scholarly journals Influence of foot traffic, irrigation, nitrogen (N) fertilization, and weather factors on creeping bentgrass “Focus” (Agrostis stolonifera L.) tissue N content

itsrj ◽  
2021 ◽  
Author(s):  
Qiyu Zhou ◽  
Douglas J. Soldat
Keyword(s):  
Creeping Bentgrass ◽  
N Fertilization ◽  
Agrostis Stolonifera ◽  
Weather Factors ◽  
N Content ◽  
Tissue N Content

scholarly journals Effects of experimental nitrogen deposition on peatland carbon pools and fluxes: a modelling analysis

2015 ◽  
Vol 12 (1) ◽  
pp. 79-101 ◽  
Author(s):  
Y. Wu ◽  
C. Blodau ◽  
T. R. Moore ◽  
J. Bubier ◽  
S. Juutinen ◽  
...  
Keyword(s):  
Ecosystem Respiration ◽  
Model Performance ◽  
Net Ecosystem Exchange ◽  
N Fertilization ◽  
N Deposition ◽  
Competitive Advantages ◽  
Long Term Effects ◽  
N Content ◽  
Modelling Analysis

Abstract. Nitrogen (N) pollution of peatlands alters their carbon (C) balances, yet long-term effects and controls are poorly understood. We applied the model PEATBOG to explore impacts of long-term nitrogen (N) fertilization on C cycling in an ombrotrophic bog. Simulations of summer gross ecosystem production (GEP), ecosystem respiration (ER) and net ecosystem exchange (NEE) were evaluated against 8 years of observations and extrapolated for 80 years to identify potential effects of N fertilization and factors influencing model behaviour. The model successfully simulated moss decline and raised GEP, ER and NEE on fertilized plots. GEP was systematically overestimated in the model compared to the field data due to factors that can be related to differences in vegetation distribution (e.g. shrubs vs. graminoid vegetation) and to high tolerance of vascular plants to N deposition in the model. Model performance regarding the 8-year response of GEP and NEE to N input was improved by introducing an N content threshold shifting the response of photosynthetic capacity (GEPmax) to N content in shrubs and graminoids from positive to negative at high N contents. Such changes also eliminated the competitive advantages of vascular species and led to resilience of mosses in the long-term. Regardless of the large changes of C fluxes over the short-term, the simulated GEP, ER and NEE after 80 years depended on whether a graminoid- or shrub-dominated system evolved. When the peatland remained shrub–Sphagnum-dominated, it shifted to a C source after only 10 years of fertilization at 6.4 g N m−2 yr−1, whereas this was not the case when it became graminoid-dominated. The modelling results thus highlight the importance of ecosystem adaptation and reaction of plant functional types to N deposition, when predicting the future C balance of N-polluted cool temperate bogs.

scholarly journals Estimation of pasture herbage intake by beef cattle based on n-alkanes as markers

2017 ◽  
Vol 70 (1) ◽  
Author(s):  
Piotr Nowakowski ◽  
Katarzyna Czyz ◽  
Marta Iwaszkiewicz
Keyword(s):  
Minimally Invasive ◽  
National Park ◽  
Dry Matter ◽  
Nutritive Value ◽  
Creeping Bentgrass ◽  
Beef Cows ◽  
Agrostis Stolonifera ◽  
Dry Matter Intake ◽  
Herbage Intake ◽  
Invasive Method

The aim of the study was to evaluate herbage dry matter intake in 16 beef cows which grazed continuously on permanent pastures within the “The Warta Estuary” National Park (Poland), using the minimally invasive method based on <em>n</em>-alkanes as markers (C<sub>29</sub>, C<sub>31</sub>, C<sub>33</sub>). Significant differences were observed in the nutritive value of herbage collected for analyses by cutting or nipping. The calculated content of energy and protein in the nipped herbage was higher: UFL by 58.1% and PDI by 50%, with a higher digestibility of nutrients. The values obtained for DM intake in pasture herbage by cows were closest to the standards when calculations were based on the C<sub>29</sub>/C<sub>32</sub> pair of <em>n</em>-alkanes. However, the best prediction of DM intake estimation from creeping bentgrass (<em>Agrostis stolonifera</em>) pasture, in agreement with the accepted energy and protein standards, was based on the proportions between alkanes C<sub>31</sub>/C<sub>32</sub>.

