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BMC Plant Biol
BMC Plant Biol
BMC Plant Biology
1471-2229
BioMed Central London

5537
10.1186/s12870-024-05537-z
Research
Planting pattern and nitrogen management strategies: positive effect on yield and quality attributes of Triticum aestivum L. crop
Azam Muhammad Farooq 1
Bayar Jalal 1
Iqbal Babar 2
Ahmad Uzair 1
Okla Mohammad K. 3
Ali Nawab 4
Alaraidh Ibrahim A. 3
AbdElgawad Hamada 5
Jalal Arshad arshad.jalal@unesp.br

6
1 https://ror.org/02sp3q482 grid.412298.4 0000 0000 8577 8102 Department of Agronomy, Faculty of Crop Production Sciences, The University of Agriculture, Peshawar, 25000 Pakistan
2 https://ror.org/03jc41j30 grid.440785.a 0000 0001 0743 511X School of Emergency Management, School of Environment and Safety Engineering, Jiangsu Province Engineering Research Center of Green Technology and Contingency Management for Emerging Pollutants, Jiangsu University, Zhenjiang, 212013 People’s Republic of China
3 https://ror.org/02f81g417 grid.56302.32 0000 0004 1773 5396 Botany and Microbiology Department, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451 Saudi Arabia
4 https://ror.org/05hs6h993 grid.17088.36 0000 0001 2195 6501 Biosystems and Agricultural Engineering, Michigan State University, East Lansing, MI 48824 USA
5 https://ror.org/008x57b05 grid.5284.b 0000 0001 0790 3681 Integrated Molecular Plant Physiology Research, Department of Biology, University of Antwerp, Antwerp, 2020 Belgium
6 https://ror.org/00987cb86 grid.410543.7 0000 0001 2188 478X School of Engineering, Department of Plant Health, Rural Engineering and Soils, São Paulo State University - UNESP-FEIS, Ilha Solteira, São Paulo, 15385-000 Brazil
9 9 2024
9 9 2024
2024
24 8453 7 2024
22 8 2024
© The Author(s) 2024
2024
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Wheat (Triticum aestivum L.) is a staple food crop that plays a crucial role in global food security. A suitable planting pattern and optimum nitrogen (N) split management are efficient practices for improving wheat production. Therefore, an experiment was performed to explore the effect of N split management and sowing patterns on wheat at the Agronomy Research Farm, The University of Agriculture Peshawar, during rabi season 2020-21 and 2021-22. The treatments consisted of different nitrogen rates of 0, 80, 120, and 160 kg ha− 1 and planting patterns of W, M, broadcast and line sowing. The pooled analysis of both cropping seasons showed that application of 120 kg N ha− 1 increased spikelets spike− 1, grains spike− 1, 1000 grains weight, grain yield, grain N content, evapotranspiration and water use efficiency by 21.9, 16.7, 21.8, 70, 13, 19.9 and 40% as compared to control, respectively. In addition, W and M were observed the best management practices among all planting patterns. The M planting pattern enhanced chlorophyll a, b, carotenoids and evapotranspiration while W plating pattern improved yield components and yield of wheat as compared to broadcast planting patterns. The principal component analysis biplot showed a close association of M and W planting patterns with 120 kg N ha− 1 in most of the studied traits. Hence, it is concluded that split application of 120 kg N ha− 1 in W and M sowing patterns enhanced growth, biochemical traits and water use efficiency, reducing N fertilization from 160 to 120 kg ha− 1 while increasing grain yield of wheat. Hence, it is recommended that application of 120 kg N ha⁻¹ in combination with W and M planting patterns offer a sustainable approach to enhancing wheat production in the alkaline soil conditions of the Peshawar valley.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12870-024-05537-z.

Keywords

Nitrogen management
Evapotranspiration
Spatial arrangement
Water use efficiency
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pmcIntroduction

Wheat belongs to the family of Poaceae, widely produced grain and a primary nourishment for humans that occupies 3rd rank among the cereals and contributes 65% to food and 17% to feed worldwide [1]. It is one of the richest source of calories among major cereals with minute quantity of animal or legume protein [2] and contributing about 20% of the total dietary calories and proteins to human food [3]. The projected global population of 9.7 billion by 2050 demands for the expansion of wheat cultivation, hence, its needed to adapt cutting-edge agronomic practices that guarantee sustainable expansion of wheat cultivation with greater yield [4].

Nitrogen (N) fertilizer is known for its multifaceted impacts that plays a crucial role in chlorophyll formation, amino acid synthesis, and overall plant vigor for better growth and production [5]. Nitrogen management strategies optimize fertilizer consumption that improve quality and yield in a sustainable manner [6]. However, excessive use of N fertilizer may affect soil health and groundwater that cause lodging and degrading grains quality as well as increasing susceptibility to insects and diseases, affecting both human and environment health [7, 8] while the inadequate N fertilizer can result in stunted growth and low production [9]. Therefore, application of N at the right time to coincide with growth stages is crucial to enhance N uptake and assimilation for sustainable and quality production of wheat [10]. Nitrogen fertilizer is considered as one of the primary strategies for improving grain yield and protein content [11]. Nitrogen split application produce higher grain yield instead of single N dose application [12]. The efficient N dose splits together with the N application according to the crop requirement have been found effective for N uptake and utilization, which in turn producing greater biomass and grain yield [13]. Therefore, it is important to find agronomic management practices that increase efficiency of water and fertilizers to ensure sustainable crop production and healthy environment.

Management practices like adequate fertilizers application and optimized planting pattern have been observed to enhance N uptake by increasing root density of wheat [14]. The combination of narrow row spacing with higher N rates has enhanced N uptake and utilization, resulting in greater biomass and grain yield [12]. It has also reported that modified planting pattern can enhance N use efficiency and grain yield of wheat by increasing N uptake and number of tillers/spikes [15]. In addition, optimal planting pattern is an important practice that can increase soil moisture retention and decrease evaporation, particularly in water-limited regions, thus increasing water use efficiency and nutrient transportation during growth period of wheat [16]. The standard row-planting pattern can delay intraspecific competition with the crop plants and begin interspecific competition with weeds, which increase initial growth of crop plants by consuming more natural resources [17]. Planting pattern is directly affected by light interception and evaporation and indirectly by water use efficiency. An appropriate planting pattern increasing planting canopy due to higher light interception and nutrient management suppresses weeds emergence, which in turn increase crop vegetative growth and final product [18].

Despite the known benefits of N management and planting patterns on wheat yield and quality, there still exist lack of research on the integration of these two agronomic practices to optimize wheat production. The potential research gap lies in understanding the synergistic effects of various planting patterns and N management strategies on wheat yield and yield components and overall sustainability. The hypothesis of the study was that integration of optimal planting patterns with precise N management would significantly enhance wheat yield, quality, evapotranspiration (ET) and water use efficiency (WUE) thus contributing to sustainable wheat production practices. To examine the hypothesis, in this context, this study aimed to establish an effective relationship between planting patterns and N rates for enhancing yield and yield attributes, quality parameters, evapotranspiration and water use efficiency. This approach will address current challenges in wheat cultivation that will provide future direction for sustainable management practices aimed at meeting global food demand.

