DROUGHT AVOIDANCE CHARACTERISTICS OF HYBRID BLUEGRASS

Slides:



Advertisements
Similar presentations
New Developments in Tall Fescues and Use Strategies.
Advertisements

Expanded Opportunities with Seeded Warm Season Turf.
Identifying, Classifying, and Selecting Turfgrass
Do In and Post-Season Plant-Based Measurements Predict Corn Performance and/ or Residual Soil Nitrate? Patrick J. Forrestal, R. Kratochvil, J.J Meisinger.
Multiple Comparisons in Factorial Experiments
The Analysis of Variance
Evaluation of a Biological Control Agent for Control of Root-Knot Nematode, Meloidogyne marylandi, on Turfgrass Rachel A. McGregor and Travis R. Faske.
Horticulture Science Lesson 91 Identifying, Classifying, and Selecting Turfgrass.
Functions, Quality and Selection. Students will: Know the three purposes and functions of turfgrass. Know how to determine turfgrass quality. Know the.
Irrigation. Water and Irrigation IMPORTANT ISSUES: WATER QUALITY AND QUANTITY CONSERVATION TURFGRASS AND WATER GRASS PLANT IS 80 TO 95% WATER –AT 60%
Selecting and Establishing Turfgrass Ms. Gripshover Unit 17 Landscaping.
Seed Research of Oregon Seed Technology Camp 2006
Outline Introduction – Importance for SE Mississippi State – Sensor Comparison – Wavelength/Index Analysis University of Arkansas – Active detection of.
Making sure we can handle the extremes! Carolyn Olson, Ph.D. 90 th Annual Outlook Forum February 20-21, 2014.
Table 4: Percent green cover for trinexapac-ethyl (TE) treated, overseeded plots Number of Simulated Games PGR † Turfgrass Cover (%) A - No.
Module 7: Estimating Genetic Variances – Why estimate genetic variances? – Single factor mating designs PBG 650 Advanced Plant Breeding.
Use of Salt to Control Annual Bluegrass in Seashore Paspalum. Lewayne White, Paul Raymer, and Patrick E. McCullough Introduction  Annual bluegrass (Poa.
Chapter 4 analysis of variance (ANOVA). Section 1 the basic idea and condition of application.
Lawn Turf Color and Density in Relation to Soil Nitrate Concentration Xingyuan Geng, Karl Guillard and Thomas Morris Department of Plant Science and Landscape.
The Effect of Temperature on Plants by Anne and Sarah Smith.
Harry Rukavina 1, Randy Johnson 2 and Harrison Hughes 1 1 Colorado State University, Department of Horticulture and Landscape Architecture 2 USDA Forest.
Turf Grasses How do I know which one to use?. Objectives Be able to name at least three turf grasses Describe characteristics of each Using a scenario,
Sport Field Grasses. Cool Season Grasses  C3 Plants  Optimum temp:  Most came from Europe – Forest Fringe grasses  Good low temp hardiness.
Beard, J. B Turfgrass: Science and culture. Prentice-Hall, Englewood Cliffs, NJ. Bennett, O. L., and B. D. Doss. Effect of soil moisture level on.
Irrigation Scheduling. General Approaches Maintain soil moisture within desired limits Maintain soil moisture within desired limits – direct measurement.
The Effect of Temperature on Plants by Anne and Sarah Smith.
NITROGEN FERTIGATION OF SUBSURFACE DRIP IRRIGATED BERMUDAGRASS M.A. Maurer* 1, J.A. Moken 2 and J.L. Young 1 1 Department of Agriculture, Stephen F. Austin.
Development of Vegetation Indices as Economic Thresholds for Control of Defoliating Insects of Soybean James BoardVijay MakaRandy PriceDina KnightMatthew.
Copyright © Cengage Learning. All rights reserved. 12 Analysis of Variance.