Evaluation of Remote Sensing to Measure Plant Stress in Creeping Bentgrass (Agrostis stolonifera L.) Fairways

Crop Science ◽  
2009 ◽  
Vol 49 (6) ◽  
pp. 2261-2274 ◽  
Author(s):  
Aaron R. Johnsen ◽  
Brian P. Horgan ◽  
Brent S. Hulke ◽  
Van Cline
Keyword(s):  
Remote Sensing ◽  
Plant Stress ◽  
Creeping Bentgrass ◽  
Agrostis Stolonifera

scholarly journals Variability for Nitrogen Management in Genetically-Distant Maize (Zea mays L.) Lines: Impact of Post-Silking Nitrogen Limiting Conditions

Agronomy ◽  
2018 ◽  
Vol 8 (12) ◽  
pp. 309 ◽  
Author(s):  
Isabelle Quilleré ◽  
Céline Dargel-Graffin ◽  
Peter J. Lea ◽  
Bertrand Hirel
Keyword(s):  
N Uptake ◽  
Predictive Marker ◽  
N Fertilization ◽  
High Yield ◽  
N Content ◽  
Whole Plant ◽  
Large Level ◽  
N Remobilization ◽  
N Management ◽  
The Impact

The impact of nitrogen (N)-limiting conditions after silking on kernel yield (KY)-related traits and whole plant N management was investigated using fifteen maize lines representative of plant genetic diversity in Europe and America. A large level of genetic variability of these traits was observed in the different lines when post-silking fertilization of N was strongly reduced. Under such N-fertilization conditions, four different groups of lines were identified on the basis of KY and kernel N content. Although the pattern of N management, including N uptake and N use was variable in the four groups of lines, a number of them were able to maintain both a high yield and a high kernel N content by increasing shoot N remobilization. No obvious relationship between the genetic background of the lines and their mode of N management was found. When N was limiting after silking, N remobilization appeared to be a good predictive marker for identifying maize lines that were able to maintain a high yield and a high kernel N content irrespective of their female flowering date. The use of N remobilization as a trait to select maize genotypes adapted to low N input is discussed.

Absorption, Translocation, and Metabolism of Amicarbazone in Annual Bluegrass (Poa annua), Creeping Bentgrass (Agrostis stolonifera), and Tall Fescue (Festuca arundinacea)

Weed Science ◽  
2013 ◽  
Vol 61 (2) ◽  
pp. 217-221 ◽  
Author(s):  
Jialin Yu ◽  
Patrick E. McCullough ◽  
William K. Vencill
Keyword(s):  
Tall Fescue ◽  
Festuca Arundinacea ◽  
Creeping Bentgrass ◽  
Agrostis Stolonifera ◽  
Poa Annua ◽  
Physiological Effects ◽  
Cool Season ◽  
Foliar Absorption ◽  
Annual Bluegrass

Amicarbazone controls annual bluegrass in cool-season turfgrasses but physiological effects that influence selectivity have received limited investigation. The objective of this research was to evaluate uptake, translocation, and metabolism of amicarbazone in these species. Annual bluegrass, creeping bentgrass, and tall fescue required < 3, 56, and 35 h to reach 50% foliar absorption, respectively. At 72 h after treatment (HAT), annual bluegrass and creeping bentgrass translocated 73 and 70% of root-absorbed14C to shoots, respectively, while tall fescue only distributed 55%. Annual bluegrass recovered ≈ 50% more root-absorbed14C in shoots than creeping bentgrass and tall fescue. Creeping bentgrass and tall fescue metabolism of amicarbazone was ≈ 2-fold greater than annual bluegrass from 1 to 7 d after treatment (DAT). Results suggest greater absorption, more distribution, and less metabolism of amicarbazone in annual bluegrass, compared to creeping bentgrass and tall fescue, could be attributed to selectivity of POST applications.

Linkage map construction in allotetraploid creeping bentgrass (Agrostis stolonifera L.)

2005 ◽  
Vol 111 (4) ◽  
pp. 795-803 ◽  
Author(s):  
N. Chakraborty ◽  
J. Bae ◽  
S. Warnke ◽  
T. Chang ◽  
G. Jung
Keyword(s):  
Linkage Map ◽  
Creeping Bentgrass ◽  
Agrostis Stolonifera ◽  
Map Construction

Influence of wear-stress on turfgrass growth components and visual density ratings

1991 ◽  
Vol 71 (1) ◽  
pp. 305-308
Author(s):  
D. J. Cattani ◽  
K. W. Clark
Keyword(s):  
Key Words ◽  
Creeping Bentgrass ◽  
Dry Weight ◽  
Agrostis Stolonifera ◽  
Tiller Number ◽  
Leaf Number ◽  
Stress Measurements ◽  
The Relationship ◽  
Combined Data

This study compared the relationship between visual density ratings and various turfgrass growth components using the combined data of 10 creeping bentgrass clones exposed to or not exposed to simulated foot-type wear-stress. Measurements were determined on 28 June, 12 July, and 2 Aug. 1985. There was a trend towards a reduction, rarely significant, in all turfgrass growth components measured due to simulated wear. Significant reductions in the visual density ratings occurred for the 12 July and 2 Aug. rating dates. There was no difference in the relationship between visual density ratings and the turfgrass growth components due to applied wear-stress. Visual density ratings were correlated to tiller number and leaf number and inversely to dry weight/tiller. Tiller number and leaf number are linearly related. Key words: Agrostis stolonifera, creeping bentgrass, visual density rating, tiller number, leaf number, simulated wear

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