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Spatial distribution and density of Striga hermonthica (Del.) benth infestation associated with cereal production in southern guinea savanna farming systems

Abstract This study describes the distribution patterns of S. hermonthica infestation present in 117 farmers’ fields located in 61 villages in the three major cereal growing areas of Benue and Nasarawa states. A total of 1098 respondents were randomly selected proportionate to the number of households in all the zones. Striga count was taken using a quadrat and farmers’ fields were visually assessed using a five-category ranking (very high density,high density, medium, low, very low density) and recording the geo referenced data. On average, 67.3 and 3.2% of the surveyed area were infested with high and low density of Striga, respectively. The mean number of Striga plants per m2 was greater at Nassarawa State (one to eighteen plants m-2) than Benue State (one to twelve plants m -2). In Benue, the largest percentage of Striga infestation was recorded in Buruku (49.7%) and the lowest was obtained in Guma (38.3%). In Nassarawa, under sorghum cultivation, higher Strigadensties were recorded in Karu and Awe LGA; while Doma, Keana and Obi LGA recorded moderate Striga infestation. In both locations, Striga infestation was highest in sorghum fields; while millet fields recorded the least. About 40% and 35.4% of the farmers reported that new modern farming methods and Striga control copping strategies, respectively are received from Extension agents , during Monthly Technology Review Meeting (MTRM). The study has provided baseline information on the spread of S. hermonthica in the Southern Guinea Savanna of Nigeria and therefore, copping strategies for its control should be intensified.

Abstract
This study describes the distribution patterns of S. hermonthica infestation present in 117 farmers’ fields located in 61 villages in the three major cereal growing areas of Benue and Nasarawa states. A total of 1098 respondents were randomly selected proportionate to the number of households in all the zones. Striga count was taken using a quadrat and farmers’ fields were visually assessed using a five-category ranking (very high density,high density, medium, low, very low density) and recording the geo referenced data. On average, 67.3 and 3.2% of the surveyed area were infested with high and low density of Striga, respectively. The mean number of Striga plants per m2 was greater at Nassarawa State (one to eighteen plants m-2) than Benue State (one to twelve plants m -2). In Benue, the largest percentage of Striga infestation was recorded in Buruku (49.7%) and the lowest was obtained in Guma (38.3%). In Nassarawa, under sorghum cultivation, higher Strigadensties were recorded in Karu and Awe LGA; while Doma, Keana and Obi LGA recorded moderate Striga infestation. In both locations, Striga infestation was highest in sorghum fields; while millet fields recorded the least. About 40% and 35.4% of the farmers reported that new modern farming methods and Striga control copping strategies, respectively are received from Extension agents , during Monthly Technology Review Meeting (MTRM). The study has provided baseline information on the spread of S. hermonthica in the Southern Guinea Savanna of Nigeria and therefore, copping strategies for its control should be intensified.

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J. Bio. & Env. Sci. 2014<br />

<strong>Striga</strong> damage <strong>and</strong> prevalence <strong>and</strong> rout<strong>in</strong>e crop<br />

management practices adopted.<br />

Table 2. Coord<strong>in</strong>ate locations <strong>and</strong> altitudes <strong>of</strong> S. <strong>hermonthica</strong> surveyed area <strong>in</strong> Nassarawa State used <strong>in</strong> study.<br />

