A linear model for predicting olive yield using root characteristics-Reference-Cited by-同舟云学术

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A linear model for predicting olive yield using root characteristics

Published:2024-03 Issue: Volume:29 Page:100859
ISSN:2452-2198
Container-title:Rhizosphere
language:en
Short-container-title:Rhizosphere

Author:

Nasiri Mohammad Reza,Amiri Ebrahim,Behzadi Jalal,Shahinrokhsar Parisa,Mohammadian Roshan Naser

Funder

Islamic Azad University

Department of Agriculture, Australian Government

Publisher

Elsevier BV

Reference19 articles.

1. Soil water content and olive tree yield responses to soil management, irrigation, and precipitation in a hilly Mediterranean area;Arampatzis;Journal of Water and Climate Change,2018

2. Seasonal soil moisture and crop yield prediction with fifth-generation seasonal forecasting system (SEAS5) long-range meteorological forecasts in a land surface modelling approach;Boas;Hydrol. Earth Syst. Sci.,2023

3. Field scale SWAT+ modeling of corn and soybean yields for the contiguous United States: national Agroecosystem Model Development;Čerkasova;Agric. Syst.,2023

4. The role of different root orders in nutrient uptake;Cochavi;Environ. Exp. Bot.,2020

5. The effect of plant growth promoting bacteria on growth and nutrient uptake of maize in two different soils;Egamberdiyeva;Appl. Soil Ecol.,2007

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Non-Linear Relationships between Fine Root Functional Traits and Biomass in Different Semi-Arid Ecosystems on the Loess Plateau of China;Forests;2024-07-15

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