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首页> 外文期刊>Agronomy Journal >Variability of soil properties, early phosphorus and potassium uptake, and incidence of pests and weeds in relation to soybean grain yield
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Variability of soil properties, early phosphorus and potassium uptake, and incidence of pests and weeds in relation to soybean grain yield

机译:与大豆产量相关的土壤特性,早期磷和钾吸收的变化以及害虫和杂草的发生率

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摘要

Successful crop management requires understanding relationships between site characteristics and crop yield. We studied intercorrelations among soil and crop properties using factor analysis (FA) and principal components analysis (PCA), and their relationships with soybean [Glycine max (L.) Merr.] within-field yield variability. Site variables (22) measured on 0.2-ha cells of 12- to 20-ha areas of five Iowa fields were: elevation; soil texture; extractable nutrients; incidence of soybean cyst nematode (Heterodera glycines) (SCN), diseases, and weeds; soybean dry weight (DW), height, and P and K uptake at V5; plant height at R5; and grain yield. Agronomic interpretations of interrelationships among site variables were more straightforward for FA than for PCA. The factors conditions for early growth and nutrient uptake and intrinsic soil properties were present in all fields, plant P and K availability was present in three fields, and the factor soybean pests, weeds or plant growth was present in the other fields. Factor analysis and PCA accounted for 62 to 64% of the yield. variability in the field with the largest yield CV (30%) and 5 to 35% in the other fields (CV 2.8 to 5.9%). Two factors related significantly to yield in two fields (plant P and K availability and intrinsic soil properties) while others were specific to one field. Factor analysis identified groups of interrelated site variables, showed how they accounted for yield variability, and showed that single measurements seldom account for most yield variation in a field.
机译:成功的作物管理需要了解站点特征与作物产量之间的关系。我们使用因子分析(FA)和主成分分析(PCA)研究了土壤和作物特性之间的相互关系,以及它们与大豆[Glycine max(L.)Merr。]的田间产量差异之间的关系。在五个爱荷华州田地的12公顷至20公顷面积的0.2公顷单元上测得的场地变量(22)为:海拔;土壤质地可提取的营养素;大豆囊肿线虫(Heterodera甘氨酸)(SCN),疾病和杂草的发病率;大豆干重(DW),身高以及在V5时吸收的P和K; R5处的植物高度;和谷物产量。与PCA相比,FA对位点变量之间相互关系的农艺学解释更为直接。在所有田间都存在早期生长,养分吸收和土壤固有性质的因素条件,在三个田间存在植物磷和钾的利用率,在其他田里存在因素大豆害虫,杂草或植物的生长。因子分析和PCA占产率的62%至64%。最大产量CV(30%)的田间变异性,其他田间(CV 2.8至5.9%)的变异性为5至35%。有两个因素与两个领域的产量显着相关(植物P和K的有效性以及土壤的固有性质),而其他因素则特定于一个领域。因子分析确定了一组相互关联的位点变量,显示了它们如何解释产量变异性,并表明单个测量很少能说明田间大多数产量变异。

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