1Department of Plant science, Jinka University, college of Agriculture and Natural Resource, Jinka, South Ethiopia
Muluhabt Birhane, Department of Plant science, Jinka University, college of Agriculture and Natural Resource, Jinka, South Ethiopia
Muluhabt Birhane, Daniel Abebe, Addishiwot Wondmu, Hafize Adem. Phosphorus Use Efficiency and Yield Performance of Haricot Bean (Phaseolus vulgaris L.) in South Omo Zone, Southern regional state, Ethiopia. J. Food Nutr. Vol. 5 Iss. 1. (2026) DOI: 10.58489/2836-2276/042
© 2026 Muluhabt Birhane, this is an open-access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Haricot bean, Phosphorus, Yield efficiency
Haricot bean (Phaseolus vulgaris L.) is an important pulse crop in Ethiopia, serving as a major source of food, income, and soil fertility improvement. Despite its importance, haricot bean productivity in many parts of the country remains low, mainly due to phosphorus (P) deficiency in soils and the use of low-yielding varieties. This study was conducted to evaluate the phosphorus yield efficiency of fifteen haricot bean varieties under contrasting phosphorus conditions in two districts (Ben Tsemay and Bako Dawula) of South Omo Zone, Southern Ethiopia. The experiment was laid out in a randomized complete block design with three replications at each location. Each variety was grown under two phosphorus treatments: with the recommended rate of phosphorus fertilizer and without phosphorus application. Data were collected on phenological traits (days to 50% flowering and 90% maturity), growth parameters (plant height and number of branches), and yield and yield components, including number of pods per plant, number of seeds per pod, thousand seed weight, biological yield, grain yield, and harvest index. Analysis of variance was conducted for individual locations and combined across locations. The results revealed significant differences among the haricot bean varieties in terms of phosphorus yield efficiency, grain yield, and other yield-related traits under both phosphorus conditions. Under the recommended phosphorus application, varieties Sere 119, Nasir, and Sere 125 produced the highest grain yields. In contrast, under no phosphorus application, Sere 125, Sere 119, Dinknesh, and Nasir performed better than the other varieties. Moreover, DRK, SAB 736, and Sere 125 exhibited superior phosphorus yield efficiency. These varieties show strong potential for improving haricot bean productivity in phosphorus-deficient soils and in low-input farming systems where phosphorus fertilizer use is limited.
Haricot bean (Phaseolus vulgaris L.) is one of the most important pulse crops grown in Ethiopia, widely distributed across different agroecological zones depending on climatic conditions and socio-economic factors. The crop plays a vital role in food security and household income, serving as both a staple food and a major cash crop for smallholder farmers. In addition to domestic consumption, haricot bean is exported and contributes to foreign exchange earnings for the country [1,2]. In Ethiopia, both red and white seeded haricot bean types are among the most widely cultivated pulse crops.
According to the Central Statistical Agency [3], Ethiopia’s total annual production of haricot bean is estimated at 357,942.4 tons, with a national average yield of 1.69 t ha⁻¹. In the Southern Nations, Nationalities and Peoples’ Regional State (SNNPRS), production reaches approximately 146,867.2 tons from 94,005.38 ha, resulting in an average productivity of 1.56 t ha⁻¹. However, haricot bean productivity in South Omo Zone is considerably lower, with a total production of only 5,125.2 tons harvested from 4,584.52 ha and an average yield of 1.2 t ha⁻¹ [3]. In southern Ethiopia, haricot bean is widely cultivated and consumed as part of traditional diets, serving as an affordable source of protein that complements cereal-based staple foods such as maize (Zea mays L.) and Enset (Enset ventricosum), commonly known as false banana [2]. Beyond its use as grain, haricot bean residues play a vital role in smallholder farming systems, being utilized as livestock feed, fuel, mulching material, bedding, and construction inputs for rural housing, particularly among resource-poor farmers.
Despite its importance, haricot bean productivity in Ethiopia is constrained by several biotic and abiotic factors. Biotic constraints include diseases, insect pests, weeds, and the low yield potential of local landraces, while major abiotic constraints include low soil fertility, soil acidity, drought, waterlogging, and frost. Among soil fertility constraints, phosphorus (P) deficiency is one of the most critical factors limiting crop production [4]. Phosphorus is the second most important plant nutrient after nitrogen and is required in relatively large amounts for optimal plant growth and development [5]. Studies on Ethiopian soils have consistently shown that available phosphorus levels are generally low and insufficient to support optimum crop growth [6]. Although phosphorus fertilization can significantly increase crop yield, the high cost of inorganic fertilizers makes them unaffordable for many smallholder farmers [7-8].
Research findings under Ethiopian conditions and elsewhere in Africa have demonstrated substantial yield increases in haricot bean and other crops in response to phosphorus application [9-10]. However, long-term and continuous use of inorganic fertilizers may negatively affect soil quality. An alternative and sustainable approach is the use of crop varieties with higher phosphorus use efficiency, particularly in soils with low available phosphorus. Significant genetic variation in phosphorus use efficiency among crop varieties has been reported [11-15]. [16] emphasized the importance of selecting crop cultivars adapted to low or medium soil fertility conditions to address soil fertility challenges in Ethiopia.
Although breeding programs for haricot bean in Ethiopia have largely focused on improving grain yield and seed quality through varietal development and fertilizer application, limited attention has been given to improving phosphorus yield efficiency. This gap highlights the need for systematic evaluation of released haricot bean varieties under contrasting phosphorus conditions. Therefore, this study was conducted to evaluate the phosphorus use efficiency and yield performance of haricot bean (Phaseolus vulgaris L.) in the South Omo Zone, Southern Ethiopia.
