Article In Press : Article / Volume 5, Issue 1

Phosphorus Use Efficiency and Yield Performance of Haricot Bean (Phaseolus vulgaris L.) in South Omo Zone, Southern regional state, Ethiopia

Daniel Abebe1Addishiwot Wondmu1Hafize Adem1Muluhabt Birhane1*

1Department of Plant science, Jinka University, college of Agriculture and Natural Resource, Jinka, South Ethiopia

Correspondng Author:

Muluhabt Birhane, Department of Plant science, Jinka University, college of Agriculture and Natural Resource, Jinka, South Ethiopia

Citation:

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

Copyright:

© 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.

  • Received Date: 20-01-2026   
  • Accepted Date: 09-02-2026   
  • Published Date: 16-02-2026
Abstract Keywords:

Haricot bean, Phosphorus, Yield efficiency

Abstract

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.

Introduction

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.

Materials and Methods

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).

Result

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

Discussion

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

Conculsion

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.

Recommendation

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.

Acknowledgements

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.

References

  1. Mitiku Haile (1990), “Biological nitrogen fixation by haricot bean in Ethiopia”, Research on Haricot Bean in Ethiopia: an Assessment of Status, Progress Priorities and Strategies, Proceedings of a National Workshop held in Addis Ababa, 1-3 October 1990, 114 p.
  2. Tenaw Workayehu and Yeshi Chiche (1990), “Importance, production system and problems of haricot bean in the southern zone of Ethiopia”, Research on Haricot Bean in Ethiopia: an Assessment of Status, Progress, Priorities and Strategies, Proceedings of a National Workshop held in Addis Ababa, 1-3 October 1990, 114 p
  3. Central Statistical Agency (CSA). (2017). Agricultural Sample Survey 2016/2017 (Volume I): Report on Area and Production of Major Crops. Addis Ababa, Ethiopia
  4. Asfaw, Asrat, Conny JM Almekinders, Matthew W. Blair, and Paul C. Struik. "Participatory approach in common bean (Phaseolus vulgaris L.) breeding for drought tolerance for southern Ethiopia." Plant breeding 131, no. 1 (2012): 125-134.
  5. FAO (Food and Agriculture Organization). (1984). Fertilizer and Plant Nutrition Guide. FAO Fertilizer and Plant Nutrition Bulletin No. 9. Rome, Italy.
  6. Tamirat, B. (1992). Phosphorus status of Ethiopian soils. Soil Science Bulletin, 3, 45–52.
  7. Beem, P. C., & Smith, M. E. (1997).Economic constraints to fertilizer use by smallholder farmers in sub-Saharan Africa. Fertilizer Research, 48(2), 121–128.
  8. Quiñones, Marco A., Norman E. Borlaug, and Christopher R. Dowswell. "A fertilizer‐based green revolution for Africa." Replenishing soil fertility in Africa 51 (1997): 81-95.
  9. Amare, G., Tarekegn, B., & Mekonnen, H. (2005). Response of haricot bean (Phaseolus vulgaris L.) to phosphorus fertilization under Ethiopian conditions. Ethiopian Journal of Agricultural Sciences, 18(1), 45–56.
  10. Fisseha, A., & Yayis, R. (2015). Effect of phosphorus fertilizer rates on yield and yield components of haricot bean (Phaseolus vulgaris L.) in southern Ethiopia. African Journal of Agricultural Research.
  11. Rao, Idupulapati M., Dennis K. Friesen, and Mitsuru Osaki. "Plant adaptation to phosphorus-limited tropical soils." Handbook of plant and crop stress 2 (1999): 61-95.
  12. Garcia, A., G. Hernandez, A. Nuviola, N. Mendez, G. Herrero, and J. J. Drevon. "Evaluating the response of selected common bean genotypes to the application of phosphate rock products in acid soils of Cuba." Proceedings Series (2006): 147.
