Next Article in Journal
Sheep Dung Composition and Phosphorus and Potassium Release Affected by Grazing Intensity and Pasture Development Stage in an Integrated Crop-Livestock System
Previous Article in Journal
Review of Active Optical Sensors for Improving Winter Wheat Nitrogen Use Efficiency
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Effect of Tillage, Previous Crop, and N Fertilization on Agronomic and Economic Performances of Durum Wheat (Triticum durum Desf.) under Rainfed Semi-Arid Environment

1
Laboratoire Sciences et Techniques Agronomiques (LR16INRAT05), National Institute of Agricultural Research of Tunisia (INRAT), Carthage University, Hedi Karray Street, Ariana 2049, Tunisia
2
National Institute of Agronomy of Tunisia, Carthage University, Avenue Charles Nicolle, Tunis 1082, Tunisia
3
Laboratoire Sciences et Techniques Agronomiques (LR16INRAT05), National Research Institute for Rural Engineering, Water and Forests (INRGREF), Carthage University, Hedi Karray Street, Ariana 2049, Tunisia
4
Laboratory of Animal and Forage Production, National Institute of Agricultural Research of Tunisia (INRAT), Carthage University, Hedi Karray Street, Ariana 2049, Tunisia
5
Center for Agricultural Research in the Dry Areas (ICARDA), Tunis Office, Hedi Karray Street, Ariana 2049, Tunisia
*
Author to whom correspondence should be addressed.
Agronomy 2020, 10(8), 1161; https://doi.org/10.3390/agronomy10081161
Submission received: 23 June 2020 / Revised: 27 July 2020 / Accepted: 31 July 2020 / Published: 7 August 2020

Abstract

:
The implementation of conservation agriculture (CA) remains crucial for facing interannual variability in climatic conditions that impact durum wheat production and food security. The current work was conducted to assess the effects of the tillage practice, previous crop, and nitrogen (N) fertilization rate on the agronomic and economic performances of rainfed durum wheat in a semi-arid environment in Tunisia. Tillage practices included no-tillage (NT) and conventional tillage (CT). Preceding crops were either a common vetch or a bread wheat. The N rates applied were: 0, 75, 100, 120, and 140 kg N ha−1. Our results show that, based on a 2-year experiment, tillage practices are not affecting grain yield, grain N, and gross margins. However, the N-use efficiency of durum wheat was significantly higher when wheat was grown using NT. Grain yield and N content in grain were 340 kg ha−1 and 0.34%; much higher after vetch than after bread wheat. For both tillage practices, the merit of 75 kg N ha−1 is paramount to maximize yield through a more efficient use of available N. Our results highlight the importance of no-tillage-based CA combined with rotation, including vetch, on enhanced yields, N-use efficiency, and gross margins. These findings provide the evidence of the positive impact of CA for rainfed durum wheat under semi-arid Mediterranean conditions.

1. Introduction

In Tunisia, durum wheat (Triticum durum Desf.) is a strategic crop that makes up a large part of the national diet [1]. Durum wheat production represents more than 50% of the whole cereal land surface and meets about 70% of annual national demand [2]. Durum wheat productivity is highly variable from year to year, closely linked to the variability and distribution of annual precipitation during the growing season [3]. This interannual variability is expected to be accentuated by climate change according to several projections [4].
In order to face this alarming situation, the implementation of a strategy based on the sustainable intensification of wheat-based cropping systems remains crucial for food security. Conservation agriculture (CA) has been proposed as an adapted set of crop management principles that assures a more sustainable agricultural production, reduces soil degradation, and also contributes to making agricultural systems more resilient to climate change [5]. Three complementary principles are considered by CA: (1) no-tillage (NT) or minimal mechanical tillage, (2) permanent soil surface cover with mulch of crop residues, and (3) crop diversification through rotations or associations of crops that control the main bio-aggressors (diseases, pests, and weeds) [5,6]. In Tunisia, no-tillage-based CA was introduced in 2000. Currently, CA covers an area of 14,000 ha, mainly for cereals, performed by almost 200 farmers and 107 no-till seeders, available in the country [5,7].
Numerous agronomic benefits of no-tillage-based CA have been reported in a wide array of cropping systems [5,6]. CA is effective in improving soil infiltration and thus reducing surface runoff and soil erosion as well as greater soil moisture-holding capacity. In addition, CA improves nutrient cycling, carbon sequestration, and biological soil health [6,7,8]. So, in dry rainfed areas, wheat yields under CA exceeded those under conventional tillage (CT) due to improved soil water conservation [9]. However, in relatively moist conditions (humid or irrigated areas), consistent yield declines under NT were observed [9]. Adopting CA principles can further directly influence nutrient dynamics [10]. Likewise, fertilizer inputs are crucial to the successful implementation of CA [11]. Integrated Nutrient Management was suggested as a fourth CA crop management principle [6]. Nitrogen (N) is the most limiting nutrient for cereal production. Its availability and efficiency are often lower in CA than in conventional tillage (CT) practices. This is due to slower decomposition of crop residues and higher N immobilization with residue surface retention [12]. Adjusting N management, according to the changes in soil properties and processes in CA, is necessary at the transition phase of CA-adoption for improving yield and N-use efficiency [12]. It is further important to mention that farmers’ adoption of CA practices is also related to expectations in terms of increase in gross margin. In this vein, CA is prone to reduce production costs and increase profitability, often attributed to decreases in labor and energy consumption compared to conventional agriculture [13]. Economic benefits associated with reduced soil erosion are considered as the main reasons to adopt CA [14].
The objective of this paper is to contribute to the debate about the scope and usefulness of CA in Tunisia. We particularly aim to compare the effects of no-tillage and conventional tillage agriculture, under two previous crops and five levels of N fertilizer rates, on the agronomic and economic performances of rainfed durum wheat in the semi-arid conditions of Tunisia.

2. Materials and Methods

2.1. Experimental Site Description

The experiment was carried out during two growing seasons (2013–2014 and 2014–2015) at Bourabia experimental station of the National Institute of Agricultural Research of Tunisia, which is located 25 km south of Tunis (36°36′5.69″ N; 10°7′23.49″ E, 59 m). The Bourabia site is characterised by an upper semi-arid climate with an average annual rainfall of 470 mm and an annual mean temperature of 19 °C. The soil type for the field trial was a brown rendoll, according to the USDA soil taxonomy [15], with a clayey texture. The main soil characteristics in the first 40 cm are presented in Table 1.

2.2. Experimental Design and Treatments

Two tillage practices were evaluated: no-tillage with 1500 kg ha−1 of crop residues on soil surface as mulch (NT) and conventional tillage (CT). The CT practice included autumn mouldboard ploughing and disk harrowing for seedbed preparation. The two tillage practices were combined with two previous crops (Pre-crop): a common vetch (Vicia sativa L.) and a bread wheat (Triticum aestivum L.). In addition, five nitrogen rates [N4: 140 kg N ha−1; N3: 120 kg N ha−1; N2: 100 kg N ha−1; N1: 75 kg N ha−1; N0: 0 kg N ha−1] were combined with tillage practices and previous crops. The N fertilizer was broadcast as ammonium nitrate (NH4NO3; 33.5% N) at three phenological stages of durum wheat: 30% at 3-leaf stage (GS21 of Zadoks scale, [20]), 40% at ear-1-cm (GS30 of Zadoks scale), and 30% at the stem elongation stage (GS37 of Zadoks scale).
A Tunisian durum wheat, cv. Maali, was sown on 31 December 2013 and 4 December 2014 using no-till seeder (SEMEATO SHM-15/17) and conventional seeder for NT and CT, respectively, with a sowing density of 350 plants per square meter. The treatments were arranged in a split–split–plot experimental design with tillage practices (Tillage) as main-plot, the previous crop (Pre-crop) as subplot and the nitrogen rate (N rate) as sub-subplot factors, with three replications, making a total of 60 sub-subplots for each growing season. Each sub-subplot was 10 m by 5 m (50 m2). Standard agronomic practices after sowing (herbicide and fungicide treatments) were performed in the same way and at the same time for all sub-subplots. In the NT system, weeds were controlled before sowing by spraying glyphosate [N-(phosphonomethyl)-glycine] (3 L ha−1).

