Adoption of Efficient Varieties, And Nitrogen Management For Improving Agronomic Attributes, And Yield of Winter Wheat

Adoption of Efficient Varieties, And Nitrogen Management For Improving Agronomic Attributes, And Yield of Winter Wheat | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Adoption of Efficient Varieties, And Nitrogen Management For Improving Agronomic Attributes, And Yield of Winter Wheat Hafeez Noor, Sun Min, Wen Lin, Zhiqiang Gao This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-963205/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This study greenhouse experiment aimed to evaluate the biochemical impact of nitrogen (N) fertilization on different wheat cultivars. The experiment included two varieties (YH-618 and YH-20410) and three nitrogen levels, (N0, N210, and N280 Kg ha –1 . Our results indicated that wheat variety YH-20410 had the higher nitrogen uptake and efficiency, grain protein content, and yield at higher planting densities and will benefit farmers by forming stronger overall crops. For variety YH-20410, the soil water storage at the wintering stage was significantly highest at N280 kg ha –1 , In conclusion, variety YH-20410, wheat higher dry matter accumulation of each organ at maturity stage, and the dry matter accumulation of leaf, stem + leaf sheath. Compared to N0 and N180 Kg ha –1 , N210 k g ha –1 significantly increased the N harvest index by 5.0% to 19.4% and N use efficiency by 2.9% to 9.1%, but there was no significant difference in N uptake efficiency. In conclusion, variety YH-20410 was beneficial to improve the harvest index and N productivity of wheat. Variety YH-20410, has also the greater number of spike number, grains per spike and 1000-grain weight, leading to high grain yield. Among nitrogen treatments, N280 Kg ha –1 significantly increased the grain number per spike, 1000-grain weight and yield. Significantly increased grain gluten content, grain protein content and protein yield under of YH-20410 variety. In conclusion, reduced N fertilizer 280 kg ha –1 and variety YH-20410 was beneficial to the improved the leaf area index, plant height, soil water storage, dry matter accumulation, and grain yield. Environmental Engineering Agronomy Agronomic characters Nitrogen fertilizer Soil water storage Variety Yield Figures Figure 1 Figure 2 Figure 3 Figure 4 1 Introduction Wheat ( Triticum aestivum L.) is one of the most important staple foods in the world, which provides app. 20 % of the daily dietary protein for the humankind 1 . It can be used to produce various flour-derived products such as biscuits, noodles and bread. It has been reported that the consumption of biscuits produced by soft wheat increased rapidly in China. According to the Chinese Baked Goods Sugar Products Industry Association, from 2004 to 2019, the biscuit production had increased from 1.05 to 12.5 million tons with an annual growth rate of 18.0 %. The middle and lower reaches of Yangtze River is the optimum ecological region for high-quality soft wheat production, with an annual planting area of ca. 400,000 ha 2 . Wheat are the most important food crops in Asia, providing food grains for more than 20% of the population worldwide 3 . in the North China Plain showed that, compared with conventional farmer practice (280 kg N ha −1 ), sensor-based N management strategy (67 kg N ha −1 ) decreased residual soil mineral-N content after harvest on average by 44 % (across 2 years). Furthermore, N was considerably greater (by 368 %) for the sensor-based fertilizer recommendation than for common farmer practice. Also, this strategy produced comparable grain yields. Similarly 4 also showed that winter wheat N improved when mid-season fertilization was based on optically sensed in-season estimates of grain yield. Nitrogen rate, in fact, increased by more than 15 % compared with the Variety and N rate of 280 kg N ha −1 . As N increases, generally the ability of site-specific fertilization to maintain profitability with lower average N applications is expected to be improved 5 . Indicated that the model-based fertilizer prescription led to N rate increased in about 53 % of the grids and enabled the design of N prescriptions adapted to plants demand. In different studies, lower N doses were applied on winter wheat based on crop reflection methods, producing the best efficiency in terms of grain production (as highest ratio: yield/applied N) and grain yields equivalent to the current standard method 6 . The green leaf area, and duration have significant effects on the grain yield, and shaded leaves become senescent earlier compared to unshaded leaves 7 . Accelerated leaf senescence leads to a lower grain yield in wheat because of nutritional and hormonal signals 8 .Thus, reducing accelerated leaf senescence in dense plant populations is important for increasing the production of wheat. Nitrogen is important for enhancing the photosynthetic efficiency and leaf area 9 . Thus, it is very important to develop agronomic practices to balance grain quality and yield in wheat production. Previous studies showed that both GPC and grain yield (GY) can be increased by N fertilizer simultaneously under low to medium N rate (0–210 kg N ha −1 ), but GPC was continuously increased with no further increase in GY under high N rate (210–280 kg N ha −1 ) 10 . In China, the N application rate has been generally much higher than the recommended dose of 280 kg N ha −1 in soft wheat production for higher GY 11 , which may deteriorate the biscuit-making performance with obviously increasing GPC. Reducing N rate can significantly decrease GPC and wet gluten content (WGC) of soft wheat, which help to form softer dough and produce crisper biscuits 12, 13 . N agronomic efficiency (NAE) is also enhanced by reducing N input 14 . However, reducing N rate also increased the risk of GY loss mainly owing to reductions in both number of spikes and grains 15 . Thus, it is very important to develop agronomic practices to balance grain quality and yield in soft wheat production. Nitrogen uptake and productivity of cereal crops could be enhanced by increasing plant density under reduced N supply, which has been confirmed in wheat 16 N accumulation in each growth stage of wheat was significantly increased when N application rate was 280 kg ha −1 , and nitrogen accumulation in leaves before flowering, stem sheath and cob, and contribution to grain, N agronomic use efficiency (AUE), and N use efficiency (NUE) were also significantly increased. The results showed that the N harvest index and NUE increased significantly when N was reduced by 12.5%, reaching 5.0%-19.4% and 2.9%-9.1%, respectively 17 . Fertilizers constitute an integral part for improved crop production technology. Nitrogen (N) is an essential mineral nutrient for plant growth, expands soil fertility and crop productivity proper amount of fertilizer application is considered a key for high crop production 18 . The objective of this study was to reveal the combined effects of reduced N rate N0, N210, and 280 kg N ha −1 , and increased variety on: (1) protein content and yield; (2) GY, NUE, and NAE (3) Nitrogen application rate of N280 kg ha −1 was more beneficial. The results would provide a novel view for achieving the balance between 280 kg ha −1 was beneficial to increase the content of gluten in grains, obtain higher protein content and protein yield in grains, and increase the content of dry gluten in grains. Variety YH-20410 will benefit farmers by forming stronger overall crops, promoting the coordinated improvement of yield. 2 Measurements, And Experimental Design And Treatments All methods were performed in accordance with the relevant guidelines. The experiment was conducted in the wheat experimental base of Shanxi agricultural university in Taigu, Shanxi Province, China (E112°34 'E, N37°25' N) from 2020 to 2021, which belonging to the temperate continental climate zone, with an average annual temperature of 10.4°C. The pond was planted in a pool 2 m deep, separated by concrete walls with a thickness of 20 cm, and an insulation layer of 10 cm added to the outer walls. The soil type in the pool was classified as silty clay loam (Chinese soil taxonomy). Table 1 Table 1 Soil nutrient properties from experimental location in Shanxi Taigu. Soil nutrients 2019-2020 2020-2021 Organic matter (g kg −1 ) 12.64 12.53 Available phosphorous (mg kg −1 ) 14.28 14.15 Available potassium (mg kg −1 ) 219.6 225.56 The experiment had a split-plot design with three replications. All methods were performed in accordance with the relevant guidelines. The greenhouse experiment comprised of three nitrogen treatments. Three nitrogen treatments were 0, 210 and 280 kg ha −1 (N0, N210, and N280 kg ha −1 respectively), winter wheat ( Triticum aestivum L.), two cultivar ‘Yunhan 20410’ ‘Yunhan 618’ were obtained from the Taigu Agriculture Bureau, Taigu, China. The area of each plot was 2 m × 4 m =8 m 2 . Experimental site in Fig. 1 . Before sowing, Pure P 2 O 5 and K 2 Owere applied at the rate of 150 and 75 kg ha −1 respectively, the nitrogen fertilizer was applied to the base fertilizer. The seeds were sown on November 8, 2020, planted in manual with row spacing of 20cm and sowing quantity of 225 k m ha −1 . Irrigation was applied using a drip irrigation system, with application of 50 mm each time as measured with a water meter. All plants were harvested on June 2, 2021. The field was kept free from insects, pests, and diseases using pesticides as needed. During whole growing season, weed was well controlled by hand. 2.1 Agronomic characters of plants Three rows of wheat plants in the sample area of 0.667 m 2 were selected to investigate the number of tillers in the population at the stages of wintering, jointing, booting, flowering and maturity, respectively, and 20 representative plants with uniform growth were selected to measure the plant height.The wheat plants whose plant height was measured were carefully divided into two groups, the roots were cut off, the whole wheat plant was separated into organs, put into a kraft paper bag, written and processed, and put into the oven. The drying was done at 105℃ for 30 min, and then dried at 75℃ until the weight was constant. The wheat plants were taken out and weighed and the dry matter weight was recorded. Ten representative plants were selected from the field every 10 days after flowering, and the length, width and number of leaves per plant were recorded, and the leaf area index (LAI) was calculated. After flowering, 10 ears with uniform growth were picked every 5 days, the grains were peeled and counted, and then dried for weighing, grain weight was recorded, and grain filling rate was calculated.and leaf area index (LAI) was calculated from following formula: 19 LAI = \(\frac{\text{l}\text{e}\text{n}\text{g}\text{t}\text{h}\times \text{w}\text{i}\text{d}\text{t}\text{h}\times \text{n}\text{u}\text{m}\text{b}\text{e}\text{r} \text{o}\text{f} \text{g}\text{r}\text{e}\text{e}\text{n} \text{l}\text{e}\text{a}\text{v}\text{e}\text{s}}{\text{l}\text{a}\text{n}\text{d} \text{a}\text{r}\text{e}\text{a}}\) 2.2 Soil moisture Soil gravimetric moisture content (GSW, %) was recorded and expressed in soil water storage (SWS, mm). Gravimetric water content was measured at 20 cm increments to a depth of 200 cm in the 45th, 108th day after previous harvesting. At the developmental stages of sowing, overwintering, jointing, heading, anthesis and maturity, the soil gravimetric moisture was also determined in each treatment. For each soil sample, the gravimetric water content was calculated as the ratio of the mass of water present to the dry (weight of fresh soil sample weight of dry soil sample) to the dry weight of the soil sample. Dry weight of soil sample was obtained after placing the fresh sample in an oven at 105°C for 72 h. For each plot, gravimetric water content at a given layer was determined by averaging the values from three random sampling points placed in the central between two plants in the row. Before the setup of plots, the soil bulk density was measured at 20 cm increments to a depth of 300 cm for the whole soil profile (0–200 cm depth). Soil water storage for a given layer was calculated as follows 20 : SWS (mm) = GSW (%) × ρ b (gcm −3 ) × SD (mm) (1) Where ρb is soil bulk density of given soil layer, and SD refers to soil depth. 2.3 Yield and yield component At maturity, 20 plants from each plot were randomly sampled from the inner rows for the determination of yield components such as ear number, seed number per ear and weight of thousand seed. Plot grain yield was determined by harvesting all plants in the area of 20m 2 , shelled using machine and the grain was air-dried for the determination of grain yield. 2.4 Wet gluten content processing quality The bromophenol blue water solution and isopropanol lactic acid mixture, and the settling values were determined by shock. The landing value was measured using the Landing Numerical Measurer ( FN-IV ). The Micro dough LAB, a micro powder instrument was produced by a [ Swedish company Botone ( SCB )] and it was measured the fluidity of bread. The wet gluten content and gluten index were measured using the Gluten Index Meter ( MJZ-II ) Mian Jin zhi–2 gluten index analyzer china) quality analyzer. For Quality analysis dough mixed from 200g flour was divided into small dough weighted based on 0.25g flour calculated as by using the following formula 21 : The dry gluten was obtained by drying the wet gluten in an oven ( TD5G, Hunan Xiang Li Scientific instruments com., Lt China ) to constant weight at 100℃ for 24h using the air oven drying method. The dried gluten was left cool for 1 h before taking its weight as the dry gluten content. The percentage of dry gluten obtund was calculated using following formula. \(\text{D}\text{r}\text{y} \text{g}\text{l}\text{u}\text{t}\text{e}\text{n} \left[\%\right]=\frac{\text{M}\text{a}\text{s}\text{s} \text{o}\text{f} \text{d}\text{r}\text{y} \text{g}\text{l}\text{u}\text{t}\text{e}\text{n} \left(\text{g}\right)}{0.25\text{g} \text{f}\text{l}\text{o}\text{u}\text{r}}\times 100\) 2.5 Nitrogen calculation Values for nitrogen were calculated following 22 using the following formulae: Plant nitrogen accumulation = plant biomass × Nitrogen content Pre-anthesis accumulated nitrogen translocation (PANT) = nitrogen accumulation in vegetative organs at the anthesis stage − nitrogen accumulation in vegetative organs at the maturation stage Contribution to N in kernels (%) of PANT =PANT=Nitrogen accumulation in kernels × 100% Nitrogen accumulation after anthesis (NAAA) = nitrogen accumulation in the plant at the maturation stage – nitrogen accumulation in the plant at the anthesis stage Contribution to N in kernels (%) of NAAA = NAAA=nitrogen accumulation in kernels×100% N uptake efficiency = Nitrogen accumulation in plant/applied amount of nitrogen N use efficiency = Grain yield/nitrogen accumulation in the plant N productive efficiency = Grain yield/applied amount of nitrogen 2.6 Statistical analysis The different data were subjected to analysis of variance ( ANOVA ) as split-plot design using DPS and SAS 9.0 . Graphics were constructed using Microsoft Excel 2010 . Mean values were calculated and significance of the difference between treatments was tested by LSD (least significant difference) method at the significance level of P =0.05. 