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Research| Volume 104, ISSUE 9, P9842-9852, September 2021

Partial replacement of corn silage with whole-plant soybean and black oat silages for dairy cows

Open ArchivePublished:June 04, 2021DOI:https://doi.org/10.3168/jds.2021-20200

      ABSTRACT

      This study aimed to evaluate the effects of partially replacing corn silage (CS) with whole-plant soybean silage (SS) or black oat silage (OS) on nutrient intake and digestibility, in vitro neutral detergent fiber degradability of silages, feeding behavior, rumen fermentation, and performance of dairy cows. Twenty-four lactating Holstein cows (6 of which were rumen-cannulated) with 32.5 ± 4.92 kg/d milk yield, 150 ± 84.8 days in milk, and 644 ± 79.0 kg of body weight were used in a 3 × 3 Latin square design to evaluate the following treatments: (1) corn silage diet (CSD): using corn silage as the only forage source in the diet [48% dietary dry matter (DM)]; (2) whole-plant soybean silage diet (SSD): SS replacing 16% of corn silage from CSD; and (3) black oat silage diet (OSD): OS replacing 16% of corn silage from CSD. The inclusion of OS and SS decreased intakes of DM, organic matter, and crude protein. Corn silage had the greatest in vivo effective degradability of DM, and SS had the least effective degradability of neutral detergent fiber. The OSD treatment decreased milk and protein yields, whereas SSD increased rumen ammonia nitrogen concentration compared with the other diets. Cows fed OSD exhibited a greater preference for feed with small particles (<4 mm) compared with those fed SSD. Cows fed treatments containing either SS or OS at the expense of CS had increased rumination and chewing activities. Although replacing CS with OS and SS reduced feed intake, SS had no effect on productive performance of dairy cows.

      Key words

      INTRODUCTION

      Roughages are essential in diets of dairy cattle given their role in stimulating chewing, rumination, production of saliva, and being an energy source for rumen microorganisms (
      • Tafaj M.
      • Zebeli Q.
      • Maulbetsch A.
      • Steingaß H.
      • Drochner W.
      Effects of fiber concentration of diets consisting of hay and slowly degradable concentrate on ruminal fermentation and digesta particle size in mid-lactation dairy cows.
      ). Corn is the most widely grown crop for silage on Brazilian dairy farms (
      • Bernardes T.F.
      • do Rêgo A.C.
      Study on the practices of silage production and utilization on Brazilian dairy farms.
      ); however, consistently cropping corn as a monoculture can negatively affect nutrient extraction from the soil and increase the odds of erosion (
      • Ueno R.K.
      • Neumann M.
      • Marafon F.
      • Basi S.
      Dynamics of nutrients in the soil in areas intended for the production of forage maize (Zea mays L.).
      ). Complementary seasonal crops such as black oat (winter crop) and whole-plant soybean (second summer crop) have been used as a tool to minimize land idleness (
      • Ferrazza J.M.
      • Soares A.B.
      • Martin T.N.
      • Assmann A.L.
      • Migliorini F.
      • Nicola V.
      Dinâmica de produção de forragem de gramíneas anuais de inverno em diferentes épocas de semeadura.
      ), to increase nutrient cycling and nitrogen fixation in the soil (
      • Stagnari F.
      • Maggio A.
      • Galieni A.
      • Pisante M.
      Multiple benefits of legumes for agriculture sustainability: An overview.
      ), and to maintain soil coverage throughout the year.
      Although several studies have suggested that NDF content (69.9–74.5%) of black oat silage (OS) is the limiting factor for performance (
      • Meinerz G.R.
      • Olivo J.C.
      • Viégas J.
      • Nörnberg J.L.
      • Agnolin C.A.
      • Scheibler R.B.
      • Horst T.
      • Fontaneli R.S.
      Silage of winter cereals submitted to double purpose management.
      ;
      • Lehmen R.I.
      • Fontaneli R.S.
      • Fontaneli R.S.
      • Santos H.P.
      Rendimento, valor nutritivo e características fermentativas de silagens de cereais de inverno.
      ;
      • Leão G.F.M.
      • Jobim C.C.
      • Neumann M.
      • Horst E.H.
      • Santos S.K.S.
      • Venancio B.J.
      • Santos L.C.
      Nutritional composition and aerobic stability of winter cereal silage at different storage times.
      ),
      • Salgado P.
      • Thang V.Q.
      • Thu T.V.
      • Trach N.X.
      • Cuong V.C.
      • Lecomte P.
      • Richard D.
      Oats (Avena strigosa) as winter forage for dairy cows in Vietnam: An on-farm study.
      reported an increase of CP intake and a trend toward increased FCM yield without affecting DMI when including OS in diets of lactating cows, indicating that the previous results might be related to the fiber quality of tested forages.
      Because whole-plant soybean silage (SS) has greater CP content than corn silage (CS; 134 vs. 83.9 g/kg of DM;
      • Ghizzi L.G.
      • Del Valle T.A.
      • Zilio E.M.C.
      • Sakamoto L.Y.
      • Marques J.A.
      • Dias M.S.S.
      • Nunes A.T.
      • Gheller L.S.
      • de P. Silva T.B.
      • Grigoletto N.T.S.
      • Takiya C.S.
      • da Silva G.G.
      • Rennó F.P.
      Partial replacement of corn silage with soybean silage on nutrient digestibility, ruminal fermentation and milk fatty acid profile of dairy cows.
      ), replacing CS with SS may reduce the use of soybean meal or other protein feeds in diets of lactating cows (
      • Baghdadi A.
      • Halim R.A.
      • Radziah O.
      • Martini M.Y.
      • Ebrahimi M.
      Fermentation characteristics and nutritive value of corn silage intercropped with soybean under different crop combination ratios.
      ). However, the quality of SS may limit the performance of dairy cows (
      • Ghizzi L.G.
      • Del Valle T.A.
      • Zilio E.M.C.
      • Sakamoto L.Y.
      • Marques J.A.
      • Dias M.S.S.
      • Nunes A.T.
      • Gheller L.S.
      • de P. Silva T.B.
      • Grigoletto N.T.S.
      • Takiya C.S.
      • da Silva G.G.
      • Rennó F.P.
      Partial replacement of corn silage with soybean silage on nutrient digestibility, ruminal fermentation and milk fatty acid profile of dairy cows.
      ).
      • Ghizzi L.G.
      • Del Valle T.A.
      • Zilio E.M.C.
      • Sakamoto L.Y.
      • Marques J.A.
      • Dias M.S.S.
      • Nunes A.T.
      • Gheller L.S.
      • de P. Silva T.B.
      • Grigoletto N.T.S.
      • Takiya C.S.
      • da Silva G.G.
      • Rennó F.P.
      Partial replacement of corn silage with soybean silage on nutrient digestibility, ruminal fermentation and milk fatty acid profile of dairy cows.
      ) found that replacing up to 50% of CS with SS linearly decreased milk yield without affecting feed efficiency (milk yield/DMI) and milk fat content of cows.
      Despite the agronomical benefits of soybean and black oat crops, the literature lacks studies evaluating the partial inclusion of SS and OS in diets of dairy cows. We hypothesized that the partial replacement of CS with SS or OS would sustain intake and digestibility of nutrients, rumen fermentation, and productivity of dairy cows. This experiment was carried out to evaluate the effects of SS and OS on silage in vitro degradability, feed intake and digestibility, sorting index, feeding behavior, rumen fermentation, and milk yield and composition of cows.

      MATERIALS AND METHODS

      The experiment was conducted at the Dairy Cattle Research Laboratory of the Department of Animal Nutrition and Animal Production, Pirassununga, Brazil. Experimental procedures were approved by the Ethics Committee on Animal Use of the School of Veterinary Medicine and Animal Sciences of the University of São Paulo (protocol number 3302101018).

