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Journal of Natural Sciences Research www.iiste.org
ISSN 2224-3186 (Paper) ISSN 2225-0921 (Online)
Vol.4, No.15, 2014
38
Screening of Cowpea Genotypes for Their Reactions to Alectra
Vogelii (Benth.) in the Southern Guinea Savanna of Nigeria
C. Z itta1
., E.I Magani2*
and R.I.Ahom2
1.Department of Agricultural Technology,Plateau State College of Agriculture,Garkawa.,Nigeria.
2.Department of Crop and Environmental Protection, University of Agriculture, Makurdi,Nigeria.
Corresponding Authors’ email address: finangwai@gmail.com
Abstract
Field experiments were conducted at Garkawa, Plateau State, Nigeria (08o
52’N; 09o
34’E) during the rainy
seasons of 2011 and 2012 to evaluate the reactions of cowpea genotypes to Alectrra infestations. The treatments
consisted of eleven cowpea genotypes laid out in a Randomized Complete Block Design with three replications.
Five varieties (IT97K-499-35, IT98K573-1-1, IT03K-338-1, IT98K-205-8 and UAM 11D, 24-55-3) were
confirmed resistant to Alectra in the study area. The Gazum local variety, Banjar, Borno brown, and TVX3236
were found to be very susceptible to Alectra; while IT84S-246-4 and IT98KD-391 recorded moderate infestation
of Alectra. The combined year effect on days to Alectra emergence showed that Gazum local, TVX3236, Banjar
and Borno brown supported significantly the earliest emergence of Alectra; while the genotypes IT89KD-373-1-
1 and IT84S-246-4 delayed the emergence of Alectra by 6 and 4 days , respectively. Gazum local recorded the
highest number of crop plants infested with Alectra. Similarly, Alectra shoot counts were highest in Gazum local
and TVX 3236. Apart from IT84S-246-4 in 2011, pod number, pod weight and 1000 seed weights were
significantly higher in the Alectra free genotypes against lower values in the Alectra infested genotypes. Also,
the Alectra infested genotypes recorded significantly more crop damaged syndrome score compared with the
resistant genotypes which were healthier. It may be concluded from this investigation that IT97K-499-35,
IT98K-573-1-1, IT03K-338-1, IT98K-205-8 and UAM 11D-24-55-3 that were found to be resistant to Alectra
infestation which gave relatively higher grain yields are recommended for cultivation by farmers in the study
area.
Keywords: key words, Cowpea genotypes, Alectra vogelii, Resistance/ Tolerance, Guinea Savannah.
1. Introduction
Cowpea, Vigna unguiculata (L) Walp is one of the most important and widely grown legumes in the savanna and
sahel regions of Africa (Steele, 1976). It plays a critical role in the lives of millions of people in Africa and other
parts of the developing world where it is a major source of dietary protein that nutritionally compliments staple
low protein cereal and tuber crops. It is also a valuable and dependable commodity that provides income for
farmers and traders (Singh, 2002; Longyintou et al, 2003). Another important feature of cowpea is that it fixes
atmospheric nitrogen through symbiosis with nodule bacteria (Bradyrhizobium spp), thereby increasing N levels
in the soil for the benefit of the following cereal crop grown in a rotation. Similarly, the above ground parts of
cowpea, excepting pods, are usually harvested as fodder for Livestock feed (Bressani, 1985).
Alectra vogelii (Benth.), is a hemiparasite parasitic plant belonging to the family Scrophulariaceae and is a
parasitic plant of a wide range of legumes in the West, East and South Africa (Bagnall-Oakeley et al., 1991).
Aggarwal (1985) and Emechebe et al. (1991) have observed that Alectra appears to be more destructive in the
Northern Guinea and Sudan agro-ecologies, because of the marginal nutrient status of the soils and unreliable
rainfall in these zones. Alectra and related parasitic weeds including Striga are presently among the most
important biological constraints to food production in Africa. Although crop attack by Alectra has less severe
impact than that of Striga, total yield loss is not uncommon in fields that are heavily infested by these parasites
when susceptible varieties are planted (Emechebe et al., 1983). Significant crop yield losses caused by Alectra
have been reported in legumes including cowpea, broad and velvet beans, groundnuts, bambara groundnut and
grams (Riches, 1987; Lagoke et al., 1988). Several cultivated lands have been abandoned due to high
infestations with the noxious parasitic weeds (Lagoke et al., 1988). Fields infested by these parasitic weeds are
difficult to clean, because of the considerable amount of seeds produced and the dormancy mechanisms, which
enable them to survive in the soil for several years (Emechebe et al., 1983). Alctra vogelii has been reported to
be the cause of considerable damage to cowpea, with substantial yield reductions especially in Africa (Emechbe
et al, 1991; Lagoke et al, 1994). Yield losses associated with Alectra vogelii have been reported to range from
between 83 and 100% (Cardwell and Lane, 1991, Singh et al, 1993). Although considerable work has been done
on various control methods for parasitic weeds, Alectra control in cowpea has received relatively little attention.
It is however apparent that no single method can adequately control this problem and a number of methods
would need to be integrated for effective control. Dugje et al, 2006, carried out a survey of the level of Alectra
vogelii infestation on farmers’ field in North Eastern Nigeria and reported that more than 81% of the fields
grown to cowpea in this region were infested with Alectra vogelii resulting in serious yield losses.
Journal of Natural Sciences Research www.iiste.org
ISSN 2224-3186 (Paper) ISSN 2225-0921 (Online)
Vol.4, No.15, 2014
39
The control of Alectra vogelii is difficult mainly because of the unique adaptation of the parasite to its
environment and the complexity of the host-parasite relationship (Botanga and Timko, 2005). General control
measures for Alectra species include trap crops, hand pulling, cultivation of resistant cultivars and application of
herbicides (Ogborn, 1987; Parkinson et al, 1997, Sand et al, 1990; Magani and Lagoke, 2009). Among these
control measures, no one method has been found to be effective for the control of parasitic weeds. However the
use of resistant cultivars seemed to be a more viable option. This study was therefore carried out to assess the
reaction of eleven cowpea genotypes to Alectra vogelii infestations with a view of identifying resistant varieties
that could be recommended to farmers for optimum cowpea production in the study area.
2. Materials and Methods
Field trials were conducted in 2011 and 2012 at the Teaching and Research Farm of the Department of
Agricultural Technology, Plateau State College of Agriculture Garkawa (08o
52’N; 09o
24’E) in the Southern
Guinea Savanna where sandy loam is the dominant soil type. The site used for the trials was naturally and
heavily infested with Alectra.The land was ploughed, harrowed and ridged at 0.75m apart. Ten cowpea
genotypes were obtained from UAM cowpea breeding programme funded by Kirkhouse Trust. One local
genotype (Land race) known to be susceptible to Alectra vogelii (Gazum local) was used as a check.
Three cowpea seeds were planted per hole on 28th
of August and 26th
August 2011 and 2012, respectively.
Thinning was done at two weeks after planting (WAP) to give two plants per stand. Weed control was done
manually at 3 and 4 WAP. Thereafter hand pulling was employed to avoid damage to the Alectra plants.