2.3. Weather Conditions Monitoring

Weather data were recorded daily by an automatic agrometeorological station near the experimental site. Daily minimum and maximum air temperatures (Tmin and Tmax in °C) and daily rainfall (Prec in mm) were collected throughout the study period (2013–2014 and 2014–2015).
The 20-year average annual rainfall, from 1996 to 2015, for the Bourabia site was 333 mm (Figure 1). Overall, the 2013–2014 growing season was considered as a wet period (457 mm) since its annual rainfall was over this long-term average. On the contrary, annual rainfall at this site for the 2014–2015 growing season (269 mm) was below this long-term average. Then, the 2014–2015 growing season was relatively dry.

2.4. Grain Yield and Straw Yield Measurements

Samples of grains and straws of durum wheat were collected at physiological maturity, which corresponds to 168 and 189 days after sowing in the first- and second-year experiment, respectively. The samples were collected using a square meter sampler with three replicates. Grains were separated from straw using a laboratory thresher (Wintersteiger LD 350). Grain yield and straw yield were measured using a high capacity precision balance.

2.5. Nitrogen Content in Grain

The grains were ground through a 1 mm screen in a laboratory mill (Culatti, Steinen, Switzerland, DFH 48). The milled grains were analysed for total N content using the Kjeldahl method [21].

2.6. Nitrogen Use Efficiency

Nitrogen use efficiency for grains (NUE), expressed in kg kg−1 N, was calculated according to Equation (1) [22]:
NUE = GY N   rate
where N rate: the amount of applied N fertilizer (kg N ha−1); GY: grain yield (kg ha−1).

2.7. Real Evapotranspiration and Water-Use Efficiency

The real evapotranspiration (ETR) of the crop was calculated based on the water balance method, considering drainage and runoff as zero, according to Equation (2) [23]:
ETR (mm) = Wi − Wf + P
where ETR (mm) is the water consumption during the growing season; P (mm) is the precipitation amount during the durum wheat growth cycle; Wi and Wf (mm) are the gravimetric soil water content at 0–40 cm depth at sowing and harvest of durum wheat, respectively.
Water-use efficiency for grains (WUE) was calculated as the ratio of grain yield (GY in kg ha−1) to real evapotranspiration (ETR in mm), according to Equation (3) [24]:
WUE   ( kg   ha 1 mm 1 ) = GY ETR

2.8. Gross Margin Analysis

Unitary Gross Margin (GM) of durum wheat cultivation is calculated by subtracting variable costs from the total production value per ha (Equation (4) [25]). Grain and straw yield prices and cost of inputs expressed in Tunisian dinar (TND) were recorded yearly. The mean exchange rate over the trial period was 1.00 TND to 0.546 USD.
GM = Total production value − variable costs
where: Total production value = (grain yield × price) + (straw yield × price).
Variable costs included seed, agro-chemicals (i.e., pre-seeding use of glyphosate for NT, post-seeding use of herbicide for both systems), machinery operations (it is assumed to have less machinery operations and thus lower costs under NT), salary/supervision, land rent, costs of nitrogen fertilizer and straw press operation costs.
The cost of nitrogen fertilizer was variable according to the N rates tested: N4:228 TND ha−1; N3:198 TND ha−1; N2:168 TND ha−1; N1:131 TND ha−1; N0:0 TND ha−1.
If NT then Variable costs (TND ha−1) = 1052 + N fertilizer cost + straw pressing cost
If CT then Variable costs (TND ha−1) = 1040 + N fertilizer cost + straw pressing cost
where “1052” and “1040” are the total of charges of variable costs (TND ha−1) under NT and CT, respectively (See Table S1 for detail).

2.9. Statistical Analysis

The agronomic and economic variables were analysed using the MIXED procedure of SAS 9.0 [26]. Least significant differences (LSDs) for letter mean separation were assigned using the pdmix800 macro [27] with a significance level of 0.05. All effects are fixed. The linear mathematical model of the split–split–plot experiment is given by:
Y = Season|Tillage + Tillage|Pre-crop|N rate
where: Y: dependent variable (output variable); Season: growing season; Tillage: tillage system; Pre-crop: Previous crop; N rate: Nitrogen rate.
Simple linear regressions relating nitrogen use efficiency (NUE) to water use efficiency (WUE) were estimated for the various N rates individually, and for the pooled data using R3.4.2 (R Foundation for Statistical Computing, Vienna, Austria) [28]. Slopes and intercepts obtained with the four N rates individually were evaluated through an analysis of covariance (ANCOVA) using JMP®11.0 statistical software (SAS Institute: Cary, NC, USA) [29].

3. Results

3.1. Agronomic Performance

3.1.1. Durum Wheat Yield and Grain Quality

When considering the two tested growing seasons (2013–2014 and 2014–2015), tillage did not significantly affect grain yield, straw yield, and grain N; their average being 2520 kg ha−1, 3517 kg ha−1, and 2.6%, respectively (Table 2). However, Tillage × Season interaction is significant due mainly to the positive effect of NT compared to CT on the tested parameters during the 2014–2015 growing season where climatic conditions were less favourable. Under NT, grain yield varied similarly over the two growing seasons with an average of about 2642 and 2444 kg ha−1 in the first and second growing season, respectively. However, under CT, grain yield considerably decreased by about 921 kg ha−1 in the second growing season compared to that in the first growing season (2957 kg ha−1). Under NT, the second-year experiment recorded a higher straw yield (4220 kg ha−1) compared to the first-year experiment (2929 kg ha−1). While under CT, the second-year experiment presented lower straw yield (3231 kg ha−1) compared to the first-year experiment (3684 kg ha−1). On the other hand, grain N considerably increased in the second-year experiment (2.89% and 3.05%) compared to that in the first-year experiment (2.36% and 2.12%), respectively, for NT and CT.
On the other hand, grain yield and grain N were significantly affected by pre-crop; being higher after vetch (2690 kg ha−1 and 2.77%, respectively) than after bread wheat (2350 kg ha−1 and 2.43%, respectively) (Table 3). However, the two-way interaction between Tillage and Pre-crop was statistically significant on grain yield and grain N. NT-Vetch recorded the highest grain yield (2865 kg ha−1). No differences were observed for other combinations with an average of 2221, 2515, and 2479 kg ha−1 for NT-Wheat, CT-Vetch, and NT-Vetch, respectively. Vetch pre-crop increased grain N in CT (2.92%) but decreased that in NT (2.62%). Nevertheless, Tillage × Pre-crop had no significant effect on straw yield (Figure 2). Grain yield, straw yield, and grain N increased significantly with N rate application (Table 2 and Table 3). Grain yield increased with increasing rates of nitrogen from 2013 kg ha−1 (N0) to 2920 kg ha−1 (N4) (Table 3). Likewise, straw yield increased with increasing nitrogen rates from 2996 kg ha−1 (N0) to 3892 kg ha−1 (N4). No difference was observed between N2, N3, and N4 on straw yield. The same trend was observed for grain N, with the highest grain N obtained with N4 (2.82%). However, grain N was similar among other N rates, with an average of 2.49, 2.60, 2.62, 2.48% for N0, N1, N2, and N3, respectively (Table 3). The three-way interaction (Tillage × Pre-crop × N rate) had no significant effect on grain yield, straw yield, and grain N (Table 2).
On the other hand, Tillage and N rate showed a significant interaction on grain yield, straw yield, and grain N (Table 2, Figure 2). CT-N4 treatment recorded the highest grain yield (3041 kg ha−1) and NT-N0 recorded the lowest grain yield (1770 kg ha−1). Likewise, NT-N1, NT-N2, NT-N3, NT-N4, and CT-N4 treatments recorded the highest straw yield (3944, 3675, 3746, 3863, and 3921 kg ha−1, respectively) while NT-N0 recorded the lowest straw yield (2647 kg ha−1). NT-N4 recorded the highest grain N (2.96%), while NT-N0 treatments recorded the lowest grain N with 2.45%. However, a significant interaction effect of Pre-crop × N rate was observed on grain N, with the highest grain N recorded after vetch combined with N4 (3.11%).

