Scientia Agricultura Sinica ›› 2021, Vol. 54 ›› Issue (7): 1397-1409.doi: 10.3864/j.issn.0578-1752.2021.07.007

• HIGH QUALITY CULTIVATION • Previous Articles     Next Articles

Comprehensive Evaluation of Nitrogen Efficiency and Screening of Varieties with High Grain Yield and High Nitrogen Efficiency of Inbred Middle-Ripe Japonica Rice in the Middle and Lower Reaches of Yangtze River

LIU QiuYuan1,2,ZHOU Lei1,TIAN JinYu1,CHENG Shuang1,TAO Yu1,XING ZhiPeng1,LIU GuoDong1,WEI HaiYan1(),ZHANG HongCheng1()   

  1. 1Yangzhou University/Jiangsu Key Laboratory of Crop Genetics and Physiology/Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou 225009, Jiangsu
    2Agricultural College, Xinyang Agriculture and Forestry University, Xinyang 464000, Henan
  • Received:2020-08-30 Accepted:2020-11-23 Online:2021-04-01 Published:2021-04-22
  • Contact: HaiYan WEI,HongCheng ZHANG;


【Objective】The main purpose of this study was to screen out the inbred japonica rice varieties with high grain yield and high nitrogen efficiency in the middle and lower reaches of Yangtze River, so as to provide a reference for the breeding and production application of high grain yield and high nitrogen efficiency varieties in this area.【Method】105 inbred japonica rice varieties (90 in 2017, 105 in 2018) from the middle and lower reaches of Yangtze River were used as experimental materials, and grain yield, dry matter accumulation, nitrogen uptake and utilization efficiency were determined at maturity stage under the treatment of nitrogen and no nitrogen. Nitrogen recovery efficiency, nitrogen agronomic efficiency, nitrogen physiological efficiency, nitrogen grain yield production efficiency and nitrogen dry matter production efficiency were used as the evaluation indexes of nitrogen absorption and utilization efficiency, and the comprehensive evaluation value of nitrogen efficiency (CEV) of each variety (line) was obtained by using the entropy weight fuzzy synthetic evaluation method. Then, the grain yield-nitrogen efficiency index (GYNEI) was calculated by using CEV and grain yield. According to the GYNEI, the varieties (lines) were classified by the method of cluster analysis.【Result】The tested varieties (lines) were divided into three types, and the average values of grain yield, nitrogen recovery efficiency, nitrogen agronomic efficiency, nitrogen physiological efficiency, nitrogen grain yield production efficiency, nitrogen dry matter production efficiency in Type Ⅰ were highest, while those in Type Ⅲ were lowest. Therefore, Type Ⅰ varieties (lines) were characterized by high grain yield and high nitrogen efficiency, and Type Ⅲ varieties (lines) were characterized by low grain yield and low nitrogen efficiency. According to the screening results, 23 and 27 varieties (lines) were divided into high grain yield and high nitrogen efficiency type in 2017 and 2018, respectively, and 19 varieties (lines), such as Nanjing9108, Nanjing5718, Ningjing7, Sidao15, Yangjing239 and so on, were classified into high grain yield and high nitrogen efficiency type in two years. In addition, stem dry matter weight, leaf dry matter weight, panicle dry matter weight, total dry matter weight, spikelet per panicle, grain yield, panicle nitrogen uptake, total nitrogen uptake of high grain yield and high nitrogen efficiency type (TypeⅠ) were significantly higher than those of Type Ⅱ and Type Ⅲ.【Conclusion】 19 varieties (lines) were preliminarily identified as high grain yield and high nitrogen efficiency varieties (lines), such as Nanjing 9108, Nanjing 5718, Ningjing7, Sidao15, and so on. Compared with the low grain yield and low nitrogen efficiency varieties (lines), the high grain yield and high nitrogen efficiency varieties (lines) showed the characteristics of larger biomass, more spikelet per panicle, higher nitrogen uptake, especially higher panicle nitrogen uptake. These results could provide a reference for the selection of inbred middle-ripe japonica rice varieties in the middle and lower reaches of Yangtze River, and also provided materials for the study of the synergistic mechanism of grain yield and nitrogen efficiency.

Key words: grain yield, the Middle and Lower Reaches of Yangtze River, nitrogen efficiency, comprehensive evaluation, japonica

Table 1

List of tested varieties (lines)"

年度 Year品种(系)Variety (line)
2017JD6602、JD6614、JD6619、常软07-1 Changruan07-1、常软07-11 Changruan07-11、常软07-2 Changruan07-2、常软07-3 Changruan07-3、常软07-4 Changruan07-4、常软07-5 Changruan07-5、常软07-6 Changruan07-6、丰粳1606 Fengjing1606、沪香粳165 Huxiangjing165、沪早软粳 Huzaoruanjing、沪早香软1号 Huzaoxiangruan1、沪早香软2号 Huzaoxiangruan2、华丰1502 Huafeng1502、华粳295 Huajing295、华粳5号 Huajing5、华粳8号 Huajing8、淮330 Huai330、淮稻5号 Huaidao5、连粳11号 Lianjing11、连粳12号 Lianjing12、连粳13 Lianjing13、连粳13264 Lianjing13264、连粳15 Lianjing15、连粳15113 Lianjing15113、连粳7号 Lianjing7、南繁1604 Nanfan1604、南繁1605 Nanfan1605、南繁1609 Nanfan1609、南繁1610 Nanfan1610、南粳2728 Nanjing2728、南粳505 Nanjing505、南粳5711 Nanjing5711、南粳5833 Nanjing5833、南粳9108 Nanjing9108、南粳3818 Nanjing3818、南粳5718 Nanjing5718、宁5720 Ning5720、宁9003 Ning9003、宁9022 Ning9022、宁9039 Ning9039、宁粳040 Ningjing040、宁粳4号Ningjing4、宁粳7号Ningjing7、圣稻1647 Shendao1647、圣稻18-15 Shendao18-15、圣稻18-4 Shendao18-4、圣稻19 Shendao19、圣稻20 Shendao20、圣稻22 Shendao22、圣稻2620 Shendao2620、泗15-234 Si15-234、泗15-301 Si15-301、泗稻14-211 Sidao14-211、泗稻15号 Sidao15、松早香1号 Songzaoxiang1、苏1795 Su1795、苏粳815 Sujing815、苏香粳3号 Suxiangjing3、苏秀867 Suxiu867、泰粳1152 Taijing1152、泰粳2340 Taijing2340、皖垦粳3号 Wankenjing3、武4610 Wu4610、武6267 Wu6267、武粳004 Wujing004、武育粳3号 Wuyujing3、武运5020 Wuyun5020、武运5051 Wuyun5051、武运粳21 Wuyunjing21、武运粳27号 Wuyunjing27、武运粳32号 Wuyunjing32、武运粳80 Wuyunjing80、新稻22 Xindao22、新科稻31 Xinkedao31、徐36618 Xu36618、徐41368 Xu41368、徐稻9号 Xudao9、徐农33202 Xunong33202、盐粳16号Yanjing16、扬粳1612 Yangjing1612、扬粳239 Yangjing239、扬粳3012 Yangjing3012、扬粳3491 Yangjing3491、扬粳5515 Yangjing5515、扬育粳2号Yangyujing2、镇9471 Zhendao9471、镇稻99 Zhendao99
(新增 Newly added)
早香粳1号 Zaoxiangjing1、福粳1601 Fujing1601、福粳1608 Fujing1608、沪早香181 Huzaoxiang181、宁9036 Ning9036、申粳1221 Shenjing1221、圣稻18 Shendao18、圣稻23 Shendao23、圣稻24 Shendao24、圣香66 Shenxiang66、苏1785 Su1785、武育粳36号Wuyujing36、武运4326 Wuyun4326、徐40398 Xu40398、徐稻10号 Xudao10

Table 2

Grain yield, dry matter production, nitrogen uptake and utilization efficiency of tested varieties (lines)"

CV (%)
CV (%)
2017有效穗数 Number of effective panicles (×104 hm-2)302.58-467.52365.208.16230.10-426.90303.979.31
千粒重 1000-grain weight (g)20.60-29.8826.385.8720.93-30.2526.885.75
穗粒数 Spikelet per panicle75.38-136.08103.2110.4863.88-114.394.4710.05
结实率 Percentage of filled grains (%)82.43-95.7789.433.3979.34-98.4392.374.27
产量 Grain yield (t·hm-2)6.80-9.898.428.115.25-7.766.696.91
茎干重 SDM (t·hm-2)4.62-7.446.019.293.36-5.304.367.82
叶干重 LDM (t·hm-2)2.24-4.373.2812.341.66-2.992.3910.72
穗干重 PDM (t·hm-2)6.94-10.999.008.935.41-8.367.137.38
总干重 TDM (t·hm-2)14.56-21.2518.297.8910.75-15.8913.896.65
茎吸氮量 SNC (kg·hm-2)43.92-84.9561.5012.7120.28-37.5625.2911.40
叶吸氮量 LNC (kg·hm-2)36.62-70.9852.0012.5721.60-41.7531.8413.11
穗吸氮量 PNC (kg·hm-2)89.19-149.51121.928.6061.64-98.5883.748.73
总吸氮量 TNC (kg·hm-2)194.77-270.38235.426.50117.17-165.88140.877.53
氮肥回收效率 NRE (%)24.55-47.8335.0213.73
氮肥农学利用率 NAE (kg·kg-1)1.70-13.586.3935.17
氮素生理利用率 NPE (kg·kg-1)6.38-32.1617.9225.81
氮素籽粒生产效率 GYE (kg·kg-1)31.52-39.3835.753.97
氮素干物质生产效率 DME (kg·kg-1)69.24-83.7477.663.54
2018有效穗数 Number of effective panicles (×104 hm-2)268.51-456.36350.828.58239.04-403.73288.248.80
千粒重 1000-grain weight (g)20.78-30.1726.626.5722.05-30.8827.866.19
穗粒数 Spikelet per panicle74.19-134.88103.3111.0867.22-119.1391.339.85
结实率 Percentage of filled grains (%)86.84-98.5694.602.6291.69-98.5796.421.59
产量 Grain yield (t·hm-2)6.82-10.288.588.495.04-8.016.608.03
茎干重 SDM (t·hm-2)4.78-7.095.998.343.39-5.464.328.95
叶干重 LDM (t·hm-2)2.15-3.833.0511.431.45-2.431.9811.08
穗干重 PDM (t·hm-2)7.20-11.639.219.725.08-8.707.068.62
总干重 TDM (t·hm-2)14.77-21.2318.257.9410.84-15.9313.367.40
茎吸氮量 SNC (kg·hm-2)37.94-73.8555.9711.6015.61-30.5321.6713.71
叶吸氮量 LNC (kg·hm-2)25.96-58.0142.3313.6114.79-28.3321.0915.84
穗吸氮量 PNC (kg·hm-2)89.37-144.78117.329.7361.02-95.0678.768.27
总吸氮量 TNC (kg·hm-2)175.72-246.13215.636.80100.01-146.65121.517.32
氮肥回收效率 NRE (%)21.06-45.7934.8615.17
氮肥农学利用率 NAE (kg·kg-1)2.27-13.977.3332.29
氮素生理利用率 NPE (kg·kg-1)10.76-30.9620.6522.31
氮素籽粒生产效率 GYE (kg·kg-1)36.28-44.2639.774.27
氮素干物质生产效率 DME (kg·kg-1)77.15-91.9384.593.60

Table 3

Weights of evaluation indexes for nitrogen uptake and utilization efficiency"


Table 4

CEV, GYNEI of tested varieties (lines)"

指标 Trait年份 Year变幅 Range变异系数 CV (%)平均值 Mean

Table 5

Grain yield and nitrogen efficiency types of tested varieties (lines)"

Variety (line)
Variety (line)
Variety (line)
常软07-3 Changruan07-3连粳13264 Lianjing13264沪早软粳Huzaoruanjing
华丰1502 Huafeng1502连粳15113 Lianjing15113沪早香软1号Huzaoxiangruan1
华粳8号Huajing8南繁1610 Nanfan1610华粳295 Huajing295
南繁1605 Nanfan1605南粳505 Nanjing505华粳5号Huajing5
南粳5711 Nanjing5711南粳5833 Nanjing5833连粳15 Lianjing15
南粳9108 Nanjing9108南粳3818 Nanjing3818连粳7号 Lianjing7
南粳5718 Nanjing5718宁5720 Ning5720南繁1604 Nanfan1604
宁粳040 Ningjing040宁9003 Ning9003南繁1609 Nanfan1609
宁粳4号Ningjing4宁9022 Ning9022南粳2728 Nanjing2728
宁粳7号Ningjing7宁9039 Ning9039圣稻18-4 Shendao18-4
泗稻15号Sidao15圣稻1647 Shendao1647圣稻2620 Shendao2620
苏1795 Su1795圣稻18-15 Shendao18-15泗稻14-211 Sidao14-211
泰粳1152 Taijing1152圣稻19 Shendao19苏粳815 Sujing815
泰粳2340 Taijing2340圣稻20 Shendao20苏香粳3号 Suxiangjing3
武粳004 Wujing004圣稻22 Shendao22苏秀867 Suxiu867
武运5020 Wuyun5020泗15-234 Si15-234武育粳3号 Wuyujing3
武运5051 Wuyun5051泗15-301 Si15-301武运粳27号 Wuyunjing27
徐36618 Xu36618松早香1号 Songzaoxiang1新稻22 Xindao22
徐41368 Xu41368皖垦粳3号 Wankenjing3新科稻31 Xinkedao31
扬粳1612 Yangjing1612武4610 Wu4610徐稻9号Xudao9
扬粳239 Yangjing239武6267 Wu6267福粳1601 Fujing1601
扬粳3491 Yangjing3491武运粳21 Wuyunjing21福粳1608 Fujing1608
扬粳5515 Yangjing5515武运粳32号 Wuyunjing32沪早香181 Huzaoxiang181
JD6602武运粳80 Wuyunjing80宁9036 Ning9036
常软07-1 Changruan07-1徐农33202 Xunong33202申粳1221 Shenjing1221
常软07-2 Changruan07-2盐粳16号 Yanjing16圣稻18 Shendao18
常软07-4 Changruan07-4扬粳3012 Yangjing3012圣稻23 Shendao23
常软07-6 Changruan07-6扬育粳2号 Yangyujing2圣稻24 Shendao24
丰粳1606 Fengjing1606镇9471 Zhendao9471圣香66 Shenxiang66
沪早香软2号 Huzaoxiangruan2镇稻99 Zhendao99苏1785 Su1785
淮330 Huai330JD6614武育粳36号 Wuyujin36
淮稻5号 Huaidao5JD6619武运4326 Wuyun4326
连粳11号 Lianjing11常软07-11 Changruan07-11徐40398 Xu40398
连粳12号 Lianjing12常软07-5 Changruan07-5徐稻10号Xudao10
连粳13 Lianjing13沪香粳165 Huxiangjing165早香粳1号 Zaoxiangjing1

Table 6

Grain yield and nitrogen efficiency index of different grain yield and nitrogen efficiency types"

Grain yield
NRE (%)
NAE (kg·kg-1)
NPE (kg·kg-1)
DME (kg·kg-1)
2017变幅 Range1.142-1.5838.51-9.8930.65-47.837.41-13.5818.53-32.1635.40-39.3876.91-83.74
变异系数 CV (%)9.363.8810.4618.5613.462.912.59
平均值 Mean1.271a9.27a39.18a9.15a23.33a37.19a79.97a
变异系数 CV (%)
平均值 Mean0.993b8.38b35.51b6.30b17.74b35.47b77.32b
变幅 Range0.569-0.8676.80-8.3224.55-36.851.70-5.276.38-17.7231.52-36.9369.24-81.52
变异系数 CV (%)8.845.2510.2121.0120.593.974.08
平均值 Mean0.791c7.70c30.36c4.01c13.25c34.88b76.10b
2018变幅 Range1.156-1.5418.90-10.2830.10-45.797.71-13.9719.83-30.9639.43-44.2683.75-91.58
变异系数 CV (%)7.163.599.7816.0911.492.471.81
平均值 Mean1.256a9.50a39.45a9.95a25.20a41.30a87.02a
变幅 Range0.940-1.1307.47-9.5126.92-41.975.76-10.1215.83-26.3236.28-42.8179.93-88.64
变异系数 CV (%)5.544.199.9613.6911.543.572.89
平均值 Mean1.042b8.65b36.51b8.02b22.02b39.69b84.35b
变幅 Range0.628-0.9246.82-8.7121.06-35.582.27-7.3110.76-22.4736.53-43.1377.15-91.93
变异系数 CV (%)9.125.1612.7124.3319.984.093.98
平均值 Mean0.823c7.94c30.62c5.13c16.68c38.87b83.27b

Table 7

Yield components of different grain yield and nitrogen efficiency types"

Number of effective panicles (×104 hm-2)
1000-grain weight
Spikelet per panicle
Percentage of filled grains (%)
2017变幅 Range313.50-410.2524.15-29.8894.55-136.0883.55-93.44
变异系数 CV (%)7.215.638.853.21
平均值 Mean363.20a26.81a111.18a88.77a
变幅 Range317.34-429.5824.00-29.1383.32-128.3182.43-95.61
变异系数 CV (%)6.615.019.483.25
平均值 Mean369.49a26.46a102.36b88.99a
变幅 Range302.58-467.5220.60-29.3875.38-112.3084.52-95.77
变异系数 CV (%)
平均值 Mean359.82a25.86a97.31c90.80a
2018变幅 Range286.46-386.8324.15-30.1795.95-134.8888.93-97.03
变异系数 CV (%)7.845.918.992.43
平均值 Mean347.67a27.09a112.31a94.31a
变幅 Range308.83-425.5323.98-30.0690.77-119.4790.22-97.92
变异系数 CV (%)7.466.838.422.48
平均值 Mean350.85a26.69a103.94b94.42a
变幅 Range268.51-456.3620.78-29.6574.19-126.0286.84-98.56
变异系数 CV (%)9.886.6110.702.85
平均值 Mean352.78a26.26a97.14c94.93a

Table 8

Dry matter weight and nitrogen content of different grain yield and nitrogen efficiency types"

2017变幅 Range5.63-7.442.96-4.378.68-10.9918.56-21.2552.45-84.9543.89-67.41113.42-149.51227.38-270.38
变异系数 CV (%)7.339.146.013.9812.2011.697.384.72
平均值 Mean6.44a3.54a9.95a19.93a64.35a53.48a131.60a249.42a
变幅 Range4.79-6.972.49-4.147.35-9.7615.28-20.1149.90-76.2036.62-67.0699.58-135.63207.82-253.72
变异系数 CV (%)7.4110.165.544.7211.2212.475.974.44
平均值 Mean6.06b3.32b8.90b18.27b63.44a52.04a120.88b236.37b
变幅 Range4.62-6.282.24-3.896.93-9.0214.56-18.3143.92-66.8238.06-70.9889.19-129.54194.77-242.98
变异系数 CV (%)7.9313.006.085.9410.3113.488.145.44
平均值 Mean5.54c2.97c8.30c16.80c55.60b50.58a114.75c220.93c
2018变幅 Range5.61-7.113.02-3.839.29-11.6318.63-21.2346.63-68.8037.03-55.14108.10-144.78208.18-246.13
变异系数 CV (%)5.786.
平均值 Mean6.37a3.33a10.32a20.02a57.48 a44.64 a128.00 a230.12 a
变幅 Range5.16-6.942.42-3.837.78-10.0816.54-20.1244.90-73.8535.27-58.0199.49-133.55193.36-239.16
变异系数 CV (%)7.6811.095.164.4911.6215.577.684.93
平均值 Mean6.03 b3.10 b9.25 b18.39 b57.20 a43.44 a117.48 b218.11 b
变幅 Range4.78-6.642.15-3.307.20-9.7314.77-18.5037.95-66.3425.96-49.0889.37-125.45175.72-220.35
变异系数 CV (%)7.679.896.445.3012.1312.568.145.46
平均值 Mean5.70 c2.83 c8.48 c17.01 c54.03 a39.97 b110.49 c204.50 c
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