Next Article in Journal
Producing Superphosphate with Sewage Sludge Ash: Assessment of Phosphorus Availability and Potential Toxic Element Contamination
Next Article in Special Issue
Breeding for Resilience to Water Deficit and Its Predicted Effect on Forage Mass in Tall Fescue
Previous Article in Journal
Worldwide Research on the Ozone Influence in Plants
Previous Article in Special Issue
Agronomic Evaluation of the Results of Selection within Late-Maturing Dactylis glomerata Populations
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Agronomic Evaluation of the Results of Selection within Early Maturing Dactylis glomerata Germplasm

USDA Forage and Range Research Laboratory, Logan, UT 84322, USA
*
Author to whom correspondence should be addressed.
Agronomy 2021, 11(8), 1505; https://doi.org/10.3390/agronomy11081505
Submission received: 25 May 2021 / Revised: 8 July 2021 / Accepted: 26 July 2021 / Published: 29 July 2021

Abstract

:
Selection from novel orchardgrass (Dactylis glomerata L.) germplasm sources resulted in the development of an early maturing orchardgrass population. Fifty-eight families comprise this population and were evaluated under frequent and infrequent harvest intervals at Lewiston and Millville, UT, field locations during 2013 and 2014. The objective of this study was to characterize the performance of the individual families when compared with the check cultivars ‘Icon’, ‘Paiute’, and ‘Potomac’. Across the locations and harvest intervals, individual families produced greater herbage dry mass and nutritive value than the check cultivars. Only for maturity (cv. Paiute) did one of the included commercial checks possess a trait value among the statistically greatest for all families. Twenty-two half-sib families were among the families with the statistically earliest maturity, and between three and eight families were among the families with the statistically greatest trait values for herbage dry mass, crude protein, in vitro true digestibility, neutral detergent fiber, and water soluble carbohydrate concentration. Overall, based on the performance of its component families, this early maturing orchardgrass population exhibited potential for developing improved cultivars for both frequent and infrequent harvest management.

1. Introduction

Orchardgrass (Dactylis glomerata L.) is an important perennial cool-season grass for livestock production in temperate regions. Orchardgrass usage includes hay, ensiling, and grazing, and orchardgrass production frequently includes mixtures with other perennial grasses or legumes, such as alfalfa (Medicago sativa L.) [1]. Its use is limited by lower forage quality than perennial ryegrass (Lolium perenne L.) and lower stress resistance than tall fescue (Lolium arundinaceum (Schreb.) Darbysh.) [2,3]. Orchardgrass is divided into early, intermediate, or late maturing cultivar classes. Early maturing cultivars of orchardgrass are valued for hay management because they often produce more dry matter than later maturing cultivars [4]. Early maturing cultivars also mix well with white clover (Trifolium repens L.) but not later maturing legumes, such as alfalfa or birdsfoot trefoil (Lotus corniculatus L.) (reviewed in [5]).
Orchardgrass breeding efforts are ongoing to develop improved cultivars that possess high production potential in different management systems and for the different maturity classes. The evaluation of genetic gains achieved from orchardgrass breeding under hay management found that, over time, orchardgrass forage yield and ground cover increased only in the early maturing class and that most commercial cultivars are not an improvement compared with previously released cultivars [6]. While gains occurred in early maturing orchardgrass for hay management, there were not similar gains for grazing management [7]. Subsequent research identified high levels of genetic variation within novel sources of orchardgrass germplasm [8,9,10] and documented gains in the forage yield under hay management [11]. Thus, the use of novel sources of orchardgrass germplasm is a potential method to overcome stagnant yields in this species.
This study documents the performance of 58 families from a broad-based early maturing orchardgrass population that was itself derived from seven germplasm sources. The 58 families were evaluated for herbage dry mass (HDM), maturity (MAT), and nutritive value at two northern Utah field sites differing in soil characteristics under both frequent and infrequent harvest interval schedules.

2. Materials and Methods

2.1. Half-Sib Families

In 2011, open-pollinated seed was harvested from 58 plants originating from seven orchardgrass germplasm sources (Table 1). The seven orchardgrass germplasms were IADG103, IADG104, IADG105, Latar-Select, Paiute-Select, Potomac-Select, and UTDG102.

