Welcome to Acta Agronomica Sinica，

Acta Agronomica Sinica ›› 2021, Vol. 47 ›› Issue (8): 1551-1562.doi: 10.3724/SP.J.1006.2021.03053

• TILLAGE & CULTIVATION · PHYSIOLOGY & BIOCHEMISTRY • Previous Articles     Next Articles

Effects of plastic film mulching on leaf metabolic profiles of maize in the Loess Plateau with two planting densities

NIU Li1,2,3(), BAI Wen-Bo1, LI Xia2, DUAN Feng-Ying2, HOU Peng2, ZHAO Ru-Lang4, WANG Yong-Hong4, ZHAO Ming2, LI Shao-Kun2, SONG Ji-Qing1,*(), ZHOU Wen-Bin2,*()   

  1. 1Key Laboratory of Prevention and Control of Residual Pollution in Agricultural Film, Ministry of Agriculture and Rural Affairs/Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, China
    2Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
    3College of Water Resources and Civil Engineering, China Agricultural University, Beijing 100083, China
    4Ningxia Academy of Agriculture and Forestry Sciences, Crops Research Institute, Yongning 750105, Ningxia, China
  • Received:2020-09-11 Accepted:2020-12-01 Online:2021-08-12 Published:2021-01-04
  • Contact: SONG Ji-Qing,ZHOU Wen-Bin E-mail:niulipipi@163.com;songjiqing@caas.cn;zhouwenbin@caas.cn
  • Supported by:
    National Key Research and Development Program of China(2016YFD0300102)

RichHTML386

34

PDF

987

Abstract:

In the Loess Plateau, the study of leaf metabolomics under plastic mulching is an important step to explore the mechanism of plastic film mulching to increase grain yield in maize. Metabolomics analysis was performed on the leaves of two maize cultivars (Zhengdan 958 and Xianyu 335) under two planting densities (7.5×104 and 10.5×104 plant hm-2) and two mulching modes (plastic film mulching and no mulching ) at silking stage using gas chromatography-quadrupole-time of flight mass spectrometry (GC-QTOF) technology. In term of the number of differential metabolites, the response of Xianyu 335 to plastic film mulching was greater than that of Zhengdan 958. The higher planting density reduced the difference in leaf metabolism between plastic film mulching and no mulching. The principal component analysis revealed that both the mulching treatment and the cultivar had significant impacts on the composition of the metabolites. The separation of metabolic spectrum along plastic film mulching was mainly driven by organic acids such as citric acid and amino acids; the separation along cultivar was mainly driven by alkanoic acids and phenols. Correlation analysis indicated that resveratrol, phytol and glucose-6-phosphate had significant positive correlations with maize grain yield, whereas glycerol had a significant negative correlation with it. Under plastic film mulching condition, the levels of valine, isoleucine and methionine related to respiration and elimination of photorespiration products; isocitrate related to tricarboxylic acid cycle, methionine, N-acetylaspartic acid and other metabolites that could reduce photoinhibition showed an overall increasing trend. These results indicated that, under plastic film mulching condition, the antioxidant and energy metabolism-related metabolites played important roles in increasing grain yield. The elimination of photorespiration products and the accumulation of metabolites to alleviate photoinhibition were the metabolic bases for the increase of net photosynthetic rate in maize leaves.

Key words: plastic film mulching, leaf, metabolome, yield, antioxidant, maize

Fig. 1

Schematic diagram of the different plastic film mulching modes in the study The maize was grown in the furrows of ridge-furrow construction with wide - narrow rows. A: FM, ridge-furrow construction with alternating wide (80 cm) and narrow (40 cm) ridges and full plastic film mulching; B: NM, ridge-furrow construction with alternating wide (80 cm) and narrow (40 cm) ridges and no mulching."

Fig. 2

Principal component analysis (PCA) of the metabolic profile of maize leaves under different treatments A: scores of the first principal component (PC1) and the second principal component (PC2). B: the top ten negative and metabolites of PC1. C: the top ten negative and metabolites of PC2. FMZL: ZD958 with low planting density and plastic film mulching; FMZH: ZD958 with high planting density and plastic film mulching; FMXL: XY335 with low planting density and plastic film mulching; FMXH: XY335 with high planting density and plastic film mulching; NMZL: ZD958 with low planting density and no mulching; NMZH: ZD958 with high planting density and no mulching; NMXL: XY335 with low planting density and no mulching; NMXH: XY335 with high planting density and no mulching. Among them, green represents lower expression abundance, and red represents higher expression abundance."

Fig. 3

Number of differential metabolites between different treatment groups Treatments are the same as those given in Fig. 2."

Fig. 4

Venn diagram of metabolites with significant differences between different treatments Treatments are the same as those given in Fig. 2. The numbers indicate the numbers of metabolites with significant differences between the two treatments."

Fig. 5

Hierarchical cluster analysis of 41 major metabolites and representative substances of main classification under plastic film mulching and no mulching conditions in maize leaves Treatments are the same as those given in Fig. 2. Among them, green represents lower expression abundance, and red represents higher expression abundance."

Fig. 6

Changes in the metabolic network of maize leaves Red circles represent substances that are generally up-regulated under plastic film mulching treatment, and green circles represent substances that are generally down-regulated under plastic film mulching treatment. Eight different color blocks from left to right represent FMZL, FMZH, FMXL, FMXH, NMZL, NMZH, NMXL, and NMXH, respectively. Treatments are the same as those given in Fig. 2. Among them, green block represents lower expression abundance, and red represents higher expression abundance."

Table 1

Grain yield per plant and yield components of maize"

处理
Treatment		 单株籽粒产量
Grain yield per plant (g)		 每穗籽粒数
Number of kernels per ear		 千粒重
1000-kernel weight (g)
FMZL 210.44 ± 14.22 a 576.21 ± 38.56 ab 295.97 ± 5.10 abc
FMZH 138.76 ± 7.97 c 561.87 ± 22.38 abc 279.74 ± 24.07 bc
FMXL 185.19 ± 4.76 b 620.53 ± 31.70 a 319.36 ± 29.09 a
FMXH 132.57 ± 8.32 c 558.35 ± 26.93 abc 287.68 ± 7.87 bc
NMZL 183.72 ± 6.89 b 492.40 ± 48.18 d 302.10 ± 3.71 ab
NMZH 108.04 ± 9.95 d 507.97 ± 22.00 cd 297.22 ± 10.59 abc
NMXL 141.91 ± 7.16 c 530.95 ± 42.23 bcd 304.90 ± 5.95 ab
NMXH 126.11 ± 7.22 c 471.89 ± 29.38 d 270.69 ± 16.18 c
变异来源Source of variation
覆膜Plastic film mulching ** ** **
密度Density ** ** **
品种Cultivar ** NS *
覆膜×密度Plastic film mulching × Density * NS NS
覆膜×品种Plastic film mulching × Cultivar NS NS NS
密度×品种Density × Cultivar ** * NS
覆膜×密度×品种
Plastic film mulching × Density × Cultivar		 ** NS NS

Fig. 7

Correlation between metabolite levels and grain yield in maize r and P are the correlation coefficient and P-value from Pearson correlation analysis, respectively."

Fig. 8

Correlation between metabolite levels and biomass in maize r and P are the correlation coefficient and P-value from Pearson correlation analysis, respectively."

[1] Lobell D B, Schlenker W, Costa-Roberts J. Climate trends and global crop production since 1980. Science, 2011,333:616-620.
doi: 10.1126/science.1204531
[2] Sherwood S, Fu Q. Climate change: a drier future? Science, 2014,343:737-739.
doi: 10.1126/science.1247620
[3] Iglesias A, Garrote L. Adaptation strategies for agricultural water management under climate change in Europe. Agric Water Manage, 2015,155:113-124.
doi: 10.1016/j.agwat.2015.03.014
[4] Li F M, Wang P, Wang J, Xu J Z. Effects of irrigation before sowing and plastic film mulching on yield and water uptake of spring wheat in semiarid Loess Plateau of China. Agric Water Manage, 2004,67:77-88.
doi: 10.1016/j.agwat.2004.02.001
[5] Li S X, Wang Z H, Malhi S S, Li S Q. Nutrient and water management effects on crop production, and nutrient and water use efficiency in dryland areas of China. Adv Agron, 2009,102:223-265.
[6] Liu Q F, Chen Y, Liu Y, Wen X X, Liao Y C. Coupling effects of plastic film mulching and urea types on water use efficiency and grain yield of maize in the Loess Plateau, China. Soil Tillage Res, 2016,157:1-10.
doi: 10.1016/j.still.2015.11.003
[7] Mzirai O B, Tumbo S D. Macro-catchment rainwater harvesting systems: challenges and opportunities to access runoff. J Anim Plant Sci, 2010,7:789-800.
[8] 张万恒, 张恒嘉, 王泽义, 高佳. 秸秆覆盖方式对西北旱作马铃薯产量效益的影响. 农业工程, 2018,8(12):85-88.
Zhang W H, Zhang H J, Wang Z Y, Gao J. Effect of straw mulching on yield of potato in drought region of Northwest China. Agric Eng, 2018,8(12):85-88 (in Chinese with English abstract).
[9] 唐学芬, 赵文举, 李宗礼, 郁文. 压砂地土壤盐分空间变异规律. 水土保持通报, 2016,36(3):18-23.
Tang X F, Zhao W J, Li Z L, Yu W. Variation pattern of soil Salinity of gravel-sand mulched field. Bull Soil Water Conser, 2016,36(3):18-23 (in Chinese with English abstract).
[10] 李憑峰, 谭煌, 王嘉航, 杨培岭. 滴灌水肥条件对樱桃产量、品质和土壤理化性质的影响. 农业机械学报, 2017,48(7):236-246.
Li P F, Tan H, Wang J, Yang P L. Effects of drip irrigation water and fertilizer conditions on cherry yield, quality and soil physical and chemical properties. Trans CSAM, 2017,48(7):236-246 (in Chinese with English abstract).
[11] Zhang X D, Yang L C, Xue X K, Kamran M, Ahmad I, Dong Z Y, Liu T N, Jia Z K, Zhang P, Han Q F. Plastic film mulching stimulates soil wet-dry alternation and stomatal behavior to improve maize yield and resource use efficiency in a semi-arid region. Field Crops Res, 2019,233:101-113.
doi: 10.1016/j.fcr.2019.01.002
[12] 王星垚, 李援农, 银敏华, 徐袁博, 任全茂, 徐路全. 不同地膜对土壤水热状况和冬小麦植株氮素的影响. 节水灌溉, 2018, (2):40-46.
Wang X Y, Li Y N, Yin M H, Xu Y B, Ren Q M, Xu L Q. Effects of different mulch films on soil hydrothermal regimes and the plant nitrogen accumulation and translocation of winter wheat. Water Sav Irrig, 2018, (2):40-46 (in Chinese with English abstract).
[13] 李昊, 李世平, 南灵, 李河, 郭清卉. 中国棉花地膜覆盖产量效应的meta分析. 农业机械学报, 2017,48(7):228-235.
Li H, Li S P, Nan L, Li H, Guo Q H. Meta-analysis of effect of plastic film mulching on cotton yield in China. Trans CSAM, 2017,48(7):228-235 (in Chinese with English abstract).
[14] Hou F Y, Dong S X, Xie B T, Zhang H Y, Li A X, Wang Q M. Mulching with plastic film improved the root quality of summer-sown sweet potato (Ipomoea batatas (L.) Lam.) in Northern China. J Integr Agric, 2019,18:982-991.
doi: 10.1016/S2095-3119(18)61994-X
[15] 薛吉全, 张仁和, 李凤艳, 张兴华. 陕西玉米育种现状、问题与对策. 玉米科学, 2008,16(2):144-146.
Xue J Q, Zhang R H, Li F Y, Zhang X H. Current status, problem and strategy of maize breeding in Shananxi Province. J Maize Sci, 2008,16(2):139-141 (in Chinese with English abstract).
[16] Gan Y T, Siddique K H M, Turner N C, Li X G, Niu J Y, Yang C, Liu L P, Chai Q. Ridge-furrow mulching systems-an innovative technique for boosting crop productivity in semiarid rain-fed environments. Adv Agron, 2013,118:429-476.
[17] Hou P, Cui Z L, Bu L D, Yang H S, Zhang F S, Li S K. Evaluation of a modified hybrid-maize model incorporating a newly developed module of plastic film mulching. Crop Sci, 2014,54:2796-2804.
doi: 10.2135/cropsci2013.11.0747
[18] Wang Y J, Xie Z K, Malhi S S, Vera C L, Zhang Y B, Guo Z H. Effects of gravel-sand mulch, plastic mulch and ridge and furrow rainfall harvesting system combinations on water use efficiency, soil temperature and watermelon yield in a semi-arid Loess Plateau of northwestern China. Agric Water Manage, 2011,101:88-92.
doi: 10.1016/j.agwat.2011.09.006
[19] Mo F, Wang J Y, Zhou H, Luo C L, Zhang X F, Li X Y, Li F M, Xiong L B, Kavagi L, Nguluu S N, Xiong Y C. Ridge-furrow plastic-mulching with balanced fertilization in rainfed maize (Zea mays L.): an adaptive management in east African Plateau. Agric For Meteorol, 2017,236:100-112.
doi: 10.1016/j.agrformet.2017.01.014
[20] Mckenzie C L, Lapointe S L, Duncan L W. Landscape fabric as a physical barrier to neonate Diaprepes abbreviatus (Coleoptera: Curculionidae). Flor Entomol, 2001,84:721-722.
[21] Wang C B, Wang H, Zhao X M, Chen B H, Wang F L. Mulching affects photosynthetic and chlorophyll a fluorescence characteristics during stage III of peach fruit growth on the no mulching semiarid Loess Plateau of China. Sci Hortic (Amsterdam), 2015,194:246-254.
doi: 10.1016/j.scienta.2015.08.012
[22] Hou F Y, Zhang L M, Xie B T, Dong S X, Zhang H Y, Li A X, Wang Q M. Effect of plastic mulching on the photosynthetic capacity, endogenous hormones and root yield of summer-sown sweet potato (Ipomoea batatas (L.) Lam.) in Northern China. Acta Physiol Plant, 2015,37:1-10.
doi: 10.1007/s11738-014-1746-y
[23] Ali S, Xu Y Y, Jia Q M, Ahmad I, Ma X C, Henchiri M, Ren X L, Zhang P, Cai T, Zhang J H, Jia Z K. Ridge-furrow mulched with plastic film improves the anti-oxidative defence system and photosynthesis in leaves of winter wheat under deficit irrigation. PLoS One, 2018,13:e0200277.
doi: 10.1371/journal.pone.0200277
[24] Ali S, Xu Y Y, Jia Q M, Ma X C, Ahmad I, Adnan M, Gerard R, Ren X L, Zhang P, Cai T, Zhang J H, Jia Z K. Interactive effects of plastic film mulching with supplemental irrigation on winter wheat photosynthesis, chlorophyll fluorescence and yield under simulated precipitation conditions. Agric Water Manage, 2018,207:1-14.
doi: 10.1016/j.agwat.2018.05.013
[25] Riedelsheimer C, Lisec J, Czedik-Eysenberg A, Sulpice R, Flis A, Grieder C, Altmann T, Stitt M, Willmitzer L, Melchinger A E. Genome-wide association mapping of leaf metabolic profiles for dissecting complex traits in maize. Proc Natl Acad Sci USA, 2012,109:8872-8877.
doi: 10.1073/pnas.1120813109
[26] Witt S, Galicia L, Lisec J, Cairns J, Tiessen A, Araus J L, Palacios-Rojas N, Fernie A R. Metabolic and phenotypic responses of greenhouse-grown maize hybrids to experimentally controlled drought stress. Mol Plant, 2012,5:401-417.
doi: 10.1093/mp/ssr102
[27] Degenkolbe T, Do P T, Kopka J, Zuther E, Hincha D K, Köhl K I. Identification of drought tolerance markers in a diverse population of rice cultivars by expression and metabolite profiling. PLoS One, 2013,8:e63637.
doi: 10.1371/journal.pone.0063637
[28] Hill C B, Taylor J D, Edwards J, Mather D, Langridge P, Bacic A, Roessner U. Detection of QTL for metabolic and agronomic traits in wheat with adjustments for variation at genetic loci that affect plant phenology. Plant Sci, 2015,233:143-154.
doi: 10.1016/j.plantsci.2015.01.008
[29] Jones R J, Simmon S R. Effect of altered source-sink ratio on growth of maize kernels. Crop Sci, 1983,23:129-134.
doi: 10.2135/cropsci1983.0011183X002300010038x
[30] Tollenaar M, Lee E A. Dissection of physiological processes underlying grain yield in maize by examining genetic improvement and heterosis. Maydica, 2006,51:399-408.
[31] Osakabe Y, Yamaguchi-Shinozaki K, Shinozaki K, Tran L P. ABA control of plant macroelement membrane transport systems in response to water deficit and high salinity. New Phytol, 2014,202:35-49.
doi: 10.1111/nph.2014.202.issue-1
[32] Niu L, Yan Y, Hou P, Bai W, Zhao R, Wang Y, Li S, Du T, Zhao M, Song J, Zhou W. Influence of plastic film mulching and planting density on yield, leaf anatomy, and root characteristics of maize on the Loess Plateau. Crop J, 2020,8:548-564.
doi: 10.1016/j.cj.2019.12.002
[33] Ren B Z, Liu W, Zhang J W, Dong S T, Liu P, Zhao B. Effects of plant density on the photosynthetic and chloroplast characteristics of maize under high-yielding conditions. Sci Nat-Heidelberg, 2017,104:12.
[34] 明博, 谢瑞芝, 侯鹏, 李璐璐, 王克如, 李少昆. 2005-2016年中国玉米种植密度变化分析. 中国农业科学, 2017,50:1960-1972.
Ming B, Xie R Z, Hou P, Li L L, Wang K R, Li S K. Changes of maize planting density in China. 2017,50:1960-1972 (in Chinese with English abstract).
[35] Glaubitz U, Erban A, Kopka J, Hincha D K, Zuther E. High night temperature strongly impacts TCA cycle, amino acid and polyamine biosynthetic pathways in rice in a sensitivity-dependent manner. J Exp Bot, 2015,66:6385-6397.
doi: 10.1093/jxb/erv352
[36] Kopka J, Schauer N, Krueger S, Birkemeyer C, Usadel B, Bergmuller E, Dormann P, Weckwerth W, Gibon Y, Stitt M, Willmitzer L, Fernie A R, Steinhauser D. GMD@CSB.DB: the golm metabolome database. Bioinformatics, 2005,21:1635-1638.
doi: 10.1093/bioinformatics/bti236
[37] Hummel J, Strehmel N, Selbig J, Walther D, Kopka J. Decision tree supported substructure prediction of metabolites from GC-MS profiles. Metabolomics, 2010,6:322-333.
pmid: 20526350
[38] Jannink J L, Lorenz A J, Iwata H. Genomic selection in plant breeding: from theory to practice. Brief Funct Genom, 2010,9:166-177.
doi: 10.1093/bfgp/elq001
[39] Obata T, Fernie A R. The use of metabolomics to dissect plant responses to abiotic stresses. Cell Mol Life Sci, 2012,69:3225-3243.
doi: 10.1007/s00018-012-1091-5
[40] Stewart G R, Larher F. Accumulation of Amino Acids and Related Compounds in Relation to Environmental Stress. In: Miflin B J, eds. Amino Acids and Derivatives. New York: Academic Press, 2001. pp 609-635.
[41] Good A G, Zaplachinski S T. The effects of drought stress on free amino acid accumulation and protein synthesis in Brasska napus. Physiol Plant, 1994,90:9-14.
[42] Huang T F, Jander G. Abscisic acid-regulated protein degradation causes osmotic stress-induced accumulation of branched-chain amino acids in Arabidopsis thaliana. Planta, 2017,246:737-747.
doi: 10.1007/s00425-017-2727-3
[43] Rai V K. Role of amino acids in plant responses to stresses. Biol Plant, 2002,45:481-487.
doi: 10.1023/A:1022308229759
[44] Bauwe H, Hagemann M, Kern R, Timm S. Photorespiration has a dual origin and manifold links to central metabolism. Curr Opin Plant Biol, 2012,15:269-275.
doi: 10.1016/j.pbi.2012.01.008
[45] 秦岭, 陈二影, 张艳亭, 杨延兵, 孔清华, 张华文, 王海莲, 王润丰, 管延安, 阮颖. 干旱及复水对谷子脯氨酸积累和SiP5CR基因表达的影响. 分子植物育种, 2018,16:7460-7465.
Qin L, Chen E Y, Zhang Y T, Yang Y B, Kong Q H, Zhang H W, Wang H L, Wang R F, Guan Y A, Ruan Y. Effects of drought and rehydration on proline accumulation and SiP5CR gene expression from foxtail millet (Setaria italica (L.) Beauv). Mol Plant Breed, 2018,16:7460-7465 (in Chinese with English abstract).
[46] Filippou P, Antoniou C, Fotopoulos V. The nitric oxide donor sodium nitroprusside regulates polyamine and proline metabolism in leaves of Medicago truncatula plants. Free Rad Bio Med, 2013,56:172-183.
doi: 10.1016/j.freeradbiomed.2012.09.037
[47] Joshi V, Joung J, Fei Z J, Jander G. Interdependence of threonine, methionine and isoleucine metabolism in plants: accumulation and transcriptional regulation under abiotic stress. Amino Acids, 2010,39:933-947.
doi: 10.1007/s00726-010-0505-7
[48] Araújo W L, Tohge T, Ishizaki K, Leaver C J, Fernie A R. Protein degradationan: an alternative respiratory substrate for stressed plants. Trends Plant Sci, 2011,16:489-498.
[49] Fait A, Fromm H, Walter D, Galili G, Fernie A R. Highway or byway: the metabolic role of the GABA shunt in plants. Trends Plant Sci, 2008,13:14-19.
doi: 10.1016/j.tplants.2007.10.005
[50] Yadav A K, Carroll A J, Estavillo G M, Rebetzke G J, Pogson B J. Wheat drought tolerance in the field is predicted by amino acid responses to glasshouse-imposed drought. J Exp Bot, 2019,70:4931-4948.
doi: 10.1093/jxb/erz224
[51] Ravanel S, Gakiere B, Job D, Douce R. The specific features of methionine biosynthesis and metabolism in plants. Proc Natl Acad Sci USA, 1998,95:7805-7812.
doi: 10.1073/pnas.95.13.7805
[52] Bryan J K. Differential regulation of maize homoserine dehydrogenase under physiological conditions. Plant Physiol, 1990,92:785-791.
pmid: 16667350
[53] Lamari N, Zhendre V, Urrutia M, Bernillon S, Maucourt M, Deborde C, Prodhomme D, Jacob D, Ballias P, Rolin D, Sellier H, Rabier D, Gibon Y, Giauffret C, Moing A. Metabotyping of 30 maize hybrids under early-sowing conditions reveals potential marker-metabolites for breeding. Metabolomics, 2018,14:132.
doi: 10.1007/s11306-018-1427-8 pmid: 30830438
[54] Obata T, Witt S, Lisec J, Palacios-Rojas N, Florez-Sarasa I, Araus J L, Cairns J E, Yousfi S, Fernie A R. Metabolite profiles of maize leaves in drought, heat and combined stress field trials reveal the relationship between metabolism and grain yield. Plant Physiol, 2015,169:2665-2683.
[55] Mahal H S, Mukherjee T. Scavenging of reactive oxygen radicals by resveratrol: antioxidant effect. Res Chem Intermed, 2006,32:59-71.
doi: 10.1163/156856706775012941
[56] Islam M T, Ali E S, Uddin S J, Shaw S, Islam M A, Ahmed M I, Chandra Shill M, Karmakar U K, Yarla N S, Khan I N, Billah M M, Pieczynska M D, Zengin G, Malainer C, Nicoletti F, Gulei D, Berindan-Neagoe I, Apostolov A, Banach M, Yeung A W K, El-Demerdash A, Xiao J, Dey P, Yele S, Jóźwik A, Strzałkowska N, Marchewka J, Rengasamy K R R, Horbańczuk J, Kamal M A, Mubarak M S, Mishra S K, Shilpi J A, Atanasov A G. Phytol: a review of biomedical activities. Food Chem Toxicol, 2018,121:82-94.
doi: 10.1016/j.fct.2018.08.032
[57] Eastmond P J. Glycerol-insensitive Arabidopsis mutants: gli1 seedlings lack glycerol kinase, accumulate glycerol and are more resistant to abiotic stress. Plant J, 2004,37:617-625.
pmid: 14756771
[1] Hu Chuan, Zhao Kai-Nan, Huang Xiu-Li, Wu Jin-Zhi, Ren Kai-Ming, Wang He-Zheng, Fu Guo-Zhan, Huang Ming, Li You-Jun. Effects of tillage methods and nitrogen rates on yield and quality of dryland wheat under one-off irrigation [J]. Acta Agronomica Sinica, 2026, 52(6): 1830-1846.
[2] Liang Jin-Yu, Yin Jia-De, Wang Hong-Li, Zhang Guo-Ping, Hou Hui-Zhi, Dong Bo, Ma Ming-Sheng. Estimation of leaf nitrogen content in dryland forage maize using UAV-based hyperspectral imaging and machine learning [J]. Acta Agronomica Sinica, 2026, 52(6): 1788-1801.
[3] Jin Yu-He, Wang Xue-Fei, Xu Zhang-Yi-Wa, Miao Yi-Ning, Jiang Yun-Jie, Yi Ying, Miao De-Lin, Zhu Jing-Yi, Zhong Yi-Fan, Chen Ming-Heng, Fang Fang, Liu Peng. Effects of exogenous hormones on chlorophyll fluorescence parameters and the antioxidant enzyme system in soybean leaves under low-temperature stress [J]. Acta Agronomica Sinica, 2026, 52(6): 1817-1829.
[4] Ma Sheng-Qian, Wang Zhi-Ping, Chen Hao-Tian, Dou Shu-Xian, Zhang Yan, Deng Ai-Xing, Zhang Wei-Jian, Yuan Xiang-Yang, Song Zhen-Wei. Effects of tillage methods and nitrogen application rate on maize yield and soil aggregates in northeastern China under straw returning [J]. Acta Agronomica Sinica, 2026, 52(6): 1802-1816.
[5] Zhao Jia-Xue, Zhou Long-Hao, Guo Qi-Yuan, Shang Lun-Xiao, Wang Han, Liu Zhi-Tao, Chen Xi, Zhang Xiao-Pei, Song Xian-Liang, Ahmedov Miraziz Baltaevich, Mao Li-Li. Long-term stubble return and subsoiling enhance cotton yields in coastal saline-alkali soils by improving soil conditions and photosynthetic characteristics [J]. Acta Agronomica Sinica, 2026, 52(5): 1548-1560.
[6] Yang Yang, Chang Shi-Hui, Tian Hong-Li, Yi Hong-Mei, Wang Lu, Ren Jie, Fan Ya-Ming, Liu Ya-Wei, Wang Feng-Ge, Zhao Jiu-Ran. Genetic diversity analysis of nationally approved maize varieties in different ecological regions [J]. Acta Agronomica Sinica, 2026, 52(5): 1352-1364.
[7] Sun Shu-Feng, Xu Zhen-Nan, Huang Jia-Xin, Weng Jian-Feng, Li Xin-Hai. Genome-wide identification of the maize MAPK gene family and its response to Fusarium verticillioides infection [J]. Acta Agronomica Sinica, 2026, 52(5): 1291-1308.
[8] Zhang Si-Si, Zhao Xiang-Hui, Zhou Yang, Yao Yun-Feng, Zhu Rong-Yu, Dong Yuan-Jie, Hu Guo-Qing, Xu Tong, Liu Zhao-Xin. Effects of plowing and green manure returning in winter fallow period on soil physicochemical properties and yield in continuously cropped peanut [J]. Acta Agronomica Sinica, 2026, 52(5): 1472-1486.
[9] Zhang Ning-Ning, Teng Yu-Fei, Ren Na-Na, Wei Xing-Zhuo, Yan Shu-Hao, Fan Ke-Xin, Wang Yong-Hong, Chen Wen-Kang, Zhang Xing-Hua, Zhu Wan-Chao, Xu Shu-Tu, Xue Ji-Quan. Phenotypic evaluation and plasticity analysis of drought resistance in 201 maize inbred lines [J]. Acta Agronomica Sinica, 2026, 52(5): 1309-1325.
[10] Xu Miao-Miao, Di Tai-Mei, Wang Jie, Wu Ye-Die, Liu En-Bei, Wang Yu-Chun, Wang Xin-Chao, Wang Lu. Molecular mechanisms of exogenous quercetin in enhancing cold resistance in tea plants [J]. Acta Agronomica Sinica, 2026, 52(5): 1418-1429.
[11] Zhang Hong-Rong, Wang Fei-Er, Li Pan, Qiu Hai-Long, Zhu Jing, Zhao Lian-Hao, Nan Yun-You, He Wei, Fan Zhi-Long, Hu Fa-Long, Chai Qiang, Yin Wen. Photosynthetic characteristics of 20% reduced irrigation combined with 25% organic substitution for chemical fertilizer in increasing silage maize yield [J]. Acta Agronomica Sinica, 2026, 52(5): 1487-1500.
[12] Wang Yu-Cheng, Zhang Lu, Liu A-Kang, Huang Jian-Liang, Peng Shao-Bing, Yuan Shen. Strategies and prospects for large-scale crop yield improvement based on yield gap [J]. Acta Agronomica Sinica, 2026, 52(5): 1279-1290.
[13] Guo Xing-Yu, Hu Dan, Lin Su-Qi, Wang Meng-Kai, Tan Wen-Feng, Huang Chuan-Qin. Biochar combined with chemical fertilizer increases maize yield and soil ecosystem multifunctionality in an intercropped maize-soybean [J]. Acta Agronomica Sinica, 2026, 52(5): 1536-1547.
[14] Yang Xin-Yu, Cui Wen-Tao, Dilinigeer Alimu, Wang Kai-Xiang, Wu Peng-Hao, Ren Jiao-Jiao. Genome-wide association and genomic selection analysis of the number of leaves above the ear in maize [J]. Acta Agronomica Sinica, 2026, 52(5): 1573-1590.
[15] Han Ya-Xin, He Guan-Hua, Zhang Xiao-Qiong, Zhang Deng-Feng, Li Yong-Xiang, Liu Xu-Yang, Wang Tian-Yu, Li Yu, Zou Hua-Wen, Li Chun-Hui. Identification of maize lateral root density genes resources through integrated RNA-seq and BSA-seq analyses [J]. Acta Agronomica Sinica, 2026, 52(5): 1341-1352.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Add: No. 80 Xueyuan South Rd, Beijing 100081, P. R. China E-mail: zwxb301@caas.cn
Supported by Beijing Magtech Co.Ltd