文献类型： 外文期刊
作者：
Yang, Fuqiang
1
;
Xu, Xinpeng
1
;
Wang, Wei
2
;
Ma, Jinchuan
1
;
Wei, Dan
2
;
He, Ping
1
;
Pampolino, Mirasol F.
4
;
John
1
;
作者机构： 1.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Minist Agr Key Lab Plant Nutr & Fertilizer, Beijing, Peoples R China
2.Heilongjiang Acad Agr Sci, Inst Soil Fertilizer & Environm Resources, Harbin, Peoples R China
3.Int Plant Nutr Inst China Program, CAAS IPNI Joint Lab Plant Nutr Innovat Res, Beijing, Peoples R China
4.Int Plant Nutr Inst Southeast Asia Program, George Town, Malaysia
5.Int Plant Nutr Inst, Saskatoon, SK, Canada
期刊名称：PLOS ONE （ 影响因子：3.24； 五年影响因子：3.788 ）
ISSN： 1932-6203
年卷期： 2017 年 12 卷 5 期
页码：
收录情况： SCI
摘要： Estimating balanced nutrient requirements for soybean (Glycine max [L.] Merr) in China is essential for identifying optimal fertilizer application regimes to increase soybean yield and nutrient use efficiency. We collected datasets from field experiments in major soybean planting regions of China between 2001 and 2015 to assess the relationship between soybean seed yield and nutrient uptake, and to estimate nitrogen (N), phosphorus (P), and potassium (K) requirements for a target yield of soybean using the quantitative evaluation of the fertility of tropical soils (QUEFTS) model. The QUEFTS model predicted a linear -parabolic-plateau curve for the balanced nutrient uptake with a target yield increased from 3.0 to 6.0 t ha(-1) and the linear part was continuing until the yield reached about 60-70% of the potential yield. To produce 1000 kg seed of soybean in China, 55.4 kg N, 7.9 kg P, and 20.1 kg K (N: P: K = 7: 1: 2.5) were required in the above-ground parts, and the corresponding internal efficiencies (IE, kg seed yield per kg nutrient uptake) were 18.1, 126.6, and 49.8 kg seed per kg N, P, and K, respectively. The QUEFTS model also simulated that a balanced N, P, and K removal by seed which were 48.3, 5.9, and 12.2 kg per 1000 kg seed, respectively, accounting for 87.1%, 74.1%, and 60.8% of the total above-ground parts, respectively. These results were conducive to make fertilizer recommendations that improve the seed yield of soybean and avoid excessive or deficient nutrient supplies. Field validation indicated that the QUEFTS model could be used to estimate nutrient requirements which help develop fertilizer recommendations for soybean.
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