2.2. Experimental Locations and Establishment

Using the open-pollenated seed, the plots were seeded at Lewiston and Millville, UT, in August 2012. The Lewiston field site is at 41.95° N 111.88° W, is 1373 m above sea level, receives 472 mm annual precipitation, and has a Kidman and Lewiston fine sandy loam soil (coarse-loamy, mixed, superactive, mesic Calcic Haploxerolls). The Millville field site is at 41°41′52″ N, 111°49′53″ W, is 1378 m above sea level, receives 432 mm annual precipitation, and has a Nibley silty clay loam soil (fine, mixed, mesic, Aquic Argiustolls). Treatments at both sites included plots managed under frequent (simulated grazing) and infrequent (simulated hay production) harvest intervals.
A cone seeder was used to seed the plots (1 m × 2 m; five rows 0.25 m apart) at a rate of 1 pure live seed per linear cm. The plots were then uniformly irrigated to maintain a moist soil surface until seedling emergence. Irrigation was then applied at ~30 mm·wk−1 through September 2012 to ensure adequate plant development prior to winter.
The experimental design for each site and harvest interval combination was an augmented design following a previously published approach [13]. The plant materials used were the 58 half-sib families and the commercial cultivars ‘Icon’, ‘Paiute’, and ‘Potomac’. The plots at each site and harvest interval combination were arranged in eight incomplete blocks with the three commercial cultivars included in each incomplete block to compute experimental error, although a planting error at the Lewiston site resulted in some blocks containing only one of the commercial checks.
Fifty six kilograms of N fertilizer (31-0-0) ha−1 were applied to each plot annually, with three split applications at early spring, after the first harvest, and after the third harvest (frequent harvest) or second harvest (infrequent harvest). Irrigation was applied to each plot weekly at a rate equal to the weekly evapotranspiration amount.
A sickle-bar forage harvester was used to harvest the aboveground biomass from each plot to a stubble height of 100 mm. The wet biomass was weighed with the harvester’s on-board scale. The frequent harvest plots were harvested seven times at approximately 23-day intervals in 2013 and five times at approximately 31-day intervals in 2014. The difference in harvest numbers between the years was due to a mid-summer irrigation failure at the Lewiston location in 2014. The infrequent harvest plots were harvested four times at 42-day intervals in both 2013 and 2014. Approximately 300 g samples were hand-collected by collecting a representative sample from across each plot, weighing, and then drying in a forced air drier at 60 °C for three days. Following drying, the samples were reweighed and the ratio of the dry to wet weight was used to adjust the plot HDM values. These samples were subsequently ground to pass a 1 mm screen and scanned by near-infrared reflectance spectroscopy (NIRS) (Foss, Hilleroed, Denmark). NIRS scan values were then used to estimate the values of crude protein (CP), in vitro true digestibility (IVTD), neutral detergent fiber digestibility (NDFD), and water-soluble carbohydrate concentration (WSC) based on a percentage of dry matter. The equation used was the NIRS consortium equation 18gh50.eqa [14]. Maturity data were collected prior to first harvest, except for the frequent harvests in 2013, using a visual rating based on the number and extent of heads emerged from the leaf sheath (1—very late to 5—very early).
The data were analyzed as a multi-environment augmented design using the lme4 package [15] of the R statistical software [16]. Year, location, harvest frequency, family, and their interactions were fixed effects, and the model controlled for spatial variation [17]. Although the families were half-sib families because they arose from selection and because the interest was in their specific performance and not as representative samples of the population, they were considered a fixed effect. Incomplete block and year × incomplete block interaction were random effects. The emmeans package was used to estimate means for each factor [18]. The phenotypic correlations among traits were estimated using the cor.test command of R.

3. Results and Discussion

3.1. Overview

This study characterized the performance of orchardgrass families derived from the intermating of several germplasm sources for their agronomic performance under frequent and infrequent harvest intervals. The families were selected from space-plant nurseries evaluated under a hay (infrequent) harvest interval for dry matter production and forage quality, among other traits [8,9]. As these families were selected from a space-plant evaluation, it was unclear what their performance would be in sward conditions because correlations between space-plant and sward evaluations are often low in perennial forage grasses [19,20,21]. Thus, it was necessary to evaluate these families under sward conditions and varying harvest intervals to verify their utility for further orchardgrass improvement.

