干旱区生态环境知识资源中心(Arid): Optimizing irrigation and nitrogen fertilization for seed yield in western wheatgrass [Pascopyrum smithii (Rydb.) A. Love] using a large multi-factorial field design

Arid

DOI	10.1371/journal.pone.0218599
	Optimizing irrigation and nitrogen fertilization for seed yield in western wheatgrass [Pascopyrum smithii (Rydb.) A. Love] using a large multi-factorial field design
	Chen, Zhao 1; Liu, Xv 1; Niu, Junpeng 1; Zhou, Wennan 1; Zhao, Tian 1; Jiang, Wenbo 1; Cui, Jian 2; Kallenbach, Robert 3; Wang, Quanzhen 1
通讯作者	Wang, Quanzhen
来源期刊	PLOS ONE
ISSN	1932-6203
出版年	2019
卷号	14 期号:6
英文摘要	It is crucial for agricultural production to identify the trigger that switches plants from vegetative to reproductive growth. Agricultural sustainability in semiarid regions is challenged by nitrogen (N) fertilizer overuse, inadequate soil water, and heavy carbon emissions. Previous studies focused on the short-term effects of a single application of N and water but have not investigated the long-term effects of different irrigation and N fertilizer regimens on crop yields and yield components. N application is routinely coupled with water availability, and crop yields can be maximized by optimizing both. We examined the growth of western wheatgrass [Pascopyrum smithii (Rydb.) A. Love], a temperate-region forage and turf grass, using multiple different combinations of N fertilizer [(NH4)(2)center dot CO3] and irrigation levels over 3 years to determine optimal field management. We conducted multifactorial, orthogonally designed field experiments with large sample sizes, and measured fertile tillers m(-2) (Y-1), spikelets/fertile tillers (Y-2), florets/spikelet (Y-3), seed numbers/spikelet (Y-4), seed weight (Y-5), and seed yield (Z) to study factors associated with the switch between vegetative and reproductive growth. Fertilization had a greater effect on seed yield and yield components than irrigation. Y-1 had the strongest positive effect on Z, whereas Y-5 had a negative effect on Z. Irrigation and fertilization affected Z, Y-1, and Y-5. Fertilizer concentrations were positively correlated with Z, Y-1, and Y-5, whereas irrigation levels were negatively correlated. The ridge regression linear model results suggested N application rate and irrigation had antagonistic effects on Y-1 (X-3 = 867.6-4.23xX(2); R-2 = 0.988, F = Infinity, P<0.0001). We conclude that the optimal amount of N fertilizer and irrigation was 156 kg ha(-1) + 115 mm for seed yield, 120 kg ha(-1) + 146 mm for spikelets/fertile tillers, and 108 kg ha(-1) + 119 mm for seed numbers/spikelets. These results will improve yield and reduce agricultural inputs for P. smithii in semiarid and arid regions, thereby reducing fertilizer pollution and conserving water.
类型	Article
语种	英语
国家	Peoples R China ; USA
开放获取类型	Green Published, gold, Green Submitted
收录类别	SCI-E
WOS记录号	WOS:000482883600038
WOS关键词	WATER-USE EFFICIENCY ; LEAF SENESCENCE ; GRAIN-YIELD ; SUGAR-BEET ; COMPONENTS ; PHOSPHORUS ; STRESS ; GROWTH ; RICE ; PHOTOSYNTHESIS
WOS类目	Multidisciplinary Sciences
WOS研究方向	Science & Technology - Other Topics
来源机构	西北农林科技大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/218115
作者单位	1.Northwest A&F Univ, Coll Grassland Agr, Dept Grassland Sci, Yangling, Shaanxi, Peoples R China; 2.Northwest A&F Univ, Coll Life Sci, Dept Plant Sci, Yangling, Shaanxi, Peoples R China; 3.Univ Missouri, Div Plant Sci, Columbia, MO USA
推荐引用方式 GB/T 7714	Chen, Zhao,Liu, Xv,Niu, Junpeng,et al. Optimizing irrigation and nitrogen fertilization for seed yield in western wheatgrass [Pascopyrum smithii (Rydb.) A. Love] using a large multi-factorial field design[J]. 西北农林科技大学,2019,14(6).
APA	Chen, Zhao.,Liu, Xv.,Niu, Junpeng.,Zhou, Wennan.,Zhao, Tian.,...&Wang, Quanzhen.(2019).Optimizing irrigation and nitrogen fertilization for seed yield in western wheatgrass [Pascopyrum smithii (Rydb.) A. Love] using a large multi-factorial field design.PLOS ONE,14(6).
MLA	Chen, Zhao,et al."Optimizing irrigation and nitrogen fertilization for seed yield in western wheatgrass [Pascopyrum smithii (Rydb.) A. Love] using a large multi-factorial field design".PLOS ONE 14.6(2019).