Description of the Study Area
The experiment was conducted at two locations, Bena Tsemay and Bako Dawula districts, in the South Omo Administrative Zone of the Southern Regional State, Ethiopia. Since the districts are recently established and reliable agroecological data are limited, site-specific information was generated during the study. Soil samples were collected from each experimental field and analyzed for selected physicochemical properties, including texture, pH, and organic matter. Altitude of each experimental site was determined using a Global Positioning System (GPS).
Treatments and Experimental Design
Fifteen nationally released haricot bean (Phaseolus vulgaris L.) varieties obtained from Melkassa and Debre Zeit Agricultural Research Centers were evaluated (Table 1). The experiment was laid out in a randomized complete block design with three replications. Two phosphorus treatments were applied: recommended phosphorus rate and no phosphorus application. Each block was divided into two adjacent sub-blocks representing the phosphorus treatments, separated by 1 m. Each plot had a size of 3.2 m² (1.6 m × 2 m) and consisted of four rows with inter-row and intra-row spacing of 40 cm and 10 cm, respectively. Twenty-five seeds were planted per row. Phosphorus was applied as triple superphosphate (TSP, 46% P₂O₅) at the recommended rate as a basal application. Nitrogen was uniformly applied to all plots in the form of urea at a rate of 25 kg ha⁻¹. All other agronomic practices were carried out according to the national recommendations for haricot bean production
|
No
|
Name of varieties
|
Year of release
|
Altitude
|
Seed color
|
Productivity
|
|
|
|
|
|
|
|
On research’s
|
On farmer’s
|
|
1
|
Ser 125
|
2017
|
1000-1850
|
Medium red
|
21
|
19-21
|
|
2
|
Ser 119
|
2014
|
1300-1800
|
Large red
|
22-26
|
19-24
|
|
3
|
Deme
|
2008
|
1300-1800
|
Large red
|
19-22
|
18-20
|
|
4
|
DRK
|
2007
|
1300-1950
|
Large dark
|
19-22
|
16
|
|
5
|
Awash 2
|
2007
|
1300-1950
|
Large red
|
19-27
|
16
|
|
6
|
KAT B9
|
2017
|
1100-1950
|
Large red
|
17-27
|
17-23
|
|
7
|
Awashmitin
|
2017
|
1100-2150
|
Large yellow
|
21
|
19-21
|
|
8
|
SAB 736
|
2017
|
1100-1950
|
Large red
|
19-24
|
21
|
|
9
|
Birazil
|
2013
|
1300-1650
|
Medium red
|
22-30
|
19-23
|
|
10
|
Dinkinesh
|
2013
|
1300-1650
|
Medium yellow
|
19-33
|
17-25
|
|
11
|
SAB 632
|
2012
|
1400-2200
|
Large red
|
25
|
20
|
|
12
|
KAT B1
|
2011
|
1400-2200
|
Large red
|
30
|
22
|
|
13
|
Melkadme
|
2006
|
1300-1800
|
Medium red
|
28
|
18
|
|
14
|
Local
|
2006
|
1400-1850
|
Small red
|
25-30
|
20-23
|
|
15
|
Nasir
|
2014
|
1450-2000
|
Small red
|
33
|
25
|
Table 1. Released haricot bean varieties used in phosphorus yield efficiency trial
ource of the varieties: MARC
Physico-chemical Properties of the Soil
The physico-chemical properties of the soils at the experimental sites were determined before sowing of the haricot bean crop and are presented in Table 2. Soil pH at both locations ranged from slightly acidic to near neutral. The soils contained moderate levels of organic matter and organic carbon, while total nitrogen content varied between the sites. Cation exchange capacity (CEC) values indicated low to moderate nutrient-holding capacity. Available phosphorus levels were generally low, confirming phosphorus deficiency at the study sites and justifying the evaluation of haricot bean varieties under contrasting phosphorus conditions.
|
Location
|
pH
|
OM (%)
|
OC (%)
|
TN (%)
|
CEC (cmol kg⁻¹)
|
Available P (mg kg⁻¹)
|
|
Goldiya
|
6.88
|
4.57
|
2.65
|
0.07
|
13.8
|
12.35
|
|
Kure
|
6.57
|
4.61
|
2.69
|
0.11
|
9.6
|
13.83
|
Where pH = soil-to-water suspension ratio (1:2.5), OM = organic matter, OC = organic carbon, TN = total nitrogen, CEC = cation exchange capacity, and P = available phosphorus
Table 2. Major physico-chemical characteristics of the soils of the study area before sowing
Data Collected
Data were collected on phenological, growth, and yield-related parameters.
Phenological Observations Included
Days to 50% flowering:-recorded as the number of days from planting to when 50% of plants in a plot had at least one open flower.
Days to 90% maturity:- measured as the number of days from planting to when 90% of plants in a plot showed physiological maturity, indicated by a change in pod and leaf color.
Plant height :- was measured in centimeters from the soil surface to the tip of the main stem at maturity.
The number of branches per plant:- was determined by counting branches on ten randomly selected plants per plot.
Yield and yield component data included
The number of pods per plant :recorded as the average number of mature pods counted from ten randomly selected plants at harvest.
The number of seeds per pod :-determined from five randomly selected pods per plant.
Hundred seed weight:- was measured in grams by weighing 100 seeds after harvest.
Grain yield :- was estimated by harvesting the two central rows of each plot and converting the yield to a plot basis.
Biological yield :- was determined by oven-drying the aboveground biomass of five sampled plants and expressing the average weight per plant.
Harvest index:-was calculated as the ratio of grain yield to biological yield, multiplied by 100.
Phosphorus yield efficiency (PYE): The efficiency of phosphorus yield was calculated according to the equation formulated by Khair et al., 2002
PYE= Grain yield of treated plants (g)
Phosphorus applied to treated plants (g)
Statistical Analysis
Data were first subjected to analysis of variance (ANOVA) for each location and phosphorus level separately. Homogeneity of error variances between locations was tested using the F-ratio (larger mean square error divided by smaller mean square error) before conducting combined analysis. Pooled analysis of variance across locations and phosphorus levels was performed using [17]. Treatment means were compared using Duncan’s Multiple Range Test (DMRT) at the appropriate significance level, following the procedure described by [18] Gomez and Gomez (1984).
Analysis of Variance
The analysis of variance revealed significant differences among haricot bean genotypes for most agronomic and yield-related traits under both phosphorus-applied and phosphorus-deficient conditions across locations (Tables 3 and 4). This indicates the presence of substantial genetic variability among the tested genotypes. Under phosphorus application, genotypes exhibited significant variation for all traits except days to 90% maturity, number of seeds per pod, and harvest index across locations (Table 4). Conversely, under no phosphorus application, genotypic differences were significant for most traits, except days to 50% flowering and days to 90% maturity at both locations (Table 3).
The combined analysis across locations showed that genotype effects were significant for nearly all traits, except 100-seed weight and harvest index under phosphorus application (Table 4), and days to 50% flowering, days to 90% maturity, and 100-seed weight under phosphorus-deficient conditions (Table 3).The genotype × location (G × L) interaction was highly significant for most traits under both phosphorus regimes, except days to 50% flowering, days to 90% maturity, and harvest index (Tables 3 and 4). At Goldiya, phosphorus application significantly affected days to 50% flowering, plant height, number of pods per plant, biological yield, and grain yield across genotypes (Table 4). The genotype × phosphorus (G × P) interaction was significant for days to 90% maturity, plant height, number of seeds per pod, grain yield, and harvest index (Table 4). At Kure, phosphorus application had a highly significant effect on most traits, except days to 90% maturity and plant height (Table 4). The genotype × phosphorus interaction was significant for all traits except days to 50% flowering, days to 90% maturity, and plant height. Genotypes also showed highly significant differences for most traits at this location (Table 4). The three-way interaction (genotype × location × phosphorus) was significant for most traits, except days to 50% flowering, days to 90% maturity, plant height, and number of pods per plant when evaluated across environments. In addition, the main effects of location, phosphorus, and genotype were highly significant for most traits (Table 5)
|
Goldiya
|
|
|
Kure
|
Combined
|
|||||||
|
trait
|
G
|
Error
|
|
G
|
Error
|
|
L
|
G
|
G X L
|
Error
|
|
|
|
df=14
|
df=28
|
CV
|
df=14
|
df=28
|
CV
|
df=1
|
df=14
|
df=14
|
df=58
|
CV
|
|
DF
|
13*
|
3.2
|
4.2
|
13.3n
|
11.8
|
8.3
|
15.2
|
17.3n
|
9.94n
|
7.22
|
6.4
|
|
DM
|
8.5n
|
7.3
|
3.7
|
11.8n
|
6.8
|
3.6
|
40
|
13.7n
|
6.7n
|
8.7
|
4.1
|
|
PLH
|
154**
|
28
|
13.9
|
386
|
29
|
12
|
1.2*
|
453**
|
87*
|
28
|
12.7
|
|
NB
|
23**
|
0.5
|
7.3
|
0.5n
|
0.4
|
14
|
645*
|
13.4**
|
10.7*
|
0.4
|
9.4
|
|
PPP
|
34**
|
2
|
10.3
|
0.27**
|
0.9
|
7.4
|
41.3*
|
39**
|
23**
|
1.5
|
9.1
|
|
PPP
|
2.9*
|
0.6
|
13.2
|
2.6**
|
0.4
|
12.7
|
22.5
|
3.55**
|
2.1**
|
0.54
|
13
|
|
HW
|
**
|
|
4.4
|
**
|
|
8.4
|
|
|
|
|
6.6
|
|
GY
|
0.01**
|
|
5.3
|
16.3**
|
|
15.3
|
|
0.55**
|
0.02**
|
0.01
|
11.4
|
|
BY
|
0.3**
|
0.01
|
5.4
|
0.24**
|
0.1
|
12.8
|
0.38
|
0.45**
|
0.09**
|
0.02
|
10.5
|
|
HI
|
190**
|
5.2
|
7.5
|
169**
|
16.3
|
14.3
|
359
|
219**
|
139**
|
12.2
|
11.56
|
DF = Days to 50% flowering, DM = Days to 90% maturity, GFP= Grain filling period, CHS= chocolate spot, PLH = Plant Height, PPP = Number of pod per plant, SPP = Number of seed per pod, TSW = Thousand seed weight, BY= Biological yield, GY=Grain yield, HI = Harvest index, CV = Coefficient of variation, ** = highly significant (P < 0.01), *= significant (P 0.05
Table 3. Mean square of genotypes for grain yield and other agronomic traits evaluated under no P application at Goldiya , kure and combined over location.
|
Goldiya
|
|
Kure
|
Combined
|
|||||||
|
Trait
|
Genotype
|
error
|
CV
|
Error
|
CV
|
L
|
G
|
G X L
|
Error
|
CV
|
|
|
df=14
|
df=28
|
|
df=28
|
|
d=1
|
df=14
|
df=14
|
df=58
|
|
|
DF
|
8.2**
|
1.4
|
2.8
|
1.4
|
|
21.5
|
20**
|
10
|
6.8
|
6.2
|
|
DM
|
10n
|
4.2
|
2.8
|
4.2
|
2.8
|
32
|
25**
|
10.9**
|
3.12
|
2.5
|
|
PLH
|
130n
|
63
|
17
|
63
|
17
|
2.9
|
306**
|
81.5ns
|
41.5
|
13.7
|
|
NB
|
14*
|
3.8
|
18.5
|
3.8
|
18
|
677
|
8.5**
|
7.83**
|
2.11
|
18.6
|
|
PPP
|
25**
|
4.7
|
12.6
|
4.6
|
12
|
291
|
48**
|
21.2**
|
3.36
|
11.9
|
|
PPP
|
2.3n
|
0.9
|
17.4
|
0.9
|
17
|
3.6
|
3.3**
|
2.4ns
|
0.76
|
15.8
|
|
HW
|
**
|
|
5.1
|
|
5
|
0.01
|
0.002
|
0.001
|
0.001
|
7.1
|
|
GY
|
0.03**
|
|
7.7
|
|
7.7
|
0.08
|
0.05**
|
0.02**
|
0.001
|
9.4
|
|
BY
|
0.28**
|
0.1
|
11.3
|
|
11
|
0.66
|
0.04**
|
0.18**
|
0.02
|
9.6
|
|
HI
|
38n
|
11
|
12.4
|
11
|
12
|
17.5
|
0.22n
|
64.1ns
|
11.6
|
12.8
|
** = highly significant (P < 0.01), *= significant (P 0.050) ns= non-significant
Table 4. Mean squares of genotypes for grain yield and agronomic characters evaluated under application of recommended rate of P at Goldiya, kure and combined over location
|
trait
|
Location
|
phosphors
|
Genotype
|
G X L
|
G X P
|
L X P
|
L X P X G
|
Error
|
CV
|
|
|
df=1
|
df=1
|
df=14
|
df=14
|
df=14
|
df=14
|
df=14
|
df=58
|
|
|
DF
|
36.4
|
0.05
|
33.9**
|
12.8
|
3.8
|
0.27
|
7.1
|
7.1
|
6
|
|
DM
|
72**
|
5.6ns
|
36.4**
|
12
|
2.3
|
0.2
|
4.8
|
5.6
|
3
|
|
PLH
|
646**
|
1085**
|
71.6**
|
121**
|
4.4n
|
5.3ns
|
46ns
|
34
|
13
|
|
NB
|
1333**
|
10ns
|
15.6*
|
12**
|
6.7**
|
0.3ns
|
65**
|
0.8
|
12
|
|
PPP
|
276**
|
123**
|
70**
|
32**
|
16**
|
56**
|
11**
|
2.4
|
10
|
|
PPP
|
22**
|
1.2ns
|
4.6**
|
1.9*
|
2.2**
|
4ns
|
1.8ns
|
0.6
|
14
|
|
HW
|
*
|
ns
|
**
|
**
|
**
|
ns
|
*
|
|
7
|
|
GY
|
0.1ns
|
4.3**
|
0.7**
|
0.2**
|
0.1**
|
1.1**
|
0.1**
|
0.1
|
10
|
|
BY
|
0.05**
|
0.1**
|
0.1**
|
0.2**
|
0.2**
|
0.3**
|
0.1**
|
0.01
|
10
|
|
HI
|
268*
|
574**
|
158**
|
73**
|
12**
|
109ns
|
129**
|
12
|
12
|
** = highly significant (P < 0.01), *= significant (P 0.050) ns= non-significant
Table 5. Combined analyses of variances for grain yield and other traits under P and no P condition for the 15 genotypes at Goldiya and kure.
Combined Mean Performance under No Phosphorus Application
The combined mean performance of haricot bean varieties evaluated across Goldiya and Kure locations under no phosphorus application revealed significant variation among genotypes for grain yield and yield-related traits (Table 6). This variation indicates differential ability of the varieties to perform under phosphorus-deficient conditions.
Under no phosphorus application, Sere 119, Nasir, and Sere 125 were identified as the superior varieties in terms of grain yield, producing 1.75, 1.65, and 1.60 t ha⁻¹, respectively (Table 6). The better performance of these varieties under low phosphorus conditions suggests their higher efficiency in phosphorus uptake and utilization, making them suitable for cultivation in phosphorus-deficient soils. In contrast, Birazil, KAT B9, and Melkadme recorded relatively lower grain yield values, indicating their poor adaptation to low soil phosphorus availability.
Varieties also exhibited significant differences in phenological traits. Days to 50% flowering ranged from 38.5 days (DRK) to 43.6 days (Deme and Awash Mitin), while days to 90% maturity varied between 70.0 days (Birazil) and 74.8 days (Awash Mitin) (Table 6). These differences suggest variability in growth duration among genotypes, which can influence adaptation to stress-prone environments.
Plant height showed wide variation, with Deme (56.2 cm), Awash Mitin (51.5 cm), and Dinkinesh (51.1 cm) recording taller plants, while KAT B9 (28.4 cm) and SAB 736 (31.3 cm) were relatively shorter (Table 6). Taller plant stature may have contributed to increased biomass production; however, higher biomass did not always correspond to higher grain yield, indicating differences in assimilate partitioning.
Yield components such as number of pods per plant (PPP) and number of seeds per pod (SPP) also varied significantly among varieties. Awash Mitin, Sere 119, and Sere 125 recorded higher pod numbers, which contributed to their relatively better grain yield performance (Table 6). Grain yield differences among varieties were closely associated with these yield components rather than with hundred seed weight, which showed limited contribution under phosphorus stress.
Biological yield and harvest index also differed significantly. Sere 119 recorded the highest biological yield (0.62 kg) with a relatively high harvest index (35.3%), reflecting its efficient conversion of biomass into grain under phosphorus-deficient conditions (Table 6). Similarly, Melkadme showed the highest harvest index (41.8%), though this did not translate into the highest grain yield due to lower total biomass production.
Overall, the results demonstrated that varieties such as Sere 119, Sere 125, and Nasir consistently performed better under no phosphorus application across locations (Table 6). These varieties can therefore be considered suitable candidates for cultivation in low-phosphorus soils and can serve as valuable genetic resources for breeding programs aimed at improving phosphorus use efficiency in haricot bean
|
Entry
|
DF
|
DM
|
PLH
|
NB
|
PPP
|
SPP
|
HSW
|
GY
|
BY
|
HI
|
|
Ser 125
|
41bac*
|
72bac
|
44.03cd
|
8.8bc
|
15.5c
|
6.3bac
|
0.02h
|
1.6bac
|
0.49b
|
30.3ed
|
|
Ser 119
|
42.8ba
|
73.6bac
|
47.5bc
|
9.2b
|
17.2b
|
6bc
|
0.03dc
|
1.75a
|
0.62a
|
35.3cb
|
|
Deme
|
43.6a
|
74.5ba
|
56.2a
|
8.2cd
|
13.3ed
|
5.8bdc
|
0.034ba
|
1.58c
|
0.42cd
|
27gh
|
|
DRK
|
38.5d
|
70.2ed
|
38.7fg
|
7gh
|
11.2gh
|
5.5dc
|
0.033bc
|
1.2gf
|
0.3f
|
27.8ef
|
|
Awash 2
|
43.3ba
|
73bac
|
51.1ba
|
8.3cd
|
14.8cd
|
6.5ba
|
0.02fg
|
1.4d
|
0.28gh
|
19.9j
|
|
KAT B9
|
40.8dc
|
71edc
|
28.4i
|
7.6dc
|
12.3fg
|
4f
|
0.03de
|
1.0h
|
0.31f
|
36.2b
|
|
Awashmitin
|
43.6ba
|
74.8a
|
51.5ba
|
10.2a
|
19.2a
|
7a
|
0.01i
|
1.38de
|
0.30gf
|
22.3j
|
|
SAB 736
|
41.2bc
|
71.2edc
|
31.3hi
|
5.8i
|
10.3h
|
5.2d
|
0.03de
|
1.2gf
|
0.35ef
|
29.4ed
|
|
Birazil
|
38.6dc
|
70e
|
35.5fg
|
6h
|
14.2cd
|
6.3bac
|
0.02g
|
0.8hi
|
0.24h
|
35cb
|
|
Dinkinesh
|
43.3ba
|
73.2bac
|
51.1ba
|
7.2fg
|
14.3de
|
6bdc
|
0.01i
|
1.3ed
|
0.4ed
|
31.3ed
|
|
SAB 632
|
41.6bac
|
71.5edc
|
32.6hg
|
7.5de
|
13.6ef
|
5.8bdc
|
0.035a
|
1.2ef
|
0.43cd
|
34.6cb
|
|
KAT B1
|
41.5bc
|
70.5ed
|
31.6hi
|
6.2h
|
10.2h
|
5.2ed
|
0.02f
|
0.9h
|
0.31f
|
33.4cb
|
|
Melkadme
|
40.5dc
|
72.3edc
|
40.1fe
|
7.8de
|
15c
|
5.6bdc
|
0.031dc
|
1.1gh
|
0.46cb
|
41.8a
|
|
Local
|
43.1ba
|
71.6edc
|
42.8cd
|
4.3j
|
10.5h
|
4.5ef
|
0.026f
|
1.4dc
|
0.33f
|
23.2hi
|
|
Nasir
|
43ba
|
73.1bdc
|
45.9bc
|
6.3h
|
13.8dc
|
5.6bdc
|
0.019i
|
1.65ba
|
0.4d
|
24.9gh
|
|
Mean
|
41.78
|
72
|
41
|
7.3
|
13
|
5.7
|
6.6
|
0.38
|
1.32
|
30
|
|
CV
|
6.5
|
3.7
|
12.7
|
9.4
|
9
|
13
|
0.027
|
11
|
10
|
11
|
|
LSD
|
3.2
|
3.2
|
6.2
|
0.8
|
1.4
|
0.8
|
|
0.2
|
0.05
|
4.03
|
*Values followed by the same letters within a column are not significantly different at p ≤ 0.05 according to Duncan’s Multiple Range Test (DMRT).
Table 6. Combined mean performance for yield and yield components of haricot bean under no P application across Goldiya and kure locations
Combined over location mean performance of haricot bean varieties under recommended rate of P application
The combined mean performance of haricot bean Genotypes across locations under the application of the recommended rate of phosphorus is presented in Table 7. The results of the combined analysis indicated that Sere 125 and Sere 119 were the superior varieties in terms of grain yield, each producing 0.59 kg under the recommended phosphorus application. In addition, Dikinesh and Sere 119 recorded the highest biological yield and number of seeds per pod, respectively, suggesting that these varieties efficiently converted applied phosphorus into biomass production and reproductive development. The superior performance of these genotypes under phosphorus application highlights their potential for cultivation in areas where phosphorus fertilizer is available and supports their suitability for improving haricot bean productivity under enhanced soil fertility conditions (Table 7).
|
Entry
|
DF
|
DM
|
PLH
|
NB
|
PPP
|
SPP
|
HSW
|
GY
|
BY
|
HI
|
|
Ser 125
|
42.66b*
|
72.8bac
|
52ba
|
9ba
|
20.2a
|
5.6bac
|
0.02ef
|
0.59a
|
1.76dc
|
33.5a
|
|
Ser 119
|
42.8ba
|
73.3ba
|
49.9bc
|
7.3bdc
|
19.5a
|
5.8bac
|
0.02ef
|
0.59a
|
1.9ba
|
30.69ba
|
|
Deme
|
42.2ba
|
74.5a
|
50.8bac
|
6.8dce
|
13.1g
|
6bac
|
0.03ba
|
0.42ed
|
1.7ed
|
24.8cd
|
|
DRK
|
40.5bc
|
69f
|
44.1de
|
9ba
|
14.1fg
|
5.5ed
|
0.04a
|
0.45cbd
|
1.5fg
|
31.2a
|
|
Awash 2
|
44.6a
|
71.8dc
|
56.2a
|
8bac
|
18.3a
|
5.8bac
|
0.01f
|
0.35f
|
1.5fg
|
23.6ed
|
|
KAT B9
|
40.3bc
|
70.2ef
|
39.6ef
|
9ba
|
15.5cd
|
5.5dc
|
0.03ba
|
0.43cd
|
1.56ef
|
27.7bc
|
|
Awashmitin
|
42.5ba
|
74.5a
|
55ba
|
9ba
|
16.5cd
|
6.6a
|
0.01f
|
0.42ed
|
1.78dc
|
23.4e
|
|
SAB 736
|
40.5bc
|
70ef
|
38.8f
|
9.3a
|
15.3cd
|
6bac
|
0.02ef
|
0.27g
|
1.08h
|
25.8cd
|
|
Birazil
|
37.8c
|
68.8f
|
36.8f
|
6e
|
14efg
|
4.5ed
|
0.02ef
|
0.28g
|
1.23h
|
23.3e
|
|
Dinkinesh
|
44.8a
|
74.3a
|
56.5a
|
6.8cde
|
15efg
|
6bac
|
o.o3ba
|
0.48b
|
2.0a
|
24.05cd
|
|
SAB 632
|
42.5ba
|
70.3ef
|
37.4f
|
7.8bac
|
13.3fg
|
5dc
|
0.03ba
|
0.45cbd
|
1.66ef
|
27.4cd
|
|
KAT B1
|
40.6bc
|
68.3f
|
37.8f
|
5.8e
|
8.6h
|
3.6e
|
0.03ba
|
0.38ed
|
1.4g
|
27.8bc
|
|
Melkadme
|
40bc
|
72.3dc
|
46.9dc
|
8.6ba
|
17.3bc
|
6.2ba
|
0.03
|
0.36f
|
1.56fg
|
23.5ed
|
|
Local
|
42.6ba
|
73bac
|
51.2bac
|
6e
|
15efg
|
5dc
|
0.02
|
0.45bd
|
1.76dc
|
26.07cd
|
|
Nasir
|
42.6ba
|
73bac
|
48.6bdc
|
8.3bac
|
14.3efg
|
5.6bac
|
0.02
|
0.48b
|
1.92bac
|
25.4ecd
|
|
Mean
|
41.8
|
71
|
14.9
|
7.8
|
15
|
5.5
|
0.03
|
0.43
|
1.6
|
26
|
|
CV
|
6.5
|
3
|
46.8
|
22
|
17
|
17.6
|
14
|
17
|
14
|
17
|
|
LSD
|
3.1
|
2.5
|
8.07
|
2.1
|
3
|
1.12
|
0.05
|
0.08
|
0.27
|
5.4
|
* Values followed by the same letters within a column are not significantly different at p ≤ 0.05 according to Duncan’s Multiple Range Test (DMRT).
Table 7. Combined mean performances of yield and yield components of haricot bean varieties under application of recommended rate of phosphorus across location.
Phosphorus Yield Efficiency
Following the methodology of Ozturk et al. (2005), varieties were classified as phosphorus yield (PYE) efficient if their PYE values were equal to or above the mean, and as inefficient if their PYE values fell below the mean. Based on this criterion, 46% of the varieties at Goldiya and 73% of the varieties at Kure were identified as PYE efficient. In the combined analysis across locations, 60% of the varieties were classified as PYE efficient (Table 8).
Correlation
Relationship between Agronomic Characters
The Genotypic correlation patterns among traits under both no phosphorus (no P) and phosphorus (P) fertilizer application are presented in Table 9. Some traits showed similar correlation patterns under both P levels, while others differed. For instance, grain yield exhibited a strong positive correlation with the number of pods per plant and biomass yield under P application, and it did not show any negative correlations with other traits. Under no P application, grain yield had a strong positive correlation with the number of pods per plant, and under P application, it showed a strong correlation with the number of days to grain filling. Conversely, grain yield was not correlated with the number of seeds per pod at either P level, with the number of days to grain filling under no P application, or with the number of pods per plant under P application. However, it was positively correlated with thousand-seed weight under both P levels (Table 9).
|
|
Goldiya
|
Kure
|
Combined
|
||||||
|
Variety
|
GY WP
|
GY WOP
|
PYE
|
GYWP
|
GY WOP
|
PYE
|
GYWP
|
GYWOP
|
PYE
|
|
Ser 125
|
0.63
|
0.48
|
4.79
|
0.65
|
0.49
|
1.66
|
0.59
|
1.6
|
3.22
|
|
Ser 119
|
0.5
|
0.52
|
0.73
|
0.68
|
0.71
|
-0.73
|
0.59
|
1.75
|
-0.73
|
|
Deme
|
0.54
|
0.48
|
1.77
|
0.31
|
0.35
|
-1.35
|
0.42
|
1.58
|
0.21
|
|
DRK
|
0.52
|
0.33
|
5.73
|
0.39
|
0.33
|
2.1
|
0.45
|
1.2
|
3.91
|
|
Awash 2
|
0.4
|
0.28
|
3.65
|
0.3
|
0.27
|
0.73
|
0.35
|
1.4
|
2.2
|
|
KAT B9
|
0.56
|
0.33
|
7.2
|
0.3
|
0.28
|
0.81
|
0.43
|
1.0
|
4
|
|
Awashmitin
|
0.43
|
0.33
|
2.94
|
0.4
|
0.27
|
3.96
|
0.42
|
1.38
|
3.44
|
|
SAB 736
|
0.23
|
0.47
|
-7.5
|
0.3
|
0.23
|
2.81
|
0.27
|
1.2
|
-2.34
|
|
Birazil
|
0.27
|
0.25
|
0.52
|
0.3
|
0.23
|
2.29
|
0.28
|
0.8
|
1.41
|
|
Dinkinesh
|
0.53
|
0.38
|
4.58
|
0.43
|
0.42
|
0.3
|
0.48
|
1.3
|
2.45
|
|
SAB 632
|
0.46
|
0.44
|
0.72
|
0.45
|
0.42
|
0.94
|
0.45
|
1.2
|
0.83
|
|
KAT B1
|
0.43
|
0.37
|
1.8
|
0.32
|
0.24
|
2.5
|
0.38
|
0.9
|
2.18
|
|
Melkadme
|
0.43
|
0.37
|
2.08
|
0.28
|
0.55
|
-2.44
|
0.36
|
1.1
|
-3.2
|
|
Local
|
0.51
|
0.31
|
6.25
|
0.39
|
0.36
|
0.94
|
0.45
|
1.4
|
3.59
|
|
Nasir
|
0.45
|
0.35
|
3.02
|
0.52
|
0.46
|
1.98
|
0.48
|
1.65
|
2.5
|
|
Mean
|
0.42
|
0.38
|
2.45
|
0.4
|
0.4
|
0.64
|
0.43
|
0.38
|
1.58
|
|
CV
|
7.7
|
5.33
|
15.2
|
11.2
|
15.4
|
18
|
17
|
11
|
14
|
|
LSD
|
0.1
|
0.04
|
2.32
|
0.07
|
0.1
|
2.31
|
0.08
|
0.2
|
2.32
|
WP=with P fertilizer application; WOP=without P fertilizer application; PYE =Phosphorus yield efficiency, CV= Coefficient of variation; LSD= Least significant differences
Table 8. Phosphorus yield efficiency of 15 released haricot bean varieties grown under P and no P fertilizer application at Goldiya and kure
|
|
DF
|
DM
|
PLH
|
NB
|
PPP
|
SPP
|
HSW
|
GY
|
BY
|
HI
|
|
DF1
|
1
|
0.41**
|
0.38**
|
0.18
|
0.26
|
0.23
|
-0.22
|
0.31
|
0.41**
|
-0.02
|
|
DF0
|
1
|
0.11
|
0.18
|
0.45
|
0.18
|
0.13
|
-0.09
|
0.22
|
0.3
|
-0.05
|
|
DM1
|
|
1
|
0.47**
|
0.22
|
0.32
|
0.23
|
-0.22
|
0.31
|
0.41**
|
-0.02
|
|
DM0
|
|
1
|
0.26
|
0.29
|
0.25
|
0.24
|
-0.09
|
0.166
|
0.26
|
-0.07
|
|
PLH1
|
|
|
1
|
0.002
|
0.3
|
0.44**
|
-0.33
|
0.22
|
0.43**
|
-0.13
|
|
PLH0
|
|
|
1
|
-0.13
|
0.21
|
0.21
|
-0.3
|
0.18
|
0.55
|
-0.37
|
|
NP1
|
|
|
|
1
|
0.56**
|
0.3
|
-0.02
|
0.27
|
0.2
|
0.12
|
|
NB0
|
|
|
|
1
|
0.52**
|
0.55**
|
-0.07
|
0.1
|
0.01
|
0.08
|
|
PPP1
|
|
|
|
|
1
|
0.43**
|
-0.15
|
0.39**
|
0.34**
|
0.13
|
|
PPP0
|
|
|
|
|
1
|
0.52**
|
-0.25
|
0.29
|
0.25
|
0.02
|
|
SPP1
|
|
|
|
|
|
1
|
-0.14
|
0.13
|
0.38
|
-0.24
|
|
SPP0
|
|
|
|
|
|
1
|
-0.25
|
0.09
|
0.06
|
0.006
|
|
HSW1
|
|
|
|
|
|
|
1
|
0.01
|
-0.15
|
0.2
|
|
HSW0
|
|
|
|
|
|
|
1
|
0.15
|
-0.11
|
0.17
|
|
GY1
|
|
|
|
|
|
|
|
1
|
0.68**
|
0.62**
|
|
GY0
|
|
|
|
|
|
|
|
1
|
0.54**
|
0.36
|
|
BY1
|
|
|
|
|
|
|
|
|
1
|
-0.12
|
|
BY0
|
|
|
|
|
|
|
|
|
1
|
-0.07
|
|
HI1
|
|
|
|
|
|
|
|
|
|
1
|
|
HI0
|
|
|
|
|
|
|
|
|
|
1
|
Subscript "0" indicates that the trait is under no P application while "1" indicates the trait is under P fertilizer application.; * and ** indicate significant correlation among the traits at 5 and 1% significance levels while ns indicates none significant correlation
Table 9. Correlation coefficients (r) between agronomic traits in 15 faba bean genotypes in the absence and presence of P fertilizer in Ethiopia
Analysis of variance
The significant genotypic differences observed for most agronomic and yield-related traits under both phosphorus regimes indicate substantial genetic variability among the tested haricot bean genotypes. Such variability is essential for the effective selection and improvement of phosphorus-efficient genotypes, as also reported by [14,19]. The lack of significant genotypic variation for phenological traits such as days to 50% flowering and days to 90% maturity under phosphorus-deficient conditions suggests that these traits are relatively stable and less influenced by phosphorus availability. Similar findings were reported by [20 -21] common bean is largely under genetic control and less responsive to soil nutrient variation. In contrast, yield and biomass-related traits showed greater responsiveness to phosphorus availability, as evidenced by significant genotype effects and interactions. This confirms that phosphorus plays a crucial role in enhancing biomass accumulation and yield formation, consistent with the findings of [22], who emphasized the importance of phosphorus in root development and carbon partitioning. The highly significant genotype × location interactions for most traits under both phosphorus regimes indicate differential genotype performance across environments. This underscores the need for multi-location testing to identify genotypes with stable performance and wide adaptation, as suggested by [ 23 -24]. The significant genotype × phosphorus interactions observed at both Goldiya and Kure further demonstrate variability in phosphorus use efficiency among genotypes. This suggests that certain genotypes possess superior ability to utilize applied or native soil phosphorus, making them promising candidates for low-input production systems. Finally, the significant three-way interaction (genotype × location × phosphorus) for most traits indicates that genotype response to phosphorus application is strongly influenced by environmental conditions. This highlights the combined influence of genetic factors, nutrient management, and location-specific conditions on haricot bean performance
Effect of Phosphorus on Agronomic and Phenological Characters
Plant Height
Phosphorus application significantly influenced plant height of haricot bean varieties at both experimental locations (Goldiya and Kure), indicating the important role of phosphorus in vegetative growth . The maximum plant height values of 69.2 cm under no phosphorus application and 61.0 cm under phosphorus application were recorded at Kure, demonstrating considerable variation among genotypes and environments. Overall, phosphorus application enhanced plant height across locations, suggesting improved root development, nutrient uptake, and cell division. These findings are consistent with the reports of [25], who observed increased plant growth in legumes with phosphorus fertilization. Phosphorus is known to stimulate early root growth and energy transfer processes, which ultimately enhance vegetative development and plant stature [26-27]. The observed variation between locations may be attributed to differences in inherent soil fertility, moisture availability, and genotype–environment interaction.
Effect of Phosphorus on Yield and Yield Components of Haricot Bean Varieties
Number of Pods per Plant
The number of pods per plant, a key yield component, was significantly increased by phosphorus application at both locations . Maximum pod numbers were consistently recorded under phosphorus-applied conditions for most varieties, indicating improved reproductive performance. This increase in pod number may be attributed to enhanced photosynthetic efficiency and better assimilate partitioning resulting from adequate phosphorus availability.
These results agree with [28], who reported a significant increase in pod number of haricot bean with increasing phosphorus rates. Similar findings were also reported by [29] in soybean, where phosphorus application resulted in increased pod formation due to improved flowering and reduced flower and pod abortion. The strong response of pod number to phosphorus highlights its importance as a major determinant of grain yield under phosphorus-limited conditions.
Grain Yield
Grain yield responded positively to phosphorus application, although the magnitude of response varied among varieties and locations. At Kure, the maximum grain yield values of 0.71 kg under no phosphorus application and 0.68 kg under phosphorus application were recorded for Sere 125, indicating its superior adaptation to both low and adequate phosphorus conditions. At Goldiya, phosphorus application increased grain yield across all varieties, reflecting a clear yield response to phosphorus fertilizer.
These findings are in agreement with [30], who reported increased bean yield with increasing phosphorus rates, [31], who observed a significant and linear increase in haricot bean grain yield in response to phosphorus fertilization. The yield improvement associated with phosphorus application is largely due to its role in energy transfer, root proliferation, nodulation, and efficient utilization of photosynthates for grain formation [22].
Phosphorus Yield Efficiency
Phosphorus yield efficiency (PYE) varied markedly among haricot bean varieties and locations , reflecting differences in the ability of genotypes to acquire and utilize applied phosphorus. At Goldiya, the genotypes Local, Sere 125, and Dinkinesh exhibited the highest phosphorus yield efficiency, while SAB 736, Sere 119, and KAT B1 showed the lowest PYE values. In contrast, at Kure, the highest phosphorus yield efficiency was recorded for Awash Mitin, SAB 736, and Birazil, whereas Melkadme, Deme, and Deme exhibited the lowest PYE. When data were combined across locations, KAT B9, Awash Mitin, and DRK were identified as the most phosphorus-yield-efficient genotypes. Across all varieties, the mean PYE at Kure was lower than that of Goldiya, indicating a reduced response to applied phosphorus at Kure. This limited response may be attributed to relatively adequate soil phosphorus levels at Kure, as indicated by pre-sowing soil analysis. Similar observations have been reported by [32- 33], who noted that phosphorus-efficient genotypes often show reduced yield response to fertilizer application when grown on soils with sufficient available phosphorus. This suggests that phosphorus-efficient varieties are particularly valuable for low-input production systems and phosphorus-deficient soils, where fertilizer accessibility is limited
The present study demonstrated considerable genetic variability among haricot bean varieties in terms of phosphorus yield efficiency, grain yield, and associated agronomic traits under both phosphorus-applied and phosphorus-deficient environments. The superior performance of Sere 119, Sere 125, Nasir, and Dinknesh across contrasting phosphorus conditions highlights their adaptability and efficiency in utilizing limited soil phosphorus. Furthermore, the identification of DRK, SAB 736, and Sere 125 as phosphorus-efficient varieties confirms the potential of exploiting varietal differences to improve productivity on phosphorus-deficient soils. Overall, the results indicate that the use of phosphorus-efficient haricot bean varieties can serve as a sustainable and cost-effective approach to enhance crop productivity, particularly for smallholder farmers cultivating crops on low-fertility soils in Ethiopia.
Based on the findings of this study, the following recommendations are proposed:
1. Sere 119, Sere 125, Nasir, and Dinknesh should be promoted for cultivation in phosphorus-deficient areas due to their superior grain yield and phosphorus use efficiency.
2. Farmers with limited access to phosphorus fertilizers can adopt phosphorus-efficient varieties as a practical strategy to improve haricot bean productivity.
3. Plant breeding programs should prioritize phosphorus yield efficiency as a key selection criterion for developing varieties adapted to low-phosphorus soils.
4. Further research should be conducted to investigate the physiological and genetic mechanisms responsible for enhanced phosphorus uptake and utilization in haricot bean varieties.
5. Multi-location and multi-season studies are recommended to validate the stability and performance of identified phosphorus-efficient varieties under diverse agroecological conditions.
The authors would like to express their sincere gratitude to the Bena Tsemy and Bako Dawula District Farm Experts for their valuable technical support and facilitation during the field implementation of the study. Special thanks are extended to the Melkassa and Debre Zeit Agricultural Research Centers for providing the haricot bean seed materials used in the experiment. The authors are also deeply grateful to the farmers of Kure and Goldia kebeles for generously allowing the use of their farmland and for their cooperation throughout the study period. Furthermore, heartfelt appreciation is extended to Jinka University for financial support and institutional assistance that made this research possible.