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不同施肥处理下玉米在不同农业生态系统中的产量响应及养分利用效率

Yield Response and Nutrient Use Efficiencies under Different Fertilizer Applications in Maize ( L.) In Contrasting Agro Ecosystems.

作者信息

Balemi Tesfaye, Rurinda Jairos, Kebede Mesfin, Mutegi James, Hailu Gebresilasie, Tufa Tolcha, Abera Tolera, Sida Tesfaye Shiferaw

机构信息

Ethiopian Institute of Agricultural Research, P.O.Box. 2003, Addis Ababa, Ethiopia.

International Plant Nutrition Institute (IPNI), C/O IFDC - East and Southern Africa Division, ICIPE Compound, Duduville - Kasarani, Thika Road, P.O.Box 30772-00100, Nairobi, Kenya.

出版信息

Int J Plant Soil Sci. 2019;29(3). doi: 10.9734/IJPSS/2019/v29i330141. Epub 2019 Aug 16.

DOI:10.9734/IJPSS/2019/v29i330141
PMID:33381607
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7747942/
Abstract

Variability in crop response and nutrient use efficiencies to fertilizer application is quite common under varying soil and climatic conditions. Understanding such variability is vital to develop farm- and area- specific soil nutrient management and fertilizer recommendations. Hence the objectives of this study were to assess maize grain yield response to nutrient applications for identifying yield-limiting nutrients and to understand the magnitude of nutrient use efficiencies under varying soil and rainfall conditions. A total of 150 on-farm nutrient omission trials (NOTs) were conducted on farmers' field in high rainfall and moisture stress areas. The treatments were control, PK, NK, NP, NPK and NPK+ secondary and micronutrients. Maize grain yield, nutrient uptake, agronomic and recovery efficiencies of N and P differed between fertilizer treatments and between the contrasting agro-ecologies. The AE ranged from 24.8 to 32.5 kg grain kg N in Jimma area and from 1.0 kg grain kg N (NK treatment) to 10.2 kg grain kg N (NPK treatment) at Adami Tullu and from 0.1 kg grain kg N (NK treatment) to 8.3 kg grain kg N (NPK treatment) at Bulbula. The differing parameters between the agro-ecologies were related to difference in rainfall amount and not to soil factors. Grain yield response to N application and agronomic efficiencies of N and P were higher in the high rainfall area than in the moisture stress areas. Grain yield responded the most to nitrogen (N) application than to any other nutrients at most of the experimental sites. Owing to the magnificent yield response to N fertilizer in the current study, proper management of nitrogen is very essential for intensification of maize productivity in most maize growing areas of Ethiopia.

摘要

在不同的土壤和气候条件下,作物对肥料施用的反应以及养分利用效率的变异性相当普遍。了解这种变异性对于制定农场和区域特定的土壤养分管理及肥料推荐至关重要。因此,本研究的目的是评估玉米籽粒产量对养分施用的反应,以确定产量限制养分,并了解在不同土壤和降雨条件下养分利用效率的大小。在高降雨区和水分胁迫区的农民田间共进行了150次田间养分缺失试验(NOTs)。处理包括对照、PK、NK、NP、NPK以及NPK + 中微量元素。不同肥料处理之间以及不同农业生态区之间,玉米籽粒产量、养分吸收、氮和磷的农学效率及回收效率存在差异。在吉马地区,农学效率(AE)范围为每千克氮生产24.8至32.5千克籽粒;在阿达米图卢,AE范围为每千克氮生产1.0千克籽粒(NK处理)至10.2千克籽粒(NPK处理);在布尔布拉,AE范围为每千克氮生产0.1千克籽粒(NK处理)至8.3千克籽粒(NPK处理)。不同农业生态区之间的这些差异参数与降雨量差异有关,而非土壤因素。高降雨区的籽粒产量对施氮的反应以及氮和磷的农学效率高于水分胁迫区。在大多数试验地点,籽粒产量对氮肥施用的反应比对任何其他养分的反应都更为显著。由于本研究中玉米对氮肥的显著产量反应,在埃塞俄比亚大多数玉米种植区,合理管理氮肥对于提高玉米生产力至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a5/7747942/3f9eeb12db79/IJPSS-29-33-001-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a5/7747942/732f97a860be/IJPSS-29-33-001-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a5/7747942/de4d6454e328/IJPSS-29-33-001-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a5/7747942/ef2bc090221f/IJPSS-29-33-001-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a5/7747942/40c70363abf4/IJPSS-29-33-001-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a5/7747942/3767ab16488f/IJPSS-29-33-001-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a5/7747942/dd98dd2242d5/IJPSS-29-33-001-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a5/7747942/35106fac1773/IJPSS-29-33-001-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a5/7747942/3f9eeb12db79/IJPSS-29-33-001-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a5/7747942/732f97a860be/IJPSS-29-33-001-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a5/7747942/de4d6454e328/IJPSS-29-33-001-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a5/7747942/ef2bc090221f/IJPSS-29-33-001-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a5/7747942/40c70363abf4/IJPSS-29-33-001-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a5/7747942/3767ab16488f/IJPSS-29-33-001-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a5/7747942/dd98dd2242d5/IJPSS-29-33-001-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a5/7747942/35106fac1773/IJPSS-29-33-001-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71a5/7747942/3f9eeb12db79/IJPSS-29-33-001-g008.jpg

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本文引用的文献

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Plants (Basel). 2018 Mar 30;7(2):28. doi: 10.3390/plants7020028.
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SoilGrids250m: Global gridded soil information based on machine learning.SoilGrids250m:基于机器学习的全球网格化土壤信息。
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Understanding variability in crop response to fertilizer and amendments in sub-Saharan Africa.
基于科学的决策支持,用于制定撒哈拉以南非洲地区的作物肥料推荐方案。
Agric Syst. 2020 Apr;180:102790. doi: 10.1016/j.agsy.2020.102790.
了解撒哈拉以南非洲地区作物对肥料和改良剂反应的变异性。
Agric Ecosyst Environ. 2016 Aug 1;229:1-12. doi: 10.1016/j.agee.2016.05.012.