      Animals and Treatments

      Twenty-four Holstein cows (6 of which were rumen cannulated), with milk yield of 32.5 ± 4.92 kg/d, 150 ± 85 DIM, and 644 ± 79 kg of BW (mean ± SD), were blocked by milk yield and parity and randomly assigned to a treatment sequence in a 3 × 3 Latin square design balanced for carryover effects. The experimental treatments were (1) corn silage diet (CSD), using corn silage as the only forage source; (2) soybean silage diet (SSD), replacing corn silage with SS; and (3) oat silage diet (OSD), replacing corn silage with OS. The alternative silages replaced 16% of silage DM. Diets were formulated according to
      • NRC (National Research Council)
      Nutrient Requirements of Dairy Cattle.
      and provided as TMR with a 48:52 forage-to-concentrate ratio (Table 1). The CS replacement rate was set based on results of a soybean silage study reported in
      • Ghizzi L.G.
      • Del Valle T.A.
      • Zilio E.M.C.
      • Sakamoto L.Y.
      • Marques J.A.
      • Dias M.S.S.
      • Nunes A.T.
      • Gheller L.S.
      • de P. Silva T.B.
      • Grigoletto N.T.S.
      • Takiya C.S.
      • da Silva G.G.
      • Rennó F.P.
      Partial replacement of corn silage with soybean silage on nutrient digestibility, ruminal fermentation and milk fatty acid profile of dairy cows.
      , in which forage replacement rates >16% impaired productivity (milk yield and FCM) of cows according to the Tukey-Kramer honestly significant difference test. Experimental periods lasted 21 d, with 14 d for adaptation to diets and 7 d for sampling. Cows were housed in individual pens (17.5 m2) containing fans, individual feed bunks, sand bedding, and free access to water.
      Table 1Ingredients and chemical composition of the experimental diets (% of DM, unless otherwise stated)
      ItemDiet
      The experimental diets were formulated according to NRC (2001) to meet the nutrient requirements of cows with 662 kg BW, 150 DIM, 32 kg/d milk yield, and 3.5% milk fat. CSD: corn silage (CS)-based diet; OSD: replacement of CS with oat silage at 16.0%; and SSD: replacement of CS with soybean silage at 16.0%.
      CSDOSDSSD
      Ingredient
       Corn silage48.040.040.1
       Black oat silage8.00
       Whole-plant soybean silage8.01
       Ground corn18.318.719.6
       Soybean meal13.813.812.7
       Citrus pulp8.208.008.02
       Whole raw soybean6.476.416.44
       Bypass soybean meal
      Soypass (Cargill).
      2.122.002.06
       Mineral premix
      Each kilogram contained 235 g of Ca, 60 g of P, 20 g of Mg, 70 g of Na, 20g of S, 15 mg of Co, 700 mg of Cu, 10 mg of Cr, 40 mg of I, 600 mg of Fl, 1,600 mg of Mn, 20 mg of Se, 2,500 mg of Zn, 200,000 IU of vitamin A, 50,000 IU of vitamin D3, and 1,500 IU of vitamin E.
      1.291.291.29
       Sodium bicarbonate0.830.810.80
       Limestone0.730.730.72
       Salt0.260.260.26
      Chemical composition
       DM, g/kg, as-fed42.640.440.8
       NDF34.435.333.8
       NFC
      Estimated according to Hall (2000).
      39.037.939.0
       ADF25.831.228.2
       Forage NDF27.027.826.5
       Starch19.016.517.2
       CP16.416.416.5
       RDP
      Estimated according to NRC (2001).
      10.410.410.5
       RUP
      Estimated according to NRC (2001).
      6.006.006.00
       Ether extract3.903.904.30
      NEL(3×) (Mcal/kg of DM)
      Estimated at 3 times the maintenance level according to NRC (2001).
      1.581.571.59
      Particle size distribution (% as-fed)
       >19 mm8.0412.311.4
       19–8 mm36.034.037.2
       8–4 mm20.521.721.7
       <4 mm35.531.029.7
      1 The experimental diets were formulated according to
      • NRC (National Research Council)
      Nutrient Requirements of Dairy Cattle.
      to meet the nutrient requirements of cows with 662 kg BW, 150 DIM, 32 kg/d milk yield, and 3.5% milk fat. CSD: corn silage (CS)-based diet; OSD: replacement of CS with oat silage at 16.0%; and SSD: replacement of CS with soybean silage at 16.0%.
      2 Soypass (Cargill).
      3 Each kilogram contained 235 g of Ca, 60 g of P, 20 g of Mg, 70 g of Na, 20g of S, 15 mg of Co, 700 mg of Cu, 10 mg of Cr, 40 mg of I, 600 mg of Fl, 1,600 mg of Mn, 20 mg of Se, 2,500 mg of Zn, 200,000 IU of vitamin A, 50,000 IU of vitamin D3, and 1,500 IU of vitamin E.
      4 Estimated according to

      Hall M. B., 2000. Calculation of non-structural carbohydrate content of feeds that contain non-protein nitrogen. Bulletin 339:25 (University of Florida, Gainesville.).

      .
      5 Estimated according to
      • NRC (National Research Council)
      Nutrient Requirements of Dairy Cattle.
      .
      6 Estimated according to
      • NRC (National Research Council)
      Nutrient Requirements of Dairy Cattle.
      .
      7 Estimated at 3 times the maintenance level according to
      • NRC (National Research Council)
      Nutrient Requirements of Dairy Cattle.
      .
      Both SS (hybrid Agroeste 3610 I PRO, Agroeste) and CS (hybrid Biomatrix 3063, Agroceres) were produced at the Dairy Cattle Research Laboratory, whereas OS (hybrid IAPAR 61, Embrapa) was provided by Agropecuária Leffers. Chemical composition of silages are shown in Table 2.
      Table 2Chemical composition of the experimental silages (% of DM, unless otherwise stated)
      Chemical compositionSilage
      Corn: harvested at the phenological stage R5–beginning of the development of the milk line Ritchie et al. (1989). Black oat: harvested in a late cycle–from emergence to full bloom (Sá, 1995). Whole soybean plant: harvested at the phenological stage R5–beginning seeds (Fehr and Caviness, 1977).
      CornBlack oatSoybean
      DM, % as-fed27.622.623.5
      OM95.591.490.4
      NDF57.871.454.8
      ADF42.754.148.0
      NFC
      Estimated according to Hall (2000).
      27.012.318.4
      Starch20.516.415.6
      iNDF
      Indigestible NDF.
      21.530.631.1
      Lignin7.458.0213.0
      CP8.485.6112.6
      NDIP
      Neutral detergent insoluble protein.
      1.411.072.63
      ADIP
      Acid detergent insoluble protein.
      1.100.9125.1
      Ether extract2.192.064.40
      1 Corn: harvested at the phenological stage R5–beginning of the development of the milk line
      • Ritchie S.W.
      • Hanway J.J.
      • Benson G.O.
      How a corn plant develops.
      . Black oat: harvested in a late cycle–from emergence to full bloom (
      • Sá J.P.G.
      Utilização da aveia na alimentação animal. Londrina.
      ). Whole soybean plant: harvested at the phenological stage R5–beginning seeds (
      • Fehr W.R.
      • Caviness C.E.
      Stages of soybean development. Iowa Coop. Ext. Serv. Spec. Rep. 80.
      ).
      2 Estimated according to

      Hall M. B., 2000. Calculation of non-structural carbohydrate content of feeds that contain non-protein nitrogen. Bulletin 339:25 (University of Florida, Gainesville.).