Freeze Tolerance Freeze tolerance of each was determined on 15 Dec 2007, 15 Feb 2008, 15 Oct 2008, 15 Dec 2008, and 15 Feb Plugs 2.5-cm in diam.
TURF QUALITY.
Aron, Aron, & Coups, Statistics for the Behavioral and Social Sciences: A Brief Course (3e), © 2005 Prentice Hall Chapter 10 Introduction to the Analysis.
Descriptive Statistics Used in Biology. It is rarely practical for scientists to measure every event or individual in a population. Instead, they typically.
MODELING WATER UPTAKE BY TURFGRASS FOR A USGA ROOT ZONE MODIFIED WITH INORGANIC AMENDMENTS Leonard Githinji, Jacob Dane and Robert Walker, Auburn University,
Josh Williams 3 rd Period Mr. McKie. Type of Fescue  1. Tall Fescue.
Selecting the Proper Grass Landscape Design Mrs. Clinkscales.
Root Extension of Bahiagrass as Observed in Acrylic Columns Carlos Acuna 1, Cheryl Mackowiak 2, Thomas Sinclair 1, Ann Blount 2, and Kenneth Quesenberry.
Greens-type Poa annua was found to be intermediate in relative salinity tolerance rankings for cool-season turfgrass relative salinity tolerance rankings.
Functions, Quality and Selection. People enjoy its beauty Positive effects on the environment. Athletes like the surface it provides on playing fields.
Cool Season Turfgrass Selection Dr. John Stier University of Wisconsin-Madison.
Wood ash, the residue remaining from the combustion of bark, sawdust and yard waste for energy generation for forestry product operations, is an effective.
Analysis of Variance l Chapter 8 l 8.1 One way ANOVA
Li Li and Dr. Joseph Young Preliminary conclusion
TWO WAY ANOVA WITHOUT REPLICATION
How you identify grass and environmental requirements 6.00
Chapter 2. Turfgrass species
Evaluation of early drought tolerant maize genotypes under low nitrogen conditions Nyasha E. Goredema1, Ms Nakai Goredema2, Ezekia Svotwa1, Gabriel Soropa1,
Water use in bean and cowpea: efficiency or effective use of water?
Local Landraces of Rice from Sri Lanka :
Figure 5. Do not be afraid to leave plenty of white space around your figures. If you use someone else’s figure, always acknowledge the source. Figures.
AP Statistics FINAL EXAM ANALYSIS OF VARIANCE.
Aweke M. Gelaw1, B. R. Singh1 and R. Lal2
EFFECTS OF SEED STERILIZATION TREATMENTS ON SEEDLING VIGOR AND IN VITRO CALLUS INDUCTION OF FOUR MAIZE INBRED LINES Anita Dutta1, Juan Carlos Martinez2.
The effect of dry period irrigation on yield of three cassava cultivar
Carbon Cycling in Perennial Biofuel Management Systems
Stephen E. Hart and Patrick E. McCullough
Department of Crop and Soil Sciences
An Introduction to Two-Way ANOVA
i) Two way ANOVA without replication
Applied Business Statistics, 7th ed. by Ken Black
Drought Resistance Evaluation of Diverse Wheat Germplasm
Dhurba Neupane1, Juan Solomon2 and Jay Davison3
and No-Tillage under Various Crop Rotations.
Topics Randomized complete block design (RCBD) Latin square designs
E.V. Lukina, K.W. Freeman,K.J. Wynn, W.E. Thomason, G.V. Johnson,
Using Soil Moisture and Matric Potential Observations to Identify Subsurface Convergent Flow Pathways Qing Zhu, Henry Lin, and Xiaobo Zhou Dept . Crop.
Turfgrass Identification
Goodness of Fit.
