

1.77

1.44

1.59

1.5

Sanabor

66.25ab

68.8ab

67.5

99

85

98

1.71

1.50

1.61

1.38

1.61

1.25

Mean

64.5

64.3

71.75

97.3

78.8

97.4

1.72

1.52

1.69

1.35

1.59

1.42

CV

15.29

16.1

16.31

2.52

16.13

2.31

24.30

24.97

16.41

33.12

20.99

23.13

LSD

15.19

15.9

18.03

3.77

19.59

3.46

0.65

0.58

0.43

0.69

0.52

0.51

P-Value

*

*

NS

NS

NS

NS

NS

NS

NS

NS

NS

NS

Q/Segeria = Quni Segeria FTC, A/Rakate = Arba Rakate FTC
3.7. Variety Adaptability and Stability Analysis
Mean squares of genotypes, environments and GEI were presented in (Table 8). According to AMMI analysis, only environments is highly significant (p < 0.001), indicating the existence of differential responses of environments for the varieties. There were no statistical (p>0.5) variation between the varieties.
Table 8. ANOVA table for AMMI model.

Source

d.f.

s.s.

m.s.

v.r.

F pr

Total

119

196.43

1.651

Varieties

4

1.37

0.342

0.27

0.8946

Environments

2

63.72

31.861

39.45

<0.001

Block

9

7.27

0.808

0.65

0.7559

Interactions

8

3.87

0.484

0.39

0.9256

IPCA 1

5

3.20

0.640

0.51

0.7670

IPCA 2

3

0.67

0.222

0.18

0.9114

Error

96

120.21

1.252

Interaction principal component analysis (IPCA) scores and stability values (ASV) presented in (Table 9). Stability analysis methods are often used by breeders to identify genotypes that have stable performance and respond positively to improvements in environmental conditions . AMMI stability value (ASV) indicates the stability of varieties. Varieties having low ASV are considered more stable while those with high values are less stable . Accordingly, both Propor and Walala varieties where scored lowest ASV values for dry matter yield and seed yield indicated that the most stable varieties than the others tested varieties.
Table 9. IPCA1, IPCA2, ASV and mean dry matter and seed yield of five lupines varieties over three environments.

Varieties

IPCA1

IPCA2

AVS

Mean DM yield (t/ha)

IPCA1

IPCA2

AVS

Mean seed yield (qt/ha)

Vitabor

0.46052

0.03768

5.629 (5)

2.630

0.52043

0.4871

0.739 (1)

14.71

Bora

0.15940

-0.32996

0.339 (3)

2.837

-0.58494

0.80679

0.911(4)

16.05

Propor

-0.18127

-0.16454

0.259 (1)

2.944

-0.5548

-0.41866

0.846 (2)

17.00

Walala

0.14883

0.07508

0.304 (2)

2.785

0.44069

-0.86592

0.894(3)

17.62

Sanabor

-0.18748

0.38174

0.393 (4)

2.885

1.07862

0.39069

3.003(5)

16.62

Walala followed by Propor varieties were nearly closed to the origin and the most stable with little responsive to the variety environment interaction whereas the rest varieties far from the origin are sensitive to environmental changes and the most unstable (figure 2). Propor variety produced the largest dry matter yield that high yielder and wider stability performance variety is the most desirable for wider area recommendation.
Figure 2. AMMI GGbiplot for dry matter yield.
Environments suitability is also classified according their position found in the quadrant. Kuni Segeria and on station found in 1st and 2nd quadrant were favorable environments whereas, Arba Rakate found in 4th quadrant were considered as unfavorable environments for dry matter yield production (figure 3). According to the present study, the ideal environment for sweet lupine production is Kuni segeria followed by on station.
Figure 3. AMMI GGbiplot ideal environment for dry matter yield.
4. Conclusion and Recommendation
The present results showed significant differences among sweet lupines for agronomic traits for 50% flowering date, maturity date, seed yield, seed per pod and pod per plant while significance variation was not recorded for mean dry matter yield, pest and diseases, plot cover and leaf stem ration. The mean variation of varieties for seed yield ranged from 17.00 to 17.61qt/ha with a mean seed yield of 16.63qt/ha. The varieties of dry matter yield was ranged from 2.94t/ha to 2.88t/ha with an average of 2.82 t/ha. The highest dry matter was recorded from Propor variety and seed yield was from Walala followed by Propor varieties. The two varieties were most stable across different agro ecologies. So, it is possible to recommend Walala and Propor varieties as alternative feed resources under smallholder conditions in the study areas and other places of West Hararghe zone of Oromia region with similar climatic and edaphic conditions.
Acknowledgments
The authors give great thanks to animal feed research team members who helped with data collection, data manipulation, data processing and helps for publishing of this article. The authors would also like to gives great thanks to the Oromia Agricultural Research Institute, Mechara Agricultural Research Center for financial funding and logistic facilitation.
Author Contributions
Tamrat Dinkale: Conceptualization, Formal Analysis, Investigation, Methodology, Software, Supervision, Validation, Writing – original draft, Writing – review & editing
Lensa Urgesa: Data curation, Investigation, Supervision
Jibrail Hassan: Data curation, Supervision
Funding
This research was funded by the Oromia Agricultural Research Institute, Mechara Agricultural Research Center.
Data Availability Statement
The Data used to support the results of this work is available from the corresponding author upon request at any time.
Conflicts of Interest
The authors declare no conflicts of interest.
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    Dinkale, T., Urgesa, L., Hassan, J. (2024). Adaptation Trial of Sweet Lupine (Lupinus angustifolius L.) Varieties in West Hararghe Zone, Oromia, Ethiopia. Agriculture, Forestry and Fisheries, 13(5), 148-158. https://doi.org/10.11648/j.aff.20241305.13