      .
      3 Indigestible NDF.
      4 Neutral detergent insoluble protein.
      5 Acid detergent insoluble protein.

      Sampling

      Cows were fed twice daily (0700 and 1300 h) and refusals targeted 5 to 10% (as-fed). Silages, TMR, and refusals were collected daily throughout the sampling periods, pooled into a composite sample per cow per period, and frozen (−20°C) for further analyses. Samples of ingredients in concentrate [ground corn, soybean meal, whole raw soybean, citrus pulp, bypass soybean meal (Soypass, Cargill), mineral premix, sodium bicarbonate, limestone, and salt] were collected once during each experimental period. Refusals and TMR were sampled on d 15 and 16 for particle size distribution (Penn State Particle Separator;
      • Heinrichs A.J.
      • Kononoff P.J.
      Evaluating particle size of forages and TMRs using the New Penn State forage particle separator. Technical Bulletin of the Pennsylvania State University, College of Agricultural Sciences. Cooperative Extension. Jul. 15, 2018.
      ), and sorting index was calculated according to
      • Silveira C.
      • Oba M.
      • Yang W.Z.
      • Beauchemin K.A.
      Selection of barley grain affects ruminal fermentation, starch digestibility, and productivity of lactating dairy cows.
      . Fecal samples were collected every 9 h on d 18, 19, and 20 of each experimental period and frozen. At the end of each period, fecal samples were thawed and pooled into composite sample per cow.
      On d 21 of each experimental period, samples of rumen content were collected from cannulated cows before (0) and at 2, 4, 6, 8, 10, 12, 14, and 16 h after the morning feeding. The rumen digesta was squeezed in 4 layers of cheesecloth to extract the rumen fluid. Afterward, the pH of rumen fluid was measured (MB-10, Marte Científica), and an aliquot (50 mL) from each time point was frozen for further analysis of ammonia nitrogen (NH3-N) and short-chain fatty acids (SCFA).
      Feeding behavior was monitored every 5 min between 0600 h of d 15 and 0600 h of d 17 in each experimental period for cows' activity (eating, drinking, standing, lying down, and milking times). Rumination activity was recorded using an electronic monitoring system (HealthyCow 24 Solution, SCR Allflex) in a collar attached to the cows. According to these activities, the index of rumination, idling [24 h − (eating + drinking + milking)], and chewing (rumination + eating) were calculated.
      Cows were milked twice daily (0600 and 1600 h). Milk samples were collected from each cow (350 mL) for 3 consecutive days (15, 16, and 17 d) and analyzed fresh for contents of fat, protein, and lactose by mid-infrared methodology (Lactoscan, Entelbra, São Paulo, Brazil). The milk sampled on d 16 was deproteinized with trichloroacetic acid solution (25%) for MUN and allantoin analyses. Body condition score (
      • Edmonson A.J.
      • Lean I.J.
      • Weaver L.D.
      • Farver T.
      • Webster G.
      A body condition scoring chart for Holstein dairy cows.
      ) and BW were measured on d 20 and 21 of each experimental period. Body weight was measured before the morning feeding and after milking using a digital scale (AWS100, DeLaval).
      Blood samples were collected from tail vessels in Vacutainers without clot activator (BD Vacutainer, Becton, Dickinson and Co.) on d 17, 4 h after the morning feeding. Blood serum was collected after clot formation and centrifugation (2,000 × g for 15 min at room temperature) for further serum glucose analysis. Urine samples were collected at the same time points of fecal sampling. Immediately after collection, 20 mL of filtered urine was diluted in sulfuric acid solution (80 mL, 0.036 N) to prevent bacterial destruction of purine derivatives (PD) and uric acid precipitation (
      • Chen X.B.
      • Gomes M.J.
      Estimation of microbial protein supply to sheep and cattle based on urinary excretion of purine derivatives: An overview of technical details.
      ). Urine samples were then stored frozen until creatinine, allantoin, uric acid, and N analyses.

      In Vitro Ruminal Degradability of Silages

      Silage samples were collected on each experimental period, dried in a forced-air oven at 55°C for 24 h, and ground to pass through 2-mm sieve. Ground samples (600 mg) were placed in prewashed nonwoven tissue bags (25 μm porosity and 5 × 5 cm). One bag from each silage within each period (9 in total) were placed in bags of plastic nets (15 × 30 cm) for in vitro incubation. One plastic net bag for each time point (3, 8, 16, 24, 48, 72, and 96 h) of incubation was prepared and incubated in quadruplicate (one plastic net bag on each incubator jar). Periods were used as repetitions for statistical analysis.
      To prepare the incubation medium, rumen digesta was collected from 4 cannulated cows previously adapted (14 d) to the CSD treatment. Samples of rumen fluid and solid phase (1:1, vol/vol) from the same animal were homogenized in a blender for 10 s and then filtered through 4 layers of cheesecloth (35 μm porosity;
      • Bueno I.C.S.
      Cinética digestiva e síntese microbiana ruminal em ovinos alimentados com fenos de três qualidades distintas.
      ). After filtering, ruminal fluid (400 mL) was mixed with buffer and mineral solution (1.6 L) for incubation. The buffer and mineral solutions were prepared according to
      • McDougall E.I.
      Studies on ruminant saliva. 1. The composition and output of sheep's saliva.
      and
      • Williams B.A.
      Cumulative gas-production techniques for forage evaluation.
      . The previous solution remained under continuous CO2 bubbling until no oxygen was detected, indicated by the color change of the liquid from blue to pink. Samples and incubation medium were placed in incubation jars and maintained in a Daisy in vitro system (Ankom Technology Corp.) at 9 rpm and 39°C. The incubation medium prepared from the rumen digesta of each cow was placed in different jars. One plastic net was removed from each incubation jar after 3, 8, 16, 24, 48, 72, and 96 h of incubation (
      • Bueno I.C.S.
      Cinética digestiva e síntese microbiana ruminal em ovinos alimentados com fenos de três qualidades distintas.
      ). One plastic net with silage samples was submerged in the incubation solution for 5 min to account for time point 0 (
      • Benchaar C.
      • Petit H.V.
      • Berthiaume R.
      • Whyte T.D.
      • Chouinard P.Y.
      Effects of addition of essential oils and monensin premix on digestion, ruminal fermentation, milk production, and milk composition in dairy cows.
      ).
      Small bags were washed in running tap water, dried in a forced-air oven at 55°C for 24 h, and subsequently at 105°C for 2 h. Bags were then weighed and analyzed for DM (method 930.15;
      • AOAC International
      Official Methods of Analysis.
      ) and NDF using α-amylase without sodium sulfite in the detergent solution (Undersander et al., 1992). Based on the disappearance of DM and NDF throughout the time points, rumen degradability (DEG) and effective degradability (ED) were estimated following the models proposed by
      • Van Milgen J.
      • Murphy M.R.
      • Berger L.L.
      A compartmental model to analyze ruminal digestion.
      and
      • Ørskov E.R.
      • McDonald I.
      The estimation of protein degradability in the rumen from incubation measurements weighted according to rate of passage.
      , respectively:
      DEG(g/kg)=C+B×(1+λ×t)×exp(-λ×t),


      where C is the indigestible fraction, B is the potentially degradable fraction, λ is the constant rate of degradation, t is the time of incubation, and:
      ED(g/kg)=1,000-[C+B(kpbkdb+kp)],


      where kpb is the passage rate for fraction B, and kdb is the constant degradation rate of fraction B. Effective degradation was calculated considering 20, 50, and 70 g/kg per hour as passage rates (kp); C and B were as previously described.