Fertilizer was applied by band method at 2 WAP at the rate of 100kg ha-1
of NPK (15:15:15) compound fertilizer
to give the equivalent of 15kg a.i. ha-1
N, P2O5 and K2O, respectively. Insects were controlled with chemical
insecticides by spraying at 5% flower initiation and at 2 weeks intervals thereafter with BEST Action
Cypermethrin plus Dimethoate at the rate of 1.5 litres/ha, using a Knapsack sprayer. The experiments were laid
out in a Randomized Complete Block Design with three replications. Each plot consisted of four rows, 4m long
at spacing of 0.20m intra-row and 0.75m inter row.
3. Results and Discussion
Reactions of cowpea genotypes to Alectra parameters viz; days to Alectra emergence, number of plants infected,
Alectra shoot counts crop damage score, and yield and yield components such as number and weight of pods,
weight of 1000 grains and cowpea grain yield are presented in Tables 1 to 8. The result showed that five
genotypes: IT97K-499-35, IT98K-573-1-1, IT03K-338-1, IT98K-205-8 and UAM 11D-24-55-3 were
consistently free of Alectra infestations (Tables 1- 3). The combined year effect on days to Alectra emergence
showed that Gazum local, TVX3236, Banjar and Borno brown supported significantly the earliest emergence of
Alectra; while the genotypes IT89KD-373-1-1 and IT84S-246-4 delayed the emergence of Alectra by 6 and 4
days , respectively. The non-emergence of Alectra in the five genotypes mentioned above confirms the
characterization of these genotypes as resistant to Aletra infestations (Omoigui et al, 2011). This might be the
reason for the relatively high yields recorded by these genotypes when compared with reduced yields in the
susceptible genotypes. Early emergence of Alectra in Gazum local check and other susceptible genotypes
confirms that these genotypes are suitable hosts for this parasite (Magani , 1994).
Table 1.Screening of cowpea genotypes on number of days to first Alectra emergence at Garkawa, 2011 and
2012 cropping seasons
Cowpea
Genotype
Days to Alectra
emergence
2011 2012 Combined
Banjar 42.67d 43.33c 43.00c
IT84S-246-4 46.33b 47.67b 47.00b
IT97K-499-35 0.00e 0.00d 0.00d
IT98K-573-1-1 0.00e 0.00d 0.00d
IT89KD-391 49.67a 50.00a 49.83a
IT03K-338-1 0.00e 0.00d 0.00d
IT98K-205-8 0.00e 0.00d 0.00d
Borno brown 44.33c 43.00c 43.67c
TVX3236 43.33cd 43.33c 43.33c
UAM11D-24-55-3 0.00e 0.00d 0.00d
Gazum local 43.00d 43.33c 43.17c
SE ± 0.40 0.37 0.35
Means in a column followed by the same letter(s) are not significantly different at 5% level of probability
(DMRT)
There were significant differences among the cowpea genotypes in number of crops infested with Alectra.
Journal of Natural Sciences Research www.iiste.org
ISSN 2224-3186 (Paper) ISSN 2225-0921 (Online)
Vol.4, No.15, 2014
40
Gazum local and TVX 3236 recorded significantly higher number of crops infested with Alectra. Number of
crops infested with Alectra was highest in Gazum local which was significantly at par with numbers recorded by
TVX 3236, Borno brown and Banjar. Similarly, significantly higher Alectra shoot counts were recorded in
Gazum local and TVX 3236 throughout the period of the observations. The same trend was observed in Alectra
shoot counts. (Tables 2 and 3). Omoigui et al (2007) had reported that Borno brown was highly susceptible to
Striga with yield loss ranging from 30 to 100% . Magani et al (2008) reported highest infestation of Alectra on
TVX 3236. In the present study, these genotypes that had high number of emerged Alectra shoots recorded
severe yield losses and gave grain yields that were significantly lower than those of the resistant genotypes
(Table 8). This suggests that they are highly susceptible to Alectra infestations.
Table 2.Reaction of cowpea genotypes on number of plants infested with Alectra at Garkawa , in 2011 and 2012
cropping seasons.
Cowpea
Genotype
Crops infested with Alectra vogelii at 9WAS Crops infested with Alectra vogelii at
12WAS
2011 2012 Combined 2011 2012 Combined
Banjar 4.00a 3.33ab 3.67a 14.00a 14.67a 14.33a
IT84S-246-4 2.00c 2.33c 2.17b 8.00b 8.33b 8.17b
IT97K-499-35 0.00d 0.00d 0.00c 0.00c 0.00c 0.00c
IT98K-573-1-1 0.00d 0.00d 0.00c 0.00c 0.00c 0.00c
IT89KD-391 2.00c 2.67bc 2.33b 7.00b 9.00b 8.00b
IT03K-338-1 0.00d 0.00d 0.00c 0.00c 0.00c 0.00c
IT98K-205-8 0.00d 0.00d 0.00c 0.00c 0.00c 0.00c
Borno brown 2.67bc 2.00c 2.33b 13.33a 12.00a 12.67a
TVX3236 3.33ab 3.33ab 3.33a 14.33a 14.67a 14.50a
UAM11D-24-55-
3
0.00d 0.00d 0.00c 0.00c 0.00c 0.00c
Gazum local 4.00a 4.00a 4.00a 15.00a 14.67a 14.83a
SE ± 0.33 0.31 0.28 1.07 0.91 0.82
Means in a column followed by the same letter(s) are not significantly different at 5% level of probability
(DMRT)
Table 3. Reaction of cowpea genotypes on Alectra shoot count at Garkawa , in 2011 and 2012 cropping seasons.
Cowpea
Genotype
Alectra shoot count at 9WAS Alectra shoot count at 12WAS
2011 2012 Combined 2011 2012 Combined
Banjar 8.00bc 8.33b 8.17b 18.33b 23.00a 20.67b
IT84S-246-4 4.67d 4.67c 4.67c 12.33c 12.00b 12.17c
IT97K-499-35 0.00e 0.00d 0.00d 0.00d 0.00c 0.00d
IT98K-573-1-1 0.00e 0.00d 0.00d 0.00d 0.00c 0.00d
IT89KD-391 3.67d 4.67c 4.17c 12.00c 12.00b 12.00c
IT03K-338-1 0.00e 0.00d 0.00d 0.00d 0.00c 0.00d
IT98K-205-8 0.00e 0.00d 0.00d 0.00d 0.00c 0.00d
Borno brown 7.67c 8.67b 8.17b 19.33b 22.67a 21.00b
TVX3236 9.33ab 11.00a 10.17a 21.33ab 25.33a 23.33ab
UAM11D-24-55-
3
0.00e 0.00d 0.00d 0.00d 0.00c 0.00d
Gazum local 9.67a 11.00a 10.33a 23.00a 25.67a 24.33a
SE ± 0.53 0.61 0.55 1.02 1.08 0.97
Means in a column followed by the same letter(s) are not significantly different at 5% level of probability
(DMRT)
In the two years , crop damage syndrome score differed significantly among cowpea genotypes at 9 and 12 WAS
(Table 4 ). At 9 WAS the combined year effect indicated that plants that were not infested by Alectra recorded
the least crop damage score; while Gazum local recorded the highest that was not significantly different from
Banjar, TVX3236 and IT89KD-391. Howevr, at 12 WAS, TVX3236 and Gazum local recorded the highest crop
damage score that was not significantly different from those of Banjar and IT84S-246-4, that was followed by
Borno brown
Journal of Natural Sciences Research www.iiste.org
ISSN 2224-3186 (Paper) ISSN 2225-0921 (Online)
Vol.4, No.15, 2014
41
Table 4 C.rop damage score of cowpea genotypes under Alectra infestation at Garkawa in 2011 and 2012
cropping seasons.
Cowpea
Genotype
Crop damage score at 9WAS Crop damage score at 12WAS
2011 2012 Combined 2011 2012 Combined
Banjar 2.67a 2.33bc 2.50ab 3.67a 3.33bc 3.50a
IT84S-246-4 2.00ab 2.33bc 2.17bc 3.67a 3.00cd 3.33a
IT97K-499-35 1.00c 1.00e 1.00d 1.00c 1.00e 1.00c
IT98K-573-1-1 1.00c 1.00e 1.00d 1.00c 1.00e 1.00c
IT89KD-391 2.67a 2.00d 2.33abc 3.67a 2.67d 3.17ab
IT03K-338-1 1.33bc 1.00e 1.17d 1.00c 1.00e 1.00c
IT98K-205-8 1.00c 1.00e 1.00d 1.00c 1.00e 1.00c
Borno brown 2.00a 1.67ed 1.83c 2.67b 2.67d 2.67b
TVX3236 2.67a 2.67ab 2.67ab 3.67a 3.67ab 3.67a
UAM11D-24-55-
3
1.00c 1.00e 1.00d 1.00c 1.00e 1.00c
Gazum local 2.67a 3.00a 2.83a 3.33ab 4.00a 3.67a
SE ± 0.25 0.20 0.16 0.26 0.19 0.21
Means in a column followed by the same letter(s) are not significantly different at 5% level of probability
(DMRT)
Crop damage score scale (1-5), where 1= normal crop growth; 5 =total scorching or obvious stunted or dead
plants
Genotypes that supported higher number of emerged Alectra and higher number of crops infested by Alectra also
recorded lower number of pods/plant, pod weight, 1000 seed weight (Tables 5-7) and subsequently lower grain
yield (Table 8). This suggests that reduced photosynthesis can result in a lower number of pods per plant with
subsequent reduction in pod weight and grain yield. Press (1995) had reported that Alectra infested plants record
lower biomass accumulation as a result of competition between the host and parasites for solutes, including
carbon and water, and a lower rate of photosynthesis. The higher number of pods and pod weight recorded by
IT84S-246-4 compared with other susceptible genotypes could be that this genotype exhibits some level of
tolerance to Alectra, though it did not translate into a corresponding increase in grain yield. Omoigui et al (2007)
had reported cultivars that supported many Alectra shoot per plot but still recorded higher grain yields. Magani
(1994) had reported tolerance as basis for high cowpea grain yield in VITA-3 in spite of high Alectra incidence.
Table 5..Number of pods of cowpea genotypes under Alectra infestation at Garkawa, 2011 and 2012 cropping
seasons
Cowpea
Genotype
Number of pods
/plot
2011 2012 Combined
Banjar 177.33e 212.00c 194.67f
IT84S-246-4 478.00a 392.00b 435.00a
IT97K-499-35 384.33ab 395.00b 389.67abc
IT98K-573-1-1 429.33a 520.67ab 475.00a
IT89KD-391 218.00de 190.33c 204.17f
IT03K-338-1 224.67de 408.00b 316.33cde
IT98K-205-8 283.00b-e 615.67a 449.33a
Borno brown 372.33abc 202.33c 287.33def
TVX3236 253.00b-e 406.67b 329.83bcd
UAM11D-24-55-3 340.00a-d 480.00b 410.00ab
Gazum local 234.33cde 231.33c 232.83ef
SE ± 42.93 43.03 29.10
Means in a column followed by the same letter(s) are not significantly different at 5% level of probability
(DMRT)
Journal of Natural Sciences Research www.iiste.org
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Vol.4, No.15, 2014
42
Table 6. Pod weight of cowpea genotypes under Alectra infestation at Garkawa, 2011 and 2012 cropping
seasons.
Cowpea
Genotype
Pod weight
(Kg/ha)
2011 2012 Combined
Banjar 296.30bc 315.50ef 305.90de
IT84S-246-4 481.50abc 533.80de 507.60b-e
IT97K-499-35 1066.70ab 668.60cd 867.70abc
IT98K-573-1-1 925.20ab 1107.90ab 1016.50a
IT89KD-391 444.40abc 282.20ef 363.30de
IT03K-338-1 500.00abc 847.30bc 673.60a-d
IT98K-205-8 518.50abc 1280.40a 899.50ab
Borno brown 314.80bc 183.40f 249.10e
TVX3236 207.40c 295.90ef 251.70e
UAM11D-24-55-3 918.50ab 1192.40a 1055.50a
Gazum local 540.70abc 391.90def 466.30cde
SE ± 187.10 51.19 126.57
Means in a column followed by the same letter(s) are not significantly different at 5% level of probability
(DMRT)
Table 7. Weight of 1000 seeds of cowpea genotypes under Alectra infestation at Garkawa, 2011 and 2012
cropping seasons.
Cowpea
Genotype
1000 seed weight (g)
2011 2012 Combined
Banjar 117.00f 150.00cde 133.50e
IT84S-246-4 128.00ef 130.00def 129.00e
IT97K-499-35 150.33cd 165.00bc 157.67bc
IT98K-573-1-1 166.67bc 150.00cde 158.33bc
IT89KD-391 147.67d 126.67ef 137.17de
IT03K-338-1 186.67a 153.33cd 170.00ab
IT98K-205-8 136.33de 180.00ab 158.17bc
Borno brown 174.67ab 123.33f 149.00cd
TVX3236 73.67f 120.00f 96.83f
UAM11D-24-55-3 147.33de 196.67a 172.00a
Gazum local 178.67ab 130.00def 154.33c
SE ± 4.91 7.81 4.21
Means in a column followed by the same letter(s) are not significantly different at 5% level of probability
(DMRT)
Table 8. Grain yield of cowpea genotypes under Alectra infestation at Garkawa, 2011 and 2012 cropping
seasons.
Cowpea
Genotype
Grain yield (Kg/ha)
2011 2012 Combined
Banjar 151.74d 241.90e 196.80ef
IT84S-246-4 352.25cd 391.90e 372.05de
IT97K-499-35 518.70ab 582.30cd 550.48cd
IT98K-573-1-1 590.18a 895.90b 743.05abc
IT89KD-391 256.33cd 228.90e 242.61ef
IT03K-338-1 476.45ab 731.10bc 603.78bc
IT98K-205-8 496.70ab 1240.70a 868.72a
Borno brown 177.73d 114.40e 146.09f
TVX3236 170.03d 258.90e 214.46ef
UAM11D-24-55-3 552.41a 1008.20ab 780.28ab
Gazum local 433.78ab 325.60de 379.67de
SE± 54.76 95.05 64.60
Means in a column followed by the same letter(s) are not significantly different at 5% level of probability
(DMRT).
Journal of Natural Sciences Research www.iiste.org
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Vol.4, No.15, 2014
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Generally, more grain yield was recorded in most of the genotypes in 2012 against lower yields in 2011. This
was probably as a result of higher rainfall during the growth stages of the crop (August and September) and
lower rainfall during the productive stage of the crop (October) in 2012 (Fig. 1).
Figure 1: Mean monthly rainfall in 2011 and 2012 in Garkawa
4. Conclusion
This study found significant variations in the levels of infestations with subsequent variations in yield
components and grain yield. Five varieties (IT97K-499-35, IT98K573-1-1, IT03K-338-1, IT98K-205-8 and
UAM 11D, 24-55-3) were confirmed resistant to Alectra in the study area. The Gazum local variety, Banjar,
Borno brown, and TVX3236 were found to be very susceptible to Alectra; while IT84S-246-4 and IT98KD-391
recorded moderate infestation of Alectra. Consequently these very susceptible genotypes will not be suitable
for cultivation in Garkawa (within the Southern Guinea Savanna) where Alectra vogelii is already endemic.
However, genotypes which were consistently resistant to Alectra, with corresponding high yields such as IT98K-
573-1-1, IT98K-205-8 and UAM11D- 24-55-3 showed promise and are hereby recommended for cultivation by
farmers in this study area.
References
Aggarwal, V.D. (1995). Cowpea Striga research. In: S.R. Singh and K.A. Rachie (eds). Cowpea Reseach
Production and Utilisation. John Willey and Sons, London, pp 335-340
Bagnall-Oakeley H, Gibberal V, & Niyongesa, T.E. (1991). The incidence and control of Alectra vogelii in
Embu District, Kenya. In: J.K. Ransom, I.J. Musselman, A.D. Worsham and C. Parker(eds).
Proceedings of the 5th
International Symposium of parasitic weeds, Nairobi: CIMMYT. PP. 340-345.
Botanga, C. J. & Timko, M. P. (2005). Genetic Structure and Analysis of host and non host interactions of
Striga gesnerioides (witch weed) from Central Florida.Phytopathology 95:1166-1173.
Bressani, R. (1985). Nutritive value of cowpea. In: Cowpea research, Production and Utilization. (Singh, S. R.
and Rachel, K. O. (Eds.), pp 353-360.Wiley and Sons, Chester, UK.
Cardwell, K. F. & Lane, J. A. (1995). Effect of soils, cropping system and host phenotype on incidence and
severity of Striga gesnerioides on cowpea in West Africa. Agriculture, Ecosystem and Environment
116, 251-254.
Dugje, I. Y., Kamara, A. Y. & Omoigui, L.O. (2006). Infestation of crop fields by Striga species in the savannas
0
100
200
300
400
500
600
Rainfallrecordedinmm
Months
2011
2012
Journal of Natural Sciences Research www.iiste.org
ISSN 2224-3186 (Paper) ISSN 2225-0921 (Online)
Vol.4, No.15, 2014
44
of north east Nigeria. Agricultrure, Ecosystem and Environment 116, 251-254.
Emechebe, A. M., Singh, B.B., Leleji, O. I., Atokple, I. D. K. and Adu, J. K. (1991).Cowpea Striga problems
and research in Nigeria. In: Kim, S.K. ed. Combating Striga in Africa. Proceedings of an International
Workshop, 1988 August 22-24; August, Ibadan, Nigeria.
Emechebe AM, Leleji, O. & Salako, E.A. (1983). Control of parasitic weeds in cowpea and groundnut:
IAR symposium on Striga and its control, 23 May 1988, Zaria, Nigeria.
Lagoke, S. T.O., Shebayan, J. Y., Magani, I.E; Olurumju, P., Olufajo O.O., Elemo,K. A., Uvah I., Adeoti, A. A.,
Chindo, P.S., Kureh, I., Emechebe, A. M., Ndahi, W. B., Kim, S.
K., Weber, G., Singh, B.B., Salanu, A., Avav, T. & Sule, T. T., (1993). Striga problem and control in Nigeria. A
report of activities of Striga and related parasitic weeds in Nigeria presented at the Third General
Workshop of PASCON at Harare, Zimbabwe, October 18-23, 1993.
Lagoke, S.T.O., Parkinson ,V.& Agunbiade, R.M.(1988)..Parasitic weeds control methods in Africa. In: S.K.
Kim (ed.). Combating Striga in Africa. Proceedings of International Workshop Organized by 11TA,
ICRISAT and IDRC, Ibadan, Nisgeria, PP 3-17.
Lane, J. A. Moor, T., Child D., & Bailey, J. (1997). Variation in virulence gesnerioides onn cowpea: new sources
of cropresistance. In: Singh, B. B. Mohan Raj, D. Dasheill,
K. and Jackai, L. (Eds.). Advances in cowpwea research, pp 225-230.Co-publication of International Institute of
Tropical Agriculture (IITA) and Japan International research center for Agricultural Sciences
(JIRCAS).IITA, Ibadan, Nigeria.
Lougyintuo, A.S., Lowenberg D., Faye, M., Lambert, G., Ibro, B. Moussa, Korgna, A.,Kushwaha, S., Musa, G.,
Natou Kam 2003. Cowpea supply and Demand in West Africa. Field Crops Res. 82:215-231.
Magani, I.E and Lagoke, S.T.O .(2009). Mechanism of reaction of cowpea varieties to,
Alectra vogelii (Benth) and its control. Journal of Applied Biosciences, BioSciencesCommunication and
Publications,14:775 - 781 :www.biosciences.elewa.org;
Magani, I. E., Lagoke S. T. O & Emechebe, A. M.( 2008). Developing an appropriate technique for evaluating
cowpea varieties’ reaction to parasitic plant Alectra vogelii (Benth.). Journal of Applied Bioscience.
10(2): 547-553.
Magani, I.E. (1994) Effects of fertilizers and herbicides on the reaction of cowpea varieties (Vigna unguiculata
Walp) to Alectra vogelii (Benth), A PhD. Thesis, Ahmadu Bello University, Zaria, Nigeria, 1994.
pp165.
Ogborn, J. E. A. (1987). Striga control under peasant farming conditions. Pages 145-158. In: Parasitic weeds in
Agriculture. Vol. I, Striga. L. J. Musselman, Ed. CRC Press, Noca Raton, F. L.
Omoigui, L. O., Kamara, A. Y. Ishiyaku, M. F. & Boukar, O.( 2012). Comparative responses of cowpea
breeding lines to Striga and Alectra in the dry savanna of north east Nigeria. African Journal of
Agricultural Reseach Vol. 7(5), pp 747-754.
Omoigui, L.O., Kamara, A. Y., Massawe, F.S., Ishiyaku, M. F. Boukar, O., Alabi, S. O. & Ekeleme, F. 2007.
Evaluation of cowpea genotypes for their reactions to Striga gesnerioides in the dry savanna of north
eastern Nigeria. Agrican Crop Science
Conference Proceedings Vol. 8. Pp 273-278. Printed in El-Minia, Egypt © 2007, African Crop Science Society.
Parkinson, V., Efron, Y., Bello, L. & Dashell, K. (1987). Trap crops as a cultural measure in Striga control in
Africa. FAO Plant Prot., Bull. 35:51-54.
Press, M. C. (1995). How do the parasitic weeds Striga and Orobanche influence host carbon relation? Aspects
of applied Biology. 42, 63 -70.
Sand, P. F., Epele & Wesbrooks, R.G. (1990). Witch weed research and control in the United States. Weed Sci.
Soc. Am. Mornogr. Ser. No. 5
Singh, B.B. (2002). Breeding cowpea varieties for resistance to Striga gesnerioides and Alectra vogelii. In:
Challenges and opportunities for enhancing sustainable cowpea production. Fatokun, C. A. (Ed.). pp.
154 -166. IITA, Ibadan, Nigeria.
Singh, B.B., Emechebe, A. M. & Atokple, J. D. (1993). Inheritance of Alectra resistance in cowpea genotypes
B301. Crop Science, 33: 70-72.
Stelle, W. W. (1976).Cowpeas pages 183-185. In: Evaluation of Crop UK Ltd, Harlow, Essex England
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Screening of cowpea genotypes for their reactions to alectra vogelii (benth.) in the southern guinea savanna of nigeria

  • 1. Journal of Natural Sciences Research www.iiste.org ISSN 2224-3186 (Paper) ISSN 2225-0921 (Online) Vol.4, No.15, 2014 38 Screening of Cowpea Genotypes for Their Reactions to Alectra Vogelii (Benth.) in the Southern Guinea Savanna of Nigeria C. Z itta1 ., E.I Magani2* and R.I.Ahom2 1.Department of Agricultural Technology,Plateau State College of Agriculture,Garkawa.,Nigeria. 2.Department of Crop and Environmental Protection, University of Agriculture, Makurdi,Nigeria. Corresponding Authors’ email address: finangwai@gmail.com Abstract Field experiments were conducted at Garkawa, Plateau State, Nigeria (08o 52’N; 09o 34’E) during the rainy seasons of 2011 and 2012 to evaluate the reactions of cowpea genotypes to Alectrra infestations. The treatments consisted of eleven cowpea genotypes laid out in a Randomized Complete Block Design with three replications. Five varieties (IT97K-499-35, IT98K573-1-1, IT03K-338-1, IT98K-205-8 and UAM 11D, 24-55-3) were confirmed resistant to Alectra in the study area. The Gazum local variety, Banjar, Borno brown, and TVX3236 were found to be very susceptible to Alectra; while IT84S-246-4 and IT98KD-391 recorded moderate infestation of Alectra. The combined year effect on days to Alectra emergence showed that Gazum local, TVX3236, Banjar and Borno brown supported significantly the earliest emergence of Alectra; while the genotypes IT89KD-373-1- 1 and IT84S-246-4 delayed the emergence of Alectra by 6 and 4 days , respectively. Gazum local recorded the highest number of crop plants infested with Alectra. Similarly, Alectra shoot counts were highest in Gazum local and TVX 3236. Apart from IT84S-246-4 in 2011, pod number, pod weight and 1000 seed weights were significantly higher in the Alectra free genotypes against lower values in the Alectra infested genotypes. Also, the Alectra infested genotypes recorded significantly more crop damaged syndrome score compared with the resistant genotypes which were healthier. It may be concluded from this investigation that IT97K-499-35, IT98K-573-1-1, IT03K-338-1, IT98K-205-8 and UAM 11D-24-55-3 that were found to be resistant to Alectra infestation which gave relatively higher grain yields are recommended for cultivation by farmers in the study area. Keywords: key words, Cowpea genotypes, Alectra vogelii, Resistance/ Tolerance, Guinea Savannah. 1. Introduction Cowpea, Vigna unguiculata (L) Walp is one of the most important and widely grown legumes in the savanna and sahel regions of Africa (Steele, 1976). It plays a critical role in the lives of millions of people in Africa and other parts of the developing world where it is a major source of dietary protein that nutritionally compliments staple low protein cereal and tuber crops. It is also a valuable and dependable commodity that provides income for farmers and traders (Singh, 2002; Longyintou et al, 2003). Another important feature of cowpea is that it fixes atmospheric nitrogen through symbiosis with nodule bacteria (Bradyrhizobium spp), thereby increasing N levels in the soil for the benefit of the following cereal crop grown in a rotation. Similarly, the above ground parts of cowpea, excepting pods, are usually harvested as fodder for Livestock feed (Bressani, 1985). Alectra vogelii (Benth.), is a hemiparasite parasitic plant belonging to the family Scrophulariaceae and is a parasitic plant of a wide range of legumes in the West, East and South Africa (Bagnall-Oakeley et al., 1991). Aggarwal (1985) and Emechebe et al. (1991) have observed that Alectra appears to be more destructive in the Northern Guinea and Sudan agro-ecologies, because of the marginal nutrient status of the soils and unreliable rainfall in these zones. Alectra and related parasitic weeds including Striga are presently among the most important biological constraints to food production in Africa. Although crop attack by Alectra has less severe impact than that of Striga, total yield loss is not uncommon in fields that are heavily infested by these parasites when susceptible varieties are planted (Emechebe et al., 1983). Significant crop yield losses caused by Alectra have been reported in legumes including cowpea, broad and velvet beans, groundnuts, bambara groundnut and grams (Riches, 1987; Lagoke et al., 1988). Several cultivated lands have been abandoned due to high infestations with the noxious parasitic weeds (Lagoke et al., 1988). Fields infested by these parasitic weeds are difficult to clean, because of the considerable amount of seeds produced and the dormancy mechanisms, which enable them to survive in the soil for several years (Emechebe et al., 1983). Alctra vogelii has been reported to be the cause of considerable damage to cowpea, with substantial yield reductions especially in Africa (Emechbe et al, 1991; Lagoke et al, 1994). Yield losses associated with Alectra vogelii have been reported to range from between 83 and 100% (Cardwell and Lane, 1991, Singh et al, 1993). Although considerable work has been done on various control methods for parasitic weeds, Alectra control in cowpea has received relatively little attention. It is however apparent that no single method can adequately control this problem and a number of methods would need to be integrated for effective control. Dugje et al, 2006, carried out a survey of the level of Alectra vogelii infestation on farmers’ field in North Eastern Nigeria and reported that more than 81% of the fields grown to cowpea in this region were infested with Alectra vogelii resulting in serious yield losses.
  • 2. Journal of Natural Sciences Research www.iiste.org ISSN 2224-3186 (Paper) ISSN 2225-0921 (Online) Vol.4, No.15, 2014 39 The control of Alectra vogelii is difficult mainly because of the unique adaptation of the parasite to its environment and the complexity of the host-parasite relationship (Botanga and Timko, 2005). General control measures for Alectra species include trap crops, hand pulling, cultivation of resistant cultivars and application of herbicides (Ogborn, 1987; Parkinson et al, 1997, Sand et al, 1990; Magani and Lagoke, 2009). Among these control measures, no one method has been found to be effective for the control of parasitic weeds. However the use of resistant cultivars seemed to be a more viable option. This study was therefore carried out to assess the reaction of eleven cowpea genotypes to Alectra vogelii infestations with a view of identifying resistant varieties that could be recommended to farmers for optimum cowpea production in the study area. 2. Materials and Methods Field trials were conducted in 2011 and 2012 at the Teaching and Research Farm of the Department of Agricultural Technology, Plateau State College of Agriculture Garkawa (08o 52’N; 09o 24’E) in the Southern Guinea Savanna where sandy loam is the dominant soil type. The site used for the trials was naturally and heavily infested with Alectra.The land was ploughed, harrowed and ridged at 0.75m apart. Ten cowpea genotypes were obtained from UAM cowpea breeding programme funded by Kirkhouse Trust. One local genotype (Land race) known to be susceptible to Alectra vogelii (Gazum local) was used as a check. Three cowpea seeds were planted per hole on 28th of August and 26th August 2011 and 2012, respectively. Thinning was done at two weeks after planting (WAP) to give two plants per stand. Weed control was done manually at 3 and 4 WAP. Thereafter hand pulling was employed to avoid damage to the Alectra plants. Fertilizer was applied by band method at 2 WAP at the rate of 100kg ha-1 of NPK (15:15:15) compound fertilizer to give the equivalent of 15kg a.i. ha-1 N, P2O5 and K2O, respectively. Insects were controlled with chemical insecticides by spraying at 5% flower initiation and at 2 weeks intervals thereafter with BEST Action Cypermethrin plus Dimethoate at the rate of 1.5 litres/ha, using a Knapsack sprayer. The experiments were laid out in a Randomized Complete Block Design with three replications. Each plot consisted of four rows, 4m long at spacing of 0.20m intra-row and 0.75m inter row. 3. Results and Discussion Reactions of cowpea genotypes to Alectra parameters viz; days to Alectra emergence, number of plants infected, Alectra shoot counts crop damage score, and yield and yield components such as number and weight of pods, weight of 1000 grains and cowpea grain yield are presented in Tables 1 to 8. The result showed that five genotypes: IT97K-499-35, IT98K-573-1-1, IT03K-338-1, IT98K-205-8 and UAM 11D-24-55-3 were consistently free of Alectra infestations (Tables 1- 3). The combined year effect on days to Alectra emergence showed that Gazum local, TVX3236, Banjar and Borno brown supported significantly the earliest emergence of Alectra; while the genotypes IT89KD-373-1-1 and IT84S-246-4 delayed the emergence of Alectra by 6 and 4 days , respectively. The non-emergence of Alectra in the five genotypes mentioned above confirms the characterization of these genotypes as resistant to Aletra infestations (Omoigui et al, 2011). This might be the reason for the relatively high yields recorded by these genotypes when compared with reduced yields in the susceptible genotypes. Early emergence of Alectra in Gazum local check and other susceptible genotypes confirms that these genotypes are suitable hosts for this parasite (Magani , 1994). Table 1.Screening of cowpea genotypes on number of days to first Alectra emergence at Garkawa, 2011 and 2012 cropping seasons Cowpea Genotype Days to Alectra emergence 2011 2012 Combined Banjar 42.67d 43.33c 43.00c IT84S-246-4 46.33b 47.67b 47.00b IT97K-499-35 0.00e 0.00d 0.00d IT98K-573-1-1 0.00e 0.00d 0.00d IT89KD-391 49.67a 50.00a 49.83a IT03K-338-1 0.00e 0.00d 0.00d IT98K-205-8 0.00e 0.00d 0.00d Borno brown 44.33c 43.00c 43.67c TVX3236 43.33cd 43.33c 43.33c UAM11D-24-55-3 0.00e 0.00d 0.00d Gazum local 43.00d 43.33c 43.17c SE ± 0.40 0.37 0.35 Means in a column followed by the same letter(s) are not significantly different at 5% level of probability (DMRT) There were significant differences among the cowpea genotypes in number of crops infested with Alectra.
  • 3. Journal of Natural Sciences Research www.iiste.org ISSN 2224-3186 (Paper) ISSN 2225-0921 (Online) Vol.4, No.15, 2014 40 Gazum local and TVX 3236 recorded significantly higher number of crops infested with Alectra. Number of crops infested with Alectra was highest in Gazum local which was significantly at par with numbers recorded by TVX 3236, Borno brown and Banjar. Similarly, significantly higher Alectra shoot counts were recorded in Gazum local and TVX 3236 throughout the period of the observations. The same trend was observed in Alectra shoot counts. (Tables 2 and 3). Omoigui et al (2007) had reported that Borno brown was highly susceptible to Striga with yield loss ranging from 30 to 100% . Magani et al (2008) reported highest infestation of Alectra on TVX 3236. In the present study, these genotypes that had high number of emerged Alectra shoots recorded severe yield losses and gave grain yields that were significantly lower than those of the resistant genotypes (Table 8). This suggests that they are highly susceptible to Alectra infestations. Table 2.Reaction of cowpea genotypes on number of plants infested with Alectra at Garkawa , in 2011 and 2012 cropping seasons. Cowpea Genotype Crops infested with Alectra vogelii at 9WAS Crops infested with Alectra vogelii at 12WAS 2011 2012 Combined 2011 2012 Combined Banjar 4.00a 3.33ab 3.67a 14.00a 14.67a 14.33a IT84S-246-4 2.00c 2.33c 2.17b 8.00b 8.33b 8.17b IT97K-499-35 0.00d 0.00d 0.00c 0.00c 0.00c 0.00c IT98K-573-1-1 0.00d 0.00d 0.00c 0.00c 0.00c 0.00c IT89KD-391 2.00c 2.67bc 2.33b 7.00b 9.00b 8.00b IT03K-338-1 0.00d 0.00d 0.00c 0.00c 0.00c 0.00c IT98K-205-8 0.00d 0.00d 0.00c 0.00c 0.00c 0.00c Borno brown 2.67bc 2.00c 2.33b 13.33a 12.00a 12.67a TVX3236 3.33ab 3.33ab 3.33a 14.33a 14.67a 14.50a UAM11D-24-55- 3 0.00d 0.00d 0.00c 0.00c 0.00c 0.00c Gazum local 4.00a 4.00a 4.00a 15.00a 14.67a 14.83a SE ± 0.33 0.31 0.28 1.07 0.91 0.82 Means in a column followed by the same letter(s) are not significantly different at 5% level of probability (DMRT) Table 3. Reaction of cowpea genotypes on Alectra shoot count at Garkawa , in 2011 and 2012 cropping seasons. Cowpea Genotype Alectra shoot count at 9WAS Alectra shoot count at 12WAS 2011 2012 Combined 2011 2012 Combined Banjar 8.00bc 8.33b 8.17b 18.33b 23.00a 20.67b IT84S-246-4 4.67d 4.67c 4.67c 12.33c 12.00b 12.17c IT97K-499-35 0.00e 0.00d 0.00d 0.00d 0.00c 0.00d IT98K-573-1-1 0.00e 0.00d 0.00d 0.00d 0.00c 0.00d IT89KD-391 3.67d 4.67c 4.17c 12.00c 12.00b 12.00c IT03K-338-1 0.00e 0.00d 0.00d 0.00d 0.00c 0.00d IT98K-205-8 0.00e 0.00d 0.00d 0.00d 0.00c 0.00d Borno brown 7.67c 8.67b 8.17b 19.33b 22.67a 21.00b TVX3236 9.33ab 11.00a 10.17a 21.33ab 25.33a 23.33ab UAM11D-24-55- 3 0.00e 0.00d 0.00d 0.00d 0.00c 0.00d Gazum local 9.67a 11.00a 10.33a 23.00a 25.67a 24.33a SE ± 0.53 0.61 0.55 1.02 1.08 0.97 Means in a column followed by the same letter(s) are not significantly different at 5% level of probability (DMRT) In the two years , crop damage syndrome score differed significantly among cowpea genotypes at 9 and 12 WAS (Table 4 ). At 9 WAS the combined year effect indicated that plants that were not infested by Alectra recorded the least crop damage score; while Gazum local recorded the highest that was not significantly different from Banjar, TVX3236 and IT89KD-391. Howevr, at 12 WAS, TVX3236 and Gazum local recorded the highest crop damage score that was not significantly different from those of Banjar and IT84S-246-4, that was followed by Borno brown
  • 4. Journal of Natural Sciences Research www.iiste.org ISSN 2224-3186 (Paper) ISSN 2225-0921 (Online) Vol.4, No.15, 2014 41 Table 4 C.rop damage score of cowpea genotypes under Alectra infestation at Garkawa in 2011 and 2012 cropping seasons. Cowpea Genotype Crop damage score at 9WAS Crop damage score at 12WAS 2011 2012 Combined 2011 2012 Combined Banjar 2.67a 2.33bc 2.50ab 3.67a 3.33bc 3.50a IT84S-246-4 2.00ab 2.33bc 2.17bc 3.67a 3.00cd 3.33a IT97K-499-35 1.00c 1.00e 1.00d 1.00c 1.00e 1.00c IT98K-573-1-1 1.00c 1.00e 1.00d 1.00c 1.00e 1.00c IT89KD-391 2.67a 2.00d 2.33abc 3.67a 2.67d 3.17ab IT03K-338-1 1.33bc 1.00e 1.17d 1.00c 1.00e 1.00c IT98K-205-8 1.00c 1.00e 1.00d 1.00c 1.00e 1.00c Borno brown 2.00a 1.67ed 1.83c 2.67b 2.67d 2.67b TVX3236 2.67a 2.67ab 2.67ab 3.67a 3.67ab 3.67a UAM11D-24-55- 3 1.00c 1.00e 1.00d 1.00c 1.00e 1.00c Gazum local 2.67a 3.00a 2.83a 3.33ab 4.00a 3.67a SE ± 0.25 0.20 0.16 0.26 0.19 0.21 Means in a column followed by the same letter(s) are not significantly different at 5% level of probability (DMRT) Crop damage score scale (1-5), where 1= normal crop growth; 5 =total scorching or obvious stunted or dead plants Genotypes that supported higher number of emerged Alectra and higher number of crops infested by Alectra also recorded lower number of pods/plant, pod weight, 1000 seed weight (Tables 5-7) and subsequently lower grain yield (Table 8). This suggests that reduced photosynthesis can result in a lower number of pods per plant with subsequent reduction in pod weight and grain yield. Press (1995) had reported that Alectra infested plants record lower biomass accumulation as a result of competition between the host and parasites for solutes, including carbon and water, and a lower rate of photosynthesis. The higher number of pods and pod weight recorded by IT84S-246-4 compared with other susceptible genotypes could be that this genotype exhibits some level of tolerance to Alectra, though it did not translate into a corresponding increase in grain yield. Omoigui et al (2007) had reported cultivars that supported many Alectra shoot per plot but still recorded higher grain yields. Magani (1994) had reported tolerance as basis for high cowpea grain yield in VITA-3 in spite of high Alectra incidence. Table 5..Number of pods of cowpea genotypes under Alectra infestation at Garkawa, 2011 and 2012 cropping seasons Cowpea Genotype Number of pods /plot 2011 2012 Combined Banjar 177.33e 212.00c 194.67f IT84S-246-4 478.00a 392.00b 435.00a IT97K-499-35 384.33ab 395.00b 389.67abc IT98K-573-1-1 429.33a 520.67ab 475.00a IT89KD-391 218.00de 190.33c 204.17f IT03K-338-1 224.67de 408.00b 316.33cde IT98K-205-8 283.00b-e 615.67a 449.33a Borno brown 372.33abc 202.33c 287.33def TVX3236 253.00b-e 406.67b 329.83bcd UAM11D-24-55-3 340.00a-d 480.00b 410.00ab Gazum local 234.33cde 231.33c 232.83ef SE ± 42.93 43.03 29.10 Means in a column followed by the same letter(s) are not significantly different at 5% level of probability (DMRT)
  • 5. Journal of Natural Sciences Research www.iiste.org ISSN 2224-3186 (Paper) ISSN 2225-0921 (Online) Vol.4, No.15, 2014 42 Table 6. Pod weight of cowpea genotypes under Alectra infestation at Garkawa, 2011 and 2012 cropping seasons. Cowpea Genotype Pod weight (Kg/ha) 2011 2012 Combined Banjar 296.30bc 315.50ef 305.90de IT84S-246-4 481.50abc 533.80de 507.60b-e IT97K-499-35 1066.70ab 668.60cd 867.70abc IT98K-573-1-1 925.20ab 1107.90ab 1016.50a IT89KD-391 444.40abc 282.20ef 363.30de IT03K-338-1 500.00abc 847.30bc 673.60a-d IT98K-205-8 518.50abc 1280.40a 899.50ab Borno brown 314.80bc 183.40f 249.10e TVX3236 207.40c 295.90ef 251.70e UAM11D-24-55-3 918.50ab 1192.40a 1055.50a Gazum local 540.70abc 391.90def 466.30cde SE ± 187.10 51.19 126.57 Means in a column followed by the same letter(s) are not significantly different at 5% level of probability (DMRT) Table 7. Weight of 1000 seeds of cowpea genotypes under Alectra infestation at Garkawa, 2011 and 2012 cropping seasons. Cowpea Genotype 1000 seed weight (g) 2011 2012 Combined Banjar 117.00f 150.00cde 133.50e IT84S-246-4 128.00ef 130.00def 129.00e IT97K-499-35 150.33cd 165.00bc 157.67bc IT98K-573-1-1 166.67bc 150.00cde 158.33bc IT89KD-391 147.67d 126.67ef 137.17de IT03K-338-1 186.67a 153.33cd 170.00ab IT98K-205-8 136.33de 180.00ab 158.17bc Borno brown 174.67ab 123.33f 149.00cd TVX3236 73.67f 120.00f 96.83f UAM11D-24-55-3 147.33de 196.67a 172.00a Gazum local 178.67ab 130.00def 154.33c SE ± 4.91 7.81 4.21 Means in a column followed by the same letter(s) are not significantly different at 5% level of probability (DMRT) Table 8. Grain yield of cowpea genotypes under Alectra infestation at Garkawa, 2011 and 2012 cropping seasons. Cowpea Genotype Grain yield (Kg/ha) 2011 2012 Combined Banjar 151.74d 241.90e 196.80ef IT84S-246-4 352.25cd 391.90e 372.05de IT97K-499-35 518.70ab 582.30cd 550.48cd IT98K-573-1-1 590.18a 895.90b 743.05abc IT89KD-391 256.33cd 228.90e 242.61ef IT03K-338-1 476.45ab 731.10bc 603.78bc IT98K-205-8 496.70ab 1240.70a 868.72a Borno brown 177.73d 114.40e 146.09f TVX3236 170.03d 258.90e 214.46ef UAM11D-24-55-3 552.41a 1008.20ab 780.28ab Gazum local 433.78ab 325.60de 379.67de SE± 54.76 95.05 64.60 Means in a column followed by the same letter(s) are not significantly different at 5% level of probability (DMRT).
  • 6. Journal of Natural Sciences Research www.iiste.org ISSN 2224-3186 (Paper) ISSN 2225-0921 (Online) Vol.4, No.15, 2014 43 Generally, more grain yield was recorded in most of the genotypes in 2012 against lower yields in 2011. This was probably as a result of higher rainfall during the growth stages of the crop (August and September) and lower rainfall during the productive stage of the crop (October) in 2012 (Fig. 1). Figure 1: Mean monthly rainfall in 2011 and 2012 in Garkawa 4. Conclusion This study found significant variations in the levels of infestations with subsequent variations in yield components and grain yield. Five varieties (IT97K-499-35, IT98K573-1-1, IT03K-338-1, IT98K-205-8 and UAM 11D, 24-55-3) were confirmed resistant to Alectra in the study area. The Gazum local variety, Banjar, Borno brown, and TVX3236 were found to be very susceptible to Alectra; while IT84S-246-4 and IT98KD-391 recorded moderate infestation of Alectra. Consequently these very susceptible genotypes will not be suitable for cultivation in Garkawa (within the Southern Guinea Savanna) where Alectra vogelii is already endemic. However, genotypes which were consistently resistant to Alectra, with corresponding high yields such as IT98K- 573-1-1, IT98K-205-8 and UAM11D- 24-55-3 showed promise and are hereby recommended for cultivation by farmers in this study area. References Aggarwal, V.D. (1995). Cowpea Striga research. In: S.R. Singh and K.A. Rachie (eds). Cowpea Reseach Production and Utilisation. John Willey and Sons, London, pp 335-340 Bagnall-Oakeley H, Gibberal V, & Niyongesa, T.E. (1991). The incidence and control of Alectra vogelii in Embu District, Kenya. In: J.K. Ransom, I.J. Musselman, A.D. Worsham and C. Parker(eds). Proceedings of the 5th International Symposium of parasitic weeds, Nairobi: CIMMYT. PP. 340-345. Botanga, C. J. & Timko, M. P. (2005). Genetic Structure and Analysis of host and non host interactions of Striga gesnerioides (witch weed) from Central Florida.Phytopathology 95:1166-1173. Bressani, R. (1985). Nutritive value of cowpea. In: Cowpea research, Production and Utilization. (Singh, S. R. and Rachel, K. O. (Eds.), pp 353-360.Wiley and Sons, Chester, UK. Cardwell, K. F. & Lane, J. A. (1995). Effect of soils, cropping system and host phenotype on incidence and severity of Striga gesnerioides on cowpea in West Africa. Agriculture, Ecosystem and Environment 116, 251-254. Dugje, I. Y., Kamara, A. Y. & Omoigui, L.O. (2006). Infestation of crop fields by Striga species in the savannas 0 100 200 300 400 500 600 Rainfallrecordedinmm Months 2011 2012
  • 7. Journal of Natural Sciences Research www.iiste.org ISSN 2224-3186 (Paper) ISSN 2225-0921 (Online) Vol.4, No.15, 2014 44 of north east Nigeria. Agricultrure, Ecosystem and Environment 116, 251-254. Emechebe, A. M., Singh, B.B., Leleji, O. I., Atokple, I. D. K. and Adu, J. K. (1991).Cowpea Striga problems and research in Nigeria. In: Kim, S.K. ed. Combating Striga in Africa. Proceedings of an International Workshop, 1988 August 22-24; August, Ibadan, Nigeria. Emechebe AM, Leleji, O. & Salako, E.A. (1983). Control of parasitic weeds in cowpea and groundnut: IAR symposium on Striga and its control, 23 May 1988, Zaria, Nigeria. Lagoke, S. T.O., Shebayan, J. Y., Magani, I.E; Olurumju, P., Olufajo O.O., Elemo,K. A., Uvah I., Adeoti, A. A., Chindo, P.S., Kureh, I., Emechebe, A. M., Ndahi, W. B., Kim, S. K., Weber, G., Singh, B.B., Salanu, A., Avav, T. & Sule, T. T., (1993). Striga problem and control in Nigeria. A report of activities of Striga and related parasitic weeds in Nigeria presented at the Third General Workshop of PASCON at Harare, Zimbabwe, October 18-23, 1993. Lagoke, S.T.O., Parkinson ,V.& Agunbiade, R.M.(1988)..Parasitic weeds control methods in Africa. In: S.K. Kim (ed.). Combating Striga in Africa. Proceedings of International Workshop Organized by 11TA, ICRISAT and IDRC, Ibadan, Nisgeria, PP 3-17. Lane, J. A. Moor, T., Child D., & Bailey, J. (1997). Variation in virulence gesnerioides onn cowpea: new sources of cropresistance. In: Singh, B. B. Mohan Raj, D. Dasheill, K. and Jackai, L. (Eds.). Advances in cowpwea research, pp 225-230.Co-publication of International Institute of Tropical Agriculture (IITA) and Japan International research center for Agricultural Sciences (JIRCAS).IITA, Ibadan, Nigeria. Lougyintuo, A.S., Lowenberg D., Faye, M., Lambert, G., Ibro, B. Moussa, Korgna, A.,Kushwaha, S., Musa, G., Natou Kam 2003. Cowpea supply and Demand in West Africa. Field Crops Res. 82:215-231. Magani, I.E and Lagoke, S.T.O .(2009). Mechanism of reaction of cowpea varieties to, Alectra vogelii (Benth) and its control. Journal of Applied Biosciences, BioSciencesCommunication and Publications,14:775 - 781 :www.biosciences.elewa.org; Magani, I. E., Lagoke S. T. O & Emechebe, A. M.( 2008). Developing an appropriate technique for evaluating cowpea varieties’ reaction to parasitic plant Alectra vogelii (Benth.). Journal of Applied Bioscience. 10(2): 547-553. Magani, I.E. (1994) Effects of fertilizers and herbicides on the reaction of cowpea varieties (Vigna unguiculata Walp) to Alectra vogelii (Benth), A PhD. Thesis, Ahmadu Bello University, Zaria, Nigeria, 1994. pp165. Ogborn, J. E. A. (1987). Striga control under peasant farming conditions. Pages 145-158. In: Parasitic weeds in Agriculture. Vol. I, Striga. L. J. Musselman, Ed. CRC Press, Noca Raton, F. L. Omoigui, L. O., Kamara, A. Y. Ishiyaku, M. F. & Boukar, O.( 2012). Comparative responses of cowpea breeding lines to Striga and Alectra in the dry savanna of north east Nigeria. African Journal of Agricultural Reseach Vol. 7(5), pp 747-754. Omoigui, L.O., Kamara, A. Y., Massawe, F.S., Ishiyaku, M. F. Boukar, O., Alabi, S. O. & Ekeleme, F. 2007. Evaluation of cowpea genotypes for their reactions to Striga gesnerioides in the dry savanna of north eastern Nigeria. Agrican Crop Science Conference Proceedings Vol. 8. Pp 273-278. Printed in El-Minia, Egypt © 2007, African Crop Science Society. Parkinson, V., Efron, Y., Bello, L. & Dashell, K. (1987). Trap crops as a cultural measure in Striga control in Africa. FAO Plant Prot., Bull. 35:51-54. Press, M. C. (1995). How do the parasitic weeds Striga and Orobanche influence host carbon relation? Aspects of applied Biology. 42, 63 -70. Sand, P. F., Epele & Wesbrooks, R.G. (1990). Witch weed research and control in the United States. Weed Sci. Soc. Am. Mornogr. Ser. No. 5 Singh, B.B. (2002). Breeding cowpea varieties for resistance to Striga gesnerioides and Alectra vogelii. In: Challenges and opportunities for enhancing sustainable cowpea production. Fatokun, C. A. (Ed.). pp. 154 -166. IITA, Ibadan, Nigeria. Singh, B.B., Emechebe, A. M. & Atokple, J. D. (1993). Inheritance of Alectra resistance in cowpea genotypes B301. Crop Science, 33: 70-72. Stelle, W. W. (1976).Cowpeas pages 183-185. In: Evaluation of Crop UK Ltd, Harlow, Essex England
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