3.1.2. Nitrogen and Water-Use Efficiencies

The statistical analysis indicated that growing season had a significant influence on NUE but not on WUE (Table 2). Similar to grain yield, tillage had no significant effect on WUE with a WUE average of 7.9 kg ha−1 mm−1. However, NUE varied significantly among tillage practices. NUE was 2 kg kg−1 N; much higher in NT than in CT (24.4 kg kg−1 N). Likewise, NUE and WUE varied significantly with previous crops (Table 3). Treatments after vetch were more efficient for water- and nitrogen-use (27.2 kg kg−1 N and 8.6 kg ha−1 mm−1) compared to those after bread wheat (23.6 kg kg−1 N and 7.3 kg ha−1 mm−1), respectively, for NUE and WUE.
Increasing nitrogen rates induced a decrease in NUE, from 34 kg kg−1 N with N1 to 21.8 and 20.9 kg kg−1 N with N3 and N4, respectively (Table 3). However, increasing nitrogen rates significantly improved WUE, from 6.4 kg ha−1 mm−1 for N0 to 9.0 kg ha−1 mm−1 for N4. Even so, no significant differences were observed between N1, N2, N3, and N4 on WUE (Table 3).
Tillage and season had significant interaction effects on NUE and WUE (Table 3). Under NT, NUE varied similarly over the two growing seasons with an average of about 27.6 and 25.3 kg kg−1 N in the first and second growing season, respectively. However under CT, NUE significantly decreased by about 10.5 kg kg−1 N in the second growing season compared to that in the first growing season (29.7 kg kg−1 N). Under NT, WUE significantly increased by about 1.6 kg ha−1 mm−1 in the second growing season compared to that in the first growing season (7.4 kg ha−1 mm−1). In contrast, WUE significantly decreased under CT by about 0.6 kg ha−1 mm−1 in the second growing season compared to that in the first growing season (8 kg ha−1 mm−1).
Tillage and Pre-crop had significant interaction effects on NUE and WUE. NT-Vetch recorded the highest levels of NUE (30.3 kg kg−1 N) and WUE (9.4 kg ha−1 mm−1) (Figure 2). Even so, no significant differences were observed between other Tillage × Pre-crop combinations on both NUE and WUE.
Tillage by N rate significantly affected WUE but not NUE (Figure 2). Under NT, WUE was higher with N2, N3, and N4 than with other N rates, although under CT, WUE was higher with N4 compared to the other N rates, which had statistically similar WUE levels. No differences were observed between N1, N2, N3, and N4 under NT and N1, N3, and N4 under CT.

3.1.3. Relationship between NUE and WUE

The individual slopes and y-intercepts were pairwise compared to each other in order to investigate if there was a nexus between NUE and WUE. When WUE and NUE were plotted against each other, a positive relationship was observed (R2 = 0.279 for CT and R2 = 0.362 for NT) between the two agronomic traits for both tillage practices (Figure 3). An ANCOVA test demonstrated that under NT, the slopes of the lines were significantly different. The slope for N1 was twofold higher than for higher N rates (4.0 vs. 1.8). Moreover, the y-intercepts for these four N rates were significantly different only for N2, N3, and N4. On the other hand, the slopes under CT were also significantly different with higher value for N1 (6.1) than for higher N rates (2.3–4.8). The slope under N1 was higher than under higher N rates. However, the slopes of the lines for N3 and N4 were statistically similar. Likewise, the y-intercepts for these four N rates were significantly different only for (N2 vs. N3) and (N2 vs. N4).

3.2. Gross Margins

Our results show that Tillage had no significant effect on GM, with an average GM of about 996 and 965 TND ha−1 for NT and CT, respectively. However, GM varied significantly across different previous crops (Table 4). For instance, durum wheat after vetch was more profitable (1116 TND ha−1) than after bread wheat (845 TND ha−1).
Similarly to agronomic traits, GM increased significantly with increasing rates of nitrogen from 704 TND ha−1 for N0 to 1228 TND ha−1 for N4 (Table 4). However, no significant differences were observed between N1, N2, and N3 on GM, with an average GM of about 1020, 945, and 1006 TND ha−1, respectively.
Tillage and season had significant interaction effects on GM. Under NT, GM varied similarly over the two growing seasons with an average of about 1019 and 973 TND ha−1 in the first and second growing season, respectively. However, under CT, GM significantly decreased by about 727 TND ha−1 in the second growing season compared to that in the first growing season (1328 TND ha−1).
Tillage and Pre-crop had significant interaction effects on GM. The highest level of GM (1248 TND ha−1) was recorded under NT-Vetch, while the lowest one (745 TND ha−1) was recorded under NT-Wheat (Figure 4). Even so, no significant differences were observed between CT-Vetch and CT-Wheat on GM, with an average of 984 and 945 TND ha−1, respectively.
Tillage and N rate had significant interaction effects on GM. Under NT, GM was higher with N1, N2, N3, and N4 (1139. 1083, 1143, and 1129 TND ha−1, respectively) than with N0 (487 TND ha−1). Furthermore, GM was significantly higher under CT combined with N4 (1327 TND ha−1) compared to other CT - N rates combinations (as they averaged 921, 901, 806, and 870 TND ha−1, respectively for CT-N0, CT-N1, CT-N2, and CT-N3), which have statistically similar GM levels (Figure 4).

4. Discussion

The objectives of this study were to examine the effects of tillage practices (NT vs. CT), preceding crops (vetch or bread wheat), and different nitrogen rates (N0, N1, N2, N3, and N4) on the agronomic and economic performances of rainfed durum wheat in a semi-arid Mediterranean environment.

