Acta Agronomica Sinica ›› 2022, Vol. 48 ›› Issue (7): 1746-1760.doi: 10.3724/SP.J.1006.2022.11053
• TILLAGE & CULTIVATION·PHYSIOLOGY & BIOCHEMISTRY • Previous Articles Next Articles
ZHANG Shao-Hua1(), DUAN Jian-Zhao1,2, HE Li1, JING Yu-Hang1, Urs Christoph Schulthess2,*(
), Azam Lashkari1,2, GUO Tian-Cai1, WANG Yong-Hua1, FENG Wei1,*(
)
[1] |
He L, Asseng S, Zhao G, Wu D R, Yang X Y, Zhuang W, Jin N, Yu Q. Impacts of recent climate warming, cultivar changes, and crop management on winter wheat phenology across the Loess Plateau of China. Agric Forest Meteorol, 2015, 200: 135-143.
doi: 10.1016/j.agrformet.2014.09.011 |
[2] |
Mueller N, Gerber J S, Johnston M, Ray D K, Ramankutty N, Foley J A. Closing yield gaps through nutrient and water management. Nature, 2012, 490: 254-257.
doi: 10.1038/nature11420 |
[3] | 杨绚, 汤绪, 陈葆德, 田展, 赵思健. 利用CMIP5多模式集合模拟气候变化对中国小麦产量的影响. 中国农业科学, 2014, 47: 3009-3024. |
Yang X, Tang X, Chen B D, Tian Z, Zhao S J. Impacts of climate change on wheat yield in China simulated by CMIP5 multi-model ensemble projections. Sci Agric Sin, 2014, 47: 3009-3024. (in Chinese with English abstract) | |
[4] |
Reshef I B, Vermote E, Lindeman M, Justice C. A generalized regression-based model for forecasting winter wheat yields in Kansas and Ukraine using MODIS data. Remote Sens Environ, 2010, 114: 1312-1323.
doi: 10.1016/j.rse.2010.01.010 |
[5] |
Zaman-Allah M, Vergara O, Araus J L, Tarekegne A, Magorokosho C, Zarco-Tejada P J, Hornero A, Albà A H, Das B, Craufurd P, Olsen M, Prasanna B M, Cairns J. Unmanned aerial platform-based multi-spectral imaging for field phenotyping of maize. Plant Methods, 2015, 11: 35.
doi: 10.1186/s13007-015-0078-2 pmid: 26106438 |
[6] |
Wang L G, Tian Y G, Yao X, Zhu Y, Cao W X. Predicting grain yield and protein content in wheat by fusing multisensory and multi-temporal remote-sensing images. Field Crops Res, 2014, 164: 178-188.
doi: 10.1016/j.fcr.2014.05.001 |
[7] | 纪景纯, 赵原, 邹晓娟, 宣可凡, 王伟鹏, 刘建立, 李晓鹏. 无人机遥感在农田信息监测中的应用进展. 土壤学报, 2019, 56: 773-784. |
Ji J C, Zhao Y, Zou X J, Xuan K F, Wang W P, Liu J L, Li X P. Advancement in application of UAV remote sensing to monitoring of farmlands. Acta Pedol Sin, 2019, 56: 773-784. (in Chinese with English abstract) | |
[8] | 胡健波, 张健. 无人机遥感在生态学中的应用进展. 生态学报, 2018, 38: 20-30. |
Hu J B, Zhang J. Unmanned aerial vehicle remote sensing in ecology: advances and prospects. Acta Ecol Sin, 2018, 38: 20-30. (in Chinese with English abstract) | |
[9] | 孙刚, 黄文江, 陈鹏飞, 高帅, 王秀. 轻小型无人机多光谱遥感技术应用进展. 农业机械学报, 2018, 49(3): 1-17. |
Sun G, Huang W J, Chen P F, Gao S, Wang X. Advances in UAV-based multispectral remote sensing applications. Trans CSAM, 2018, 49(3): 1-17. (in Chinese with English abstract) | |
[10] | 裴浩杰, 冯海宽, 李长春, 金秀良, 李振海, 杨贵军. 基于综合指标的冬小麦长势无人机遥感监测. 农业工程学报, 2017, 33(20): 74-82. |
Pei H J, Feng H K, Li C C, Jin X L, Li Z H, Yang Z J. Remote sensing monitoring of winter wheat growth with UAV based on comprehensive index. Trans CSAE, 2017, 33(20): 74-82. (in Chinese with English abstract) | |
[11] |
Navarro A, Young M, Allan B, Carnell P, Macreadie P, Ierodiaconou D. The application of unmanned aerial vehicles (UAVs) to estimate aboveground biomass of mangrove ecosystems. Remote Sens Environ, 2020, 242: 111747.
doi: 10.1016/j.rse.2020.111747 |
[12] |
Zhang C H, Kovacs J M. The application of small unmanned aerial systems for precision agriculture: a review. Precis Agric, 2012, 13: 693-712.
doi: 10.1007/s11119-012-9274-5 |
[13] | 朱婉雪, 李仕冀, 张旭博, 李洋, 孙志刚. 基于无人机遥感植被指数优选的田块尺度冬小麦估产. 农业工程学报, 2018, 34(11): 78-86. |
Zhu W X, Li S J, Zhang X B, Li Y, Sun Z G. Estimation of winter wheat yield using optimal vegetation indices from unmanned aerial vehicle remote sensing. Trans CSAE, 2018, 34(11): 78-86. (in Chinese with English abstract) | |
[14] | 程千, 徐洪刚, 曹引波, 段福义, 陈震. 基于无人机多时相植被指数的冬小麦产量估测. 农业机械学报, 2021, 52(3): 160-167. |
Cheng Q, Xu H G, Cao Y B, Duan F Y, Chen Z. Grain yield prediction of winter wheat using multi-temporal UAV based multispectral vegetation index. Trans CSAM, 2021, 52(3): 160-167. (in Chinese with English abstract) | |
[15] | 刘畅, 杨贵军, 李振海, 汤伏全, 王建雯, 张春兰, 张丽妍. 融合无人机光谱信息与纹理信息的冬小麦生物量估测. 中国农业科学, 2018, 51: 3060-3073. |
Liu C, Yang G J, Li Z H, Tang F Q, Wang J W, Zhang C L, Zhang L Y. Biomass estimation in winter wheat by UAV spectral information and texture information fusion. Sci Agric Sin, 2018, 51: 3060-3073. (in Chinese with English abstract) | |
[16] |
Fu Y Y, Yang G J, Song X Y, Li Z H, Xu X G, Feng H K, Zhao C J. Improved estimation of winter wheat aboveground biomass using multiscale textures extracted from UAV-based digital images and hyperspectral feature analysis. Remote Sens, 2021, 13: 581.
doi: 10.3390/rs13040581 |
[17] |
Elsayed S, Elhoweity M, Ibrahim H H, Dewir Y H, Migdadi H M, Schmidhalter U. Thermal imaging and passive reflectance sensing to estimate the water status and grain yield of wheat under different irrigation regimes. Agric Water Manage, 2017, 189: 98-110.
doi: 10.1016/j.agwat.2017.05.001 |
[18] |
Rischbeck P, Elsayed S, Mistele B, Barmeier G, Heil K, Schmidhalter U. Data fusion of spectral, thermal and canopy height parameters for improved yield prediction of drought stressed spring barley. Eur J Agron, 2016, 78: 44-59.
doi: 10.1016/j.eja.2016.04.013 |
[19] |
Maimaitijiang M, Sagan V, Sidike P, Hartling S, Esposito F, Fritschi F B. Soybean yield prediction from UAV using multimodal data fusion and deep learning. Remote Sens Environ, 2020, 237: 111599.
doi: 10.1016/j.rse.2019.111599 |
[20] | Riihimäki H, Heiskanen J, Luoto M. The effect of topography on arctic-alpine aboveground biomass and NDVI patterns. Int J Appl Earth Obs, 2017, 56: 44-53. |
[21] |
Nie X D, Guo W, Huang B, Zhuo M N, Li D Q, Li Z W, Yuan Z J. Effects of soil properties, topography and landform on the understory biomass of a pine forest in a subtropical hilly region. Catena (Giessen), 2019, 176: 104-111.
doi: 10.1016/j.catena.2019.01.007 |
[22] |
Yang Q Y, Jiang Z C, Li W J, Li H. Prediction of soil organic matter in peak-cluster depression region using kriging and terrain indices. Soil Tillage Res, 2014, 144: 126-132.
doi: 10.1016/j.still.2014.07.011 |
[23] | 张新乐, 徐梦园, 刘焕军, 孟令华, 邱政超, 潘越, 谢雅慧. 引入地形因子的黑土区大豆干生物量遥感反演模型及验证. 农业工程学报, 2017, 33(16): 168-173. |
Zhang X L, Xu M Y, Liu H J, Meng L H, Qiu Z C, Pan Y, Xie Y H. Remote sensing inversion models and validation of aboveground biomass in soybean with introduction of terrain factors in black soil area. Trans CSAE, 2017, 33(16): 168-173. (in Chinese with English abstract) | |
[24] | 侯淑涛, 崔杨, 孟令华, 武丹茜, 钱蕾, 鲍依临, 叶强, 刘焕军. 地形对漫川漫岗黑土区大豆产量的影响. 农业工程学报, 2020, 36(8): 88-95. |
Hou S T, Cui Y, Meng L H, Wu D Q, Qian L, Bao Y L, Ye Q, Liu H J. Effects of terrain on soybean yields in rolling hilly black soil areas. Trans CSAE, 2020, 36(8): 88-95. (in Chinese with English abstract) | |
[25] |
Qi J, Kerr Y, Moran M, Weltz M, Huete A, Sorooshian S, Bryant R. Leaf area index estimates using remotely sensed data and BRDF models in a semiarid region. Remote Sens Environ, 2000, 73: 18-30.
doi: 10.1016/S0034-4257(99)00113-3 |
[26] |
Anatoly A G, Mark N M. Remote sensing of chlorophyll concentration in higher plant leaves. Adv Space Res, 1998, 22: 689-692.
doi: 10.1016/S0273-1177(97)01133-2 |
[27] |
Jiang Z, Huete A R, Didan K, Miurab T. Development of a two-band enhanced vegetation index without a blue band. Remote Sense Environ, 2008, 112: 3833-3845.
doi: 10.1016/j.rse.2008.06.006 |
[28] |
Geneviève R, Michael S, Frédéric B, Optimization of soil-adjusted vegetation indices. Remote Sense Environ, 1996, 55: 95-107.
doi: 10.1016/0034-4257(95)00186-7 |
[29] |
Huete A R. Soil-adjust vegetation index (SAVI). Remote Sense Environ, 1988, 25: 295-309.
doi: 10.1016/0034-4257(88)90106-X |
[30] |
Githlson A, Merzlyak M N. Spectral reflectance changes associated with autumn senescence of Aesculus hippocastanum L. and Acer platanoides L. leaves. Spectral features and relation to chlorophyll estimation. J Plant Physiol, 1994, 143: 286-292.
doi: 10.1016/S0176-1617(11)81633-0 |
[31] | Gitelson A A. Wide dynamic range vegetation index for remote quantification of biophysical characteristics of vegetation. J Plant Physiol, 2004, 161: 165-173. |
[32] |
Chen J M. Evaluation of vegetation indices and a modified simple ratio for boreal applications. Can J Remote Sens, 2014, 22: 229-242.
doi: 10.1080/07038992.1996.10855178 |
[33] |
Daughtry C S T, Walthall C L, Kim M S, Colstoun E B D, McMurtrey J E. Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance. Remote Sense Environ, 2000, 74: 229-239.
doi: 10.1016/S0034-4257(00)00113-9 |
[34] |
Tucker C J. Red and photographic infrared linear combinations for monitoring vegetation. Remote Sense Environ, 1979, 8: 127-150.
doi: 10.1016/0034-4257(79)90013-0 |
[35] |
Elsayed S, Rischbeck P, Schmidhalter U. Comparing the performance of active and passive reflectance sensors to assess the normalized relative canopy temperature and grain yield of drought-stressed barley cultivars. Field Crops Res, 2015, 177: 148-160.
doi: 10.1016/j.fcr.2015.03.010 |
[36] |
Purushothaman R, Thudi M, Krishnamurthy L, Upadhyayaa H D, Kashiwagib J, Gowdaa C L L, Varshney R K. Association of mid-reproductive stage canopy temperature depression with the molecular markers and grain yields of chickpea (Cicer arietinum L.) germplasm under terminal drought. Field Crops Res, 2015, 174: 1-11.
doi: 10.1016/j.fcr.2015.01.007 |
[37] |
Valtera M, Šamonil, Svoboda M, Janda P. Effects of topography and forest stand dynamics on soil morphology in three natural Picea abies mountain forests. Plant Soil, 2015, 392: 57-69.
doi: 10.1007/s11104-015-2442-4 |
[38] | 马雨阳, 官海翔, 杨昊轩, 邵帅, 邵逸群, 刘焕军. 利用地形、 土壤和作物信息辅助提高东北漫岗地数字高程模型精度的新方法. 中国农业科学, 2021, 54: 1715-1727. |
Ma Y Y, Guan H X, Yang H X, Shao S, Shao Y Q, Liu H J. A new method to improve the accuracy of digital elevation model in northeast China by using terrain, soil and crop Information. Sci Agric Sin, 2021, 54: 1715-1727 (in Chinese with English abstract). | |
[39] | 朱高龙, 柳艺博, 居为民, 陈镜明. 4种常用植被指数的地形效应评估. 遥感学报, 2013, 17: 210-234. |
Zhu G L, Liu Y B, Ju W M, Chen J M. Evaluation of topographic effects on four commonly used vegetation indices. J Remote Sens, 2013, 17: 210-234. (in Chinese with English abstract) | |
[40] | 刘海丰, 薛达元, 桑卫国. 地形因子对暖温带森林群落物种丰富度-地上生物量关系的影响. 生态环境学报, 2012, 21: 1403-1407. |
Liu H F, Xue D Y, Sang W G. Effect of topographic factors on the relationship between species richness and aboveground biomass in a warm temperate forest. Ecol Environ Sci, 2012, 21: 1403-1407. (in Chinese with English abstract) | |
[41] |
Takyu M, Aiba S I, Kitayama K. Changes in biomass, productivity and decomposition along topographical gradients under different geological conditions in tropical lower montane forests on mount Kinabalu, Borneo. Oecologia, 2003, 134: 397-404.
doi: 10.1007/s00442-002-1115-1 |
[42] | 杨仕曦, 吕广斌, 黄云, 向华辉, 王正银. 九龙坡花椒种植区地形、土壤肥力与花椒产量的关系. 中国生态农业学报, 2019, 27: 1823-1832. |
Yang S X, Lyu G B, Huang Y, Xiang H H, Wang Z Y. Relationships of Zanthoxylum bungeanum yield with topography and soil fertility in Jiulongpo area. Chin J Eco-Agric, 2019, 27: 1823-1832. (in Chinese with English abstract) | |
[43] | Kross A, Mcnairn H, Lapen D, Sunohara M, Champagne C. Assessment of rapid eye vegetation indices for estimation of leaf area index and biomass in corn and soybean crops. Int J Appl Earth Obs, 2015, 34: 235-248. |
[44] |
Guo J X, Tian G L, Zhou Y, Wang M, Ling N, Shen Q R, Guo S W. Evaluation of the grain yield and nitrogen nutrient status of wheat (Triticum aestivum L.) using thermal imaging. Field Crops Res, 2016, 196: 463-472.
doi: 10.1016/j.fcr.2016.08.008 |
[45] |
Hou A, Chen P, Alloatti J, Li D, Mozzoni L, Zhang B, Shi A. Genetic variability of seed sugar content in worldwide soybean germplasm ppubs. Crop Sci, 2009, 49: 903-912.
doi: 10.2135/cropsci2008.05.0256 |
[46] |
Virlet N, Lebourgeois V, Martinez S, Costes E, Labbe S, Regnard J L. Stress indicators based on airborne thermal imagery for field phenotyping a heterogeneous tree population for response to water constraints. J Exp Bot, 2014, 65: 5429-5442.
doi: 10.1093/jxb/eru309 |
[47] | Du W Y., Zhang L D, Hu Z F, Shamaila Z, Zeng A J, Song J L, Liu Y J, Wolfram S, Joachim M, He X K. Utilization of thermal infrared image for inversion of winter wheat yield and biomass. Spectr Spectr Anal, 2011, 31: 1476-1480. |
[48] |
González F G, Miralles D J, Slafer G A. Wheat floret survival as related to pre-anthesis spike growth. J Exp Bot, 2011, 62: 4889-4901.
doi: 10.1093/jxb/err182 |
[49] |
Laurent A, Loyce C, Makowski D, Pelzer E. Using site-specific data to estimate energy crop yield. Environ Modell Softw, 2015, 74: 104-113.
doi: 10.1016/j.envsoft.2015.09.008 |
[50] |
Yue J B, Yang G J, Li C C, Li Z H, Wang Y J, Feng H K, Xu B. Estimation of winter wheat above-ground biomass using unmanned aerial vehicle-based snapshot hyperspectral sensor and crop height improved models. Remote Sens, 2017, 9: 708.
doi: 10.3390/rs9070708 |
[51] | 陶惠林, 徐良骥, 冯海宽, 杨贵军, 杨小冬, 苗梦珂, 代阳. 基于无人机数码影像的冬小麦株高和生物量估算. 农业工程学报, 2019, 35(19): 107-116. |
Tao H L, Xu L J, Feng H K, Yang G J, Yang X D, Miao M K, Dai Y. Estimation of plant height and biomass of winter wheat based on UAV digital image. Trans CSAE, 2019, 35(19): 107-116. (in Chinese with English abstract) | |
[52] | 潘治利, 祁萌, 魏春阳, 李锋, 张仕祥, 王建伟, 过伟民, 艾志录. 基于图像处理和支持向量机的初烤烟叶颜色特征区域分类. 作物学报, 2012, 38: 374-379. |
Pan Z L, Qi M, Wei C Y, Li F, Zhang S X, Wang J W, Guo W M, Ai Z L. Color region classification of flue-cured tobacco leaves based on the image. Acta Agron Sin, 2012, 38: 374-379. (in Chinese with English abstract)
doi: 10.3724/SP.J.1006.2012.00374 |
|
[53] |
Xu J X, Ma J, Tang Y N, Wu W X, Shao J H, Wu W B, Wei S Y, Liu Y F, Wang Y C, Guo H Q. Estimation of sugarcane yield using a machine learning approach based on UAV-LiDAR data. Remote Sens, 2020, 12: 2823.
doi: 10.3390/rs12172823 |
[54] |
Nawar S, Buddenbaum H, Hill J, Kozak J. Modeling and mapping of soil salinity with reflectance spectroscopy and landsat data using two quantitative methods (PLSR and MARS). Remote Sens, 2014, 6: 10813-10834.
doi: 10.3390/rs61110813 |
[55] |
Liu H Z, Shi T Z, Chen Y Y, Wang J J, Fei T, Wu G F. Improving spectral estimation of soil organic carbon content through semi-supervised regression. Remote Sens, 2017, 9: 29.
doi: 10.3390/rs9010029 |
[56] | Aghighi H, Azadbakht M, Ashourloo D, Shahrabi H S, Radiom S.Machine learning regression techniques for the silage maize yield prediction using time-series images of Landsat 8 OLI. IEEE J-Selec Topic Appl Earth Observ Remote Sens, 2018, 11: 4563-4577. |
[57] | 杨北萍, 陈圣波, 于海洋, 安秦. 基于随机森林回归方法的水稻产量遥感估算. 中国农业大学报, 2020, 25(6): 26-34. |
Yang B P, Chen S B, Yu H Y, An Q. Remote sensing estimation of rice yield based on random forest regression method. J China Agric Univ, 2020, 25(6): 26-34 (in Chinese with English abstract). | |
[58] |
Jeong J H, Resop J P, Mueller N D, Fleisher D H, Yun K, Butler E E, Timlin D J, Shim K M, Gerber J S, Reddy V R, Kim S H. Random forests for global and regional crop yield predictions. PLoS One, 2016, 11: e0156571.
doi: 10.1371/journal.pone.0156571 |
[1] | GUO Xing-Yu, LIU Peng-Zhao, WANG Rui, WANG Xiao-Li, LI Jun. Response of winter wheat yield, nitrogen use efficiency and soil nitrogen balance to rainfall types and nitrogen application rate in dryland [J]. Acta Agronomica Sinica, 2022, 48(5): 1262-1272. |
[2] | WANG Yang-Yang, HE Li, REN De-Chao, DUAN Jian-Zhao, HU Xin, LIU Wan-Dai, GU Tian-Cai, WANG Yong-Hua, FENG Wei. Evaluations of winter wheat late frost damage under different water based on principal component-cluster analysis [J]. Acta Agronomica Sinica, 2022, 48(2): 448-462. |
[3] | ZHANG Yu-Xun, QI Tuo-Ye, SUN Yuan, QU Xiang-Ning, CAO Yuan, WU Meng-Yao, LIU Chun-Hong, WANG Lei. Vegetation characteristics of GF-6 remote sensing image and application on LAI retrieval of winter wheat at seedling stage [J]. Acta Agronomica Sinica, 2021, 47(12): 2532-2540. |
[4] | HU Xin-Hui, GU Shu-Bo, ZHU Jun-Ke, WANG Dong. Effects of applying potassium at different growth stages on dry matter accumulation and yield of winter wheat in different soil-texture fields [J]. Acta Agronomica Sinica, 2021, 47(11): 2258-2267. |
[5] | ZHOU Bao-Yuan, GE Jun-Zhu, SUN Xue-Fang, HAN Yu-Ling, MA Wei, DING Zai-Song, LI Cong-Feng, ZHAO Ming. Research advance on optimizing annual distribution of solar and heat resources for double cropping system in the Yellow-Huaihe-Haihe Rivers plain [J]. Acta Agronomica Sinica, 2021, 47(10): 1843-1853. |
[6] | LUO Wen-He, SHI Zu-Jiao, WANG Xu-Min, LI Jun, WANG Rui. Effects of water saving and nitrogen reduction on soil nitrate nitrogen distribution, water and nitrogen use efficiencies of winter wheat [J]. Acta Agronomica Sinica, 2020, 46(6): 924-936. |
[7] | MA Yan-Ming, FENG Zhi-Yu, WANG Wei, ZHANG Sheng-Jun, GUO Ying, NI Zhong-Fu, LIU Jie. Genetic diversity analysis of winter wheat landraces and modern bred varieties in Xinjiang based on agronomic traits [J]. Acta Agronomica Sinica, 2020, 46(12): 1997-2007. |
[8] | MA Yan-Ming, LOU Hong-Yao, CHEN Zhao-Yan, XIAO Jing, XU Lin, NI Zhong-Fu, LIU Jie. Genetic diversity assessment of winter wheat landraces and cultivars in Xinjiang via SNP array analysis [J]. Acta Agronomica Sinica, 2020, 46(10): 1539-1556. |
[9] | ZHANG Li,CHEN Fu,LEI Yong-Deng. Spatial and temporal patterns of drought risk for winter wheat grown in Hebei province in past 60 years [J]. Acta Agronomica Sinica, 2019, 45(9): 1407-1415. |
[10] | WU Ya-Peng,HE Li,WANG Yang-Yang,LIU Bei-Cheng,WANG Yong-Hua,GUO Tian-Cai,FENG Wei. Dynamic model of vegetation indices for biomass and nitrogen accumulation in winter wheat [J]. Acta Agronomica Sinica, 2019, 45(8): 1238-1249. |
[11] | Li-Na JIANG,Jing-Li MA,Bao-Ting FANG,Jian-Hui MA,Chun-Xi LI,Zhi-Min WANG,Bao-Zhen HAO. Effect of lower water and nitrogen supply on grain yield and dry matter remobilization of organs in different layers of winter wheat plant in northern Henan province [J]. Acta Agronomica Sinica, 2019, 45(6): 957-966. |
[12] | Xin-Nan HE,Xiang LIN,Shu-Bo GU,Dong WANG. Effects of supplemental irrigation with micro-sprinkling hoses on soil physical properties, water consumption and grain yield of winter wheat [J]. Acta Agronomica Sinica, 2019, 45(6): 879-892. |
[13] | ZHOU Bao-Yuan,MA Wei,SUN Xue-Fang,DING Zai-Song,LI Cong-Feng,ZHAO Ming. Characteristics of annual climate resource distribution and utilization in high-yielding winter wheat-summer maize double cropping system [J]. Acta Agronomica Sinica, 2019, 45(4): 589-600. |
[14] | ZHANG Jing-Ting,LYU Li-Hua,DONG Zhi-Qiang,ZHANG Li-Hua,YAO Yan-Rong,SHEN Hai-Ping,YAO Hai-Po,JIA Xiu-Ling. Yield-increasing effect of supplementary irrigation at winter wheat flowering and its influencing factors based on water and nitrogen coupling in north China [J]. Acta Agronomica Sinica, 2019, 45(11): 1746-1755. |
[15] | MENG Fan-Yuan,FENG Li-Ping,ZHANG Feng-Yao,ZHANG Yi,WU Lu,WANG Chun-Lei,YAN Jin-Tao,PENG Ming-Xi,MO Zhi-Hong,YU Wei-Dong. Temporal and spatial variations of winter wheat freezing injury in northern winter wheat region [J]. Acta Agronomica Sinica, 2019, 45(10): 1576-1585. |
|