Agronomic performance of the cowpea under different irrigation depths and row spacing¹

Desempenho agronômico do feijão-caupi sob diferentes lâminas de irrigação e espaçamentos entre fileiras

ABSTRACT

The cowpea is of great socioeconomic importance in the North, Northeast and Mid-West of Brazil, and its irrigated farming has recently been on the increase in these regions. The aim of this study was to evaluate the agronomic performance of the cowpea 'BRS Tumucumaque' for different row spacings and irrigation depths, under the conditions of soil and climate of Teresina, in the State of Piauí. The experiment was carried out from August to November 2014, in a Yellow Argisol at the Experimental Area of Embrapa Meio-Norte in Teresina. The experimental design was of randomised blocks in subdivided lots, with four replications. The treatments consisted of five irrigation depths (40% ETo, 70% ETo, 100% ETo, 130% ETo and 160% ETo) in the main plot, and four spacings between rows (0.36 m, 0.45 m, 0.60 m and 0.90 m) in the sub-lots. Leaf area index, pod length, number of grains per pod, number of pods per plant and grain productivity were evaluated. There was significant interaction (. <0.01) between irrigation depth and row spacing for grain productivity only. There was a significant increasing linear effect (. <0.01) from irrigation depth on pod length, number of pods per plant and number of grains per pod. The larger irrigation depths at the smaller row spacings give the greatest grain productivity. With leaf area index, there was a significant effect from irrigation depth and row spacing for the periods under evaluation.

Key words:
Vigna unguiculata; Grain yield; Irrigation management; Plant density; BRS Tumucumaque

RESUMO

O feijão-caupi possui grande importância socioeconômica nas regiões Norte, Nordeste e Centro-Oeste do Brasil e o seu cultivo irrigado tem crescido ultimamente nessas regiões. Objetivou-se avaliar o desempenho agronômico do feijão-caupi, cv. BRS Tumucumaque, em função de diferentes espaçamentos entre fileiras e lâminas de irrigação nas condições edafoclimáticas de Teresina, Piauí. O experimento foi conduzido no Campo Experimental da Embrapa Meio-Norte, em Teresina, entre agosto e novembro de 2014, em um Argissolo Amarelo. O delineamento experimental foi o de blocos casualizados em parcelas subdivididas, com quatro repetições. Os tratamentos foram compostos por cinco lâminas de irrigação (40% ETo; 70% ETo; 100% ETo; 130% ETo e 160% ETo) na parcela principal e quatro espaçamentos entre fileiras de plantas (0,36 m; 0,45 m; 0,60 m e 0,90 m) nas subparcelas. Avaliaram-se o índice de área foliar, comprimento de vagem, número de grãos por vagem, número de vagens por planta e produtividade de grãos. Houve interação significativa (. <0,01) entre as lâminas de irrigação e os espaçamentos entre fileiras de plantas somente para produtividade de grãos. Houve efeito significativo (. <0,01) das lâminas para o comprimento de vagem, número de vagens por planta e número de grãos por vagem, apresentando efeito linear crescente. As maiores lâminas de irrigação associadas aos menores espaçamentos entre fileiras proporcionam as maiores produtividades de grãos. Para o índice de área foliar, houve efeito significativo das lâminas de irrigação e dos espaçamentos entre fileiras para as épocas avaliadas.

Palavras-chave:
Vigna unguiculata; Produtividade de grãos; Manejo de irrigação; Densidade de plantas; BRS Tumucumaque

INTRODUCTION

Cultivation of the cowpea in the north and northeast of Brazil is one of the principal socioeconomic alternatives in the supply of food and generation of employment, due to its high nutritional value and low production costs, as well as helping to keep people working on the farms.

Despite its great importance, the average productivity of cowpea grain in these regions is still very low, due to the poor use of technology and the water deficit caused by bad rainfall distribution. According to Shao et al. (2008), water deficit is currently the most important problem for agriculture, and understanding the responses to this stress is of great importance in the development of strategies that would allow an improvement in the productivity of agricultural crops (CATTIVELLI et al., 2008; JALEEL et al., 2009).

