Acta Agron Sin ›› 2014, Vol. 40 ›› Issue (04): 657-666.doi: 10.3724/SP.J.1006.2014.00657
• TILLAGE & CULTIVATION·PHYSIOLOGY & BIOCHEMISTRY • Previous Articles Next Articles
ZHANG Ning1,**,QI Bo1,**,ZHAO Jin-Ming1,ZHANG Xiao-Yan2,WANG Su-Ge2,ZHAO Tuan-Jie1,GAI Jun-Yi1,*
[1]Wilcox J R. World distribution and trade of soybean. In: soybeans: Improvement, Production and Uses, 3rd Edn. Madison: American Society of Agronomy Press, 2004. pp 1–13[2]Clake E J, Wiseman J. Developments in plant breeding for improved nutritional quality of soybean: I. protein and amin acids content. Agric Sci, 2000, 134: 111–124[3]Frideman M, Brandon D L. Nutritional and health benefits of soybean proteins. Agric Food Chem, 2001, 49: 1069–1086[4]Tennakoon S B, Murty V V N, Eiumnoh A. Estimation of cropped area and grain yield of rice using remote sensing data. Int J Remote Sens, 1992, 13: 426–439[5]Trishchenko A P. Effects of spectral response function on surface reflectance and NDVI measured with moderate resolution satellite sensors: extension to AVHRR NOAA-17, 18 and METOP-A. Remote Sens Environ, 2009, 113: 335–341[6]Hansen P M, Schjoerring J K. Reflectance measurement of canopy biomass and nitrogen status in wheat crops using normalized difference vegetation indices and partial least squares regression. Remote Sens Environ, 2003, 86: 542–553[7]Aparicio N, Villegas D, Casadesus J, Araus J L, Royo C. Spectral vegetation indices as nondestructive tools for determining durum wheat yield. Agron J, 2000, 92: 83–91[8]Soenen S A, Peddle D R, Hall R J, Coburn C A, Hall F G. Estimating aboveground forest biomass from canopy reflectance model inversion in mountainous terrain. Remote Sens Environ, 2010, 114: 1325–1337[9]Gianquinto G, Orsini F, Fecondini M, Mezzetti M, Sanbo P, Bona S. A methodological approach for defining spectral indices for assessing tomato nitrogen status and yield. Eur J Agron, 2011, 35: 135–143[10]吴琼, 齐波, 赵团结, 姚鑫锋, 朱艳, 盖钧镒. 高光谱遥感估测大豆冠层生长和籽粒产量的探讨. 作物学报, 2013, 39: 309–318Wu Q, Qi B, Zhao T J, Yao X F, Zhu Y, Gai J Y. A tentative study on utilization of canopy hyperspectral reflectance to estimate canopy growth and seed yield in soybean. Acta Agron Sin, 2013, 39: 309–318 (in Chinese with English abstract)[11]Mkhabela M S, Bullock P, Raj S, Wang S, Yang Y. Crop yield forecasting on the Canadian Prairies using MODIS NDVI data. Agric For Meteorol, 2011, 115: 385–393[12]Hasegawa K, Matsuyama H, Tsuzuki H, Sweda T. Improving the estimation of leaf area index by using remotely sensed NDVI with BRDF signatures. Remote Sens Environ, 2010, 114: 514–519[13]William R R, Gordon V J. Improving nitrogen use efficiency forcereal production. Agron J, 1999, 91: 357–363[14]吴军华, 岳善超, 侯鹏, 孟庆峰, 崔振领, 李雯, 陈新平. 基于主动遥感的冬小麦群体动态监测. 光谱学与光谱分析, 2011, 31: 535–538Wu J H, Yue S C, Hou P, Meng Q F, Cui Z L, Li W, Chen X P. Monitoring winter wheat population dynamics using an activecrop sensor. Spectrosc Spectr Anal, 2011, 31: 535–538 (in Chinese with English abstract)[15]谭昌伟, 王纪华, 朱新开, 王妍, 王君婵, 童璐, 郭文善. 基于Landsat TM影像的冬小麦拔节期主要长势参数遥感监测. 中国农业科学, 2011, 44: 1358–1366Tan C W, Wang J H, Zhu X K, Wang Y, Wang J C, Tong L, Guo W S. Monitoring main growth status parameters at jointing stage in winter wheat based on Landsat TM images. Sci Agric Sin, 2011, 44: 1358–1366 (in Chinese with English abstract)[16]冯美臣, 肖璐洁, 杨武德, 丁光伟. 基于遥感数据和气象数据的水旱地冬小麦产量估测. 农业工程学报, 2010, 26(11): 183–188Feng M C, Xiao L J, Yang W D, Ding G W. Predicting grain yield of irrigation-land and dry-land winter wheat based on remotesensing data and meteorological data. Trans CSAE, 2010, 26(11): 183–188 (in Chinese with English abstract)[17]Reyniers M, Vrindts E, Baerdemaeker J D. Comparison of an aerialbased system and an on the ground continuous measuring device to predict yield of winter wheat. Eur J Agron, 2006, 24: 87–94[18]Erdle K, Mistele B, Schmidhalter U. Comparison of active and passive spectral sensors in discriminating biomass parameters and nitrogen status in wheat cultivars. Field Crops Res, 2011, 124: 74–84[19]Raun W R, Solie J B, Stone M L, Martin K L, Freeman K W, Mullen R W, Zhang H, Schepers J S, Johnson G V. Optical sensor-based algorithm for crop nitrogen fertilization. Commun Soil Sci Plant Anal, 2005, 36, 2759–2781[20]Thomason W E, Phillips S B, Raymond F D. Defining useful limits for spectral reflectance measures in corn. J Plant Nutr, 2007, 30, 1263–1277[21]Inman D, Khosla R, Reich R M, Westfall, D G. Active remote sensing and grain yield in irrigated maize. Precision Agric, 2007, 8: 241–252[22]Phillips S B, Keahey D A, Warren J G, Mullins G L. Estimating winter wheat tiller density using spectral reflectance sensors for early-spring, Variable-Rate Nitrogen Applications. Agron J, 2004, 96: 591–600[23]Aboelghar M, Arafat S, Saleh A, Naeemb S, Shirbeny M, Belal A. Retrieving leaf area index from SPOT4 satellite data. Egypt J Remote Sens Space Sci, 2010, 13: 121–127[24]王磊, 白由路, 卢艳丽, 王贺, 杨俐苹. 基于GreenSeeker的冬小麦NDVI分析与产量估算. 作物学报, 2012, 38: 747–753Wang L, Bai Y L, Lu Y L, Wang H, Yang L P. NDVI analysis and yield estimation in winter wheat based on GreenSeeker. Acta Agron Sin, 2012, 38: 747–753 (in Chinese with English abstract)[25]Ferrio J P, Villegas D, Zarco J, Aparicio N, Araus J L, Royo C. Assessment of durum wheat yield using visible and near-infrared reflectance spectra of canopies. Field Crops Res, 2005, 94: 126–148[26]Pinter P J, Jackson R D, Idso S B, Reginato R J. Multidate spectral reflectance as predictors of yield in water stressed wheat and barley. Int J Remote Sens, 1981, 2: 43–48[27]Mahey R K, Singh R, Sidhu S S, Narang R S. The use of remote sensing to assess the effects of water stress on wheat. Exp Agric, 1991, 27: 423–429[28]Lukina E V, Freeman K W, Wynn K J, Thomason W E, Mullen R W, Stone M L, Solie J B, Klatt A R, Johnson G V, Elliott R L, Raun W R. Nitrogen fertilization optimization algorithm based on in-season estimates of yield and plant nitrogen uptake. J Plant Nutr, 2001, 24: 885–898[29]Raun W R, Johnson G V, Stone M L, Solie J B, Lukina E V, Thomason W E, Schepers J S. In-season prediction of potential grain yield in winter wheat using canopy reflectance. Agron J, 2001, 93: 131–138[30]Hansen P M, Jorgensen J R, Thomsen A. Predicting grain yield and protein content in winter wheat and spring barley using repeated canopy reflectance measurements and partial least squares regression. J Agric Sci, 2002, 139: 307–318 |
[1] | CHEN Ling-Ling, LI Zhan, LIU Ting-Xuan, GU Yong-Zhe, SONG Jian, WANG Jun, QIU Li-Juan. Genome wide association analysis of petiole angle based on 783 soybean resources (Glycine max L.) [J]. Acta Agronomica Sinica, 2022, 48(6): 1333-1345. |
[2] | WANG Dan, ZHOU Bao-Yuan, MA Wei, GE Jun-Zhu, DING Zai-Song, LI Cong-Feng, ZHAO Ming. Characteristics of the annual distribution and utilization of climate resource for double maize cropping system in the middle reaches of Yangtze River [J]. Acta Agronomica Sinica, 2022, 48(6): 1437-1450. |
[3] | WANG Wang-Nian, GE Jun-Zhu, YANG Hai-Chang, YIN Fa-Ting, HUANG Tai-Li, KUAI Jie, WANG Jing, WANG Bo, ZHOU Guang-Sheng, FU Ting-Dong. Adaptation of feed crops to saline-alkali soil stress and effect of improving saline-alkali soil [J]. Acta Agronomica Sinica, 2022, 48(6): 1451-1462. |
[4] | YAN Jia-Qian, GU Yi-Biao, XUE Zhang-Yi, ZHOU Tian-Yang, GE Qian-Qian, ZHANG Hao, LIU Li-Jun, WANG Zhi-Qin, GU Jun-Fei, YANG Jian-Chang, ZHOU Zhen-Ling, XU Da-Yong. Different responses of rice cultivars to salt stress and the underlying mechanisms [J]. Acta Agronomica Sinica, 2022, 48(6): 1463-1475. |
[5] | YANG Huan, ZHOU Ying, CHEN Ping, DU Qing, ZHENG Ben-Chuan, PU Tian, WEN Jing, YANG Wen-Yu, YONG Tai-Wen. Effects of nutrient uptake and utilization on yield of maize-legume strip intercropping system [J]. Acta Agronomica Sinica, 2022, 48(6): 1476-1487. |
[6] | CHEN Jing, REN Bai-Zhao, ZHAO Bin, LIU Peng, ZHANG Ji-Wang. Regulation of leaf-spraying glycine betaine on yield formation and antioxidation of summer maize sowed in different dates [J]. Acta Agronomica Sinica, 2022, 48(6): 1502-1515. |
[7] | LI Yi-Jun, LYU Hou-Quan. Effect of agricultural meteorological disasters on the production corn in the Northeast China [J]. Acta Agronomica Sinica, 2022, 48(6): 1537-1545. |
[8] | SHI Yan-Yan, MA Zhi-Hua, WU Chun-Hua, ZHOU Yong-Jin, LI Rong. Effects of ridge tillage with film mulching in furrow on photosynthetic characteristics of potato and yield formation in dryland farming [J]. Acta Agronomica Sinica, 2022, 48(5): 1288-1297. |
[9] | YU Chun-Miao, ZHANG Yong, WANG Hao-Rang, YANG Xing-Yong, DONG Quan-Zhong, XUE Hong, ZHANG Ming-Ming, LI Wei-Wei, WANG Lei, HU Kai-Feng, GU Yong-Zhe, QIU Li-Juan. Construction of a high density genetic map between cultivated and semi-wild soybeans and identification of QTLs for plant height [J]. Acta Agronomica Sinica, 2022, 48(5): 1091-1102. |
[10] | LI A-Li, FENG Ya-Nan, LI Ping, ZHANG Dong-Sheng, ZONG Yu-Zheng, LIN Wen, HAO Xing-Yu. Transcriptome analysis of leaves responses to elevated CO2 concentration, drought and interaction conditions in soybean [Glycine max (Linn.) Merr.] [J]. Acta Agronomica Sinica, 2022, 48(5): 1103-1118. |
[11] | PENG Xi-Hong, CHEN Ping, DU Qing, YANG Xue-Li, REN Jun-Bo, ZHENG Ben-Chuan, LUO Kai, XIE Chen, LEI Lu, YONG Tai-Wen, YANG Wen-Yu. Effects of reduced nitrogen application on soil aeration and root nodule growth of relay strip intercropping soybean [J]. Acta Agronomica Sinica, 2022, 48(5): 1199-1209. |
[12] | YAN Xiao-Yu, GUO Wen-Jun, QIN Du-Lin, WANG Shuang-Lei, NIE Jun-Jun, ZHAO Na, QI Jie, SONG Xian-Liang, MAO Li-Li, SUN Xue-Zhen. Effects of cotton stubble return and subsoiling on dry matter accumulation, nutrient uptake, and yield of cotton in coastal saline-alkali soil [J]. Acta Agronomica Sinica, 2022, 48(5): 1235-1247. |
[13] | KE Jian, CHEN Ting-Ting, WU Zhou, ZHU Tie-Zhong, SUN Jie, HE Hai-Bing, YOU Cui-Cui, ZHU De-Quan, WU Li-Quan. Suitable varieties and high-yielding population characteristics of late season rice in the northern margin area of double-cropping rice along the Yangtze River [J]. Acta Agronomica Sinica, 2022, 48(4): 1005-1016. |
[14] | WANG Hao-Rang, ZHANG Yong, YU Chun-Miao, DONG Quan-Zhong, LI Wei-Wei, HU Kai-Feng, ZHANG Ming-Ming, XUE Hong, YANG Meng-Ping, SONG Ji-Ling, WANG Lei, YANG Xing-Yong, QIU Li-Juan. Fine mapping of yellow-green leaf gene (ygl2) in soybean (Glycine max L.) [J]. Acta Agronomica Sinica, 2022, 48(4): 791-800. |
[15] | LI Rui-Dong, YIN Yang-Yang, SONG Wen-Wen, WU Ting-Ting, SUN Shi, HAN Tian-Fu, XU Cai-Long, WU Cun-Xiang, HU Shui-Xiu. Effects of close planting densities on assimilate accumulation and yield of soybean with different plant branching types [J]. Acta Agronomica Sinica, 2022, 48(4): 942-951. |
|