Crops ›› 2019, Vol. 35 ›› Issue (6): 99-103.doi: 10.16035/j.issn.1001-7283.2019.06.016

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Effects of Nitrogen Fertilizer Application Rate and Planting Density on Agronomic Traits and Yield of Guiyu 9

Li Hu1,Chen Chuanhua1,Liu Guanglin1,Wu Zishuai1,Huang Qiuyao2,Luo Qunchang1   

  1. 1Rice Research Institute, Guangxi Academy of Agricultural Sciences/Guangxi Key Laboratory of Rice Genetics and Breeding/Guangxi Talent Highland of High Quality Rice Breeding Research, Nanning 530007, Guangxi, China
    2Baise Research Institute of Agricultural Sciences, Baise 533000, Guangxi, China
  • Received:2019-05-28 Revised:2019-09-30 Online:2019-12-15 Published:2019-12-11
  • Contact: Qunchang Luo

Abstract:

In order to explore the best planting density and nitrogen fertilizer application rate of rice variety Guiyu 9 in the central and western regions of Guangxi, a 2-factor and 4-level split plot design was used to determine the related agronomic traits, leaf area index and yield. The results showed that planting density had significant effects on the maximum seedling number and seed setting rate (P<0.01), effective panicle number, and 1000-grain weight (P<0.05). Nitrogen fertilizer application rate had no significant effects on agronomic traits and yield. A3B2 plot had the best agronomic traits, and the highest yield (7 550kg/hm 2). When Guiyu 9 was planted in the central and western regions of Guangxi, the suitable planting pattern was a combination of planting density of 3.0×10 5holes/hm 2, 2 plants per hole and 165kg/hm 2 of nitrogen applicationrate.

Key words: Rice, Planting density, Nitrogen fertilizer application rate, Guiyu 9, Agronomic traits, Yield

Table 1

Economic traits and yield of Guiyu 9 under different planting densities and nitrogen fertilizer rates"

处理
Treatment
最高苗数
(×106/hm2)
Maximum tillers
有效穗数
(×106/hm2)Effective panicles
成穗率(%)
Spike rate
穗粒数
Grains
per spike
千粒重(g)
1000-grain
weight
株高(cm)
Plant height
穗长(cm)
Spike length
结实率(%)
Seed-setting
rate
产量
(kg/hm2)
Yield
A1 3.38cC 2.14bA 63.38aA 223.42aA 25.67bAB 129.77aA 26.08aA 78.85aA 6 910bA
A2 3.87bB 2.39abA 61.96aA 209.69aA 25.45bB 131.21aA 25.23abA 75.24bB 6 930abA
A3 3.76bB 2.27abA 60.41aA 214.94aA 26.52aA 128.71aA 25.31abA 80.31aA 7 380aA
A4 4.33aA 2.48aA 57.43aA 212.42aA 25.81bAB 130.32aA 25.17aA 79.67aA 6 840bA
B1 3.68bA 2.27aA 62.42aA 211.48aA 25.78aA 129.50aA 25.43aA 79.46aA 7 160aA
B2 3.88abA 2.27aA 58.55aA 213.95aA 26.11aA 129.43aA 25.29aA 79.63aA 6 950aA
B3 3.84abA 2.29aA 59.59aA 211.12aA 25.61aA 130.89aA 25.11aA 77.74aA 7 050aA
B4 3.94aA 2.45aA 62.62aA 223.92aA 25.95aA 130.18aA 25.94aA 77.24aA 6 910aA
A1B1 2.86bB 2.02aA 70.87aA 205.63acA 25.63aA 131.47aA 27.40aA 76.01acA 7 020abA
A1B2 3.67aA 2.14aA 58.00bA 236.40aA 25.31aA 130.77aA 26.03abA 81.08aA 6 920abcA
A1B3 3.42aA 2.11aA 60.74bA 224.00abcA 25.87aA 129.30aAB 25.47bA 79.93abA 7 200aA
A1B4 3.56aA 2.27aA 63.90abA 227.63abA 25.86aA 127.53bB 25.40bA 78.36abcA 6 520acA
A2B1 4.02aA 2.51abA 62.27aA 212.17abA 25.04bB 130.13aA 24.10bA 77.87aAB 7 490aA
A2B2 3.67bA 2.20bA 59.88aA 196.97bA 26.50aA 130.73aA 25.77abA 78.53aA 6 790abAB
A2B3 3.77abA 2.24abA 59.49aA 193.77bA 24.80bB 132.13aA 24.77abA 73.68abAB 6 410bB
A2B4 4.00abA 2.63aA 66.18aA 235.87aA 25.46abAB 131.83aA 26.27aA 70.87bB 7 040abAB
A3B1 3.60bA 2.02bB 56.30bA 224.20aA 27.06aA 129.53aA 25.87aA 83.05aA 7 420aA
A3B2 3.62abA 2.21abAB 61.25abA 212.70aA 26.65aA 127.53aA 24.73aA 79.12aA 7 550aA
A3B3 3.96aA 2.27abAB 57.27abA 198.43aA 26.12aA 128.73aA 24.60aA 78.43aA 7 450aA
A3B4 3.87abA 2.57aA 66.84aA 224.43aA 26.26aA 129.03aA 26.03aA 80.66aA 7 100aA
A4B1 4.22aA 2.54aA 60.24aA 203.93aA 25.39aA 130.80aA 24.37aA 80.92aA 6 710aA
A4B2 4.55aA 2.51aA 55.06aA 209.73aA 25.98aA 128.70aA 25.27aA 79.78aA 6 560aA
A4B3 4.19aA 2.54aA 60.86aA 228.27aA 25.64aA 131.23aA 25.60aA 78.92aA 7 130aA
A4B4 4.34aA 2.32aA 53.55aA 207.73aA 26.23aA 130.53aA 25.43aA 79.06aA 6 970aA
A 12.24** 5.09* 1.27 0.62 5.82* 1.08 2.63 13.10** 3.55
B 2.78 1.11 0.87 0.69 0.95 1.52 0.88 1.14 0.48
A×B 3.03* 0.85 1.05 1.05 1.28 1.10 1.24 1.12 1.08

Fig.1

Changes of leaf area index of Guiyu 9 under different planting densities"

Fig.2

Changes of leaf area index of Guiyu 9 under different nitrogen fertilization rates"

[1] 陈传华, 刘广林, 李虎 , 等. 广西常规水稻育种成就、问题与展望. 中国稻米, 2018,24(6):56-59.
[2] 秦俭, 蒋开锋, 张涛 , 等. 施氮量和移栽密度对重穗型杂交稻产量及氮肥利用率的影响. 中国稻米, 2017,23(4):94-98.
[3] 周兴兵, 张林, 蒋鹏 , 等. 冬水田免耕条件下氮肥管理和移栽密度对杂交中稻产量的影响. 中国稻米, 2017,23(3):63-66.
[4] 王成瑷, 王伯伦, 张文香 , 等. 栽培密度对水稻产量及品质的影响. 沈阳农业大学学报, 2004,35(4):318-322.
[5] 姜心禄, 李涛, 池忠志 , 等. 超级稻Ⅱ优602密度与穗肥运筹对产量和功能叶N素的影响. 西南农业学报, 2009,22(6):1643-1648.
[6] 孙永健, 马均, 孙园园 , 等. 水氮管理模式对杂交籼稻冈优527群体质量和产量的影响. 中国农业科学, 2014,47(10):2047-2061.
doi: 10.3864/j.issn.0578-1752.2014.10.019
[7] 徐春梅, 周昌南, 郑根深 , 等. 施氮量和栽培密度对超级稻中嘉早17物质生产特性的影响. 浙江农业学报, 2010,22(4):502-508.
[8] 叶松达, 钱林, 马晓燕 , 等. 颗粒碳铵用作水稻促花肥和保花肥的效应研究. 上海农业科技,2006(4):44-46.
[9] 房彩霞, 王永胜, 施桂红 . 水稻施用黑植倍牌生物有机肥试验研究. 农村实用科技信息,2010(9):27-28.
[10] 房玉伟, 于海富 . 施氮水平和栽插密度对协优中1号生长和产量及产量构成因子影响. 中国稻米, 2010,16(2):55-58.
[11] 郑克武, 邹江石, 吕川根 . 氮肥和栽插密度对杂交稻“两优培九”产量及氮素吸收利用的影响. 作物学报, 2006,32(6):885-893.
[12] 凌启鸿, 张洪程, 戴其根 , 等. 水稻精确定量施氮研究. 中国农业科学, 2005,38(12):2457-2467.
[13] 江青山, 蒋鹏, 陈家彬 , 等. 施氮量对宜香系列杂交稻组合产量形成及氮肥利用率的影响. 西南农业学报, 2014,27(6):2432-2439.
[14] 王士强, 赵海红, 王丽萍 , 等. 不同氮肥用量对寒地水稻生长和产量的影响. 黑龙江八一农垦大学学报, 2015,27(1):1-5,9.
[15] 陈爱忠, 潘晓华, 吴建富 , 等. 施氮量对双季超级稻产量、干物质生产及氮素吸收利用的影响. 杂交水稻, 2011,26(2):58-63.
[16] 陈仁天, 陶伟, 陈雷 , 等. 氮肥运筹对桂两优 2 号干物质生产及氮肥利用率的影响. 南方农业学报, 2013,44(6):954-957.
[17] 杨志根, 刘金弟 . 水稻强化栽培的群体结构与配套技术研究. 江西农业学报, 2005,17(3):18-21.
[18] 张欣, 施利利, 刘晓宇 , 等. 不同施肥处理对水稻产量、食味品质及蛋白质组分的影响. 中国农学通报, 2010,26(4):104-108.
[19] 周培南, 冯惟珠, 许乃霞 , 等. 施氮量和移栽密度对水稻产量及稻米品质的影响. 江苏农业研究, 2001,22(1):27-31.
[20] 田智慧, 潘晓华 . 氮肥运筹及密度对超高产水稻中优 752的产量及产量构成因素的影响. 江西农业大学学报, 2007,29(6):894-898.
[21] 曾勇军, 石庆华, 潘晓华 , 等. 施氮量对高产早稻氮素利用特征及产量形成的影响. 作物学报, 2008,34(8):1409-1416.
doi: 10.3724/SP.J.1006.2008.01409
[22] 孙琴, 彭萍, 易镇邪 , 等. 施氮量对超级早稻产量形成与氮利用效率的影响. 作物研究, 2013,27(1):9-14.
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