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免耕玉米播种中土壤传感器在划定管理区域中的应用

Soil Sensor Use in Delimiting Management Zones for Sowing Maize in No-Till.

作者信息

Bottega Eduardo Leonel, Pinto Ederson Bitencourt, Saretta Ezequiel, Oliveira Zanandra Boff de, Severo Filipe Silveira, Assmann Johan

机构信息

Academic Coordination, Campus Cachoeira do Sul, Federal University of Santa Maria, Santa Maria 97105-900, Brazil.

出版信息

Sensors (Basel). 2024 Nov 26;24(23):7552. doi: 10.3390/s24237552.

DOI:10.3390/s24237552
PMID:39686088
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11644775/
Abstract

This study aimed to analyze yield components and maize yield cultivated at different population densities in management zones (MZs) delimited based on mapping the spatial variability of the soil's apparent electrical conductivity (ECa). The soil ECa was measured, and two MZs were subsequently delimited, one with low ECa and the other with high ECa. In each MZ, four maize sowing densities were tested: 60,000 (D1); 80,000 (D2); 100,000 (D3); and 140,000 (D4) seeds ha. Ear length, number of grains per ear, number of grains per row, number of rows per ear, thousand-grain weight, and yield were evaluated. The increase in sowing density in the high ECa MZ linearly reduced the values of ear diameter, number of rows per ear, number of grains per ear, and thousand-grain weight. Sowing density D3, when implemented in the low ECa MZ, showed higher values for the ear length, ear diameter, number of grains per row, number of grains per ear, and thousand-grain weight. Sowing density D2 was the one with the highest yield, regardless of the MZ where it was implemented (5628.48 kg ha in the high ECa management zone and 4463.63 kg ha in the low ECa).

摘要

本研究旨在分析基于土壤表观电导率(ECa)空间变异性绘制而划定的管理区(MZs)内,不同种植密度下玉米的产量构成因素和产量。测量了土壤ECa,随后划定了两个MZs,一个ECa值低,另一个ECa值高。在每个MZs中,测试了四种玉米播种密度:60,000(D1);80,000(D2);100,000(D3);和140,000(D4)粒/公顷。评估了穗长、每穗粒数、每行粒数、每穗行数、千粒重和产量。在高ECa的MZ中,播种密度的增加线性降低了穗直径、每穗行数、每穗粒数和千粒重的值。当在低ECa的MZ中采用播种密度D3时,穗长、穗直径、每行粒数、每穗粒数和千粒重的值更高。无论在哪个MZ实施,播种密度D2的产量最高(在高ECa管理区为5628.48千克/公顷,在低ECa管理区为4463.63千克/公顷)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/664c/11644775/df3c8b5ae333/sensors-24-07552-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/664c/11644775/df3c8b5ae333/sensors-24-07552-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/664c/11644775/df3c8b5ae333/sensors-24-07552-g001.jpg

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本文引用的文献

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Optimal Plant Density Is Key for Maximizing Maize Yield in Calcareous Soil of the South Pannonian Basin.最佳种植密度是南潘诺尼亚盆地石灰性土壤中玉米产量最大化的关键。
Plants (Basel). 2024 Jun 29;13(13):1799. doi: 10.3390/plants13131799.
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Optimization of Management Zone Delineation for Precision Crop Management in an Intensive Farming System.集约化种植系统中精准作物管理的管理区划分优化
Plants (Basel). 2022 Oct 4;11(19):2611. doi: 10.3390/plants11192611.
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优化基因型-环境-管理互作,以帮助中国不同农业生态区的玉米种植户适应气候变化。
Sci Total Environ. 2020 Aug 1;728:138614. doi: 10.1016/j.scitotenv.2020.138614. Epub 2020 Apr 15.
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Impact of Climate Change on Crops Adaptation and Strategies to Tackle Its Outcome: A Review.气候变化对作物适应的影响及其应对策略综述
Plants (Basel). 2019 Jan 30;8(2):34. doi: 10.3390/plants8020034.
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