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    Dinkale, T.; Urgesa, L.; Hassan, J. Adaptation Trial of Sweet Lupine (Lupinus angustifolius L.) Varieties in West Hararghe Zone, Oromia, Ethiopia. Agric. For. Fish. 2024, 13(5), 148-158. doi: 10.11648/j.aff.20241305.13

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    AMA Style

    Dinkale T, Urgesa L, Hassan J. Adaptation Trial of Sweet Lupine (Lupinus angustifolius L.) Varieties in West Hararghe Zone, Oromia, Ethiopia. Agric For Fish. 2024;13(5):148-158. doi: 10.11648/j.aff.20241305.13

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  • @article{10.11648/j.aff.20241305.13,
      author = {Tamrat Dinkale and Lensa Urgesa and Jibrail Hassan},
      title = {Adaptation Trial of Sweet Lupine (Lupinus angustifolius L.) Varieties in West Hararghe Zone, Oromia, Ethiopia
    },
      journal = {Agriculture, Forestry and Fisheries},
      volume = {13},
      number = {5},
      pages = {148-158},
      doi = {10.11648/j.aff.20241305.13},
      url = {https://doi.org/10.11648/j.aff.20241305.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.aff.20241305.13},
      abstract = {Little or no information is known about the adaptability and uses of sweet lupine in the Oromia region, especially in Hararghe zones where animal feed shortage is the bottleneck for smallholder farmers. This activity was initiated to evaluate and identifying the best performing sweet lupine varieties in herbage yield, best adaptive and high seed yielder from 2020/21 to 2021/22. The results of the analysis of variance indicated a significant (p0.05) variation was not recorded. Dry matter yield ranged from 0.66 to 3.10 t/ha at on station while at Quni Segeria and Arba Rakate FTC, it varied between 2.77 to 4.75t/ha and 2.58 to 3.78t/ha respectively. Lupines seed yield varied from 7.56 to 13.93 qt/ha at on station, from 3.92 to 57.5 qt/ha at Quni Segeria FTC, and from 6.22 to 18.6 qt/ha at Arba Rakate FTC. This study showed that there is a high potential to cultivate sweet lupines in the study area. Sweet lupine Walala followed by Propor varieties tolerant to diseases and pests. From this study, it is concluded that the sweet lupine variety Walala followed by Propor was found promising in terms of agronomic traits, DM yield, and seed yield than other varieties during the experimental years that need further evaluation of animal palatability and absorption potential. So, it is possible to recommend Walala and Propor varieties as alternative feed resources under smallholder conditions in the study areas and other places of the West Hararghe zone of the Oromia region with similar climatic and edaphic conditions.
    },
     year = {2024}
    }
    

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  • TY  - JOUR
    T1  - Adaptation Trial of Sweet Lupine (Lupinus angustifolius L.) Varieties in West Hararghe Zone, Oromia, Ethiopia
    
    AU  - Tamrat Dinkale
    AU  - Lensa Urgesa
    AU  - Jibrail Hassan
    Y1  - 2024/09/20
    PY  - 2024
    N1  - https://doi.org/10.11648/j.aff.20241305.13
    DO  - 10.11648/j.aff.20241305.13
    T2  - Agriculture, Forestry and Fisheries
    JF  - Agriculture, Forestry and Fisheries
    JO  - Agriculture, Forestry and Fisheries
    SP  - 148
    EP  - 158
    PB  - Science Publishing Group
    SN  - 2328-5648
    UR  - https://doi.org/10.11648/j.aff.20241305.13
    AB  - Little or no information is known about the adaptability and uses of sweet lupine in the Oromia region, especially in Hararghe zones where animal feed shortage is the bottleneck for smallholder farmers. This activity was initiated to evaluate and identifying the best performing sweet lupine varieties in herbage yield, best adaptive and high seed yielder from 2020/21 to 2021/22. The results of the analysis of variance indicated a significant (p0.05) variation was not recorded. Dry matter yield ranged from 0.66 to 3.10 t/ha at on station while at Quni Segeria and Arba Rakate FTC, it varied between 2.77 to 4.75t/ha and 2.58 to 3.78t/ha respectively. Lupines seed yield varied from 7.56 to 13.93 qt/ha at on station, from 3.92 to 57.5 qt/ha at Quni Segeria FTC, and from 6.22 to 18.6 qt/ha at Arba Rakate FTC. This study showed that there is a high potential to cultivate sweet lupines in the study area. Sweet lupine Walala followed by Propor varieties tolerant to diseases and pests. From this study, it is concluded that the sweet lupine variety Walala followed by Propor was found promising in terms of agronomic traits, DM yield, and seed yield than other varieties during the experimental years that need further evaluation of animal palatability and absorption potential. So, it is possible to recommend Walala and Propor varieties as alternative feed resources under smallholder conditions in the study areas and other places of the West Hararghe zone of the Oromia region with similar climatic and edaphic conditions.
    
    VL  - 13
    IS  - 5
    ER  - 

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Author Information
  • Oromia Agricultural Research Institute, Mechara Agricultural Research Center, Mechara, Ethiopia

  • Oromia Agricultural Research Institute, Mechara Agricultural Research Center, Mechara, Ethiopia

  • Oromia Agricultural Research Institute, Mechara Agricultural Research Center, Mechara, Ethiopia

  • Abstract
  • Keywords
  • Document Sections

    1. 1. Introduction
    2. 2. Materials and Methods
    3. 3. Results and Discussions
    4. 4. Conclusion and Recommendation
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  • Acknowledgments
  • Author Contributions
  • Funding
  • Data Availability Statement
  • Conflicts of Interest
  • References
  • Cite This Article
  • Author Information