4.1. Agronomic Performance

Overall, grain and straw yields of durum wheat were not affected by tillage practices. This feature is supported by the study of Rieger et al. [30], who did not observe a marked difference in grain yield among tillage practices. Nevertheless, in their global meta-analysis based on 260 studies, Pittelkow et al. [9] concluded at a best performance of NT in rainfed dry climate conditions, with yields often being equal to or higher than CT practices.
Preceding crop had a remarkable effect on durum wheat grain yield. Overall durum wheat benefits more from a preceding vetch; this is most likely due to the positive contribution of legume to soil N enrichment via symbiotic N-fixing processes. This is in agreement with the findings of Ben Zekri et al. [31], who reported that legumes (including vetch) had higher fertilizing effects than other preceding crops (cereals and vegetables) in Mediterranean conditions.
Tillage and N rate had significant interaction effects on grain yield. With 140 kg N ha−1 mineral fertilizer applied, CT had the highest yield, whereas without N-fertilization, NT had the lowest one. Evidence shows yield advantages of CT compared to NT for all ranges of N rates [9]. However, with more than 80 kg fertilizer N ha−1 applied, CT had few yield advantages over NT. Thus, N fertilization reduced yield declines following NT [9]. This decline is probably due to N tie-up. Nitrogen immobilization, which is generated by cereal residues left on the field, is an issue in NT and is reported to be one of the primary causes for reducing yield and NUE under NT [32].
As discussed elsewhere [11,33], N fertilizer supply is an important practice to be considered with no-till systems, but its role is likely to be more pronounced when water is not the most limiting factor to crop growth. Higher N fertilizer rates at the onset of conversion to NT are required to compensate for the rapidly immobilized N at the beginning of the cropping season [34].
In our study, Tillage did not remarkably affect grain N. This latter is in agreement with the findings of López-Bellido et al. [35] who did not show any effect of tillage practices on grain quality. However, some studies showed lower grain N in NT than in CT [30]. Preceding crop had a significant effect on grain N. Higher grain N was observed after vetch compared to bread wheat. These results are in concordance with those of López-Bellido et al. [35]. Legumes provided a positive contribution to soil N supply [36]. Furthermore, grain N increased with increasing N rates, as observed by López-Bellido et al. [35] who tested three nitrogen rates (50 to 150 kg N ha−1) under contrasted tillage practices (NT vs. CT).
The current study demonstrated that NUE was significantly affected by N fertilizer rate, tillage practices, and previous crop. NUE decreased with increasing N rate, as shown by several studies [37,38,39]. The negative relationship between N fertilizer rates and NUE is explained by the non-linear pattern of yield response to N that is commonly found in all crops. Nitrogen use efficiency is commonly considered to be antagonistic with grain productivity [40] and is a key environmental indicator to reduce N supply while increasing durum wheat grain yields.
NUE was significantly higher when durum wheat was grown using NT. This result was in agreement with those obtained by Soon et al. [41] and Habbib et al. [42] who showed that for wheat, NUE was higher under NT compared to CT conditions. On the contrary, different results were obtained, when NUE was higher in CT soils due to an increase in yield [37,43] or due to N fertilizer immobilization through crop residues, and by an increase in fertilizer rates with NT [12].
Common vetch is the most known legume forage crop in Northern Africa. Durum wheat after vetch recorded considerably higher NUE than after bread wheat. This feature agrees with the findings of López-Bellido and López-Bellido [43] and Stockdale et al. [44], who reported a higher NUE in wheat rotated with another crop than in continuous wheat. In our results, higher NUE was observed with wheat following vetch in NT than with any other combination. This was due to the more favourable environmental conditions for N uptake being related to better soil water availability when NT was applied [45]. This latter could be also attributed to the enhancement of soil biological health, including the abundance of arbuscular mycorrhizal fungi (AMF) in no-tilled soils [46]. These mycorrhizae strongly enhance plant hydro-mineral nutrition through both higher water and nitrogen-use efficiency. These AMF are most effective in increasing the yield and nutrient uptake of durum wheat, as reported by Schutz et al. [47]. Moreover, N mineralization increased over the conversion period when the soils were switched from CT to conservation agriculture (CA) [48], thus enhancing soil N availability [49]. This observation confirms the importance of crop diversification for the success of conservation agriculture, mainly through the improvement of soil moisture content, plant water availability, and water-use efficiency [50].
In the same vein, vetch as previous crop positively influenced WUE compared to bread wheat under the NT system, where the WUE increase was of 35%. Evidence shows that legume-based rotation in NT increased water infiltration in semi-arid conditions [51]. This result could be attributed to a more extensive network of root channels for macro- and micro-pores in the soil, which are more developed under no-tillage-based CA when combined with legume rotation, compared to CT [52].
Furthermore, the results of this study demonstrated that WUE was significantly influenced by N rates; the highest WUE was obtained with 140 kg N ha−1, whereas the lowest WUE was recorded in the no-N-fertilization treatments. This result is supported by the study of Mellouli et al. [53]. Nitrogen-nourished durum wheat became more efficient in the use of available water due to the strong interaction between N and water availability and their positive effect on yields, especially in rainfed Mediterranean environments, as reported by Carvalho and Lourenço [54] and Hooper et al. [55].
For both tillage practices, the observed positive correlation between NUE and WUE (Figure 3) is confirmed by Cabrera-Bosquet et al. [56] and Dalal et al. [57] for durum wheat and bread wheat, respectively. As the NUE is negatively correlated to N rate, the high N rates have less available water per N unit. In fact, under these conditions, plants become more efficient in WUE and less efficient in N use. The y-intercept is higher under NT than under CT, which signifies that when WUE is very low, the NUE is higher under NT than under CT. Dalal et al. [57] explained this trend by the improvement of the NUE under NT compared to CT with long-term implementation.
Our results illustrate the opposite effect of N supply on WUE and NUE. Higher N treatments (N2, N3, and N4) have less available water per N unit for both tillage practices; therefore, durum wheat grown under rainfed semi-arid conditions became more efficient in WUE and less efficient in N use. This feature is reported by Cabrera-Bosquet et al. [56]. Under water-limited conditions, the trade-off between WUE and NUE reflects the crop’s ability to maximise resource-use efficiency [58]. Therefore, durum wheat growth might lower the utilization of their nitrogen source in order to maximize WUE in semi-arid Mediterranean conditions.

4.2. Economic Performance

Tillage had no significant effects on GM, due mainly to similar grain and straw yields recorded under both tillage practices (NT and CT). This result supports the adoption of CA since it shows that switching CT to NT will not necessarily result in a decrease in GM. However, durum wheat was more profitable when cultivated after vetch, compared to that cultivated after bread wheat. This feature is in agreement with the findings of Schneider et al. [59], Dumans et al. [60], and Jeuffroy et al. [61], who demonstrated that the gross margins of a crop following legume were higher than those following cereals. In the current study, rotation including vetch—known as a major disease- and weed-suppression technique [62]—significantly contributes to an improvement of the gross margins of durum wheat. Having a common vetch as previous crop instead of bread wheat provides considerable gains in term of monetary profit and environmental benefits.
As for grain yield and N-use efficiency, Tillage and Pre-crop had a significant interaction effect on gross margins. NT-Vetch recorded the highest gross margins in durum wheat. The simultaneous increase in both yield, N-use efficiency, and gross margins is at the core of “dual economic-efficient” agriculture, which is considered as an efficient and profitable agricultural production. These results support the adoption and the success of conservation agriculture for rainfed durum wheat in such semi-arid Mediterranean conditions.

5. Conclusions

Based on a 2-year experiment, tillage practices (NT and CT) did not affect grain yield, grain N concentration, and gross margins. However, Tillage affected N-use efficiency, which was significantly higher when durum wheat was grown in NT. Moreover, mineral N application rate significantly affected grain yield, nitrogen use efficiency, and gross margins of durum wheat. Indeed, durum wheat grown under rainfed semi-arid conditions became more efficient in water-use efficiency and less efficient in N use. For both tillage systems, the merit of 75 kg N ha−1 is paramount to maximizing yield through a more efficient use of available nitrogen in such semi-arid Mediterranean conditions.
Under semi-arid conditions, in Northern Tunisia, having a common vetch as previous crop instead of bread wheat is considered as a real gain in terms of profit and environmentally-friendly technique, which could reduce the reliance on wasteful inputs of chemical nitrogen.
Likewise, no-tillage-based CA combined with rotation including vetch recorded the highest levels of agronomic and economic performances of rainfed durum wheat cultivation. The simultaneous increase in both yield, N-use efficiency, and gross margins is at the core of “dual economic-efficient” agriculture. Therefore, these findings, even coming from two-year experiment, support the adoption and the success of conservation agriculture for durum wheat cultivation under such semi-arid Mediterranean conditions. Furthermore, it is important that medium to long term studies on CA and nutrient management are conducted to improve the references and better guide local farmers towards successful CA adoption.

