山东省冬小麦产量差与氮肥利用效率差形成机理解析

doi:10.3864/j.issn.0578-1752.2022.16.004

Abstract

Abstract:

【Objective】 Four planting patterns were designed based on survey data to simulate four different yield levels of winter wheat to quantify the yield gap and nitrogen use efficiency gap in Shandong province, to analyze the relationship between yield gap and nitrogen use efficiency gap, and to clarify the contribution of the environment, cultivation conditions and physiological parameters to the yield gap, so as to explore possible ways to synergistically narrow yield gap and increase resource utilization efficiency. 【Method】 This experiment was carried out in Jining, Dezhou, Yantai and Zibo in Shandong from 2016 to 2020. Four treatments were set through comprehensive management measures, such as selection of varieties, fertilizer input, planting density, and irrigation level, which were super-high yield level (SH), high-yield and high-efficiency level (HH), farmer level (FP), and basic yield level (ISP). The yield gap and nitrogen use efficiency gap between different yield levels were analyzed quantitatively to explore the influencing factors of yield gap and nitrogen use efficiency gap and the way to narrow yield gap and increase nitrogen use efficiency. 【Result】 The yield gap between the current high-yield record of wheat in Shandong and SH, SH and HH, HH and FP, FP and ISP were 2 729.1, 674.3, 1 042.9 and 4 349.8 kg·hm^-2, respectively. The partial production efficiency gap of nitrogen between SH and HH, HH and FP were -13.54 and 15.67 kg·kg^-1, respectively. There was a quadratic equation between the yield and the partial production efficiency of nitrogen. The contribution rate of the current uncontrollable factors (precipitation, temperature, etc.) and controllable factors (resource input, etc.) to the yield gap were 31.16% and 68.84%, respectively. The results showed that the gap of mean leaf area index (MLAI), mean net assimilation rate (MNAR), ear number per unit area (EN) and grain weight (GW) were significantly positively correlated with the yield gap between SH and HH (YG_Ⅱ). The gap of harvest index (HI), grain number per spike (GN) and grain weight (GW) were positively correlated with the yield gap between HH and FP (YG_Ⅲ). SH and HH treatments had higher aboveground biomass, number of ears per plant and percentage of earring-tillers than FP treatment. 【Conclusion】 At present, the yield level of winter wheat of farmers in Shandong had only achieved 64.34% of the highest recorded yield. Cultivation measures, such as optimizing fertilizer and water input, increasing the proportion of topdressing, and increasing the application of organic fertilizer and zinc fertilizer, could reduce the yield gap by 23.46%, and increase the partial production efficiency of nitrogen by 56.99%. The post-anthesis material production capacity was still the limiting factor for wheat yield improvement. However, when ensuring the light contract after anthesis, increasing the re-transportation of pre-anthesis stored dry matter to improve the harvest index was an effective measure to synergistically improve yield and nitrogen use efficiency.

Key words: winter wheat, yield gap, nitrogen fertilizer partial productivity gap, yield performance analysis

HAN ShouWei,SI JiSheng,YU WeiBao,KONG LingAn,ZHANG Bin,WANG FaHong,ZHANG HaiLin,ZHAO Xin,LI HuaWei,MENG Yu. Mechanisms Analysis on Yield Gap and Nitrogen Use Efficiency Gap of Winter Wheat in Shandong Province[J].Scientia Agricultura Sinica, 2022, 55(16): 3110-3122.

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References 45

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管理措施 Management pattern		种植模式 Planting pattern
管理措施 Management pattern		SH Super-high yield level	HH High-yield and high-efficiency level	FP Farmer level	ISP Basic yield level
基本苗Basic seedlings (×10⁴plant·hm^-2)		375	300	450	450
肥料运筹 Fertilizer management	氮肥 N (kg·hm^-2)	270	210	360	0
	磷肥 P (kg·hm^-2)	150	120	120	0
	钾肥 K (kg·hm^-2)	150	120	120	0
	基追比Dressing ratio	5﹕5	4﹕6	6﹕4	0
	锌肥ZnSO₄(kg·hm^-2)	30	30	0	0
	有机肥 Organic fertilizer (kg·hm^-2)	7500	3000	0	0

类别 Class	年份 Year	地点 Site	全氮 Total nitrogen (g·kg^-1)	碱解氮 Available nitrogen (mg·kg^-1)	速效磷 Available phosphorus (mg·kg^-1)	速效钾 Available potassium (mg·kg^-1)	有机质 Organic matter (g·kg^-1)
试验地块 Test plot	2016	济宁 Jining	1.45	89.09	54.42	117.85	11.02
		德州 Dezhou	1.36	81.29	49.88	127.44	10.61
		烟台 Yantai	1.29	75.66	62.51	102.31	11.82
		淄博 Zibo	1.40	78.99	53.44	109.81	10.29
最高产量地块 Highest yield plot	2018	烟台 Yantai	1.53	92.33	61.19	139.98	20.81
	2019	济宁 Jining	1.61	90.88	58.88	137.71	21.93
	2019	淄博 Zibo	1.49	95.42	59.34	145.98	23.22

年份 Year	地点 Site	贡献率 Contribution rate (%)
		当前不可控因素 Uncontrolled factor	可控因素 Controllable factor
		当前不可控因素 Uncontrolled factor	大量资源投入 Excess nutrients input	优化栽培措施 Optimized cultivation measure	当前农艺水平 Current crop management
2016-2017	济宁 Jining	26.38	10.87	9.66	53.09
	德州 Dezhou	34.16	10.81	12.31	42.73
	烟台 Yantai	31.68	1.73	38.71	27.88
	淄博 Zibo	37.31	4.32	14.82	43.56
2017-2018	济宁 Jining	37.29	8.61	21.58	32.52
	德州 Dezhou	39.27	4.26	7.88	48.59
	烟台 Yantai	43.78	3.20	4.42	48.59
	淄博 Zibo	41.84	7.69	7.93	42.54
2018-2019	济宁 Jining	38.54	7.31	9.41	44.74
	德州 Dezhou	29.67	8.88	16.06	45.39
	烟台 Yantai	21.55	14.90	4.26	59.30
	淄博 Zibo	26.19	11.32	4.37	58.12
2019-2020	济宁 Jining	19.47	7.80	13.83	58.91
	德州 Dezhou	18.16	7.79	12.21	61.85
	烟台 Yantai	25.96	3.26	11.74	59.04
	淄博 Zibo	27.41	10.25	5.43	56.92
平均 Average		31.16	7.69	12.16	48.99

光合性能参数差 Photosynthetic performance parameter gap (x)	产量差 Yield gap (y)	相关方程 Correlation equation	相关系数 Correlation coefficient	产量构成参数差 Yield composition parameter gap (x)	产量差 Yield gap (y)	相关方程 Correlation equation	相关系数 Correlation coefficient
MLAI_FP-ISP	YG_IV	y=0.647x+0.102	0.4825 **	EN_FP-ISP	YG_IV	y=0.568x+0.166	0.3828 **
MLAI_HH-FP	YG_III	y=0.077x+0.554	-0.0620	EN_HH-FP	YG_III	y=-0.196x+0.388	-0.0149
MLAI_SH-HH	YG_II	y=0.779x+0.023	0.4861 **	EN_SH-HH	YG_II	y=0.868x+0.192	0.8343 **
				EN_HR-SH	YG_I	y=0.447x+0.354	0.1586
MNAR_FP-ISP	YG_IV	y=0.888x-0.132	0.7237 **	GN_FP-ISP	YG_IV	y=0.715x+0.244	0.5825 **
MNAR_HH-FP	YG_III	y=-0.055x+0.437	-0.0676	GN_HH-FP	YG_III	y=0.794x-0.001	0.7256 **
MNAR_SH-HH	YG_II	y=0.890x+0.176	0.5283 **	GN_SH-HH	YG_II	y=0.543x+0.334	0.1322
				GN_HR-SH	YG_I	y=-0.521x+0.963	0.2778
HI_FP-ISP	YG_IV	y=-0.295x+0.586	0.1028	GW_FP-ISP	YG_IV	y=0.365x+0.402	0.1051
HI_HH-FP	YG_III	y=1.042x+0.141	0.6837 **	GW_HH-FP	YG_III	y=0.755x+0.184	0.4593 **
HI_SH-HH	YG_II	y=0.084x+0.496	-0.0645	GW_SH-HH	YG_II	y=0.592x+0.016	0.3585 **
				GW_HR-SH	YG_I	y=0.843x+0.018	0.5874 **

Mechanisms Analysis on Yield Gap and Nitrogen Use Efficiency Gap of Winter Wheat in Shandong Province

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[3]	LIU Feng,JIANG JiaLi,ZHOU Qin,CAI Jian,WANG Xiao,HUANG Mei,ZHONG YingXin,DAI TingBo,CAO WeiXing,JIANG Dong. Analysis of American Soft Wheat Grain Quality and Its Suitability Evaluation According to Chinese Weak Gluten Wheat Standard [J]. Scientia Agricultura Sinica, 2022, 55(19): 3723-3737.
[4]	GAO RenCai,CHEN SongHe,MA HongLiang,MO Piao,LIU WeiWei,XIAO Yun,ZHANG Xue,FAN GaoQiong. Straw Mulching from Autumn Fallow and Reducing Nitrogen Application Improved Grain Yield, Water and Nitrogen Use Efficiencies of Winter Wheat by Optimizing Root Distribution [J]. Scientia Agricultura Sinica, 2022, 55(14): 2709-2725.
[5]	MENG Yu,WEN PengFei,DING ZhiQiang,TIAN WenZhong,ZHANG XuePin,HE Li,DUAN JianZhao,LIU WanDai,FENG Wei. Identification and Evaluation of Drought Resistance of Wheat Varieties Based on Thermal Infrared Image [J]. Scientia Agricultura Sinica, 2022, 55(13): 2538-2551.
[6]	LU Peng,LI WenHai,NIU JinCan,BATBAYAR Javkhlan,ZHANG ShuLan,YANG XueYun. Phosphorus Availability and Transformation of Inorganic Phosphorus Forms Under Different Organic Carbon Levels in a Tier Soil [J]. Scientia Agricultura Sinica, 2022, 55(1): 111-122.
[7]	JianZhao TANG,Jing WANG,DengPan XIAO,XueBiao PAN. Research Progress and Development Prospect of Potato Growth Model [J]. Scientia Agricultura Sinica, 2021, 54(5): 921-932.
[8]	GAO ZhiYuan,XU JiLi,LIU Shuo,TIAN Hui,WANG ZhaoHui. Variations of Winter Wheat Nitrogen Harvest Index in Field Wheat Population [J]. Scientia Agricultura Sinica, 2021, 54(3): 583-595.
[9]	MAO AnRan,ZHAO HuBing,YANG HuiMin,WANG Tao,CHEN XiuWen,LIANG WenJuan. Effects of Different Mulching Periods and Mulching Practices on Economic Return and Environment [J]. Scientia Agricultura Sinica, 2021, 54(3): 608-618.
[10]	XIANG XiaoLing,CHEN SongHe,YANG HongKun,YANG YongHeng,FAN GaoQiong. Effects of Straw Mulching and Phosphorus Application on Wheat Yield, Phosphorus Absorption and Utilization in Hilly Dryland [J]. Scientia Agricultura Sinica, 2021, 54(24): 5194-5205.
[11]	GAO XingXiang,ZHANG YueLi,AN ChuanXin,LI Mei,LI Jian,FANG Feng,ZHANG ShuangYing. Investigation and Analysis of Weed Community Succession in Winter Wheat Field of Shandong Province [J]. Scientia Agricultura Sinica, 2021, 54(24): 5230-5239.
[12]	ZONG YuZheng,ZHANG HanQing,LI Ping,ZHANG DongSheng,LIN Wen,XUE JianFu,GAO ZhiQiang,HAO XingYu. Effects of Elevated Atmospheric CO₂Concentration and Temperature on Photosynthetic Characteristics, Carbon and Nitrogen Metabolism in Flag Leaves and Yield of Winter Wheat in North China [J]. Scientia Agricultura Sinica, 2021, 54(23): 4984-4995.
[13]	WANG JinFeng,WANG ZhuangZhuang,GU FengXu,MOU HaiMeng,WANG Yu,DUAN JianZhao,FENG Wei,WANG YongHua,GUO TianCai. Effects of Nitrogen Fertilizer and Plant Density on Carbon Metabolism, Nitrogen Metabolism and Grain Yield of Two Winter Wheat Varieties [J]. Scientia Agricultura Sinica, 2021, 54(19): 4070-4083.
[14]	FEI ShuaiPeng,YU XiaoLong,LAN Ming,LI Lei,XIA XianChun,HE ZhongHu,XIAO YongGui. Research on Winter Wheat Yield Estimation Based on Hyperspectral Remote Sensing and Ensemble Learning Method [J]. Scientia Agricultura Sinica, 2021, 54(16): 3417-3427.
[15]	MA HongMei,CAO HanBing,XIE YingHe,LI TingLiang,LIU Kai,ZHANG QiRu,JIANG LiWei,CAO Jing,SHAO JingLin,WU WenYue,LI WenQi. Evaluation on Fertilizer Application and Its Economic-Environmental Benefits Associated with Fertilizer Reduction Potential for Dryland Wheat in Loess Plateau of Southern Shanxi Province [J]. Scientia Agricultura Sinica, 2021, 54(13): 2804-2817.