3.2. Year, Location, and Harvest Frequency Effects

There were differences (p < 0.001) between the 2013 and 2014 years, between the Lewiston and Millville sites, and between the frequent and infrequent harvest intervals for HDM, CP, IVTD, NDFD, and WSC (Table 2). There were also differences between the 2013 and 2014 years and between the frequent and infrequent harvest intervals for MAT. The year × location, year × harvest interval, and year × location × harvest interval interactions differed from zero for all traits but MAT. The location × harvest interval interaction differed from zero for HDM, CP, and IVTD (Table 2). Despite the significance of the interactions with year, orchardgrass is a perennial species and must survive across multiple years. Thus, all results were averaged across the two production years and the corresponding year interaction effects were ignored [22].
As annual precipitation and temperatures were similar at the two sites during the study, large trait differences between the sites are due to soil differences. The Millville site rates lower than the Lewiston site for farmland suitability, irrigated capability, and irrigated crop ratings [23,24]. The sandier Lewiston location presumably allowed for greater root access to water than did the clay soils at the Millville site, which likely constricted root exploration and mining of the soil [25].

3.3. Orchardgrass Family Effects

There were wide differences (p ≤ 0.04) among the orchardgrass families for each trait (Table 3). The cultivar Paiute, one IADG104 family, two IADG105 families, five Latar-Select families, two Paiute-Select families, ten Potomac-Select families, and one UTDG102 family comprised the 22 families with the statistically earliest MAT scores (MAT ≥ 3.1) (Table S1). The early maturing families derived from the cultivar Latar showed that even a late-maturing cultivar maintained substantial genetic variation and heterogeneity for this trait and was a potential source of germplasm for the development of early maturing populations [12,26].
Eight, three, nine, six, and seven families were among the statistically highest groups for HDM, CP, IVTD, NDFD, and WSC, respectively (Table S1). Additionally, twelve families were among the statistically highest group for more than one trait (Table S1).
Despite the high performance of some families for multiple traits, there was little evidence for correlation among the traits. Only the correlation estimates for four trait combinations significantly differed from zero and those estimates were all low: CP and IVTD (ρ = 0.47, p ≤ 0.001), CP and NDFD (ρ = 0.32, p < 0.05), IVTD and NDFD (ρ = 0.46, p ≤ 0.001), and IVTD and WSC (ρ = 0.33, p < 0.05). The positive, although weak, correlations between the nutritive value traits were expected, but the usual negative correlations between HDM and nutritive value traits were not present in this study [27,28]. Whether this was due to the included genotypes, the choice of environments, or a combination of these factors is not clear.
In contrast with the sister study of late-maturing orchardgrass germplasm, the interactions between the early maturing families and locations or harvest intervals did not generally differ from zero [24]. The only instances of significant location × family or harvest × family interactions were for IVTD and WSC. The lack of interaction between families and harvest interval contradicted previous findings in orchardgrass that did not find an interaction between the genotype effect and defoliation methods [11]. The lack of interactions with the orchardgrass families eases selection decisions within this population, although additional evaluation in a wider collection of irrigated locations would be necessary to remove the effects of genotype × environment interactions from plant breeding decisions. However, at least preliminarily, the results of the evaluation suggest that these sites, which are good representations of other irrigated sites in the Intermountain area of the U.S., may be treated as one large macroenvironment for plant breeding [29]. This is consistent with the wide geographic adaptation used for commercial seed sales in the perennial forage seed market [30,31].
Overall, the results of this study indicate that selection within novel orchardgrass germplasm sources [8,9] has been successful at developing an elite early maturing population. Several individual families possess great potential for orchardgrass germplasm improvement. Specifically, the trait performance of several families was better than that of the included check cultivars. Additional selection within the population should result in the release of improved orchardgrass cultivars, although the ability to develop improved orchardgrass cultivars separately for hay and grazing management is limited by the ability of the seed market to support such releases.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/agronomy11081505/s1, Table S1: Mean values corresponding to 58 orchardgrass families and three commercial cultivars evaluated in 2013 and 2014 at Lewiston and Millville, UT, under frequent and infrequent harvest frequencies. Means are across years, location, and harvest frequencies. Traits are maturity (MAT; 1—very late to 5—very early), herbage dry mass (HDM; Mg ha−1), crude protein (CP; g kg−1), in vitro true digestibility (IVTD; g kg−1), neutral detergent fiber digestibility (NDFD; g kg−1), and water soluble carbohydrate concentration (WSC; g kg−1). Values in the statistically highest grouping for each trait are italicized and bolded.