A water deficit affects the productive capacity of plants, and as the intensity of the deficit increases, various metabolic changes occur (RIBEIRO et al., 2008) which result in the loss of leaves (SANTANA; SOUTO, 2008). Other aspects related to water stress include a reduction in the uptake of mineral nutrients (GONZALEZ-DUGO; DURAND; GASTAL, 2010) and reduced plant growth (BENGOUGH et al., 2011; SHAO et al., 2008).

Irrigation is one of the principal technologies for reducing the damage caused by water deficit. Various studies have shown that the cowpea is responsive to irrigation (ANDRADE JÚNIOR et al., 2014; AZEVEDO et al., 2011; LOCATELLI et al., 2014; OLIVEIRA et al., 2011; TAGLIAFERRE et al., 2013). However, research into irrigation depth is necessary in order to suggest a system of rational water management with a view to optimising grain production.

In addition to irrigation, other factors can influence productive potential in the cowpea, especially plant population, as this has a marked influence on several characteristics of morphophysiology and grain yield (BEZERRA et al., 2009).

According to Cardoso, Melo and Lima (2005), the lack or excess of plants in an area is one of the causes of low productivity of the cowpea in Brazil. For any crop, defining the optimal row spacing is essential for increasing productivity. However, the best arrangement of plants depends on the intrinsic characteristics of each variety, such as size, growth habit and plant architecture, as well as on the system of crop management.

Studies into combining row spacing with different levels of irrigation are of great importance for raising grain production in this crop. However, for the cowpea, no articles on this subject were found in the literature. Incidentally, the effect of row spacing together with plant density has been evaluated (BEZERRA et al., 2009; CARDOSO; RIBEIRO, 2006) without a variation in irrigation depth being considered. Furthermore, the binomial relation of irrigation and row spacing has been little studied in other crops, a noteworthy exception being the work of Batista et al. (2008) with the watermelon. This research therefore is innovative in character, and useful for a more technical system of irrigation management in the cowpea, promoting the rationalisation of water use and of agricultural inputs, as well as an increase in grain productivity.

To this effect, the aim of this work was to evaluate the effect of different irrigation depths together with different row spacings on the agronomic characteristics of the cowpea 'BRS Tumucumaque', under the conditions of soil and climate of Teresina, in the State of Piauí (PI).

MATERIAL AND METHODS

The experiment was carried out from August to November 2014, at the Experimental Area of Embrapa Meio-Norte, in Teresina, Piauí (05°05'S, 42°48'W, at an altitude of 74.4 m). The climate in the area according to the Thornthwaite and Mather classification (1955) is C1sA'a', characterised as dry, sub-humid megathermic, with moderate a water surplus during the summer. The average annual relative humidity and rainfall are 72.6% and 1,343.3 mm respectively, with the main part of the rainfall concentrated from January to April (BASTOS; ANDRADE JÚNIOR, 2014). The soil of the experimental area is a eutrophic Yellow Argisol (MELO; ANDRADE JÚNIOR; PESSOA, 2014) of a sandy-loam texture, whose physical and hydraulic characteristics are described in Table 1.

Table 1
Physical and hydraulic characteristics of the soil in the experimental area of Embrapa

Depth (m)	Granulometry (g kg-1)				(% volume)
	Course sand	Fine sand	Silt	Clay	FC	PWP bd
0.0 - 0.2	451.8	190.4	164.5	193.3	22.0	9.3 1.4
0.2 - 0.4	471.3	180.2	168.0	178.7	20.8	11.0 1.2

^-3

In relation to the chemical characteristics at a depth of 0 to 0.2 m, the following are noteworthy: organic matter 7.7 g kg^-1, pH 6.1, base saturation 66.8%, Pb content 34.8 mg dm^-3, and levels of K⁺, Na⁺, Ca²⁺, Mg^2+, Al³⁺, H⁺+Al³⁺ e CTC equal to 0.2, 0.04, 2.2, 0.5, 0.05, 1.4 and 4.5 cmol_c dm^-3 respectively.

The soil was prepared by cutting, ploughing and one harrowing to level the ground. Base fertilisation consisted of the application of 40 kg P₂O₅ ha^-1 (single superphosphate) and 40 kg of K₂O ha^-1 (potassium chloride). Twenty days after seedling emergence, 20 kg N ha^-1 (urea) were applied as cover fertiliser, as the soil is sandy with less than 10 g kg^-1 organic matter (EMBRAPA, 2003).

Sowing took place on 27 and 28 August 2014, in furrows at different spacings depending on the treatments. Thinning was carried out 15 days after sowing, leaving 120 plants in the working area of each sub-lot. To maintain this number, it was necessary to establish a different number of rows in each working area (Table 2), since at the larger spacings there were more plants per row, and at the smaller spacings there were fewer plants per row. The desired plant population was established at 166,000 plants per hectare, which proved to be adequate for semi-erect cultivars.

Table 2
Row spacing and number of plants per working area of the cowpea ‘BRS Tumucumaque'

Spacing between rows (m)	No. of rows per working area	No. of plants per working area	Nº. of plants per metre	SWR (m)
0.36	5	120	6	0.166
0.45	4	120	7.5	0.133
0.60	3	120	10	0.100
0.90	2	120	15	0.066

• SWR - Plants spacing within a row

The soil water content was monitored in 0.1 m layers to a depth of 0.7 m by means of a Diviner 2000(r) capacitor probe, with 20 PVC access tubes (four in each irrigation regime) having been installed at 15 days after sowing.

The irrigation system consisted of fixed conventional sprinklers with a flow of around 1.6 m³ h^-1 spaced 12 x 12 m apart. To quantify the irrigation depth collected in each regime (%ETo), 16 collectors were installed, each located between four sprinklers at a spacing of 3.0 x 3.0 m, giving a total of 80 collectors in the experimental area. Before the various irrigation depths were applied, irrigation management was based on the Kc of the cowpea crop, adapted from Bastos et al. (2008), and on the values for reference evapotranspiration (ETo) ​​estimated by the Penman-Monteith method (ALLEN et al., 1998) with climate data obtained from the automatic agricultural weather station of Embrapa Meio-Norte, located 1000 m from the experimental area. The different irrigation depths were applied from 35 days after sowing, and irrigation management was carried out according to the variation in ETo as a function of the pre-defined depths.

The treatments consisted of four row spacings: S1 - 0.36 m, S2 - 0.45 m, S3 - 0.60 m and S4 - 0.90 m, and five levels of irrigation: I1 - 40%, I2 - 70%, I3 - 100%, I4 - 130% and I5 - 160% of the ETo. The experimental design was of randomised blocks with four replications. The irrigation depths comprised the plots, with the row spacings comprising the sub-lots.

The following were evaluated:

1. pod length: 10 pods randomly chosen in the working area of the plot;

2. number of pods per plant: ratio between the total number of pods and the stand;

3. number of grains per pod: average of the grain counted in10 pods.

   Grain weight was corrected for a moisture content of 13%, and the actual grain productivity (kg ha^-1) and the corrected grain productivity (kg ha^-1) were then calculated as per equations 1 and 2 respectively.

   (1) ${\mathit{PRODG}}_{\mathit{atual}}=\frac{10}{7,2}*\mathit{GW}$

   where: PRODG_actual: actual grain productivity (kg ha^-1); 10: used for converting g into kg; 7.2: working area of the plot (m²); GW: grain weight (g).

   (2) ${\mathit{PRODG}}_{\mathit{corrected}}=\frac{\left(100-{\mathit{M}}_{\mathit{actual}}\right)*\mathit{ProdG}}{\left(100-13\right)}$

   where: PRODG_corrected: corrected grain productivity (kg ha^-1); PRODG: actual grain productivity (kg ha^-1); M_atual: initial moisture found in the grain at harvest (%); 13: corresponds to the desired humidity of 13%.

4. leaf area index: determined weekly, immediately after applying the different treatments, from 43 to 64 days after sowing, giving a total of four readings. Two readings were taken in each sub-lot, at the centre of the working area, using the LAI-2000 portable equipment; an average value was then estimated.

The data were submitted to analysis of variance using the ASSISTAT 7.6 beta statistical software, and the means compared by the Tukey's test. The Table Curve (2D) software was used to find the regression coefficients of the agronomic characteristics. The coefficients found were organised into Excel spreadsheets and plotted as graphs.

RESULTS AND DISCUSSION

Application of the 40, 70, 100, 130 and 160% fractions of the ETo during the crop cycle resulted in the following total irrigation depths: 198.5 mm (I1); 243.0 mm (I2); 271.3 mm (I3); 305.4 mm (I4) and 376.4 mm (I5) respectively.

From 35 DAS, with the application of the five imposed irrigation depths, it was possible to see a difference in soil moisture between the treatments, which varied between 7%, imposed with the smallest irrigation depth, and below the lower limit of water availability, i.e. below the permanent wilting point (9%), and 28%, imposed by the treatment of the greatest irrigation depth, which remained above field capacity (22%) (Figure 1).

Figure 1
Variation in soil water content at a depth of 0.00 - 0.20 m, from 36 to 65 days after sowing (DAS) in the cowpea for applied irrigation depth. FC - field capacity; CM - critical moisture and PWP - permanent wilting point (%volume)

Differences in the levels of water deficit were found. It can be seen that for the smallest irrigation depths (40% and 70%), almost 100% of the water in the soil was depleted during the period when the different depths were applied, indicating a severe water deficit. Only the treatments where 130% and 160% were replaced gave a soil moisture content above critical moisture (15%), noting that the greatest irrigation depth resulted in excess moisture, as it presented values ​​above field capacity (21%) from 47 days after sowing.

Table 3 shows a summary of the analysis of variance and the respective coefficients of variation for pod length (PL, cm), number of pods per plant (NPP), number of grains per pod (NGP) and grain productivity (GP , Kg ha^-1).

Table 3
Summary of the analysis of variance and coefficients of variation for pod length (PL, cm), number of pods per plant (NPP), number of grains per pod (NGP) and grain productivity (GP, kg ha^-1), in the BRS Tumucumaque cultivar for five irrigation depths and four row spacings

Mean Square
SV	DF	PL	NPP	NGP	GP
Blocks	3	1.01ns	3.64ns	2.60*	347449.46**
Irrigation Depth (a)	4	10.62**	46.28**	22.48**	4212229.75**
Residual (a)	12	0.48	1.42	0.46	51123.43
Spacing (b)	3	0.66ns	0.53ns	0.35ns	254551.28**
Interraction Ta x Tb	12	0.83ns	1.71ns	0.71ns	115695.87**
Residual (b)	45	0.76	1.09	1.53	38339.36
CV (%) (a)	-	3.49	28.91	5.29	23.82
CV (%) (b)	-	4.40	25.47	9.67	20.63

• ^{*, ** and ns}
  significant at 5% and 1%, and not significant respectively by F-test

Only grain productivity showed a statistical influence from the interaction between irrigation depth and row spacing (b ≤ 0.01). The irrigation depth influenced all the agronomic characteristics under evaluation, while the row spacing significantly affected only grain yield (. ≤ 0.01), as shown in Table 3. All the production components displayed a linear response to irrigation depth. The lower values ​​were obtained in treatments with the smaller irrigation depths, as a result of the water deficit causing the closure of stomata, and consequently reducing the production of photoassimilates, and impairing plant growth and development. On the other hand, the increasing linear response indicates that the cowpea is highly responsive to irrigation, agreeing with results obtained by Andrade Júnior et al. (2014), Azevedo et al. (2011) and Oliveira et al. (2011).

With the mean values seen for pod length as a function of irrigation depth (Figure 2), it was found that this variable fitted an increasing linear function in the BRS Tumucumaque cultivar, reaching a maximum value of 20.5 cm, very close to the mean pod length for this cultivar, which is 21 cm, according to Freire Filho et al. (2009).

