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SPATIAL ARRANGEMENT AND DENSITY EFFECTS

ON AN ANNUAL COTTON/COWPEA/MAIZE INTERCROP.

Ii. YIELD AND BIOMASS'

FRANCISCO BEZERRA NETO2 and ROBERT H. ROBICFIAUX3

ABSTRACT - Field experiments were conducted in 1990 and 1991 in Tucson, Arizona, to examine the effects of spatial arrangement and density on yield and biomass of an annual cotton/cowpea/maize intercrop. In lhe 1990 experirnent, treatments were combined inan unconfounded 4 x 4 factorial, which consisted offour spatial arrangements ofcotton, cowpea, and maize crossed with four cowpea/maize densities. in the 1991 experiment, treatments were combined in an unconfounded 5 x 2 + 1 factorial, which consisted ofílve densities ofcotton crossed with two densities of cowpea and maize, plus one additional treatment. The results ofthese cxperiments indicate that component-crop yield and biomass in an annual cotton/cowpeaimaize intercrop can be significantiy affected by lhe manipulation ofspatial arrangement and density as management factors. The most appropriate arrangements and densities in particular circumstances deperid on either lhe combined intercrop yield and biomass or Lhe yield and biomass of a specific component crop that is more highly valued.

Index terms: Gossypium hirsutwn. Vigna unguiculíua, Zea inays, crop growth rate.

EFEITOS DE ARRANJO ESPACIAL E DENSIDADE DE PLANTAS NO CONSÓRCIO ALGODÃO HERBÁCEO/CAUPI/MILHO.

II, RENDIMENTO E BIOMASSA

RESUMO - Experimentos de campo foram conduzidos em Tucson, Arizona, USA, nos anos agrícolas de 1990 e 1991, visando estudar os efeitos de arranjo espacial e densidade de plantas no rendimento e na biomassa de um consórcio algodão herbáceo/caupi/milho. No experimento de 1990, estudaram-se quatro arranjos espaciais de algodão, caupi e milho, e quatro densidades de caupi e milho em um delineamento fatorial 4 x 4. No experimento de 1991, estudaram-se cinco densidades de algodão e duas densidades de caupi e milho, mais um tratamento adicional, em um delineamento fatorial 5 x 2 + 1. O rendimento e a biomassa das culturas componentes em um consórcio algodão herbáceo/caupi/ milho podem ser afetados de maneira significativa pelo manejo do arranjo espacial e da densidade de plantas. Os arranjos espaciais e as densidades de plantas mais adequadas dependem do rendimento e da biomassa total do consórcio ou do rendimento e da biomassa dc uma cultura componente especifica que tenha preço mais elevado.

Termos para indexaçio: Gossypium hirswum, Vígna ung4cul ata, Zea mays, taxa de crescimento.

Accepted for publication on January 14, 1997. INTRODUCFION

1 Eng. Agr., Ph.D., Prof. Adjunto, Esc. Sup. de Agr. de

Mos-sorá (ESAM), Dep. de Fitot., Caixa Postal 137. CEP 59625.900 Mossoró, RN.

Botanist, Ph.D., Associate Professor, University of Arizona (UofA). Dept. ofEcology & Evolutionary Biology, Arizona, USA.

In tropical regions, where small farms and labor--intensive operations predominate, fiber and food are traditionally produced by intercropping (Steiner, 1982; Gomez& Gomez, 1983; Francis, 1990; Bezerra Neto et aI., 1991). Among small farmers inthe semiazid

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1030 F. BEZERRA NETO and R.H. ROBICHAIJX

tropics ofNortheast Brazil, for example, annual cotton is commonly intercropped with food crops, such as cowpea and maize (Barreiro Neto etal., 1981; Zaifaroni & Azevedo, 1982; Morgado & Rao, 1985; Be1tro et ai., 1986). Such intercrops are important sources not only of seed yield but also of biomass, which may be used as forage for anima!s.