Materials and methods

Experimental site and climate

A field experiment was performed to execute the effect of planting pattern and nitrogen (N) management effect on yield and yield components of wheat (Triticum aestivum L.) at Agronomy Research Farm, The University of Agriculture Peshawar, during rabi season 2020-21 and 2021-22. The research site is located at 34° N latitude and 71° E longitude, at an elevation of 358 m (Fig. 1).

Fig. 1 Description of geographical location of the study area

The region is characterized by a semi-arid and subtropical climate, with an average annual precipitation of 403 mm. The summer months (May to September) typically experience an average maximum temperature of 40 °C and an average minimum temperature of 25 °C. In contrast, during the winter months (December to March), the average maximum temperature is 18.4 °C, and the average minimum temperature is 3 °C. The meteorological data of the experimental site during both agricultural year is summarized in Fig. 2.

Fig. 2 Meteorological data of experimental site during 2020-21 and 2021-22 cropping seasons

Treatments and management

Experiment was conducted in randomized complete block split design in a 4 × 4 factorial scheme, consisting of four replications. The treatments consisted of four N rates as a main factor (N0 = 0, N1 = 80, N2 = 120, N3 = 160 kg ha− 1), applied from urea (46% N). Nitrogen rates were applied in three splits; 80 kg N ha− 1 applied at once during sowing time, 120 kg N ha⁻¹ applied in two splits: 2/3rd during sowing time and 1/3rd applied two weeks after emergence, 160 kg N ha⁻¹ applied in two splits: 2/3rd during sowing time and 1/3rd at anthesis. The subfactor consisted of four planting pattern methods (broadcast, line planting, W planting and M planting (Fig. 3). The net plot size was 7.2 m2 (3m × 2.4 m) with 8 rows and a row-row distance of 30 cm. Sowing was carried out with manual drill. Wheat variety “Khaista 2017”, characterized as stress-tolerant and high productive, was sown on 13th November 2020-21 and 15th November 2021-22. The recommended dose of phosphorus and potassium was applied as a basal dose of 80 and 60 kg ha− 1 from diammonium phosphate and muriate of potash. Weeds population during crop growth was suppressed with application of Agritop 500 G/L® at the rate of 0.43 kg a.i. ha− 1 of MCPA (2-methyl-4-chlorophenoxyacetic acid). Irrigation needs of the crops are met through channels connected to the Kabul River. The crop was irrigated with flood irrigation system, first season crop was irrigated with 200 mm as compared to second season (100 mm). Harvesting in both experimental years was carried out in the mid of April, each season.

Fig. 3 Schematic diagram of different planting patterns

Observations and procedures

Agronomic traits

Plant height (cm) was determined by measuring 10 random tillers in each plot using a meter tape from the bottom to the tip. Productive tillers m− 2 were quantified by enumerating tillers with spikes in the central row of each plot and converted to a per square meter basis. Spikelets and grain spike− 1 were recorded by selecting randomly spikes in each plot and enumerating the spikelets and grains on each spike. Thousand grains were counted and weighed using a precise electronic balance for 1000 grains weight (g). Biological and grain yield (kg ha− 1) was calculated by harvesting plot, followed by drying, weighing, threshing and converting the values to kilograms per hectare.

Grain nitrogen and uptake determination

A specific quantity of grains from each experimental unit was dried at 70 °C for 72 h in ana airtight oven. The material was crushed into fine powder for the determination of total nitrogen content in grains using micro-Kjeldahl method following the AOAC guidelines. The uptake of nitrogen was obtained by multiplying the grain yield by their respective grain nitrogen %.

Crop evapotranspiration (ET) and water use efficiency (WUE)

Precipitation (mm) and consumption of stored soil water (mm) in the 0–300 cm layer was used to calculate ET and WUE by the equations below.

\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\:ET\hspace{0.17em}=\hspace{0.17em}SW0\hspace{0.17em}-\hspace{0.17em}SW1\hspace{0.17em}+\hspace{0.17em}P$$\end{document}

\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\:WUE\:(kg\:ha-\hspace{0.17em}1\:mm-\hspace{0.17em}1)\hspace{0.17em}=\hspace{0.17em}GY/ET$$\end{document}

Here, SW0 corresponds to the level of soil water storage before the initiation of sowing, whereas SW1 represents the soil water storage post-harvest. The variable P is indicative of the amount of precipitation received during the wheat growth period. Water use efficiency was calculated from the fraction of grain yield into evapotranspiration.

Plants photosynthetic pigments

The chlorophyll content of the leaves was measured using a spectrophotometer (UV-4000, OR1, Germany). Fresh leaf samples were collected from each plot and kept in the dark at 4 °C for 48 h then extracted in 5 ml of an 80% acetone solution (v/v). The concentration of carotenoid, total chlorophyll, and chlorophyll (Chl a and Chl b) were measured at absorbance (A) of wavelength 663.2, 646.8, and 470 nm. The concentrations of carotenoids, Chl a, and Chl b, were calculated using protocols of Lichtenthaler [19], and expressed in mg g− 1 of fresh leaf weight (FW).

Chl a (mg g− 1) = 12.25A663.2 – 2.79A646.8

Chl b (mg g− 1) = 21.50A646.8 – 5.10A663.2

Total Carotenoids (mg g− 1) = 1000A470 – 1.82Chl a – 85.02Chl b

Statistical analysis

Data analysis and means of each category were compared using the Least Significant Difference (LSD) test at P value equal or less than 0.05 (P ≤ 0.05) [20]. Scatter plots were drawn using Excel 2010 while PCA was performed using Origin pro-2024.

Results

Weather data showed that total precipitation was higher during first cropping season - as compared to second cropping season (Fig. 1). The highest maximum mean temperature was recorded in the month of March in both years. The lowest minimum mean temperature was recorded in the month of December and January during first and second cropping seasons, respectively (Fig. 1). Nitrogen rates and planting patterns influenced different attributes of wheat in pooled analysis of 2020-21 and 2021-22 cropping (Supply Table 1). The treatments showed different responses to various attributes of wheat while the interaction between treatments and years was not significant for the studied attributes (Supply Table 1).

Plant photosynthetic pigments

The data analysis showed that plant photosynthetic pigments of wheat leave were significantly different, when subjected to various N rates in different planting patterns. The interaction between N rates and planting patterns (N×P) was not significant for chlorophyll a and b and carotenoids in leaves (Table 1).

Table 1 Pooled analysis of plant pigments (mg g− 1) of wheat as influenced by nitrogen rates and various planting patterns in 2020-21 and 2021-22

Treatments	Chlorophyll a (mg g− 1)	Chlorophyll b (mg g− 1)	Carotenoids (mg g− 1)	
Nitrogen (N) rates (kg ha− 1)	
Control	6.62 c	3.94 c	7.1 c	
N1 = 80	6.91 b	4.27 b	7.5 b	
N2 = 120	7.27 a	4.52 b	7.8 a	
N3 = 160	7.21 a	4.93 a	8.0 a	
LSD (0.05)	0.18	0.27	0.19	
Planting patterns (P)	
Broadcast	6.44 c	4.06 c	7.2 c	
Line-Planting	6.85 d	4.28 bc	7.7 b	
M-planting	7.40 a	4.81 a	8.1 a	
W-planting	7.21 b	4.51 b	7.4 c	
LSD (0.05)	0.18	0.27	0.19	
N×P	ns	ns	ns	
Means with different letters are statistically significant at P value equal or less than 0.05 using LSD test. Different means with similar letters are statistically non-significant. ns = non-significant

Application of N at the rates of 120 and 160 kg ha− 1 increased chlorophyll a content by 9.81% and 8.91%, respectively as compared to control. Leaf chlorophyll b and carotenoid contents were increased by 25.12% and 12.67% with application of N at the rate of 160 kg ha− 1 as compared to control. In addition, among the planting patterns, M-planting pattern was observed with highest leaf chlorophyll a (14.91%), chlorophyll b (18.47%) carotenoids (12.50%) content as compared to broadcasting sowing method.

Yield attributes

The pooled analysis indicated that application of various N rates in different planting patterns showed significant differences on plant height and yield attributes of wheat while the interaction between N rates and planting patterns was non-significant except for spikelets spike− 1 and grain spike− 1 (Table 2).

Table 2 Pooled analysis of yield related traits of wheat as influenced by nitrogen rates and various planting patterns in 2020-21 and 2021-22

Treatments	Plant height (cm)	Productive tillers m− 2	Spikelets spike− 1	Grains spike− 1	1000 grains weight (g)	
Nitrogen (N) rates (kg ha− 1)	
Control	83.4 d	207 d	16.9 d	42 d	36 d	
N1 = 80	91.6 c	240 c	18.6 c	46 c	40 c	
N2 = 120	97.7 b	292 a	20.6 a	49 a	45 a	
N3 = 160	99.7 a	267 b	19.3 b	48 b	42 b	
LSD (0.05)	1.6	8	0.6	1	2	
Planting patterns (P)	
Broadcast	90.2 c	228 c	17.8 c	45 b	38 c	
Line-planting	92.7 b	253 b	18.5 b	46 b	40 b	
M-planting	95.0 a	262 a	19.3 a	47 a	40 b	
W-planting	94.5 a	263 a	19.8 a	47 a	43 a	
LSD (0.05)	1.6	8	0.6	1	2	
N×P	ns	ns	**	***	ns	
Means with different letters are statistically significant at P value equal or less than 0.05 using LSD test. Different means with similar letters are statistically non-significant. ns = non-significant. ** = P < 0.01 and *** = P < 0.001

Plant height was increased by 19.52% with application of 160 kg N ha− 1 while productive tillers and 1000 grains weight were increased by 41.06 and 25% with application of 120 kg N ha− 1 as compared to control (Table 2). The M-planting pattern increased plant height by 5.32%, which was statistically not different from the W-planting pattern as compared to other planting patterns. Similarly, the W-planting pattern increased productive tillers and 1000 grains weight by 15.35 and 13.16% as compared to broadcasting, respectively. The interaction of N rates and planting pattern showed that spikelets spike− 1 and grain spike− 1 were increased with the N application at the rate of 120 kg ha− 1 in the M and W-planting patterns as compared to other treatments (Fig. 4a and b). The lowest spikelets spike− 1 and grain spike− 1 were observed in broadcasting sowing method without N application.

Fig. 4 Interactive effect of nitrogen rates and sowing patterns on spikelets spike− 1 and grains spike− 1 (Fig. 4a, and 4b respectively). Error bars indicate the standard error of the mean. The uppercase letters are used for nitrogen rates interactions within each planting patterns, whereas lowercase letters are used for the planting pattern within each nitrogen rates. The identical alphabetic letters do not differ from each other, as analyzed by LSD (nitrogen rates; p < 0.05) and (planting pattern; p < 0.05) test for both years. (n = 4 replications)

Biological and grain yield

Analysis of the data revealed that biological and grain yield was significantly affected by different N rates and planting patterns (Supply Table 3). The interaction between N rates and planting patterns was also found significant. Biological yield was increased by 35.06% with application of 160 kg N ha− 1, while grain yield was improved by 70.52% with application of 120 kg N ha− 1 as compared to control. M-planting pattern increased biological and grain yield by 9.33 and 10.57% as compared to broadcasting, respectively. Similarly, the W-planting pattern increased biological and grain yield by 10.53 and 14.40% as compared to broadcasting, respectively. The interaction of N rates and planting pattern showed that grain and biological yield were increased with the N application at the rate of 120 and 160 kg ha− 1, respectively in the M and W-planting patterns as compared to other treatments (Fig. 5a and b).

Table 3 Pooled analysis of evapotranspiration and water use efficiency of wheat as influenced by nitrogen rates and various planting patterns in 2020-21 and 2021-22

Treatments	Evapotranspiration (mm)	Water use efficiency (kg ha− 1 mm− 1)	
Nitrogen (N) rates (kg ha− 1)	
Control	306 d	5.60 d	
N1 = 80	330 c	6.36 c	
N2 = 120	367 a	7.86 a	
N3 = 160	340 b	7.19 b	
LSD (0.05)	6	0.24	
Planting patterns (P)	
Broadcast	323 d	6.37 c	
Line-planting	330 c	6.71 b	
M-planting	352 a	6.93 a	
W-planting	338 b	6.98 ab	
LSD (0.05)	6	0.24	
N×P	**	ns	
Means with different letters are statistically significant at P value equal or less than 0.05 using LSD test. Different means with similar letters are statistically non-significant. ns = non-significant. ** = P < 0.01 and *** = P < 0.001

Fig. 5 Interactive effect of nitrogen rates and sowing patterns on grain and biological yield (kg ha− 1) (Fig. 5a and b, respectively). Error bars indicate the standard error of the mean. The uppercase letters are used for nitrogen rates interactions within each planting patterns, whereas lowercase letters are used for the planting pattern within each nitrogen rates. The identical alphabetic letters do not differ from each other, as analyzed by LSD (nitrogen rates; p < 0.05) and (planting pattern; p < 0.05) test for both years. (n = 4 replications)

Grain nitrogen content and uptake

Pooled analysis showed that grain N content and its uptake was significantly affected by different N rates, while planting pattern had significant effect on grain N content and had no effect on grain N uptake (Supply Table 3). The interaction between N rates and planting patterns was found significant. Grain N content was increased by 13.04% with application of 120 kg N ha− 1, while grain N uptake was increased by 40.0% with application of 160 kg N ha− 1 as compared to control. M-planting pattern increased grain N content by 6.1%, which was statistically not different from the W-planting pattern as compared to other planting patterns. The interaction of N rates and planting pattern showed that grain N content was increased with the N application at the rate of 120 kg ha− 1, in the M and W-planting patterns as compared to other treatments (Fig. 6a and b). The lowest grain N content and grain N uptake were observed in broadcasting sowing method without N application.

Fig. 6 Interactive effect of nitrogen rates and sowing patterns on nitrogen content and N uptake (Fig. 6a and b, respectively). Error bars indicate the standard error of the mean. The uppercase letters are used for nitrogen rates interactions within each planting patterns, whereas lowercase letters are used for the planting pattern within each nitrogen rates. The identical alphabetic letters do not differ from each other, as analyzed by LSD (nitrogen rates; p < 0.05) and (planting pattern; p < 0.05) test for both years. (n = 4 replications)

Crop evapotranspiration and water use efficiency

The pooled analysis indicated that application of various N rates in different planting patterns showed significant differences on crop evapotranspiration (ET) and water use efficiency (WUE), while the interaction between N rates and planting patterns was significant only for ET (Table 3).

ET (367 mm) and WUE (7.86 kg ha− 1 mm− 1) was substantially higher when 120 kg N ha− 1 was applied as compared to control. M-planting pattern recorded more ET (352 mm) as compared to broadcasting. W-planting pattern recorded improved WUE (6.98 kg ha− 1 mm− 1), which was statistically not different from the M-planting pattern as compared to other planting patterns. The interaction of N rates and planting pattern showed that ET and WUE were increased with N application at the rate of 120 kg ha− 1 in the M and W-planting patterns as compared to other treatments (Fig. 7). The lowest ET and WUE were observed in broadcasting sowing method without N application.

Fig. 7 Interactive effect of nitrogen rates and planting patterns on crop evapotranspiration (mm). Error bars indicate the standard error of the mean. The uppercase letters are used for nitrogen rates interactions within each planting patterns, whereas lowercase letters are used for the planting pattern within each nitrogen rates. The identical alphabetic letters do not differ from each other, as analyzed by LSD (nitrogen rates; p < 0.05) and (planting pattern; p < 0.05) test for both years. (n = 4 replications)

Principal component analysis (PCA)

Principal component analysis was performed to determine the effect of various nitrogen levels in different planting patterns on agronomic traits, grain nitrogen content and uptake as well as ET and WUE of wheat. The effect of these parameters of wheat against combined treatments are presented as PC1 (principal component 1) and PC2 (principal component 2). The variables explained 88.45% of the variations in the first two axes (PC1 and PC2). PC1 and PC2 explained 81.72% and 6.73% of the total variance. The results clarified that all parameters did not show any association with N0 when combine with all planting patterns. Chlorophyll b and carotenoids were associated with N3 in W planting. Biological yield and chlorophyll a were highly associated with N3 when applied in line and W planting pattern. Parameters such as tillers m− 2, spikelets spikes− 1, grains spike− 1, 1000 grain weight, WUE and ET of wheat was positive correlated with N2 when applied in line, M and W planting patterns (Fig. 8).

Fig. 8 Principal component analysis (PCA) for studied traits of wheat against different combinations of nitrogen rates and various planting patterns during 2020-21 and 2021-22. N0 = control, N1 = 80 kg N ha− 1, N2 = 120 kg N ha− 1 and N3 = 160 kg N ha− 1 while B = broadcasting, L = line planting, M = M planting and W = W planting pattern

Association between grain yield and grain N content with nitrogen levels at different planting patterns

Significant difference was noted when relationship was plotted between grain yield and gain nitrogen content at different nitrogen levels in different planting conditions (Fig. 9).

Fig. 9 Correlation between grain yield and grain N content (%) at different nitrogen rates (y1 = N0, y2 = N1, y3 = N2 and y4 = N3) at broadcasting (a), line planting (b), M planting (c) and W planting pattern(d)

N0 showed no significant effect of grain yield on grain content However, it grains N slightly improved with increasing grain yield in line planting (b). Similarly, nitrogen dose of N1 showed weak positive interaction between yield and grain N in W planting as compared to other planting patterns that showed no association. Application of N2 and N3 reported no significant correlation except for N3 in line planting pattern that showed moderate correlation.

Association between grain yield and evapotranspiration with nitrogen levels at different planting patterns

Variability was observed when relationship was plotted between grain yield and evapotranspiration (ET) at different nitrogen levels in different planting conditions (Fig. 10).

Fig. 10 Correlation between evapotranspiration (mm) and nitrogen levels (y1 = N0, y2 = N1, y3 = N2 and y4 = N3). (a) Evapotranspiration with broadcast planting, (b) Evapotranspiration with line planting, (c) Evapotranspiration with M planting and (d) Evapotranspiration with W planting

N0 showed negative correlation of grain yield with ET in broadcast, line and W planting patterns (a, b and d) except in M planting, where it showed small positive correlation (c). More evapotranspiration occurred in response to increasing grain yield with N1 as indicated by linear correlation at broadcast planting (a) whereas this correlation became weaker at M planting and got highly negative at W planting (d) indicating significant effect of planting patterns. There was no prominent relationship discovered between grain yield and ET when N2 was applied except for M planting, where moderate to high correlation was noted. Lastly, N3 level showed positive correlation between grain yield and ET in broadcast and M planting. However, the relationship was negative in line planting and very weak in W planting (d).

Discussion

The study demonstrated significant benefits of optimized planting patterns and nitrogen (N) management strategies on wheat growth and yield (Figs. 3 and 9). Effective implementation of these strategies has the potential to enhance plant growth, yield components, and productivity, thereby contributing to sustainable agricultural practices (Supply Table 1). A linear increase in chlorophyll a, chlorophyll b, and carotenoids was observed with increasing N rates (Table 1). This is because wheat exposed to higher N levels can capture more sun-light and uptake more nutrients from the soil, leading to an enhanced rate of photosynthesis and greater leaf area index, which resulted in greater production of photopigments [21, 22]. It has also reported that higher N rates could increase transportation of photosynthetic N that consequently improve plant photosystem [23]. The present study also indicated that W and M planting patterns had improved plant pigment as compared to traditional planting pattern (Table 1), as exposing plant canopy and leaf orientation to light from a better angle can enhance photosynthesis and photosynthetic pigments.

The current results noticed that higher rates of N and planting patterns were observed with taller plants compared to lower rate of N and broadcasting (Table 2). It has previously reported that N fertilization stimulates shoot elongation that could help the plants to reach to maximum plant height [24]. Liu et al. [25] also verified that high N levels have substantial impact on plant growth and consequently boosted plant height. Previous study indicated that W planting induced a correlation with some important agronomic traits, which enhance plant height [26]. The present results recorded that high N rates and planting patterns improved productive tillers m− 2 (Table 2), probably due to the efficient use of nutrient resources, enhanced biomass and prolonged green leaf retention, which increase tiller m− 2 and plant height [27]. It has observed that high N application can improve chlorophyll content and translocation of assimilates to sink, thus increasing number of productive tillers [28]. The W pattern provide more space between plants and less competition for the utilization of the resources and light, which can be the possible reason for more tillering and dry matter of wheat [29, 30].

Number of grains and spikelets spike− 1 are the key yield components that significantly contribute to greater crop yield [31]. Spikelets and grains spike− 1 were increased with N2 application (Fig. 4), supported by Hussain et al. [32] who reported that N deficiency decreases the rate of primordium initiation, resulting in reduced spikelets [33]. Higher number of spikelets and grains spike− 1 were recorded with W and M planting patterns (Table 2). The optimal arrangement of plants creating a favorable microenvironment that balances competition and use of resource, although the spacing in M pattern may not be as wide as in the W pattern but could still reduce competition for similar benefits. Similarly, Xin et al. [30] stated that numbers of spikelets spike− 1 were increased in wider planting pattern than in the conventional cultivation.

Furthermore, maximum thousand grains weight was observed with the higher N rates as compared to other treatments (Table 2). Kubar et al. [34] explained that there is a direct correlation of N rates and thousand grains weight [35]. The present study observed greater thousand grains weight within W and M planting patterns (Table 2). Bian et al. [29] recorded greater thousand grains weight in W planting pattern compared to others.

Our results reported that application of N at a rate of 160 kg ha− 1 and improved planting pattern were observed with greater biological yield (Supply Table 2; Fig. 5a). The reason could be the effectiveness of N application in increasing number of tillers that could reflect in plant population and consequently greater biomass [36, 37]. The W planting pattern due to its spatial arrangement, enhances photosynthetic capacity, increases chlorophyll levels, and prolonged the growth stage, leading to higher photosynthetic production and ultimately resulting in greater biomass. [38]. Moreover, grain yield was greatly improved with higher rates of N and planting patterns as compared with lower rates of N and broadcasting (Supply Table 2; Fig. 5b). The relationship of N to grain yield obeys the law of diminishing returns that means yield increases with increasing N consumption but at higher rates of N, yield gradually reduce [39]. The W-planting pattern might have enhanced canopy structure, leading to more effective transpiration rate and nutrient uptake including N, which is vital for grain development [30]. Likewise, observations were also observed by Bain et al. [29] that grain yield was significantly higher (4% in 2013–2014 and 10% in 2014–2015) in W planting pattern than in conventional.

Nitrogen application is widely recognized as an important factor in promoting protein storage and wheat grain quality [40, 41]. Improved N concentration observed in wheat grains under the highest N application rate (Supply Table 2; Fig. 6a), facilitating N translocation during the grain-filling phase [42]. Similarly, Arduini et al. [43] reported higher grain N concentration in bread wheat from 1.52 to 2.28% with the N application from 60 to 120 kg ha− 1. Our results verified that N2 (120 kg ha⁻¹) improved grains N uptake in wheat while further improvement to N3 (160 kg N ha⁻¹) reduced grain N uptake (Fig. 6b). Several previous studies documented that increasing N rates beyond certain thresholds in prevailing environmental conditions does not enhance N uptake and exerts negligible influence on grain yield [44, 45]. Moreover, surplus N application has been associated with a phenomenon known as luxury absorption that led to a reduction in yield [46]. Higher grain N uptake was associated with M and W planting patterns as compared to line and broadcasting (Fig. 6b). The change in spatial arrangement of plant could increase N use efficiency that led to higher N gain in wheat grains [30]. Consistent with our findings, Yang et al. [47] recorded higher N uptake and utilization in improved wheat planting methods.

Evapotranspiration (ET) peaked at 120 kg N ha⁻¹ and showed no further increase at higher N concentrations (Table 3), aligning with findings from previous studies [48–50]. This phenomenon can be attributed to the higher N rates, fostering biomass accumulation and substantial canopy development, resulting in greater aboveground shading [48]. Higher N rates, such as N3 (160 kg ha− 1) promote vigorous plant growth and a denser canopy, which increases shading, reduces soil evaporation, and alters the microclimate by raising humidity and lowering wind speed at the soil surface. These factors contribute to lower ET compared to the treatments with less canopy cover. Application of N fertilizers can significantly increase water use efficiency (WUE) of wheat [51]. In our study, WUE was improved with application of N2 and N3 rates (Table 4), primarily because higher nitrogen concentrations enhanced photosynthesis more effectively than they increase transpiration (Fig. 10). As emphasized by Ashraf et al. [52] that appropriate N fertilizer application (100–200 kg N ha− 1) could efficiently increase crop yield, ET and WUE. ET was higher at M planting followed by W planting whereas both M and W planting patterns showed improved WUE (Table 4). These two new planting patterns that has wider rows at one end and narrower at other end, might have contributed effectively to factors like canopy development, microclimate modification, soil cover, and root distribution, led to improved parameters like ET and WUE. Previous study by Noor et al. [31], who stated that wide-space sowing (WS) and furrow sowing (FS) improved ET and WUE of wheat compared to traditional planting.

Conclusions

The findings of the study indicated that optimal application of nitrogen, specifically at a rate of 120 kg ha− 1 (N2–2/3rd during sowing time and 1/3rd applied two weeks after emergence) resulted in greater yield and yield components of wheat. Additionally, among different planting patterns, W and M patterns showed superior performance, yielding maximum output in terms of both yield and yield components, when compared to broadcast and line planting methods. These results highlight the critical role of precise nitrogen management and effective planting patterns in enhancing wheat production efficiency which is essential for addressing future food security needs. Further research could explore these practices in different climatic conditions and refine recommendations for various wheat-growing regions. This would ensure that the benefits observed in this study can be realized more broadly, contributing to sustainable wheat production on a global scale in the future.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary Material 1

Acknowledgements

The authors extend their appreciation to the Researchers Supporting Project number (RSP2024R176) King Saud University, Riyadh, Saud Arabia.

Author contributions

M.F.A: Investigation; Conceptualization; writing - original draft; J.B and N.A: Investigation; Methodology, writing - original draft; B.I: Investigation; methodology, review & editing; U.A: Investigation; M.K.O: writing - review & editing; N.A: Writing - review & editing, methodology; I.A. A: Investigation; methodology; H.A: Conceptualization; A.J: Project administration; writing - review & editing. All authors have read and agreed to the published version of the manuscript.

Funding

Not Applicable.

Data availability

The data was used for the research described in the article and will be made available on request.

Declarations

Ethics approval and consent to participate

Not Applicable.

Consent for publication

Not Applicable.

Competing interests

The authors declare no competing interests.

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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References

1. FAO. Statistical Yearbook. Food and Agriculture Organization of the United Nations. 2013. p. 289.
2. Giraldo P Benavente E Manzano-Agugliaro F Gimenez E Worldwide research trends on wheat and barley: a bibliometric comparative analysis Agronomy 2019 9 7 352 10.3390/agronomy9070352
Giraldo P, Benavente E, Manzano-Agugliaro F, Gimenez E. Worldwide research trends on wheat and barley: a bibliometric comparative analysis. Agronomy. 2019;9(7):352. 10.3390/agronomy9070352.10.3390/agronomy9070352
3. FAO. Food and Agriculture Organization of the United Nations. Retrieved from FAO website; 2021.
4. Tilman D Clark M Williams DR Kimmel K Polasky S Packer C Future threats to biodiversity and pathways to their prevention Nature 2021 546 7656 73 81 10.1038/nature22900
Tilman D, Clark M, Williams DR, Kimmel K, Polasky S, Packer C. Future threats to biodiversity and pathways to their prevention. Nature. 2021;546(7656):73–81.10.1038/nature22900
5. Rahman M Ali S Khan M Nitrogen management in wheat production J Plant Nut Soil Sci 2022 185 6 902 13 10.1002/jpln.202200058
Rahman M, Ali S, Khan M. Nitrogen management in wheat production. J Plant Nut Soil Sci. 2022;185(6):902–13. 10.1002/jpln.202200058.10.1002/jpln.202200058
6. Lu DJ Lu EF Yan P Cui ZL Chen XP Elucidating population establishment associated with N management and cultivars for wheat production in China Field Crops Res 2014 163 1 81 9 10.1016/j.fcr.2014.03.022
Lu DJ, Lu EF, Yan P, Cui ZL, Chen XP. Elucidating population establishment associated with N management and cultivars for wheat production in China. Field Crops Res. 2014;163(1):81–9. 10.1016/j.fcr.2014.03.022.10.1016/j.fcr.2014.03.022
7. Kumar A Pramanick B Mahapatra BS Singh SP Shuka DK Growth, yield, and quality improvement of flax (Linum usitatissimum L.) grown under Tarai region of Uttarakhand, India through integrated nutrient management practices Ind Crop Prod 2019 140 111710 10.1016/j.indcrop.2019.111710
Kumar A, Pramanick B, Mahapatra BS, Singh SP, Shuka DK. Growth, yield, and quality improvement of flax (Linum usitatissimum L.) grown under Tarai region of Uttarakhand, India through integrated nutrient management practices. Ind Crop Prod. 2019;140:111710. 10.1016/j.indcrop.2019.111710.10.1016/j.indcrop.2019.111710
8. Naik BSS Sharma SK Pramanick B Chaudhary R Yadav SK Tirunagari R Gaber A Hossain A Silicon in combination with farmyard manure improves the productivity, quality, and nitrogen use efficiency of sweet corn in an organic farming system Silicon 2022 14 5733 43 10.1007/s13593-022-00761-7
Naik BSS, Sharma SK, Pramanick B, Chaudhary R, Yadav SK, Tirunagari R, Gaber A, Hossain A. Silicon in combination with farmyard manure improves the productivity, quality, and nitrogen use efficiency of sweet corn in an organic farming system. Silicon. 2022;14:5733–43. 10.1007/s13593-022-00761-7.10.1007/s13593-022-00761-7
9. Lassaletta L Sanz-Cobena A Aguilera E Quemada M Billen G Bondeau A Cayuela ML Cramer W Eekhout JP Garnier J Grizzetti B Intrigliolo DS Ruiz Ramos M Romero E Vallejo A Gimeno BS Nitrogen dynamics in cropping systems under Mediterranean climate: a systemic analysis Environ Res Lett 2021 16 7 073002 10.1088/1748-9326/ac002c
Lassaletta L, Sanz-Cobena A, Aguilera E, Quemada M, Billen G, Bondeau A, Cayuela ML, Cramer W, Eekhout JP, Garnier J, Grizzetti B, Intrigliolo DS, Ruiz Ramos M, Romero E, Vallejo A, Gimeno BS. Nitrogen dynamics in cropping systems under Mediterranean climate: a systemic analysis. Environ Res Lett. 2021;16(7):073002. 10.1088/1748-9326/ac002c.10.1088/1748-9326/ac002c
10. Zhang Y Chen H Ding S Wang D Zhang J Optimizing nitrogen application strategy to improve wheat yield and nitrogen use efficiency Front Plant Sci 2021 12 663412
Zhang Y, Chen H, Ding S, Wang D, Zhang J. Optimizing nitrogen application strategy to improve wheat yield and nitrogen use efficiency. Front Plant Sci. 2021;12:663412.
11. Grant CA Wu R Selles F Harker KN Clayton GW Bittman S Lupwayi NZ Crop yield and nitrogen concentration with controlled release urea and split applications of nitrogen as compared to non-coated urea applied at seeding Field Crops Res 2012 127 170 80 10.1016/j.fcr.2011.11.002
Grant CA, Wu R, Selles F, Harker KN, Clayton GW, Bittman S, Lupwayi NZ. Crop yield and nitrogen concentration with controlled release urea and split applications of nitrogen as compared to non-coated urea applied at seeding. Field Crops Res. 2012;127:170–80. 10.1016/j.fcr.2011.11.002.10.1016/j.fcr.2011.11.002
12. Kumar S Singh R Sharma V Combined effect of planting pattern and nitrogen levels on wheat yield J Plant Nutr 2021 44 5 710 25 10.1080/01904167.2020.1834176
Kumar S, Singh R, Sharma V. Combined effect of planting pattern and nitrogen levels on wheat yield. J Plant Nutr. 2021;44(5):710–25. 10.1080/01904167.2020.1834176.10.1080/01904167.2020.1834176
13. Abbasi MK Tahir MM Rahim N Effect of N fertilizer source and timing on yield and N use efficiency of rainfed maize (Zea mays L) in Kashmir, Pakistan Geoderma 2013 195 87 93 10.1016/j.geoderma.2012.11.013
Abbasi MK, Tahir MM, Rahim N. Effect of N fertilizer source and timing on yield and N use efficiency of rainfed maize (Zea mays L) in Kashmir, Pakistan. Geoderma. 2013;195:87–93. 10.1016/j.geoderma.2012.11.013.10.1016/j.geoderma.2012.11.013
14. Wang Z Liu L Zhang Y Chen S Li K Effects of row spacing and nitrogen application on wheat yield and nitrogen use efficiency in the North China Plain J Integ Agri 2021 20 1 64 74
Wang Z, Liu L, Zhang Y, Chen S, Li K. Effects of row spacing and nitrogen application on wheat yield and nitrogen use efficiency in the North China Plain. J Integ Agri. 2021;20(1):64–74.
15. Zheng F Chu J Zhang X Interactive effects of sowing pattern and planting density on grain yield and nitrogen use efficiency in large spike wheat cultivar Acta Agron Sin 2020 46 423 31 10.3724/SP.J.1006.2020.91046
Zheng F, Chu J, Zhang X, et al. Interactive effects of sowing pattern and planting density on grain yield and nitrogen use efficiency in large spike wheat cultivar. Acta Agron Sin. 2020;46:423–31. 10.3724/SP.J.1006.2020.91046.10.3724/SP.J.1006.2020.91046
16. Zhang J Mu J Hu Y Effect of planting patterns and seeding rate on dryland wheat yield formation and water use efficiency on the Loess Plateau, China Agronomy 2023 13 3 851 10.3390/agronomy13030851
Zhang J, Mu J, Hu Y, et al. Effect of planting patterns and seeding rate on dryland wheat yield formation and water use efficiency on the Loess Plateau, China. Agronomy. 2023;13(3):851. 10.3390/agronomy13030851.10.3390/agronomy13030851
17. Marín C Weiner J Effects of density and sowing pattern on weed suppression and grain yield in three varieties of maize under high weed pressure Weed Res 2014 54 5 467 74 10.1111/wre.12101
Marín C, Weiner J. Effects of density and sowing pattern on weed suppression and grain yield in three varieties of maize under high weed pressure. Weed Res. 2014;54(5):467–74.10.1111/wre.12101
18. Singh L, Beg MKA, Akhter S et al. Efficient techniques to increase water use efficiency under rainfed ecosystems. J AgriSearch. 2014;1(4).
19. Lichtenthaler HK Chlorophylls and carotenoids: pigments of photosynthetic biomembranes Methods Enzymol 1987 148 350 82 10.1016/0076-6879(87)48036-1
Lichtenthaler HK. Chlorophylls and carotenoids: pigments of photosynthetic biomembranes. Methods Enzymol. 1987;148:350–82.10.1016/0076-6879(87)48036-1
20. Steel RGD Torrie JH Dickey D Principles and procedures of statistics. A biometrical approach 1996 3 New York, USA McGraw Hill Book Company Inc 334 81
Steel RGD, Torrie JH, Dickey D. Principles and procedures of statistics. A biometrical approach. 3rd ed. New York, USA: McGraw Hill Book Company Inc; 1996. pp. 334–81.
21. Zhang H Ding W Yu H Liu D Zhao J Xu L Nitrogen management in agriculture: impacts on crop productivity and the environment Sci Total Environ 2021 761 144112 10.1016/j.scitotenv.2020.144112 33360123
Zhang H, Ding W, Yu H, Liu D, Zhao J, Xu L. Nitrogen management in agriculture: impacts on crop productivity and the environment. Sci Total Environ. 2021;761:144112. 10.1016/j.scitotenv.2020.144112.33360123 10.1016/j.scitotenv.2020.144112
22. Fathi A Role of nitrogen (N) in plant growth, photosynthesis pigments, and N use efficiency: a review Agrisost 2022 28 1 8
Fathi A. Role of nitrogen (N) in plant growth, photosynthesis pigments, and N use efficiency: a review. Agrisost. 2022;28:1–8.
23. Liu G Zhou B Hou YL Duan ML Ning SR Wang QJ Effects of nitrogen on winter wheat growth under different salt stress J Irrig Drain 2019 38 36 40
Liu G, Zhou B, Hou YL, Duan ML, Ning SR, Wang QJ. Effects of nitrogen on winter wheat growth under different salt stress. J Irrig Drain. 2019;38:36–40.
24. Li T Gao F Nitrogen fertilizer and wheat: achieving agricultural production and sustainable development Geograph Res Bullet 2024 3 28 38
Li T, Gao F. Nitrogen fertilizer and wheat: achieving agricultural production and sustainable development. Geograph Res Bullet. 2024;3:28–38.
25. Liu J Lu F Zhu Y Wu H Ahmad I Dong G Wu Y The effects of planting density and nitrogen application on the growth quality of alfalfa forage in saline soils Agriculture 2024 14 2 302 10.3390/agriculture14020302
Liu J, Lu F, Zhu Y, Wu H, Ahmad I, Dong G, Wu Y. The effects of planting density and nitrogen application on the growth quality of alfalfa forage in saline soils. Agriculture. 2024;14(2):302.10.3390/agriculture14020302
26. Liu X Ren Y Gao C Yan Z Li Q Compensation effect of winter wheat grain yield reduction under straw mulching in W planting in the North China Plain Sci Rep 2017 7 1 1 9 10.1038/s41598-017-00391-6 28127051
Liu X, Ren Y, Gao C, Yan Z, Li Q. Compensation effect of winter wheat grain yield reduction under straw mulching in W planting in the North China Plain. Sci Rep. 2017;7(1):1–9. 10.1038/s41598-017-00391-6.28127051 10.1038/s41598-017-00391-6
27. Kumar R Kumar P Singh AP Kumar A Kumar S Effect of nitrogen management strategies on yield, quality, and nitrogen uptake by wheat (Triticum aestivum L) Asian J Soil Sci Plant Nut 2024 10 1 295 308 10.9734/ajsspn/2024/v10i1235
Kumar R, Kumar P, Singh AP, Kumar A, Kumar S. Effect of nitrogen management strategies on yield, quality, and nitrogen uptake by wheat (Triticum aestivum L). Asian J Soil Sci Plant Nut. 2024;10(1):295–308.10.9734/ajsspn/2024/v10i1235
28. Popal MH Malakzai MY Sandakhil S Effect of different levels of nitrogen on growth, yield, and productivity of wheat (Triticum aestivum L.) Cv. Koshan-02 J Res App Sci Biotech 2024 3 2 148 51 10.55544/jrasb.3.2.26
Popal MH, Malakzai MY, Sandakhil S. Effect of different levels of nitrogen on growth, yield, and productivity of wheat (Triticum aestivum L.) Cv. Koshan-02. J Res App Sci Biotech. 2024;3(2):148–51.10.55544/jrasb.3.2.26
29. Bian C, Ma C, Liu X, Gao C, Liu Q, Yan Z, Li Q. Responses of winter wheat yield and water use efficiency to irrigation frequency and planting pattern. PLoS ONE. 2016;11(5). 10.1371/journal.pone.0154673.
30. Xin L Wang WX Xiang L Gu SB Dong W The effects of intraspecific competition and light transmission within the canopy on wheat yield in a w planting pattern J Integ Agric 2020 19 6 1577 85 10.1016/S2095-3119(19)62724-3
Xin L, Wang WX, Xiang L, Gu SB, Dong W. The effects of intraspecific competition and light transmission within the canopy on wheat yield in a w planting pattern. J Integ Agric. 2020;19(6):1577–85.10.1016/S2095-3119(19)62724-3
31. Noor H Sun M Lin W Gao Z Effect of different sowing methods on water use efficiency and grain yield of wheat in the Loess Plateau China 2022 14 4 577 10.3390/w14040577
Noor H, Sun M, Lin W, Gao Z. Effect of different sowing methods on water use efficiency and grain yield of wheat in the Loess Plateau. China. 2022;14(4):577. 10.3390/w14040577.10.3390/w14040577
32. Hussain I Khan MA Khan EA Bread wheat varieties as influenced by different nitrogen levels J Zhejiang Univ Sci B 2006 7 1 70 8 10.1631/jzus.2006.b0070 16365929
Hussain I, Khan MA, Khan EA. Bread wheat varieties as influenced by different nitrogen levels. J Zhejiang Univ Sci B. 2006;7(1):70–8. 10.1631/jzus.2006.b0070.16365929 10.1631/jzus.2006.b0070
33. Zhao L Cai B Zhang X Zhang B Feng J Zhou D Wei Y Physiological and transcriptional characteristics of banana seedlings in response to nitrogen deficiency stress Horticulturae 2024 10 3 290 10.3390/horticulturae10030290
Zhao L, Cai B, Zhang X, Zhang B, Feng J, Zhou D, Wei Y. Physiological and transcriptional characteristics of banana seedlings in response to nitrogen deficiency stress. Horticulturae. 2024;10(3):290.10.3390/horticulturae10030290
34. Kubar MS Feng M Sayed S Shar AH Rind NA Ullah H El-Sharnouby M Agronomical traits associated with yield and yield components of winter wheat as affected by nitrogen managements Saudi J Bio Sci 2021 28 9 4852 8 10.1016/j.sjbs.2021.07.027 34466058
Kubar MS, Feng M, Sayed S, Shar AH, Rind NA, Ullah H, El-Sharnouby M. Agronomical traits associated with yield and yield components of winter wheat as affected by nitrogen managements. Saudi J Bio Sci. 2021;28(9):4852–8.34466058 10.1016/j.sjbs.2021.07.027
35. Sarker UK Uddin MR Hossain MA Somaddar U Saha G Exploring relationship among nitrogen fertilizer, yield and nitrogen use efficiency in modern wheat varieties under subtropical condition Saudi J Bio Sci 2023 30 4 103602 10.1016/j.sjbs.2023.103602 36910462
Sarker UK, Uddin MR, Hossain MA, Somaddar U, Saha G. Exploring relationship among nitrogen fertilizer, yield and nitrogen use efficiency in modern wheat varieties under subtropical condition. Saudi J Bio Sci. 2023;30(4):103602.36910462 10.1016/j.sjbs.2023.103602
36. Mi Tajul, Alam MM Hossain SMM Naher K Rafii MY Latif MA Influence of plant population and nitrogen-fertilizer at various levels on growth and growth efficiency of maize Sci World J 2013 2013 1 193018 10.1155/2013/193018
Mi Tajul, Alam MM, Hossain SMM, Naher K, Rafii MY, Latif MA. Influence of plant population and nitrogen-fertilizer at various levels on growth and growth efficiency of maize. Sci World J. 2013;2013(1):193018. 10.1155/2013/193018.10.1155/2013/193018
37. Otteson BN Mergoum M Ransom JK Seeding rate and nitrogen management effects on spring wheat yield and yield components Agron J 2007 99 6 1615 21 10.2134/agronj2007.0002
Otteson BN, Mergoum M, Ransom JK. Seeding rate and nitrogen management effects on spring wheat yield and yield components. Agron J. 2007;99(6):1615–21. 10.2134/agronj2007.0002.10.2134/agronj2007.0002
38. Jiao F, Hong S, Liu C, Ma Y, Zhang M, Li Q. W planting pattern under different tillage methods affects photosynthesis and yield of winter wheat. Arch Agron Soil Sci. 2022;1–17.
39. Bavar M Heidari SAH Noormohamadi GH The effects of different levels of nitrogen on yield and yield components of rainfed wheat in two regions of North Khorasan Open J Ecol 2016 6 7 67042 10.4236/oje.2016.67042
Bavar M, Heidari SAH, Noormohamadi GH. The effects of different levels of nitrogen on yield and yield components of rainfed wheat in two regions of North Khorasan. Open J Ecol. 2016;6(7):67042. 10.4236/oje.2016.67042.10.4236/oje.2016.67042
40. Gregersen PL Culetic A Boschian L Krupinska Plant senescence and crop productivity Plant Mol Biol 2013 82 603 22 10.1007/s11103-013-0013-8 23354836
Gregersen PL, Culetic A, Boschian L, Krupinska. Plant senescence and crop productivity. Plant Mol Biol. 2013;82:603–22. 10.1007/s11103-013-0013-8.23354836 10.1007/s11103-013-0013-8
41. Yu ZT Islam S She MY Diepeveen D Zhang YJ Tang GX Wheat grain protein accumulation and polymerization mechanisms driven by nitrogen fertilization Plant J 2018 96 1160 77 10.1111/tpj.14096 30230644
Yu ZT, Islam S, She MY, Diepeveen D, Zhang YJ, Tang GX, et al. Wheat grain protein accumulation and polymerization mechanisms driven by nitrogen fertilization. Plant J. 2018;96:1160–77.30230644 10.1111/tpj.14096
42. Belete F Dechassa N Molla A Tana T Effect of nitrogen fertilizer rates on grain yield and nitrogen uptake and use efficiency of bread wheat (Triticum aestivum L.) varieties on the vertisols of central highlands of Ethiopia Agric Food Secur 2018 7 78 10.1186/s40066-018-0231-z
Belete F, Dechassa N, Molla A, Tana T. Effect of nitrogen fertilizer rates on grain yield and nitrogen uptake and use efficiency of bread wheat (Triticum aestivum L.) varieties on the vertisols of central highlands of Ethiopia. Agric Food Secur. 2018;7:78. 10.1186/s40066-018-0231-z.10.1186/s40066-018-0231-z
43. Arduini I Masoni A Ercoli L Mariotti M Grain yield, and dry matter and nitrogen accumulation and remobilization in durum wheat as affected by variety and seeding rate Eur J Agr 2006 25 4 309 18 10.1016/j.eja.2006.06.009
Arduini I, Masoni A, Ercoli L, Mariotti M. Grain yield, and dry matter and nitrogen accumulation and remobilization in durum wheat as affected by variety and seeding rate. Eur J Agr. 2006;25(4):309–18.10.1016/j.eja.2006.06.009
44. Zhang M, Wang H, Yi Y, Ding J, Zhu M, Li C. Effect of nitrogen levels and nitrogen ratios on lodging resistance and yield potential of winter wheat (Triticum aestivum L). PLoS ONE. 2017;12(11). 10.1371/journal.pone.0187543.
45. Xu X, Yan L, Xia J. A threefold difference in plant growth response to nitrogen addition between the laboratory and field experiments. Ecosphere. 2019;10(1). 10.1002/ecs2.2572.
46. Wang R Wang H Jiang G Liu J Yin H Xie B Effect of nitrogen application on root and yield traits of Chinese spring wheat (Triticum aestivum L.) under drip irrigation Agr 2022 12 11 2618 10.3390/agronomy12112618
Wang R, Wang H, Jiang G, Liu J, Yin H, Xie B, et al. Effect of nitrogen application on root and yield traits of Chinese spring wheat (Triticum aestivum L.) under drip irrigation. Agr. 2022;12(11):2618. 10.3390/agronomy12112618.10.3390/agronomy12112618
47. Yang YX Chen YZ Tang P Lin W Sun M Gao ZQ Effects of sowing patterns on nitrogen utilization and yield formation of winter wheat in the western Huang Huai Hai region J App Ecol 2023 34 6 1572 82 10.21203/rs.3.rs-3762576/v1
Yang YX, Chen YZ, Tang P, Lin W, Sun M, Gao ZQ. Effects of sowing patterns on nitrogen utilization and yield formation of winter wheat in the western Huang Huai Hai region. J App Ecol. 2023;34(6):1572–82. 10.21203/rs.3.rs-3762576/v1.10.21203/rs.3.rs-3762576/v1
48. Wang LL, Wang SW, Chen W, Li HB, Deng XP. Physiological mechanisms contributing to increased water-use efficiency in winter wheat under organic fertilization. PLoS ONE. 2017;12. 10.1371/journal.pone.0180205.
49. Wang LL Palta JA Chen W Chen YL Deng XP Nitrogen fertilization improved water-use efficiency of winter wheat through increasing water use during vegetative rather than grain filling Agric Water Manag 2018 197 41 53 10.1016/j.agwat.2017.11.010
Wang LL, Palta JA, Chen W, Chen YL, Deng XP. Nitrogen fertilization improved water-use efficiency of winter wheat through increasing water use during vegetative rather than grain filling. Agric Water Manag. 2018;197:41–53. 10.1016/j.agwat.2017.11.010.10.1016/j.agwat.2017.11.010
50. Qiang SC Zhang Y Fan JL Zhang FC Xiang YZ Yan SC Maize yield, rainwater and nitrogen use efficiency as affected by maize genotypes and nitrogen rates on the Loess Plateau of China Agric Water Manag 2019 213 996 1003 10.1016/j.agwat.2018.12.021
Qiang SC, Zhang Y, Fan JL, Zhang FC, Xiang YZ, Yan SC, et al. Maize yield, rainwater and nitrogen use efficiency as affected by maize genotypes and nitrogen rates on the Loess Plateau of China. Agric Water Manag. 2019;213:996–1003. 10.1016/j.agwat.2018.12.021.10.1016/j.agwat.2018.12.021
51. Tan Y Chai Q Li G Zhao C Yu A Fan Z Improving wheat grain yield via promotion of water and nitrogen utilization in arid areas Sci Rep 2021 11 1 13821 10.1038/s41598-021-92894-6 34226585
Tan Y, Chai Q, Li G, Zhao C, Yu A, Fan Z, et al. Improving wheat grain yield via promotion of water and nitrogen utilization in arid areas. Sci Rep. 2021;11(1):13821.34226585 10.1038/s41598-021-92894-6
52. Ashraf U Salim MN Sher A Sabir SUR Khan A Pan SG Maize growth yield formation and water-nitrogen usage in response to varied irrigation and nitrogen supply under semi-arid climate Turk J Field Crop 2015 21 88 96 10.17557/tjfc.93898
Ashraf U, Salim MN, Sher A, Sabir SUR, Khan A, Pan SG, et al. Maize growth yield formation and water-nitrogen usage in response to varied irrigation and nitrogen supply under semi-arid climate. Turk J Field Crop. 2015;21:88–96. 10.17557/tjfc.93898.10.17557/tjfc.93898