Author Contributions

Conceptualization, J.G.R., B.S.B. and K.B.J.; methodology, J.G.R.; formal analysis, J.G.R.; writing—original draft preparation, J.G.R.; writing—review and editing, J.G.R., B.S.B. and K.B.J. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Data Availability Statement

The data are available upon request to the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Van Santen, E.; Sleper, D.A. Orchardgrass. In Cool-Season Forage Grasses; Moser, L., Buxton, D., Casler, M., Eds.; ASA-CSSA-SSSA Publishers: Madison, WI, USA, 1996; pp. 503–534. [Google Scholar]
  2. Jensen, K.B.; Asay, K.H.; Waldron, B.L. Dry matter production of orchardgrass and perennial ryegrass at five irrigation levels. Crop Sci. 2001, 41, 479–487. [Google Scholar] [CrossRef] [Green Version]
  3. Jensen, K.B.; Waldron, B.L.; Asay, K.H.; Johnson, D.A.; Monaco, T.A. Forage nutritional characteristics of orchardgrass and perennial ryegrass at five irrigation levels. Agron. J. 2003, 95, 668–675. [Google Scholar] [CrossRef]
  4. Papadopoulos, Y.A.; Price, M.A.; Laflamme, L.F.; Fulton, N.R.; Hunter, G.M.; Caldwell, C.D.; McRae, K.B. Differences among orchardgrass cultivars in response to hay and rotational grazing management. Can. J. Plant Sci. 1995, 75, 147–157. [Google Scholar] [CrossRef]
  5. Sanderson, M.A.; Elwinger, G.F. Plant density and environment effects on orchardgrass-white clover mixtures. Crop Sci. 2002, 42, 2055–2063. [Google Scholar] [CrossRef]
  6. Casler, M.D.; Fales, S.L.; McElroy, A.R.; Hall, M.H.; Hoffman, L.D.; Leath, K.T. Genetic progress from 40 years of orchardgrass breeding in North America measured under hay management. Crop Sci. 2000, 39, 1019–1025. [Google Scholar] [CrossRef]
  7. Casler, M.D.; Fales, S.L.; Undersander, D.J.; McElroy, A.R. Genetic progress from 40 years of orchardgrass breeding in North America measured under management-intensive rotational grazing. Can. J. Plant Sci. 2001, 81, 713–721. [Google Scholar] [CrossRef] [Green Version]
  8. Robins, J.G.; Bushman, B.S.; Jensen, K.B.; Blaser, G. Genetic variation for morphology and maturity among the half-sib progeny of nine orchardgrass germplasm populations. Crop Sci. 2012, 52, 2276–2282. [Google Scholar] [CrossRef]
  9. Robins, J.G.; Bushman, B.S.; Jensen, K.B.; Escribano, S.; Blaser, G. Genetic variation for dry matter yield, forage quality, and seed traits among the half-sib progeny of nine orchardgrass germplasm populations. Crop Sci. 2015, 55, 275–283. [Google Scholar] [CrossRef]
  10. Xie, W.; Bushman, B.S.; Ma, Y.; West, M.S.; Robins, J.G.; Michaels, L.; Jensen, K.B.; Zhang, X.; Casler, M.D.; Stratton, S.D. Genetic diversity and variation in North American orchardgrass (Dactylis glomerata L.) cultivars and breeding lines. Grassl. Sci. 2014, 60, 185–193. [Google Scholar] [CrossRef]
  11. Casler, M.D.; Fales, S.L.; McElroy, A.R.; Hall, M.H.; Hoffman, L.D.; Undersander, D.J.; Leath, K.T. Half-sib family selection for forage yield in orchardgrass. Plant Breed. 2002, 121, 43–48. [Google Scholar] [CrossRef]
  12. Alderson, J.; Sharp, W.C. Grass Varieties of the United States; USDA Agricultural Handbook 170; United States Department of Agriculture Soil Conservation Service: Washington, DC, USA, 2007; p. 62. [Google Scholar]
  13. Riday, H.; Brummer, E.C. Heterosis in a broad range of alfalfa germplasm. Crop Sci. 2005, 45, 8–17. [Google Scholar]
  14. NIRS Consortium. Available online: Nirsconsortium.com (accessed on 19 April 2021).
  15. Bates, D.; Maechler, M.; Bolker, B.; Walker, S. Fitting linear mixed-effect models using lme4. J. Stat. Softw. 2015, 67, 1–48. [Google Scholar] [CrossRef]
  16. R Core Team. R: A Language and Environment for Statistical Computing; R Foundation for Statistical Computing: Vienna, Austria, 2021. [Google Scholar]
  17. Smith, K.F.; Casler, M.D. Spatial analysis of forage grass trials across locations, years, and harvests. Crop Sci. 2004, 44, 56–62. [Google Scholar] [CrossRef] [Green Version]