      Chemical Analysis and Calculations

      Feeds, refusals, and feces were dried in a forced-air oven at 55°C during 72 h, and ground in a knife mill (MA340, Marconi) to pass through 1-mm and 2-mm screens. Samples ground to pass a 1-mm screen were analyzed for DM (method 930.15), ash (method 942.05), OM (DM − ash), CP (method 984.13, N × 6.25, Kjeldahl method), lignin (method 973.18), and ether extract (EE; method 920.39) according to
      • AOAC International
      Official Methods of Analysis.
      . The NDF content was analyzed according to Undersander et al. (1992), and ADF was analyzed according to
      • van Soest P.J.
      • Mason V.C.
      The influence of Maillard reaction upon the nutritive value of fibrous feeds.
      . Fiber analyses were performed in a fiber analyzer (TE-149 fiber analyzer, Tecnal Equipamentos Científicos). Samples NFC content was calculated according to Hall et al. (2000), as follows: NFC = 1,000 – [(NDF – NDIN) × 6.25 + CP + EE + ash] with values expressed in grams per kilogram. Feed ingredients were analyzed for acid detergent insoluble protein and neutral detergent insoluble protein according to
      • Licitra G.
      • Hernandez T.M.
      • Van Soest P.J.
      Standardization of procedures for nitrogen fractionation of ruminant feeds.
      . Ingredients were also analyzed for starch through an enzymatic degradation method (Amyloglucosidase, Novozymes) and absorbance measured on a semi-automatic spectrophotometer (SBA-200, CELM) according to
      • Hendrix D.L.
      Rapid extraction and analysis of nonstructural carbohydrates in plant tissues.
      .
      Samples ground to pass a 2-mm screen were placed (0.5 g) in 5 × 5 cm nonwoven fabric bags (20 mg of DM/cm2 of surface;
      • Casali A.O.
      • Detmann E.
      • Valadares Filho S.D.C.
      • Pereira J.C.
      • Henriques L.T.
      • Freitas S.G.D.
      • Paulino M.F.
      Influência do tempo de incubação e do tamanho de partículas sobre os teores de compostos indigestíveis em alimentos e fezes bovinas obtidos por procedimentos in situ.
      ) and incubated in the rumen of 2 cannulated cows acclimated to the CSD diet for 288 h (
      • Huhtanen P.
      • Kaustell K.
      • Jaakkola S.
      The use of internal markers to predict total digestibility and duodenal flow of nutrients in cattle given six different diets.
      ) to estimate the indigestible NDF. Indigestible NDF was used as an internal marker to estimate daily fecal excretion and to calculate the digestibility of DM and nutrients based on the following equations:
      DMdigestibility(%)=100-[100×(%iNDFintake%iNDFinfeces)],


      and
      Nutrientdigestibility(%)=100-[100×(%iNDFintake%iNDFinfeces)×(%nutrientinfeces%nutrientintake)].


      Rumen fluid samples were centrifuged (2,000 × g for 15 min at room temperature), and 1.8 mL of the supernatant was pipetted into a centrifuge tube containing 400 μL of orthophosphoric acid solution (1 N) for SCFA analysis. Peaks of SCFA were measured on gas chromatograph (Shimadzu GC-2010 Plus) equipped with an automatic flame injector (AOC-20i, Stabilwax-DA 30-m capillary column, 0.25 mm internal diameter, 0.25-μm film thickness, Restek) and a flame ionization detector, as described by
      • Del Valle T.A.
      • Zenatti T.F.
      • Antonio G.
      • Campana M.
      • Gandra J.R.
      • Zilio E.M.C.
      • de Mattos L.F.A.
      • de Morais J.G.P.
      Effect of chitosan on the preservation quality of sugarcane silage.
      . Another aliquot from the supernatant (800 μL) was mixed with sulfuric acid solution (400 μL at 1 N) for NH3-N determination using the phenol-hypochlorite method (
      • Broderick G.A.
      • Kang J.H.
      Automated simultaneous determination of ammonia and total amino acids in ruminal fluid and in vitro media.
      ).
      Daily urinary excretion was estimated based on the creatinine concentration in urine, considering a daily excretion of 0.212 mmol of creatinine per kg of BW as reported by
      • Chizzotti M.L.
      • Valadares Filho S.D.C.
      • Valadares R.F.D.
      • Chizzotti F.H.M.
      • Tedeschi L.O.
      Determination of creatinine excretion and evaluation of spot urine sampling in Holstein cattle.
      . The creatinine and uric acid in urine were analyzed using commercial kits (Bioclin) and absorbances measured on a biochemistry analyzer (SBA-200, CELM). Allantoin concentrations in urine and milk were analyzed according to
      • Chen X.B.
      • Gomes M.J.
      Estimation of microbial protein supply to sheep and cattle based on urinary excretion of purine derivatives: An overview of technical details.
      and absorbances measured on a microplate reader (Biochrom Asys UVM 340 Microplate Reader). The absorbed PD (mmol/d) was calculated based on the excretion of PD (mmol/d) in milk and urine, using the equation
      AbsorbedPD=PD-(0.512×BW0.75)0.84,


      where PD is the sum of excreted PD, 0.512 × BW0.75 represents the endogenous excretion of PD, and 0.84 is the recovery of absorbed PD (
      • Gonzalez-Ronquillo M.
      • Balcells J.
      • Guada J.A.
      • Vicente F.
      Purine derivative excretion in dairy cows: Endogenous excretion and the effect of exogenous nucleic acid supply.
      ). Microbial protein synthesis (MPS; grams of N per day) was calculated as
      MPS(g/d)=(70×AbsorbedPD)0.83×0.116×1,000,


      where 70 is N concentration in the PD (mg/mol), 0.83 is the intestinal digestibility of purines, and 0.116 is the purine-to-N ratio (
      • Chen X.B.
      • Gomes M.J.
      Estimation of microbial protein supply to sheep and cattle based on urinary excretion of purine derivatives: An overview of technical details.
      ).
      The nitrogen balance was calculated as the difference between the total nitrogen intake (total N; CP intake/6.25) and the total nitrogen excreted in the feces (fecal N; fecal excretion × N fecal content), in the urine (urinary N; by method 984.13;
      • AOAC International
      Official Methods of Analysis.
      ), and secreted in milk (milk N); milk yield × CP in milk/6.38). Serum glucose was determined by colorimetric biochemistry kits (glucose: cat. N. K-082, Bioclin) and absorbances measured on a semi-automatic spectrophotometer (SBA 200, CELM).