Patrick E. McCullough and Stephen E. Hart
Chapter 10 Introduction to the Analysis of Variance
Presentation transcript:

DROUGHT AVOIDANCE CHARACTERISTICS OF HYBRID BLUEGRASS AND TALL FESCUE CULTIVARS Leonard Githinji, Jacob Dane, Robert Walker, and Edzard van Santen Auburn University, Agronomy and Soils Department, 285 Funchess Hall, Auburn, AL 36849-5412 Table 1. Results from mixed models ANOVA for root mass and root length density (RLD). Four- and three-way interactions were dropped from the model because of P-values ≥ 0.50. RESULTS AND DISCUSSIONS Root Length Density (RLD) and Root Dry Mass (RDM) The RLD over the entire 2-year period was significantly (P = 0.001) affected by cultivar (C), year (Y), and month (M), but not by irrigation (Table 1). The only important (P ≤ 0.15) two-way interactions involving cultivars were the C x M and the C x Y interaction. The results for pair-wise comparison showed that in the 2-yr period the RLD for HB 130 (average RLD = 8.9 cm cm-3) was significantly (P ≤ 0.001) higher than that of any other cultivar except HB 129 (Table 2). In every case the RLD was significantly larger in July than in September (Fig. 1). The RLD was higher during the close-to-normal year (2005) compared to the extreme dry and hot year 2006 (Fig. 2). The RLD ranking using the combined means for the 2-yr period was HB 130 (best) > HB 129 > HB 329 > HB 328 > Green Keeper > KY 31. Drought resistance has been correlated with root length, extensive root system or root length density in field crops and turfgrass. Turf Color Quality For the entire 2-yr period turf color quality was significantly (P = 0.05) different for cultivar (C), year (Y), and week (W). Among the 2-way interactions involving irrigation, only I × C interaction is of interest in the context of evaluating the color response of cultivar. The C × Y and C × W interactions were both significant (P  0.001) indicating that the turf color trait differences among cultivars were dependent on the year and time of year (Table 3). The ranking for turf quality was based on hue, saturation and brightness was HB 329 (best) > HB 328 > HB 130 > HB 129> KY31 > Green Keeper. Combined RLD and turf color quality The ranking based on RLD and turf color quality was: HB 329 (best) > HB 130 > HB 328 > HB 129 > KY 31 > Green Keeper. INTRODUCTION Tall fescue (Festuca arundinacea Schreb.) has been reported to have superior drought avoidance and is able to maintain growth and green color for longer periods compared to many other cool-season species (Sleper and West, 1996). Kentucky bluegrass (Poa pratensis L, KBG) has good turf quality and forms attractive turf when supplied with adequate water but has moderate to low drought resistance (Beard, 1989). The grass usually goes dormant and loses color during periods of high temperature and drought. While tall fescue has good drought resistance, it is not as fine textured as KBG. Furthermore, some turfgrass managers and home owners prefer the finer texture and recuperative capacity that KBG offers (Bremer et al., 2006). Hybrid bluegrasses (HBG) are genetic crosses between KBG and Texas bluegrass (Poa arachnifera Torr., TBG). They have the desirable appearance of KBG and like TBG, may withstand higher temperatures and extended drought without going dormant. Although HBGs have potential for lawns and golf courses, there is little scientific information available about their performance relative to KBG and tall fescue under different climatic stresses or cultural practices (Bremer et al., 2006). Objectives Determining the turf color quality, root length density and root dry mass under different stress regimes. Comparing the performance of the hybrid bluegrasses (HB 129, HB 130, HB 328 and HB 329) with tall fescue cultivars (Green Keeper and KY 31). Source of Variation Degrees of freedom P > F Numerator Denominator Root mass RLD Irrigation (I) 2 16 0.144 0.059 Cultivar (C) 5 160 0.382 <0.001 I × C 10 0.937 0.170 Year (Y) 1 I × Y 0.683 0.001 C × Y 0.373 0.060 Month (M) 207 I × M 0.120 0.437 C × M 0.295 0.027 M × Y 0.056 Table 2. Pair-wise differences for RLD among the hybrid bluegrass and tall fescue cultivars. Differences are given below the diagonal and P-values above the diagonal. Cultivar HB 129 HB 130 HB 328 HB 329 G. Keeper KY 31 Avg. RLD (cmcm-3) 0.083 0.307 0.618 0.001 < 0.001 7.7 1.19 8.9 -0.91 2.10 0.996 0.215 0.093 6.8 -0.69 -1.88 0.22 0.071 0.024 7.1 -1.91 -3.10 -1.00 1.22 0.999 5.8 -2.08 3.27 1.17 1.39 0.17 5.7 METHODS AND MATERIALS Location The location of the experiment was the Auburn University Turfgrass Research Facility, Auburn, AL. Experimental Set-up The experimental design was a 6 by 6 Latin square with six replicates of each treatment combination within an irrigation block Three ET-based irrigation replacements were applied to meet 100%, 80% and 60% of potential evapotranspiration and irrigation was treated as an external variable. Turf Color Quality Determination Turf images were taken with the aid of a digital camera once a week from June through September. The average RGB levels of the digital images were calculated using SigmaScan Pro version 5.0 software (SPSS, 1999). The digital values of RGB were converted to HSB values. Determination of Root-Length Density and Mass Root samples were collected from each plot in July and September. The sampling depth was 0-10 cm below the surface. The roots were stained with Congo red dye. Root-length measurement was done using a Comair root length scanner, calibrated to known lengths and widths of thread. Root-length density (RLD) was eventually calculated by dividing total root length in centimeters by the volume of the sampler in cubic centimeters. Root dry mass (RDM) was recorded after oven drying for 72 h at 80° C. Statistical Analysis Mixed models as implemented in PROC MIXED of PC SAS Version 9.1.3 (SAS Institute, 2006) was used to analyze the response data. For RLD and RDM this involved analysis as a replicated Latin square (cultivars=6, rows=6, columns=6), where irrigation was treated as an environmental factor with three levels. Table 3. Results from mixed models analysis of variance for turf color response variable hue, saturation, and brightness. Source of Variation Degrees of freedom P > F Numerator Denominator Hue Saturation Brightness Irrigation (I) 2 3 0.686 0.129 0.495 Cultivar (C) 5 15 <0.001 I × C 10 16 0.551 0.872 0.461 Year (Y) 1 0.009 0.001 0.122 I × Y 0.126 0.090 0.848 C × Y 585 I × C × Y 0.019 Week (W) 13 I × W 26 0.008 0.005 C × W 65 I × C × W 130 1.000 0.829 W × Y 12 I × W × Y 24 0.007 0.221 C × W × Y 60 CONCLUSIONS The results of this study showed that hybrid bluegrasses performed better in terms of root length density and turf color quality, and would likely withstand drought better than tall fescue cultivars. Furthermore, the authors suggest that hybrid bluegrass cultivars were able to withstand summer heat better than tall fescue cultivars. This is collaborated by visual observations and digital pictures which showed considerable browning for the tall fescue plots, but not for hybrid bluegrasses. REFERENCES Beard, J.B. 1989. Turfgrass water stress: Drought resistance components, physiological mechanisms, and species-genotype diversity. p. 23–28. In Takatoh H. (ed.) Proc. Japanese Soc. Turfgrass Sci., Tokyo, Japan Bremer, D. J., K. Su, S. J. Keeley, and J. D. Fry. 2006. Performance in the transition zone of two hybrid bluegrasses compared with Kentucky bluegrass and tall fescue. Applied Turfgrass Science.10:1094. Sleper, D.A., and C.P. West. 1996. Tall fescue. p. 471–502. In Moser L.E. (ed.) Cool-season forage grasses. Agron. Mon. 34. ASA, CSSA and SSSA, Madison, WI. Fig. 1. Cultivar x month interaction means for root length density. Fig. 2. Cultivar x year interaction means for root length density.