2012
DOI: 10.2136/sssaj2011.0116
|View full text |Cite
|
Sign up to set email alerts
|

Soil Depth Coupled with Soil Nitrogen and Carbon can Improve Fertilization of Rice in Arkansas

Abstract: Success of alkaline bydrolyzable nitrogen (AHN) to predict N fertilizer needs when soils were sampled over the effective rooting depth of the crop rekindled an interest in more traditional soil procedures including soil total nitrogen (STN) and total carbon (STC). The benefits of a N soil test that can accurately predict N fertilizer needs are not solely about optimizing economic or agronomic returns, but include making environmentally sound N fertilization decisions. This paper presents the results of a study… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

6
28
1
2

Year Published

2014
2014
2024
2024

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 17 publications
(37 citation statements)
references
References 16 publications
6
28
1
2
Order By: Relevance
“…We suggest that a more in-depth understanding of BBC, with its recognition of the importance of plant-soil-weather interactions, can help improve field testing of proposed soil N mineralization tests and thereby improve N recommendations for corn. Nitrogen recommendations in irrigated systems, as shown in irrigated rice systems (Roberts et al, , 2012, are more accurate and precise because predicting the N dynamics in the plant-soil-weather conditions of a field are less complex due to almost complete elimination of uncertainty caused by rainfall. Predicting the total amount of plant available N and its timing of release in relationship to crop needs over a growing season is substantially more difficult due to the interaction of rainfall with soil properties, soil management practices, and rotations.…”
Section: Limitations Of Soil Nitrogen Testsmentioning
confidence: 99%
“…We suggest that a more in-depth understanding of BBC, with its recognition of the importance of plant-soil-weather interactions, can help improve field testing of proposed soil N mineralization tests and thereby improve N recommendations for corn. Nitrogen recommendations in irrigated systems, as shown in irrigated rice systems (Roberts et al, , 2012, are more accurate and precise because predicting the N dynamics in the plant-soil-weather conditions of a field are less complex due to almost complete elimination of uncertainty caused by rainfall. Predicting the total amount of plant available N and its timing of release in relationship to crop needs over a growing season is substantially more difficult due to the interaction of rainfall with soil properties, soil management practices, and rotations.…”
Section: Limitations Of Soil Nitrogen Testsmentioning
confidence: 99%
“…These fundamental requirements of a soil N test have contributed to the development of numerous chemical N tests in an effort to find suitable alternatives to the biological N tests (Griffin 2008;Ros et al 2011). Worldwide, the most prominent chemical index of N availability is testing for soil mineral N levels (Dahnke & Johnson 1990;Roberts et al 2012). However, under humid and high rainfall climates, these tests are of limited value as soil mineral N pools are too dynamic and transient for making even short-term predictions (Keeney 1982).…”
Section: Introductionmentioning
confidence: 99%
“…The DSD soil test measures alkaline-hydrolyzable N (i.e., NH 4 -N, amino sugars, and some amino acids) and has been successfully correlated and calibrated in Arkansas and is now widely used within the state for fertilizer N recommendations for rice producers where flooded conditions alter N mineralization dynamics (Roberts et al, 2013). In addition to specific soil tests, sample depth in combination with soil N and C has been shown to be an important but sometimes overlooked factor (Roberts et al, 2012). Roberts et al (2016) recently patented a novel technique for measuring potentially mineralizable N based on measured ASN that uses a standard 2 M KCl extract and fluorometric principles to quantify amino sugar compounds.…”
mentioning
confidence: 99%