Welcome to Acta Agronomica Sinica，

Acta Agronomica Sinica ›› 2019, Vol. 45 ›› Issue (8): 1189-1199.doi: 10.3724/SP.J.1006.2019.82058

• CROP GENETICS & BREEDING·GERMPLASM RESOURCES·MOLECULAR GENETICS • Previous Articles     Next Articles

Potassium uptake and genome-wide association analysis of rice under different nitrogen levels

ZOU Wei-Wei1,LU Xue-Li2,WANG Li1,XUE Da-Wei3,ZENG Da-Li2,*(),LI Zhi-Xin1,*()   

  1. 1 Agronomy Department, Yangtze University, Jingzhou 434025, Hubei, China
    2 China National Rice Research Institute, Hangzhou 310006, Zhejiang, China
    3 School of Life Sciences, Hangzhou Normal University, Hangzhou 311121, Zhejiang, China
  • Received:2018-11-22 Accepted:2019-01-19 Online:2019-08-12 Published:2019-03-11
  • Contact: Da-Li ZENG,Zhi-Xin LI E-mail:dalizeng@126.com;lizhixin09@163.com
  • Supported by:
    The study was supported by the Hubei Collaborative Innovation Center for Industrialization of Major Grain Crops(MS2015004)

RichHTML354

17

PDF

353

Abstract:

A total of 134 resequenced rice landraces were used for assessing the potassium content, plant dry weight and potassium accumulation at three different nitrogen levels including no nitrogen fertilizer (N0), 96 kg ha -1 (N1), and 192 kg ha -1 (N2) under normal field cultivation, respectively. All the three traits displayed normal distribution with abundant variations under N0, N1, and N2 nitrogen levels, respectively. K accumulation and plant dry weight showed positive correlation with nitrogen levels. Meanwhile, the negative correlation was detected between K content and dry weight, and there was positive correlation between dry weight and K accumulation. In addition, the K content showed significantly lower in indica than in japonica, while the dry weight and K accumulation in indica were significantly higher than those in japonica. A total of 12 SNPs presented significant association with the potassium content, plant dry weight and potassium accumulation under three diferent nitrogen levels, including two SNPs for K accumulation, five SNPs for K content and five SNPs for dry weight. A SNP (Chr6_1,524,776) associated with potassium content on chromosome 6 was detected at N1 level. Its flank contained a receptor-like kinase, RUPO, which interacts with potassium transporters in rice. According to the difference of potassium content, one SNP and three SNPs were identified with high nitrogen and low nitrogen response, respectively. While four candidate genes closed to the SNP (Chr10_2,822,026) were associated to K content relatively changed under both high nitrogen and low nitrogen levels, showing different expression levels under different nitrogen levels.

Key words: genome-wide association study, potassium content, dry weight, potassium accumulation, Oryza sativa

Table 1

RT-PCR primers"

候选基因
Candidate gene		 上游引物序列
Forward primer sequences (5°-3°)		 下游引物序列
Reverse primer sequences (5'-3')
LOC_Os10g05730 GGCATCAAAACAGGCTCACA GGCCAACTTTACAGGTACACA
LOC_Os10g05600 GCTGTTCTTGGTCCACGC GGCCTTACTGAGTCTCTCCC
LOC_Os10g05540 CTCGGCTTCTTCCACAACTC CCTGGATCTGGCTGGAGAC
LOC_Og05620 CACGAGCACCCACAATGTAG AACGGTCACCCCTTCATCTT

Table 2

K content, dry weight, and K accumulation under three nitrogen concentrations"

性状
Trait		 参数
Parameter		 氮水平 N level
N0 N1 N2
K含量K content (mg g-1) 均值Mean 28.87±2.85 28.05±3.35 28.05±3.20
变幅Range 22.21-35.12 20.02-37.03 19.23-38.92
干重Dry weight (g plant-1) 均值Mean 4.68±1.29 6.30±1.69 7.70±2.02
变幅Range 1.94-8.12 2.66-10.30 3.68-14.40
钾积累K accumulation (mg plant-1) 均值Mean 26.47±7.07 34.91±8.76 42.51±10.89
变幅Range 11.41-48.26 15.58-53.72 21.71-72.93

Fig. 1

Distribution of K content, dry weight, and K accumulation under three nitrogen levels a, c, and e are the distribution of K content, dry weight, and K accumulation under three nitrogen levels, respectively; b, d, and f are the distribution of K content, dry weight, and K accumulation in bubble chart under three nitrogen levels, respectively; the width of bubble represents the number of lines, and the red dotted line is the average value of every character."

Fig. 2

Distributions of relative changes of K content and K accumulation under different nitrogen levels a and b are the distributions of relative changes of K content and K accumulation under N0N1-N0 and N2N2-N1; KC: K content; KA: K accumulation."

Fig. 3

Comparisons of K content, dry weight and K accumulation between indica and japonica under three nitrogen levels a, b, and c are comparisons of K content, dry weight and K accumulation between indica and japonica under three nitrogen levels. C0i, C1i, and C2i are the K content of indica under N0, N1, and N2 nitrogen levels respectively; C0j, C1j, and C2j are the K content of japonica under N0, N1, and N2 nitrogen levels respectively; W0i, W1i, and W2i are the dry weight of indica under N0, N1, and N2 nitrogen levels respectively; W0j, W1j, and W2j are the dry weight of japonica under N0, N1, and N2 nitrogen levels respectively; A0i, A1i, and A2i are the K accumulation of indica under N0, N1, and N2 nitrogen levels respectively; A0j, A1j, and A2j are the K accumulation of japonica under N0, N1, and N2 nitrogen levels, respectively."

Table 3

Correlation coefficients of K content, dry weight, and K accumulation with nitrogen levels"

氮水平
N level		 钾含量
K content		 干重
Dry weight		 钾积累
K accumulation
N0 N1 N0 N1 N0 N1
N1 -0.11 0.48** 0.46**
N2 -0.14 -0.02 0.67** 0.35** 0.66** 0.37**

Table 4

Correlation coefficients among three traits under three nitrogen levels"

性状
Trait		 N0 N1 N2
K含量
K content		 干重
Dry weight		 K含量
K content		 干重
Dry weight		 K含量
K content		 干重
Dry weight
干重Dry weight -0.33** -0.38** -0.30**
K积累 K accumulation 0.06 0.92** 0.09 0.88** 0.16 0.89**

Table 5

Summary of SNP significantly associated with the K content, dry weight, and K accumulation at three nitrogen plots"

性状
Trait		 氮水平
Nitrogen level		 染色体
Chr.		 物理距离
Position (bp)		 主要等位基因
Major allele		 次要等位基因
Minor allele		 最小等位基因频率
Minor allele frequency		 P-value
(-lg P)
钾积累 N0 6 21,362,789 G A 0.087 6.803
K accumulation N1 6 21,336,732 A G 0.387 6.130
钾含量 N1 1 2,908,421 A G 0.302 6.313
K content N1 2 7,907,735 A C 0.477 6.900
N1 3 5,568,543 A G 0.317 6.791
N1 6 1,524,776 G A 0.228 7.643
N1 6 26,011,593 C T 0.077 6.400
植株干重 N0 6 21,337,192 T C 0.380 6.265
Plant weight N1 6 21,337,192 T C 0.378 7.303
N1 6 23,166,060 C T 0.049 6.267
N1 10 19,108,030 C A 0.105 6.248
N2 10 19,108,030 C A 0.105 6.282

Fig. 4

Genome-wide association studies of K content, dry weight, and K accumulation under three nitrogen levels a, b, and c are genome-wide association studies of K content, dry weight, and K accumulation under three nitrogen levels, respectively."

Table 6

Association sites of K content relative changes under N0 and N2 stress"

性状
Trait		 染色体
Chr.		 物理距离
Position (bp)		 主要等位基因
Major allele		 次要等位基因
Minor allele		 最小等位基因频率
Minor allele frequency		 P-value
(-lg P)
KCN1-N0 9 6,934,774 T A 0.149 6.672
KCN1-N0 10 2,822,026 C T 0.066 6.296
KCN1-N0 10 4,669,497 G A 0.030 6.201
KCN2-N1 10 2,822,026 C T 0.066 6.938

Fig. 5

Genome-wide association analysis of K content and K accumulation relative changes under N0 and N2 levels a and b are Genome-wide association analysis of K content and K accumulation relative changes under N0 and N2 levels. KC: K content; KA: K accumulation."

Fig. 6

Four candidate genes relative expression levels under three nitrogen levels Radar chart is based on expression level of 1 under N1 level among three nitrogen levels."

[1] 燕金香, 李福明, 徐春梅, 陈松, 褚光, 章秀福, 王丹英 . 水稻氮钾吸收的交互作用研究. 中国稻米, 2017,23(2):1-4.
Yan J X, Li F M, Xu C M, Chen S, Chu G, Zhang X F, Wang D Y . Study on interactions between N and K absorption in rice. China Rice, 2017,23(2):1-4 (in Chinese with English abstract).
[2] 侯云鹏, 韩立国, 孔丽丽, 尹彩霞, 秦裕波, 李前, 谢佳贵 . 不同施氮水平下水稻的养分吸收、转运及土壤氮素平衡. 植物营养与肥料学报, 2015,21:836-845.
Hou Y P, Han L G, Kong L L, Yin C X, Qin Y B, Li Q, Xie J G . Nutrient absorption, translocation in rice and soil nitrogen equilibrium under different nitrogen application doses. Plant Nutr Fert Sci, 2015,21:836-845 (in Chinese with English abstract).
[3] 潘圣刚, 闻祥成, 莫钊文, 段美洋, 董浩然, 黄贵兴, 田华, 唐湘如 . 施氮量和遮荫对不同基因型水稻产量及一些生理特性的影响. 中国水稻科学, 2015,29:141-149.
Pan S G, Wen X C, Mo Z W, Duan M Y, Dong H R, Huang G X, Tian H, Tang X R . Effects of nitrogen application and shading on yields and some physiological characteristics in different rice genotypes. Chin J Rice Sci, 2015,29:141-149 (in Chinese with English abstract).
[4] Rutkowska A, Pikuła D, Stepien W . Nitrogen use efficiency of maize and spring barley under potassium fertilization in long- term field experiment. Plant Soil Environ, 2014,60:550-554.
doi: 10.17221/PSE
[5] 王毅, 武维华 . 植物钾营养高效分子遗传机制. 植物学报, 2009,44:27-36.
Wang Y, Wu W H . Molecular genetic mechanism of high efficient potassium uptake in plants. Chin Bull Bot, 2009,44:27-36 (in Chinese with English abstract).
[6] 孙爱文, 张卫峰, 杜芬, 高利伟, 张福锁, 陈新平 . 中国钾资源及钾肥发展战略. 现代化工, 2009,29(9):10-14.
Sun A W, Zhang W F, Du F, Gao L W, Zhang F S, Chen X P . China's development strategy on potash resources and fertilizer. Modern Chem Ind, 2009,29(9):10-14 (in Chinese with English abstract).
[7] 梁健, 任红茹, 夏敏, 李晓峰, 陈梦云, 李军, 张洪程, 霍中洋 . 淮北地区氮肥群体最高生产力水稻钾素吸收利用特征. 作物学报, 2017,43:558-570.
Liang J, Ren H R, Xia M, Li X F, Chen M Y, Li J, Zhang H C, Huo Z Y . Potassium absorption and utilization characteristics of rice varieties with the highest population productivity under corresponding nitrogen fertilization in Huaibei area. Acta Agron Sin, 2017,43:558-570 (in Chinese with English abstract).
[8] 曾文龙 . 土壤对铵、钾及磷酸离子吸附固定的研究. 中国烟草科学, 2001,22(1):28-32.
Zeng W L . Research of soil adsorption and fixation to ammonium, potassium and phosphorate ion. China Tob Sci, 2001,22(1):28-32 (in Chinese with English abstract).
[9] Szczerba M W, Britto D T, Kronzucker H J . K+ transport in plants: physiology and molecular biology . J Plant Physiol, 2009,166:447-466.
doi: 10.1016/j.jplph.2008.12.009
[10] Spalding E P, Hirsch R E, Lewis D R, Qi Z, Sussman M R, Lewis B D . Potassium uptake supporting plant growth in the absence of AKT1 channel activity. J Gen Physiol, 1999,113:909-918.
[11] Véry A A, Sentenac H . Molecular mechanisms and regulation of K+ transport in higher plants . Annu Rev Plant Biol, 2003,54:575-603.
doi: 10.1146/annurev.arplant.54.031902.134831
[12] Davenport R J, Tester M . A weakly voltage-dependent, nonselective cation channel mediates toxic sodium influx in wheat. Plant Physiol, 2000,122:823-834.
doi: 10.1104/pp.122.3.823
[13] Macleod L B . Effects of N, P, and K and their interactions on the yield and kernel weight of barley in hydroponic culture. Agron J, 1969,61:26-29.
doi: 10.2134/agronj1969.00021962006100010009x
[14] 胡泓, 王光火 . 施钾条件下杂交水稻氮磷养分吸收利用特点. 土壤通报, 2003,34:202-204.
Hu H, Wang G H . Natune of nitrogen and phosphorus uptake by a hybrid rice under the potassium fertilizer treatment. Chin J Soil Sci, 2003,34:202-204.
[15] Schachtman D P, Schroeder J I . Structure and transport mechanism of a high-affinity potassium uptake transporter from higher plants. Nature, 1994,370:655-658.
[16] Ko C H, Buckley A M, Gaber R F . TRK2 is required for low affinity K+ transport in saccharomyces cerevisiae. Genetics, 1990,125:305-312.
[17] 寥红, 严小龙 . 高级植物营养学. 北京: 科学出版社, 2003.pp 242-250.
Liao Ho, Yano X L . Advanced Plant Nutrition. Beijing: Science Press, 2003. pp 242-250(in Chinese).
[18] Amrutha R N, Sekhar P N, Varshney R K, Kishor P B K . Genome-wide analysis and identification of genes related to potassium transporter families in rice ( Oryza sativa L.). Plant Sci, 2007,172:708-721.
[19] Yang W, Kong Z, Omoikerodah E, Xu W, Li Q, Xue Y . Calcineurin B-like interacting protein kinase OsCIPK23 functions in pollination and drought stress responses in rice(Oryza sativa L.). J Genet Genomics, 2008,35:531-543.
[20] Yu Z, Hu Y F, Dai M Q, Huang L M, Zhou D X . The WUSCHEL-related Homeobox gene WOX11 is required to activate shoot-borne crown root development in rice. Plant Cell, 2009,21:736-748.
[21] Chen G, Feng H, Hu Q, Qu H, Chen A, Yu L, Xu G . Improving rice tolerance to potassium deficiency by enhancing OsHAK16p: WOX11-controlled root development. Plant Biotechnol J, 2015,13:833-848.
[22] Zhao Y, Cheng S, Song Y, Huang Y, Zhou S L, Liu X Y, Zhou D X . The interaction between rice ERF3 and WOX11 promotes crown root development by regulating gene expression involved in cytokinin signaling. Plant Cell, 2015,27:2469-2483.
[23] Wu P, Ni J J, Luo A C . QTLs underlying rice tolerance to low-potassium stress in rice seedlings. Crop Sci, 1998,38:1458-1462.
doi: 10.2135/cropsci1998.0011183X003800060009x
[24] Lin H X, Zhu M Z, Yano M, Gao J P, Liang Z W, Su W A, Hu X H, Ren Z H, Chao D Y . QTLs for Na+ and K+ uptake of the shoots and roots controlling rice salt tolerance . Theor Appl Genet, 2004,108:253-260.
[25] Shimizu A, Guerta C Q, Gregorio G B, Kawasaki S, Ikehashi H . QTLs for nutritional contents of rice seedlings (Oryza sativa L.) in solution cultures and its implication to tolerance to iron-toxicity. Plant Soil, 2005,275:57-66.
[26] Pandit A, Rai V, Bal S, Sinha S, Kumar V, Chauhan M, Gautam R K, Singh R, Sharma P C, Singh A K, Gaikwad K, Sharma T R, Mohapatra T, Singh N K . Combining QTL mapping and transcriptome profiling of bulked RILs for identification of functional polymorphism for salt tolerance genes in rice (Oryza sativa L.). Mol Genet Genomics, 2010,284:121-136.
[27] Atwell S, Huang Y S, Vilhjálmsson B J, Willems G, Horton M, Li Y, Meng D, Platt A, Tarone A M, Hu T T, Jiang R, Muliyati N W, Zhang X, Amer M A, Baxter I, Brachi B, Chory J, Dean C, Debieu M, Meaux J, Ecker J R, Faure N, Kniskern J M, Jones J D, Michael T, Nemri A, Roux F, Salt D E, Tang C, Todesco M, Traw M B, Weigel D, Marjoram P, Borevitz J O, Bergelson J, Nordborg M . Genome-wide association study of 107 phenotypes in Arabidopsis thaliana inbred lines. Nature, 2010,465:627-631.
[28] Zhao K, Tung C W, Eizenga G C, Wright M H, Ali M L, Price A H, Norton G J, Islam M R, Reynolds A, Mezey J, McClung A M, Bustamante C D, McCouch S R . Genome-wide association mapping reveals a rich genetic architecture of complex traits in Oryza sativa. Nat Commun, 2011,2:467.
[29] Wen W, Li D, Li X, Xiang L, Gao Y Q, Li W Q, Li H H, Liu J, Liu H J, Chen W, Luo J, Yan J B . Metabolome-based genome-wide association study of maize kernel leads to novel biochemical insights. Sci Found China, 2015,5:32-32.
[30] Zhou Z, Jiang Y, Wang Z, Gou Z, Lu J, Li W, Yu Y, Shu L, Zhao Y, Ma Y, Fang C, Shen Y, Liu T, Li C, Li Q, Wu M, Wang M, Wu Y, Dong Y, Wan W, Wang X, Ding Z, Gao Y, Xiang H, Zhu B, Lee S H, Wang W, Tian Z . Resequencing 302 wild and cultivated accessions identifies genes related to domestication and improvement in soybean. Nat Biotechnol, 2015,33:408-414.
[31] Kumar V, Singh A, Mithra S V A, Krishnamurthy S L, Parida S K, Jain S, Tiwari K K, Kumar P, Rao A R, Sharma S K, Khurana J, Singh N K, Mohapatra T . Genome-wide association mapping of salinity tolerance in rice (Oryza sativa L.). DNA Res, 2015,22:133-145.
[32] Wang C, Yang Y, Yuan X, Xu Q, Feng Y, Yu H Y, Wang Y P, Wei X H . Genome-wide association study of blast resistance in indica rice. BMC Plant Biol, 2014,14:1-11.
[33] Dan Z, Kang H, Li Z, Liu M H, Zhu X L, Wang Y, Wang D, Wang Z L, Liu W D, Wang G L . A genome-wide association study of field resistance to Magnaporthe oryzae in rice. Rice, 2016,9:44.
[34] 高易宏, 燕金香, 涂政军, 冷语佳, 陈龙, 黄李超, 代丽萍, 张光恒, 朱丽, 胡江, 任德勇, 郭龙彪, 钱前, 王丹英, 曾大力 . 不同氮处理下水稻剑叶叶宽的全基因组关联分析. 中国农业科学, 2017,50:2635-2646.
Gao Y H, Yan J X, Tu Z J, Leng Y J, Chen L, Huang L C, Dai L P, Zhang G H, Zhu L, Hu J, Ren D Y, Guo L B, Qian Q, Wang D Y, Zeng D L . Genome-wide association analysis on flag leaf width under different nitrogen levels in rice. Sci Agric Sin, 2017,50:2635-2646 (in Chinese with English abstract).
[35] Murray M G, Thompson W F . Rapid isolation of high molecular weight plant DNA. Nucl Acids Res, 1980,8:4321-4325.
doi: 10.1093/nar/8.19.4321
[36] Dudbridge F, Gusnanto A . Estimation of significance thresholds for genomewide association scans. Genet Epidemiol, 2008,32:227-234.
doi: 10.1002/(ISSN)1098-2272
[37] Liu L, Zheng C, Kuang B, Wei L, Yan L, Wang T . Receptor-like kinase RUPO interacts with potassium transporters to regulate pollen tube growth and integrity in rice. PLoS Genet, 2016,12:e1006085.
[38] 刘国栋, 刘更另 . 籼稻耐低钾基因型的筛选. 作物学报, 2002,28:161-166.
Liu G D, Liu G L . Screening indica rice for K-efficient genotypes. Acta Agron Sin, 2002,28:161-166 (in Chinese with English abstract).
[39] 李华, 杨肖娥, 罗安程 . 不同氮钾条件下水稻基因型氮、钾积累利用差异. 中国水稻科学, 2002,16:86-88.
Li H, Yang X E, Luo A C . Genotypic difference in N and K accumulation under different N sources and K levels in rice (Oryza sativa L.). Chin J Rice Sci, 2002,16:86-88 (in Chinese with English abstract).
[40] Kitomi Y, Ito H, Hobo T, Aya K, Kitano H, Inukai Y . The auxin responsive AP2/ERF transcription factor CROWN ROOTLESS5 is involved in crown root initiation in rice through the induction of OsRR1, a type-A response regulator of cytokinin signaling. Plant J, 2011,67:472-484.
[41] Xu J C, Li J Z, Zheng X W, Zou L X, Zhu L H . QTL mapping of the root traits in rice seedling. J Genet Genomics, 2001,28:433-438.
[1] TIAN Tian, CHEN Li-Juan, HE Hua-Qin. Identification of rice blast resistance candidate genes based on integrating Meta-QTL and RNA-seq analysis [J]. Acta Agronomica Sinica, 2022, 48(6): 1372-1388.
[2] ZHENG Chong-Ke, ZHOU Guan-Hua, NIU Shu-Lin, HE Ya-Nan, SUN wei, XIE Xian-Zhi. Phenotypic characterization and gene mapping of an early senescence leaf H5(esl-H5) mutant in rice (Oryza sativa L.) [J]. Acta Agronomica Sinica, 2022, 48(6): 1389-1400.
[3] WU Yan-Fei, HU Qin, ZHOU Qi, DU Xue-Zhu, SHENG Feng. Genome-wide identification and expression analysis of Elongator complex family genes in response to abiotic stresses in rice [J]. Acta Agronomica Sinica, 2022, 48(3): 644-655.
[4] WANG Yan, CHEN Zhi-Xiong, JIANG Da-Gang, ZHANG Can-Kui, ZHA Man-Rong. Effects of enhancing leaf nitrogen output on tiller growth and carbon metabolism in rice [J]. Acta Agronomica Sinica, 2022, 48(3): 739-746.
[5] QU Jian-Zhou, FENG Wen-Hao, ZHANG Xing-Hua, XU Shu-Tu, XUE Ji-Quan. Dissecting the genetic architecture of maize kernel size based on genome-wide association study [J]. Acta Agronomica Sinica, 2022, 48(2): 304-319.
[6] ZHENG Xiang-Hua, YE Jun-Hua, CHENG Chao-Ping, WEI Xing-Hua, YE Xin-Fu, YANG Yao-Long. Xian-geng identification by SNP markers in Oryza sativa L. [J]. Acta Agronomica Sinica, 2022, 48(2): 342-352.
[7] GENG La, HUANG Ye-Chang, LI Meng-Di, XIE Shang-Geng, YE Ling-Zhen, ZHANG Guo-Ping. Genome-wide association study of β-glucan content in barley grains [J]. Acta Agronomica Sinica, 2021, 47(7): 1205-1214.
[8] JIANG Jian-Hua, ZHANG Wu-Han, DANG Xiao-Jing, RONG Hui, YE Qin, HU Chang-Min, ZHANG Ying, HE Qiang, WANG De-Zheng. Genetic analysis of stigma traits with genic male sterile line by mixture model of major gene plus polygene in rice (Oryza sativa L.) [J]. Acta Agronomica Sinica, 2021, 47(7): 1215-1227.
[9] MA Juan, CAO Yan-Yong, LI Hui-Yong. Genome-wide association study of ear cob diameter in maize [J]. Acta Agronomica Sinica, 2021, 47(7): 1228-1238.
[10] CHEN Can, NONG Bao-Xuan, XIA Xiu-Zhong, ZHANG Zong-Qiong, ZENG Yu, FENG Rui, GUO Hui, DENG Guo-Fu, LI Dan-Ting, YANG Xing-Hai. Genome-wide association study of blast resistance loci in the core germplasm of rice landraces from Guangxi [J]. Acta Agronomica Sinica, 2021, 47(6): 1114-1123.
[11] LEI Wei, WANG Rui-Li, WANG Liu-Yan, YUAN Fang, MENG Li-Jiao, XING Ming-Li, XU Lu, TANG Zhang-Lin, LI Jia-Na, CUI Cui, ZHOU Qing-Yuan. Genome-wide association study of seed density and its related traits in Brassica napus L. [J]. Acta Agronomica Sinica, 2021, 47(11): 2099-2110.
[12] LI Yan-Da, CAO Zhong-Sheng, SHU Shi-Fu, SUN Bin-Feng, YE Chun, HUANG Jun-Bao, ZHU Yan, TIAN Yong-Chao. Model for monitoring leaf dry weight of double cropping rice based on crop growth monitoring and diagnosis apparatus [J]. Acta Agronomica Sinica, 2021, 47(10): 2028-2035.
[13] HAN Zhan-Yu,GUAN Xian-Yue,ZHAO Qian,WU Chun-Yan,HUANG Fu-Deng,PAN Gang,CHENG Fang-Min. Individual and combined effects of air temperature at filling stage and nitrogen application on storage protein accumulation and its different components in rice grains [J]. Acta Agronomica Sinica, 2020, 46(7): 1087-1098.
[14] LI Xiu-Shi,WU Xun,WU Wen-Qiang,LIU Peng-Fei,GUO Xiang-Yang,WANG An-Gui,ZHU Yun-Fang,CHEN Ze-Hui. Excavation of main candidate genome regions in Suwan germplasm improvement process of maize [J]. Acta Agronomica Sinica, 2019, 45(4): 568-577.
[15] YANG Yong,LU Yan,GUO Shu-Qing,SHI Zhong-Hui,ZHAO Jie,FAN Xiao-Lei,LI Qian-Feng,LIU Qiao-Quan,ZHANG Chang-Quan. Improvement of rice eating quality and physicochemical properties by introgression of Wx in allele in indica varieties [J]. Acta Agronomica Sinica, 2019, 45(11): 1628-1637.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Add: No.12 Zhongguancun South Street, Beijing 100081,China Email:xbzw@chinajournal.net.cn
Supported by Beijing Magtech Co.Ltd