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View of Weed Biomass and Weed Species Diversity of Juvenile Citrus Trees Intercrop with some Arable Crops

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Weed Biomass and Weed Species Diversity of Juvenile Citrus Trees Intercrop with some Arable Crops

Patience Mojibade OLORUNMAIYE

1*,

Stephen Olaoye AFOLAYAN

2

1University of Agriculture Abeokuta, Department of Plant Physiology and Crop Production, Abeokuta, Nigeria; [email protected] (*corresponding author)

2National Horticultural Research Institute, Bagauda Substation, Kano, Nigeria

Abstract

A preliminary study was carried out to evaluate the performances of eight crops in the intercrop of citrus with arable crops at the National Horticultural Research Institute (NIHORT) Ibadan, Nigeria. Eight arable crops: maize, cucumber, sweet potato, Corchorus olitorius, large green, grain amaranth, Mucuna pruriens var. utilis, and groundnut were intercropped with young citrus trees in the early planting season of 2010 with sole citrus as control. The experiment was laid out in a completely randomized block design with three replicates. Data were collected on weed flora, weed density and weed dry weight. Results showed that the relative frequencies of weeds in all the plots were less than 4% at both 6 and 9 WAP. Gomphrena celosoides, Oldenlandia corymbosa and Tridax procumbens were most preponderant in appearing in all the plots. Tridax procumbens had a consistent relative frequency (2.34%) in all the plots except in citrus/

maize plot (0.78%) at 9 WAP. Significantly lower broadleaf weed densities were obtained in citrus/sweet potato, citrus/large green, control plot and citrus/cucumber (28.67, 45.00, 50.00 and 76.33 m-2 respectively) than in citrus/groundnut plot (143.00 m-2). Similarly, significantly lower grass weed densities were produced in citrus/Mucuna and citrus/sweet potato (0.33 m-2 each) plots than the control plot (11.33 m-2). Whereas citrus/Corchorus plot produced significantly lower broadleaf weed dry weight (37.59 g m-2) than citrus/

Mucuna plot (126.47 g m-2) at 3 WAP, citrus/large green plot (16.15 g m-2) and citrus/groundnut plot (123.25 g m-2) followed the same trend at 6 WAP. Sedges dry weights were less than 7 g m-2 in all the plots compared with controlplot.

Keywords: weed density, relative frequency, Mucuna pruriens, large green, grain amaranth, cucumber Introduction

Citrus as a fruit crop acts as a rich source of vitamin C and other essential nutrients required by human body and this has necessitated its wide cultivation in Nigeria (Adewale et al., 1996), Brazil, USA and other countries (Florida Citrus Agriculture, 2004). The citrus trees take longer time to produce fruit and so short duration crops like chilli, amaranth (Aiyelaagbe, 2001), turmeric, pepper, ginger and basil (Oyedele et al., 2011) can provide ready cash flow. In the southern part of Nigeria, a number of crops like cowpea, okra, water melon, pepper, amaranth and maize have been found to be compatible with citrus intercrop (NIHORT, 2000). Intercropping is the cultiva- tion of two or more crops at the same time in the same field. Its profits are risk minimization, increase in farmers’

income and food security, reduction of soil erosion, pest and disease control (Bekunda, 1999; Bekunda and Woom- er, 1996; Jodha, 1979; Owuor et al., 2002). Depending on the crops intercropped, competition for water, light and nutrients may result in lower yields. Lower weed biomass has been reported in intercropping systems where a main crop was inter-sown with a “smother” crop species (Jodha, 1979). Greater crop yield and less weed growth can be ob- tained more frequently in intercrops than in sole crops. In

East Africa fruit crops are usually intercropped with annu- al crops for example, banana is intercropped with food and / or fodder crops (Clark and Francis, 1985) while in India bananas are intercropped with potato which had resulted in good returns (Okigbo, 1979). An intercrop between citrus mandarin seedlings and cucumber has also been re- ported to give high yield of cucumber fruit and minimal interference in the growth of citrus seedlings which might be due to the low growing nature of the latter (Natarajaa and Nairk, 1992). In Kenya, fruit trees are intercropped with all types of short term crops such as beans, peas, pota- toes, maize, millet, exotic and indigenous vegetables when they are still young as a way of attaining food security and income before the trees mature. Intercropping can be used as an effective weed control strategy (George and Jeruto, 2010) as different plant types growing together enhances weed control by increasing shade and crop competition with weeds through tighter crop spacing. Data on the weed biomass and weed flora diversity in juvenile citrus intercrop with arable crops at the National Horticultural Research Institute, Ibadan, a south-west forest ecological zone of Nigeria has not been documented. It is therefore the objective of this study to investigate the weed biomass, weed density and weed species diversity of a citrus inter- crop with some arable crops.

Received 07 November 2011; accepted 20 January 2012

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The arable crops were intercropped with the young cit- rus trees of about 3 years old. Land preparation was done manually by slashing with cutlass in late April, 2010 and the experiment was laid in a completely randomized block design with three replicates. The size of each plot was 6 m

× 12 m. Maize and M. pruriens were planted at a spacing of 90 cm × 45 cm each, cucumber, groundnut and sweet potato at 60 cm × 30 cm each while Corchorus , large green, and grain amaranth were drilled at 30 cm apart each at a Materials and methods

The study was conducted at National Horticultural Re- search Institute (NIHORT), Ibadan, Nigeria in the early cropping season of 2010. The treatments comprised of 8 arable crops [maize (var. ‘DMR LSR’ yellow)], cucumber (royal hybrid F1), sweet potato, Corchorus olitorius, large green, grain amaranth, Mucuna pruriens var. utilis and groundnut) with a citrus plot without any crop as control.

Tab. 1. Weed species composition of intercropping citrus with arable crops in NIHORT, Ibadan Nigeria

Weed species Growth form Families

Acroceras zizanoides Dandy PG Poaceae

Ageratum conyzoides L. ABL Asteraceae

Alternanthera sessilis (L.) R. Br. Ex Roth ABL Amaranthaceae

Amaranthus viridus ABL Amaranthaceae

Aspilia africana (Pers.)c. Adams ABL Asteraceae

Axonopus compressus (Sw.) P. Beauv. AG Poaceae

Boerhavia diffusa L. ABL Nyctaginaceae

Celosia spp. ABL Amaranthaceae

Centrosema pubescens Benth. PBL Fabaceae

Cleome viscossa ABL Cleomaceae

Commelina benghalensis L. ABL Commelinaceae

Commelina erecta L. ABL Commelinaceae

Corchorus olitorious L ABL Tiliaceae

Cyperus esculentus Linn. PS Cyperaceae

Cynodon dactylon PG Poaceae

Desmodium scropiurus (Sw.) Desv. ABL Fabaceae

Digitaria horizontalis AG Poaceae

Euphorbia heterophylla L. ABL Euphorbiaceae

Euphorbia hirta L. ABL Euphorbiaceae

Gomphrena celosoides Mart. ABL Amaranthaceae

Ipomoea bartatas ABL Convolvulaceae

Ipomoea triloba Linn. ABL Convolvulaceae

Larpotea aestuans (Linn.) Chew. ABL Urticaceae

Leptochloa caerulescens AG Poaceae

Mariscus alternifolius Vahl PS Cyperaceae

Mitracarpus villosus (SW) DC ABL Rubiaceae

Oldenladia corymbosa (Linn.)Roxb. ABL Rubiaceae

Panicum maximum Jacq. O. Ktze AG Poaceae

Paspalum obiculare Forst. AG Poaceae

Paspalum conjugatum Berg AG Poaceae

Peperomia pellucida Linn ABL Piperaceae

Phillanthus amarus Schum, et Thonn. ABL Euphorbiaceae

Platostoma africanum P. Beauv. ABL Lamiaceae

Portulaca oleracea Linn. ABL Portulaceae

Physalis angulata Linn. ABL Solanaceae

Setaria barbata (Lam.) Kunth. AG Poaceae

Setaria longiseta AG Poaceae

Senna spp. ABL Caesalpiniaceae

Synedrella nodiflora Gaertn. ABL Asteraceae

Talinum triangulare ( Jacq.) Willd. PBL Portulaceae

Tridax procumbens L. ABL Asteraceae

Waltheria indica L. PBL Sterculiaceae

Note: AG = Annual Grass; PBL = Perennial Broadleaf; PG = Perennial Grass; PS = Perennial Sedge; ABL = Annual Broadleaf

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seed rate of 6 kg ha-1 between 29 April and 13 May. All the crops were planted at 1 m away from the base of the young citrus trees. Hoe weeding was done 2 times. Data were col- lected on weed density, weed dry weight and weed flora at 3, 6 and 9 WAP with the use of two 0.5 m × 0.5 m quad- rate which were permanently placed randomly within each plot. Weeds within each quadrate were uprooted, sorted into broadleaves, grasses and sedges, identified, counted, and recorded to compute weed density. The weeds were then oven dried for 48 hours at 80°C and weighed to com- pute weed dry weight. Data on weed density and weed dry weight were subjected to analysis of variance using Gen- stat package while ecological analysis of the weed flora was carried out to determine the weeds relative frequencies.

Results

Relative frequencies of weeds

A total of 42 weed species belonging to 19 families were encountered in the course of this study (Tab. 1). Poaceae family had 10 species, Amaranthaceae and Asteraceae had 4 each, Euphorbiaceae 3, Commelinaceae, Convolvulaceae, Cyperaceae, Fabaceae, Portulaceae and Rubiaceae had 2 each while Caesalpinaceae, Cleomaceae, Lamiaceae, Pip- eraceae, Tiliaceae, Solanaceae, Sterculiaceae Urticaceae and Nyctaginaceae had 1 species each. There were 30 broadleaf weed species, 10 grasses and 2 sedges. At 6 WAP, citrus/

Corchorus plot had the highest number of weed species (19) followed by groundnut plot (17), citrus plots inter-

Tab. 2. Weed relative frequencies (%) in young citrus trees intercropped with arable crops 6 WAP at NIHORT, Ibadan, Nigeria

Weed species Relative frequency (%) 6 WAP

MA CU SP CO LG GA MU GN C

Acroceras zizanoides Dandy - - - 0.46 - - - - -

Ageratum conyzoides L. 0.46 0.92 0.46 0.92 0.46 0.46 - 0.46 0.46

Alternanthera sessilis 0.92 0.46 0.92 0.46 0.46 - - 0.92 0.46

Amaranthus viridus - - 0.92 - 0.46 1.38 0.46 0.46 -

Aspilia africana (Pers.) c. Adams - - - - - 0.46 - - -

Axonopus compressus (Sw.) P. Beauv. - 0.46 - - 0.46 - - - -

Boerhavia diffusa L. - - - 0.46 - 0.46 - - -

Centrosema pubescens Benth. - -

Commelina benghalensis L. 0.92 0.46 0.46 - - 0.46 - 0.46 1.38

Corchorus olitorious Linn. 0.92 0.46 - 0.92 0.92 - 0.92 0.46 -

Cyperus esculentus Linn. 0.46 0.92 - - - - - 0.46 0.46

Desmodium scropiurus (Sw.) Desv. 0.46 - - - - - 0.46 0.46 0.46

Euphorbia heterophylla Linn. - 0.46 0.46 - - - 0.46 0.46 -

Euphorbia hirta Linn. 0.46 0.46 - 0.46 - 0.46 0.46 - -

Gomphrena celosoides Mart. 0.92 1.38

Ipomoea triloba Linn. - 0.46 0.46 - - - - - -

Larpotea aestuans (Linn.) Chew. - - - 0.92 - 0.92 - - -

Leptochloa caerulescens Steud - - - 0.92 1.38 1.38 0.46 0.92 0.92

Mariscus alternifolius Vahl -0.46 1.38 - 0.92 0.46 0.92 1.38 1.38 1.38

Mitracarpus villosus (SW) DC - - 0.46 0.46 0.92- - - - -

Oldenladia corymbosa (Linn.)Roxb. - - - 0.46 0.92 0.92 - - -

Panicum maximum Jacq. O. Ktze - - - - - - - 0.46 -

Peperomia pellucida (L.) H. B. & K. - - - - 0.92 - - - -

Phillanthus amarus Schum, et Thonn. - - - 0.46 0.46 0.46 - - -

Portulaca oleracea Linn. - - - 0.46 - - - - -

Physalis angulata Linn. - - - 0.46 - - - - -

Senna spp. - - - - - - - 0.46 -

Setaria barbata (Lam.) Kunth. - 0.46 - 0.92 0.46 - - 1.38 0.92

Sida cordifolia Linn. - - - - - - - - 0.46

Spigelia anthelmia Linn. - 0.46 0.46 0.46 0.46 0.38 0.46 0.92 -

Synedrella nodiflora Gaertn. - - 0.92 0.46 - 0.46 - 0.46 -

Talinum triangulare ( Jacq.) Willd. 1.38 1.38 1.38 0.92 0.92 0.46 0.46 1.38 1.38

Tridax procumbens L. 1.38 1.38 1.38 0.92 0.92 1.38 1.38 0.92 0.92

Total number of weed species 11 15 11 19 15 15 10 17 11

Note: MA = Maize; CU = Cucumber; SP = Sweet Potato; CO = Corchorus; LG = Large Green; GA = Grain Amaranth; MU = Mucuna pruriens var. utilis;

GN = Groundnut; C = Control

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recorded 16 weed species each, citrus/maize had 15 weed species, citrus/sweet potato and citrus/Mucuna plots had 14 weed species each, citrus/large green and citrus/

groundnut plots recorded 12 weed species each while the control plot followed the same trend as in 6 WAP (Tab.

3). The relative frequencies of weeds in all the plots were less than 4% at both 6 and 9 WAP (Tab. 2 and 3) and at 9 WAP, three weed species: G. celosoides, O. corymbosa and T. procumbens appeared in all the plots. Tridax procumbens had a consistent relative frequency of 2.34% in all the plots except in maize plot (0.78%) as shown in Tab. 3.

cropped with cucumber, large green and grain amaranth had 15 weed species each, citrus/maize, citrus/sweet po- tato and control plots had 11 weed species each while cit- rus/Mucuna plot had 10 (Tab. 2). Two weed species: Ta- linum triangulare and Tridax procumbens associated with all the crops. Whereas T. triangulare had a consistent rela- tive frequency of 1.38% in citrus/maize, citrus/cucumber, citrus/sweet potato, citrus/groundnut and control plots, T. procumbens had the same trend in citrus/maize, citrus/

cucumber, citrus/sweet potato, citrus/large green and cit- rus/grain amaranth plots at 6 WAP (Tab. 2). At 9 WAP, citrus plots intercropped with large green and cucumber

Tab. 3. Weed Relative Frequencies (%) in young citrus trees intercropped with arable crops 9 WAP at NIHORT, Ibadan, Nigeria

Weed species Relative Frequency (%) 9 WAP

MA CU SP CO LG GA MU GN C

Acroceras zizanoides Dandy - 0.78 - - - - - - -

Ageratum conyzoides L. 0.78 0.78 - 2.34 2.34 0.78 2.34 - 0.78

Alternanthera sessilis (L.) R. ex Roth - 1.56 1.56 - 1.56 - 1.56 0.78 1.56

Amaranthus viridus 0.78 0.78 0.78 - - - - - -

Aspilia africana (Pers.) c. Adams - 0.78 - - - - - - -

Boerhavia diffusa L. - - 0.78 - 0.78 - 0.78 0.78 -

Celosia laxa Schum and Thonn. - - 0.78 - - - - - -

Centrosema pubescens Benth. - - - - - 0.78 - - -

Cleome viscossa L. - - - - 0.78 0.78 - - -

Commelina benghalensis L. - - - 0.78 - - - - -

Commelina erecta L. - - - - - - - 0.78 -

Corchorus olitorious L. 0.78 0.78 - 0.78 1.56 0.78 0.78 - -

Cyperus esculentus Linn. 0.78 - 0.78 - - 1.56 - 0.78 1.56

Cynodon dactylon (Linn.) Pers. - 0.78 - - 0.78 - 0.78 - 0.78

Desmodium scropiurus (Sw.) Desv. - - - - 0.78 - - - -

Digitaria horizontalis Willd - 0.78 - - - - 0.78 - -

Euphorbia heterophylla L. - 0.78 - - - - - - -

Gomphrena celosoides Mart. 0.78 0.78 1.56 2.34 0.78 2.34 2.34 1.56 0.78

Ipomoea bartatas - - - - - - - - 0.78

Ipomoea triloba Linn. - - 0.78 - - - - - -

Lapartea aestuans (Linn.) Chew. 0.78 - 0.78 - 0.78 - - - 0.78

Leptochloa caerulescens Steud. 0.78 0.78 0.78 - - - - - -

Mariscus alternifolius Vahl 0.78 1.56 0.78 0.78 0.78 - 1.56 - -

Mitracarpus villosus (SW) DC 0.78 2.34 - 1.56 1.56 0.78 - - -

Oldenladia corymbosa (Linn.)Roxb. 0.78 1.56 0.78 2.34 0.78 1.56 0.78 0.78 0.78

Panicum maximum Jacq. O. Ktze - - - - - - 0.78 - -

Paspalum obiculare Forst. - - - - - - - - 0.78

Paspalum conjugatum Berg. 0.78 - - - - - - - -

Peperomia pellucida (L.) H. B. & K. 0.78 - - - - - - - -

Phillanthus amarus Schum, et Thonn. - - - - - 0.78 - - -

Platostoma africanum P. Beauv. - - - - - - - 0.78 -

Portulaca oleracea Linn. - - - - - - - 0.78 -

Physalis angulata Linn. - - - - 0.78 - - - -

Setaria barbata (Lam.) Kunth. 0.78 0.78 - - 1.56 - - 0.78 0.78

Setaria longiseta P. Beauv. - - - 0.78 - - 0.78 - -

Synedrella nodiflora Gaertn. - - 0.78 0.78 0.78 1.56 1.56 - -

Talinum triangulare ( Jacq.) Willd. 0.78 - 1.56 - - 0.78 1.56 0.78 1.56

Tridax procumbens L. 0.78 2.34 2.34 2.34 2.34 2.34 2.34 2.34 2.34

Waltheria indica Linn. - - - - - - - 0.78 -

Total number of weed species 15 16 14 10 16 12 14 12 11

Note: MA = Maize; CU = Cucumber; SP = Sweet Potato; CO = Corchorus; LG = Large Green; GA = Grain Amaranth; MU = Mucuna pruriens (var. utilis);

GN = Groundnut; C = Control

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statistically significant. At 6 WAP, significantly lower grass weed densities were produced in citrus plots containing Mucuna and sweet potato (0.33 m-2 each) than the con- trol plot (11.33 m-2) and at 9 WAP, while citrus/cucum- ber plot produced grass weed density that was at par with control plot (3.00 m-2), citrus/grain amaranth plot had no grass weed recorded.

Sedge weed density

Sedge weed density was not significant in all the peri- ods of enumeration however, at 3 WAP, citrus/grain ama- ranth plot produced the lowest sedge weed density (1.67 weeds m-2) while the highest was obtained in cucumber plot (9.00 weeds m-2) (Tab. 4). At 6 WAP, citrus/sweet potato plot had no sedge weed at all while the control plot produced the highest (18.00 weeds m-2) and at 9 WAP, cit- rus/Corchorus plot produced the lowest sedge weed den- sity (0.33 weeds m-2) and the highest value was obtained in the citrus plot containing grain/amaranth (5.00 weeds m-2).

Broadleaf weed density

Broadleaf weed density was not significantly affected at 3 WAP (Tab. 4), however, at 6 WAP, significantly lower broadleaf weed densities were obtained in citrus/sweet potato, citrus/large green, control (sole citrus) and citrus/

cucumber plots (28.67, 45.00, 50.00 and 76.33 weeds m-2 respectively). All these were significantly higher than what was obtained in citrus/groundnut plot (143.00 weeds m-2).

Citrus plots containing cucumber (20.67 weeds m-2) and sweet potato (21.00 weeds m-2) produced lower broadleaf weed densities at 9 WAP compared to control plot (26.33 weeds m-2), however, this effect was not significant.

Grass weed density

Grass weed density was generally low in all the citrus plots planted to these arable crops at all the periods of enumeration (Tab. 4). At 3 WAP, citrus/cucumber plot produced the lowest grass weed density (3.00 weeds m-2) while citrus/maize plot produced the highest grass weed density (15.67 weeds m-2) however, these means were not

Tab. 4. Effect of intercropping young citrus trees with arable crops on weed density (no m-2) at NIHORT, Nigeria Weed density (no m-2)

Treatments Broadleaf weeds Grass weeds Sedges

3 WAP 6 WAP 9 WAP 3 WAP 6 WAP 9 WAP 3 WAP 6 WAP 9 WAP

Citrus/MA 64.00 96.67ab 87.00 15.67 3.33bc 1.67 5.00 4.00 4.33

Citrus/GN 90.00 143.00a 36.67 10.67 8.00ab 0.33 4.52 13.33 1.33

Citrus/CU 75.33 76.33b 20.67 3.00 1.33bc 3.00 9.00 2.33 4.33

Citrus/LG 98.33 45.00b 103.00 10.00 4.33abc 2.00 5.67 0.67 1.67

Citrus/SP 93.67 28.67b 21.00 8.00 0.33c 2.33 2.67 0.00 1.67

Citrus/GA 135.67 168.68ab 49.67 13.67 4.67abc 0.00 1.67 17.67 5.00

Citrus/MU 59.67 86.00ab 46.33 11.33 0.33c 2.67 4.33 1.33 1.33

Citrus/CO 103.33 104.33ab 25.67 13.00 7.33abc 0.67 3.33 10.33 0.33

Control 90.00 50.00b 26.33 10.67 11.33a 3.00 4.52 18.00 2.33

S.E.D. 33.86 60.00 35.01 8.36 3.15 1.85 3.88 7.98 2.32

ns ns ns ns ns ns ns

Note: MA = Maize; SP = Sweet Potato; GN = Groundnut; GA = Grain Amaranth; CU = Cucumber; Mucunapruriens (var. utilis); LG = Large Green Corchorusolitorius;

WAP = Weeks after planting

Tab. 5. Effect of intercropping young citrus trees with arable crops on weed dry weight (g m-2) in NIHORT, Ibadan, Nigeria Weed dry weight (g m-2)

Treatments Broadleaf weeds Grass weeds Sedges

3 WAP 6 WAP 9 WAP 3 WAP 6 WAP 9 WAP 3 WAP 6 WAP

Citrus/MA 92.98ab 44.44bc 64.58 76.74a 3.57 4.17 10.71 6.22b

Citrus/GN 83.08ab 123.25a 58.80 17.40ab 44.56 0.82 7.72 60.64ab

Citrus/CU 119.18a 72.57ab 77.39 7.62b 0.00 4.29 23.98 2.60b

Citrus/LG 72.12ab 16.51c 66.86 4.84b 7.22 6.15 5.29 1.55b

Citrus/SP 85.52ab 34.82bc 28.44 18.22ab 0.00 0.85 7.51 0.00b

Citrus/GA 45.72b 70.70ab 48.47 1.68b 1.53 0.00 0.00 2.02b

Citrus/MU 126.47a 52.83b 37.06 3.14b 0.14 3.20 5.27 0.73b

Citrus/CO 37.59b 53.36b 30.02 9.56b 3.59 1.07 1.63 4.86b

Control 83.08ab 62.26b 18.77 17.40ab 27.53 0.00 7.77 64.63a

S.E.D. 28.21 37.91 26.95 25.52 7.10 2.81 10.04 26.06

ns ns ns ns

Note: MA = Maize; SP = Sweet Potato; GN = Groundnut; GA = Grain Amaranth; CU = Cucumber Mucunapruriens (var. utilis); LG = Large Green Corchorusolitorius;

WAP = Weeks after planting

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in the citrus plots containing sweet potato and M. pruriens var utilis than that obtained in the control plot. Similarly, both citrus/Mucuna and citrus/sweet potato plots pro- duced significantly lower grass weed dry weight than the control plot at 6 WAP. This result agrees with the earlier reports of Jodha (1979) and George and Jeruto (2010).

References

Adewale JA, Oladosu LO, Laogun EA (1996). Factors limiting fruit tree production in South Western Nigeria: Implication for extension strategy. Proceeding of 14th Annual Conference of Horticultural Society of Nigeria (HORTSON) 1st-4th April 1994, 200-204 p.

Aiyelaagbe IOO (2001). Productivity of an intercropped sweet orange orchard in Nigeria. Biol Agric Hortic 18:317-325 Bekunda M (1999). Farmers Responses to Soil Fertility Decline

in Banana-based cropping Systems in Uganda. Managing Africa’s Soils No. 4 Russel Publishers No Hingham, 2 p.

Bekunda M, Woomer PL (1996). Organic Resources Management in Banana-based cropping systems of the Lake Victoria Basin, Uganda. Agric, Eco Environ 59(3):171-180.

Clark E, Francis CA (1985). Transgressive yielding bean; maize intercrops interference in time and space Field Crops Res 11:37-53.

Florida Citrus Agriculture in the Classroom (2004). http: www.

floridajuice.com/pdfs/teachers guide pdf.

George O, Jeruto P (2010). Sustainable horticultural crop production through intercropping: The case of fruits and vegetable crops: A review. Agric Biol J N Am 1(5):1098- 1105.

Jodha NS (1979). Intercropping in traditional farming systems.

Proc. Intl. Workshop on intercropping 10-13 Jan 1979 Hyderabad, India.

Natarajaa M, Nairk DM (1992). Competitive effects of short duration, bush type cowpea when intercropped with cotton in Zimbabwe. Expt Agric 28:41-48.

National Horticultural Research Institute (2000). 25 years of research into horticultural crops development in Nigeria (1975-2000), 140 p. In: Denton OA, Alasiri KO, Adejoro MA (Eds.). 25th Anniversary Commemoration Book.

Okigbo BN (1979). Evaluation for plant interactions and productivity in complex mixtures as a basis for improved cropping systems design, p. 350-356. In: Proc. Intl. Workshop on intercropping 10-13 Hyderbad, India.

Oyedele OO, Odeleye OMO, Olorunmaiye PM, Adebayo SO, Olaniyan AA, Alamu OO, Bamimore KM, Onyegbula U (2011). Preliminary studies on productivity response of spice and fruit vegetable crops in citrus juvenile orchard. Paper presented at the 29th Annual Conference of Horticultural Society of Nigeria (HORTSON), 24-28 July, 2011.

Owuor C, Tenywa JS, Muwanga S, Woomer PL, Esele P (2002).

Performance of a sorghum-legume intercrops in response to row levels of nitrogen Program and extended abstracts.

Forum Working Agric Biol J N Am 1(5):1098-1105.

Broadleaf weed dry weight

The various periods of enumeration of dry weed den- sity were shown in Tab. 5. Citrus plot intercropped with Corchorus produced significantly lower dry weight (37.59 g m-2) than the citrus plots containing Mucuna (126.47 g m-2) at 3 WAP. Also significant effect was observed at 6 WAP where citrus/large green plots produced signifi- cantly lower broadleaf weed dry weight (16.15 g m-2) than citrus/groundnut plot (123.25 g m-2) while there were no significant effects at 9 WAP.

Grass weed dry weight

Grass weed dry weight was significantly lower in the citrus plots containing grain amaranth, Mucuna pruriens, large green, cucumber and Corchorus (1.68, 3.14, 4.84, 7.62 and 9.56 g m-2 respectively) than citrus/maize inter- crop (76.74 g m-2) at 3 WAP (Tab. 5). Citrus/cucumber and citrus/sweet potato plots at 6 WAP and citrus/grain amaranth and control plots at 9 WAP recorded 0.0g m-2 grass weed dry weight compared to citrus/groundnut plot at 6 WAP and citrus/large green plots at 9 WAP (44.56 and 6.51 g m-2 respectively).

Sedge weed dry weight

Sedge dry weight was only significant at 6 WAP where sedge dry weights were less than 7 g m-2 in all the plots compared with control plot ( 64.63 g m-2) (Tab. 5) while there was no sedge in none of the plots at 9 WAP.

Discussion

The intercropping of young citrus trees with arable crops presented variable effects on weed parameters. The experimental site was infested with three different types of weeds which were broadleaf weeds, grass weeds and sedges.

Broad leaf weeds comprising of 30 species accounted for 71.43% of the infestation followed by grass weed compris- ing of 10 species with 23.80% while sedges with only two species had the lowest (4.76%). This high weed incidence may be attributed to the manual weed control method em- ployed in the citrus orchard for about three years which is only effective before weeds produce flowers. In addition, the young citrus trees received moisture through drip irri- gation in the dry season which some of these weeds might have taken advantage of for growth and development. The rate of occurrence of the weed species under the various treatments was less than 5%, however, three weed species:

G. celosoides, O. corymbosa and T. procumbens associated with all the intercrops except that of maize at 9 WAP and the consistent occurrence of T. procumbens with higher relative frequency (2.34%) than the other two species is an indication of future dominance. This weed produces roots at the lower nodes and reproduces from seeds with an ef- fective seed dispersal agent which will greatly affect its density in the future. Intercropping citrus with sweet po- tato, cucumber and large green significantly reduced broa- dleaf weed density compared to citrus/groundnut plot while the same trend was observed for grass weed density

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