Figure 2
Pod length for total irrigation depth in the cowpea BRS Tumucumaque

Analysing the number of pods per plant, a positive linear response was found as a function of the applied irrigation depths, where the maximum value was 8.3 (Figure 3). Similar results were obtained by Locatelli et al. (2014), who evaluated performance in the cowpea under five irrigation depths, grown on straw in a Yellow Latosol, in Boa Vista in the State of Roraima. Those authors found a significant effect from irrigation depth, with a maximum value of around 12.4, 11.08 and 9.5 for the BRS Novaera, BRS Pajeú and BRS Guariba cultivars respectively. Tagliaferre et al. (2013) found a similar effect from water deficit on plant growth and development (SANTANA; SOUTO, 2011; SHAO et al., 2008), with a reduced number of pods per plant. The increasing linear trend shows that the cowpea is responsive to irrigation.

Figure 3
Number of pods per plant for total irrigation depth in the cowpea BRS Tumucumaque

There was an increasing linear effect from irrigation depth for the number of grains per pod. The values found ranged from 11.3 to 15.4 (Figure 4). Lower values were obtained by Locatelli et al. (2014), who saw a significant effect from irrigation depth in the BRS Pajeú, BRS Guariba and BRS Novaera cultivars, obtaining maximum values for NGP of 13.8, 12.3 and 7.96 respectively. The different varieties, as well as the conditions of soil and climate, may explain these differences. Tagliaferre et al. (2013) obtained a significant effect for NGP, with a maximum value of 11.96; results that differ from those found in this study.

Figure 4
Number of grains per pod for total irrigation depth in the cowpea BRS Tumucumaque

Figure 5 shows the effect of the interaction between irrigation depth and row spacing on grain productivity (GP). It can be seen that the lowest values ​​for GP (from 300 to 500 kg ha^-1) were obtained with the smallest irrigation depths (200 to 220 mm). These results can be explained by the harmful effect of the water deficit, which reduces the number of pods per plant, the number of grains per pod and the weight of the grain, compromising the final grain yield. In this scenario of water deficit, there is little influence from row spacing, which can be seen from the small slope of the response curves. As an example, a grain yield of 500 kg ha^-1 can be obtained with an irrigation depth of approximately 220 mm, at any spacing from 0.4 to 0.9.

Figure 5
Response of grain productivity (GP) for the interaction between irrigation depth (I) and row spacing (S) in the cowpea 'BRS Tumucumaque'

On the other hand, the highest values for GP were obtained with the greatest irrigation depths at the smallest row spacings. For example, to obtain a value for GP of over 1,500 kg ha^-1, irrigation depths greater than 320 mm should be applied at row spacings ranging from 0.4 to 0.6 m. This can be explained by the smaller row spacings having fewer plants per row, which reduces intraspecific competition and avoids self-shading, the opposite to conditions seen at the larger row spacings (greater number of plants per row, higher intraspecific competition, more self-shading and lower GP).

Similar results were obtained by Oliveira et al. (2015), who evaluated the effect of different irrigation regimes together with different plant densities on growth and grain productivity in the BRS Itaim variety of cowpea, grown in a Red-Yellow Argisol, in Teresina PI. Those authors found a maximum value for GP of 1,668.86 kg ha^-1 with an irrigation depth of 390.88 mm. Cardoso and Ribeiro (2006), when evaluating productive performance in the cowpea 'Rouxinol', using three rows spacings and four plant densities, in a Yellow Argisol in Teresina PI, achieved a maximum value for grain productivity of 1,670 kg ha^-1.

No significant effect was found from irrigation depth on LAI at 43 and 63 days after sowing (Table 4). These dates correspond to the start of the different irrigation treatments, a period that had not yet caused marked changes in leaf growth, and to the end of the cycle, when all the treatments displayed intense leaf senescence. The statistical differences in the LAI at 50 and 57 days after sowing are explained as a result of the differentiated response of the cowpea to irrigation. The smaller irrigation depths resulted in a water deficit, which reduces leaf growth and can be seen in Figure 6, where the highest and lowest values for LAI ​​correspond to the irrigation depths of 160% and 40% respectively. In the treatment with the greatest irrigation depth, the maximum value seen for LAI was 3.27, which was 44% higher than the maximum value for LAI of 1.84 seen in the treatment with the smallest irrigation depth. Similar results were found by Oliveira et al. (2015), where significant reductions in the LAI were seen in treatments under a water deficit.

Table 4
Summary of the analysis of variance for leaf area index in the BRS Tumucumaque cultivar for five irrigation depths and four row spacings

Mean Square
SV	DF	43 DAS	50 DAS	57 DAS	63 DAS
Blocks	3	1.524ns	0.428ns	0.541ns	0.019*
Irrigation Depth (a)	4	1.203ns	5.061**	4.988**	0.807ns
Residual (a)	12	0.941	0.742	0.542	0.403
Spacing (b)	3	7.072**	3.281**	6.056**	1.021*
Interraction Ta x Tb	12	0.191ns	0.242ns	0.527ns	0.592ns
Residual (b)	45	0.438	0.422	0.456	0.306
CV (%) (a)	-	46.99	34.24	33.62	44.71
CV (%) (b)	-	32.05	25.83	30.83	38.12

• ^{*, ** and ns}
  significant at 5% and 1%, and not significant respectively by F-test. DAS - days after sowing

Figure 6
Values for the leaf area index (LAI) for applied irrigation depth from 43 to 63 days after sowing in the cowpea 'BRS Tumucumaque'

A quadratic effect can be seen on the LAI (Table 5) for each irrigation depth, agreeing with the results obtained by Bastos et al. (2012), Freitas et al. (2014) and Nascimento et al. (2011). This effect occurs because the cowpea, like most annual species, exhibits slow vegetative growth at the beginning of the cycle, which gradually increases, reaches a peak during the reproductive period, followed by a reduction in LAI due to leaf senescence.

Table 5
Regression equations for the leaf area index (LAI) as a function of different irrigation depths (I) and different row spacings (S)

Treatment	Equation	R2
Irrigation Depth
40%	IAF = 0.6619 + 0.0583L - 0.0007L2	R2 = 0.7428*
70%	IAF = 3.2455 + 0.2436L - 0.0027L2	R2 = 0.9152*
100%	IAF = 29.08 + 1.2305L - 0.0119L2	R2 = 0.9944*
130%	IAF = - 18.555 + 0.8323L - 0.0082L2	R2 = 0.9197*
160%	IAF = - 27.992 + 1.2084L - 0.0117L2	R2 = 0.999*
Row Spacing
0,36 m	IAF = - 17.092 + 0.8008E - 0.008E2	R2 = 0.9956*
0,45 m	IAF = - 15.845 + 0.7444E - 0.0074E2	R2 = 0.9835*
0,60 m	IAF = 15.254 + 0.6903E - 0.0067E2	R2 = 0.9975*
0,90 m	IAF = - 13.999 + 0.6089E - 0.0059E2	R2 = 0.7461*

• ^*
  p<0.05

With row spacing, there was a statistical significance for all periods. The different number of plants per row between these treatments probably causes different levels of self-shading, generating intraspecific competition of differing proportions, thereby influencing the results (Table 4). The LAI curves, as a function of row spacing (Figure 7), indicate that the smaller the spacing, the higher the values for LAI, which ranged from 1.58 to 2.9 in the treatments at a row spacing of 0.36 m, whereas at the largest spacing (0.9 m) this variation was from 1.12 to 1.96.

Figure 7
Values for leaf area index (LAI) in the cowpea 'BRS Tumucumaque' from 43 to 63 days after sowing, at each row spacing

Considering row spacing only, the regression equations (Table 5) also indicate a quadratic response of the LAI at each spacing, similar to the response of the LAI to irrigation depth, and following the same trend as results obtained by Bastos et al. (2012), Freitas et al. (2014) and Nascimento et al. (2011).

CONCLUSIONS

1. The greatest irrigation depths together with the smaller row spacings give the highest values for grain productivity;

2. There is no influence from row spacing on the production components;

3. The pod length, number of pods per plant and number of grains per pod show an increasing linear effect as a function of irrigation depth.

• 1
  Parte da Dissertação do primeiro autor apresentada no Programa de Pós-Graduação em Agronomia Produção Vegetal, da Universidade Federal do Piauí/UFPI

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Publication Dates

• Publication in this collection
  2017

History

• Received
  30 Aug 2016
• Accepted
  10 Jan 2017