Supplementary Materials

The following are available online at https://www.mdpi.com/2073-4395/10/8/1161/s1, Table S1: Variable costs under two tillage systems (NT and CT).

Author Contributions

M.A. conceived and designed the experiments; A.S., M.A., H.C.M., and S.B. performed the experiments; A.S., and S.B. analysed the data; A.S. wrote the paper; H.B., M.A., H.C.M., M.C., and A.F. assisted with writing, reviewing and editing the paper. M.A. supervised the work. All authors have read and agreed to the published version of the manuscript.

Funding

This research was partly (staff time of co-author) funded by the CGIAR Research Program (CRP) on WHEAT, led by the International Maize and Wheat Improvement Center (CIMMYT) and implemented by ICARDA in Tunisia (ICARDA’s agreement N°200077). The APC of this paper was funded by the CLCA project: Phase I (Integrated Crop–Livestock Conservation Agriculture for Sustainable Intensification of Cereal-based Systems in North Africa and Central Asia) and CLCA project: Phase II (Use of conservation agriculture in crop–livestock systems in the drylands for enhanced water use efficiency, soil fertility and productivity in NENA and LAC countries) which is funded by the International Fund for Agricultural Development (IFAD) (ICARDA’s agreement N°200116).

Acknowledgments

The authors would like to extend their sincere appreciation to the National Institute of Field Crops (INGC) for their technical support.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Ammar, K.; Gharbi, M.-S.; Deghaies, M. Wheat in Tunisia. In The World Wheat Book, a History of Wheat Breeding; Bonjean, A.P., Angus, W.M., Van Ginkel, M., Eds.; Tec & Doc Lavoisier: Cachan Cedex, France, 2011; Volume 2, ISBN 978-2-7430-1102-4. [Google Scholar]
  2. Bachta, M. L’Agriculture, L’Agroalimentaire, la Pêche et le Développement Rural en Tunisie. In Les Agricultures Méditerranéennes: Analyses Par Pays; Allaya, M., Ed.; CIHEAM: Montpellier, France, 2008; pp. 75–94. [Google Scholar]
  3. Latiri, K.; Lhomme, J.P.; Annabi, M.; Setter, T.L. Wheat Production in Tunisia: Progress, Inter-Annual Variability and Relation to Rainfall. Eur. J. Agron. 2010, 33, 33–42. [Google Scholar] [CrossRef]
  4. Lhomme, J.P.; Mougou, R.; Mansour, M. Potential Impact of Climate Change on Durum Wheat Cropping in Tunisia. Clim. Chang. 2009, 96, 549–564. [Google Scholar] [CrossRef]
  5. Kassam, A.; Friedrich, T.; Derpsch, R. Global Spread of Conservation Agriculture. Int. J. Environ. Stud. 2018, 1–23. [Google Scholar] [CrossRef]
  6. Lal, R. A System Approach to Conservation Agriculture. J. Soil Water Conserv. 2015, 70, 82A–88A. [Google Scholar] [CrossRef] [Green Version]
  7. Cheikh M’hamed, H.; Bahri, H.; Annabi, M. Conservation Agriculture in Tunisia: Historical, Current Status and Future Perspectives for Rapid Adoption by Smallholder Farmers. In Proceedings of the Second Africa Congress on Conservation Agriculture (2ACCA), Johansburg, South Africa, 9–12 October 2018; pp. 57–60. [Google Scholar]
  8. Conservation Agriculture; Farooq, M.; Siddique, K.H.M. (Eds.) Springer International Publishing: Cham, Switzerland, 2015; ISBN 978-3-319-11619-8. [Google Scholar]
  9. Pittelkow, C.M.; Linquist, B.A.; Lundy, M.E.; Liang, X.; van Groenigen, K.J.; Lee, J.; van Gestel, N.; Six, J.; Venterea, R.T.; van Kessel, C. When Does No-Till Yield More? A global Meta-Analysis. Field Crops Res. 2015, 183, 156–168. [Google Scholar] [CrossRef] [Green Version]
  10. Palm, C.; Blanco-Canqui, H.; DeClerck, F.; Gatere, L.; Grace, P. Conservation Agriculture and Ecosystem Services: An Overview. Agric. Ecosyst. Environ. 2014, 187, 87–105. [Google Scholar] [CrossRef] [Green Version]
  11. Sommer, R.; Thierfelder, C.; Tittonell, P.; Hove, L.; Mureithi, J.; Mkomwa, S. Fertilizer Use Should not be a Fourth Principle to Define Conservation Agriculture. Field Crops Res. 2014, 169, 145–148. [Google Scholar] [CrossRef]
  12. Grahmann, K.; Verhulst, N.; Buerkert, A.; Ortiz-Monasterio, I.; Govaerts, B. Nitrogen Use Efficiency and Optimization of Nitrogen Fertilization in Conservation Agriculture. CAB Rev. Perspect. Agric. Vet. Sci. Nutr. Nat. Resour. 2013, 8, 19. [Google Scholar] [CrossRef] [Green Version]
  13. Erenstein, O.; Sayre, K.; Wall, P.; Hellin, J.; Dixon, J. Conservation Agriculture in Maize- and Wheat-Based Systems in the (Sub)Tropics: Lessons from Adaptation Initiatives in South Asia, Mexico, and Southern Africa. J. Sustain. Agric. 2012, 36, 180–206. [Google Scholar] [CrossRef]
  14. Derpsch, R.; Friedrich, T.; Kassam, A.; Hongwen, L. Current Status of Adoption of No-Till Farming in the World and Some of its Main Benefits. Biol. Eng. 2010, 3, 25. [Google Scholar]
  15. Soil Survey Staff. Keys to Soil Taxonomy, 12th ed.; USDA-Natural Resources Conservation Service: Washington, DC, USA, 2014.
  16. Gee, G.W.; Bauder, J.W. Particle-Size Analysis 1. Methods Soil Analysis Part 1—Physical Mineralalogical Methods, 2nd ed.; Klute, A., Ed.; American Society of Agronomy, Soil Science Society of America: Madison, WI, USA, 1986; pp. 383–411. [Google Scholar]
  17. Jackson, M.L. Soil Chemical Analysis; Prentice Hall of India Pvt. Ltd.: New Delhi, India, 1973. [Google Scholar]
  18. ISO. ISO 10693. Determination of Carbonate Content—Volumetric Method; International Organization for Standardization: Geneva, Switzerland, 1994; p. 7.
  19. Walkley, A.; Black, I.A. An Examination of the Degtjareff Method for Determining Soil Organic Matter, and a Proposed Modification of the Chromic Acid Titration Method. Soil Sci. 1934, 37, 29–38. [Google Scholar] [CrossRef]
  20. Zadoks, J.C.; Chang, T.T.; Konzak, C.F. A Decimal Code for the Growth Stages of Cereals. Weed Res. 1974, 14, 415–421. [Google Scholar] [CrossRef]
  21. Bremner, J.M. Inorganic Forms of Nitrogen. In Agronomy Monograph; American Society of Agronomy: Madison, WI, USA; Soil Science Society of America: Madison, WI, USA, 1965; ISBN 978-0-89118-204-7. [Google Scholar]
  22. Dobermann, A. Nitrogen Use Efficiency—State of the Art. In Proceedings of the IFA International Workshop on Enhanced Efficiency Fertilizers, Frankfurt, Germany, 28–30 June 2005; p. 17. [Google Scholar]
  23. Wang, H.; McCaig, T.N.; DePauw, R.M.; Clarke, J.M.; Lemke, R. Water Use of Some Recent Bread and Durum Wheat Cultivars in Western Canada. Can. J. Plant Sci. 2007, 87, 289–292. [Google Scholar] [CrossRef]
  24. Zhang, Y.; Wang, S.; Wang, H.; Wang, R.; Wang, X.; Li, J. Crop Yield and Soil Properties of Dryland Winter Wheat-Spring Maize Rotation in Response to 10-year Fertilization and Conservation Tillage Practices on the Loess Plateau. Field Crops Res. 2018, 225, 170–179. [Google Scholar] [CrossRef]
  25. Flower, K.C.; Ward, P.R.; Cordingley, N.; Micin, S.F.; Craig, N. Rainfall, Rotations and Residue Level Affect No-Tillage Wheat Yield and Gross Margin in a Mediterranean-type Environment. Field Crops Res. 2017, 208, 1–10. [Google Scholar] [CrossRef]
  26. SAS Institute Inc. SAS System for Windows Computer Program, 9th ed.; SAS Institute Inc.: Cary, NC, USA, 2002. [Google Scholar]
  27. Dickey, D.A.; Saxton, A. SAS for Mixed Models, 2nd ed.; SAS Institute: Cary, NC, USA, 2006; p. 834. [Google Scholar]
  28. R Core Team. R: A Language and Environment for Statistical Computing; R Foundation for Statistical Computing: Vienna, Austria, 2017. [Google Scholar]
  29. SAS Institute. JMP® 11 Scripting Guide, 2nd ed.; SAS Institute: Cary, NC, USA, 2014. [Google Scholar]
  30. Rieger, S.; Richner, W.; Streit, B.; Frossard, E.; Liedgens, M. Growth, Yield, and Yield Components of Winter Wheat and the Effects of Tillage Intensity, Preceding Crops, and N Fertilisation. Eur. J. Agron. 2008, 28, 405–411. [Google Scholar] [CrossRef]