  13. Lopez, M., N. Alfonzo, M. Espana, and E. Cabrera-Bisbal. "Phosphorus uptake efficiency of sorghum and rice genotypes as affected by phosphate sources of varying solubility." Proceedings Series (2006): 161.
  14. Fageria, Nand Kumar, Virupax C. Baligar, and Charles Allan Jones. Growth and mineral nutrition of field crops. CRC press, 2010.
  15. Oladiran, Olaleye, Fagbola Olajire, Abaidoo C. Robert, and Ikeorah Nnenna. "Phosphorus response efficiency in cowpea genotypes." Journal of Agricultural Science 4, no. 1 (2012): 81.
  16. Mesfin Abebe. (2007). Nature and Management of Acid Soils in Ethiopia. Addis Abeba, Ethiopia.
  17. SAS Institute. (2004). SAS/STAT® 9.1 User’s Guide. SAS Institute Inc., Cary, NC, USA.
  18. Gomez, Kwanchai A., and Arturo A. Gomez. Statistical procedures for agricultural research. John wiley & sons, 1984.
  19. Singh, Shree P. "Broadening the genetic base of common bean cultivars: a review." Crop science 41, no. 6 (2001): 1659-1675.
  20. Acosta-Gallegos, Jeorge A., and Jeffrey W. White. "Phenological plasticity as an adaptation by common bean to rainfed environments." Crop Science 35, no. 1 (1995): 199-204.
  21. Beebe, Stephen E., Idupulapati M. Rao, Matthew W. Blair, and Jorge A. Acosta-Gallegos. "Phenotyping common beans for adaptation to drought." Frontiers in physiology 4 (2013): 35.
  22. Lynch, Jonathan P. "Root phenes for enhanced soil exploration and phosphorus acquisition: tools for future crops." Plant physiology 156, no. 3 (2011): 1041-1049.
  23. Annicchiarico, Paolo. "Genotype x environment interactions: challenges and opportunities for plant breeding and cultivar recommendations." (2002).
  24. Yan, Weikai, and Manjit S. Kang. GGE biplot analysis: A graphical tool for breeders, geneticists, and agronomists. CRC press, 2002.
  25. Kisinyo, P. O., S. O. Gudu, C. O. Othieno, J. R. Okalebo, P. A. Opala, J. K. Maghanga, J. J. Agalo et al. "Effects of lime, phosphorus and rhizobia on Sesbania sesban performance in a Western Kenyan acid soil." (2012).
  26. Hinsinger, Philippe. "Bioavailability of soil inorganic P in the rhizosphere as affected by root-induced chemical changes: a review." Plant and soil 237, no. 2 (2001): 173-195.
  27. Fageria, N. K., and V. C. Baligar. "Ameliorating soil acidity of tropical Oxisols by liming for sustainable crop production." Advances in agronomy 99 (2008): 345-399.
  28. Girma Abebe. (2009).Effect of phosphorus fertilization on yield and yield components of haricot bean (Phaseolus vulgaris L.) in southern Ethiopia. African Journal of Agricultural Research, 4(6), 512–518.
  29. Malik, M. A., Saleem, M. F., Cheema, M. A., & Ahmad, S. (2006). Effect of phosphorus application on growth, yield and quality of soybean (Glycine max L.). Pakistan Journal of Agricultural Sciences, 43(1–2), 21–26.
  30. Shubhashree, K. S. (2007).Response of field bean (Lablab purpureus L.) to phosphorus fertilization under rainfed conditions. Karnataka Journal of Agricultural Sciences, 20(2), 289–292.
  31. Veeresh. (2003). Response of field bean (Lablab purpureus L.) to phosphorus levels and biofertilizers. M.Sc. Thesis, University of Agricultural Sciences, Dharwad, India.
  32. Beebe, S. E., Rao, I. M., Blair, M. W., & Acosta-Gallegos, J. A. (2008). Genetic improvement of common bean (Phaseolus vulgaris L.) for drought tolerance. Crop Science, 48(2), 545–556.
  33. Fenta, B. A., Abebe, G., & Tesfaye, K. (2020).Phosphorus use efficiency and yield performance of common bean (Phaseolus vulgaris L.) genotypes under variable soil fertility conditions. Agriculture & Food Security.44

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