  18. Lenth, R.V. Emmeans: Estimated Marginal Means, Aka Least-Square Means; R Package Version 1.5.5-1; 2021. Available online: https://cran.r-project.org/web/packages/emmeans/index.html#:~:text=emmeans%3A%20Estimated%20Marginal%20Means%2C%20aka%20Least%2DSquares%20Means&text=Compute%20contrasts%20or%20linear%20functions,Plots%20and%20other%20displays (accessed on 28 July 2021).
  19. Waldron, B.L.; Robins, J.G.; Peel, M.D.; Jensen, K.B. Predicted efficiency of spaced-plant selection to indirectly improve tall fescue sward yield and quality. Crop Sci. 2008, 48, 443–449. [Google Scholar] [CrossRef]
  20. Robins, J.G.; Jensen, K.B. Genotype × environment interaction effects of propagation and defoliation on meadow bromegrass. Crop Sci. 2017, 57, 2007–2016. [Google Scholar] [CrossRef]
  21. Casler, M.D.; Ramstein, G.P. Breeding for biomass yield in switchgrass using surrogate measures of yield. BioEnergy Res. 2018, 11, 1–12. [Google Scholar] [CrossRef] [Green Version]
  22. Robins, J.G.; Jensen, K.B. Identification of creeping foxtail germplasm with high dry matter yield and nutritive value. Crop Sci. 2011, 51, 728–735. [Google Scholar] [CrossRef]
  23. United States Department of Agriculture Natural Resources Conservation Service Web Soil Survey. Available online: Websoilsurvey.nrcs.usda.gov/app (accessed on 19 April 2021).
  24. Robins, J.G.; Bushman, B.S.; Jensen, K.B. Agronomic evaluation of the results of selection within late-maturing Dactylis glomerata populations. Agronomy 2021, 11, 1362. [Google Scholar] [CrossRef]
  25. Horn, R.; Smucker, A. Structure formation and its consequences for gas and water transport in unsaturated arable and forest soils. Soil Till. Res. 2005, 82, 5–14. [Google Scholar] [CrossRef]
  26. Barker, R.E.; Casler, M.D.; Carlson, I.T.; Berg, C.C.; Sleper, D.A.; Young, W.C. Convergent-divergent selection for seed production and forage traits in orchardgrass. II. Seed yield response in Oregon. Crop Sci. 1997, 37, 1054–1059. [Google Scholar] [CrossRef]
  27. Casler, M.D.; Vogel, K.P. Accomplishments and impact from breeding for increased forage nutritive value. Crop Sci. 1999, 39, 12–20. [Google Scholar] [CrossRef] [Green Version]
  28. Smith, K.F.; Simpson, R.J.; Oram, R.N.; Lowe, K.F.; Kelly, K.B.; Evans, P.M.; Humphreys, M.O. Seasonal variation in the herbage yield and nutritive value of perennial ryegrass (Lolium perenne L.) cultivars with high or normal herbage water-soluble carbohydrate concentrations grown in three contrasting Australian dairy environments. Aust. J. Exp. Agric. 1998, 38, 821–830. [Google Scholar] [CrossRef]
  29. Ceccarelli, S. Wide adaptation: How wide? Euphytica 1989, 40, 197–205. [Google Scholar]
  30. Wilkins, P.W.; Humphreys, M.O. Progress in breeding perennial forage grasses for temperate agriculture. J. Agric. Sci. 2003, 140, 129–150. [Google Scholar] [CrossRef]
  31. Brummer, E.C. Capturing heterosis in forage crop cultivar development. Crop Sci. 1999, 39, 943–954. [Google Scholar] [CrossRef]
Table 1. Dactylis glomerata half-sib family source populations, including the number (N) of families corresponding to each population; and cultivars.
Table 1. Dactylis glomerata half-sib family source populations, including the number (N) of families corresponding to each population; and cultivars.
FamilyTypeNSource
IADG103 (I3)Half-sib families4[8]
IADG104 (I4)Half-sib families2[8]
IADG105 (I5)Half-sib families7[8]
Latar-Select (LaS)Half-sib families15[8]
Paiute-Select (PaS)Half-sib families13[8]
Potomac-Select (PoS)Half-sib families15[8]
UTDG102 (U2)Half-sib families2[8]
cv. Icon (In)Cultivar1DLF Pickseed North America
cv. Paiute (La)Cultivar1[12]
cv. Potomac (Po)Cultivar1[12]
