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a USDA-ARS, JPCS Natural Resource Conservation Center, 1420 Experiment Station Road, Watkinsville, GA 30677-2373
b USDA-ARS, Crop Science Dep., and Animal Science Dep., Box 7620, North Carolina State Univ., Raleigh, NC 27695-7620
c USDA-ARS, Northwest Irrigation and Soils Research Lab., 3793 N. 3600 E., Kimberly, ID 83341
* Corresponding author (dwight_fisher{at}scientist.com)
| ABSTRACT |
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Abbreviations: ADF, acid detergent fiber AM, morning ADIA, acid detergent insoluble ash CP, crude protein DM, dry matter IVTD, in vitro true dry matter disappearance MDS, multidimensional scaling NDF, neutral detergent fiber PM, evening TNC, total nonstructural carbohydrate
| INTRODUCTION |
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| MATERIALS AND METHODS |
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Hay Harvested 1997
We harvested Kanlow hays in the vegetative stage at three dates resulting in six hays. The first harvest occurred in July (14 July, Cut 1-PM; 15 July, Cut 2-AM), the second in August (1 August, Cut 1-PM; 2 August, Cut 2-AM), and the third in October (1 October, Cut 1-PM; 2 October, Cut 2-AM). Weather during hay making was variable with precipitation occurring during hay drying for the July harvest (Table 1). Total radiation was low for the August harvest but conditions were good during the October harvest.
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Hay Harvested 2000
We harvested Alamo switchgrass three times with the first harvest taken in June (23 June, Cut 1-PM; 24 June, Cut 2-AM), the second harvest in June/July (30 June, Cut 1-PM; 1 July, Cut 2-AM), and the third harvest in July (16 July, Cut 1-PM; 17 July, Cut 2-AM). Weather during the haymaking was good but lower in total radiation than in 1998 (Table 1).
Hay Handling for All Years
All the hays for all the production years were field dried, baled, and stored in an enclosed barn before use in preference trials. No significant differences in dry matter were observed among the hays at feeding (data not shown). Just before feeding, and to assist animal consumption and avoid leaf loss, all hays were passed through a hydraulic Van Dale 5600 Bale Processor (J. Star Industries, Fort Atkinson, WI) with stationary knives spaced 10 cm apart.
Design of Preference Trials
With the hays produced in each year we conducted three preference experiments that differed in the animal species used. Using the hays produced in 1997 we conducted Experiment 1 utilizing cattle (Exp. 1), Experiment 2 utilizing goats (Exp. 2), and Experiment 3 utilizing sheep (Exp. 3). In the October harvest of 1997 hay production was limited and only permitted the inclusion of those six treatments in the sheep trial. Using the hays produced in 1998 we conducted Experiment 4 utilizing cattle (Exp. 4), Experiment 5 utilizing goats (Exp. 5), and Experiment 6 utilizing sheep (Exp. 6). Using the hays produced in 2000 we conducted Experiment 7 utilizing cattle (Exp. 7), Experiment 8 utilizing goats (Exp. 8), and Experiment 9 utilizing sheep (Exp. 9). In each of the three cattle experiments (Exp. 1, 4, and 7) different Hereford steers were used. In each of the three experiments with goats (Exp. 2, 5, and 8) different Spanish doe goats were used and in each of the three experiments with sheep (Exp. 3, 6, and 9) different Katahdin ewe sheep were used. Each experiment required six animals.
The protocol for animal care and health was approved by the North Carolina State University Institutional Animal Care and Use Committee (03-047-A). During an adaptation or training period (Kyriazakis et al., 1990), meals of individual hays were offered to allow the animal to associate the hay with post-ingestive consequences produced by the forage. We randomized the order in which the forages were offered to each animal. During each experimental phase, we presented all possible pairs of the hays for meals. The order of presentation of the pairs and the leftright position of the hays in the pair were randomized. The weight of hay was determined before and after feeding. This permitted calculation of dry matter (DM) consumed after adjusting for the DM concentration of the hay. Animals were individually penned in all three experiments. Sheep and goat pens were approximately 1.5 by 2 m. Cattle pens were approximately 2.5 by 4 m. We presented each pair of forages side by side with sheep and goats offered approximately 0.75 kg of each hay and allowed approximately 2.5 h to feed. At approximately 30 min after offering the feed, an intermediate forage weight was collected for the sheep and goats. This was used to calculate an initial intake rate by dividing hay disappearance over the first 30 min by the time in minutes. The cattle were led into the pens, offered approximately 2 kg of each hay, and allowed approximately 30 min to feed. Only two pens were available for cattle so approximately 2 h was required to finish each morning's pairs. Cattle were housed and fed in stalls for the remainder of the day. For the experiments with cattle, a time-lapse video recorder (Panasonic, Matsushita Electric Corp., Secaucus, NJ) was used to estimate the total time spent at each feeder to calculate intake rate by dividing hay disappearance by minutes at the feeder.
In all three experiments we took care to prevent consumption of all of the preferred hay and therefore to always offer a choice between the two hays in the pair. Each day, after the preference trial, sheep and goats were given ad libitum access to hays not included in the trials along with a trace mineralized salt block.
Sampling and Estimation of Forage Nutritive Value
In each experiment, forage samples were analyzed that were comprised of subsamples collected each time a hay was fed in a pair (n = 5). Samples were then composited for each animal and represented the forage offered to each animal. This included variation within the hay source as well as laboratory variation in our estimates of means (n = 6). The composite sample was dried at 55°C in a forced draft oven (Hot Pack Inc., Philadelphia, PA) and composition values were reported on a DM basis. Samples were ground to pass a 1-mm screen in a Wiley mill (Thomas Scientific, Swedesboro, NJ).
We utilized filter bag technology with a batch processor to estimate in vitro true dry matter disappearance (IVTD) of the hay samples (Ankom Technology Corp., Fairport, NY). Rumen inoculum was collected from a cannulated mature Hereford steer fed a mixed alfalfa (Medicago sativa L.) and orchardgrass (Dactylis glomerata L.) hay. After incubating for 48 h in a batch fermenter with ruminal inoculum the samples were extracted with neutral detergent solution for estimation of IVTD.
Neutral detergent fiber (NDF), acid detergent fiber (ADF), hemicellulose, cellulose, acid detergent lignin (ADL), and acid detergent insoluble ash (ADIA) were estimated according to Van Soest and Robertson (1980) in a batch processor (Ankom Technology Corp., Fairport, NY). Crude protein was estimated as 6.25 times the percentage of N determined with an AutoAnalyzer (Technicon Industrial Systems, Tarrytown, NY) (AOAC, 1990).
The total nonstructural carbohydrates (TNC) of the forage samples were analyzed by an adaptation (Fisher and Burns, 1987) of the method described by Smith (1969). The TNC were fractionated by differential solubility into soluble carbohydrate and starch. Starch was determined by digesting to glucose with amyloglucosidase and estimating the monomer concentration on a YSI Model 27 Industrial Analyzer utilizing an immobilized enzymatic membrane and a sensor (Yellow Springs Instrument Co., Yellow Springs, OH).
All samples were scanned for near-infrared reflectance spectroscopy (Foss Tecator, Eden Prairie, MN) and the observed values of a representative population were used to develop a prediction equation for all variables using the Modified Partial Least Squares procedure (Infrasoft Int., Foss Tecator, Eden Prairie, MN). The prediction equation was then used to predict each observation.
Statistical Analysis
The experimental design allowed statistical analysis by multidimensional scaling (Buntinx et al., 1997; Fisher et al., 1999, 2002; SAS, 1999) as well as by analysis of variance. The use of multidimensional scaling (MDS) makes it possible to develop the number of criteria (dimensions) that the subjects (animals) are using to judge the differences between stimuli (hays) (Buntinx et al., 1997). In this case, MDS is used to develop the dimensions that represent the differences among the treatments that were expressed as selective forage intake by the animals. To utilize MDS, preference is estimated as a difference ratio between each pair of hays by subtracting the amount consumed of the less preferred hay from the amount consumed of the more preferred hay and dividing by the sum of the two intakes. In this way, preference is expressed numerically as a number between zero and one. If the animal consumed equal quantities of the hays in the pair, then the difference ratio is equal to zero and no preference is expressed. If only one of the pair was consumed then the difference ratio is equal to one and the maximum difference in preference between hays is expressed. The statistical procedure (Proc MDS, SAS, Cary, NC) produces a spatial arrangement of the forages in a specified number of dimensions. Forages judged to be similar by the animals are close together in the dimensional space while those judged to be dissimilar are far apart in the dimensional space.