  31. Ben Zekri, Y.; Barkaoui, K.; Marrou, H.; Mekki, I.; Belhouchette, H.; Wery, J. On Farm Analysis of the Effect of the Preceding Crop on N Uptake and Grain Yield of Durum Wheat (Triticum Durum Desf.) in Mediterranean Conditions. Arch. Agron. Soil Sci. 2018, 65, 596–611. [Google Scholar] [CrossRef]
  32. Burgess, M.S.; Mehuys, G.R.; Madramootoo, C.A. Decomposition of Grain-Corn Residues ( Zea Mays L.): A Litterbag Study under Three Tillage Systems. Can. J. Soil Sci. 2002, 82, 127–138. [Google Scholar] [CrossRef]
  33. Vanlauwe, B.; Wendt, J.; Giller, K.E.; Corbeels, M.; Gerard, B. Response to Sommer et al. (2014) Fertiliser Use is not Required as a Fourth Principle to Define Conservation Agriculture. Field Crops Res. 2014, 167, 159. [Google Scholar] [CrossRef]
  34. Schoenau, J.J.; Campbell, C.A. Impact of Crop Residues on Nutraient Availability in Conservation Tillage Systems. Can. J. Plant Sci. 1996, 76, 621–626. [Google Scholar] [CrossRef]
  35. López-Bellido, L.; Fuentes, M.; Castillo, J.E.; López-Garrido, F.J. Effects of Tillage, Crop Rotation and Nitrogen Fertilization on Wheat-Grain Quality Grown under Rainfed Mediterranean Conditions. Field Crops Res. 1998, 57, 265–276. [Google Scholar] [CrossRef]
  36. Lafond, G.P.; May, W.E.; Stevenson, F.C.; Derksen, D.A. Effects of Tillage Systems and Rotations on Crop Production for a Thin Black Chernozem in the Canadian Prairies. Soil Tillage Res. 2006, 89, 232–245. [Google Scholar] [CrossRef]
  37. Huggins, D.R.; Pan, W.L. Nitrogen Efficiency Component Analysis: An Evaluation of Cropping System Differences in Productivity. Agron. J. 1993, 85, 898. [Google Scholar] [CrossRef]
  38. Latiri-Souki, K.; Nortcliff, S.; Lawlor, D.W. Nitrogen fertilizer can Increase Dry Matter, Grain Production and Radiation and Water Use Efficiencies for Durum Wheat Under Semi-Arid Conditions. Eur. J. Agron. 1998, 9, 21–34. [Google Scholar] [CrossRef]
  39. Abril, A.; Baleani, D.; Casado-Murillo, N.; Noe, L. Effect of Wheat Crop Fertilization on Nitrogen Dynamics and Balance in the Humid Pampas, Argentina. Agric. Ecosyst. Environ. 2007, 119, 171–176. [Google Scholar] [CrossRef]
  40. Oweis, T.; Hachum, A. Optimizing Supplemental Irrigation: Tradeoffs between Profitability and Sustainability. Agric. Water Manag. 2009, 96, 511–516. [Google Scholar] [CrossRef]
  41. Soon, Y.K.; Malhi, S.S.; Wang, Z.H.; Brandt, S.; Schoenau, J.J. Effect of Seasonal Rainfall, N Fertilizer and Tillage on N Utilization by Dryland Wheat in a Semi-Arid Environment. Nutr. Cycl. Agroecosyst. 2008, 82, 149–160. [Google Scholar] [CrossRef]
  42. Habbib, H.; Hirel, B.; Verzeaux, J.; Roger, D.; Lacoux, J.; Lea, P.; Dubois, F.; Tétu, T. Investigating the Combined Effect of Tillage, Nitrogen Fertilization and Cover Crops on Nitrogen Use Efficiency in Winter Wheat. Agronomy 2017, 7, 66. [Google Scholar] [CrossRef] [Green Version]
  43. López-Bellido, R.J.; López-Bellido, L. Efficiency of Nitrogen in Wheat under Mediterranean Conditions: Effect of Tillage, Crop Rotation and N Fertilization. Field Crops Res. 2001, 71, 31–46. [Google Scholar] [CrossRef]
  44. Stockdale, E.A.; Gaunt, J.L.; Vos, J. Soil–Plant Nitrogen Dynamics: What Concepts are Required? Eur. J. Agron. 1997, 7, 145–159. [Google Scholar] [CrossRef]
  45. Šíp, V.; Růžek, P.; Chrpová, J.; Vavera, R.; Kusá, H. The Effect of Tillage Practice, Input Level and Environment on the Grain Yield of Winter Wheat in the Czech Republic. Field Crops Res. 2009, 113, 131–137. [Google Scholar] [CrossRef]
  46. Schalamuk, S.; Cabello, M. Arbuscular Mycorrhizal Fungal Propagules from Tillage and no-Tillage Systems: Possible Effects on Glomeromycota Diversity. Mycologia 2010, 102, 261–268. [Google Scholar] [CrossRef] [PubMed]
  47. Schütz, L.; Gattinger, A.; Meier, M.; Müller, A.; Boller, T.; Mäder, P.; Mathimaran, N. Improving Crop Yield and Nutrient Use Efficiency via Biofertilization—A Global Meta-analysis. Front. Plant Sci. 2018, 8, 2204. [Google Scholar] [CrossRef] [Green Version]
  48. Maltas, A.; Corbeels, M.; Scopel, E.; Oliver, R.; Douzet, J.-M.; da Silva, F.A.M.; Wery, J. Long-Term Effects of Continuous Direct Seeding Mulch-Based Cropping Systems on Soil Nitrogen Supply in the Cerrado Region of Brazil. Plant Soil 2007, 298, 161–173. [Google Scholar] [CrossRef]
  49. Verzeaux, J.; Roger, D.; Lacoux, J.; Nivelle, E.; Adam, C.; Habbib, H.; Hirel, B.; Dubois, F.; Tetu, T. In Winter Wheat, No-Till Increases Mycorrhizal Colonization thus Reducing the Need for Nitrogen Fertilization. Agronomy 2016, 6, 38. [Google Scholar] [CrossRef] [Green Version]
  50. Sun, L.; Wang, S.; Zhang, Y.; Li, J.; Wang, X.; Wang, R.; Lyu, W.; Chen, N.; Wang, Q. Conservation Agriculture Based on Crop Rotation and Tillage in the Semi-Arid Loess Plateau, China: Effects on Crop Yield and Soil Water Use. Agric. Ecosyst. Environ. 2018, 251, 67–77. [Google Scholar] [CrossRef]
  51. Cheikh M’hamed, H.; Annabi, M.; Ben Youssef, S.; Bahri, H. L’agriculture de Conservation Est Un Système De Production Permettant D’améliorer L’efficience De L’utilisation De L’eau Et De La Fertilité Du Sol. Ann. L’inrat 2016, 89, 68–71. [Google Scholar] [CrossRef]
  52. Kumar, K.; Goh, K.M. Crop Residues and Management Practices: Effects on Soil Quality, Soil Nitrogen Dynamics, Crop Yield, and Nitrogen Recovery. In Advances in Agronomy; Elsevier: Amsterdam, The Netherlands, 1999; Volume 68, pp. 197–319. ISBN 978-0-12-000768-4. [Google Scholar]
  53. Mellouli, H.J.; Naceur, M.B.; Felah, M.E.; Gharbi, M.S.E.; Kaabia, M.; Nahdi, H.; Slafer, G.A.; Karrou, M. Efficience de L’utilisation De L’eau Chez Le Blé Et L’orge Sous Différents Régimes Hydriques Et De Fertilisation Azotée Dans Des Conditions Subhumides De Tunisie. Options Méditerranéennes Sér. BEtudes Rech. 2007, 1, 179–189. [Google Scholar]
  54. Carvalho, M.; Lourenço, E. Conservation Agriculture—A Portuguese Case Study. J. Agron. Crop Sci. 2014, 200, 317–324. [Google Scholar] [CrossRef]
  55. Hooper, P.; Zhou, Y.; Coventry, D.R.; McDonald, G.K. Use of Nitrogen Fertilizer in a Targeted Way to Improve Grain Yield, Quality, and Nitrogen Use Efficiency. Agron. J. 2015, 107, 903. [Google Scholar] [CrossRef]
  56. Cabrera-Bosquet, L.; Molero, G.; Bort, J.; Nogués, S.; Araus, J.L. The Combined Effect of Constant Water Deficit and Nitrogen Supply on WUE, NUE and Δ 13 C in Durum Wheat Potted Plants. Ann. Appl. Biol. 2007, 151, 277–289. [Google Scholar] [CrossRef]
  57. Dalal, R.C.; Strong, W.M.; Cooper, J.E.; King, A.J. Relationship between Water Use and Nitrogen Use Efficiency Discerned by 13C Discrimination and 15N Isotope Ratio in Bread Wheat Grown under No-Till. Soil Tillage Res. 2013, 128, 110–118. [Google Scholar] [CrossRef]
  58. Livingston, N.J.; Guy, R.D.; Sun, Z.J.; Ethier, G.J. The Effects of Nitrogen Stress on the Stable Carbon Isotope Composition, Productivity and Water Use Efficiency of White Spruce (Picea glauca (Moench) Voss) Seedlings. Plant Cell Environ. 1999, 22, 281–289. [Google Scholar] [CrossRef]
  59. Schneider, A.; Ballot, R.; Carrouée, B.; Berrodier, M. Rentabilité Des Protéagineux Dans La Rotation: Quelle Valeur Économique Pour L’effet Du Précédent? Perspect. Agric. 2009, 360, 6–11. [Google Scholar]
  60. Dumans, P.; Flénet, F.; Wagner, D.; Bonnin, E.; Schneider, A. Prise En Compte Des Effets Précédents Dans La Rentabilité Des Cultures: Pour Gagner Plus Avec Un Colza, Placez-Le Après Un Pois! Perspect. Agric. 2010, 368, 6–8. [Google Scholar]
  61. Jeuffroy, M.-H.; Biarnes, V.; Cohan, J.-P.; Corre-Hellou, G.; Gastal, F.; Jouffret, P.; Justes, E.; Landé, N.; Louarn, G.; Plantureux, S.; et al. Performances Agronomiques Et Gestion Des Légumineuses dans Les Systèmes De Productions Végétales. In Les Légumineuses Pour Des Systèmes Agricoles Et Alimentaires Durables; Quae Ed.: Versailles Cedex, France, 2015; p. 512. ISBN 978-2-7592-2334-3. [Google Scholar]
