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  • Xinrui LI, Weijun YANG, Xiaohua YE, Ruxue LI, Zi WANG, Liyue ZHANG, Ningju XI, Shufang ZHANG, Lining ZHAO
    Journal of Triticeae Crops. 2026, 46(4): 500-510.

    To investigate the effects of biochar application duration on the growth and yield of spring wheat, a randomized block design experiment was conducted using the cultivar Xinchun 37 as material. Two nitrogen treatments (no nitrogen and 255 kg·hm-2) and three biochar treatments(no biochar, one-year biochar application, and five-years biochar application, with an application rate of 20 t·hm-2) were set up. Differences in photosynthetic parameters, relative chlorophyll content, dry matter accumulation and translocation, grain filling dynamics, yield, and yield components of spring wheat under different treatments were analyzed. The results showed that compared with no biochar application, both sole biochar application and biochar combined with nitrogen fertilizer significantly increased the net photosynthetic rate of spring wheat after 1- and 5-year biochar application, promoted the accumulation of dry matter in stems, leaves, and spikes at all growth stages, and enhanced the allocation of dry matter to grains at maturity, thereby increasing grain yield. Overall, the effects of 5-year biochar application were better than those of 1-year. Specifically, the yield under the treatment of 5-year biochar combined with nitrogen fertilizer reached 7 508.91 kg·hm-2, which was 37.56% higher compared to the treatment without nitrogen fertilizer or biochar. Orthogonal partial least squares-discriminant analysis revealed significant differences in net photosynthetic rate, effective panicle number, and yield of spring wheat under different biochar application durations, whether applied alone or combined with nitrogen. In conclusion, biochar application can effectively promote the growth and yield of spring wheat, and the longer the application duration, the more pronounced the promoting effect.

  • Luqian WANG, Gaili SONG, Yumei JIANG, Feng ZHANG, Jiangwei TANG, Chunhao DONG, Yuhao YUAN, Zhenpu HUANG, Guihong YIN, Qiaoyun LI
    Journal of Triticeae Crops. 2026, 46(4): 425-432.

    Black point disease (BP) severely affects wheat production, and planting disease-resistant varieties is an important measure to mitigate the damage caused by BP. However, the current lack of resistance sources restricts the improvement of BP resistance. To obtain superior resistance sources for BP, this study inoculated 412 wheat germplasm with the dominant pathogen of BP in the Huanghuai wheat region, Bipolaris sorokiniana, and conducted molecular testing using 16 reported BP resistance-related markers. The results showed that among the 412 tested materials, there were no immune or highly resistant germplasm; 4 showed moderate resistance (1.0%), while 95 (23.1%), 209 (50.7%), and 104 (25.2%) exhibited mild susceptibility, moderate susceptibility, and high susceptibility, respectively. Of the 16 markers, 13 showed polymorphism among different materials, with only 3 tightly linked to BP resistance: wmc170, BP-4A-d20, and Xbarc10. These correspond to the resistance loci QBP-Usq.2A, QBB.hau-4A, and QBB.hau-5A, respectively, with QBB.hau-4A exhibiting a better disease resistance effect. Its presence alone or in combination with other loci can significantly reduce the black point rate in wheat (P<0.01). The 4 moderately resistant materials (Shannong 530070, ZC223, 05CV078, and Shannong 38) can serve as resistance sources for improving BP resistance in wheat, and BP-4A-d20 marker can be used for BP resistance breeding.

  • Xuehui TIAN, Deping SONG, Yufan ZHANG, Xiaoqing YU, Feifei WAN, Huihong CHANG, Wenfeng HAN, Yuli SHAO, Xiucheng BA, Xiaomeng WANG, Zongting JIN, Lusheng ZHANG
    Journal of Triticeae Crops. 2026, 46(4): 559-566.

    To compare the deposition patterns of spray droplets on different parts of wheat plants and their impact on the field control efficacy against wheat powdery mildew during daytime and nighttime operations of agricultural drones, a 20% tebuconazole·fluopyram SC was used as the test agent to conduct daytime and nighttime drone spraying trials. Parameters such as droplet deposition amount, droplet density, and coverage in the wheat canopy, as well as the control efficacy against wheat powdery mildew 7 and 14 days after treatment, were analyzed. The results showed that under the same spray volume and droplet size, daytime operations resulted in higher droplet deposition and coverage compared to nighttime, while droplet density was higher at night than during the day, averaging 2.27% higher. Analysis of deposition effects across different canopy layers revealed that droplet density, coverage, and deposition amount decreased sequentially in the flag leaf, penultimate leaf, third leaf from the top, and fourth leaf from the top, with all parameters being higher on the leaf surface than the underside. A 600 mL·hm-2 application rate of 20% tebuconazole·fluopyram SC demonstrated good efficacy against wheat powdery mildew, with nighttime operations yielding better results than daytime. When the spray volume was 45 L·hm-2 and droplet size was 50 μm, the efficacy reached its peak, with 57.73% control efficacy from daytime spraying and 72.10% from nighttime spraying 14 days after treatment. These findings provide references for the rational setting of agricultural drone operation parameters and scientific basis for effective control of wheat powdery mildew.

  • Yang LIU, Tingting ZHANG, Fan XUE, Yan CAO
    Journal of Triticeae Crops. 2026, 46(4): 454-463.

    Doubled haploid (DH) technology is a biotechnology that rapidly obtains homozygous plants through haploid induction and chromosome doubling, genetic stability in one generation and significantly shortening the breeding cycle. It is widely used in the genetic breeding of various crops such as wheat, corn, and rapeseed, especially a key role in the construction of genetic populations, QTL mapping, and variety improvement. This paper will briefly introduce the method of producing wheat haploid, review the latest progress of DH breeding technology in the field of wheat research, and introduce the application examples of DH technology in accelerating breeding, genetic map construction, nuclear sterility, and microspore genetic transformation, in order to promote the development of DH technology in wheat breeding and further improve the efficiency of wheat breeding.

  • Xiangqian ZHANG, Yunqiu SHANG, Zhu ZHAO, Yonggang DING, Wei LI, Huan CHEN, Shizhou DU, Yuqiang QIAO, Chengfu CAO, Yong WANG
    Journal of Triticeae Crops. 2026, 46(4): 473-481.

    In order to understand the effects of different types of fertilizers on the photosynthetic characteristics and yield of wheat at the jointing stage, the effects of three different types of fertilizers: F1 (ternary compound fertilizer, N∶P2O5∶K2O=15∶15∶15), F2 (wheat compound fertilizer, N∶P2O5∶K2O=26∶10∶9), F3 (urea) and no topdressing (CK) on wheat photosynthetic indices, dry matter accumulation and yield were studied under the same type and amount of base fertilizer application at the jointing stage. The results showed that the application of F3 at the jointing stage increased the leaf area index at the middle and early stages of wheat growth compared with F2, and the F2 treatment was conducive to maintaining the higher leaf area index at the filling stage. The chlorophyll content of F2treatment was significantly higher than that of F1 treatment (P<0.05) at the flowering stage and filling stage, and there was no significant difference when compared with F3 treatment. The photosynthetic rate of F2 was the highest. compared to F3, F2significantly increased canopy photosynthetically active radiation at flowering and middle of filling stages by 4.74%, 4.18% and 5.83%, 5.09%, respectively in Suixi and Yingshang experimental sites. F1 can increase the photosynthetic rate compared with F3, but reduce the photosynthetically available radiation in the canopy. The grain filling rate ranked as F2>F1>F3>CK, and the grain filling rate of CK was significantly lower than that of the treatments. The dry matter accumulation of the F3 group was higher than that of the F2 treatment at the booting and flowering stages, while the dry matter accumulation of the F2 group was higher than that of the F3 treatment at the maturity stage. The yield of topdressing treatments ranked as F2>F1>F3, with significant differences. Compared to F1, F2 increased yield by 7.26% and 8.13%, respectively in Suixi and Yingshang experimental sites. All the findings demonstrated that although topdressing with the same weight of urea increased the leaf area index, chlorophyll content and population dry matter accumulation of wheat at early growth stage, topdressing with specialized compound fertilizer had more advantages in improving photosynthetic indices, grain filling rate and population dry matter accumulation at the middle and later growth stages of wheat. Topdressing with specialized compound fertilizer increased yield when compared to ternary compound fertilizer and urea.

  • Lei GUO, Yifei CHEN, Shuai YAN, Xiukun LIU, Danping LI, Wenjia ZHANG, Yulong SONG, Xiaoyan DUAN, Canguo WANG, Jianjun LIU, Haosheng LI, Xin GAO, Xinyou CAO
    Journal of Triticeae Crops. 2026, 46(4): 464-472.

    In order to explore the feasibility of applying the gluten-starch interaction to breed super-gluten wheat variety, 20 F7recombinant inbred lines (RILs) derived from a cross between Jimai 44 and Jimai 229 and their parents were used as materials, and the farinograph properties of dough were measured. Three RILs with the longer stability time (Group H) and 3 RILs with the shorter stability time (Group L) were selected for further invistigating the gluten protein quantity and quality, starch size distribution and gluten-starch interaction. The results showed that the Group H exhibited higher dough development time and stability time than those of their parents, which can be attributed to their tighter gluten network, higher B-type starch granule proportion and stronger gluten-starch interaction. Correlation analysis showed that dough development time and stability time had significantly positive correlation with gluten index, protein junctions, protein length, B-type starch granule proportion, the ratio of B-type starch granules to A-type starch granules (B/A), B/lacunarity, and B/A/lacunarity, yet significantly negative correlation with lacunarity, A-type starch proportion and A/lacunarity. In summary, compared with Jimai 44 and Jimai 229, the gluten network structure, B-type starch granule proportion, and gluten-starch interaction of Group H were significantly improved. Parameters related to gluten-starch interaction determined using micro-scale flour samples can be used to assess the dough quality at an early generation in wheat breeding.

  • Quanhao SONG, Yan JIN, Jiajing SONG, Hongzhen MA, Lishang ZHAO, Liang CHEN, Baoyuan ZHOU, Tongquan ZHU
    Journal of Triticeae Crops. 2026, 46(4): 443-453.

    To clarify the composition of glutenin subunits in wheat varieties developed in the Huang-Huai wheat region and their relationship with quality traits, this study used 92 new wheat varieties (lines) as materials to systematically analyze the distribution and combinations of high-molecular-weight glutenin subunits (HMW-GS) and low-molecular-weight glutenin subunits (LMW-GS), as well as their relationships with some quality indicators. The results showed that among the 92 varieties (lines), a total of 9 types of HMW-GS subunits and 15 subunit combinations were detected. The combination with the highest occurrence frequency was 1/7+9/2+12, accounting for 19.57%, while the occurrence frequency of the high-quality subunit combination 1/7+8/5+10 was 8.70%. For LMW-GS, 9 types genes of subunits and 40 combination types were identified. Among them, 72 materials belonged to moderately complex combinations consisting of 2 to 4 subunits genes, and the combination A3d+D3-21 had the highest occurrence frequency (16.30%). Correlation analysis indicated that Glu-B3d was significantly positively correlated with protein content, sedimentation value, and wet gluten content. Cluster analysis classified the materials into three groups, and Group Ⅱ exhibited superior overall quality. The occurrence frequencies of multiple high-quality subunits in Group Ⅱ were higher than those in Group Ⅰ and Group Ⅲ, including 14+15 at the Glu-B1 locus and 5+10 at the Glu-D1 locus of HMW-GS, as well as Glu-A3a (8.33%), A3a/c (54.17%), B3d (37.50%), D3-23 (54.17%), and D3-32 (66.67%) of LMW-GS. In addition, 2+10 at the Glu-D1 locus and D3-22, D3-31 at the Glu-D3 locus were only detected in Group Ⅱ. These results had important reference for wheat quality breeding and genetic improvement in the Huang-Huai wheat region.

  • Qiongzhi REN, Yujuan LI, Xi GE, Jialu WEN, Wanchun ZHANG, Yang LIU
    Journal of Triticeae Crops. 2026, 46(4): 493-499.

    To investigate the effects of spermidine on the starch composition and gelatinization characteristics of wheat grains, using the wheat varieties Xinong 538 and Lankaoaizao 8 as experimental materials, four spermidine spray concentrations (0.25, 0.75 and 1 mmol·L-1) were set up at grain-filling stage. The indicators of starch composition, granule size distribution, and gelatinization characteristics of wheat grains were determined and analyzed. The results showed that compared with spraying clear water CK, spraying 0.25 and 0.75 mmol·L-1 spermidine significantly increased the 1 000-grain weight and yield of the two varieties. After the application of spermidine, the amylose content of Xinong 538 and Lankaoaizao 8 decreased and increased, respectively. The amylopectin ratio showed a decreasing trend and a downward increase followed by a decrease with the increase of the application concentration. Overall, spermidine spraying reduced the quantity and volume of A type starch granules in both varieties and increased the quantity and volume of B type starch granules. High concentration (1 mmol·L-1) of spermidine reduced, increased and decreased the peak viscosity, final viscosity, and breakdown of Xinong 538 and Lankaoaizao 8, respectively. 0.75 mmol·L-1 spermidine increased the peak viscosity, trough viscosity, breakdown, final viscosity, and setback of Lankaoaizao 8, while increased the breakdown, setback, peak time, and pasting temperature of Xinong 538. Overall, under the conditions of this experiment, the application of 0.75 mmol·L-1 arginine spray significantly increased the 1 000-grain weight and yield of wheat, and by influencing the amylose content, amylose/amylopectin ratio and type B starch particle composition of wheat, increased the peak viscosity and breakdown of wheat grain starch, thereby enhancing the gelatinization characteristics of wheat and ultimately improving the quality of wheat starch. It is a relatively suitable spraying concentration in wheat production.

  • Zhihui ZHANG, ·Dengsilamu TUERBAIXUN, Hui YANG, Hui ZOU, Qiannan HUANG, Long MA, Feifei ZHANG, Lin MA, Xuehui ZHANG, Na SUN, ·Abula WENQIEMU
    Journal of Triticeae Crops. 2026, 46(4): 482-492.

    To investigate the effects of different water and nitrogen treatments on photosynthetic characteristics, yield and water-nitrogen use efficiency of drip-irrigated winter wheat during the grain-filling stage, a field experiment was conducted using the cultivar Yinong 22. Three drip irrigation levels 5 250 (W1), 6 000 (W2) and 6 750 (W3) m3·hm-2and three nitrogen application rates 0 (N0), 240 (N1) and 300 (N2) kg·hm-2were established to analyze the impacts of water-nitrogen combinations on chlorophyll relative content (SPAD), photosynthetic parameters, leaf area index (LAI), dry matter accumulation, yield and water-nitrogen use efficiency, and the response of each factor to yield was revealed by path analysis. The results showed that irrigation amount and nitrogen application rate significantly affected SPAD, LAI, photosynthetic parameters (Ci, Gs, Pn and Tr) and dry matter accumulation per plant (leaf sheath, grain and stems) from anthesis to 20 days after anthesis. Under W2N1 treatment, the above indices did not increase significantly with the increase of water and nitrogen supply. Analysis of yield and water-nitrogen use efficiencies revealed that yields under W2N1, W2N2, W3N1 and W3N2 treatments were significantly higher than those under W1N0, W1N1, W1N2, W2N0and W3N0treatments. The highest yield was achieved under W2N2 treatment (8 395.88 kg·hm-2), followed by that under W2N1treatment (8 208.37 kg·hm-2). Irrigation water use efficiency under W2N1 treatment reached 1.37 kg·m-3, significantly surpassing that of the W3N1 (1.22 kg·m-3) and W3N2 (1.23 kg·m-3) treatments. Precipitation use efficiency was highest under W2N2 treatment (33.66 kg·mm-1·hm-2), showing no significant difference from the W2N1 treatment. Both partial factor productivity of nitrogen (34.20 kg·kg-1) and agronomic nitrogen use efficiency (6.08 kg·kg-1) were highest under W2N1 treatment. Path analysis showed that photosynthetic characteristics, dry matter accumulation and agronomic traits direct regulated wheat yield, and the direct effect values were 0.889, 0.334 and 0.137, respectively. Water and nitrogen input mainly affected wheat yield through indirect pathway, and the indirect effect value was 1.27. In summary, photosynthetic characteristics are important factors affecting wheat yield, and water and nitrogen inputs affect yield mainly through the indirect drive of photosynthetic characteristics. Under the condition of drip irrigation in the Ili River Valley, taking yield and water and nitrogen use efficiency into consideration, the recommended drip irrigation amount is 6 000 m3·hm-2, and the nitrogen application rate is 240 kg·hm-2 (W2N1) is the optimal combination.

  • Dongze YAO, Shuaipeng FEI, Lei LI, Yidan JIA, Duoxia WANG, Tonghe HAN, Bohan ZHANG, Mengjiao YANG, Yonggui XIAO
    Journal of Triticeae Crops. 2026, 46(4): 531-540.

    Addressing the challenges of inadequate utilization of spectral feature variations among wheat cultivars and the limited generalization capacity of conventional ensemble learning methods for yield prediction, this study proposed a novel Extreme Stacked Generalization (ESG) algorithm. The ESG method was designed to enhance prediction accuracy and stability across multiple cultivars and years by dynamically optimizing feature selection and model integration, thereby resolving micrometer-level spectral discrepancies among cultivars. The study utilized canopy hyperspectral reflectance and yield data collected over two wheat growing seasons (2018—2020), containing the early and middle grain-filling stages. A dual-validation framework was employed, comprising independent cross-year validation (Framework 1) and multi-period data fusion validation (Framework 2). The performance of the ESG algorithm was benchmarked against Ridge Regression (RR), K-Nearest Neighbors (KNN), Random Forest (RF), and a standard Stacked Generalization (SG) algorithm, using Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE) as evaluation metrics. Results demonstrated that the ESG algorithm significantly outperformed all other models, reducing the prediction RMSE to a range of 1.01-1.31 t·hm-2. The stability of cross-year predictions was notably improved, with the range of error fluctuation decreasing by 18.9%, indicating strong environmental adaptability and cultivar-discriminating capabilities. Furthermore, the middle grain-filling stage was identified as the optimal prediction window, achieving a RMSE of 1.01 t·hm-2. This study concludes that the ESG algorithm can effectively adapt to the specific spectral characteristics of different wheat cultivars and environmental variations, enabling robust and stable yield prediction across diverse cultivars and growing years.