The MDS dimensions are orthogonal but the sign or orientation and relationship with measured explanatory variables must be developed by comparing the dimensions with other data and using correlation and regression for statistical description. As an example, MDS could be used to analyze a triangular matrix representing all the possible distances between a set of cities. The results could be used to determine if all the cities were located along a transect (one dimension) or were scattered in a two-dimensional space. The MDS dimensions would recreate a map of the city locations but the orientation and relationship to explanatory variables such as latitude and longitude could be a mirror image or reversed and it is sometimes convenient to change the signs of the MDS dimensions to make them easier to interpret.
The dimensions resulting from preferences expressed by the animals allows us to test for the number of dimensions being used as criteria but those dimensions must then be tested for relationship to observed forage parameters. It is also possible that the selection criteria used by the animal and elucidated by MDS are unrelated to the particular observations of forage composition selected by the experimenter. The experimenter may have overlooked a variable that was at least correlated with one or more of the criteria relevant for explaining the animal behavior. In these experiments, simple linear correlation was used to examine the relationship of DM intake and MDS dimensions to estimates of nutritive value. In this way we were able to describe intake in one (DM intake) and multiple (MDS) dimensions and we attempted to relate those dimensions to the nutritive value of the hay.
Each experiment was also tested by analysis of variance after averaging hay intake across all pairs by each animal. The analysis of variance included terms for animals and hays (Proc GLM, SAS, Cary, NC). Means were separated using the minimum significant difference (MSD) from the WallerDuncan k-ratio t test (k = 100) and contrast statements were also used for specific planned comparisons. Within analysis of variance and correlations statistical significance was assumed to be associated with probabilities less than or equal to 0.05.
| RESULTS AND DISCUSSION |
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Cattle 1997 Kanlow HaysExperiment 1
Although cattle had a strong preference for the first harvest of the Kanlow hays over the second harvest there was no significant preference for the PM hays when compared to the AM hays (P = 0.26; Table 2). Dimension 1 from the MDS analysis separated the harvests and Dimension 2 described variation within a harvest.
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The first MDS dimension was closely associated with harvest and strongly correlated with the fiber fractions NDF (P < 0.01), ADF (P < 0.01), cellulose (P < 0.01), hemicellulose (P = 0.01), lignin (P < 0.01), ADIA (P = 0.03), and IVTD (P < 0.01). The relationship with IVTD was positive but all other relationships were negative. None of the variables collected to describe nutritive value were correlated with the second MDS dimension. The high rainfall during haymaking for the first harvest and the low level of total radiation before the PM harvest for the second harvest may have affected the criteria used by the cattle to select hays. Even with the higher than desirable rainfall, the first harvest produced hay of good nutritive value. However, crude protein was low in both harvests. The low total radiation before the second harvest may have resulted in the low TNC observed for both the PM and AM harvest.
Goats 1997 Kanlow HaysExperiment 2
Goats had a strong preference for the first harvest of the Kanlow hays over the second harvest in addition to a preference for the PM hays when compared to the AM hays (Table 3). Once again, Dimension 1 from the MDS analysis separated the harvests and Dimension 2 described variation within a harvest.
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In the MDS analysis of the preferences expressed by goats, we found the first MDS dimension to be closely associated with harvest and strongly correlated with the constituent fiber fractions of NDF (P < 0.01), ADF (P = 0.01), cellulose (P = 0.02), hemicellulose (P = 0.04), lignin (P = 0.02), and with IVTD (P < 0.01). The relationship with IVTD was positive but all other relationships were negative. None of the variables collected to describe nutritive value were correlated with the second MDS dimension.
Sheep 1997 Kanlow HaysExperiment 3
The sheep preferred the first and third harvests of the Kanlow hays over the second harvest. However, there was no significant preference for the PM hays when compared with the AM hays (P = 0.59; Table 4). Dimension 1 from the MDS analysis separated the first and second harvests but Dimension 2 was important in describing differences between the third harvest and the other harvests.
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The first MDS dimension was associated with harvest and correlated with NDF (P = 0.05), lignin (P < 0.01), and IVTD (P < 0.01). The relationship with IVTD was positive but the other two relationships were negative. None of the variables collected to describe nutritive value were correlated with the second MDS dimension.
Cattle 1998 Kanlow and Alamo Hays Experiment 4
In the comparison of the harvests of Kanlow switchgrass with a harvest of two N levels in the production of Alamo switchgrass the cattle did not prefer the PM harvest over the AM harvest (P = 0.51; Table 5). The later harvests of Alamo were preferred over the earlier harvests of Kanlow and the higher N Alamo treatment was preferred over the lower N Alamo treatment. Dimension 1 from the MDS analysis separated the Kanlow harvests from the Alamo harvest and the second dimension described differences in preference within a cultivar.
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The first MDS dimension was associated with the combination of cultivar and harvest. It was correlated with NDF (P < 0.01), ADF (P < 0.01), cellulose (P < 0.01), lignin (P < 0.01), IVTD (P < 0.01), crude protein (P < 0.01), starch (P = 0.02), and TNC (P = 0.04). The relationships between the first MDS dimension and IVTD, crude protein, starch, and TNC were positive but the relationships with the fiber fractions were negative. Hemicellulose was positively correlated with the second MDS dimension.
Goats 1998 Kanlow and Alamo Hays Experiment 5
As was the case for the cattle in Exp. 4, in the comparison of the harvests of Kanlow switchgrass with a harvest of two N levels in the production of Alamo switchgrass, the goats did not have a greater intake (P = 0.26) or intake rate (P = 0.24) for the PM harvest over the AM harvest (Table 6). The later harvests of Alamo were preferred over the earlier harvests of Kanlow and the higher N Alamo treatment was preferred over the lower N Alamo treatment as expressed by total intake and intake rate. Dimension 1 from the MDS analysis separated the Kanlow harvests from the Alamo harvest and the second dimension described differences within a cultivar.
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The first MDS dimension was associated with the combination of cultivar and harvest. It was correlated with NDF (P < 0.01), ADF (P < 0.01), cellulose (P < 0.01), lignin (P < 0.01), IVTD (P < 0.01), crude protein (P = 0.01), starch (P = 0.01), soluble carbohydrate (P = 0.01), and TNC (P = 0.01). The relationships between the first MDS dimension and IVTD, crude protein, starch, soluble carbohydrate, and TNC were positive but the relationships with the fiber fractions were negative. The second MDS dimension was positively correlated with ADIA (P = 0.03).
Sheep 1998 Kanlow and Alamo Hays Experiment 6
In contrast to the cattle (Exp. 4) and goats (Exp. 5), the sheep preference for the PM harvested hays was expressed in both increased intake and intake rate in this collection of hays. The later harvests of Alamo were preferred over the earlier harvests of Kanlow and the higher N Alamo treatment was preferred over the low N Alamo treatment as expressed by total intake and intake rate (Table 7). Dimension 1 from the MDS analysis separated the Kanlow harvests from the Alamo harvest and the second dimension principally described differences within a cultivar.
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The first MDS dimension was associated with the combination of cultivar and harvest. It was correlated with NDF (P < 0.01), ADF (P < 0.01), cellulose (P < 0.01), lignin (P < 0.01), IVTD (P < 0.01), crude protein (P = 0.01), starch (P < 0.01), soluble carbohydrate (P = 0.03), and TNC (P = 0.01). The relationships between the first MDS dimension and IVTD, crude protein, starch, soluble carbohydrate, and TNC were positive but the relationships with the fiber fractions were negative. The second MDS dimension was not correlated with any of the estimates of nutritive value that we measured.
Cattle 2000 Alamo HaysExperiment 7
Within the collection of six Alamo hays representing three paired PM and AM harvests cattle did not prefer the PM harvest over the AM harvest as expressed by intake. Intake rate was higher in the AM hays (Table 8). The results of the MDS analysis indicate that the selection was based on more than one dimension but they were not as simply related to the harvests as in the previous six experiments. Note that there were no differences between the six hays as expressed in cattle intake (MSD = 215). Based on the results of the intake measurements and the MDS analysis, these hays were particularly difficult for the cattle to rank.
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Goats 2000 Alamo HaysExperiment 8
In contrast to the cattle, the goats preferred the PM harvested Alamo hays as expressed by both intake and intake rate (Table 9). As was the case with the cattle, the results of the MDS analysis indicate that the selection was based on more than one dimension but they were not as simply related to the harvests as in the previous six experiments. The goats did have significant variation among the intakes of the six hays (MSD = 23) but these hays were more similar and difficult to rank since no harvest had both hays either higher or lower in intake than any other harvest. For example, even though the AM cut of the first harvest had a lower intake than any other harvest (102 g) the PM cut of the same harvest had an intake (160 g) that was only significantly lower than the PM cut of the second harvest.
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The first MDS dimension was correlated with ADF (P = 0.03), cellulose (P = 0.03), and lignin (P = 0.04). These relationships were negative and none of our observed estimates of composition were correlated with the second MDS dimension.
Sheep 2000 Alamo HaysExperiment 9
In contrast to the cattle and similar to the results using goats, the sheep preference for the PM harvested Alamo hays was expressed by both intake and intake rate (Table 10). However, the results of the MDS analysis indicate that the selection was based on more than one dimension without a simple relationship. For example, the PM hays from the second and third harvest are judged to be similar and placed near each other in the dimensional space. The coordinates for the PM hay of the second harvest are 1.15 and 0.64. The coordinates for the third PM harvest are 1.27 and 0.24. In contrast, the first harvest PM hay was also a preferred hay and the coordinates were 1.22 and 0.13. As was the case for the goats (Exp. 8), the sheep had significant variation among the intakes of the six hays (MSD = 46) but the hays were apparently too complex to rank based on the results of MDS.
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The first MDS dimension was correlated with crude protein (P < 0.01). None of our observed estimates of composition were correlated with the second MDS dimension.
| SUMMARY |
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In Experiments 4, 5, and 6 the variation in nitrogen fertility permitted a comparison of hays containing increased crude protein (CP) and reduced soluble and structural carbohydrate to hays with lower CP and increased soluble and structural carbohydrate. In this comparison, the animals preferred the hays with increased CP even though they had reduced soluble carbohydrate. In each of the nine experiments we were able to deliver PM feeds, as fed, with TNC greater than the AM feeds. The differences we observed in the composition of hays harvested at the same time and fed to cattle, sheep, and goats illustrates the importance of sampling the feed as delivered to the animal. Variation within the hay supply and over time are often not accounted for by sampling schemes that only sample the supply as harvested. The procedure used in these nine experiments allowed for variation in composition of hays actually delivered at the feed bunk to be represented within the error term.
The PM feeds were only 7 to 12 g kg1 of TNC greater than the AM feeds. This range in TNC between PM and AM is similar to the range reported from fescue (1018 g kg1) and alfalfa (1019 g kg1). However, in the case of both fescue and alfalfa we were able to deliver hays "as fed" with higher IVTD. The IVTD of the PM hays was only higher in Exp. 8 and 9. In these experiments significant preferences for the PM hays were expressed by goats and sheep as increased intake and intake rate. The IVTD of the "as fed" material for the cattle was never higher for the PM harvested hays than the AM harvested hays and the cattle did not express a preference for the PM harvested hays. In comparison of previously published studies, the fiber fractions in these experiments were often similar for the AM and PM harvested hays. For example, the NDF of the PM harvested hay was lower than the AM hay in only five of nine experiments.
The results of MDS analysis indicated the importance of fiber content and digestibility as selection criteria. Fiber and digestibility were important in explaining the first dimension of Experiments 1 through 6. Soluble carbohydrate was also important in Experiments 4 though 5. In six out of nine experiments we did not have a composition variable correlated with the second dimension of MDS. This would indicate that the animals were basing selection on a variable that was not even correlated with one of our composition variables. The suite of improvements associated with PM harvested hays in fiber content, nonstructural carbohydrate, and particularly digestibility observed previously for alfalfa and fescue hays in the western USA (Fisher et al. (1999, 2002) were difficult to reproduce with switchgrass hay in the southeastern USA. This difficulty is likely related to the less favorable environment for haymaking as well as the physiology, anatomy, and morphology of this C4 grass.
Received for publication June 30, 2004.
| REFERENCES |
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