  62. Ryan, J.; Masri, S.; Singh, M.; Pala, M.; Ibrikci, H.; Rashid, A. Total and Mineral Nitrogen in a Wheat-Based Rotation Trial under Dryland Mediterranean Conditions. Basic Appl. Dryland Res. 2008, 2, 34–46. [Google Scholar] [CrossRef]
Figure 1. (a) Monthly precipitation (Prec), (b) minimum air temperature (Tmin), maximum air temperature (Tmax) during two growing seasons (2013–2014 and 2014–2015) and their long-term averages (1996–2015) at Bourabia station.
Figure 1. (a) Monthly precipitation (Prec), (b) minimum air temperature (Tmin), maximum air temperature (Tmax) during two growing seasons (2013–2014 and 2014–2015) and their long-term averages (1996–2015) at Bourabia station.
Agronomy 10 01161 g001
Figure 2. Effect of the two-way interactions of Tillage × Pre-crop (up) and Tillage × N rate (down) on (a) and (a’) grain yield, (b) and (b’) straw yield, (c) and (c’) nitrogen content in grain, (d) and (d’) nitrogen use efficiency (NUE), and (e) and (e’) water-use efficiency in grain (WUE). Data are averages ± standard errors. Different lowercase letters indicate significant differences between all treatments in each item (p < 0.05).
Figure 2. Effect of the two-way interactions of Tillage × Pre-crop (up) and Tillage × N rate (down) on (a) and (a’) grain yield, (b) and (b’) straw yield, (c) and (c’) nitrogen content in grain, (d) and (d’) nitrogen use efficiency (NUE), and (e) and (e’) water-use efficiency in grain (WUE). Data are averages ± standard errors. Different lowercase letters indicate significant differences between all treatments in each item (p < 0.05).
Agronomy 10 01161 g002
Figure 3. Simple linear regressions relating nitrogen use efficiency (NUE) to water-use efficiency (WUE) used at four N rates individually (solid lines), and for the pooled data (dashed black line) for each tillage practices (CT and NT). Nitrogen rates (N rate) are represented with different symbols (N1: green circle; N2: purple triangle; N3: red square; N4: blue plus).
Figure 3. Simple linear regressions relating nitrogen use efficiency (NUE) to water-use efficiency (WUE) used at four N rates individually (solid lines), and for the pooled data (dashed black line) for each tillage practices (CT and NT). Nitrogen rates (N rate) are represented with different symbols (N1: green circle; N2: purple triangle; N3: red square; N4: blue plus).
Agronomy 10 01161 g003
Figure 4. Effect of the two-way interactions of (a) Tillage × Pre-crop and (b) Tillage × N rate on GM. Data are averages ± standard errors. Different lowercase letters indicate significant differences between all treatments in each item (p < 0.05). V: Vetch; W: Wheat; CT: conventional tillage; NT: no-tillage.
Figure 4. Effect of the two-way interactions of (a) Tillage × Pre-crop and (b) Tillage × N rate on GM. Data are averages ± standard errors. Different lowercase letters indicate significant differences between all treatments in each item (p < 0.05). V: Vetch; W: Wheat; CT: conventional tillage; NT: no-tillage.
Agronomy 10 01161 g004
Table 1. Physicochemical properties of topsoil (0–40 cm) in Bourabia experimental station.
Table 1. Physicochemical properties of topsoil (0–40 cm) in Bourabia experimental station.
Soil PropertiesUnitMean Value
Clay (0.02–0.002 mm) [16] g kg−1490
Silt (0.2–0.02 mm) [16] g kg−1330
Sand (2.0–0.2 mm) [16] g kg−1180
pH [17] 7.1
Total CaCO3 [18] g kg−1412
Active CaCO3 [17] g kg−1200
Electrical conductivity (EC) [17]dS.m−10.2
Organic C [19] g kg−17.3
Available P [17] mg kg−173
Available K [17]mg kg−1174
Table 2. Significance from ANOVA testing effect of growing season (2013–2014 and 2014–2015), tillage practice (conventional and no-till), previous crop (bread wheat and vetch), and fertiliser N rate (N0, N1, N2, N3, and N4) and their interactions on grain yield, straw yield, N content in grains (Grain N), N use efficiency (NUE), and water use efficiency in grains (WUE) measured at physiological maturity of durum wheat. Season, growing season; Tillage, tillage practice; Pre-crop, previous crop; N rate, nitrogen rate.
Table 2. Significance from ANOVA testing effect of growing season (2013–2014 and 2014–2015), tillage practice (conventional and no-till), previous crop (bread wheat and vetch), and fertiliser N rate (N0, N1, N2, N3, and N4) and their interactions on grain yield, straw yield, N content in grains (Grain N), N use efficiency (NUE), and water use efficiency in grains (WUE) measured at physiological maturity of durum wheat. Season, growing season; Tillage, tillage practice; Pre-crop, previous crop; N rate, nitrogen rate.
Source of Variation Grain YieldStraw YieldGrain NNUEWUE
Season***********NS
TillageNSNSNS*NS
Tillage × Season**************
Pre-crop**NS*********
Tillage × Pre-crop**NS********
N rate**************
Tillage × N rate***NS*
Pre-crop × N rateNSNS***NSNS
Tillage × Pre-crop × N rateNSNSNSNSNS
*** < 0.001; ** <0.01; * < 0.05; NS ≥ 0.05.
Table 3. Grain yield, straw yield, N content in grains (Grain N), N use efficiency (NUE), and water-use efficiency (WUE) as affected by tillage practice (CT and NT), previous crop (bread wheat and vetch), and nitrogen rate (N0, N1, N2, N3, and N4). Data are averages ± standard errors. Different lowercase letters indicate significant differences between all treatments in each item (p < 0.05). Tillage, tillage practice; Pre-crop, previous crop; N rate, nitrogen rate.
Table 3. Grain yield, straw yield, N content in grains (Grain N), N use efficiency (NUE), and water-use efficiency (WUE) as affected by tillage practice (CT and NT), previous crop (bread wheat and vetch), and nitrogen rate (N0, N1, N2, N3, and N4). Data are averages ± standard errors. Different lowercase letters indicate significant differences between all treatments in each item (p < 0.05). Tillage, tillage practice; Pre-crop, previous crop; N rate, nitrogen rate.
Source of Variation Grain Yield (kg ha−1)Straw Yield (kg ha−1)Grain N (%)NUE (kg kg−1 N)WUE (kg ha−1 mm−1)
TillageNT2543 ± 74 a3575 ± 103 a2.62 ± 0.04 a26.43 ± 0.71 a8.2 ± 0.26 a
CT2497 ± 74 a3458 ± 103 a2.58 ± 0.04 a24.42 ± 0.71 b7.69 ± 0.26 a
Pre-cropVetch2690 ± 74 a3613 ± 103 a2.77 ± 0.04 a27.22 ± 0.71 a8.61 ± 0.26 a
Wheat2350 ± 74 b3420 ± 103 a2.43 ± 0.04 b23.64 ± 0.71 b7.28 ± 0.26 b
N rateN02013 ± 117 c2996 ± 163 b2.49 ± 0.06 b 6.38 ± 0.41 b
N12562 ± 117 b3442 ± 163 a,b2.6 ± 0.06 b34.16 ± 1.01 a8.08 ± 0.41 a
N22491 ± 117 b3626 ± 163 a2.62 ± 0.06 b24.91 ± 1.01 b7.95 ± 0.41 a
N32614 ± 117 a,b3626 ± 163 a2.48 ± 0.06 b21.78 ± 1.01 c8.31 ± 0.41 a
N42920 ± 117 a3892 ± 163 a2.82 ± 0.06 a20.86 ± 1.01 c9.01 ± 0.41 a
Table 4. Significance from ANOVA testing effect of tillage practices (CT and NT), previous crop (bread wheat and vetch), and nitrogen rate (N0, N1, N2, N3, and N4) on gross margins (GM). Data are averages ± standard errors. Different lowercase letters indicate significant differences between all treatments each item (p < 0.05). Tillage, tillage practices; Pre-crop, previous crop; N rate, nitrogen rate.
Table 4. Significance from ANOVA testing effect of tillage practices (CT and NT), previous crop (bread wheat and vetch), and nitrogen rate (N0, N1, N2, N3, and N4) on gross margins (GM). Data are averages ± standard errors. Different lowercase letters indicate significant differences between all treatments each item (p < 0.05). Tillage, tillage practices; Pre-crop, previous crop; N rate, nitrogen rate.
Source of Variation LevelsGM (TND ha−1)
TillageNT996 ± 59 a
CT965 ± 59 a
SignificanceNS
Pre-cropVetch1116 ± 59 a
Wheat845 ± 59 b
Significance**
N rateN0704 ± 93 c
N11020 ± 93 b
N2945 ± 93 b
N31006 ± 93 ab
N41228 ± 93 a
Significance**
** < 0.01; NS ≥ 0.05.