State LGA Village Longitude (N) Latitude (E) Altitude (m)<br />

Nasarawa Akwanga AnguwanZaria 008.38 o 08.92 o 490 ± 3.96<br />

Nasarawa Akwanga Andaha 008.41 o 09.05 o 514 ± 3.66<br />

Nasarawa Akwanga Gudi 008.26 o 08.90 o 445 ± 3.66<br />

Nasarawa Akwanga Ubbe 008.43 o 08.87 o 404 ± 3.66<br />

Nasarawa Awe Kanje 009.08 o 08.24 o 190 ± 3.35<br />

Nasarawa Doma Doma 008.36 o 08.39 o 159 ± 3.66<br />

Nasarawa Doma Idiya 008.32 o 08.27 o 163 ± 3.35<br />

Nasarawa Doma Oh<strong>in</strong>a 008.36 o 08.31 o 138 ± 3.36<br />

Nasarawa Kaena Aloshi 008.81 o 08.25 o 203 ± 3.35<br />

Nasarawa Kaena Agaza 008.81 o 08.29 o 162 ± 3.35<br />

Nasarawa Karu AnguwanKwano 007.89 o 08.93 o 330 ± 3.66<br />

Nasarawa Karu AnguwanWayo 008.02 o 09.24 o 458 ± 3.35<br />

Nasarawa Karu Gitata 007.95 o 09.14 o 446 ± 3.36<br />

Nasarawa Karu Gunduma 007.89 o 08.97 o 353 ± 3.35<br />

Nasarawa Karu Tattara 007.10 o 09.21 o 482 ± 3.36<br />

Nasarawa Karu Uke 007.72 o 08.91 o 321 ± 3.66<br />

Nasarawa Karu Zango 007.94 o 09.11 o 428 ± 3.96<br />

Nasarawa Keffi AnguwanJaba 007.92 o 08.88 o 345 ± 3.96<br />

Nasarawa Keffi AnguwanN<strong>in</strong>zo 007.88 o 08.88 o 323 ± 3.35<br />

Nasarawa Keffi Gora 007.77 o 08.88 o 396 ± 3.66<br />

Nasarawa Keffi Sabon-gari 007.82 o 08.86. o 359 ± 3.35<br />

Nasarawa Kokona Garaku 008.15 o 08.86 o 397 ± 3.35<br />

Nasarawa Kokona Sabon-gida 008.02 o 08.85 o 309 ± 3.35<br />

Nasarawa Lafia Akurba 008.57 o 08.53 o 214 ± 3.96<br />

Nasarawa Lafia AkurbaAkoko 008.58 o 08.53 o 220 ± 3.66<br />

Nasarawa Lafia Shabu 008.56 o 08.56 o 161 ± 3.66<br />

Nasarawa Nassarawa Kuvo 007.85 o 08.27 o 162 ± 3.66<br />

Nasarawa Nassarawa Marmara 007.78 o 08.62 o 235 ± 3.35<br />

Nasarawa Nassarawa MarrabaUdege 007.82 o 08.33 o 167 ± 3.66<br />

Nasarawa Nassarawa Nass town 007.72 o 08.56 o 225 ± 3.35<br />

Nasarawa N/Eggon Alizaga 008.59 o 08.67 o 203 ± 3.66<br />

Nasarawa N/Eggon Wulko 008.45 o 08.84 o 420 ± 3.66<br />

Nasarawa Obi Adudu 008.99 o 08.30 o 200 ± 3.66<br />

Nasarawa Obi Agwatashi 008.86 o 08.31 o 217 ± 3.96<br />

Nasarawa Obi Agyragu 008.56 o 08.25 o 192 ± 3.66<br />

Nasarawa Obi Daddare 008.77 o 08.44 o 216 ± 3.35<br />

Nasarawa Obi Obi 008.77 o 08.36 o 170 ± 3.66<br />

Nasarawa Toto Gadabuke 007.24 o 08.42 o 178 ± 4.27<br />

Nasarawa Toto Karmo 007.49 o 08.48 o 192 ± 3.96<br />

Nasarawa Toto Kuru 007.17 o 08.39 o 226 ± 4.27<br />

Nasarawa Toto Yelwa 007.22 o 08.40 o 183 ± 4.27<br />

Nasarawa Wamba Wamba 008.60 o 08.95 o 421 ± 3.35<br />

Nasarawa Wamba Wamba-kurmi 008.57 o 08.94 o 414 ± 3.35<br />

<strong>Striga</strong> species was identified based on the<br />

development <strong>and</strong> morphological features described<br />

by Ramaiahet al., (1983) <strong>and</strong> Parker <strong>and</strong> Riches<br />

(1993). <strong>Striga</strong> plant counts were made <strong>in</strong> maize,<br />

sorghum <strong>and</strong> pearl millet fields. Emerged <strong>Striga</strong><br />

plant was counted from 1 m x 1 m quadrat from five<br />

po<strong>in</strong>ts diagonally chosen from each field as described<br />

by Kim (1994). The coord<strong>in</strong>ates <strong>of</strong> each surveyed sites<br />

were recorded us<strong>in</strong>g GPS (Garm<strong>in</strong> Colorado 400c<br />

h<strong>and</strong>held Global Position<strong>in</strong>g System). All the<br />

measurable data were <strong>in</strong>corporated <strong>in</strong>to GIS<br />

generated model to provide the probability to predict<br />

its likely geographical <strong>distribution</strong>. The spatial<br />

<strong>distribution</strong> <strong>in</strong> term <strong>of</strong> the <strong>density</strong> was classified us<strong>in</strong>g<br />

five categories, very low, low, medium, high <strong>and</strong> very<br />

high to represent the range <strong>of</strong> occurrence us<strong>in</strong>g the<br />

designated map <strong>in</strong> Arc Map 10. Data were<br />

transformed us<strong>in</strong>g square root method <strong>and</strong> analysis<br />

was done us<strong>in</strong>g first stepwise regression procedures<br />

for identify<strong>in</strong>g the most important variables <strong>and</strong><br />

subsequently general l<strong>in</strong>ear model procedures for<br />

test<strong>in</strong>g the model (SPSS).<br />

422 | Ibrahim et al.

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