3 Results 3.1 Effects of different nitrogen amount variety, on plant height at each growth stage Leaf area index (LAI) after anthesis stages. Effects of different variety, and compared to variety YH-618, YH-20410, increased plant height in each growth stages of wintering, booting, flowering and maturity (Fig. 2 ).Compared with 0 kg ha −1 and 210 kg ha −1 (25% N reduction), 280 kg ha −1 12% N reduction significantly increased the plant height at the growth stages of pregnancy, flowering and maturity, and had no significant difference with 280 kg ha −1 N application. Variety YH-20410 was beneficial to ontogeny of plants and increased plant height, and there was significant difference in plant height at booting, flowering and maturity stage between N application and N application was reduced by 12.5%. Effects of different variety, and N rate Compared to variety YH-618, YH-20410, significantly increased leaf area index (LAI) 0-30 days after flowering (Fig. 3 ). Compared to 0 kg ha −1 and 210 kg ha −1 (25% N reduction), 280 kg ha −1 (12% N reduction) significantly increased leaf area index (LAI) 0-30 days after flowering, and no significant difference with nitrogen application. In conclusion, variety YH-20410 nitrogen 280 kg ha −1 was beneficial to the improvement of leaf area index after flowering, and the leaf area index at 0-30 days after flowering had no significant difference with the nitrogen application when the nitrogen was reduced by 12.5%. 3.2 Effects of different nitrogen amount variety, on soil water storage of 0-200 cm at each growth stage and dry matter weight of each organ at maturity stage. Soil water storage of 0-200 cm at different growth stages with different variety combined to different nitrogen application rates. Under variety YH-20410, the soil water storage at the wintering stage was significantly highest at N280, and lowest at N0 variety YH-618, the soil water storage at the jointing stage, flowering stage and maturity stage was significantly lowest at N280. The soil water at the jointing stage mainly consumed 20-80 cm soil layer, and the soil water at the flowering, and maturity stage mainly consumed 100-200 cm soil layer (Fig. 4 ).In variety YH-20410, N280 and N210 were the highest and lowest values for soil water storage at wintering and jointing stages, and N210 were also the lowest values at flowering and mature stages. The soil water storage at jointing stage was mainly stored below the soil layer of 100 cm, and the soil water in the soil layer of 40-80 cm was mainly consumed at jointing and flowering stages. In the flowering stage, 100-200 cm depth mainly consumed. As shown in Table 2 , the total dry matter accumulation of winter wheat in each treatment showed an increasing trend during growth period. Different planting. At jointing stage, dry matter was mainly distributed to stems and leaves. The proportion of the middle part was higher than that of the stem, then the proportion of the leaf gradually decreased, and the proportion of the stem increased, and reached in the flag carrying stage. The proportion of stem and leaf decreased, and the proportion of panicle increased significantly after grain-filling, reaching 61.6%. All planting methods had significant effects on stem, leaf, spike and total dry matter weight of winter wheat (P < 0.01). In reproductive period YH-618, and YH-20410 were 5770.0 and 4491.2 kg ha −1 (stem), respectively. 2526.9, 1736.5 kg ha −1 (leaf); 6128.4, 4926.5 kg ha −1 (spike); 12382.6, 9512.1 kg ha −1 (total dry matter). The results showed that YH-618 > YH-20410. Compared to YH-20410, the dry weight of organs under YH-618 cultivation increased by 28.5% (stem), 45.5% (leaf), 24.4% (ear), 30.2% (total dry matter). The results showed that YH-618 cultivation mode could not only significantly improve dry matter. The total amount of material accumulation, but also can reasonably adjust the allocation proportion of each organ. Nitrogen application rate also significantly affected stem, leaf, spike and total dry matter weight of winter wheat (P < 0.01). The reproductive period .The mean dry weight of organs treated with N0, N210 and N280 kg ha −1 was 4713.7, 4810.2 and 5868.1 kg ha −1 (stem), respectively. 1807.9, 1988.8, 2598.4 kg ha −1 (leaf); 5001.5, 5309.8, 6271.2 kg ha −1 (spike); 9855.9, 10338.8, 12647.3 kg ha −1 (total dry matter). N210 increased 2.4% compared with N0 (stem) Weight), 10.0% (leaf dry weight), 6.2% (ear dry weight), 4.9% (total dry matter). N280 increased by 22.0% compared with N210 kg ha −1 (stem). Dry weight), 30.7% (leaf dry weight), 18.1% (ear dry weight), 22.3% (total dry matter). That was, the dry matter of each organ. It increased with the increase of nitrogen application rate, and the increase rate increased. Table 2 Effects of planting patterns and nitrogen rates on dry matter accumulation and distribution of winter wheat Treatments N0 N210 N280 YH-618 YH-20410 YH-618 YH-20410 YH-618 YH-20410 Jointing stage Stem Leaf Total 1662.7bc 2159.5c 3822.2c 1062.8d 1544.9d 2607.7e 1716.2b 2433.9b 4150.0b 1142.4d 1692.6d 2835.0d 2136.7a 3181.3a 5318.0a 1513.7c 2414.0b 3927.7bc Flag stage Stem Leaf Total 4596.4cd 2289.0c 6885.4d 3901.5de 1594.9d 5496.4e 5223.1bc 2512.7bc 7735.7c 3250.8e 1834.3d 5085.1f 6155.5a 2986.0a 9141.5a 5452.8ab 2660.4b 8113.2b Heading stage Stem Leaf Ear Total 6435.1b 2335.9b 2224.9c 10995.8b 4773.3c 1480.7c 1744.9d 7998.9c 5932.7b 2561.8ab 2305.2c 10799.7b 4272.5c 1457.2c 1769.8d 7499.5c 7274.2a 2809.5a 2839.0a 12922.7a 5964.5b 2496.4ab 2502.9b 10963.8b Flowering stage Stem Leaf Ear Total 6039.8b 2135.5b 2296.7c 10472b 4400.3d 1325.7c 1812.6d 7538.6c 6658.7b 2344.3b 2568.4b 11571.3b 5158.6c 1450.7c 1988.4c 8597.7c 7344.7a 2764.8 2909.4a 13018.9a 6632.8b 2234.8b 2789.2ab 11656.8b Filling stage Stem Leaf Ear Total 7477.2a 2232.7b 5720.2b 15430.0b 5363.6b 1261.2c 3687.6d 10312.4d 8106.0a 2543.0b 6306.1a 16955.2a 5753.9b 1419.4c 4839.0c 12012.3c 7589.7a 3435.3a 6199.4ab 17224.4a 7735.9a 2185.0b 6570.9a 16491.8ab Maturity stage Stem Leaf Ear Total 6125.1ab 2058.0ab 12400.1b 20583.3b 4726.4cd 1276.6c 10125.0c 16128.0c 6310.9ab 2370.1a 13869.6a 22550.7a 4196.3d 1245.0c 8831.5d 14272.8d 7076.0a 2330.9a 13902.2a 23309.1a 5540.2d 1682.8b 12456.4b 19679.3b Note: N0: No nitrogen; N180: Reduction nitrogen25%; N210: Reduction nitrogen12.5%; Different letters in the same column indicate significant difference at 0.05, *P<0.05; **P<0.01; the same below. 3.3 Effects of different nitrogen amount variety, on nitrogen transport before anthesis and nitrogen accumulation after anthesis Effects of different variety, and nitrogen application rate had extremely significant effects on the accumulation, and contribution rate of nitrogen before anthesis, and after anthesis, and different variety × nitrogen application rate had extremely significant effects on the accumulation of nitrogen after anthesis (Table 3 ).Compared to variety YH-618, YH-20410, significantly increased the amount of nitrogen transport before flowering by 17.5%-24.5%, and the contribution rate of nitrogen transport before flowering to grain was also significantly increased by 80.7%.Compared to 0 kg ha −1 , and 210 kg ha −1 the N application rate of 210 kg ha −1 (12.5% N reduction) significantly increased the amount of N transport before flowering by 5.0%-59.8%, and the difference was not significant to N rate, and the contribution rate of N transport before flowering to the grain was also the highest. In conclusion, variety YH-20410, was beneficial to the increase of nitrogen transport before flowering and contribution to grain, and the nitrogen transport before flowering, and contribution to grain were higher when 12.5% nitrogen was reduced based on nitrogen application. Table 3 Effects of different nitrogen amount variety, on pre-anthesis accumulated nitrogen translocation and nitrogen accumulation after anthesis of wheat Variety N rate PANT NAAA TA (kg ha −1 ) CP (%) TA (kg ha −1 ) CP (%) YH-618 N0 73.42 d 58.03 f 52.99 a 41.97 a N210 90.64 c 65.23 d 48.37 b 34.77 b N280 111.75 b 74.22 b 38.8 cd 25.78 e YH-20410 N0 91.15 c 62.16 e 55.48 a 37.84 b N210 110.3 b 71.12 c 44.78 b 28.88 cd N280 131.29 a 80.69 a 31.56 e 19.31 f Analysis of variance ANOVA Nitrogen ** ** ** ** Variety ** ** ** ** Nitrogen ×Variety ns ns ** ns Note: PANT: Pre-anthesis accumulated nitrogen translocation amount from vegetative organs to grains; NAAA: Nitrogen accumulation amount after anthesis; TA: Translation amount; CP: Contribution proportion; The same below. 3.4 Effects of different nitrogen amount variety, on nitrogen use efficiency (NUE) Effects of different variety had a very significant effect on N harvest, and N application rate had a very significant effect on N harvest index and N use efficiency (Table 4 ). Compared with variety YH-618, YH-20410, significantly increased N harvest index by 5.0%-6.6% and N partial productivity by 0.7%-5.3%. Compared with 0 kg ha −1 , and 180 kg ha −1 (25% N reduction), 210 kg ha −1 (12.5% N reduction) significantly increased the N harvest index by 5.0–19.4% and N use efficiency by 2.9–9.1%, but there was no significant difference in N uptake efficiency. In conclusion, variety YH-20410, was beneficial to improve the N harvest index and N productivity of wheat, and the N harvest index and N use efficiency were significantly increased when the N was reduced by 12.5% based N application. Table 4 Effects of different nitrogen amount variety, on nitrogen use efficiency of wheat Variety N rate N uptake efficiency (kg kg −1 ) Nitrogen harvest index N use efficiency (kg kg −1 ) N productive efficiency (kg kg −1 ) YH-618 N0 — 0.67 e 39.64 e — N210 1.16 a 0.74 cd 41.36 c 47.83 b N280 1.07 a 0.80 b 42.69 b 45.69 bc YH-20410 N0 — 0.71 d 40.33 d — N210 1.19 a 0.78 b 42.16 b 50.38 a N280 1.10 a 0.84 a 43.37 a 47.51 b Analysis of variance ANOVA Nitrogen ns ** ns ns Variety ns ** ** ns Nitrogen ×Variety ns ns ns ns 3.5 Effects of different nitrogen amount variety, N agronomic use efficiency at maturity Effects of different variety and nitrogen application rate had extremely significant effects on spike length, number of fertile spike and number of sterile spikes at the wintering, jointing, flowering and maturity stages of wheat, but variety × nitrogen application rate had no significant effects on them. Compared with variety YH-618, YH-20410, significantly increased ear length and bearing spikelet number, and significantly reduced the number of sterile spike (Table 5 ). Compared with 0 kg ha −1 and 180 kg ha −1 (25% N reduction), 210 kg ha −1 (12.5% N reduction) significantly increased ear length and Sterility spikelet number but had no significant difference with conventional N application. In conclusion, variety YH-20410, was beneficial to increase the spikelet length and the number of fertile spike mature stage, and there was no significant difference between spike length and Bearing spikelet number when nitrogen was reduced by 12.5% based on N application. Table 5 Effect of nitrogen application amount reduction on the N agronomic use efficiency at mature of wheat Variety N rate Spike Length (cm) Bearing spikelet number Sterility spikelet number YH-618 N0 6.8 d 14.2 d 1.80 a N210 6.9 d 14.4 d 1.60 ab N280 7.2 bc 17.4 bc 1.51 bc YH-20410 N0 7.1 c 16.2 c 1.40 bc N210 7.3 b 17.3 bc 1.30 c N280 7.6 a 19.4 a 1.00 d Analysis of variance ANOVA Nitrogen ** ** ** Variety * ** ** Nitrogen ×Variety ns ns ns 3.6 Effects of different nitrogen amount variety, on yield components. Nitrogen application rate had significant or extremely significant effects on Spike number, grain number per ear, 1000-grain weight and yield, and variety × nitrogen application rate had significant effects on yield. Compared with variety YH-618, YH-20410, significantly increased spike number by 2.3–3.2%, grain number per spike by 10.4–13.6%, 1000-grain weight by 6.6–9.2% and yield by 7.3–14.7% (Table 6 ).Under variety YH-20410, nitrogen application significantly increased the Spike number Compared to 0 kg ha −1 and 180 kg ha −1 (25% N reduction), 210 kg ha −1 (12.5% N reduction) significantly increased grain number per spike by 6.8%-11.2%, 1000-grain weight by 6.8%-10.3% and yield by 10.3%-23.4%. And there was no significant difference with nitrogen application. Under variety YH-20410 conditions, compared to other treatments, nitrogen application significantly increased the number of panicles by 3.4%-10.8% and the yield by 4.8%-33.7%. Compared to 0 N application and 25% N reduction, 12.5% N reduction significantly increased the grain number per spike and 1000-grain weight but had no significant difference with N application. In conclusion, variety YH-20410, was beneficial to the increase of spike number, grain number per spike and 1000-grain weight, thus achieving high yield, and the grain number per spike, 1000-grain weight and yield were significantly higher when the nitrogen was reduced by 12.5% based N rate, and there was no significant difference between them. Table 6 Effects of different nitrogen amount variety, on yield and components of wheat Variety N rate Spike number (10 4 ha −1 ) Grain number Per spike 1000-grain weight (g) Yield (kg ha −1 ) YH-618 N0 630.75 e 26.28 d 38.22 e 6305.00 e N210 654.75 d 28.18 cd 39.67 d 7182.50 d N280 675.75 c 29.23 c 40.59 cd 8050.00 c YH-20410 N0 651.00 d 29.85 c 40.91 cd 7232.50 d N210 671.25 c 31.10 b 42.29 b 8090.00 c N280 691.50 b 33.20 a 43.76 a 8925.00 a Analysis of variance ANOVA Nitrogen ** ** ** ** Variety * ** ** ** Nitrogen ×Variety ns ns ns * Compared to different variety YH-618, YH-20410, significantly increased the contents of clear, ball, alcohol and gluten, protein content by 4.8%-13.9% and protein yield by 17.5%-26.2% (Table 7 ).Compared to 280 kg ha −1 significantly increased grain clearance, alcohol solution, gluten content, grain protein content and protein yield under variety YH-20410 conditions, and the difference was not significant compared to N rate. Variety YH-618 gliadin contents under N application, and there was no significant difference between them. In conclusion, variety YH-20410 was beneficial to increase the contents of protein, and components in grains, and there was no significant difference between the contents of protein and components in grains when the nitrogen was reduced by 12.5% based N rate. Table 7 Effect of nitrogen application amount reduction on grain protein and its component contents at maturity of wheat Variety N rate Albumin (%) Globulin (%) Gliadin (%) Glutenin (%) Glu/Gli Protein (%) Protein yield (kg ha −1 ) YH-618 N0 1.73 d 1.35 d 3.68 d 3.76 e 1.02 b 11.72 d 739.73 e N210 1.91 c 1.48 c 3.85 c 4.05 d 1.05 a 12.14 cd 872.28 d N280 2.08 b 1.55 bc 4.21 b 4.24 c 1.01 c 12.75 c 1026.53 c YH-20410 N0 1.84 cd 1.47 c 3.94 c 4.09 d 1.04 a 12.28 cd 888.26 d N210 2.06 b 1.6 b 4.23 b 4.32 b 1.02 b 13.41 b 1084.83 b N280 2.27 a 1.74 a 4.47 a 4.47 a 1.00 c 14.52 a 1295.92 a Analysis of variance ANOVA Nitrogen ** ** ** ** * ** ** Variety ** ** ** ** ** ** ** Nitrogen ×Variety ns ns ns * * ns * 4 Discussion 4.1 Effects of nitrogen reduction on yield, and quality of winter wheat The results showed that the variety YH-20410 with 12.5% nitrogen reduction increased the amount of nitrogen accumulation in various organs at the maturity stage, the amount of nitrogen transportation before flowering and the contribution rate of nitrogen to the grain, and the difference was not significant with the conventional nitrogen application. This may be due to the increase in total water consumption during the growth period after wide sowing, which promoted the uptake and utilization of nutrients in aboveground plants, and thus increased the nitrogen accumulation of plants 23 . The optimum nitrogen application rates vary with the increasing production, and effect of higher nitrogen fertilizer application rate proved better because fertility has improved the plant growth by promoting the absorption 24 .Wheat grain protein can be categorized as albumins, globulins, gliadins, and glutenins according to their solubility properties. Albumins and globulins are soluble proteins comprising various variety, and inhibitors, which have crucial structural, and metabolic functions during grain-filling 25 . Thus, it is very important to develop agronomic practices to balance grain quality and yield in soft wheat production. Nitrogen uptake and productivity of cereal crops could be enhanced by increasing plant density under reduced N supply, which has been confirmed in rice ( Oryza sativa L.) 26 . Therefore, we hypothesized that spike number per unit area could be significantly improved by increasing N in wheat, which may partially compensate for grain yield GY loss caused by reducing N rate 27 . Hence, there may be interaction effect on wheat quality between N rate and verities. 4.2 Effects of different nitrogen fertilizer characteristics of wheat: The optimum nitrogen application rates varies with the increasing production, and effect of higher nitrogen fertilizer application rate proved better because fertility has improved the plant growth by promoting the absorption and transportation of fertilizer by the root system 28 .Wheat grain protein can be categorized as albumins, globulins, gliadins, and glutenins according to their solubility properties. Albumins and globulins are soluble proteins comprising various variety, and inhibitors, which have crucial structural, and metabolic functions during grain-filling 25 . Gliadins and glutenins, called gluten proteins, interact to form a viscoelastic gluten network in dough, which are essential in determining the baking quality of wheat flour products 29 . In China, the N application rate has been generally much higher than the recommended dose of 280 kg N ha − 1 in soft wheat production for higher grain yield GY 30 . 4.3 Effects of different nitrogen fertililer rste, and yield formation of wheat: Showed that increasing N application rate in the range of 280 kg ha −1 could significantly increase grain yield, and when N application rate exceeded 280 kg ha −1 , grain yield was not significantly increased. The results showed that compared with 0 kg ha −1 and 210 kg ha −1 , 280 kg ha −1 significantly increased grain number per spike by 6.8%-11.2%, 1000-grain weight by 6.8%-10.3% and yield by 10.3%-23.4%. And there was no significant difference with conventional nitrogen application 31 . The range of 280 kg ha −1 , wheat gliadin, glutenin and grain protein content increased with the increase of nitrogen application rate, and the protein content exceeded 12.5%, and starch peak viscosity and final viscosity also increased with the increase of nitrogen application rate. The protein content, peak viscosity and final viscosity of starch were not significantly different from those of 280 kg ha −1 when the N rate was increased to 280 kg ha −1 26 showed that the starch content, wet gluten content, sedimentation value, water absorption rate, dough formation time and stabilization time increased when the nitrogen application rate increased in the range of 280 kg ha −1 , and all quality parameters decreased when the nitrogen application rate continued to increase. The results showed that when nitrogen was reduced by 12.5%, the contents of amylose, amylopectin and total starch were increased, and the settling value, water absorption rate, dough formation and stabilization time, starch thinning value, peak time, and gelatinization temperature were increased. It indicated that the appropriate nitrogen application rate was beneficial to increase grain yield and improve grain quality. The pioneering one about increasing profitability through the site-specific management of wheat fertilization 32 . These results were obtained despite differences between N treatments were always significant 33 found that a large reduction in N inputs (up to 48.6 %) was due to in-season system to evaluate the crop and optimize N rates compared with the practices normally applied by farmers. A further reduction (up to 19.6 %) was possible through site-specific application. This method maximized spring N fertilizer use efficiency and reduced within-field grain yield variance, compared with field-specific management. Similarly, in a field trial in the UK, the application of N by using sensors saved 15 kg N ha −1 without a negative influence on yield, which increased the N. In addition, there were potential environmental benefits through a 52 % reduction of the residual N in the soil. The author reported a cost of sensing of N210 ha −1 which could be offset by the N rate reduction together with a small (by only 1 %) increase of yield. On this matter 34 . Results showed that supplying fertilizer N only when a crop response is expected may improve use efficiency and profitability 35 . From all the above, it can be summarized that field studies in which sensor-based N management systems were compared with common farmer practices have indicated significant increases in the N. 5 Conclusion In conclusion, the soil water storage at the wintering stage was significantly highest at N280 KG HA–1, variety YH-20410, was beneficial to increase the dry matter accumulation of each organ at maturity stage, and the dry matter accumulation of leaf, stem + leaf sheath. Variety YH-20410, was beneficial to improve the N harvest index and N productivity of wheat. Increase of spike number, grain number per spike and 1000-grain weight, thus achieving high yield, and the grain number per spike, 1000-grain weight and yield were significantly higher when the nitrogen was reduced by 12.5% based N rate. N280 KG HA –1 significantly increased grain clearance, alcohol solution, gluten content, grain protein content and protein yield under variety YH-20410 conditions. Abbreviations AS, anthesis stages; F, Flowering; J, jointing; M, maturity; GN, grain number; TGW, thousand grain weight; GY, grain yield; NAE, nitrogen agronomic efficiency; NUE, nitrogen use efficiency GPC, grain protein content GN, grain number; TGW, thousand grain weight; GY, grain yield; NAE, nitrogen agronomic efficiency; GPC, grain protein content; WGC, wet gluten content; W – wintering; Declarations Authors’ Contributions Hafeez Noor: methodology, formal analysis, investigation, writing-Original draft preparation. Hafeez Noor: writing- original draft preparation. Min Sun: conceptualization. Aixia Ren :investigation. Wen Lin: investigation. Zhiqiang Gao: project administration. Min Sun: supervision, writing— reviewing and editing. Funding The authors are thankful to ‘Modern Agriculture Industry Technology System Construction’ (No. CARS-3124), The National Key Research and Development Program of China (No. 2018YFD020040105), The Sanjin Scholar Support Special Funds Projects, National Natural Science Foundation of China (No. 31771727), The ‘1331’ Engineering Key Innovation Cultivation Team Organic Dry Cultivation and Cultivation Physiology Innovation Team (No. SXYBKY201733) for financial support of this study. Data Availability (Data Transparency) Data could be available on demand. Ethics Approval Not applicable. Consent to Participate Not applicable. Consent for Publication Not applicable. Conflict of Interest Authors have no conflict of interest. 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Also discoverable on Platform About Our Team In Review Editorial Policies Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-963205","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":62949353,"identity":"de294fed-bbf5-4562-8be3-5009e06fd581","order_by":0,"name":"Hafeez Noor","email":"","orcid":"","institution":"Shanxi Agricultural University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Hafeez","middleName":"","lastName":"Noor","suffix":""},{"id":62949354,"identity":"ac93276a-6417-43d4-9b56-287022c6466f","order_by":1,"name":"Sun Min","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA8ElEQVRIiWNgGAWjYPACCQZ+ZuYDBz4AmWzsxGqRbG9LPDgDpIWZWHsMzpwxPswDYhHSIj/t+DPpwhyLPIYbCQaHbX5tk+djZmD88DEHj+G3c8ykZ26TKGackZBwOLfvtmEbMwOz5MxteLRI57BJ826TSGyWSDhwOLfnNiNQCxszLx4t8rPTn4G1tEkkNhy27LltT1ALw+0EM7CWHp7DDIcZftxOJKgF6Bdja5CWGextDAd7G24ntzEzNuP1C9BhD2/zbqtL3H+Y//OHH39u285vbz744SM+h6EAxjYw2UCsehD4Q4riUTAKRsEoGCkAAI75UZFDrzO1AAAAAElFTkSuQmCC","orcid":"","institution":"Shanxi Agricultural University","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Sun","middleName":"","lastName":"Min","suffix":""},{"id":62949355,"identity":"92bc3d7a-c987-4d1d-b7ac-d079826ff614","order_by":2,"name":"Wen Lin","email":"","orcid":"","institution":"Shanxi Agricultural University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Wen","middleName":"","lastName":"Lin","suffix":""},{"id":62949358,"identity":"1a7d7201-5c6e-4c4e-95ba-4d3645a7630b","order_by":3,"name":"Zhiqiang Gao","email":"","orcid":"","institution":"Shanxi Agricultural University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Zhiqiang","middleName":"","lastName":"Gao","suffix":""}],"badges":[],"createdAt":"2021-10-11 02:14:06","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-963205/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-963205/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":15607042,"identity":"e0d5dd47-26d9-44e6-b0f7-b61c6eba6a3c","added_by":"auto","created_at":"2021-11-16 20:55:28","extension":"jpg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":196982,"visible":true,"origin":"","legend":"Location preparation at experimental site was located of Shanxi Agricultural University Taigu.","description":"","filename":"Fingure1.jpg","url":"https://assets-eu.researchsquare.com/files/rs-963205/v1/42ca1b75c7bbacca70290d7b.jpg"},{"id":15607039,"identity":"f8d0575e-9a02-4f2f-b961-45b2cfbcfccd","added_by":"auto","created_at":"2021-11-16 20:55:28","extension":"jpg","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":122108,"visible":true,"origin":"","legend":"Effects of different nitrogen amount variety, on plant height at mature in growth period of wheat (Variety YH-618, YH-20410; N0, N210 and N280 indicated 0, 210 and 280 kg N ha–1). Different letters indicate significant differences (p \u003c 0:05) among treatments with in a growth stage by Fisher's least significant difference.","description":"","filename":"Fingure2.jpg","url":"https://assets-eu.researchsquare.com/files/rs-963205/v1/412a979434b3bcd3a6dc58fc.jpg"},{"id":15607054,"identity":"0ee461af-ac24-4619-8f50-c8923f4198f2","added_by":"auto","created_at":"2021-11-16 20:58:28","extension":"jpg","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":136380,"visible":true,"origin":"","legend":"Effects of different nitrogen amount variety, on leaf area index after (LAI) anthesis of wheat. (Variety YH-618, YH-20410; N0, N210 and N280 indicated 0, 210 and 280 kg N ha–1). Different letters indicate significant differences (p \u003c 0:05) among treatments with in a growth stage by Fisher's least significant difference.","description":"","filename":"Fingure3.jpg","url":"https://assets-eu.researchsquare.com/files/rs-963205/v1/848a36f90ab7cd2d18a309cd.jpg"},{"id":15607041,"identity":"689022ae-9e5c-45b4-86bd-66371e7956f8","added_by":"auto","created_at":"2021-11-16 20:55:28","extension":"jpg","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":215504,"visible":true,"origin":"","legend":"Effects of different nitrogen amount variety, on soil water storage of 0-200 cm depth at different growing stage. Soil water storage at different stage of winter wheat. Different letters indicated significant differences among treatments by Fisher's LSD test.","description":"","filename":"Fingure4.jpg","url":"https://assets-eu.researchsquare.com/files/rs-963205/v1/878d9b42bf6b4ddeb9a20e86.jpg"},{"id":19672246,"identity":"d35f234e-f929-47c7-9162-a33dc380cc14","added_by":"auto","created_at":"2022-03-28 07:44:31","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":742224,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-963205/v1/4ff29c7f-601d-4da8-a6b2-aad0fe5b6bb9.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"\u003cp\u003eAdoption of Efficient Varieties, And Nitrogen Management For Improving Agronomic Attributes, And Yield of Winter Wheat\u003c/p\u003e","fulltext":[{"header":"1 Introduction","content":"\u003cp\u003eWheat (\u003cem\u003eTriticum aestivum\u003c/em\u003e L.) is one of the most important staple foods in the world, which provides app. 20 % of the daily dietary protein for the humankind\u003csup\u003e1\u003c/sup\u003e. It can be used to produce various flour-derived products such as biscuits, noodles and bread. It has been reported that the consumption of biscuits produced by soft wheat increased rapidly in China. According to the Chinese Baked Goods Sugar Products Industry Association, from 2004 to 2019, the biscuit production had increased from 1.05 to 12.5 million tons with an annual growth rate of 18.0 %. The middle and lower reaches of Yangtze River is the optimum ecological region for high-quality soft wheat production, with an annual planting area of ca. 400,000 ha\u003csup\u003e2\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003eWheat are the most important food crops in Asia, providing food grains for more than 20% of the population worldwide\u003csup\u003e3\u003c/sup\u003e. in the North China Plain showed that, compared with conventional farmer practice (280 kg N ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e ), sensor-based N management strategy (67 kg N ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e ) decreased residual soil mineral-N content after harvest on average by 44 % (across 2 years). Furthermore, N was considerably greater (by 368 %) for the sensor-based fertilizer recommendation than for common farmer practice. Also, this strategy produced comparable grain yields. Similarly\u003csup\u003e4\u003c/sup\u003e also showed that winter wheat N improved when mid-season fertilization was based on optically sensed in-season estimates of grain yield. Nitrogen rate, in fact, increased by more than 15 % compared with the Variety and N rate of 280 kg N ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e. As N increases, generally the ability of site-specific fertilization to maintain profitability with lower average N applications is expected to be improved\u003csup\u003e5\u003c/sup\u003e. Indicated that the model-based fertilizer prescription led to N rate increased in about 53 % of the grids and enabled the design of N prescriptions adapted to plants demand. In different studies, lower N doses were applied on winter wheat based on crop reflection methods, producing the best efficiency in terms of grain production (as highest ratio: yield/applied N) and grain yields equivalent to the current standard method\u003csup\u003e6\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003eThe green leaf area, and duration have significant effects on the grain yield, and shaded leaves become senescent earlier compared to unshaded leaves\u003csup\u003e7\u003c/sup\u003e. Accelerated leaf senescence leads to a lower grain yield in wheat because of nutritional and hormonal signals\u003csup\u003e8\u003c/sup\u003e.Thus, reducing accelerated leaf senescence in dense plant populations is important for increasing the production of wheat. Nitrogen is important for enhancing the photosynthetic efficiency and leaf area \u003csup\u003e9\u003c/sup\u003e. Thus, it is very important to develop agronomic practices to balance grain quality and yield in wheat production.\u003c/p\u003e \u003cp\u003ePrevious studies showed that both GPC and grain yield (GY) can be increased by N fertilizer simultaneously under low to medium N rate (0\u0026ndash;210 kg N ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e), but GPC was continuously increased with no further increase in GY under high N rate (210\u0026ndash;280 kg N ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e)\u003csup\u003e10\u003c/sup\u003e. In China, the N application rate has been generally much higher than the recommended dose of 280 kg N ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e in soft wheat production for higher GY\u003csup\u003e11\u003c/sup\u003e, which may deteriorate the biscuit-making performance with obviously increasing GPC. Reducing N rate can significantly decrease GPC and wet gluten content (WGC) of soft wheat, which help to form softer dough and produce crisper biscuits\u003csup\u003e12, 13\u003c/sup\u003e. N agronomic efficiency (NAE) is also enhanced by reducing N input\u003csup\u003e14\u003c/sup\u003e. However, reducing N rate also increased the risk of GY loss mainly owing to reductions in both number of spikes and grains\u003csup\u003e15\u003c/sup\u003e. Thus, it is very important to develop agronomic practices to balance grain quality and yield in soft wheat production. Nitrogen uptake and productivity of cereal crops could be enhanced by increasing plant density under reduced N supply, which has been confirmed in wheat\u003csup\u003e16\u003c/sup\u003e\u003c/p\u003e \u003cp\u003eN accumulation in each growth stage of wheat was significantly increased when N application rate was 280 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e, and nitrogen accumulation in leaves before flowering, stem sheath and cob, and contribution to grain, N agronomic use efficiency (AUE), and N use efficiency (NUE) were also significantly increased. The results showed that the N harvest index and NUE increased significantly when N was reduced by 12.5%, reaching 5.0%-19.4% and 2.9%-9.1%, respectively\u003csup\u003e17\u003c/sup\u003e. Fertilizers constitute an integral part for improved crop production technology. Nitrogen (N) is an essential mineral nutrient for plant growth, expands soil fertility and crop productivity proper amount of fertilizer application is considered a key for high crop production\u003csup\u003e18\u003c/sup\u003e.\u003c/p\u003e \u003cp\u003eThe objective of this study was to reveal the combined effects of reduced N rate N0, N210, and 280 kg N ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e, and increased variety on: (1) protein content and yield; (2) \u003cem\u003eGY, NUE, and NAE\u003c/em\u003e (3) Nitrogen application rate of N280 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e was more beneficial. The results would provide a novel view for achieving the balance between 280 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e was beneficial to increase the content of gluten in grains, obtain higher protein content and protein yield in grains, and increase the content of dry gluten in grains. Variety YH-20410 will benefit farmers by forming stronger overall crops, promoting the coordinated improvement of yield.\u003c/p\u003e"},{"header":"2 Measurements, And Experimental Design And Treatments","content":"\u003cp\u003eAll methods were performed in accordance with the relevant guidelines. The experiment was conducted in the wheat experimental base of Shanxi agricultural university in Taigu, Shanxi Province, China (E112\u0026deg;34 \u0026apos;E, N37\u0026deg;25\u0026apos; N) from 2020 to 2021, which belonging to the temperate continental climate zone, with an average annual temperature of 10.4\u0026deg;C. The pond was planted in a pool 2 m deep, separated by concrete walls with a thickness of 20 cm, and an insulation layer of 10 cm added to the outer walls. The soil type in the pool was classified as silty clay loam (Chinese soil taxonomy). Table \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e\u003c/p\u003e\n\u003cdiv class=\"gridtable\"\u003e\u0026nbsp;\u0026nbsp;\u003ctable border=\"1\" id=\"Tab1\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eSoil nutrient properties from experimental location in Shanxi Taigu.\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eSoil nutrients\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e2019-2020\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003e2020-2021\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eOrganic matter (g kg\u003csup\u003e\u0026minus;1\u003c/sup\u003e)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e12.64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e12.53\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eAvailable phosphorous (mg kg\u003csup\u003e\u0026minus;1\u003c/sup\u003e)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e14.28\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e14.15\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eAvailable potassium (mg kg\u003csup\u003e\u0026minus;1\u003c/sup\u003e)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e219.6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"char\"\u003e\n \u003cp\u003e225.56\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n\u003c/div\u003e\n\u003cp\u003eThe experiment had a split-plot design with three replications. All methods were performed in accordance with the relevant guidelines. The greenhouse experiment comprised of three nitrogen treatments. Three nitrogen treatments were 0, 210 and 280 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e (N0, N210, and N280 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e respectively), winter wheat (\u003cem\u003eTriticum aestivum\u003c/em\u003e L.), two cultivar \u0026lsquo;Yunhan 20410\u0026rsquo; \u0026lsquo;Yunhan 618\u0026rsquo; were obtained from the Taigu Agriculture Bureau, Taigu, China. The area of each plot was 2\u003csub\u003em\u003c/sub\u003e\u0026times; 4 \u003csub\u003em\u003c/sub\u003e=8 \u003csub\u003em\u003c/sub\u003e\u003csup\u003e2\u003c/sup\u003e. Experimental site in Fig. \u003cspan class=\"InternalRef\"\u003e1\u003c/span\u003e.\u003c/p\u003e\n\u003cp\u003eBefore sowing, Pure P\u003csub\u003e2\u003c/sub\u003eO\u003csub\u003e5\u003c/sub\u003e and K\u003csub\u003e2\u003c/sub\u003eOwere applied at the rate of 150 and 75 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003erespectively, the nitrogen fertilizer was applied to the base fertilizer. The seeds were sown on November 8, 2020, planted in manual with row spacing of 20cm and sowing quantity of 225 k\u003csub\u003em\u003c/sub\u003e ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e. Irrigation was applied using a drip irrigation system, with application of 50 mm each time as measured with a water meter. All plants were harvested on June 2, 2021. The field was kept free from insects, pests, and diseases using pesticides as needed. During whole growing season, weed was well controlled by hand.\u003c/p\u003e\n\u003cdiv class=\"Section2\" id=\"Sec3\"\u003e\n \u003ch2\u003e2.1 Agronomic characters of plants\u003c/h2\u003e\n \u003cp\u003eThree rows of wheat plants in the sample area of 0.667 \u003csub\u003em\u003c/sub\u003e\u003csup\u003e2\u003c/sup\u003e were selected to investigate the number of tillers in the population at the stages of wintering, jointing, booting, flowering and maturity, respectively, and 20 representative plants with uniform growth were selected to measure the plant height.The wheat plants whose plant height was measured were carefully divided into two groups, the roots were cut off, the whole wheat plant was separated into organs, put into a kraft paper bag, written and processed, and put into the oven. The drying was done at 105℃ for 30 min, and then dried at 75℃ until the weight was constant. The wheat plants were taken out and weighed and the dry matter weight was recorded.\u003c/p\u003e\n \u003cp\u003eTen representative plants were selected from the field every 10 days after flowering, and the length, width and number of leaves per plant were recorded, and the leaf area index (LAI) was calculated. After flowering, 10 ears with uniform growth were picked every 5 days, the grains were peeled and counted, and then dried for weighing, grain weight was recorded, and grain filling rate was calculated.and leaf area index (LAI) was calculated from following formula:\u003csup\u003e19\u003c/sup\u003e LAI =\u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\frac{\\text{l}\\text{e}\\text{n}\\text{g}\\text{t}\\text{h}\\times \\text{w}\\text{i}\\text{d}\\text{t}\\text{h}\\times \\text{n}\\text{u}\\text{m}\\text{b}\\text{e}\\text{r} \\text{o}\\text{f} \\text{g}\\text{r}\\text{e}\\text{e}\\text{n} \\text{l}\\text{e}\\text{a}\\text{v}\\text{e}\\text{s}}{\\text{l}\\text{a}\\text{n}\\text{d} \\text{a}\\text{r}\\text{e}\\text{a}}\\)\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv class=\"Section2\" id=\"Sec4\"\u003e\n \u003ch2\u003e2.2 Soil moisture\u003c/h2\u003e\n \u003cp\u003eSoil gravimetric moisture content (GSW, %) was recorded and expressed in soil water storage (SWS, mm). Gravimetric water content was measured at 20 cm increments to a depth of 200 cm in the 45th, 108th day after previous harvesting. At the developmental stages of sowing, overwintering, jointing, heading, anthesis and maturity, the soil gravimetric moisture was also determined in each treatment. For each soil sample, the gravimetric water content was calculated as the ratio of the mass of water present to the dry (weight of fresh soil sample weight of dry soil sample) to the dry weight of the soil sample. Dry weight of soil sample was obtained after placing the fresh sample in an oven at 105\u0026deg;C for 72 h. For each plot, gravimetric water content at a given layer was determined by averaging the values from three random sampling points placed in the central between two plants in the row. Before the setup of plots, the soil bulk density was measured at 20 cm increments to a depth of 300 cm for the whole soil profile (0\u0026ndash;200 cm depth). Soil water storage for a given layer was calculated as follows \u003csup\u003e20\u003c/sup\u003e:\u003c/p\u003e\n \u003cp\u003eSWS (mm) = GSW (%) \u0026times; \u003cem\u003e\u0026rho;\u003c/em\u003eb (gcm\u003csup\u003e\u0026minus;3\u003c/sup\u003e) \u0026times; SD (mm) (1)\u003c/p\u003e\n \u003cp\u003eWhere \u0026rho;b is soil bulk density of given soil layer, and SD refers to soil depth.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv class=\"Section2\" id=\"Sec5\"\u003e\n \u003ch2\u003e2.3 Yield and yield component\u003c/h2\u003e\n \u003cp\u003eAt maturity, 20 plants from each plot were randomly sampled from the inner rows for the determination of yield components such as ear number, seed number per ear and weight of thousand seed. Plot grain yield was determined by harvesting all plants in the area of 20m\u003csup\u003e2\u003c/sup\u003e, shelled using machine and the grain was air-dried for the determination of grain yield.\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv class=\"Section2\" id=\"Sec6\"\u003e\n \u003ch2\u003e2.4 Wet gluten content processing quality\u003c/h2\u003e\n \u003cp\u003eThe bromophenol blue water solution and isopropanol lactic acid mixture, and the settling values were determined by shock. The landing value was measured using the Landing Numerical Measurer (\u003cem\u003eFN-IV\u003c/em\u003e). The Micro dough LAB, a micro powder instrument was produced by a [\u003cem\u003eSwedish company Botone\u003c/em\u003e (\u003cem\u003eSCB\u003c/em\u003e)] and it was measured the fluidity of bread. The wet gluten content and gluten index were measured using the Gluten Index Meter (\u003cem\u003eMJZ-II\u003c/em\u003e) Mian Jin zhi\u0026ndash;2 gluten index analyzer china) quality analyzer. For Quality analysis dough mixed from 200g flour was divided into small dough weighted based on 0.25g flour calculated as by using the following formula\u003csup\u003e21\u003c/sup\u003e:\u003c/p\u003e\n \u003cp\u003e\u003cimg src=\"data:image/png;base64,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\"\u003e\u003c/p\u003e\n \u003cp\u003eThe dry gluten was obtained by drying the wet gluten in an oven (\u003cem\u003eTD5G, Hunan Xiang Li Scientific instruments com., Lt China\u003c/em\u003e) to constant weight at 100℃ for 24h using the air oven drying method. The dried gluten was left cool for 1 h before taking its weight as the dry gluten content. The percentage of dry gluten obtund was calculated using following formula.\u003cbr\u003e\u003cspan class=\"InlineEquation\"\u003e\u003cspan class=\"mathinline\"\u003e\\(\\text{D}\\text{r}\\text{y} \\text{g}\\text{l}\\text{u}\\text{t}\\text{e}\\text{n} \\left[\\%\\right]=\\frac{\\text{M}\\text{a}\\text{s}\\text{s} \\text{o}\\text{f} \\text{d}\\text{r}\\text{y} \\text{g}\\text{l}\\text{u}\\text{t}\\text{e}\\text{n} \\left(\\text{g}\\right)}{0.25\\text{g} \\text{f}\\text{l}\\text{o}\\text{u}\\text{r}}\\times 100\\)\u003c/span\u003e\u003c/span\u003e\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv class=\"Section2\" id=\"Sec7\"\u003e\n \u003ch2\u003e2.5 Nitrogen calculation\u003c/h2\u003e\n \u003cp\u003eValues for nitrogen were calculated following \u003csup\u003e22\u003c/sup\u003e using the following formulae:\u003c/p\u003e\n \u003cp\u003ePlant nitrogen accumulation = plant biomass \u0026times; Nitrogen content\u003c/p\u003e\n \u003cp\u003ePre-anthesis accumulated nitrogen translocation (PANT) = nitrogen accumulation in vegetative organs at the anthesis stage \u0026minus; nitrogen accumulation in vegetative organs at the maturation stage\u003c/p\u003e\n \u003cp\u003eContribution to N in kernels (%) of PANT\u003c/p\u003e\n \u003cp\u003e=PANT=Nitrogen accumulation in kernels \u0026times; 100%\u003c/p\u003e\n \u003cp\u003eNitrogen accumulation after anthesis (NAAA) = nitrogen accumulation in the plant at the maturation stage \u0026ndash; nitrogen accumulation in the plant at the anthesis stage Contribution to N in kernels (%) of NAAA\u003c/p\u003e\n \u003cp\u003e= NAAA=nitrogen accumulation in kernels\u0026times;100%\u003c/p\u003e\n \u003cp\u003eN uptake efficiency\u003c/p\u003e\n \u003cp\u003e= Nitrogen accumulation in plant/applied amount of nitrogen\u003c/p\u003e\n \u003cp\u003eN use efficiency\u003c/p\u003e\n \u003cp\u003e= Grain yield/nitrogen accumulation in the plant\u003c/p\u003e\n \u003cp\u003eN productive efficiency\u003c/p\u003e\n \u003cp\u003e= Grain yield/applied amount of nitrogen\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv class=\"Section2\" id=\"Sec8\"\u003e\n \u003ch2\u003e2.6 Statistical analysis\u003c/h2\u003e\n \u003cp\u003eThe different data were subjected to analysis of variance (\u003cem\u003eANOVA\u003c/em\u003e) as split-plot design using \u003cem\u003eDPS\u003c/em\u003e and \u003cem\u003eSAS 9.0\u003c/em\u003e. \u003cem\u003eGraphics\u003c/em\u003e were constructed using \u003cem\u003eMicrosoft Excel 2010\u003c/em\u003e. Mean values were calculated and significance of the difference between treatments was tested by LSD (least significant difference) method at the significance level of \u003cem\u003eP\u003c/em\u003e=0.05.\u003c/p\u003e\n\u003c/div\u003e"},{"header":"3 Results","content":"\u003cp\u003e\u003cstrong\u003e3.1 Effects of different nitrogen amount variety, on plant height at each growth stage Leaf area index (LAI) after anthesis stages.\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eEffects of different variety, and compared to variety YH-618, YH-20410, increased plant height in each growth stages of wintering, booting, flowering and maturity (Fig. \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e).Compared with 0 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e and 210 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e (25% N reduction), 280 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e 12% N reduction significantly increased the plant height at the growth stages of pregnancy, flowering and maturity, and had no significant difference with 280 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e N application. Variety YH-20410 was beneficial to ontogeny of plants and increased plant height, and there was significant difference in plant height at booting, flowering and maturity stage between N application and N application was reduced by 12.5%.\u003c/p\u003e\n\u003cp\u003eEffects of different variety, and N rate Compared to variety YH-618, YH-20410, significantly increased leaf area index (LAI) 0-30 days after flowering (Fig. \u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003e). Compared to 0 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e and 210 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e (25% N reduction), 280 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e (12% N reduction) significantly increased leaf area index (LAI) 0-30 days after flowering, and no significant difference with nitrogen application. In conclusion, variety YH-20410 nitrogen 280 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e was beneficial to the improvement of leaf area index after flowering, and the leaf area index at 0-30 days after flowering had no significant difference with the nitrogen application when the nitrogen was reduced by 12.5%.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.2 Effects of different nitrogen amount variety, on soil water storage of 0-200 cm at each growth stage and dry matter weight of each organ at maturity stage.\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eSoil water storage of 0-200 cm at different growth stages with different variety combined to different nitrogen application rates. Under variety YH-20410, the soil water storage at the wintering stage was significantly highest at N280, and lowest at N0 variety YH-618, the soil water storage at the jointing stage, flowering stage and maturity stage was significantly lowest at N280. The soil water at the jointing stage mainly consumed 20-80 cm soil layer, and the soil water at the flowering, and maturity stage mainly consumed 100-200 cm soil layer (Fig. \u003cspan class=\"InternalRef\"\u003e4\u003c/span\u003e).In variety YH-20410, N280 and N210 were the highest and lowest values for soil water storage at wintering and jointing stages, and N210 were also the lowest values at flowering and mature stages. The soil water storage at jointing stage was mainly stored below the soil layer of 100 cm, and the soil water in the soil layer of 40-80 cm was mainly consumed at jointing and flowering stages. In the flowering stage, 100-200 cm depth mainly consumed.\u003c/p\u003e\n\u003cp\u003eAs shown in Table \u003cspan class=\"InternalRef\"\u003e2\u003c/span\u003e, the total dry matter accumulation of winter wheat in each treatment showed an increasing trend during growth period. Different planting. At jointing stage, dry matter was mainly distributed to stems and leaves. The proportion of the middle part was higher than that of the stem, then the proportion of the leaf gradually decreased, and the proportion of the stem increased, and reached in the flag carrying stage. The proportion of stem and leaf decreased, and the proportion of panicle increased significantly after grain-filling, reaching 61.6%. All planting methods had significant effects on stem, leaf, spike and total dry matter weight of winter wheat (P \u0026lt; 0.01). In reproductive period YH-618, and YH-20410 were 5770.0 and 4491.2 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e (stem), respectively. 2526.9, 1736.5 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e (leaf); 6128.4, 4926.5 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e (spike); 12382.6, 9512.1 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e (total dry matter). The results showed that YH-618 \u0026gt; YH-20410. Compared to YH-20410, the dry weight of organs under YH-618 cultivation increased by 28.5% (stem), 45.5% (leaf), 24.4% (ear), 30.2% (total dry matter). The results showed that YH-618 cultivation mode could not only significantly improve dry matter. The total amount of material accumulation, but also can reasonably adjust the allocation proportion of each organ. Nitrogen application rate also significantly affected stem, leaf, spike and total dry matter weight of winter wheat (P \u0026lt; 0.01). The reproductive period .The mean dry weight of organs treated with N0, N210 and N280 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e was 4713.7, 4810.2 and 5868.1 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e (stem), respectively. 1807.9, 1988.8, 2598.4 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e (leaf); 5001.5, 5309.8, 6271.2 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e (spike); 9855.9, 10338.8, 12647.3 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e (total dry matter). N210 increased 2.4% compared with N0 (stem) Weight), 10.0% (leaf dry weight), 6.2% (ear dry weight), 4.9% (total dry matter). N280 increased by 22.0% compared with N210 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e (stem). Dry weight), 30.7% (leaf dry weight), 18.1% (ear dry weight), 22.3% (total dry matter). That was, the dry matter of each organ. It increased with the increase of nitrogen application rate, and the increase rate increased.\u0026nbsp;\u003c/p\u003e\n\u003ctable border=\"1\" id=\"Tab2\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eEffects of planting patterns and nitrogen rates on dry matter accumulation and distribution of winter wheat\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\" colspan=\"2\" rowspan=\"2\"\u003e\n \u003cp\u003eTreatments\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eN0\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eN210\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\u0026nbsp;\u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eN280\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eYH-618\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eYH-20410\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eYH-618\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eYH-20410\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eYH-618\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eYH-20410\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eJointing stage\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eStem\u003c/p\u003e\n \u003cp\u003eLeaf\u003c/p\u003e\n \u003cp\u003eTotal\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1662.7bc\u003c/p\u003e\n \u003cp\u003e2159.5c\u003c/p\u003e\n \u003cp\u003e3822.2c\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1062.8d\u003c/p\u003e\n \u003cp\u003e1544.9d\u003c/p\u003e\n \u003cp\u003e2607.7e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1716.2b\u003c/p\u003e\n \u003cp\u003e2433.9b\u003c/p\u003e\n \u003cp\u003e4150.0b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1142.4d\u003c/p\u003e\n \u003cp\u003e1692.6d\u003c/p\u003e\n \u003cp\u003e2835.0d\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e2136.7a\u003c/p\u003e\n \u003cp\u003e3181.3a\u003c/p\u003e\n \u003cp\u003e5318.0a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1513.7c\u003c/p\u003e\n \u003cp\u003e2414.0b\u003c/p\u003e\n \u003cp\u003e3927.7bc\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eFlag stage\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eStem\u003c/p\u003e\n \u003cp\u003eLeaf\u003c/p\u003e\n \u003cp\u003eTotal\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4596.4cd\u003c/p\u003e\n \u003cp\u003e2289.0c\u003c/p\u003e\n \u003cp\u003e6885.4d\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3901.5de\u003c/p\u003e\n \u003cp\u003e1594.9d\u003c/p\u003e\n \u003cp\u003e5496.4e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e5223.1bc\u003c/p\u003e\n \u003cp\u003e2512.7bc\u003c/p\u003e\n \u003cp\u003e7735.7c\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3250.8e\u003c/p\u003e\n \u003cp\u003e1834.3d\u003c/p\u003e\n \u003cp\u003e5085.1f\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e6155.5a\u003c/p\u003e\n \u003cp\u003e2986.0a\u003c/p\u003e\n \u003cp\u003e9141.5a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e5452.8ab\u003c/p\u003e\n \u003cp\u003e2660.4b\u003c/p\u003e\n \u003cp\u003e8113.2b\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eHeading stage\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eStem\u003c/p\u003e\n \u003cp\u003eLeaf\u003c/p\u003e\n \u003cp\u003eEar\u003c/p\u003e\n \u003cp\u003eTotal\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e6435.1b\u003c/p\u003e\n \u003cp\u003e2335.9b\u003c/p\u003e\n \u003cp\u003e2224.9c\u003c/p\u003e\n \u003cp\u003e10995.8b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4773.3c\u003c/p\u003e\n \u003cp\u003e1480.7c\u003c/p\u003e\n \u003cp\u003e1744.9d\u003c/p\u003e\n \u003cp\u003e7998.9c\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e5932.7b\u003c/p\u003e\n \u003cp\u003e2561.8ab\u003c/p\u003e\n \u003cp\u003e2305.2c\u003c/p\u003e\n \u003cp\u003e10799.7b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4272.5c\u003c/p\u003e\n \u003cp\u003e1457.2c\u003c/p\u003e\n \u003cp\u003e1769.8d\u003c/p\u003e\n \u003cp\u003e7499.5c\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7274.2a\u003c/p\u003e\n \u003cp\u003e2809.5a\u003c/p\u003e\n \u003cp\u003e2839.0a\u003c/p\u003e\n \u003cp\u003e12922.7a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e5964.5b\u003c/p\u003e\n \u003cp\u003e2496.4ab\u003c/p\u003e\n \u003cp\u003e2502.9b\u003c/p\u003e\n \u003cp\u003e10963.8b\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eFlowering stage\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eStem\u003c/p\u003e\n \u003cp\u003eLeaf\u003c/p\u003e\n \u003cp\u003eEar\u003c/p\u003e\n \u003cp\u003eTotal\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e6039.8b\u003c/p\u003e\n \u003cp\u003e2135.5b\u003c/p\u003e\n \u003cp\u003e2296.7c\u003c/p\u003e\n \u003cp\u003e10472b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4400.3d\u003c/p\u003e\n \u003cp\u003e1325.7c\u003c/p\u003e\n \u003cp\u003e1812.6d\u003c/p\u003e\n \u003cp\u003e7538.6c\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e6658.7b\u003c/p\u003e\n \u003cp\u003e2344.3b\u003c/p\u003e\n \u003cp\u003e2568.4b\u003c/p\u003e\n \u003cp\u003e11571.3b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e5158.6c\u003c/p\u003e\n \u003cp\u003e1450.7c\u003c/p\u003e\n \u003cp\u003e1988.4c\u003c/p\u003e\n \u003cp\u003e8597.7c\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7344.7a\u003c/p\u003e\n \u003cp\u003e2764.8\u003c/p\u003e\n \u003cp\u003e2909.4a\u003c/p\u003e\n \u003cp\u003e13018.9a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e6632.8b\u003c/p\u003e\n \u003cp\u003e2234.8b\u003c/p\u003e\n \u003cp\u003e2789.2ab\u003c/p\u003e\n \u003cp\u003e11656.8b\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eFilling stage\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eStem\u003c/p\u003e\n \u003cp\u003eLeaf\u003c/p\u003e\n \u003cp\u003eEar\u003c/p\u003e\n \u003cp\u003eTotal\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7477.2a\u003c/p\u003e\n \u003cp\u003e2232.7b\u003c/p\u003e\n \u003cp\u003e5720.2b\u003c/p\u003e\n \u003cp\u003e15430.0b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e5363.6b\u003c/p\u003e\n \u003cp\u003e1261.2c\u003c/p\u003e\n \u003cp\u003e3687.6d\u003c/p\u003e\n \u003cp\u003e10312.4d\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e8106.0a\u003c/p\u003e\n \u003cp\u003e2543.0b\u003c/p\u003e\n \u003cp\u003e6306.1a\u003c/p\u003e\n \u003cp\u003e16955.2a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e5753.9b\u003c/p\u003e\n \u003cp\u003e1419.4c\u003c/p\u003e\n \u003cp\u003e4839.0c\u003c/p\u003e\n \u003cp\u003e12012.3c\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7589.7a\u003c/p\u003e\n \u003cp\u003e3435.3a\u003c/p\u003e\n \u003cp\u003e6199.4ab\u003c/p\u003e\n \u003cp\u003e17224.4a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7735.9a\u003c/p\u003e\n \u003cp\u003e2185.0b\u003c/p\u003e\n \u003cp\u003e6570.9a\u003c/p\u003e\n \u003cp\u003e16491.8ab\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eMaturity stage\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eStem\u003c/p\u003e\n \u003cp\u003eLeaf\u003c/p\u003e\n \u003cp\u003eEar\u003c/p\u003e\n \u003cp\u003eTotal\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e6125.1ab\u003c/p\u003e\n \u003cp\u003e2058.0ab\u003c/p\u003e\n \u003cp\u003e12400.1b\u003c/p\u003e\n \u003cp\u003e20583.3b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4726.4cd\u003c/p\u003e\n \u003cp\u003e1276.6c\u003c/p\u003e\n \u003cp\u003e10125.0c\u003c/p\u003e\n \u003cp\u003e16128.0c\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e6310.9ab\u003c/p\u003e\n \u003cp\u003e2370.1a\u003c/p\u003e\n \u003cp\u003e13869.6a\u003c/p\u003e\n \u003cp\u003e22550.7a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4196.3d\u003c/p\u003e\n \u003cp\u003e1245.0c\u003c/p\u003e\n \u003cp\u003e8831.5d\u003c/p\u003e\n \u003cp\u003e14272.8d\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7076.0a\u003c/p\u003e\n \u003cp\u003e2330.9a\u003c/p\u003e\n \u003cp\u003e13902.2a\u003c/p\u003e\n \u003cp\u003e23309.1a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e5540.2d\u003c/p\u003e\n \u003cp\u003e1682.8b\u003c/p\u003e\n \u003cp\u003e12456.4b\u003c/p\u003e\n \u003cp\u003e19679.3b\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003ctfoot\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"8\"\u003eNote: N0: No nitrogen; N180: Reduction nitrogen25%; N210: Reduction nitrogen12.5%; Different letters in the same column indicate significant difference at 0.05, *P\u0026lt;0.05; **P\u0026lt;0.01; the same below.\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tfoot\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e3.3 Effects of different nitrogen amount variety, on nitrogen transport before anthesis and nitrogen accumulation after anthesis\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eEffects of different variety, and nitrogen application rate had extremely significant effects on the accumulation, and contribution rate of nitrogen before anthesis, and after anthesis, and different variety \u0026times; nitrogen application rate had extremely significant effects on the accumulation of nitrogen after anthesis (Table \u003cspan class=\"InternalRef\"\u003e3\u003c/span\u003e).Compared to variety YH-618, YH-20410, significantly increased the amount of nitrogen transport before flowering by 17.5%-24.5%, and the contribution rate of nitrogen transport before flowering to grain was also significantly increased by 80.7%.Compared to 0 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e, and 210 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e the N application rate of 210 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e (12.5% N reduction) significantly increased the amount of N transport before flowering by 5.0%-59.8%, and the difference was not significant to N rate, and the contribution rate of N transport before flowering to the grain was also the highest. In conclusion, variety YH-20410, was beneficial to the increase of nitrogen transport before flowering and contribution to grain, and the nitrogen transport before flowering, and contribution to grain were higher when 12.5% nitrogen was reduced based on nitrogen application.\u0026nbsp;\u003c/p\u003e\n\u003ctable border=\"1\" id=\"Tab3\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eEffects of different nitrogen amount variety, on pre-anthesis accumulated nitrogen translocation and nitrogen accumulation after anthesis of wheat\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003eVariety\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" rowspan=\"2\"\u003e\n \u003cp\u003eN rate\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"4\"\u003e\n \u003cp\u003ePANT\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eNAAA\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003cth align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eTA (kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eCP (%)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eTA (kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eCP (%)\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp\u003eYH-618\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eN0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e73.42 d\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e58.03 f\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e52.99 a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e41.97 a\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eN210\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e90.64 c\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e65.23 d\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e48.37 b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e34.77 b\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eN280\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e111.75 b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e74.22 b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e38.8 cd\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e25.78 e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp\u003eYH-20410\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eN0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e91.15 c\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e62.16 e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e55.48 a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e37.84 b\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eN210\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e110.3 b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e71.12 c\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e44.78 b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e28.88 cd\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eN280\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e131.29 a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e80.69 a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e31.56 e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e19.31 f\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"8\"\u003e\n \u003cp\u003eAnalysis of variance ANOVA\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003eNitrogen\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003eVariety\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003eNitrogen \u0026times;Variety\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003ens\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ens\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ens\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003ctfoot\u003e\n \u003ctr\u003e\n \u003ctd colspan=\"8\"\u003eNote: PANT: Pre-anthesis accumulated nitrogen translocation amount from vegetative organs to grains; NAAA: Nitrogen accumulation amount after anthesis; TA: Translation amount; CP: Contribution proportion; The same below.\u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tfoot\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003c/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003cdiv class=\"Section2\" id=\"Sec10\"\u003e\n \u003ch2\u003e3.4 Effects of different nitrogen amount variety, on nitrogen use efficiency (NUE)\u003c/h2\u003e\n \u003cp\u003eEffects of different variety had a very significant effect on N harvest, and N application rate had a very significant effect on N harvest index and N use efficiency (Table \u003cspan class=\"InternalRef\"\u003e4\u003c/span\u003e). Compared with variety YH-618, YH-20410, significantly increased N harvest index by 5.0%-6.6% and N partial productivity by 0.7%-5.3%. Compared with 0 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e, and 180 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e (25% N reduction), 210 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e (12.5% N reduction) significantly increased the N harvest index by 5.0\u0026ndash;19.4% and N use efficiency by 2.9\u0026ndash;9.1%, but there was no significant difference in N uptake efficiency. In conclusion, variety YH-20410, was beneficial to improve the N harvest index and N productivity of wheat, and the N harvest index and N use efficiency were significantly increased when the N was reduced by 12.5% based N application.\u003c/p\u003e\n \u003cdiv class=\"gridtable\"\u003e\u0026nbsp;\u003ctable border=\"1\" id=\"Tab4\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 4\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eEffects of different nitrogen amount variety, on nitrogen use efficiency of wheat\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eVariety\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eN rate\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eN uptake efficiency\u003c/p\u003e\n \u003cp\u003e(kg kg\u003csup\u003e\u0026minus;1\u003c/sup\u003e)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eNitrogen harvest index\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eN use efficiency (kg kg\u003csup\u003e\u0026minus;1\u003c/sup\u003e)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eN productive efficiency\u003c/p\u003e\n \u003cp\u003e(kg kg\u003csup\u003e\u0026minus;1\u003c/sup\u003e)\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp\u003eYH-618\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eN0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026mdash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e0.67 e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e39.64 e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026mdash;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eN210\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.16 a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e0.74 cd\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e41.36 c\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e47.83 b\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eN280\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.07 a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e0.80 b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e42.69 b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e45.69 bc\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp\u003eYH-20410\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eN0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026mdash;\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e0.71 d\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e40.33 d\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e\u0026mdash;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eN210\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.19 a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e0.78 b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e42.16 b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e50.38 a\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eN280\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.10 a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e0.84 a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e43.37 a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e47.51 b\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"7\"\u003e\n \u003cp\u003eAnalysis of variance ANOVA\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eNitrogen\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003ens\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ens\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ens\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eVariety\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003ens\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ens\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eNitrogen \u0026times;Variety\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003ens\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ens\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ens\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ens\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n \u003c/div\u003e\n \u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv class=\"Section2\" id=\"Sec11\"\u003e\n \u003ch2\u003e3.5 Effects of different nitrogen amount variety, N agronomic use efficiency at maturity\u003c/h2\u003e\n \u003cp\u003eEffects of different variety and nitrogen application rate had extremely significant effects on spike length, number of fertile spike and number of sterile spikes at the wintering, jointing, flowering and maturity stages of wheat, but variety \u0026times; nitrogen application rate had no significant effects on them. Compared with variety YH-618, YH-20410, significantly increased ear length and bearing spikelet number, and significantly reduced the number of sterile spike (Table \u003cspan class=\"InternalRef\"\u003e5\u003c/span\u003e). Compared with 0 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e and 180 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e (25% N reduction), 210 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e (12.5% N reduction) significantly increased ear length and Sterility spikelet number but had no significant difference with conventional N application. In conclusion, variety YH-20410, was beneficial to increase the spikelet length and the number of fertile spike mature stage, and there was no significant difference between spike length and Bearing spikelet number when nitrogen was reduced by 12.5% based on N application.\u003c/p\u003e\n \u003cdiv class=\"gridtable\"\u003e\u0026nbsp;\u003ctable border=\"1\" id=\"Tab5\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 5\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eEffect of nitrogen application amount reduction on the N agronomic use efficiency at mature of wheat\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eVariety\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eN rate\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eSpike Length (cm)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eBearing spikelet number\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eSterility spikelet number\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp\u003eYH-618\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eN0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e6.8 d\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e14.2 d\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.80 a\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eN210\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e6.9 d\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e14.4 d\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.60 ab\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eN280\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7.2 bc\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e17.4 bc\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.51 bc\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp\u003eYH-20410\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eN0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7.1 c\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e16.2 c\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.40 bc\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eN210\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7.3 b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e17.3 bc\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.30 c\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eN280\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e7.6 a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e19.4 a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.00 d\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"7\"\u003e\n \u003cp\u003eAnalysis of variance ANOVA\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eNitrogen\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003e**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eVariety\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003e*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eNitrogen \u0026times;Variety\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"3\"\u003e\n \u003cp\u003ens\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ens\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ens\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n \u003c/div\u003e\n \u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003c/div\u003e\n\u003cdiv class=\"Section2\" id=\"Sec12\"\u003e\n \u003ch2\u003e3.6 Effects of different nitrogen amount variety, on yield components.\u003c/h2\u003e\n \u003cp\u003eNitrogen application rate had significant or extremely significant effects on Spike number, grain number per ear, 1000-grain weight and yield, and variety \u0026times; nitrogen application rate had significant effects on yield. Compared with variety YH-618, YH-20410, significantly increased spike number by 2.3\u0026ndash;3.2%, grain number per spike by 10.4\u0026ndash;13.6%, 1000-grain weight by 6.6\u0026ndash;9.2% and yield by 7.3\u0026ndash;14.7% (Table \u003cspan class=\"InternalRef\"\u003e6\u003c/span\u003e).Under variety YH-20410, nitrogen application significantly increased the Spike number Compared to 0 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e and 180 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e (25% N reduction), 210 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e (12.5% N reduction) significantly increased grain number per spike by 6.8%-11.2%, 1000-grain weight by 6.8%-10.3% and yield by 10.3%-23.4%. And there was no significant difference with nitrogen application. Under variety YH-20410 conditions, compared to other treatments, nitrogen application significantly increased the number of panicles by 3.4%-10.8% and the yield by 4.8%-33.7%. Compared to 0 N application and 25% N reduction, 12.5% N reduction significantly increased the grain number per spike and 1000-grain weight but had no significant difference with N application. In conclusion, variety YH-20410, was beneficial to the increase of spike number, grain number per spike and 1000-grain weight, thus achieving high yield, and the grain number per spike, 1000-grain weight and yield were significantly higher when the nitrogen was reduced by 12.5% based N rate, and there was no significant difference between them.\u0026nbsp;\u003c/p\u003e\n \u003ctable border=\"1\" id=\"Tab6\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003e\u003cbr\u003eTable 6\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eEffects of different nitrogen amount variety, on yield and components of wheat\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eVariety\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eN rate\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eSpike number (10\u003csup\u003e4\u003c/sup\u003e ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eGrain number\u003c/p\u003e\n \u003cp\u003ePer spike\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e1000-grain\u003c/p\u003e\n \u003cp\u003eweight (g)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eYield\u003c/p\u003e\n \u003cp\u003e(kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e)\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp\u003eYH-618\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eN0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e630.75 e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e26.28 d\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e38.22 e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e6305.00 e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eN210\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e654.75 d\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e28.18 cd\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e39.67 d\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e7182.50 d\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eN280\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e675.75 c\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e29.23 c\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e40.59 cd\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e8050.00 c\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp\u003eYH-20410\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eN0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e651.00 d\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e29.85 c\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e40.91 cd\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e7232.50 d\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eN210\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e671.25 c\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e31.10 b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e42.29 b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e8090.00 c\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eN280\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e691.50 b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e33.20 a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e43.76 a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e8925.00 a\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"8\"\u003e\n \u003cp\u003eAnalysis of variance ANOVA\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eNitrogen\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eVariety\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eNitrogen \u0026times;Variety\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ens\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003ens\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003ens\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n \u003cp\u003e\u003c/p\u003e\n \u003cp\u003eCompared to different variety YH-618, YH-20410, significantly increased the contents of clear, ball, alcohol and gluten, protein content by 4.8%-13.9% and protein yield by 17.5%-26.2% (Table \u003cspan class=\"InternalRef\"\u003e7\u003c/span\u003e).Compared to 280 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e significantly increased grain clearance, alcohol solution, gluten content, grain protein content and protein yield under variety YH-20410 conditions, and the difference was not significant compared to N rate. Variety YH-618 gliadin contents under N application, and there was no significant difference between them. In conclusion, variety YH-20410 was beneficial to increase the contents of protein, and components in grains, and there was no significant difference between the contents of protein and components in grains when the nitrogen was reduced by 12.5% based N rate.\u003c/p\u003e\n \u003cdiv class=\"gridtable\"\u003e\u0026nbsp;\u0026nbsp;\u003ctable border=\"1\" id=\"Tab7\"\u003e\n \u003ccaption language=\"En\"\u003e\n \u003cdiv class=\"CaptionNumber\"\u003eTable 7\u003c/div\u003e\n \u003cdiv class=\"CaptionContent\"\u003e\n \u003cp\u003eEffect of nitrogen application amount reduction on grain protein and its component contents at maturity of wheat\u003c/p\u003e\n \u003c/div\u003e\n \u003c/caption\u003e\n \u003cthead\u003e\n \u003ctr\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eVariety\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eN rate\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eAlbumin\u003c/p\u003e\n \u003cp\u003e(%)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eGlobulin\u003c/p\u003e\n \u003cp\u003e(%)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eGliadin\u003c/p\u003e\n \u003cp\u003e(%)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eGlutenin\u003c/p\u003e\n \u003cp\u003e(%)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eGlu/Gli\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eProtein\u003c/p\u003e\n \u003cp\u003e(%)\u003c/p\u003e\n \u003c/th\u003e\n \u003cth align=\"left\"\u003e\n \u003cp\u003eProtein yield\u003c/p\u003e\n \u003cp\u003e(kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e)\u003c/p\u003e\n \u003c/th\u003e\n \u003c/tr\u003e\n \u003c/thead\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp\u003eYH-618\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eN0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e1.73 d\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.35 d\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3.68 d\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3.76 e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.02 b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e11.72 d\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e739.73 e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eN210\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e1.91 c\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.48 c\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3.85 c\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4.05 d\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.05 a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e12.14 cd\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e872.28 d\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eN280\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e2.08 b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.55 bc\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4.21 b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4.24 c\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.01 c\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e12.75 c\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1026.53 c\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" rowspan=\"3\"\u003e\n \u003cp\u003eYH-20410\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eN0\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e1.84 cd\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.47 c\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e3.94 c\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4.09 d\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.04 a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e12.28 cd\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e888.26 d\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eN210\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e2.06 b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.6 b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4.23 b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4.32 b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.02 b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e13.41 b\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1084.83 b\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003eN280\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e2.27 a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.74 a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4.47 a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e4.47 a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1.00 c\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e14.52 a\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e1295.92 a\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"10\"\u003e\n \u003cp\u003eAnalysis of variance ANOVA\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eNitrogen\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eVariety\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003e**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e**\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e**\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003eNitrogen \u0026times;Variety\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ens\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\" colspan=\"2\"\u003e\n \u003cp\u003ens\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ens\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e*\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003ens\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd align=\"left\"\u003e\n \u003cp\u003e*\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n \u003c/table\u003e\n \u003c/div\u003e\n\u003c/div\u003e"},{"header":"4 Discussion","content":"\u003cdiv id=\"Sec14\" class=\"Section2\"\u003e \u003ch2\u003e4.1 Effects of nitrogen reduction on yield, and quality of winter wheat\u003c/h2\u003e \u003cp\u003eThe results showed that the variety YH-20410 with 12.5% nitrogen reduction increased the amount of nitrogen accumulation in various organs at the maturity stage, the amount of nitrogen transportation before flowering and the contribution rate of nitrogen to the grain, and the difference was not significant with the conventional nitrogen application. This may be due to the increase in total water consumption during the growth period after wide sowing, which promoted the uptake and utilization of nutrients in aboveground plants, and thus increased the nitrogen accumulation of plants \u003csup\u003e23\u003c/sup\u003e. The optimum nitrogen application rates vary with the increasing production, and effect of higher nitrogen fertilizer application rate proved better because fertility has improved the plant growth by promoting the absorption\u003csup\u003e24\u003c/sup\u003e.Wheat grain protein can be categorized as albumins, globulins, gliadins, and glutenins according to their solubility properties. Albumins and globulins are soluble proteins comprising various variety, and inhibitors, which have crucial structural, and metabolic functions during grain-filling\u003csup\u003e25\u003c/sup\u003e. Thus, it is very important to develop agronomic practices to balance grain quality and yield in soft wheat production. Nitrogen uptake and productivity of cereal crops could be enhanced by increasing plant density under reduced N supply, which has been confirmed in rice (\u003cem\u003eOryza sativa\u003c/em\u003e L.)\u003csup\u003e26\u003c/sup\u003e. Therefore, we hypothesized that spike number per unit area could be significantly improved by increasing N in wheat, which may partially compensate for grain yield GY loss caused by reducing N rate \u003csup\u003e27\u003c/sup\u003e. Hence, there may be interaction effect on wheat quality between N rate and verities.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec15\" class=\"Section2\"\u003e \u003ch2\u003e4.2 Effects of different nitrogen fertilizer characteristics of wheat:\u003c/h2\u003e \u003cp\u003eThe optimum nitrogen application rates varies with the increasing production, and effect of higher nitrogen fertilizer application rate proved better because fertility has improved the plant growth by promoting the absorption and transportation of fertilizer by the root system \u003csup\u003e28\u003c/sup\u003e.Wheat grain protein can be categorized as albumins, globulins, gliadins, and glutenins according to their solubility properties. Albumins and globulins are soluble proteins comprising various variety, and inhibitors, which have crucial structural, and metabolic functions during grain-filling \u003csup\u003e25\u003c/sup\u003e. Gliadins and glutenins, called gluten proteins, interact to form a viscoelastic gluten network in dough, which are essential in determining the baking quality of wheat flour products \u003csup\u003e29\u003c/sup\u003e. In China, the N application rate has been generally much higher than the recommended dose of 280 kg N ha\u003csup\u003e\u0026minus; 1\u003c/sup\u003e in soft wheat production for higher grain yield GY \u003csup\u003e30\u003c/sup\u003e.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec16\" class=\"Section2\"\u003e \u003ch2\u003e4.3 Effects of different nitrogen fertililer rste, and yield formation of wheat:\u003c/h2\u003e \u003cp\u003eShowed that increasing N application rate in the range of 280 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e could significantly increase grain yield, and when N application rate exceeded 280 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e, grain yield was not significantly increased. The results showed that compared with 0 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e and 210 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e, 280 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e significantly increased grain number per spike by 6.8%-11.2%, 1000-grain weight by 6.8%-10.3% and yield by 10.3%-23.4%. And there was no significant difference with conventional nitrogen application \u003csup\u003e31\u003c/sup\u003e. The range of 280 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e, wheat gliadin, glutenin and grain protein content increased with the increase of nitrogen application rate, and the protein content exceeded 12.5%, and starch peak viscosity and final viscosity also increased with the increase of nitrogen application rate. The protein content, peak viscosity and final viscosity of starch were not significantly different from those of 280 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e when the N rate was increased to 280 kg ha\u003csup\u003e\u0026minus;1 26\u003c/sup\u003e showed that the starch content, wet gluten content, sedimentation value, water absorption rate, dough formation time and stabilization time increased when the nitrogen application rate increased in the range of 280 kg ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e, and all quality parameters decreased when the nitrogen application rate continued to increase. The results showed that when nitrogen was reduced by 12.5%, the contents of amylose, amylopectin and total starch were increased, and the settling value, water absorption rate, dough formation and stabilization time, starch thinning value, peak time, and gelatinization temperature were increased. It indicated that the appropriate nitrogen application rate was beneficial to increase grain yield and improve grain quality.\u003c/p\u003e \u003cp\u003eThe pioneering one about increasing profitability through the site-specific management of wheat fertilization\u003csup\u003e32\u003c/sup\u003e. These results were obtained despite differences between N treatments were always significant \u003csup\u003e33\u003c/sup\u003e found that a large reduction in N inputs (up to 48.6 %) was due to in-season system to evaluate the crop and optimize N rates compared with the practices normally applied by farmers. A further reduction (up to 19.6 %) was possible through site-specific application. This method maximized spring N fertilizer use efficiency and reduced within-field grain yield variance, compared with field-specific management. Similarly, in a field trial in the UK, the application of N by using sensors saved 15 kg N ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e without a negative influence on yield, which increased the N. In addition, there were potential environmental benefits through a 52 % reduction of the residual N in the soil. The author reported a cost of sensing of N210 ha\u003csup\u003e\u0026minus;1\u003c/sup\u003e which could be offset by the N rate reduction together with a small (by only 1 %) increase of yield. On this matter \u003csup\u003e34\u003c/sup\u003e. Results showed that supplying fertilizer N only when a crop response is expected may improve use efficiency and profitability \u003csup\u003e35\u003c/sup\u003e. From all the above, it can be summarized that field studies in which sensor-based N management systems were compared with common farmer practices have indicated significant increases in the N.\u003c/p\u003e \u003c/div\u003e"},{"header":"5 Conclusion","content":"\u003cp\u003eIn conclusion, the soil water storage at the wintering stage was significantly highest at N280 KG HA\u0026ndash;1, variety YH-20410, was beneficial to increase the dry matter accumulation of each organ at maturity stage, and the dry matter accumulation of leaf, stem + leaf sheath. Variety YH-20410, was beneficial to improve the N harvest index and N productivity of wheat. Increase of spike number, grain number per spike and 1000-grain weight, thus achieving high yield, and the grain number per spike, 1000-grain weight and yield were significantly higher when the nitrogen was reduced by 12.5% based N rate. \u0026nbsp;N280 KG HA\u003csup\u003e\u0026ndash;1\u003c/sup\u003e significantly increased grain clearance, alcohol solution, gluten content, grain protein content and protein yield under variety YH-20410 conditions.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003cp\u003eAS, anthesis stages; F, Flowering; J, jointing; M, maturity; GN, grain number; TGW, thousand grain weight; GY, grain yield; NAE, nitrogen agronomic efficiency; NUE, nitrogen use efficiency GPC, grain protein content GN, grain number; TGW, thousand grain weight; GY, grain yield; NAE, nitrogen agronomic efficiency; GPC, grain protein content; WGC, wet gluten content; W \u0026ndash; wintering;\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAuthors\u0026rsquo; Contributions\u0026nbsp;\u003c/strong\u003eHafeez Noor: methodology, formal analysis, investigation, writing-Original draft preparation. Hafeez Noor: writing- original draft preparation. Min Sun: conceptualization.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAixia Ren :investigation. Wen Lin: investigation. Zhiqiang Gao: project administration. Min Sun: supervision, writing\u0026mdash; reviewing and editing.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u0026nbsp;\u003c/strong\u003eThe authors are thankful to \u0026lsquo;Modern Agriculture Industry Technology System Construction\u0026rsquo; (No. CARS-3124), The National Key Research and Development Program of China (No. 2018YFD020040105), The Sanjin Scholar Support Special Funds Projects, National Natural Science Foundation of China (No. 31771727), The \u0026lsquo;1331\u0026rsquo; Engineering Key Innovation Cultivation Team Organic Dry Cultivation and Cultivation Physiology Innovation Team (No. SXYBKY201733) for financial support of this study.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData Availability (Data Transparency) Data could be available on\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003edemand.\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics Approval\u0026nbsp;\u003c/strong\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent to Participate\u0026nbsp;\u003c/strong\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for Publication\u0026nbsp;\u003c/strong\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConflict of Interest\u0026nbsp;\u003c/strong\u003eAuthors have no conflict of interest.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n \u003cli\u003eBrenchley, R., Spannagl, M., Pfeifer, M., Barker, G.L., D\u0026rsquo;Amore, R., Kramer, M., Kerhornou, A., Bolser, D Analysis of the bread wheat genome using whole genome shotgun sequencing. 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Aust J Plant Physiol, 1976, 3: 721-730.(2006)\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Agronomic characters, Nitrogen fertilizer, Soil water storage, Variety, Yield ","lastPublishedDoi":"10.21203/rs.3.rs-963205/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-963205/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis study greenhouse experiment aimed to evaluate the biochemical impact of nitrogen (N) fertilization on different wheat cultivars. The experiment included two varieties (YH-618 and YH-20410) and three nitrogen levels, (N0, N210, and N280 Kg ha\u003csup\u003e–1\u003c/sup\u003e. Our results indicated that wheat variety YH-20410 had the higher nitrogen uptake and efficiency, grain protein content, and yield at higher planting densities and will benefit farmers by forming stronger overall crops. For variety YH-20410, the soil water storage at the wintering stage was significantly highest at N280 kg ha\u003csup\u003e–1\u003c/sup\u003e, In conclusion, variety YH-20410, wheat higher dry matter accumulation of each organ at maturity stage, and the dry matter accumulation of leaf, stem + leaf sheath. Compared to N0 and N180 Kg\u003csub\u003e \u003c/sub\u003eha\u003csup\u003e–1\u003c/sup\u003e, N210 k\u003csub\u003eg \u003c/sub\u003eha\u003csup\u003e–1 \u003c/sup\u003esignificantly increased the N harvest index by 5.0% to 19.4% and N use efficiency by 2.9% to 9.1%, but there was no significant difference in N uptake efficiency. In conclusion, variety YH-20410 was beneficial to improve the harvest index and N productivity of wheat. Variety YH-20410, has also the greater number of spike number, grains per spike and 1000-grain weight, leading to high grain yield. Among nitrogen treatments, N280 Kg ha\u003csup\u003e–1\u003c/sup\u003e significantly increased the grain number per spike, 1000-grain weight and yield. Significantly increased grain gluten content, grain protein content and protein yield under of YH-20410 variety. In conclusion, reduced N fertilizer 280 kg ha\u003csup\u003e–1\u003c/sup\u003e and variety YH-20410 was beneficial to the improved the leaf area index, plant height, soil water storage, dry matter accumulation, and grain yield.\u003c/p\u003e","manuscriptTitle":"Adoption of Efficient Varieties, And Nitrogen Management For Improving Agronomic Attributes, And Yield of Winter Wheat","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2021-11-16 20:55:26","doi":"10.21203/rs.3.rs-963205/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"36790de1-6e27-4782-9ef7-b77c15b5b9f5","owner":[],"postedDate":"November 16th, 2021","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":8558932,"name":"Environmental Engineering"},{"id":8558933,"name":"Agronomy"}],"tags":[],"updatedAt":"2022-03-28T07:44:22+00:00","versionOfRecord":[],"versionCreatedAt":"2021-11-16 20:55:26","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-963205","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-963205","identity":"rs-963205","version":["v1"]},"buildId":"wLkW0s4AflPzk-lpfg-fK","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}