Share and Cite

MDPI and ACS Style

Souissi, A.; Bahri, H.; Cheikh M’hamed, H.; Chakroun, M.; Benyoussef, S.; Frija, A.; Annabi, M. Effect of Tillage, Previous Crop, and N Fertilization on Agronomic and Economic Performances of Durum Wheat (Triticum durum Desf.) under Rainfed Semi-Arid Environment. Agronomy 2020, 10, 1161. https://doi.org/10.3390/agronomy10081161

AMA Style

Souissi A, Bahri H, Cheikh M’hamed H, Chakroun M, Benyoussef S, Frija A, Annabi M. Effect of Tillage, Previous Crop, and N Fertilization on Agronomic and Economic Performances of Durum Wheat (Triticum durum Desf.) under Rainfed Semi-Arid Environment. Agronomy. 2020; 10(8):1161. https://doi.org/10.3390/agronomy10081161

Chicago/Turabian Style

Souissi, Amir, Haithem Bahri, Hatem Cheikh M’hamed, Mohamed Chakroun, Salah Benyoussef, Ayman Frija, and Mohamed Annabi. 2020. "Effect of Tillage, Previous Crop, and N Fertilization on Agronomic and Economic Performances of Durum Wheat (Triticum durum Desf.) under Rainfed Semi-Arid Environment" Agronomy 10, no. 8: 1161. https://doi.org/10.3390/agronomy10081161

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop