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Table of Content

    12 July 2026, Volume 52 Issue 7
    • REVIEW
      Construction and systematic regulation of high-efficiency population for concentrated maturity of machine-harvested cotton in Xinjiang, China
      Dong He-Zhong, Zhan Li-Jie, Zhang Yan-Jun, Wan Su-Mei
      Acta Agronomica Sinica. 2026, 52(7):  1915-1928.  doi:10.3724/SP.J.1006.2026.64019
      Abstract ( 213 )   HTML ( 11 )   PDF (4828KB) ( 184 )   Save
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      The production of machine-harvested cotton in Xinjiang is transitioning from a yield-oriented approach toward a multi-objective model that synergistically enhances yield, fiber quality, machine-harvest efficiency, and resource-use efficiency. Under this transformation, the core industrial challenge has shifted from whether high yield can be achieved to whether synchronized maturity, qualified defoliation, and efficient resource utilization can be realized under compound abiotic stresses such as salinity combined with low temperature and/or drought. However, current cultivation techniques still face challenges such as insufficient coordination among practices, incomplete mechanistic understanding, and poor transferability of key parameters, which constrain the high-quality development of the industry. This paper systematically reviews and further proposes a framework for constructing high-efficiency populations and implementing systematic regulation, centered on the main pathway of “stress-resilient seedling establishment—population optimization—concentrated maturity—mechanical harvesting”. This review focuses on recent advances in single-seed precision sowing and vigorous seedling establishment, canopy structure regulation, carbon and nitrogen metabolism and assimilate partitioning, as well as the synergistic regulation of water, fertilizer, and plant growth regulators. It further emphasizes that seedling emergence is not an isolated preliminary stage independent of concentrated maturity, but rather a “front-end locking” process that determines population uniformity and subsequent boll-opening synchrony. In addition, a high-efficiency population is defined not simply as a high-yielding population, but as a population type constrained by terminal machine-harvest indicators while simultaneously balancing rational structure, coordinated processes, and efficient resource use. On this basis, the major problems currently existing in the cultivation of concentrated maturity for machine-harvested cotton in Xinjiang are summarized, and future research priorities are identified, including seedling establishment mechanisms under compound stresses, the coupling mechanisms among population structure, photosynthetic production, and maturity progression, and the dynamic optimization of operational parameters for the synergistic regulation of water, fertilizer, and plant growth regulators. The review is expected to provide a theoretical basis for promoting the transition of machine-harvested cotton cultivation in Xinjiang from experience-based management to mechanism-driven precision regulation, and to offer references for improving regionalized, simplified, green, and high-efficiency cultivation systems.

      Research progress on the effects and mechanisms of boron in mitigating salt stress in crops
      Jiang Cun-Cang, Dou Jia-Yi, Lu Ke-Song, Xiao Si-Yun, Liu Bing, Bi Jia-Yu
      Acta Agronomica Sinica. 2026, 52(7):  1929-1942.  doi:10.3724/SP.J.1006.2026.64022
      Abstract ( 202 )   HTML ( 11 )   PDF (6087KB) ( 182 )   Save
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      The problem of salinization has become a key abiotic stress factor restricting global food security and the sustainable development of agricultural ecosystems. Salt stress severely hinders the growth and development of crops and their yield by inducing multiple adverse effects such as osmotic stress, ion toxicity, oxidative damage, and nutritional imbalance. Boron, as an essential micronutrient for plants, plays an irreplaceable role in maintaining the integrity of cell wall structure, regulating transmembrane ion transport, mediating antioxidant defense responses, and participating in endogenous hormone signal transduction. Recent studies have shown that the appropriate addition of exogenous boron can significantly alleviate the toxic effects of salt stress on crops, with the mechanism involving a complex network from the construction of cell wall barriers to the regulation of gene expression. This article systematically reviews the damage mechanism of salt stress on crops and the physiological characteristics and molecular regulatory mechanisms of boron in alleviating salt damage. It further summarizes the research progress of new boron fertilizers such as nano-boron and organic chelated boron in improving the bioavailability of boron, breaking through the limitations of internal transport, and enhancing salt tolerance. However, there are still several deficiencies in current research, including the lack of systematic integration of response differences among different crops and genotypes, insufficient long-term field positioning experiments and application parameter standards, and relatively weak ecological safety evaluation of new boron fertilizers. In the future, efforts should be focused on strengthening the analysis of boron signal molecule mechanisms, the mining of key genes for salt tolerance and high boron efficiency, the optimization of application techniques, and the ecological risk assessment of new boron fertilizers, in order to provide theoretical basis and technical support for efficient nutrient management and stress-resistant and stable yield cultivation of crops in saline-alkali land.

      CROP GENETICS & BREEDING·GERMPLASM RESOURCES·MOLECULAR GENETICS
      Genome-wide association study of lodging resistance-related traits in wheat
      Zhao Hui, Huang Yi-Wen, Mai Chun-Yan, Jing Peng-Fei, Sun Hai-Yan, Wu Pei-Pei, Yu Li-Qiang, Li Hui-Li, Zhou Yang, Guo Xian-Rui, Zhang Hong-Jun
      Acta Agronomica Sinica. 2026, 52(7):  1943-1953.  doi:10.3724/SP.J.1006.2026.61003
      Abstract ( 168 )   HTML ( 9 )   PDF (1055KB) ( 104 )   Save
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      Lodging is a major constraint to achieving high and stable yield in wheat. Therefore, identifying genetic loci associated with lodging resistance and developing molecular markers are essential for elucidating its genetic basis and accelerating molecular breeding. In this study, six lodging resistance-related traits were evaluated in a panel of 251 modern wheat varieties/lines across five environments. A genome-wide association study (GWAS) was conducted by integrating the phenotypic data with the wheat 55K SNP array. This analysis identified 153 loci that were significantly associated with lodging resistance-related traits in at least two environments, including the best linear unbiased estimate dataset. These loci included 60, 40, 21, 8, 7, and 17 associations for plant height, height of center of gravity, length of the second basal internode, fresh weight, stem strength, and lodging index, respectively. The phenotypic variation explained by individual loci ranged from 4.4% to 16.1%. Gene functional annotation and expression profiling of four novel and stable SNPs, AX-110583484, AX-111457323, AX-109475166, and AX-111550082, associated with plant height and stem strength predicted ten potential candidate genes. Subsequently, six kompetitive allele-specific PCR (KASP) markers were developed and validated in the association population. Further validation of the marker for the stem strength-associated SNP AX-109475166 in a biparental population confirmed that the AA genotype conferred a 0.48 N increase in stem strength compared with the GG genotype. Finally, integrated analysis of gene expression data highlighted TraesCS1D01G237500, which encodes an endo-1,3-β-D-glucanase, as a key candidate gene underlying this locus.

      Screening and evaluation of genome-wide core SNPs in cotton (Gossypium hirsutum)
      Zhu Guo-Zhong, Zhu Cheng-Bin, Ji Chen-Hui, Tan Yong-Lin, Cheng Zheng, Zhang Da-Yong, Shang Xiao-Guang, Guo Wang-Zhen
      Acta Agronomica Sinica. 2026, 52(7):  1954-1965.  doi:10.3724/SP.J.1006.2026.54149
      Abstract ( 128 )   HTML ( 5 )   PDF (1253KB) ( 58 )   Save
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      Breeding cotton varieties with the simultaneous improvement of multiple traits, including high yield, superior fiber quality, and resistance to biotic and abiotic stresses, is a primary objective of cotton breeding. Improving breeding efficiency relies heavily on the precise identification and effective utilization of genetic variation at the genomic level. In this study, based on 2.41 million raw SNPs identified from resequencing data with > 10× genome coverage from a natural population of upland cotton consisting of 335 accessions, 147,307 linkage disequilibrium (LD) blocks were detected. A stepwise screening strategy was then employed to obtain 58,207 core SNP loci, reducing the raw SNP dataset by 97.59%. The core SNP set was evenly distributed across both the At (38.48 kb SNP-1) and Dt (38.59 kb SNP-1) subgenomes and showed clear improvements in minor allele frequency (MAF) and polymorphism information content (PIC) compared with the raw SNP set. Specifically, the proportion of SNPs increased by 13.74% in the high-MAF interval (0.2-0.5) and by 14.23% in the high-PIC interval (≥ 0.2). Among the core SNPs, 8173 loci (14%) were located in genes or regulatory regions. Evaluation of representativeness showed a high correlation (r = 0.85) between the genetic distance matrices constructed from the core SNP set and the raw SNP set. By anchoring 20,009 previously reported SNP loci associated with breeding traits from 37 references to the corresponding chromosomes, it was found that 98.3% of these loci (19,666/20,009) were co-localized with 6258 SNPs in the core set through direct SNP anchoring or LD block anchoring. The core SNP set established for upland cotton cultivars therefore showed strong representativeness of both genetic background and agronomically important loci. With the aid of SNP chip technology, application of this SNP set can substantially reduce the cost of genotyping and the complexity of data analysis. This study provides a valuable genetic resource and informative loci for population genetic analysis, genome-wide association studies (GWAS), and marker-assisted selection (MAS) in upland cotton, and also offers a useful reference for the efficient screening and utilization of high-density SNPs in other crops.

      Creation of potato haploid germplasm resources
      Cui Qing-Han, Li Jin-Ye, Dong Ya-Rui, Sun Chun-Yan, Jia Yu-Xin
      Acta Agronomica Sinica. 2026, 52(7):  1966-1974.  doi:10.3724/SP.J.1006.2026.64014
      Abstract ( 134 )   HTML ( 1 )   PDF (5520KB) ( 48 )   Save
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      The development of highly homozygous germplasm resources is pivotal for diploid potato hybrid breeding. However, conventional multi-generation inbreeding is constrained by long breeding cycles, inbreeding depression, and self-incompatibility. To overcome these bottlenecks, this study rapidly generated multiple potato haploids using haploid induction and identification techniques, thereby providing novel germplasm resources for diploid hybrid breeding. Using elite F1 hybrids (LV-11 and LV-9) as female parents, parthenogenesis was induced with the inducer line PL-4. From 30,250 hybrid seeds, 91 seeds lacking an embryo spot were obtained, of which 61 germinated successfully. Flow cytometry and root tip chromosome squash analysis identified 12 haploid plants (n = 12), five of which showed normal growth. Morphological observations revealed marked differences between the haploids and their parental lines, mainly characterized by dwarf stature and a compact plant architecture. Furthermore, molecular marker analysis confirmed that all five haploid plants carried the S locus inhibitor (Sli) gene conferring potato self-compatibility. This finding indicates that, after genome doubling, these haploids can overcome self-incompatibility barriers and be widely used in population development, gene discovery, and hybrid breeding. The haploid materials obtained in this study not only provide a genetic basis for mining genes regulating important agronomic traits, but also represent valuable self-compatible germplasm resources for diploid potato hybrid breeding.

      Establishment of a high-efficiency prime editing system PE6c&e in maize
      Chen Feng, Chai Yi-Ping, Zheng Deng-Yu, She Meng, Zou Hua-Wen, Wu Zhong-Yi
      Acta Agronomica Sinica. 2026, 52(7):  1975-1984.  doi:10.3724/SP.J.1006.2026.53098
      Abstract ( 167 )   HTML ( 2 )   PDF (3568KB) ( 65 )   Save
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      Prime editing holds great promise for crop breeding. As the core components of this system, reverse transcriptase (RT) and nCas9 (Cas9 nickase) play critical roles in determining prime-editing efficiency. However, reports on the synergistic optimization of RT and nCas9 in maize remain limited. In this study, we systematically compared the editing efficiencies of a novel prime-editing system in maize. First, we evaluated three prime editors (PE6a, PE6c, PE6d) carrying different reverse transcriptases in maize protoplasts. The results showed that PE6c, which contains an RT derived from the yeast (Schizosaccharomyces pombe) evo-Tf1 retrotransposon, exhibited the highest editing efficiency. We then combined evo-Tf1-RT with three nCas9 variants previously identified in mammalian cells to generate PE6c&e, PE6c&f, and PE6c&g. Protoplast assays showed that PE6c&e had the highest editing efficiency. Subsequently, analysis of T0 transgenic maize showed that, at the ZmEPSPS target site, PE6c&e produced 57.58% homozygous and heterozygous mutant lines, representing a 1.73-fold increase over PE3max (33.33%). These results demonstrate that the optimized PE system has substantially enhanced editing capacity. Furthermore, we used the optimized system to achieve precise editing at two key herbicide-resistance sites, W542L and S621I, in ZmALS, further demonstrating the versatility of this prime-editing platform. In summary, this study established PE6c&e as an efficient prime-editing system for maize, providing a powerful tool for functional genomics and precision molecular breeding in this important crop.

      QTL mapping and KASP marker development for seed oil content in soybean
      Chen Meng-Yao, Chen Qiang, Shi Xiao-Lei, Suo Wen-Ying, Zhang Meng-Chen, Yang Chun-Yan, Yan Long, Zhang Kai, Meng Qing-Min
      Acta Agronomica Sinica. 2026, 52(7):  1985-1996.  doi:10.3724/SP.J.1006.2026.55083
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      Seed oil content is one of the key economic traits in soybean and plays an irreplaceable strategic role in ensuring national grain and oil security, supporting green industrial development, and promoting the upgrading of the agricultural industry. Identifying quantitative trait loci (QTLs) associated with oil content and developing efficient SNP genotyping technologies can provide precise technical support for molecular marker-assisted breeding for soybean oil content. In this study, two advanced recombinant inbred line (RIL) populations derived from the crosses Jidou 17×Jidou 12 and Jidou 17×Zhonghuang 13 were used as experimental materials. QTLs associated with oil content were identified, candidate functional genes were predicted, and kompetitive allele-specific PCR (KASP) markers were developed based on SNP variation. A total of 13 QTLs associated with soybean oil content were detected over three consecutive years. Among them, seven QTLs were stably detected in two or more years and were distributed on chromosomes 3, 8, 13, 15, 17, and 19, with logarithm of odds (LOD) scores ranging from 3.36 to 5.68 and phenotypic variation explained (PVE) values ranging from 5.76% to 15.88%. Notably, qOIL-17, located within the interval Chr. 17: 12579301-Chr. 17: 13081633 on chromosome 17, was consistently detected across three environments in both populations. Two candidate genes related to oil content, Glyma.17G154600 and Glyma.17G155100, were predicted within this interval. A KASP marker was developed based on the G/A SNP at Chr. 17: 13096500 within Glyma.17G155100. This marker clearly classified 289 lines from the two populations into two genotypes, type A and type G, and the oil content differed significantly between the two groups. The KASP marker developed in this study can be effectively used for early-generation selection of oil content in soybean breeding populations, providing precise and efficient technical support for the targeted breeding of high-oil soybean varieties.

      QTL mapping and validation of grain-related traits in a wheat RIL population
      Jiang Yu-Fan, Yang Wan-Qing, Deng Yuan-Kai, Jiang Jun-Long, Wang Ruo-Yu, Chen Ling, Ning Qiang, Liu Yi-Ke, Zhu Zhan-Wang, He Zhong-Hu, Hao Yuan-Feng, Fang Zheng-Wu, Ding Fu-Gong
      Acta Agronomica Sinica. 2026, 52(7):  1997-2012.  doi:10.3724/SP.J.1006.2026.51087
      Abstract ( 164 )   HTML ( 8 )   PDF (6032KB) ( 78 )   Save
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      Identifying major quantitative trait loci (QTL) associated with wheat grain traits and elucidating their genetic basis are of great importance for improving wheat yield and ensuring food security. In this study, a recombinant inbred line (RIL) population comprising 194 lines derived from the cross between DH6006 and Zhou 11550 was used. A genetic linkage map was constructed using a 15K SNP array, and QTL mapping for thousand-grain weight (TGW), grain length (GL), grain width (GW), and grain length-to-width ratio (LWR) was performed across four environments over three years. A total of 16 stably expressed QTL were identified, with individual QTL explaining 4.01%-23.79% of the phenotypic variation. These included six QTL for TGW, three for GL, three for GW, and four for LWR. By integrating the distribution of these loci, four pleiotropic QTL clusters simultaneously controlling multiple grain traits were identified on chromosomes 2B, 2D, 3A, and 6B. KASP validation showed that lines carrying favorable alleles at Qgl.hbaas-2BL and Qlwr.hbaas-2BL exhibited increases of 2.26%-2.34% in grain length and 3.14%-4.45% in length-to-width ratio, respectively. Lines carrying favorable alleles at Qtgw.hbaas-3AL and Qgw.hbaas-3AL showed increases of 2.56%-5.30% in thousand-grain weight and 0.20%-1.01% in grain width, respectively, whereas favorable alleles at Qtgw.hbaas-6BS and Qgw.hbaas-6BS increased thousand-grain weight and grain width by 2.85%-5.20% and 0.95%-1.78%, respectively. In addition, the stable genetic effects of the QTL clusters located on chromosomes 2D, 3A, and 6B were consistently validated in a panel of 166 major wheat cultivars and in the Zhengmai 9023 × E’en 1 RIL population. In conclusion, four QTL clusters associated with grain traits were identified, and their stable loci were successfully converted into functional KASP markers. These findings provide valuable tools and a theoretical basis for the fine mapping of key genes controlling wheat grain traits and for marker-assisted selection in wheat breeding.

      Identification of the wheat ANK gene family and analysis of its response to Fusarium graminearum infection
      Yang Wan-Qing, Jiang Yu-Fan, Liu Yi-De, Liu Yi-Ke, Ning Qiang, Wang Shu-Ping
      Acta Agronomica Sinica. 2026, 52(7):  2013-2026.  doi:10.3724/SP.J.1006.2026.51094
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      Ankyrin repeat (ANK) proteins play essential roles in plant stress responses and immune regulation; however, their genomic characteristics and potential involvement in Fusarium head blight (FHB) resistance in hexaploid wheat remain largely unknown. In this study, 113 TaANK genomic loci were identified from the wheat reference genome, yielding 167 protein-coding sequences and revealing extensive alternative splicing within this gene family. TaANK genes were unevenly distributed across the 21 chromosomes, with the highest density on homoeologous group 4. A total of 71 segmentally duplicated gene pairs were identified, indicating that segmental duplication was the main driving force underlying the expansion of the TaANK gene family. Comparative synteny analysis revealed that 76 TaANK genes were syntenic with maize ANK genes, whereas only two syntenic gene pairs were detected with Arabidopsis, highlighting a monocot-specific expansion pattern. Phylogenetic analysis and structural domain analysis classified TaANK proteins into six major clades and nine structural subfamilies. In addition to the canonical ANK repeats, extra domains such as BTB, IQ, and kinase domains were identified, indicating substantial functional diversification within the family. Promoter cis-element analysis revealed widespread enrichment of hormone-responsive elements (e.g., ABA and MeJA) and stress-related motifs (e.g., low-temperature and anaerobic induction elements), suggesting complex multilayered transcriptional regulation. Analysis of public transcriptome datasets covering different developmental stages and multiple stress treatments further showed that TaANK genes exhibited highly differentiated expression patterns across tissues and in response to diverse stresses. Among them, TaANK41, TaANK124, and TaANK141 were preliminarily identified as potential genes associated with resistance to FHB in wheat. Further validation using RNA-seq data from resistant (Jingzhou 66 and Wuhan 1) and susceptible (Xinong 9871 and Zhengmai 366) wheat cultivars after Fusarium graminearum inoculation showed that TaANK41 and TaANK124 were significantly induced only in resistant cultivars, while showing weak or no response in susceptible backgrounds, implying a close association between their expression patterns and resistance levels. TaANK141 was induced in all genotypes but showed stronger induction in resistant cultivars, suggesting a broader role in stress responses. Overall, this study provides a comprehensive characterization of the wheat ANK gene family at the genomic, evolutionary, structural, and expression levels, and identifies TaANK41, TaANK124, and TaANK141 as promising candidate genes involved in FHB resistance, thereby providing valuable genetic resources and a theoretical basis for functional studies and resistance breeding.

      Identification of Sclerotinia sclerotiorum resistance and screening of candidate genes in Brassica napus germplasm resources
      Jin Hai-Run, Ou-Yang Qing-Jing, Long Xu, Yan Zhong-Bin, Lu Hai-Rui, Gu Kai-Ye, Tian En-Tang
      Acta Agronomica Sinica. 2026, 52(7):  2027-2044.  doi:10.3724/SP.J.1006.2026.55075
      Abstract ( 138 )   HTML ( 2 )   PDF (14874KB) ( 56 )   Save
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      S. sclerotiorum infection of rapeseed stems severely impairs plant growth and can cause yield losses ranging from 10% to 80%. In this study, 182 B. napus germplasm accessions were used to evaluate genetic similarity using ILP markers. All accessions were inoculated under field conditions, and resistance was assessed by live stem inoculation. Six germplasm accessions with strong resistance to S. sclerotiorum were identified. Subsequently, 20 highly resistant and 20 lowly resistant accessions were selected for bulked segregant analysis sequencing (BSA-seq). By integrating the localization intervals identified from SNPs and InDels, a 1.52 Mb resistance locus (Chr. C01: 19,040,000-20,560,000 bp) associated with S. sclerotiorum resistance was identified on chromosome C01. Combined bioinformatics analysis and gene functional annotation identified 11 candidate genes within this locus. In addition, one highly resistant and one lowly resistant accession that were genetically closely related and selected from the BSA-seq materials were subjected to transcriptome analysis at 12, 24, and 36 h after inoculation with S. sclerotiorum. The expression patterns of the 11 candidate genes were then examined in these two accessions. These results provide a valuable foundation for breeding B. napus cultivars resistant to S. sclerotiorum and contribute to a better understanding of the molecular mechanisms underlying resistance.

      Lipid responses of two winter turnip (Brassica rapa L.) varieties to natural cooling
      Fang Yan, Li Juan, Cui Jun-Mei, Wei Jia-Ping, Wu Ze-Feng, Liu Zi-Gang
      Acta Agronomica Sinica. 2026, 52(7):  2045-2056.  doi:10.3724/SP.J.1006.2026.55061
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      Lipids are major constituents of biological membranes and play crucial roles in plant responses to low-temperature stress. Here, we used liquid chromatography-mass spectrometry (LC-MS)-based lipidomics to characterize lipid responses during natural cooling in the roots of two B. rapa L. varieties with contrasting cold tolerance. In total, 432 lipid species were identified, spanning five major lipid categories and 27 subclasses, including glycerophospholipids (GPs), sterol lipids (STs), fatty acyls (FAs), glycerolipids (GLs), and sphingolipids (SPs). Glycerophospholipids and glycerolipids were the dominant classes, accounting for 40.97% and 35.65% of total lipids, respectively. Under cold stress (above 0°C), the cold-tolerant variety Longyou 7 (L7) showed higher accumulation of multiple molecular species of phosphatidic acid (PA), phosphatidylinositol (PI), phosphatidylethanolamine (PE), lysophosphatidylglycerol (LPG), and lysophosphatidylcholine (LPC) in roots than the less cold-tolerant variety Lenox (LN), with fold changes of 1.36-3.52. This enhanced accumulation may help maintain membrane fluidity at low temperature, thereby reducing cold-induced root injury. Under freezing conditions (below 0°C), L7 roots were mainly enriched in monoacylglycerol (MAG), diacylglycerol (DAG), and triacylglycerol (TAG) subclasses, with fold changes of 1.35-5.43, potentially providing energy reserves that support stress tolerance and overwintering. Pathway analysis indicated that lipid remodeling during natural cooling was primarily associated with glycerophospholipid and glycerolipid metabolism, with PA emerging as a key regulatory node linking the two networks. Overall, the cold-tolerant variety appears to promote winter survival by coordinating glycerophospholipid and glycerolipid metabolic adjustments.

      Screening and comprehensive evaluation of low-nitrogen-tolerant germplasm in Brassica juncea at the seedling stage
      Zeng Jian, Wang Ru-Meng, Wang Xu, Cui Shi-Yao, He Da-Wei, Li Jiang-He, Zhang Zhen-Hua, Gong Pan
      Acta Agronomica Sinica. 2026, 52(7):  2057-2072.  doi:10.3724/SP.J.1006.2026.55073
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      Low nitrogen use efficiency (NUE) is a major constraint on yield improvement in rapeseed. Screening germplasm tolerant to low nitrogen (LN) conditions is an effective strategy for improving NUE. Brassica juncea is an important oilseed crop known for its tolerance to poor soils and high nutrient-use efficiency, making it an ideal material for screening LN-tolerant germplasm. To identify LN-tolerant germplasm resources and establish a comprehensive evaluation model for LN tolerance in Brassica juncea, a hydroponic experiment was conducted using 156 core germplasm accessions from November 2021 to March 2022. Seedlings were subjected to two nitrogen treatments: low nitrogen (0.25 mmol L-1, LN) and normal nitrogen (4 mmol L-1, NN). Thirteen nitrogen efficiency-related traits were measured at the seedling stage, and the corresponding low-nitrogen stress tolerance indices were calculated. Comprehensive evaluation of LN tolerance and classification of nitrogen efficiency types were performed using the membership function method combined with principal component analysis (PCA), multiple regression, and systematic cluster analysis. The results showed that, under LN stress, the mean values of eight traits—shoot dry weight, total dry weight, root nitrogen content, shoot nitrogen content, total nitrogen content, root nitrogen accumulation, shoot nitrogen accumulation, and total nitrogen accumulation—were significantly lower than those under NN conditions. The reductions were particularly pronounced for shoot nitrogen accumulation (65.37%), total nitrogen accumulation (60.95%), shoot nitrogen content (53.59%), and total nitrogen content (49.22%), whereas the decreases in root nitrogen content (19.38%) and total dry weight (19.15%) were comparatively smaller. The coefficients of variation for all traits under LN stress (19.17%-52.15%) were markedly higher than those under NN conditions (8.89%-44.18%). PCA based on the low-nitrogen stress tolerance indices of the 13 traits extracted four principal components, which together explained 96.86% of the total variance. The comprehensive evaluation value (D) for LN tolerance was calculated using the membership function method. A multiple regression equation was established between D and the key indicators, D = -3.936+0.207X1+0.867X2+2.702X3+0.639X4, identifying four core evaluation indicators: total dry weight (X1), shoot nitrogen content (X2), root nitrogen accumulation (X3), and nitrogen uptake efficiency (X4). Based on the D values, the 156 germplasm accessions were clustered into six categories: 2 extremely LN-tolerant, 21 highly LN-tolerant, 11 LN-tolerant, 56 moderately LN-tolerant, 45 LN-sensitive, and 21 highly LN-sensitive accessions. This study established a comprehensive evaluation system for LN tolerance in Brassica juncea and identified 2 extremely LN-tolerant, 21 highly LN-tolerant, and 21 highly LN-sensitive accessions, providing an important theoretical basis for investigating the mechanisms of LN tolerance and for breeding LN-tolerant rapeseed cultivars.

      Screening and validation of cation/calcium exchanger OsCCX2 interacting proteins in rice
      Hao Xiao-Hua, Yan Peng, Li Wan-Ting, Qiu Yu, Jiang Shui-Ling, Zhang Juan-Juan, Xiang Yu-Ting, Qiu Mu-Dan, Li Li, Xie Peng, Yang You-Wei, Li Dong-Ping
      Acta Agronomica Sinica. 2026, 52(7):  2073-2083.  doi:10.3724/SP.J.1006.2026.52040
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      The rice cation/calcium exchanger OsCCX2 contributes to drought tolerance by clearing osmotic stress-induced calcium signals; however, how OsCCX2 is regulated during calcium signal clearance remains unclear. Here, to investigate OsCCX2 function and identify interacting proteins, we used two truncated OsCCX2 variants as baits, one lacking the N-terminal transmembrane domain and the other lacking the C-terminal transmembrane domain, and screened a rice cDNA library using a membrane-based yeast two-hybrid system. No robust interactors were recovered when the N-terminally truncated OsCCX2 was used as bait, whereas screening with the C-terminally truncated bait yielded 42 candidate OsCCX2-interacting proteins (CIPs). This result suggests that the N-terminal region of OsCCX2 is important for its full activity and/or for maintaining a functional interaction interface. Functional annotation indicated that the CIPs are associated with processes including water and ion transport, trehalose and sucrose metabolism, phosphorylation and ubiquitination, and hormone signaling, and several have been implicated in salt and drought stress responses. Five candidates were subsequently tested individually in yeast and further evaluated with AlphaFold 3 predictions, supporting interactions of OsCCX2 with the DNA damage-binding protein 1-like, the aquaporin CIP2, the MYB transcription factor CIP3, and the serine/threonine protein kinase CIP4. Bimolecular fluorescence complementation (BiFC) further confirmed the interaction between CIP2 and OsCCX2 in plant cells, whereas the calmodulin-dependent protein kinase CIP5 showed no evidence of a direct interaction with OsCCX2. Together, these findings outline an initial OsCCX2-centered protein-protein interaction network and provide candidate regulators for dissecting the mechanisms underlying OsCCX2-mediated calcium signal clearance and osmotic stress responses.

      TILLAGE & CULTIVATION·PHYSIOLOGY & BIOCHEMISTRY
      Effects of exogenous magnesium spraying at the final flowering stage on rapeseed yield and silique development
      Xiao Hong, Li Bing-Lin, Liao Bo, Xiao Guo-Bin, Lyu Wei-Sheng, Ren Tao, Lu Zhi-Feng, Lu Jian-Wei
      Acta Agronomica Sinica. 2026, 52(7):  2084-2094.  doi:10.3724/SP.J.1006.2026.55076
      Abstract ( 114 )   HTML ( 7 )   PDF (667KB) ( 38 )   Save
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      Magnesium (Mg) deficiency has become a critical constraint on achieving high rapeseed yield, particularly during the seed-filling and maturation stages. As the primary source-sink organ contributing to seed yield formation, siliques have a high demand for Mg, and adequate Mg nutrition promotes their growth and development, thereby directly determining the final yield potential of rapeseed. This study aimed to investigate the effects of foliar Mg application at the final flowering stage on silique growth, photosynthetic carbon fixation, sugar concentration, and seed yield in rapeseed, and to provide a theoretical basis for optimizing Mg management to improve yield. Field experiments were conducted during the 2022/2023 and 2023/2024 rapeseed growing seasons in Jinxian, Jiangxi province, and Anren, Hunan province. In the first year, two treatments were applied: foliar spraying with water (control) and foliar spraying with MgO at 1.5 kg hm-2. In the second year, a split-plot design was adopted, with basal Mg fertilizer application (MgO at 0 kg hm-2and 45 kg hm-2) assigned to the main plots and foliar spray treatments (MgO at 0 kg hm-2and 1.5 kg hm-2) assigned to the subplots. The results showed that, in the absence of basal Mg application, foliar Mg spraying at the final flowering stage significantly increased rapeseed yield compared with the control, with average increases of 10.2% and 11.8% in Jinxian and Anren, respectively. Basal Mg application (MgO at 45 kg hm-2) increased rapeseed yield by 16.0% in Jinxian and 16.7% in Anren compared with the treatment without Mg application. On the basis of basal Mg application, foliar Mg spraying further increased yield by 5.3% in Jinxian and 10.6% in Anren relative to the water-sprayed treatment. Basal Mg application increased rapeseed yield mainly by increasing the number of pods per plant (6.3%) and the number of seeds per pod (3.6%) compared with the treatment without Mg application. In contrast, foliar Mg spraying improved yield relative to the water-sprayed treatment by increasing the number of pods per plant (8.0%), seeds per pod (2.6%), and 1000-seed weight (1.5%). Compared with the water-sprayed treatment, foliar Mg application significantly promoted silique development, increasing silique length and width and thereby expanding silique surface area by 5.5%, while also increasing seed number and seed weight per silique by 6.9% and 6.6%, respectively. Moreover, foliar Mg spraying increased Mg concentrations in both silique walls and seeds by 9.5% and 2.8%, respectively, and enhanced the net photosynthetic rate of the silique wall by an average of 57.4%. This promoted the translocation of photosynthates to the seeds, as indicated by a 4.8% decrease in soluble sugar concentration in silique walls and a 7.6% increase in seed starch accumulation. In conclusion, the combination of basal Mg application (MgO at 45 kg hm-2) and foliar Mg spraying (MgO at 1.5 kg hm-2) at the final flowering stage effectively met the Mg demand of rapeseed, enhanced silique carbon fixation efficiency, and increased yield by promoting both seed number and seed weight.

      Photosynthetic mechanisms underlying yield stability under reduced nitrogen in maize-soybean intercropping: enhanced conversion efficiency of photosynthates
      Liu Feng, Dong Hong-Wei, Zhang Yue, Li Ran, Sun Ruo-Nan, Liu Jia-Cheng, Sun Shu-Jie, Zhang Xu-Dong, Han Qing-Fang
      Acta Agronomica Sinica. 2026, 52(7):  2095-2108.  doi:10.3724/SP.J.1006.2026.53094
      Abstract ( 115 )   HTML ( 4 )   PDF (2486KB) ( 53 )   Save
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      To elucidate the photosynthetic and physiological mechanisms underlying yield stability in maize-soybean intercropping systems under reduced nitrogen (N) input, a two-factor field experiment was conducted during 2023-2024 in the double-cropping region of the Guanzhong Plain, China. Two cropping systems were compared: (i) a rotation system of winter wheat-summer soybean and winter wheat-summer maize (D), and (ii) a continuous relay intercropping system of winter wheat-summer maize || soybean (I). Four N application rates were imposed on the summer crops: 0 (N0), 135 (N1), 180 (N2), and 225 kg hm-2 (N3), resulting in a total of eight treatments. Both N rate and cropping system significantly affected aboveground growth and yield performance. Under the same N input, intercropped maize exhibited slightly lower leaf area index (LAI) and intercepted photosynthetically active radiation (IPAR) than sole-cropped maize, but showed significantly higher SPAD values and canopy transmittance, by 1.4%-5.0% and 16.7%-32.3%, respectively (P < 0.05). Net photosynthetic rate (Pn) and grain radiation-use efficiency (RUEG) increased by 1.7%-14.8% and 2.7%-26.0%, respectively, compared with those under sole cropping (P < 0.05), indicating improved photosynthate conversion and enhanced resource-use efficiency in the intercropping system. When evaluated over a complete two-year production cycle, intercropped maize showed substantial yield advantages, with total aboveground dry matter accumulation increasing by 41.1%-55.7%, total grain yield increasing by more than 38.3%, and maize equivalent yield increasing by 22.7%-30.9%, all of which peaked under the N2 treatment. Maize yield under intercropping showed a unimodal response to increasing N application, with no significant difference between the N2 and N3 treatments. Owing to shading by maize, the two-year total yield of intercropped soybean was 0.5%-12.6% lower than that of sole-cropped soybean and showed an overall declining trend; however, no significant differences were observed among the N1, N2, and N3 treatments, and the highest soybean yield was also recorded under N2. Overall, moderate N reduction in the intercropping system maintained high photosynthetic activity in maize, optimized canopy structure and light distribution, and enhanced the temporal and spatial efficiency of photosynthate conversion. Compared with conventional N application, N2 effectively prevented excessive vegetative growth and canopy shading, sustained functional leaf activity, and promoted efficient assimilate translocation during grain filling, thereby achieving a dynamic balance between photosynthate accumulation and grain formation. These results demonstrate that a 20% reduction in N application (180 kg hm-2) in the continuous multiple-cropping system of winter wheat-summer maize || soybean can achieve high resource-use efficiency and stable system productivity, indicating strong potential for wider adoption in the Guanzhong Plain and similar double-cropping regions.

      Synergistic monitoring of rapeseed based on nitrogen nutrition index and comprehensive growth index
      Tan Xiao-Qiang, Wang Jian, Kuai Jie, Wang Bo, Wang Jing, Xu Zheng-Hua, Zhao Jie, Zhang Peng-Peng, Zhang Jian, Zhou Guang-Sheng
      Acta Agronomica Sinica. 2026, 52(7):  2109-2126.  doi:10.3724/SP.J.1006.2026.65004
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      Optimal planting density and nitrogen application rate are critical agronomic practices for developing high-performing populations of direct-seeded rapeseed. However, under practical production conditions, substantial variation in planting density, together with marked differences in soil fertility and nitrogen management among fields, leads to inconsistency in population structure and individual plant growth, ultimately affecting yield and lodging resistance. To enable precise monitoring of population growth and refined nitrogen management in direct-seeded rapeseed, this study used the cultivar Huayouza 50 and conducted two-year field experiments at two locations. Six planting densities (15, 30, 45, 60, 75, and 90 ×104 plants hm-2) and eight basal nitrogen application rates (0, 60, 120, 180, 240, 300, 360, and 420 kg hm-2) were tested. Combined with multi-source data acquired by unmanned aerial vehicle (UAV) remote sensing, the relationships between vegetation indices (VIs) and plant nitrogen content (PNC), aboveground dry matter (DM), yield, and lodging risk were systematically analyzed. A UAV-based monitoring system integrating the nitrogen nutrition index (NNI) and a comprehensive growth index (CGI) was then established. The results showed that the localized critical nitrogen dilution curve, Nc1 = 3.51DM-0.23, agreed well with existing regional models (R2 = 0.919), providing a reliable benchmark for diagnosing nitrogen status. The CGI model, which integrated multiple agronomic parameters, exhibited high predictive stability from winter dormancy to the bolting stage (random forest validation set R2 ≥ 0.98), significantly outperforming models based on a single vegetation index. Furthermore, the study quantified CGI thresholds associated with yield and lodging: a CGI value below 0.597 at the bolting stage was associated with increased lodging risk (lodging angle > 30°), whereas a CGI value above 0.802 indicated yield reduction caused by excessive nitrogen supply. These thresholds provide practical guidance for nitrogen management and lodging control. Based on these results, a “NNI rapid screening-CGI precise diagnosis” framework was proposed using multi-source data. In this framework, UAV-based VIs are first used to estimate NNI for rapid diagnosis of crop nitrogen status; when deficiency or excess is detected, CGI is further modeled using machine learning for high-precision diagnosis and to generate quantitative decision thresholds for optimizing yield and minimizing lodging. This integrated framework provides a foundation for the practical application of UAV remote sensing in direct-seeded rapeseed production and offers a valuable strategy for improving resource-use efficiency and enabling precision agronomic management.

      Physiological mechanisms by which transplanting method and density interact to regulate photosynthate production, translocation, and partitioning in sweet potato
      Xu Jia-Yi, Liu Yu-Hang, Xu Bing-Jie, Xu Ming, Wang Ru-Juan, Chai Sha-Sha, Liu Hong-Juan
      Acta Agronomica Sinica. 2026, 52(7):  2127-2143.  doi:10.3724/SP.J.1006.2026.54152
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      The interaction between transplanting method and density is an effective agronomic strategy for regulating sweet potato yield and appearance quality; however, the underlying mechanisms governing photosynthate transport and allocation remain unclear. To address this issue, field experiments were conducted using the table-use cultivar ‘Yanshu 25’ under two transplanting methods(slanting and horizontal), each combined with five plant spacings (26, 23, 20, 17, and 14 cm). Leaf photosynthetic characteristics, photosynthate export potential, and stem translocation efficiency were systematically investigated, and their relationships with storage root yield and appearance quality were analyzed. The results showed a significant interaction between transplanting method and density on storage root yield (P < 0.05). Within each transplanting method, the slanting transplanting with 20 cm spacing (SD20) and the horizontal transplanting with 17 cm spacing (HD17) treatments produced the highest storage root yields. Compared with their respective conventional-density treatments (20 cm spacing), yield increased by 17.32%-20.82% under SD20 and by 13.36%-15.80% under HD17. In addition, these treatments improved both the proportion of medium-sized storage roots and root uniformity. Functional leaves under these treatments developed a stomatal pattern characterized by high density and small apertures, which increased the proportion of stomatal area and enhanced net photosynthetic rate and the sucrose-to-starch ratio, thereby improving photosynthate export potential. At the same time, these treatments shortened the source-to-sink distance and maintained a higher proportion of vascular bundle area in the stems, thereby enhancing photosynthate transport efficiency. As a result, dry matter partitioning to storage roots and carbohydrate accumulation in storage roots increased significantly. Correlation analysis further indicated that stomata-regulated photosynthetic carbon assimilation likely affects storage root yield by modulating leaf photosynthate export. In conclusion, the optimized combination of transplanting method and density can synergistically improve leaf photosynthetic structure and function as well as stem and vine transport efficiency, thereby establishing an efficient source-flow-sink system and ultimately achieving the simultaneous improvement of sweet potato yield and appearance quality.

      Effects and mechanisms of nitrogen topdressing combined with fertilizer efficiency enhancers under drip irrigation under mulch on peanut growth and nitrogen use efficiency
      Wu Ying-Jie, Hu Guo-Qing, Liu Feng-Zhen, Liu Zhao-Xin, Dong Yuan-Jie, Wan Yong-Shan
      Acta Agronomica Sinica. 2026, 52(7):  2144-2158.  doi:10.3724/SP.J.1006.2026.55074
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      To investigate the effects of split nitrogen topdressing under mulch-integrated drip irrigation combined with nitrogen fertilizer efficiency enhancers on peanut growth, yield, and nitrogen use efficiency, and to determine the optimal topdressing timing and the best combination of nitrogen fertilizer and inhibitors, a two-factor split-plot experiment was conducted using peanut cultivar Jinguan 1 as the test material. Compared with the no-nitrogen control (CK), the main plot factor was topdressing regime, with two treatments: two nitrogen topdressings applied at the flowering-pegging stage and pod-setting stage (T1), and three nitrogen topdressings applied at the flowering-pegging stage, pod-setting stage, and pod-filling stage (T2). The subplot factor was inhibitor type, with four treatments: urea (N1), urea + the urease inhibitor NBPT (N2), urea + the nitrification inhibitor DMPP (N3), and urea + NBPT + DMPP (N4). The effects of these treatments on peanut growth, yield, quality, nitrogen use efficiency, leaf SPAD value, physiological traits of mature leaves, and soil nitrogen supply capacity were systematically evaluated. The results showed that, compared with T2, T1 was more effective in improving peanut growth and physiological characteristics, significantly increasing biomass, yield, and quality, enhancing leaf SPAD values and antioxidant enzyme activities in mature leaves, reducing CAT content and the O2? production rate in leaves, increasing partial factor productivity, agronomic efficiency, and the contribution rate of nitrogen fertilizer by 10%-18%, 26%-45%, and 12%-24%, respectively, and significantly improving soil nitrogen supply capacity. Under the same number of topdressings, compared with N1, the addition of NBPT inhibited soil urease activity, whereas the addition of DMPP inhibited the activities of soil nitrate reductase and nitrite reductase. Among all treatments, N3 showed the best overall performance, significantly increasing plant height and dry matter accumulation, enhancing photosynthetic capacity and soil nitrogen supply capacity, and increasing yield per plant by 30%-32%. The highest yield per plant was obtained under T1N3. In conclusion, under mulch-integrated drip irrigation, the combined application of nitrogen fertilizer and the nitrification inhibitor DMPP at the flowering-pegging and pod-setting stages significantly promoted peanut growth. This treatment optimized the activities of soil nitrogen metabolism enzymes, improved soil nitrogen supply capacity, enhanced leaf physiological performance, increased photosynthetic capacity, delayed leaf senescence, and ultimately improved peanut yield, quality, and nitrogen use efficiency. As the optimal treatment under the present experimental conditions, it provides a scientific basis for efficient nitrogen management in peanut production.

      Physiological effects and transcriptomic and metabolomic regulation of exogenous calcium combined with melatonin in alleviating cadmium stress in cotton seedlings
      Huang Yan-Xin, Yan Xu-Yu, Cao Yan, Wei Yi-Han, Zhang Jia-Ning, Wang Yi-Tong, Li Ling
      Acta Agronomica Sinica. 2026, 52(7):  2159-2179.  doi:10.3724/SP.J.1006.2026.54156
      Abstract ( 128 )   HTML ( 1 )   PDF (6520KB) ( 40 )   Save
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      In this study, a hybrid cotton variety, CRI 63, was used to investigate the mechanisms underlying the responses of calcium (Ca) and melatonin (MT), as well as their synergistic effects, to cadmium (Cd) stress in cotton seedlings. An indoor hydroponic experiment was conducted at the seedling stage with the following treatments: T0 (CK), T1 (Cd), T2 (Cd+CaCl2), T3 (Cd+MT), T4 (Cd+CaCl2+MT). We analyzed differences in antioxidant enzyme activities, photosynthetic performance, osmotic adjustment substances, calcium signaling components, as well as transcriptional and metabolic responses. The results showed that application of 10 mmol L-1 CaCl2, 100 μmol L-1 MT, and their combination enhanced the activities of antioxidant enzymes, including SOD, POD, APX, and GR; reduced the contents of reactive oxygen species (ROS: O2? and H2O2) and malondialdehyde (MDA); increased the levels of osmoregulatory substances, including soluble sugars, soluble proteins, and free proline; improved photosynthetic performance, including photosynthesis and chlorophyll fluorescence parameters; and decreased Cd accumulation while increasing Ca content in cotton seedlings under Cd stress. In particular, the combined application of MT and Ca significantly increased the contents of MT, Ca, and Ca2+-ATPase, while reducing Cd accumulation. These results indicate that exogenous MT and Ca can alleviate oxidative damage and enhance plant resistance to Cd stress. Integrated transcriptomic and metabolomic analyses revealed that treatment with 10 mmol L-1 CaCl2 significantly promoted the enrichment of differentially expressed genes (DEGs) and differentially accumulated metabolites (DAMs) in the phenylalanine metabolism pathway in cotton seedlings under Cd stress, whereas 100 μmol L-1 MT significantly stimulated the enrichment of DAMs in flavonoid biosynthesis pathways. Notably, 10 mmol L-1 CaCl2, 100 μmol L-1 MT, and their combination alleviated Cd toxicity by modulating the co-expression of DEGs and DAMs associated with the valine, leucine, and isoleucine degradation pathway. Overall, application of 10 mmol L-1 CaCl2, 100 μmol L-1 MT, and especially their combined treatment, alleviated Cd stress in cotton seedlings to varying degrees, with the combined treatment showing the greatest effect.

      Effects of intercropped green manure and irrigation quota on water use characteristics and water productivity of maize in an oasis irrigation district
      Zhang Guo-Chao, Wang Yun-Jie, Chang Qiao-Ling, Hou Si-Yu, Fan Zhi-Long, Yin Wen, Hu Fa-Long, Chai Qiang
      Acta Agronomica Sinica. 2026, 52(7):  2180-2192.  doi:10.3724/SP.J.1006.2026.53095
      Abstract ( 124 )   HTML ( 6 )   PDF (948KB) ( 62 )   Save
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      To address the widespread practice of continuous maize monoculture and the low irrigation water productivity in oasis irrigation districts, a study was conducted to optimize cropping systems and irrigation regimes, with the aim of providing a basis for developing simplified and highly efficient water-saving technologies for maize production. The experiment was based on a long-term fixed-site trial established in 2017 and arranged in a split-plot design. Three cropping patterns were assigned to the main plots: maize intercropped with green manure followed by in situ incorporation (M/VP), maize intercropped with green manure used as surface mulch (M/VC), and sole maize (M). Three irrigation levels were applied: conventional irrigation (400 mm, I3), 15% reduced irrigation (340 mm, I2), and 30% reduced irrigation (280 mm, I1), resulting in nine treatment combinations. During the 2023-2024 growing seasons, grain yield, crop water consumption, and water productivity under the different treatments were evaluated. The results showed that green manure intercropping was conducive to increasing maize grain yield, and in situ incorporation of the green manure compensated for the yield penalty associated with a 15% reduction in irrigation. Grain yield under I2 and I1 was 4.7% and 15.0% lower than that under I3, whereas yield under M/VP was 18.7% higher, than that under M. Compared with MI3, M/VPI2 and M/VCI2 increased grain yield by 11.5% and 9.5%, respectively. Intercropping with green manure had no significant effect on total maize evapotranspiration (ET), but it enhanced the reduction in ET achieved by deficit irrigation. Compared with the conventional sole-maize treatment under full irrigation (MI3), ET under M/VCI2 and M/VCI1 was reduced by 10.4% and 20.0%, respectively. Both green manure intercropping and deficit irrigation decreased soil evaporation (E) from the inter-row space, and green manure further strengthened the reduction in E induced by deficit irrigation. Relative to M, E under M/VP and M/VC was reduced by 5.7% and 8.4%, respectively, whereas E under I2 and I1 was 9.2% and 19.6% lower than that under I3. In combination, M/VCI2 and M/VCI1 reduced E by 17.0% and 26.9%, respectively, compared with MI3. The combination of green manure intercropping and deficit irrigation significantly reduced non-productive water loss, as reflected by the ratio of soil evaporation to evapotranspiration (E/ET): compared with MI3, E/ET under M/VPI2, M/VCI2, M/VPI1, and M/VCI1 decreased by 15.8%, 11.2%, 13.1%, and 10.7%, respectively. Green manure intercropping enhanced the advantages of moderate deficit irrigation in improving maize water use efficiency (WUE) and irrigation water use efficiency (IWUE), with a greater effect on IWUE than on WUE, particularly under the incorporation treatment. Relative to M, M/VP and M/VC increased WUE by 18.5% and 14.9% and IWUE by 19.1% and 17.3%, respectively; compared with MI3, WUE and IWUE under M/VPI2 increased by 26.1% and 31.2%, respectively. Overall, maize-green manure intercropping combined with green manure incorporation is a feasible strategy for saving irrigation water and enhancing water productivity in maize production systems in oasis irrigation districts.

      Estimation of chlorophyll content in potato leaves based on chlorophyll fluorescence imaging
      Ma Chen-Ming, Ha Si-Tu-Ya, Chang Hong-Bo, Liang Qing-Tian, You Le, Wu Shang-Rong
      Acta Agronomica Sinica. 2026, 52(7):  2193-2206.  doi:10.3724/SP.J.1006.2026.54157
      Abstract ( 102 )   HTML ( 2 )   PDF (13281KB) ( 35 )   Save
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      Potato is the fourth most important food crop in the world, and accurate monitoring of its growth status is crucial for field management and yield estimation. Chlorophyll is a key indicator of crop photosynthetic capacity and growth status. A field experiment with three nitrogen application rates (280, 220, and 180 kg hm-2) was conducted in Wuchuan county, Inner Mongolia. Leaf chlorophyll fluorescence parameters were measured using a chlorophyll fluorescence imager, and SPAD values were obtained and converted to total chlorophyll (Tchl). The spatiotemporal heterogeneity of chlorophyll fluorescence parameters at different growth stages and leaf positions, as well as the correlations between fluorescence parameters and chlorophyll content, were analyzed to identify stable fluorescence parameters for estimating chlorophyll content. Based on these stable parameters, machine learning models were developed to estimate chlorophyll content in potato leaves. The results showed that basal fluorescence (Fo) and maximum fluorescence intensity (Fm) were high in the vein regions and low at the leaf margins, whereas the maximum photochemical quantum yield (Fv/Fm), actual photochemical quantum yield (Y(II)), photochemical quenching coefficient (qP), and photochemical quenching coefficient (qL) were more uniformly distributed. Y(II), qP, and electron transfer rate (ETR) were significantly and positively correlated with Tchl, with correlation coefficients (r) of 0.57, 0.53, and 0.59, respectively. By contrast, Fo and Fv/Fm were only weakly correlated with Tchl (r = 0.20). Among the tested models, the random forest (RF) model showed the best performance, with R2 values of 0.93 and 0.51 for the training and testing sets, respectively. Although the partial least squares regression (PLSR) and backpropagation neural network (BPNN) models showed relatively low explanatory power, with R2 values of 0.42 and 0.44, respectively, their predictions exhibited low variance. Overall, chlorophyll fluorescence imaging can effectively achieve non-destructive monitoring of chlorophyll content and photosynthetic status in potato leaves. Among the fluorescence parameters, Y(II), qP, and ETR showed strong potential for chlorophyll content estimation, providing effective technical support for precise potato monitoring.

      YOLO-based detection of maize tassels under field conditions
      Song Li-Wen, Zhao Meng, Jiao Jin-Long, Yue Ji-Bo, Gao Guang-Fu, Feng Hai-Kuan, Qiao Hong-Bo, Sun Xiao-Yun
      Acta Agronomica Sinica. 2026, 52(7):  2207-2218.  doi:10.3724/SP.J.1006.2026.53076
      Abstract ( 219 )   HTML ( 2 )   PDF (11793KB) ( 61 )   Save
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      Accurate identification of maize tassels is a prerequisite for mechanized, precision operations in male-sterile seed production, and directly contributes to improved seed purity and final yield. However, the complex morphology of tassels and their strong blending with field backgrounds make efficient and accurate automatic recognition challenging. Here, we propose TA-YOLO, an improved YOLOv8-based model designed to reduce missed detections of small tassels and to address scale variations caused by different UAV flight heights, enabling precise tassel detection in complex field environments. Images were collected using a UAV-mounted digital camera, and a multi-scale dataset was constructed from four flight altitudes (10, 15, 20, and 25 m). To improve robustness to scale variation, we introduced a bi-directional feature pyramid network (BiFPN) to strengthen multi-scale feature fusion. To mitigate missed detections of small targets under complex backgrounds, we replaced the spatial pyramid pooling-fast (SPPF) layer with a feature refinement module (FRM) to enhance small-tassel representation. In addition, a convolutional block attention module (CBAM) was integrated into the backbone to improve attention to informative features. TA-YOLO achieved 89.5% precision, 88.8% recall, 93.8% mean average precision (mAP), and an F1-score of 89.2%, representing improvements of 1.8%, 0.2%, 0.8%, and 1.0%, respectively, over the baseline model. These results demonstrate that TA-YOLO can detect maize tassels accurately and efficiently under field conditions, providing technical support for yield prediction in maize breeding and advancing intelligent maize production.

      RESEARCH NOTES
      Effects of planting density on dry matter production and yield of semi-creeping and erect peanut
      Jin Xin-Xin, Su Qiao, Song Ya-Hui, Zhao Ji-Yu, Yang Yong-Qing, Wang Jin
      Acta Agronomica Sinica. 2026, 52(7):  2219-2230.  doi:10.3724/SP.J.1006.2026.55080
      Abstract ( 143 )   HTML ( 1 )   PDF (1840KB) ( 54 )   Save
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      This experiment was conducted using two high-oleic-acid peanut varieties, the semi-creeping small-seeded variety ‘Jihua 18’ and the erect large-seeded variety ‘Jihua 19’, under five planting densities: 105,000 (D1), 127,500 (D2), 150,000 (D3), 172,500 (D4), and 195,000 hills hm-2 (D5), to investigate the effects of planting density on agronomic traits, population characteristics, dry matter accumulation and distribution, and yield components in peanuts with different plant types. The results showed that, with increasing planting density, the yields of both ‘Jihua 18’ and ‘Jihua 19’ first increased and then decreased. The two-year mean yields of ‘Jihua 18’ and ‘Jihua 19’ were highest at D3, reaching 4592.06 kg hm-2 and 4961.54 kg hm-2, respectively. The main stem height and lateral branch length of ‘Jihua 18’ increased with increasing density, whereas those of ‘Jihua 19’ gradually decreased. As planting density increased from D1 to D5, leaf area per plant, branch number per plant, pod number per plant, and pod weight per plant gradually decreased in both varieties, whereas population leaf area index, population branch number, and total dry matter accumulation increased significantly; however, the proportion of dry matter allocated to pods gradually decreased. Crop growth rate and leaf area duration increased with increasing density, whereas pod growth rate first increased and then decreased. As density increased, the time required for the leaf area index to reach 4.5 was advanced by approximately 16 to 27 days. Pod yield was closely correlated with dry matter weight at harvest, leaf area index, and seed production rate. Among the two varieties, ‘Jihua 19’ exhibited an erect plant type, an appropriate leaf area index, high single-pod weight, and a high proportion of dry matter allocated to pods, which contributed to its superior yield. In contrast, ‘Jihua 18’ showed a looser plant architecture, a high leaf area index, high crop growth rate, and long leaf area duration, but a relatively low proportion of dry matter allocated to pods, resulting in lower pod yield. Considering plant type, pod size, and economic benefits, under double-seed sowing per hill, the optimal planting densities for ‘Jihua 18’ and ‘Jihua 19’ were 151,100 hills hm-2 and 157,100 hills hm-2, respectively. This study provides a theoretical basis for improving high-yield cultivation practices in peanut production.

Co-sponsored:
the Crop Science Society of China
the Institute of Crop Sciences, CAAS
China Science Publishing & Media Ltd.
Published: Science Press
Editor-in-chief: Wan Jian-min
Associate Editors-in-Chief:
Zhang Xian-long Ding Yan-feng Wang Jian-kang
Xu Ming-liang Liu Lu-xiang Qiu Li-juan
Ni Zhong-fu Zhou Wen-bin Yan Chun-ling
Director of the editorial department:
Yan Chun-ling
CN 11-1809/S
ISSN 0496-3490
Post subscription code: 82-336

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