Table 2. Mean trait values corresponding to the main effects of year, location, and harvest frequency. Traits were maturity (MAT; 1—very late to 5—very early), herbage dry mass (HDM; Mg ha−1), crude protein (CP; g kg−1), in vitro true digestibility (IVTD; g kg−1), neutral detergent fiber digestibility (NDFD; g kg−1), and water-soluble carbohydrates (WSC; g kg−1) and were measured on 58 orchardgrass families and three commercial cultivars during 2013 and 2014 at Lewiston and Millville, UT, under frequent and infrequent harvest intervals. Values in the same column and for the same effect followed by different letters differ at least at the 5% α level.
Table 2. Mean trait values corresponding to the main effects of year, location, and harvest frequency. Traits were maturity (MAT; 1—very late to 5—very early), herbage dry mass (HDM; Mg ha−1), crude protein (CP; g kg−1), in vitro true digestibility (IVTD; g kg−1), neutral detergent fiber digestibility (NDFD; g kg−1), and water-soluble carbohydrates (WSC; g kg−1) and were measured on 58 orchardgrass families and three commercial cultivars during 2013 and 2014 at Lewiston and Millville, UT, under frequent and infrequent harvest intervals. Values in the same column and for the same effect followed by different letters differ at least at the 5% α level.
EffectMATHDMCPIVTDNDFDWSC
Year
20132.4 b16.9 b176 a835 b726 a49 b
20143.1 a18.1 a174 b846 a715 b65 a
Location
Lewiston2.8 a21.8 a165 b817 b691 b54 b
Millville2.8 a13.2 b185 a865 a750 a59 a
Harvest Frequency
Frequent3.0 a17.2 b199 a863 a733 a58 a
Infrequent2.5 b17.8 a151 b818 b708 b56 b
Location × Harvest Frequency
Lewiston × Frequent2.6 c20.7 b200 a850 c703 a56 a
Lewiston × Infrequent2.9 b22.8 a130 c784 d679 a53 a
Millville × Frequent3.4 a13.6 c198 a876 a763 a61 a
Millville × Infrequent2.2 d12.9 d172 b853 b737 a58 a
Table 3. Summary of the experiment-wide mean values corresponding to 58 orchardgrass families and three commercial cultivars evaluated in 2013 and 2014 at Lewiston and Millville, UT, under frequent and infrequent harvest frequencies. High and low family values correspond to the families with the numerically highest and lowest trait values. Means are across years, location, and harvest frequencies. Traits are maturity (MAT; 1—very late to 5—very early), herbage dry mass (HDM; Mg ha−1), crude protein (CP; g kg−1), in vitro true digestibility (IVTD; g kg−1), neutral detergent fiber digestibility (NDFD; g kg−1), and water soluble carbohydrate concentration (WSC; g kg−1).
Table 3. Summary of the experiment-wide mean values corresponding to 58 orchardgrass families and three commercial cultivars evaluated in 2013 and 2014 at Lewiston and Millville, UT, under frequent and infrequent harvest frequencies. High and low family values correspond to the families with the numerically highest and lowest trait values. Means are across years, location, and harvest frequencies. Traits are maturity (MAT; 1—very late to 5—very early), herbage dry mass (HDM; Mg ha−1), crude protein (CP; g kg−1), in vitro true digestibility (IVTD; g kg−1), neutral detergent fiber digestibility (NDFD; g kg−1), and water soluble carbohydrate concentration (WSC; g kg−1).
MATHDMCPIVTDNDFDWSC
High Family3.720.119085276168
Low Family1.515.316479068548
Icon2.316.617884572660
Paiute3.216.917784072354
Potomac2.716.318084273155
Mean2.817.517584172057
Least Significant Difference 5%0.81.697237
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Robins, J.G.; Bushman, B.S.; Jensen, K.B. Agronomic Evaluation of the Results of Selection within Early Maturing Dactylis glomerata Germplasm. Agronomy 2021, 11, 1505. https://doi.org/10.3390/agronomy11081505

AMA Style

Robins JG, Bushman BS, Jensen KB. Agronomic Evaluation of the Results of Selection within Early Maturing Dactylis glomerata Germplasm. Agronomy. 2021; 11(8):1505. https://doi.org/10.3390/agronomy11081505

Chicago/Turabian Style

Robins, Joseph G., B. Shaun Bushman, and Kevin B. Jensen. 2021. "Agronomic Evaluation of the Results of Selection within Early Maturing Dactylis glomerata Germplasm" Agronomy 11, no. 8: 1505. https://doi.org/10.3390/agronomy11081505

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop