土壤健康能解释粮食质量吗?得克萨斯州玉米地的案例研究

IF 2.3 4区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Agricultural & Environmental Letters Pub Date : 2022-05-26 DOI:10.1002/ael2.20078
Kabindra Adhikari, Douglas R. Smith, Chad Hajda, Phillip R. Owens
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引用次数: 2

摘要

研究表明,土壤健康与作物产量之间存在密切关系,但与土壤健康和粮食质量相关的研究有限。我们研究了德克萨斯州玉米田土壤健康与谷物蛋白质和油脂含量之间的关系。蛋白质和油含量数据是用CropScan监测仪在现场收集的。使用Haney土壤健康工具对202个地点的土壤健康值进行了测量。我们首先使用表观电导率(ECa)和14个地形属性作为预测因子绘制蛋白质和石油含量图,然后量化与样本位置数据的关系。土壤健康与蛋白质和油脂含量呈正相关,但相关性较弱。土壤健康占蛋白质变异性的13%(p<.001),含油量的2%至17%(p<.1),具体取决于土壤图单位。它们的空间分布主要受海拔、ECa和湿度指数的影响。我们不建议使用哈尼土壤健康工具来估计谷物蛋白质和油脂含量;然而,我们建议在不同的土壤和农艺条件下调查这种关系,以便进一步验证。
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Can soil health explain grain quality? A case study of a corn field in Texas

Studies show a strong relationship between soil health and crop yield, but those relating soil health and grain quality are limited. We studied the relationship between soil health and grain protein and oil content from a corn (Zea mays L.) field in Texas. Protein and oil content data were collected in the field with a CropScan monitor. Soil health values were measured at 202 locations using the Haney Soil Health Tool. We first mapped protein and oil content using apparent electrical conductivity (ECa) and 14 terrain attributes as predictors, and we then quantified the relationship with data from sample locations. Soil health was positively correlated with protein and oil content, but the relationship was rather weak. Soil health accounted for up to 13% of the variability in protein (p < .001) and between 2 and 17% in oil content (p < .1) depending on soil map unit. Their spatial distribution was mostly influenced by elevation, ECa, and wetness index. We do not recommend estimating grain protein and oil content with the Haney Soil Health Tool; however, we suggest investigating such relationship across different soil and agronomic conditions for further verification.

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来源期刊
CiteScore
3.70
自引率
3.80%
发文量
28
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