      Statistical Analysis

      Data were submitted to ANOVA using the PROC MIXED of SAS 9.4 (
      • SAS Institute
      SAS/STAT 9.4 User's Guide.
      ) according to the following model:
      Yijkl = µ + Qi + aj:i + Tk + Pl + eijkl,


      with aj:iN(0,σa2) and eijklN(0,σe2), where Yijkl is the observed value of the response variable; µ is the overall mean; Qi is the fixed effect of square (i = 1 to 8); aj:i is the random effect of animal within Latin square (j = 1 to 24); Tk is the fixed effect of treatment (k = 1 to 3); Pl is the fixed effect of experimental period (l = 1 to 3); eijkl is the experimental error; N indicates the normal distribution (Gaussian); σa2 is the variance associated with the random animal effect; and σe2 is the residual variance. The differences between treatments were estimated by the Tukey's range test.
      Rumen fermentation data were analyzed according to the following model:
      Yijkl = µ + Qi + aj:i + Tk + Pl + ωijkl + Hm + T × Hkm + eijklm,


      with aj:iN(0,σa2), ωijklN(0,σω2) and eijklm ≈ MVN (0, R); where Yijklm, µ, Qi, aj:i, Tk, and Pl were previously described; ωijkl is the error associated with experimental units (animal within period); Hm is the fixed effect of the time (m = 1 to 9); T × Hkm is the fixed effect of interaction between treatment and time; eijklm is the residual error; N indicates normal distribution (Gaussian); σa2 is the variance associated with the random animal effect; σω2 is the residual variance associated with the animals in each evaluation period; MVN indicates multivariate normal distribution; and R is a matrix of variance. Different covariance structures due to repeated measures over time were tested [compound symmetry, heterogeneous compound symmetry, first-order autoregressive(1), heterogeneous AR(1), Toeplitz, heterogeneous TOEP, and unstructured] and chosen by the Bayesian criteria.
      Average degradation from each experimental period (n = 3 per silage) were considered as repetitions in the statistical analysis of DEG and ED data using the PROC NLMIXED procedure of SAS 9.4. A single variance was used, and the estimate function was used to compare the coefficients. The differences between treatments were estimated using Fisher's LSD test. The statistical significance was considered when P ≤ 0.05 and tendencies as 0.05 < P ≤ 0.10 for all variables.

      RESULTS

      The SS had less (P = 0.009) B fraction in DM compared with CS and OS (Table 3). Corn silage had greater (P < 0.001) potentially digestible and C fractions in DM compared with OS and SS. Corn silage had the greateast (P = 0.019) kdb in DM, whereas OS had intermediate values, and SS the least value. Corn silage exhibited the greatest (P < 0.001) ED of DM, whereas SS had intermediate values, and OS the least values, regardless of kp. The SS had lower (P < 0.001) content of B and C fractions, and ED of NDF (regardless of kp) compared with CS and OS.
      Table 3Rumen degradability of DM and NDF of experimental silages (mean ± SE)
      Silage samples collected in each period (n = 3) were considered as repetitions in statistical analysis.
      ItemSilage
      CS: corn silage; OS: oat silage; SS: whole-plant soybean silage.
      P-value
      CSOSSS
      DM degradability
       B fraction,
      B = potentially degradable insoluble fraction.
      %
      41.5
      Means within row with different superscripts differ significantly in the Fisher test (least significant difference, P < 0.05).
      ± 2.10
      39.3
      Means within row with different superscripts differ significantly in the Fisher test (least significant difference, P < 0.05).
      ± 2.09
      33.4
      Means within row with different superscripts differ significantly in the Fisher test (least significant difference, P < 0.05).
      ± 1.49
      0.009
       Potentially digestible,
      Potentially degradable fraction (soluble and insoluble).
      %
      73.4
      Means within row with different superscripts differ significantly in the Fisher test (least significant difference, P < 0.05).
      ± 1.90
      57.4
      Means within row with different superscripts differ significantly in the Fisher test (least significant difference, P < 0.05).
      ± 1.92
      57.9
      Means within row with different superscripts differ significantly in the Fisher test (least significant difference, P < 0.05).
      ± 1.49
      <0.001
       C fraction,
      C = indigestible fraction.
      %
      26.6
      Means within row with different superscripts differ significantly in the Fisher test (least significant difference, P < 0.05).
      ± 1.89
      42.6
      Means within row with different superscripts differ significantly in the Fisher test (least significant difference, P < 0.05).
      ± 1.92
      42.1
      Means within row with different superscripts differ significantly in the Fisher test (least significant difference, P < 0.05).
      ± 1.49
      <0.001
      kdb,
      kdb = degradation rate of fraction B.
      %
      6.37
      Means within row with different superscripts differ significantly in the Fisher test (least significant difference, P < 0.05).
      ± 0.663
      6.49
      Means within row with different superscripts differ significantly in the Fisher test (least significant difference, P < 0.05).
      ± 0.749
      8.57
      Means within row with different superscripts differ significantly in the Fisher test (least significant difference, P < 0.05).
      ± 0.944
      0.019
      Effective degradability,
      Effective degradability considering passage rates of 20, 50 and 70 g/kg per hour.
      %
      kp = 20 g/kg per hour63.4
      Means within row with different superscripts differ significantly in the Fisher test (least significant difference, P < 0.05).
      ± 1.08
      48.2
      Means within row with different superscripts differ significantly in the Fisher test (least significant difference, P < 0.05).
      ± 1.08
      51.6
      Means within row with different superscripts differ significantly in the Fisher test (least significant difference, P < 0.05).
      ± 1.01
      <0.001
      kp = 50 g/kg per hour55.1
      Means within row with different superscripts differ significantly in the Fisher test (least significant difference, P < 0.05).
      ± 0.81
      40.3
      Means within row with different superscripts differ significantly in the Fisher test (least significant difference, P < 0.05).
      ± 0.81
      45.6
      Means within row with different superscripts differ significantly in the Fisher test (least significant difference, P < 0.05).
      ± 0.82
      <0.001
      kp = 70 g/kg per hour51.7
      Means within row with different superscripts differ significantly in the Fisher test (least significant difference, P < 0.05).
      ± 0.79
      37.0
      Means within row with different superscripts differ significantly in the Fisher test (least significant difference, P < 0.05).
      ± 0.79
      42.9
      Means within row with different superscripts differ significantly in the Fisher test (least significant difference, P < 0.05).
      ± 0.79
      <0.001
      NDF degradability
       B fraction, %61.6
      Means within row with different superscripts differ significantly in the Fisher test (least significant difference, P < 0.05).
      ± 4.38
      50.4
      Means within row with different superscripts differ significantly in the Fisher test (least significant difference, P < 0.05).
      ± 5.09
      37.1
      Means within row with different superscripts differ significantly in the Fisher test (least significant difference, P < 0.05).
      ± 4.16
      <0.001
       C fraction, %39.4
      Means within row with different superscripts differ significantly in the Fisher test (least significant difference, P < 0.05).
      ± 4.02
      41.2
      Means within row with different superscripts differ significantly in the Fisher test (least significant difference, P < 0.05).
      ± 4.95
      64.1
      Means within row with different superscripts differ significantly in the Fisher test (least significant difference, P < 0.05).
      ± 3.57
      <0.001
      kdb, %6.06 ± 0.8654.96 ± 0.9136.74 ± 1.470.314
      Effective degradability, %
      kp = 20 g/kg per hour45.3
      Means within row with different superscripts differ significantly in the Fisher test (least significant difference, P < 0.05).
      ± 2.22
      4.44
      Means within row with different superscripts differ significantly in the Fisher test (least significant difference, P < 0.05).
      ± 2.43
      27.4
      Means within row with different superscripts differ significantly in the Fisher test (least significant difference, P < 0.05).
      ± 2.14
      <0.001
      kp = 50 g/kg per hour32.8
      Means within row with different superscripts differ significantly in the Fisher test (least significant difference, P < 0.05).
      ± 1.65
      3.35
      Means within row with different superscripts differ significantly in the Fisher test (least significant difference, P < 0.05).
      ± 1.66
      20.1
      Means within row with different superscripts differ significantly in the Fisher test (least significant difference, P < 0.05).
      ± 1.65
      <0.001
      kp = 70 g/kg per hour27.6
      Means within row with different superscripts differ significantly in the Fisher test (least significant difference, P < 0.05).
      ± 1.59
      29.3
      Means within row with different superscripts differ significantly in the Fisher test (least significant difference, P < 0.05).
      ± 1.58
      17.0
      Means within row with different superscripts differ significantly in the Fisher test (least significant difference, P < 0.05).
      ± 1.60
      <0.001
      a–c Means within row with different superscripts differ significantly in the Fisher test (least significant difference, P < 0.05).
      1 Silage samples collected in each period (n = 3) were considered as repetitions in statistical analysis.
      2 CS: corn silage; OS: oat silage; SS: whole-plant soybean silage.
      3 B = potentially degradable insoluble fraction.
      4 Potentially degradable fraction (soluble and insoluble).
      5 C = indigestible fraction.
      6 kdb = degradation rate of fraction B.
      7 Effective degradability considering passage rates of 20, 50 and 70 g/kg per hour.
      The inclusion of alternative silages (OS or SS) reduced (P ≤ 0.009) the intake of DM, OM, and CP (Table 4). Cows fed SSD had lower (P ≤ 0.05) NDF intake than those fed CSD. The OSD treatment reduced (P ≤ 0.05) EE intake across diets. Cows fed OSD had greater (P = 0.049) preference for feed with small particles (<4 mm) than animals fed SSD.
      Table 4Feed intake, total-tract apparent digestibility, and sorting index of lactating cows fed oat silage and soybean silage partially replacing corn silage in the diet (72 experimental units)
      ItemTreatment
      CSD: corn silage (CS)-based diet; OSD: replacement of CS with oat silage at 16.0%; and SSD: replacement of CS with soybean silage at 16.0%.
      SEMP-value
      CSDOSDSSD
      Intake, kg/d
       DM26.2
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      25.3
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      25.1
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      0.650.009
       OM24.3
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      23.1
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      23.1
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      0.57<0.001
       NDF9.82
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      9.67
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      9.47
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      0.2440.023
       CP4.65
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      4.31
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      4.34
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      0.102<0.001
       Ether extract0.91
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      0.86
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      0.90
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      0.021<0.001
      Digestibility coefficient, %
       DM67.766.567.40.650.371
       OM69.567.969.00.640.130
       NDF45.844.644.91.450.716
       CP70.9
      Means within rows with different superscripts tended to differ significantly in Tukey's honestly significant difference test (P < 0.10).
      69.2
      Means within rows with different superscripts tended to differ significantly in Tukey's honestly significant difference test (P < 0.10).
      70.4
      Means within rows with different superscripts tended to differ significantly in Tukey's honestly significant difference test (P < 0.10).
      0.640.069
       Ether extract83.881.583.10.990.164
      Sorting index
      Values <1 indicate sorting against the particular size, values >1 indicate sorting for particles on the particular size range, and value = 1 indicates no sorting.
       >19 mm0.9911.0040.9990.0070.417
       19–8 mm1.0251.0321.0310.0020.153
       8–4 mm1.0331.0341.0340.0030.942
       <4 mm1.054
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      1.059
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      1.049
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      0.0020.049
      a,b Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      x,y Means within rows with different superscripts tended to differ significantly in Tukey's honestly significant difference test (P < 0.10).
      1 CSD: corn silage (CS)-based diet; OSD: replacement of CS with oat silage at 16.0%; and SSD: replacement of CS with soybean silage at 16.0%.
      2 Values <1 indicate sorting against the particular size, values >1 indicate sorting for particles on the particular size range, and value = 1 indicates no sorting.
      Feeding SS or OS increased (P ≤ 0.029) ruminating and chewing activities compared with CSD (Table 5). Regarding the activity measured relative to NDF intake (min/kg of NDF), animals fed SSD had greater (P ≤ 0.004) ruminating and chewing activities and tended to exhibit greater (P = 0.099) time spent eating compared with animals fed CSD.
      Table 5Feeding behavior of lactating cows fed oat silage and soybean silage partially replacing corn silage in the diet (72 experimental units)
      ItemTreatment
      CSD: corn silage (CS)-based diet; OSD: replacement of CS with oat silage at 16.0%; and SSD: replacement of CS with soybean silage at 16.0%.
      SEMP-value
      CSDOSDSSD
      Activity, min/d
       Drinking25.826.824.62.570.804
       Eating3093163177.940.668
       Lying down73574671815.10.310
       Ruminating529
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      554
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      543
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      12.6<0.001
       Idling
      Idling: 24 h – (drinking + eating + milking).
      9359259288.630.636
       Chewing
      Chewing = eating + ruminating.
      839
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      871
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      860
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      16.60.029
      Activity min/kg of NDF intake
       Eating32.1
      Means within rows with different superscripts tended to differ significantly in Tukey's honestly significant difference test (P < 0.10).
      33.1
      Means within rows with different superscripts tended to differ significantly in Tukey's honestly significant difference test (P < 0.10).
      34.4
      Means within rows with different superscripts tended to differ significantly in Tukey's honestly significant difference test (P < 0.10).
      1.390.099
       Ruminating54.9
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      57.5
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      59.0
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      1.840.002
       Chewing87.0
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      90.6
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      93.4
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      3.010.004
      a,b Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      x,y Means within rows with different superscripts tended to differ significantly in Tukey's honestly significant difference test (P < 0.10).
      1 CSD: corn silage (CS)-based diet; OSD: replacement of CS with oat silage at 16.0%; and SSD: replacement of CS with soybean silage at 16.0%.
      2 Idling: 24 h – (drinking + eating + milking).
      3 Chewing = eating + ruminating.
      Cows fed OSD had higher (P = 0.005) rumen fluid pH than those fed CSD (Table 6). Cows fed SSD exhibited greater (P ≤ 0.05) rumen NH3-N concentration than those fed OSD. No evidence for treatment effects on rumen SCFA concentration was detected in this study.
      Table 6Rumen pH, NH3-N concentration, and short-chain fatty acid (SCFA) profile of lactating cows fed oat silage and soybean silage partially replacing corn silage in the diet (18 experimental units)
      ItemTreatment
      CSD: corn silage (CS)-based diet; OSD: replacement of CS with oat silage at 16.0%; and SSD: replacement of CS with soybean silage at 16.0%.
      SEMP-value
      CSDOSDSSDTrtTimeTrt × Time
      Covariance matrices used in repeated measurements: heterogeneous TOEP (pH and acetate to propionate ratio), Toeplitz (NH3-N), heterogeneous autoregressive(1) (acetate, propionate, butyrate, total SCFA), and compound symmetry (branched-chain fatty acids).
      pH6.08
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      6.21
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      6.10
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      0.030.005<0.0010.828
      NH3-N, mg/dL14.3
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      13.2
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      17.1
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      1.120.032<0.0010.087
      SCFA, mM
       Acetate71.968.870.52.840.410<0.0010.495
       Propionate24.022.423.41.260.317<0.0010.678
       Butyrate15.814.815.70.970.122<0.0010.632
       BCFA
      Branched-chain fatty acids.
      4.744.765.070.270.3780.0030.441
       Total SCFA1121061104.910.273<0.0010.549
      Acetate to propionate ratio3.043.103.070.070.6650.0650.336
      a,b Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      1 CSD: corn silage (CS)-based diet; OSD: replacement of CS with oat silage at 16.0%; and SSD: replacement of CS with soybean silage at 16.0%.
      2 Covariance matrices used in repeated measurements: heterogeneous TOEP (pH and acetate to propionate ratio), Toeplitz (NH3-N), heterogeneous autoregressive(1) (acetate, propionate, butyrate, total SCFA), and compound symmetry (branched-chain fatty acids).
      3 Branched-chain fatty acids.
      Although cows fed OSD and SSD had lower (P < 0.001) N intake than those fed CSD, the excretion of N through feces and urine were not affected (P ≥ 0.157) by treatments (Table 7). On the other hand, OSD cows had lower (P ≤ 0.014) N secretion in milk than CSD. There was no evidence for treatment effects on MPS; however, we observed a tendency for greater (P = 0.070) efficiency of MPS for OSD treatment over SSD.
      Table 7Serum glucose, nitrogen balance, and microbial protein of lactating cows fed oat silage and soybean silage partially replacing corn silage in the diet (72 experimental units)
      ItemTreatment
      CSD: corn silage (CS)-based diet; OSD: replacement of CS with oat silage at 16.0%; and SSD: replacement of CS with soybean silage at 16.0%.
      SEMP-value
      CSDOSDSSD
      N intake, g/d744
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      690
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      694
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      16.4<0.001
      Fecal N, g/d2001991937.310.523
      Urinary N, g/d17918016011.40.157
      Milk N, g/d169
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      159
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      164
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      3.90<0.001
      N balance,
      Calculated as N intake (CP intake/6.25) – [(CP milk/6.38) + (N urine) + (Fecal excretion × N feces)].
      g/d
      197
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      153
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      177
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      15.30.016
      MUN, mg/dL9.649.549.600.250.969
      Glucose, mg/dL57.157.056.70.930.923
      Microbial protein, kg/d1.761.761.630.110.445
      Efficiency
      Microbial protein (kg/d)/digestible organic matter intake (kg/d). Digestible organic matter intake calculated according to the equation: OM intake – [Fecal production (kg of DM) × OM exceted feces/100] × 100/OM intake.
      0.097
      Means within rows with different superscripts tended to differ significantly in Tukey's honestly significant difference test (P < 0.10).
      0.110
      Means within rows with different superscripts tended to differ significantly in Tukey's honestly significant difference test (P < 0.10).
      0.090
      Means within rows with different superscripts tended to differ significantly in Tukey's honestly significant difference test (P < 0.10).
      0.0070.070
      a,b Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      x,y Means within rows with different superscripts tended to differ significantly in Tukey's honestly significant difference test (P < 0.10).
      1 CSD: corn silage (CS)-based diet; OSD: replacement of CS with oat silage at 16.0%; and SSD: replacement of CS with soybean silage at 16.0%.
      2 Calculated as N intake (CP intake/6.25) – [(CP milk/6.38) + (N urine) + (Fecal excretion × N feces)].
      3 Microbial protein (kg/d)/digestible organic matter intake (kg/d). Digestible organic matter intake calculated according to the equation: OM intake – [Fecal production (kg of DM) × OM exceted feces/100] × 100/OM intake.
      Cows fed OSD had lower (P < 0.001) yields of milk, protein, and lactose than those fed CSD and SSD (Table 8). Feeding OSD tended to decrease (P ≤ 0.062) FCM in relation to CSD. In addition, OSD decreased (P ≤ 0.05) milk production efficiency, and tended to increase (P = 0.090) milk fat content compared with SSD. Diets did not affect (P ≥ 0.283) milk fat yield, milk protein or lactose contents, FCM efficiency, BCS, or BW.
      Table 8Milk yield and composition cows fed oat silage and soybean silage partially replacing corn silage in the diet (72 experimental units)
      ItemTreatment
      CSD: corn silage (CS)-based diet; OSD: replacement of CS with oat silage at 16.0%; and SSD: replacement of CS with soybean silage at 16.0%.
      SEMP-value
      CSDOSDSSD
      Yield, kg/d
       Milk32.9
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      31.1
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      32.1
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      0.661<0.001
       FCM
      3.5% FCM = (0.432 + 0.165 × milk fat percentage) × milk yield (kg/d).
      34.3
      Means within rows with different superscripts tended to differ significantly in Tukey's honestly significant difference test (P < 0.10).
      33.0
      Means within rows with different superscripts tended to differ significantly in Tukey's honestly significant difference test (P < 0.10).
      33.4
      Means within rows with different superscripts tended to differ significantly in Tukey's honestly significant difference test (P < 0.10).
      0.9460.062
       Fat1.231.201.200.0450.335
       Protein1.08
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      1.01
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      1.05
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      0.025<0.001
       Lactose1.61
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      1.52
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      1.56
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      0.018<0.001
      Milk composition, %
       Fat3.76
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      3.87
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      3.72
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      0.1070.090
       Protein3.283.273.270.0240.705
       Lactose4.914.904.880.0360.283
      Efficiency
       Milk yield/DMI1.26
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      1.24
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      1.28
      Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      0.0150.046
       FCM/DMI1.311.311.320.0270.681
      BCS, 1–52.522.472.510.0430.410
      BW, kg65765665512.70.934
      a–c Means within rows with different superscripts differ significantly in Tukey's honestly significant difference test (P < 0.05).
      x,y Means within rows with different superscripts tended to differ significantly in Tukey's honestly significant difference test (P < 0.10).
      1 CSD: corn silage (CS)-based diet; OSD: replacement of CS with oat silage at 16.0%; and SSD: replacement of CS with soybean silage at 16.0%.
      2 3.5% FCM = (0.432 + 0.165 × milk fat percentage) × milk yield (kg/d).

      DISCUSSION

      We hypothesized that partially replacing CS with either OS or SS would have no effect on productivity of cows. Diets containing these forages, however, impaired DMI and OSD had lower milk yield compared with control. The possible reasons for lower DMI might be related to differences in chemical composition, fiber degradability, and particle size distribution among diets. As observed in the in vitro degradability trial, alternative silages had inferior DM ED compared with CS. The DM digestibility of SS and OS varies in the literature (
      • Vargas-Bello-Pérez E.
      • Mustafa A.F.
      • Seguin P.
      Effects of feeding forage soybean silage on milk production. nutrient digestion. and ruminal fermentation of lactating dairy cows.
      ; Restelatto et al., 2013;
      • Baghdadi A.
      • Halim R.A.
      • Radziah O.
      • Martini M.Y.
      • Ebrahimi M.
      Fermentation characteristics and nutritive value of corn silage intercropped with soybean under different crop combination ratios.
      ;
      • Bueno A.V.I.
      • Ribeiro M.G.
      • Jacovaci F.A.
      • Três T.T.
      • Leão G.F.M.
      • Gomes A.L.M.
      • Jobim C.C.
      Nutritional value and digestible dry matter production of oat genotypes for ensiling.
      ) where differences are strongly related to the chemical composition of the forage, especially with contents of NDF and lignin (
      • Kawamoto H.
      • Touno E.
      • Uchino H.
      • Uozumi S.
      Comparison of fermentation quality and ruminal degradability between two different harvest timings of forage soybean (Glycine max (L.) Merr.) ensiled with the corn-silage system.
      ). In this study, the relatively high concentrations of NDF, ADF, indigestible NDF, and lignin in oat silage and soybean silage likely impaired degradation and nutritive value compared with corn silage. In addition, for optimal feed preservation during the ensiling process, pre-ensiled material must have an ideal DM content, water-soluble carbohydrate, and low buffering capacity to achieve a low pH (
      • McDonald P.
      • Henderson A.R.
      • Heron S.J.E.
      The Biochemistry of Silage.
      ), which are not optimal in the legume forages used in this study.
      Despite the lower in vitro ED of DM and NDF observed in OS and SS, treatments did not affect the total-tract apparent digestibility of nutrients. Cows fed OSD and SSD had lower feed intake, which often decreases the passage rate throughout the gut, increasing the retention time in the rumen and feed degradation. In addition, OSD and SSD treatments had greater proportion of feed with longer particles (>19 mm) in the diet, which might have contributed to slowdown the digesta and decrease the feed intake. Supporting the results of this study, other trials have reported an increase in chewing and ruminating activities when feeding silages of oat–ryegrass or SS (
      • Celis-Alvarez M.D.
      • López-González F.
      • Martínez-García C.G.
      • Estrada-Flores J.G.
      • Arriaga-Jordán C.M.
      Oat and ryegrass silage for small-scale dairy systems in the highlands of central Mexico.
      ;
      • Ghizzi L.G.
      • Del Valle T.A.
      • Zilio E.M.C.
      • Sakamoto L.Y.
      • Marques J.A.
      • Dias M.S.S.
      • Nunes A.T.
      • Gheller L.S.
      • de P. Silva T.B.
      • Grigoletto N.T.S.
      • Takiya C.S.
      • da Silva G.G.
      • Rennó F.P.
      Partial replacement of corn silage with soybean silage on nutrient digestibility, ruminal fermentation and milk fatty acid profile of dairy cows.
      ). Feeding activities are closely related to the NDF content and digestibility (
      • Zebeli Q.
      • Tafaj M.
      • Steingass H.
      • Metzler B.
      • Drochner W.
      Effects of physically effective fiber on digestive processes and milk fat content in early lactating dairy cows fed total mixed rations.
      ). Soybean silage used in this study exhibited relatively low value of NDF ED (27.4%), presenting values even lower than those (31.4%) reported by
      • Vargas-Bello-Pérez E.
      • Mustafa A.F.
      • Seguin P.
      Effects of feeding forage soybean silage on milk production. nutrient digestion. and ruminal fermentation of lactating dairy cows.
      . The lignin content and the extensive cross linking between lignin and carbohydrates in the soybean plant cell wall compared with the other silages (
      • Mustafa A.F.
      • García J.C.F.
      • Seguin P.
      • Marois-Mainguy O.
      Chemical composition, ensiling characteristics and ruminal degradability of forage soybean cultivars.
      ) may decrease the ruminal ED of NDF.
      In the current study, OSD decreased milk yield relative to CSD and SSD. Dairy cows are significantly affected by roughage DM and NDF digestibility as poor fiber digestibility reduces feed intake and milk yield (
      • Zebeli Q.
      • Aschenbach J.R.
      • Tafaj M.
      • Boguhn J.
      • Ametaj B.N.
      • Drochner W.
      Invited review: Role of physically effective fiber and estimation of dietary fiber adequacy in high-producing dairy cattle.
      ).
      • Oba M.
      • Allen M.S.
      Evaluation of the importance of the digestibility of neutral detergent fiber from forage: Effects on dry matter intake and milk yield of dairy cows.
      reported that a 1-unit increase in NDF digestibility (in vitro or in situ) leads to a 0.17-kg increase in DMI and a 0.25-kg increase in 4% FCM. The trend toward a decreased CP digestibility in cows fed OSD could also have contributed to reducing milk yield. The histochemical and structural variations of black oat, when compared with corn, have a significant effect in the digestion process and absorption of nutrients (
      • Elizalde J.C.
      • Rearte D.H.
      • Santini F.J.
      Corn silage supplementation of cows grazing winter oats. Dynamics of digestion and ruminal environment.
      ). The accessibility of rumen microorganisms to oat fiber carbohydrates is limited due to the structural arrangement of their cells and the chemical composition of the cell wall, influencing the physical degradation, passage rate, and intake of forage (
      • Abeysekara W.A.S.
      The nutritional value of oat forages for dairy cows.
      ). According to
      • Phillips W.A.
      • Rao S.C.
      • Dalrymple R.L.
      • Klepper E.L.
      Annual cool-season grasses.
      , the performance of cattle fed OS is usually worse than the result achieved by cattle fed CS due to relatively low digestibility of NDF.
      Although
      • Ghizzi L.G.
      • Del Valle T.A.
      • Zilio E.M.C.
      • Sakamoto L.Y.
      • Marques J.A.
      • Dias M.S.S.
      • Nunes A.T.
      • Gheller L.S.
      • de P. Silva T.B.
      • Grigoletto N.T.S.
      • Takiya C.S.
      • da Silva G.G.
      • Rennó F.P.
      Partial replacement of corn silage with soybean silage on nutrient digestibility, ruminal fermentation and milk fatty acid profile of dairy cows.
      reported a linear decrease in productivity of dairy cows when replacing CS with SS up to 50% diet DM, authors did not observe differences in milk and FCM yields between control and the lowest level of CS replacement with SS when data were submitted to the Tukey-Kramer honestly significant difference test. Similarly to this study, when authors fed SS at 16.7% there was no negative effect on feed efficiency of cows with an average milk yield of 33 kg/d (
      • Ghizzi L.G.
      • Del Valle T.A.
      • Zilio E.M.C.
      • Sakamoto L.Y.
      • Marques J.A.
      • Dias M.S.S.
      • Nunes A.T.
      • Gheller L.S.
      • de P. Silva T.B.
      • Grigoletto N.T.S.
      • Takiya C.S.
      • da Silva G.G.
      • Rennó F.P.
      Partial replacement of corn silage with soybean silage on nutrient digestibility, ruminal fermentation and milk fatty acid profile of dairy cows.
      ). Thus, in addition to the silage quality, the inclusion level may be a key point to optimize SS and OS utilization in dairy cow diets. In addition, the greater EE intake of cows fed SSD in relation to cows under CSD treatment might have offset the lower DM intake, thus maintaining similar milk yield between treatments. The greatest CS ruminal ED, followed by SS and lastly by OS, as well as greater feed intake for animals fed CSD, resulted in different amounts of available nutrients and consequently, differences in yields of protein and lactose.
      The lower in vitro DM degradability in OS and the greater physically effective NDF of OSD are likely responsible for higher rumen pH. Furthermore, cows fed SSD showed a greater rumen concentration of NH3-N compared with OSD. Aligning with results observed in this study,
      • Ghizzi L.G.
      • Del Valle T.A.
      • Zilio E.M.C.
      • Sakamoto L.Y.
      • Marques J.A.
      • Dias M.S.S.
      • Nunes A.T.
      • Gheller L.S.
      • de P. Silva T.B.
      • Grigoletto N.T.S.
      • Takiya C.S.
      • da Silva G.G.
      • Rennó F.P.
      Partial replacement of corn silage with soybean silage on nutrient digestibility, ruminal fermentation and milk fatty acid profile of dairy cows.
      reported a linear increase in ruminal NH3-N when cows were fed SSD partially because of a decrease in DMI and fiber digestibility. A decrease in DMI reflects in less substrate for fiber-degrading bacteria which use rumen NH3-N as nitrogen source for growth (
      • Russell J.B.
      • O'Connor J.D.
      • Fox D.G.
      • Van Soest P.J.
      • Sniffen C.J.
      A net carbohydrate and protein system for evaluating cattle diets: I. Ruminal fermentation.
      ).
      • Calsamiglia S.
      • Cardozo P.W.
      • Ferret A.
      • Bach A.
      Changes in rumen microbial fermentation are due to a combined effect of type of diet and pH.
      observed an adverse effect of lower ruminal pH on the efficiency of microbial protein synthesis. Although CSD decreased ruminal pH in the present study, microbial protein synthesis did not differ among treatments.

      CONCLUSIONS

      Soybean and oat silages used herein had lower in vitro DM degradability in comparison with CS. Partial replacement of corn silage with OS or SS (8% diet DM) decreased DMI without affecting total-tract nutrient digestibility. Cows fed SSD, however, had similar milk yield and greater rumen pH in comparison with CSD cows. Soybean silage may partially replace CS in diets of lactation without milk production losses.

      ACKNOWLEDGMENTS

      The authors appreciate the support of the crew from the Dairy Cattle Research Laboratory of the University of São Paulo. The first author thanks the National Council for Scientific and Technological Development (CNPq; Brasília, Brazil) protocol number 132102/2018-8 for providing a scholarship. The authors have not stated any conflicts of interest.

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