Spatial arrangement and density are irnportant management factors that can be manipulated lo

increase resource use in intercropping. Spatial arrangements m which the component crops alternate between rows rather than within rows oflen increase the production ofthe shorter-statured crop, typical!y the legume (Ofori & Stern, 1987). When the component crops are present in approximately equal densities, production is often determined by the more aggressive crop, usually the cereal (Willey & Osiru, 1972). Most crops become more competitive, however, as their proportionai contribution to total intercrop density increases (Willey & Osiru, 1972).

The objective of the present research was to anaiyze lhe effects of spatial arrangement and

density on yield and biomass of an annual cot-tonlcowpealmaize intercrop.

MATERIAL AND METHO[JS

Two experiments were conducted at the West Campus Agricultural Center ofthe University ofArizona in Tucson, Arizona, USA (1100 57 W longitude, 320 15' N latitude, and 726 m elevation). Soit, climatic data and cultivars for lhe two experiments are desçribed in Bezerra Neto & Robichaux (1996).

Experiment 1 analyzed the effects of spatial arrangement and cowpeafmaize density on yield and biomass of an annual cottonlcowpea/maize intercrop. The experimental design was a randomized complete block with 16 treatments and three replications. Treatments were combined in an unconfounded 4 x 4 factorial, which consisted of four spatial arrangements of cotton, cowpea, and maize (as described in Bezerra Neto & Robichaux, 1996), crossed with four cowpea/maize densities (total densities of 20,000, 30,000, 40,000, and 50,000 plants ha', with each total density consisting of 50%

cowpea and 50% maize). Cotton density was held constant at 50,000 plants ha', intercrop densities were representative ofthose used in Northeast Brazil.

Thc arca occupied by each crop, spacing, data on sowing, thinning, fertilizing, imgating, and controllingweeds and insects are described in Bezerra Neto & Robichaux (1996).

Yieid and biomass (above-ground vegetative and reproductive material) of each crop were measured in each treatment. Cotton (60 plants pIor') was picked four limes: 130-133, 141-144, 157-159, and 170-171 days afier sowing (DAS). Seed yield was calculatcd in 1 W. Cowpea and maize (12, 18, 24 and 30 plants pior' for cowpea/maize densities of 20,000, 30,000, 40,000 and 50,000 plants ha', respectively) were harvested for yield 81 and 87 DAS, and 120 DAS, respectively. Thé seeds were oven-dried aI 70°C, with yield being calculated foliowing correction to 13% moisture for cowpea and 14% moisture for maizc..

Sixty (60) days after sowing (DAS), four plants of each crop were randomly harvested from each piot, and the leaves were separated from the remaining material. Leafbiomass and total biomass were measured following oven-drying at 70°C. Total biomass was also measured at the final harvest, which was 120 DAS for cotton (ten plants pior'), 90 DAS for cowpea (six plants pIor'), and

120 DAS for maize (six plants plor').

Experiment II analyzed the effects of cotton density and cowpea/maize density on yield and biomass of an annual cotton/cowpeal maize intercrop. The experimental design was a randomized complete biock with eleven Ireatments and three replications. - Treatments were combined in an unconfounded 5 x 2 + 1 design. The 5 x 2 factorial consisted of five cotton densities (25,000,32,500, 50,000, 62,500, and 75,000 plants ha') èrossed with two cowpea/maize densities (total densities of 30,000 and 50,000 plants ha',with each total density consisting of 50% cowpea and 50% maize). The one additional treatment had a Cotton densftyof 50,000 plants ha' and a cowpealmaize densityof 50,000 plants ha'. In each treatment, the spatial arrangement consisted ofsingle rows ofcowpea and maize between single rows of cotton, which was the spatial arrangement giving the higher LER for yieid in Experiment [(Bezerra Neto & Robichaux, 1996).

The arca occupied by each crop, spacing, data on sowing, thirining, fertilizing, inigating, and controlling weeds and insects are described in Bezerra Neto & Robichaux (1996).

Yield of each crop was measured in each treatment as in Experiment 1. Cotton (30, 45, 60, 75, and 90 ptants pIor' for cotton densities of 25,000, 32,500, 50,000, 62,500, and 75,000 plants ha', respectively) was picked four limes: 124-127, 134-137, 149-152, and 161-162 DAS. Cowpca and maize (18 and 30 plants pior' for cowpca/maize densities of 30,000 and .50,000 plants ha', respectively) were harvested for yield 86 and 121 DAS, respectively.

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SPATIAL ARRANGEMENT AND DENSITY 1031 Leaf biomass and total biomass of each crop.were,

measured in each treatment 60 DAS as in Experiment 1. Total biomass was also measured at the final harvest, which was 120 DAS for cotton (ten planta pior'), 90 DAS for cowpea (six plants pior'), and 120 DAS for maize (six plants plot').

For cotton, three plants were also randomly harvested from each piot at seven-day intervais from 25-81 DAS. Total biomass was measured according to the procedures decribed in Exper ment 1,and càtton growth rate (G) was calculated for each interval as: G(B 2-B 1)/P(t-t 1), whère B=total biomass (g), P = ground area for which B was measured (m 2), and t=time(d), with the subscripts indicating the ending and beginning ofthe interval (Kvet etai., 1971).

In both experlrnents, zsartlett's test of sphericity (Norusis, 1990) was used to examine whether cotton, cowpea, and raize yields werè correlated. The resulta of the test were not significant, implying that the yields of thethrec crops were independent. Thus, the effects ofthe treatment factors on yicid and biomass were assessed with univariate, rather thari multivariate, arialyses ofvariaricc for the three crops. The data were checked with respect to the assumptions ofthe analyses according to the procedures in Bezerra Neto & Robichaux (1996). In the analyses of variance in Experiment II, the additional treatment,

in which cotton had two piants hole', was contrasted

with the treatrnent having the sarne cotton density (50,000

planta ha') and cowpealrnaize density (50,000 planta ha'), but in which cotton had one piant hoJe 1 . The lattr treatment in this contrast is denoted the special treâtment.

Pairwise multiple comparisons and least squares cur-ve-titting procedure used in the experimenta are described in Bezerra Netõ & Robjchaux (1996).

RESULTS AND D1SCUSSION Experiment 1

Spatiat arrangement had significant effects (P< 0.05 by F test) on cotton seed yield, Ieafbiornass and total biomass (60 DAS) (Table 1), and cowpealmaize density had a significant effect on cotton total biomass (120 DAS) (Fig. 1). Seed yield was higher in the spatial arrangement SR cowpea & maize between SR cotton, and leafbiomass and total biomass (60 DAS) were higher in the spatial arrangements SR cowpea & maize between SR cotton and DR cowpea & maize between DR cotton

• (Table 1). Total biomass (120 DAS) decreased with • increasing cowpea/maize density (Fig. 1). Spatial

arrangement had no significant effect (P>0.05) on cotton total biomass (120 DAS). Cowpealmaize density also had no significant effects on cotton seed yield, leafbiomass and total biomass (60 DAS).

Spatial arrangement had significant effects (P<0.05 by F test) on cowpea yieTd, leaf biomass, total biomass (60 DAS), and total biomass (90 DAS) (Table 1), and cowpealmaize density had significant effects on cowpea leaf biomass and total biomass (90 DAS) (Fig. 2). Yield, leafbiomass, total biomass (60 DAS), and total biomass (90 DAS) werehigher in the spatial arrangements SR cowpea & maize between SR cotion and DR cowpea & maize between DR cotton (Table 1). Leaf biornass and total biomass (90 DAS) increased with increasing cowpealmaize density (Fig. 2). Cowpea/maize density had no significant effect (P> 0.05) on yield and total biomass (60 DAS).

Spatial arrangement had signiflcant effects (P< 0.05 by F test) on maize yield (Table 1), and cowpea'maize density had signiflcant effects on maize yield, leaf biornass and total biomass (60 DAS) (Fig. 3). Yield was higher in the spatial arrangeinent SR cowpea-maize between SR cotton and DR cowpea-maize between DR cotton (Table 1). Yield, leafbiomass and total biomass (60 DAS) increased with increasing cowpea/maize density (Fig. 3). A significant interaction between spatial arrangement and cowpealmaize density existed for maize total biomass (120 DAS). In the interaction partition, total biomass (120 DAS) increased with increasing cowpea/maize density, but .the: nature of the relationsh ip varied among spatial arrangements (Fig. 4). Spatial arrangement had no significant effect

(P>0.05) on leafbiomass and total biomass (60 DAS).

Experiment II

Cotton density had significant effects (P< 0.05 by F test) on cotton leaf biomass and total biomass (60 DAS). Leafbioniass and total biomass (60 DAS) increased with increasing cotton density (Fig. 5). Cotton density had no significant effect (P>0.05) on yield and total biomass (120 DAS), and cowpealmaize density also had no significant effects on yield, teaf biomass, total biornass (60 DAS), and total biomass (120 DAS).

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1032 F. BEZERRA NETO and R.H. ROBICI-IAUX

TABLE 1. Effects of spatial arrangement on cotton seed yield, leaf biomaso and total biomass 4 cowpea yield, leaf biomass and total biomass, and maize yietd in Experiment 1.

Spatial Cotton Cowpea Maize

arrangemcnt2

Seed Leaf Total Yicld Lcaf Total Total Yield

yield biomass biomass biomass biomass biomass

(60 DAS) (60 DAS) (90 DAS)

SRcowpca&maize 1,17 a 0.65 a 1.58 a 0.47 a 0.043 a 0.22 a 1.12 a 2.79b

between SR cotton

DR cowpea & maize 0.98 b 0.70 a 1.68 a 0.43 a 0.044 a 0.21 a 1.05 a 2.77 b

between DR cotton SR cowpea-maize 0.93 b 0.53 b 1.23 b 0.25 b 0.036 b 0.16 b 0.74 b 3.28 a between SR coiton DR cowpea-maize 0.99 b 0.53 b 1.26 b 0.22 b 0.037 b 0,14 b 0.58 b 3.19 a betwecn DR cotton CV (%) 19.6 22.0 23.4 19.2 16.6 26.8 22.9 13.7

'Within a columo, means with differcr,t lettcrs differ significartIy at P :~ 0.05 bYDMRT. SR - single row; OR double rows.

860 13 20000 00000 400 0060 00 .2

t

O_aos 0048 OO4O 0056 0.000 0.056 Y - 0.013 + 2.215e-7x + 1.125c-1 lx' (R' - 0.999') 00008 80022 40000 60000

Cowpca/maize density (plantas ha')

Copea1maize denaily (planto ha')

FIG. 1. Regression of cotton total biomass (120 DAS)

1.06

on cowpea/maize density ia Experiment 1.

!~ 0.05. 1.00 Y - 0666+1.337;.10x

Cowpealmaize density had a significant effect i' 010

(P<0.05 by F test) on cowpea total biomass (90 DAS), j 0.66

with total biomass (90 DAS) being higheratthe higlier 1 ceo

cowpealmaize density. Mean values of total biomass (90 DAS) for cowpea/maize densities of3O,000 and

50,000 plants ha' were 0.79 and 1.00 t ha, 20M soátO 40600 60288

respectively. Cotton density had no significant CowpcWmaize density (planta ha')

effects (P>0.05) 011 yield, leafbiomass, total biomass

(60 DAS), and total biomass (90 DAS). Cowpea/maize FIG. 2. Regressions of cowpea leaf biomasa and total

density had no significant effects on yield, leaf biomass (90 DAS) on cowpeafniaize density in

biomass and total biomass (60 DAS). Experiment L P :5 0.05. "P :5 0.01.

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SPATIAL ARR.ANGEMENT AND DENSITY 1033

Y-2.071 +4.043e-5x.4.136e+81x'

o

TTT

Cowpeafmaizc density (planto ha)

Y' -0.0016 + 1.80I1.7x

(R'—O.97100)

1!

0050

20000 00000 40000

Cowpca/maize denaity (planto ha)

20000 00000 40000 60000

Copem00 density Iants ha')

FIG. 3. Regressions of maiie yield, leaf biomass and total biomaso (60 DAS) oro cowpea/maize

clero-sity in Experiment 1. P :5 0.05. P 15 0.01.

Cowpealmaize density had significant effects (P<0.05 by F test) on maize yield, leafbiomass and total biomass (120 DAS), with these parameters being higher at the higher cowpea/maize density. For cowpea/maize densities of 30,000 and 50,000 piants ha', mean values of yield were 1.47 and

1.98 t ha', of leafbiomass were 0.58 and 0.83 t ha' and of total biomass (120 DAS) were 3.89 and 5.28 t ha', respectively. Cotton density had no significant effects (P>0.05) on yield, Ieafbiomass, total biomass(60 DAS), and total biomass (120 DAS). Cowpea/maize density had no significam effect on total biomass (60 DAS).

Cotton density had significant effects (P<0.05 by F test) on cotton growth rate for the intervais 39-46, 46-53,53-60,60-67, and 67-74 DAS. For each interval, growth rate increased with increasing cotton density, aithough Lhe nature of the reiationship changed during Lhe season (Fig. 6). As Lhe season progressed, the maximai growth rate was approached at progressively lower cotton densities. Cotton density had no significam effects (P>0.05) on cotton growth rate for the intervais 25-32,32-39, and 74-81. Cowpea/maize density had no significant effects for ali Lhe intervais.

For ali three crops, there was no significant difference in any parameter between the additional treatinent and Lhe special treatment.

In this armual cotton/cowpea/maize intercrop, cotton seed yield was higher in the spatial an-angement of single rows of cowpea and maize between singie rows of cotton. This result agrees partially with that of Bezerra Neto et ai. (1991), who found that cotton seed yield in an annuai cottonIcowpea/sorgium intercrop in Northeast Brazil was higher when single rows of cowpea and sorghum alternated with single rather than doubie rows of cotton. In contrast to spatial arrangement, cowpealmaize density did not affect cotton seed yieid. l'hus, in terms of seed yield, the competitive etTect of the two food crops on cotton may have been govemed more by the spatiai configuration of Lhe intercrop than by the food-crop density.

Cotton density did not affect cotton seed yield. According to Burhan (1964), an increase in cotton density may be accompanied by a decrease in Lhe number of fiowers per plant and an increase in Lhe amount of boil shedding. These changes couid account for a reduced seed yield per plant, or yield compensation, at higher densities.

The effects of spatiai arrangement on cowpea and maize yieids differed significantly. Cowpea yield was higher in the spatial arrangements in which cowpea 1

a

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1034 F. BEZERRA NETO and R.H. ROBICHAIJX

Y -(4.940 - 9.1 45e-5x) 1(1 - 1 .902e-5x) Y - 2.791 + 0.0001 a .4 .477e-8/x

(R1 - 0.998) (R9 -0.999)

1

Cowpeafmaize density within spatial arrangement SR copea & maize bet'ween SR cotton (planta ha')

Y -7.198. 1.357e+91x 1 (R2 -0.977)

Cowpea/maize denaity within spatial arrangement DR cowpea & maize between DR cotton (plants ha')

Cowpea/maize density within spatial armngement SR cowpea-maize between SR cotton (plants ha')

0

O

Y .5.989 + 2.987-I4x - 8,413e+81x 3

(R1 - 0.999')

90000 £0609 40000 £0009

Cowpealmaize derisity within spatial arrangerent DR cowpea-maize between DR cotton (plants ha')

FIG. 4. Regressions of maize total biomass (120 DAS) on cowpea/maize density within four spatial

arrange-ments in Experiment L Notations for the spatial arrangearrange-ments are in Table 1. P :5 0.05. 'P S 0.01.

and maize were grown in separate rows, whereas maizeyield was higher in the spatial arrangements in which cowpea and maize were grown in the sarne rows. Thus, cowpea yietd was enhanced, and maize yield was reduced, under conditions of greater intraspecific competition. In contrast, maize yield was enhanced, and cowpea yield was reduced, under conditions of greater interspecific competition. The latter result may primarily reflect differences in the statures of the two crops, with the tailer maize competing much more successfully for light. Similar results have been obtained for a wide variety of le-gume/cereal intercrops (Alien & Obura, 1983; Ofori & Stem, 1987).

The effects of cowpea/maize density also differed for the two food crops. Maize yield, but not cowpea yield, increased strongly with increasing cowpea/maize density. For maize, the yield response is similar to that reported by Fawusi & Wanki (1982) for cowpealmaize intercrops. For cowpea, any positive effect ofhigher cowpea densities on yield

may have been offset by the negative effect of increased competition with maize at higher maize densities, given that the densities of lhe two food crops changed together in lhe experiments.

For ali three crops in this annual cotton/cow-pea/maize intercrop, total biomass at the final harvest varied with cowpea/maize density but not with cotton density. As cowpea/maize density increased from 20,000 to 50,000 plants hat, total biomass increased for cowpea (90 DAS) and maize (120 DAS), but decreased for cotton (120 DAS). Thus, the increase in cowpealmaize density shifted the competitive ba-lance toward the two food crops. .

Cowpea total biomass (60 and 90 DAS) was higher in lhe spatial arrangements in which cowpea and maize were grown in separate rows rather than in lhe sarne rows. In lhe latter arrangements, interspecific competition with maize was presumably greater, especially for light, with the talier cereal shading lhe shorter legume. Ofori & Stern (1987) reported similar results for a wide variety of legume/cereal intercrops.

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00 E o .0 10.0 LC 0-0 IdO < 7.0 5.0 e- 5.0 4.0 3.0 2.0 0.5 00 5.5 00 5.0 4.5 '.i'. 4.0 o '.0 35 3.0 2.5 •' 2.0 7.5 1.0 00 4, .< 50 5.5 5.c

1

00 1.1 1.0 0.9 se 0.7 0.0 3.5 3.0 IdO o 2.5 0' 2.0 4fl 1.5

SPATJAL ARRANGEMENT AND DENSITY 1035

076 •, 0.250 0.225 o 0.200 .0 0.17$ 1, 0.160 Y - 0.431 - 48.979/o" 0.126 (R' - 0.983') 0,100 20

Cotton density (plants 12a t)

0,60 046 0.40 0.05 0.00 Y'- 6.978 -9975e.5x+6332c-Io' 0_OS 50000 57600 60000 62005 76000

Coon densi (pian ha')

FIG.5. Regressions of cotton leaf biomass and total biomass (60 DAS) oH cotton density in

Experiment II. P :5 0.05. P :5 0.01.

Pattems ofbiomass production late iii the growth

cycle of a crop may differ significantly from those earlier in the 'cycle (Brown, 1984). This was particularly evident for cotton in lhe two experiments. At the final harvest, total biomass (120 DAS) was affected by cowpea/maizedensity (between 20,000 and 50,000 plants ha'), but not by spatial arrangement and cotton density. In contrast, earlier in lhe season, total biomass (60 DAS) was affected by spatial arrangement and cotton density, but not by cow-pea/maize density.

Cotton leaf biomass increased with increasing cotton density, and cowpea and maize leaf biomass increased with increasing cowpea/maize density between 20,000 and 50,000 plants ha'. Thus, for each crop, lhe pattern of leaf biomass production through 60 DAS followed lhe classical bio-massldensity relationship (Hardwick & Andrews,

1983). As discussed in Bezerra Neto (1993), the

k""

Y-17,227-0~.D~O)O~l~x-7~.l~85e+9/xI

(R.-0.99$) ,978.2.524e.5x+Í53eIx2 (R".-0983) (R 674.2.322i91x2 036228i92/x°-' (R-0.820) I.93I.019x" (R'=0.833') 25000

FIG.6. Regressions of cotton growth rate on cotton density for tive 7-day intervals iii

Experi-mentI!. P50.05. ' .'P-.~O.Ol.

relationship between leafarea index and density for each crop paralleled that for leaf biomass and density.

.O(OU'J 5U411Q 62500 75000

Cottori density (planto ha')

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1036 F. BEZERRA NETO and R.H. ROBICHAIJX

The relationship between cotton growth rate and

cotton density changed during the season, such that the maximal growth rate was approached at progressiveiy lower cotton densities. The results suggest that the effects of intraspecific competition became more pronounced at higher densities later in the season. The results are similar to those of Mayilsami & Iruthayaraj (1981), who found that cotton growth rate varied with growth stage, or days after sowing, iii cotton sole crops. As discussed in Bezerra Neto (1993), cotton density also affected cotton relative growth rate and net assimilation rate, but only from 46-53 DAS.

CONCLUSIONS

1. The component-crop yield and biomass in an

annual cotton/cowpealmaize intercrop can be

signiíicantly affected by the manipulation ofspatial arrangement and density as management factors.

2. The most appropriate arrangements and densities in particular circumstances depends on either the combined intercrop yield and biomass or yield and biomass of a specific component crop that is more highly valued.

REFERENCES

ALLEN, J.R.; OBURA, R.K. Yield ofcorn, cowpca, and soybean under different intercropping systems.

Agronomy Journal, Madison, v.75, p.I 005-1009 ,

1983.

BARREIRO NETO, M.; CARVALHO, L.P. de; SILVA, M.C. da; LEMOS, M.A. Avaliação de dois siste-mas de consorciaço em algodoeiro herbáceo

(Gossypium hirsulum L.) no Estado de Alagoas. Campina Grande: Embrapa-CNPA, 1981. 6p. (Embrapa-CNPA. Comunicado Técnico, 2). BELTRÃO, N.E. de M.; NÓBREGA, L.B. da;

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America, 1984. p.I53-173.

BURHAN, H.O. The effect of plant density on tbe growth, yield, and quality ot upland cotton.

Tucson, Arizona: University of Arizona, 1964. 1 24p. Ph.D. Dissertation.

FAWUSI, MOA; WANKI, S.B.C. Plant density effects on growih, yield, leaf arca index, and lighttransmission in intercropped maize and Vigna unguiculata (L.) WaIp. in Nigeria. Journal of Agricultural Science,

Cambridge, v.99, p.19-23, 1982.

FRANCIS, C.A. Potential ofmultiple cropping systems. In: ALTIERI, M.A.; HECHT, S.B. (Eds.). Agroecology and amail farm development. Boca Raton, Florida: CRC Press, 1990. p.137-I50. GOMEZ, A.A.; GOMEZ,.H.A. (Eds.). Multiple

cropping in the humid tropica of Asia. Ottawa,

Canada: IDRC, 1983. 248p.

HARDWECK, R.C.; ANDREWS, D.J. A simple model of the relationship between plant density, plant

biomass, and time. Journal ofApplied Ecology,

Oxford, v.20, p.905-914, 1983.

KVET, J.; ONDONK, J.P.; NECAS, J.; JARVIS, P.G.

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