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Article

Dwarf and Tall Elephantgrass Genotypes under Irrigation as Forage Sources for Ruminants: Herbage Accumulation and Nutritive Value

by
Rayanne Thalita de Almeida Souza
1,*,
Mércia Virginia Ferreira dos Santos
1,
Márcio Vieira da Cunha
1,
Geane Dias Gonçalves
2,
Valdson José da Silva
1,
Alexandre Carneiro Leão de Mello
1,
James Pierre Muir
3,
Robson Elpídio Pereira Ribeiro
1 and
José Carlos Batista Dubeux, Jr.
4
1
Department of Animal Science, Federal Rural University of Pernambuco, Dom Manoel de Medeiro Street, Dois Irmãos, Recife, Pernambuco 52171-900, Brazil
2
Federal University of Agreste of Pernambuco, Bom Pastor Avenue, Boa Vista, Garanhuns, Pernambuco 55292-270, Brazil
3
Texas A&M AgriLife Research, 1229 Hwy 281, Stephenville, TX 76401, USA
4
North Florida Research and Education Center, University of Florida, 3925 Hwy 71, Marianna, FL 32446-8091, USA
*
Author to whom correspondence should be addressed.
Animals 2021, 11(8), 2392; https://doi.org/10.3390/ani11082392
Submission received: 5 May 2021 / Revised: 5 August 2021 / Accepted: 9 August 2021 / Published: 13 August 2021
(This article belongs to the Section Animal Nutrition)

Abstract

:

Simple Summary

Cyclical droughts negatively impact agriculture, with deficits of water availability for the maintenance of crops destined for human food and animal production. Seasonality of forage quantity and quality is a critical obstacle to support domesticated herds over the year. Elephantgrass (Pennisetum purpureum Schum.) is a tropical forage widely used for feeding ruminants, mainly in the form of cut-and-carry, which has the potential to increase tropical pasture productivity, due to the large amount of roughage produced per unit of area. Research evaluated the response of tall and dwarf elephantgrass genotypes under irrigation considering its potential for complementing ruminant diets. This study showed that irrigation of elephantgrass, particularly during the dry season, may improve the regularity of forage production with good nutritive value.

Abstract

This two-year study evaluated the effect of Pennisetum purpureum genotypes under rainfed or irrigated conditions, during the dry and rainy seasons, on herbage, leaf, and stem dry matter (DM) accumulation rates, nutritive value, and carbohydrate and protein fractionation. Treatments were tall (Iri 381 and Elefante B) or dwarf (Mott and Taiwan A-146 2.37) genotypes under rainfed or irrigated conditions. Taiwan A-146 2.37 (146 kg DM ha per day) showed similar herbage accumulation rate (HAR) to tall genotypes during the rainy season (124 and 150 kg DM/ha per day, respectively). Dwarf genotypes showed differences in leaf accumulation rate (LAR) (66 and 49 kg DM/ha per day). Mott leaf had less neutral detergent fiber (NDF) (589 g/kg DM) than Taiwan A-146 2.37 (598 g/kg DM), and tall genotypes had generally greater NDF (668 g/kg DM) than the dwarf genotypes. Irrigation increased fiber deposition in the leaf. Stems of all genotypes had lower in vitro digestible dry matter (IVDDM) (378 g/kg DM) under rainfed conditions in the rainy season. Leaf from irrigated plots had 23% more carbohydrate C fraction (160 g/kg CHO) than those from rainfed plots (122 g/kg CHO). Dwarf genotypes had generally greater nutritive value than tall genotypes. These genotypes show promise under irrigation to fill forage gaps during dry periods.

1. Introduction

Elephantgrass [Pennisetum purpureum Schum. syn. Cenchrus purpureus (Schumach.) Morrone] is one of the most important forage grasses in the Brazilian forage-livestock production system. This forage grass is grown in tropical, subtropical, and even in semiarid regions worldwide [1], and has been successfully used as cut-and-carry forage, silage, and under grazing conditions [2] due to its potential for herbage accumulation, especially in wetter or irrigated areas [3].
The seasonality of forage production due to seasonal variation in weather conditions affects animal output from forage-dependent livestock systems. The use of irrigation may increase productivity and reduce the seasonality of forage production and, when associated with species with large potential of potential herbage accumulation such as elephant grass, can be an important alternative to mitigate forage gaps during the dry season. Under irrigated conditions, tall elephantgrass genotypes are used, but little information is available comparing the potential of irrigated dwarf and tall elephantgrass types to provide forage with good nutritive value to reduce forage deficits. Tall and dwarf elephantgrass types generally show differences in morphological characteristics, herbage accumulation, and nutritive value of forage [4].
Mott elephantgrass is a dwarf type released as a cultivar in 1989 [5] with high forage nutritive value [6] and has been considered one of the best dwarf elephantgrasses released to date. Taiwan A-146 2.37, also a dwarf type elephantgrass, is adaptable and has stable forage production under varying environmental conditions [7]. Tall genotypes are generally more productive than dwarf types but may show less stable forage production [7] and a more rapid decline in nutritive value with maturity [8].
Tall elephantgrass genotypes show greater rates of stem elongation compared to dwarf types, which may affect canopy composition and contribute to differences in forage nutritive value [9]. However, it is important to evaluate the degree of changes in nutritive value in different plant components (e.g., leaf blade, stem) of tall versus dwarf genotypes under different management practices.
Dwarf (Mott and Taiwan A-146) and tall (Elefante B and Iri 381) elephantgrasses were evaluated by [10] in a cut-and-carry system for sheep production in the humid region of Brazil and reported that the dwarf elephantgrass cultivars Mott and Taiwan A-146 2.37 showed greater nutritive value than tall Elefante B and Iri 381. Four elephantgrass genotypes (Common, Silver, Red, and Dwarf) were evaluated by [11] in the tropical humid zone of Malaysia, who observed lower forage production for dwarf (3358 kg/ha per cut), greater leaf:stem ratio (3.18), and greater nutritive value compared with the tall genotypes.
Productivity and nutritive value of elephantgrass BRS Capiaçu was evaluated by [12] under different regrowth maturity (30, 60, 90, and 120 days) during winter season in a semiarid region of Brazil. They observed that, with increase in age, herbage mass likewise increased (760; 3999; 10,798; and 22,115 kg/ha/year, respectively) while nutritive value declined, characterized by the reduction in non-protein nitrogen (fraction A) (60, 54, 56, and 35%), crude protein (15, 11, 8, and 6%) and increase of NDF concentration (55, 63, 66, and 68%). Harvest intervals of 90 days were recommended during the winter season because the elephantgrass showed the best balance among productivity, efficiency, and nutritional value. Rapid growth, however, can contribute to increasing stem accumulation and deposition of lignified tissues in tropical forages, reducing leaf: stem ratio and forage nutritive value with maturity that can be stimulated by the presence of water [13].
Our hypothesis is that dwarf elephantgrass grown under irrigation could bridge the forage gap during dry periods by maintaining greater forage nutritive value compared to tall genotypes with progressing maturity. The objective of this study was to evaluate the differences in leaf and stem accumulation, nutritive value for ruminants, and carbohydrate and protein fractionation among tall and dwarf elephantgrass genotypes grown under rainfed or irrigated conditions during the dry and rainy seasons.

2. Materials and Methods

2.1. Experimental Site, Treatments and Experimental Design

The trial was conducted in Garanhuns, in the Agreste Meridional Region, Pernambuco, Brazil, at the Experimental Farm of the Federal Rural University of Pernambuco. The experimental site is located at 8°53′ S and 36°29′ W, 896 m above sea level. The climate is classified as tropical Aw’ according to Köppen-Geiger climate classification [14].
The soil of the experimental area was an Ultisol, and the texture was sandy clay loam. Average soil chemical characteristics were: pH (H2O) = 5.8; P = 4 mg/dm3 (Mehlich I); K = 0.27 cmolc/dm3; Na = 0.03 cmolc/dm3; Al = 0 cmolc/dm3; Ca = 1.8 cmolc/dm3; Mg = 0.4 cmolc/dm3; H+Al (potential acidity) = 2.5 cmolc/dm3; SB (sum by bases) = 2.51 cmolc/dm3; CEC (cation exchange capacity) = 5.01 cmolc/dm3; V (base saturation) = 50.1%; C = 2.1%; m = 0%; OM (organic matter) = 36.4 g/dm3. Weather data for the experimental period are presented in Figure 1.
The experimental design was a randomized complete block with split-plot arrangement and four replications. The main plots consisted of rainfed (non-irrigated) and irrigated, and subplots included four elephantgrass genotypes, tall (Elefante B and Iri-381), and dwarf (Taiwan A-146 2.77 and Mott) types, as subplots.

2.2. Plot Establishment and Management

Before planting, soil sampling was carried out using an auger hole 0–10 and 10–20 cm deep, randomly collected at three points within each subplot, totaling 96 samples. A single composite and representative soil sample of the total area was formed. After preparation of the composite samples (air-dried and sieved), they were analyzed at the Soil Laboratory of the Sugarcane Experimental Station at Carpina of the Federal Rural University of Pernambuco. The pHH2O, P (Mehlich I), K+, Na+, Al3+, Ca2+, Mg2+, H+Al, SB, CEC, V, C, and OM, were determined according to [15]. The need for soil pH correction was identified, which was carried out in accordance with regional fertilizer recommendation for elephantgrass in Pernambuco State [16], applying 500 kg/ha calcitic limestone, followed by plowing and harrowing.
After 90 days of soil amendment, the soil was sampled and chemical analysis was performed again, as described above. Those samples indicated the need to add 44 kg P/ha and 64 kg K/ha using single superphosphate and potassium chloride as sources, respectively, applied to furrows during planting.
Elephantgrass genotypes were established by vegetative propagation with 1-m spacing between rows. Each plot consisted of 546 m2 (91 × 6 m), with spacing of 8 m between main plots. Each subplot had 24 m2 (4 × 6 m), and the sampling area was 15 m2 (3 × 5 m). Annual maintenance soil fertilization was performed only during rainy season in a single application, following the regional fertilizer recommendation for elephantgrass in Pernambuco State [16], consisting of 100 kg N/ha and 64 kg K/ha in the planting furrow. The fertilization sources consisted of ammonium sulfate and potassium chloride, respectively.
In irrigated plots, water was applied using a drip irrigation system with approximately 95% distribution uniformity. Irrigation management distributed the water needed for restoring 100% crop evapotranspiration (ETc) based on the standardized Penman-Monteith method by FAO/56 [17]. The weather data used for ETc calculations was obtained from a weather station from the experimental site. In the first year, 8 and 179 mm of water were applied in the irrigated plots in the rainy and in the dry season, respectively. In the second year, 98 and 168 mm were applied in the irrigated plots in the rainy and dry season, respectively.
In July 2016, 90 days after planting, a staging cut at approximately 5 cm from the ground level was performed, and dead plants were replaced. For the beginning of the experimental period, a second staging cut was performed in November 2016, 120 days after replanting. Thereafter, the genotypes were subjected to successive harvests every 60 days during two consecutive years (2017 to 2018).

2.3. Response Variables

2.3.1. Herbage, Leaf, and Stem Accumulation Rates and Nutritive Value

Two representative harvests (growing cycles) were chosen to evaluate seasonal herbage, leaf, and stem accumulation. The harvest that occurred in August and December represented the rainy and dry season, respectively, over 2 years, giving a total of 4 harvests, and results were considered as the average of harvests in each season. At each harvest, the herbage mass in each subplot was quantified by harvesting the forage at approximately 5 cm from the ground level. The forage harvested from 15 m2 of each subplot was weighed fresh in the field, and a subsample of five randomly selected basal tillers was collected. Each subsample was separated into leaf (blade), stem (stem plus leaf sheath), and dead material, weighed, and subsequently dried in a forced-draft oven at 55 °C until constant weight and then weighed to determine dry matter (DM) concentration. The leaf and stem weight of the subsamples was used to calculate the proportion of each component in the herbage mass, which was then used to calculate the leaf:stem ratio (L:S). Herbage mass was obtained by multiplying fresh weight of forage harvest from 15 m2 of each subplot by the respective DM concentration. Then, the herbage mass was divided by the number of days in the growing cycle (from the harvest of the previous cycle to the harvest of the considered cycle) to obtain the herbage accumulation rate (HAR; kg/ha per day). Leaf and stem accumulation rate (LAR and SAR; kg/ha per day) were obtained by multiplying the herbage accumulation rate by the proportion of each component (leaf and stem) divided by the regrowth duration.
The dried sub-samples were ground in a Wiley mill (MO6666, John Doe Co., Dog city, CA, USA) using a 1-mm sieve. The samples were analyzed for DM at 105 °C (930.15 method), mineral matter (MM) (942.05), ether extract (EE) (920.39), and crude protein (CP) (984.13), according to [18]. Lignin, neutral detergent fiber (NDF), and acid detergent fiber (ADF) adjusted for ash and protein (NDFap) were determined as described by [19], with modifications proposed by [20].
The in vitro digestible dry matter (IVDDM) was estimated according to [21] in a DAISY II Incubator (ANKOM® Technology, Macedon, NY, USA) for 48 h with ruminal fluid and buffer solution (ruminal fermentation stage). After this period, 40 mL of HCl solution (6N) and 8 g pepsin were added, and samples were further incubated for 24 h (chemical digestion stage). The F57 bags containing the digestion residue were oven dried at 105 °C until constant weight and weighed. The experimental procedures were approved by the Ethics committee of Federal Rural University of Pernambuco (License n° 002/2020). A single rumen-fistulated cow was used as a ruminal fluid donor. This animal was fed with elephantgrass silage.

2.3.2. Protein Fractionation

Non-protein nitrogen (fraction A), neutral detergent insoluble nitrogen (NDIN), and acid detergent insoluble nitrogen (ADIN) were analyzed as described by [22] and calculated according to the Cornell Net Carbohydrate and Protein System (CNCPS) as described by [23]. Protein fraction B1 + B2, composed by fractions of rapidly (B1) and intermediate (B2) rates of rumen degradation, was estimated by Equation (1):
B1 + B2 = 100 − (A + B3 + C)
Protein fraction B3 (insoluble fraction in the rumen) was calculated by the difference between NDIN and ADIN, and protein fraction C (insoluble in the rumen and indigestible in the small intestine) was considered as ADIN.

2.3.3. Carbohydrate Fractionation

The carbohydrate fractionation was determined and calculated according to the Equations (2)–(4) described by [22]. Total carbohydrates (CHO) were calculated as noted in Equation (2).
CHO = 100 − (CP + EE + MM)
Carbohydrate fractions A and B1 (which show rapid ruminal fermentation) were calculated as Equation (3):
NFC = 100 − (CP + (NDFap) + EE + MM)
Carbohydrate fraction B2 (carbohydrates of slow ruminal fermentation developed on cell wall) was calculated by the difference between NDFap (ash- and protein-free NDF) and fraction C. Carbohydrate fraction C (indigestible fiber) was calculated as Equation (4):
C = NDF * 0.01 * LIG * 2.4/CHO

2.4. Statistical Analysis

Data were analyzed using the Mixed Procedure of SAS University Edition. Irrigation, genotypes, seasons, and their interactions were considered fixed effects. The effects of blocks, year, and their interaction were considered random. Seasons were considered repeated measures. Averages were compared using the probability of the difference (“pdiff”) adjusted by Tukey test. Treatments were considered different when p ≤ 0.05. The following statistical model was used:
Yijkl = µ + Bi + Cj + Dk + El + CDjk + CEjl + DEkl + CDEjkl + εijkl
where Yijkl = observation, µ = population mean, Bi = block effect (i = 4–1), Cj = irrigation effect (j = 2–1), Dk = genotype effect (k = 4–1), El = season effect (l = 2–1), CDjk = effect of irrigation × genotype interaction, CEjl = effect of irrigation × season interaction, DEkl = effect of genotype × season interaction, and CDEjkl = effect of irrigation × genotype × season interaction and εijkl = residual error.

3. Results

3.1. Herbage, Leaf, and Stem Accumulation Rates and Nutritive Value

Herbage accumulation rate was affected by irrigation (p = 0.001) (Figure 2) and genotype × season interactions (p = 0.007) (Table 1).
Irrigation increased HAR by 44% compared to rainfed conditions (120 vs. 67 kg DM/ha per day, respectively) (Figure 2). The genotypes showed generally greater HAR during rainy season, and tall genotype Elefante B showed similar HAR compared to the dwarf types. Mott and Taiwan A-146 2.37 in turn did not differ from Iri 381, varying from 122 to 150 kg DM/ha/day (Table 1). Iri 381 showed 19% greater HAR compared to Mott during rainy season.
The SAR was not affected by irrigation (p = 0.19), but it was affected by genotype × season (p = 0.001) interaction (Table 1). The SAR was greater during the rainy season (average within genotypes ~77 kg DM/ha/day) compared to the dry season (~22 kg DM/ha/day) without differences among genotypes in the dry season. During the rainy season, Mott had the lowest SAR, while Taiwan A-146 2.37 SAR did not differ from Elefante B, which in turn did not differ from Iri 381.
There was genotype × irrigation interaction (p = 0.048) for LAR (Table 2) and irrigation × season (p = 0.005) for LAR and L:S (Table 3). It was generally greater under irrigation for all genotypes (~57 kg DM/ha/day), while under rainfed condition, genotypes did not show differences. When irrigated, Mott (66 kg DM/ha per day) had 26% greater LAR than Taiwan A-146 2.37 (49 kg DM/ha per day), but both showed no difference to Elefante B (56 kg DM/ha/day) and Iri 381 (59 kg DM/ha/day) (Table 2).
In the rainy season there was no difference in the LAR between the irrigated and rainfed conditions or between both seasons when irrigation was used (Table 3). Leaf:stem ratio was affected only by the interaction of irrigation and season (p < 0.0001). In the dry season, L:S ratio was 34% greater under rainfed conditions compared to irrigation. During the rainy season, however, similar L:S ratios under both irrigated and rainfed conditions were observed (Table 3).
Leaf nutritive value (Table 4) was affected by genotype × irrigation × season interaction. Greater CP (p = 0.005) concentrations were observed for Mott under rainfed and irrigated treatments during rainy and dry seasons compared to the other genotypes, but Taiwan A-146 2.37 did not differ from Mott, Elefante B, and Iri 381. During the dry season, CP was greater in rainfed compared to irrigated conditions for all genotypes. Mott and Taiwan A-146 2.37 IVDDM (p = 0.0004) was, on average, 14% greater than Elefante B and Iri 381 (Table 4). Mott NDF (p = 0.038) and ADF (p = 0.016) concentrations were generally less. Greater NDF concentrations occurred when elephantgrass genotypes were irrigated during the dry season and under irrigated, and rainfed treatments during rainy season there was no significant difference (Table 4).
During the rainy season there was no difference between irrigated and rainfed treatment forage ADF. Lower concentrations of ADF were observed in Mott and Taiwan A-146 2.37, and Elefante B and Iri 381 did not show a difference in ADF.
Leaf lignin (g/kg DM) concentration was affected by the genotype × irrigation interaction (p = 0.038) (Table 5). Irrigation increased lignin concentration by 29% when compared to rainfed conditions for all genotypes. Taiwan A-146 2.37 did not differ from either Mott or the tall genotypes.
Stem CP (p < 0.0001), ADF (p = 0.012), and lignin (p = 0.001) concentrations were affected by genotype × irrigation × season interaction (Table 6). Differences between irrigated and rainfed treatments occurred only during the dry season, with greater ADF and lignin concentrations in the stems under irrigated conditions. Taiwan A-146 2.37 showed similar stem CP compared to Elefante B under irrigated and rainfed conditions during rainy season and under irrigation during the dry season, while Iri 381 showed the lowest CP. Under rainfed conditions during dry season, Taiwan A-146 2.37 showed similar CP compared to Mott, and both were greater than Elefante B and Iri 381. Mott always contained less stem ADF and lignin concentrations than other genotypes, regardless of irrigated or rainfed conditions, while Taiwan A-146 2.37 was similar to tall genotypes. The ADF and lignin concentrations were generally less for the genotypes under rainfed conditions compared to irrigated in the dry season.
Stem NDF concentration was affected by genotype (p < 0.0001) (Figure 3) and irrigation × season interaction (p < 0.0001) (Table 7). Mott showed the lowest NDF concentration (633 g/kg DM), and Taiwan A-146 2.37 showed intermediary values (693 g/kg DM). Elefante B and Iri 381, on the other hand, showed the greatest stem NDF concentration (720 and 709 g/kg DM), respectively (Figure 3).
There was no difference in stem NDF concentration between rainy and dry season when irrigation was used, while rainfed treatments had lower stem NDF concentration during the dry season when compared to the rainy season (Table 7).
Stem IVDDM was affected by irrigation × season (p = 0.0002) (Table 7) and genotype × season interactions (p < 0.0001) (Table 8). During the rainy season, IVDDM did not show a difference between irrigated and rainfed conditions, when compared to dry season (Table 7). There was a decrease in IVDDM during the rainy season compared to the dry season (Table 8). Mott and Taiwan A-146 2.37 showed greater IVDDM compared to other genotypes and did not differ from each other (Table 8).

3.2. Protein Fractionation

There was an irrigation × genotype × season interaction for all protein fractionation variables from leaves and stems (Table 9 and Table 10). Leaf from Mott and Taiwan A-146 2.37 had greater proportion of N fraction A (p = 0.002) (average of irrigated and rainfed in rainy and dry season ~153 g/kg CP) than the other genotypes. Greater concentrations of this protein fraction (A) were observed in dry season forage in rainfed conditions, for all genotypes. When comparing rainy and dry season, lower concentrations of this fraction were observed for all genotypes during rainy season under rainfed conditions (Table 9).
No difference was observed for the B1 + B2 (p < 0.0001) fraction between the genotypes leaf in all conditions analyzed. Less fraction B3 (p < 0.0001) was observed in Mott leaf compared to other genotypes. The irrigated plots accumulated greater fraction B3 in leaf during dry season. Less indigestible N (p = 0.0006) fraction in leaf was observed during dry season when no irrigation was applied (Table 9).
The proportion of fraction A of CP compounds in stems (p = 0.001) was similar during rainy and dry season for all genotypes when irrigation was used. During the dry season, fraction A in stems was lower in irrigated conditions. Fraction B1 + B2 (p < 0.0001) in stems was 24% greater in rainfed conditions during dry season compared, to irrigated plants. Fraction B3 (p < 0.0001) of Elefante B and Iri 381 were 19% greater than Mott and Taiwan A-146 2.37 in irrigated and rainfed treatments during both seasons (Table 10). Fractions B3 and C showed lower concentrations under rainfed conditions during dry season, when compared to rainy season. Mott contained less fraction C (p = 0.001) proportion in stems under rainfed conditions during the rainy and dry seasons. Taiwan A-146 2.37 had similar proportions to Elefante B and Iri 381 under rainfed conditions, during dry season (Table 10).

3.3. Carbohydrate Fractionation

There was an interaction between irrigation × genotype for all leaf carbohydrate fractionation variables (Table 11). In general, the greatest soluble carbohydrate (A + B1) (p = 0.001) concentrations were detected in plants under rainfed conditions for all genotypes. Less fraction B2 (p < 0.0001) was observed for the Mott genotype compared to other genotypes. Fraction C (p < 0.0001) represents the indigestible fiber fraction, which did not differ among genotypes and increased by 23% under irrigation conditions (Table 11).
Stem A + B1 was affected only by the interaction between irrigation × genotype (p < 0.0001) (Table 12). Mott showed greater carbohydrate concentration for fraction A + B1 in stems under irrigation and rainfed treatments, when compared with other genotypes. Carbohydrate fraction B2 in stems was affected by genotype × irrigation interaction (p < 0.0001) (Table 12) and season (p < 0.0001) (Figure 4).
When irrigation was used, B2 fractions increased by 16%. Among the genotypes, Mott and Taiwan A-146 2.37 had fewer B2 fractions (Table 12).
Smaller B2 fractions accumulated in stems during the dry season (436 g/kg CHO) when compared with the rainy season (519 g/kg CHO) (Figure 4). The indigestible carbohydrate fraction (C) in stems was affected by genotype (p < 0.0001) (Figure 5A) and season (p = 0.006) (Figure 5B).
Mott (193 g/kg CHO) and Taiwan A-146 2.37 (203 g/kg CHO) contained a lower indigestible carbohydrate fraction than Elefante B (254 g/kg CHO) and Iri 381 (242 g/kg CHO) (Figure 5A). During the rainy season (248 g/kg CHO), there was an increase of 26% in the indigestible carbohydrate fraction compared to the dry season (183 g/kg CHO) (Figure 5B).

4. Discussion

4.1. Herbage, Leaf, and Stem Accumulation Rates and Nutritive Value

Irrigation contributed to soil-water deficit reduction during the dry season and possible water stress during rainy season due to rainfall distribution, increasing herbage accumulation rate of elephantgrass. However, when the availability of light and temperature to plant growth is reduced, the impact of irrigation can be limited [24]. This shows the influence of ambient climate on the nutritive value and morphological aspects of forage [25]. Our study suggests that when soil water availability is a limiting factor, irrigation has the potential to decrease seasonality of forage accumulation, reducing forage gap. However, during the rainy season, irrigation showed little effect on variables. This probably occurred due to favorable rainfall distribution during the rainy season, which reduced water stress.
Thus, using forage grasses with greater potential for forage accumulation, such as elephantgrass, can help to increase the efficiency of forage-based livestock systems. Additionally, during the rainy season the differences in HAR and LAR among dwarf and tall genotypes declined, indicating the potential for dwarf types with greater forage nutritive value to fill forage gaps, in line with the results found by [10] using the same genotypes in this study to feed sheep. They concluded that dwarf genotypes are recommended for cut-and-carry system, due to greater nutritive value.
Water contributes to cell elongation and plant growth [26]. Of the processes related to plant growth, cell formation (mainly cell expansion and differentiation) is the most sensitive to cell turgor because cells become turgid when water enters and cell size increases [27]. Genetic differences among genotypes contribute to differences in leaf and stem accumulation rate and affect forage nutritive value. In our study, water availability was the main factor in declining L:S ratio, due to advancing phenological phases and consequent plant maturity, that happened much faster under irrigation [28].
Similar reduction in nutritive value to our study, featured by CP and IVDDM in the dry season for the tall elephantgrass cv. ‘Roxo’ under irrigation, was reported by [3]. Reduction in CP and increase in NDF concentrations of tropical grasses in the rainy season under irrigation conditions were also reported by [29]. According to the authors, irrigation contributed to changes in grass growth, increasing SAR and reducing leaf:stem ratio. Irrigation contributed to a greater cell wall deposition, since turgor pressure increases the mechanical rigidity of cells and tissues of leaf and stems, increasing lignin concentration, which has a negative impact on IVDDM.
Water stress affects leaf and stem elongation due to increased stomatal closure and decrease in carbon dioxide and photosynthetic rate, contributing to disturbances in amino acid and carbohydrate metabolism. Thus, carbohydrates and protein metabolites such as proline and glycine accumulate in leaves and stems, in line with our finding of increased CP and soluble carbohydrates with rainfed conditions, favoring the growth and development of the ruminal microbiota [28]. Additionally, during rainy season or irrigation conditions, the high activity of meristematic regions drain most of the available assimilates, increasing stem tracheid maturation even in thin cell walls. This also contributes to secondary thickening and lignification [26], thereby influencing NDF, ADF, and lignin accumulation in elephantgrass genotypes.
According to [30], Taiwan A-146 2.37 has a spiky and erect arrangement of leaves, which probably requires more fiber to maintain, even for stems that show greater elongation capacity than Mott [9], likewise explained by the higher support requirement mentioned above. According to [31], Mott and Taiwan A-146 2.37 dwarf elephantgrasses exhibit a greater distance between the epidermis and vascular bundles, possessing a larger parenchymatic tissue area. This tissue is generally easily digested by ruminal microorganisms and probably contributed to the similar IVDDM for Mott and Taiwan A-146 2.37, despite Taiwan A-146 2.37 presenting the greater fiber concentration.

4.2. Protein and Carbohydrate Fractionation

Variations in CHO and CP contents were reported by [32]. The greater proportion of fraction A contributes to increased animal performance, because it is a source of readily available N important to carbohydrate fermentation and incorporation into carbon skeletons by microorganisms [33]. According to [34], grass development occurs at the expense of non-fiber carbohydrates, reducing potentially digestible nutrients and affecting forage nutritive value; it was observed in our experiment the greater that grass development under irrigated conditions was associated with increases in plant cell wall, which was probably a result of increase the thickness as the cell content (potentially digestible nutrients) decreases with the stimulation of plant growth [23,35,36], thereby reducing animal performance [33].
The carbohydrate A + B1 fraction is particularly important because it has rapid rates of rumen fermentation contributing to a greater IVDDM, because it provides the primary energy source for rumen microorganism multiplication [37].
Carbohydrate fraction C is represented by lignin, an indigestible plant fiber fraction [38]. Stems generally contain a greater proportion of vascular bundles with different proportions of lignin-rich sclerenchyma rings [39]. Resistant tissues present in the stems support plant structures (e.g., leaves and inflorescences), especially under greater water supply. Greater content of fraction C, however, contributes to reducing potentially degradable fiber fraction, positively affecting animal intake by the rumen filling effect [40]. In our study, presence of water contributed to faster plant growth and consequently increased C.
However, more research should be carried on indigestible fractions of carbohydrates, considering the advances in research and methodologies regarding the measurement of indigestible NDF. Lignin type and linkages of phenolic acids may explain a reasonable portion of the variation in indigestible NDF, but they may differ among varieties and stages of maturity, indicating that use of the same factors to explain digestibility in all forages across all agronomic conditions will likely lead to erroneous characterizations. This indicates that the laboratory detergent system and the chemical composition of the plant may not correctly describe the rate and extent of digestibility at all conditions since the linkages among fiber fractions explain only a portion of the digestion behavior [41].
Fiber accounts for most of the total carbohydrates contained in forage grasses [40], and elephantgrass is considered one of the best ruminant feed sources in warm climates [42]. Carbohydrate fractionation of various tropical grasses was evaluated by [34]. They reported greater forage accumulation rate during the rainy season, with a more rapid increase of stem fraction in the total forage mass, contributing to increases of NDF, ADF, carbohydrate fraction C, and lignin. An increase in fraction C is usually followed by the reduction in A + B1 fraction, contributing to reduced available energy for rumen microorganisms responsible for fiber carbohydrates fermentation, lowering ruminant performance.

5. Conclusions

Irrigation increases HAR, LAR, and SAR of elephantgrass genotypes, with the potential to minimize seasonal deficits in forage production. Taiwan A-146 2.37, one of the dwarf cultivars in our study, had similar leaf:stem ratios as tall genotypes, while dwarf type Mott, with a greater leaf:stem ratio, had the greatest forage nutritive value under irrigated and rainfed conditions. Most CHO and CP soluble fractions accumulated in leaves. Elefante B and Iri 381 had a greater proportion of C fraction, which contributed to a reduction in forage nutritive value.
Under irrigation, the advantage of the generally greater forage nutritive value of Mott dwarf elephantgrass was not limited, while Taiwan A-146 2.37 showed an intermediary nutritive value and did not differ from Mott and tall genotypes. The optimization of elephantgrass forage production potential through irrigation promoted the greatest growth rates, notably in tall genotypes. Adjustments in harvest frequency by physiological type must therefore be made in order to obtain a forage with consistent nutritive value for ruminants.

Author Contributions

R.T.d.A.S.: Investigation, Methodology, Data curation, Writing—Original draft; M.V.F.d.S.: Conceptualization, Validation, Resources, Project administration; M.V.d.C.: Methodology, Data curation, Validation, Supervision; G.D.G.: Writing—Review and Editing, Visualization, Supervision; V.J.d.S.: Writing—Review and Editing; A.C.L.d.M.: Validation, Resources, Writing—Review and Editing, Project administration; J.P.M.: Writing—Review and Editing; R.E.P.R.: Investigation, Methodology, Writing—Review; J.C.B.D.J.: Writing—Review and Editing, Supervision. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by CAPES—Coordination for the Improvement of Higher Level Personnel—Brazil—Financing Code 001, FACEPE—Science and Technology Support Foundation of Pernambuco State, and CNPq—National Council of Scientific and Technological Development—Grants.

Institutional Review Board Statement

Ethics approval—The Ethics committee of Federal Rural University of Pernambuco approved the study (License n° 002/2020).

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Rainfall, crop evapotranspiration (ETc), daily irrigation, air temperature, and global solar radiation recorded during the experimental period at Garanhuns, Pernambuco, Brazil.
Figure 1. Rainfall, crop evapotranspiration (ETc), daily irrigation, air temperature, and global solar radiation recorded during the experimental period at Garanhuns, Pernambuco, Brazil.
Animals 11 02392 g001
Figure 2. Herbage accumulation rate (HAR) (kg dry matter/ha per day) as affected by irrigation for elephantgrass genotypes at Garanhuns, Pernambuco, Brazil. *EPM = Standard error of the means.
Figure 2. Herbage accumulation rate (HAR) (kg dry matter/ha per day) as affected by irrigation for elephantgrass genotypes at Garanhuns, Pernambuco, Brazil. *EPM = Standard error of the means.
Animals 11 02392 g002
Figure 3. Stem neutral detergent fiber (NDF) (g/kg dry matter) as affected by genotype for elephantgrass at Garanhuns, Pernambuco, Brazil. *EPM = Standard error of the means.
Figure 3. Stem neutral detergent fiber (NDF) (g/kg dry matter) as affected by genotype for elephantgrass at Garanhuns, Pernambuco, Brazil. *EPM = Standard error of the means.
Animals 11 02392 g003
Figure 4. Stem carbohydrate fraction B2 (g/kg carbohydrate) as affected by season for elephantgrass genotypes at Garanhuns, Pernambuco, Brazil. *EPM = Standard error of the means.
Figure 4. Stem carbohydrate fraction B2 (g/kg carbohydrate) as affected by season for elephantgrass genotypes at Garanhuns, Pernambuco, Brazil. *EPM = Standard error of the means.
Animals 11 02392 g004
Figure 5. Stem carbohydrate fraction C (g/kg carbohydrate) as affected by genotype (A) and season (B) for elephantgrass genotypes at Garanhuns, Pernambuco, Brazil. *EPM = Standard error of the means.
Figure 5. Stem carbohydrate fraction C (g/kg carbohydrate) as affected by genotype (A) and season (B) for elephantgrass genotypes at Garanhuns, Pernambuco, Brazil. *EPM = Standard error of the means.
Animals 11 02392 g005
Table 1. Herbage accumulation rate (HAR) and stem accumulation rate (SAR; kg dry matter/ha per day), as affected by the interaction between genotype and season for elephantgrass genotypes at Garanhuns, Pernambuco, Brazil.
Table 1. Herbage accumulation rate (HAR) and stem accumulation rate (SAR; kg dry matter/ha per day), as affected by the interaction between genotype and season for elephantgrass genotypes at Garanhuns, Pernambuco, Brazil.
GenotypeRainyDrySEM 2p-Value
HAR
Mott122 Ac 155 Bab230.007
Taiwan A-146 2.37146 Aab39 Bb
Elefante B124 Acb49 Bab
Iri 381150 Aa63 Ba
SAR
Mott57 Ac19 Ba80.001
Taiwan A-146 2.3771 Ab17 Ba
Elefante B89 Aab22 Ba
Iri 38190 Aa30 Ba
1 Uppercase letters in the row compare seasons, and lowercase within a column compare genotypes, by Tukey’s test (p ≤ 0.05). 2 SEM = Standard error of the means.
Table 2. Leaf accumulation rate (LAR; kg dry matter/ha per day) as affected by the interaction between genotype and irrigation for elephantgrass genotypes at Garanhuns, Pernambuco, Brazil.
Table 2. Leaf accumulation rate (LAR; kg dry matter/ha per day) as affected by the interaction between genotype and irrigation for elephantgrass genotypes at Garanhuns, Pernambuco, Brazil.
GenotypeIrrigatedRainfedSEM 2p-Value
Mott66 Aa 136 Ba90.048
Taiwan A-146 2.3749 Ab30 Ba
Elefante B56 Aab25 Ba
Iri 38159 Aab34 Ba
1 Uppercase letters in the row compare irrigations, and lowercase within a column compare genotypes, by Tukey’s test (p ≤ 0.05). 2 SEM = Standard error of the means.
Table 3. Leaf accumulation rate (LAR; kg dry matter/ha per day) and leaf:stem (L:S) ratio, as affected by the interaction between irrigation and season for elephantgrass genotypes at Garanhuns, Pernambuco, Brazil.
Table 3. Leaf accumulation rate (LAR; kg dry matter/ha per day) and leaf:stem (L:S) ratio, as affected by the interaction between irrigation and season for elephantgrass genotypes at Garanhuns, Pernambuco, Brazil.
SeasonIrrigatedRainfedSEM 2p-Value
LAR
Rainy69 Aa 159 Aa120.005
Dry55 Aa14 Bb
L:S
Rainy0.84 Aa0.77 Ab0.12<0.0001
Dry1.32 Ba2.01 Aa
1 Uppercase letters in the row compare irrigations, and lowercase within a column compare seasons, by Tukey’s test (p ≤ 0.05). 2 SEM = Standard error of the means.
Table 4. Leaf crude protein (CP), neutral detergent fiber (NDF), acid detergent fiber (ADF), and in vitro dry matter digestibility (IVDDM) (g/kg dry matter) as affected by the interaction between irrigation, genotype, and season for elephantgrass genotypes at Garanhuns, Pernambuco, Brazil.
Table 4. Leaf crude protein (CP), neutral detergent fiber (NDF), acid detergent fiber (ADF), and in vitro dry matter digestibility (IVDDM) (g/kg dry matter) as affected by the interaction between irrigation, genotype, and season for elephantgrass genotypes at Garanhuns, Pernambuco, Brazil.
GenotypeRainyDrySEM 2p-Value
IrrigatedRainfedIrrigatedRainfed
CP
Mott96 Aaα 188 Aaβ89 Baα140 Aaα30.005
Taiwan A-146 2.3786 Aabα82 Aabβ83 Babα109 Abα
Elefante B73 Abα76 Abβ78 Bbα107 Abα
Iri 38173 Abα75 Abβ79 Bbα96 Abα
NDF
Mott609 Abα600 Abα610 Abα537 Bbβ80.0038
Taiwan A-146 2.37683 Aaα688 Aaα687 Aaα626 Baβ
Elefante B684 Aaα697 Aaα686 Aaα612 Baβ
Iri 381697 Aaα670 Aaα690 Aaα611 Baβ
ADF
Mott297 Abα296 Abα310 Abα280 Bbβ40.016
Taiwan A-146 2.37 320 Aaα338 Aaα338 Aaα336 Aaα
Elefante B331 Aaα348 Aaα350 Aaα332 Aaα
Iri 381345 Aaα357 Aaα324 Aabα324 Aaβ
IVDDM
Mott658 Aaα697 Aaβ686 Baα726 Aaα210.0004
Taiwan A-146 2.37595 Aaα573 Aaβ593 Baα695 Aaα
Elefante B542 Abα548 Abβ537 Bbα610 Abα
Iri 381563 Abα522 Abβ555 Bbα619 Abα
1 Uppercase letters in the row compare irrigations within a season, lowercase within a column compare genotypes, and Greek letters in rows compare seasons within the irrigation treatments, by Tukey’s test (p ≤ 0.05). 2 SEM = Standard error of the means.
Table 5. Leaf lignin (g/kg dry matter) as affected by the interaction between irrigation and genotype for elephantgrass genotypes at Garanhuns, Pernambuco, Brazil.
Table 5. Leaf lignin (g/kg dry matter) as affected by the interaction between irrigation and genotype for elephantgrass genotypes at Garanhuns, Pernambuco, Brazil.
GenotypeIrrigatedRainfedSEM 2p-Value
Mott71 Ab 153 Bb30.038
Taiwan A-146 2.3799 Aab64 Bab
Elefante B112 Aa77 Ba
Iri 381116 Aa88 Ba
1 Uppercase letters in the row compare irrigations, and lowercase within a column compare genotypes, by Tukey’s test (p ≤ 0.05). 2 SEM = Standard error of the means.
Table 6. Stem crude protein (CP), acid detergent fiber (ADF), and lignin concentration (g/kg dry matter), as affected by the interaction between irrigation, genotype, and season for elephantgrass genotypes at Garanhuns, Pernambuco, Brazil.
Table 6. Stem crude protein (CP), acid detergent fiber (ADF), and lignin concentration (g/kg dry matter), as affected by the interaction between irrigation, genotype, and season for elephantgrass genotypes at Garanhuns, Pernambuco, Brazil.
GenotypeRainyDrySEM 2p-Value
IrrigatedRainfedIrrigatedRainfed
CP
Mott53 Aaα 149 Aaβ55 Baα69 Aaα4<0.0001
Taiwan A-146 2.3740 Abα40 Abβ47 Bbα67 Aaα
Elefante B43 Abα41 Abβ42 Bbα52 Abα
Iri 38137 Acα32 Acβ36 Bcα52 Abα
ADF
Mott367 Abα360 Abα377 Abα308 Bbβ100.012
Taiwan A-146 2.37433 Aaα423 Aaα427 Aaα362 Baβ
Elefante B415 Aaα401 Aaα416 Aaα353 Baβ
Iri 381448 Aaα434 Aaα443 Aaα376 Baβ
Lignin
Mott112 Abα120 Abα119 Abα99 Bbβ90.001
Taiwan A-146 2.37147 Aaα146 Aaα148 Aaα125 Baβ
Elefante B145 Aaα147 Aaα132 Aaα122 Baβ
Iri 381144 Aaα141 Aaα143 Aaα129 Baβ
1 Uppercase letters in the row compare irrigations within a season, lowercase within a column compare genotypes, and Greek letters in rows compare seasons within the irrigation treatments, by Tukey’s test (p ≤ 0.05). 2 SEM = Standard error of the means.
Table 7. Stem neutral detergent fiber (NDF) and in vitro digestible dry matter (IVDDM) (g/kg dry matter), as affected by the interaction between irrigation and season for elephantgrass genotypes at Garanhuns, Pernambuco, Brazil.
Table 7. Stem neutral detergent fiber (NDF) and in vitro digestible dry matter (IVDDM) (g/kg dry matter), as affected by the interaction between irrigation and season for elephantgrass genotypes at Garanhuns, Pernambuco, Brazil.
SeasonIrrigatedRainfedSEM 2p-Value
NDF
Rainy723 Aa 1709 Aa10<0.0001
Dry706 Aa649 Bb
IVDDM
Rainy365 Aa378 Ab80.0002
Dry364 Ba411 Aa
1 Uppercase letters in the row compare irrigations, and lowercase within a column compare seasons, by Tukey’s test (p ≤ 0.05). 2 SEM = Standard error of the means.
Table 8. Stem in vitro dry matter digestibility (g/kg dry matter) as affected by the interaction between genotype and season for elephantgrass genotypes at Garanhuns, Pernambuco, Brazil.
Table 8. Stem in vitro dry matter digestibility (g/kg dry matter) as affected by the interaction between genotype and season for elephantgrass genotypes at Garanhuns, Pernambuco, Brazil.
GenotypeRainyDrySEM 2p-Value
Mott367 Ba 1416 Aa110.0002
Taiwan A-146 2.37379 Ba415 Aa
Elefante B317 Bb366 Ab
Iri 381326 Bb378 Ab
1 Uppercase letters in the row compare seasons, and lowercase within a column compare genotype, by Tukey’s test (p ≤ 0.05). 2 SEM = Standard error of the means.
Table 9. Leaf protein fractionation (g/kg crude protein) as affected by the interaction between irrigation, genotype, and season for elephantgrass at Garanhuns, Pernambuco, Brazil.
Table 9. Leaf protein fractionation (g/kg crude protein) as affected by the interaction between irrigation, genotype, and season for elephantgrass at Garanhuns, Pernambuco, Brazil.
GenotypeRainyDrySEM 2p-Value
IrrigatedRainfedIrrigatedRainfed
A
Mott160 Aaα 1170 Aaβ160 Baα200 Aaα70.002
Taiwan A-146 2.37130 Aabα120 Abβ120 Babα170 Aabα
Elefante B100 Abα90 Acβ90 Bbα120 Abα
Iri 381100 Abα70 Acβ70 Bbα140 Abα
B1 + B2
Mott570 Aaα560 Aaβ590 Aaα600 Aaα12<0.0001
Taiwan A-146 2.37570 Aaα570 Aaα580 Aaα550 Aaα
Elefante B540 Aaα540 Aaβ560 Baα590 Aaα
Iri 381530 Aaα560 Aaα570 Aaα560 Aaα
B3
Mott210 Abα220 Abα200 Abα160 Bbβ7<0.0001
Taiwan A-146 2.37240 Aabα250 Aabα240 Aaα240 Aaα
Elefante B280 Aaα290 Aaα260 Aaα230 Baβ
Iri 381280 Aaα280 Aaα270 Aaα240 Baβ
C
Mott60 Abα50 Abα50 Abα40 Bbβ20.0006
Taiwan A-146 2.3760 Abα60 Abα60 Abα40 Bbβ
Elefante B80 Aaα80 Aaα90 Aaα60 Baβ
Iri 38190 Aaα90 Aaα90 Aaα60 Baβ
1 Uppercase letters in the row compare irrigations within a season, lowercase within a column compare genotypes, and Greek letters in rows compare seasons within the irrigation treatments by Tukey’s test (p ≤ 0.05). 2 SEM = Standard error of the means.
Table 10. Stem protein fractionations (g/kg crude protein) as affected by the interaction between irrigation, genotype, and season for elephantgrass genotypes at Garanhuns, Pernambuco, Brazil.
Table 10. Stem protein fractionations (g/kg crude protein) as affected by the interaction between irrigation, genotype, and season for elephantgrass genotypes at Garanhuns, Pernambuco, Brazil.
GenotypeRainyDrySEM 2p-Value
IrrigatedRainfedIrrigatedRainfed
A
Mott110 Aaα 1120 Aaβ110 Baα150 Aaα80.001
Taiwan A-146 2.37120 Aaα110 Aaβ110 Baα160 Aaα
Elefante B80 Aaα80 Aaβ90 Baα130 Aaα
Iri 38190 Aaα100 Aaβ90 Baα140 Aaα
B1 + B2
Mott360 Aaα360 Aaβ360 Baα440 Aaα7<0.0001
Taiwan A-146 2.37300 Aaα290 Aaβ350 Baα410 Aaα
Elefante B230 Abα230 Abβ220 Bbα360 Abα
Iri 381260 Abα240 Abβ250 Bbα340 Abα
B3
Mott410 Abα430 Abα420 Abα330 Bbβ6<0.0001
Taiwan A-146 2.37450 Abα450 Abα400 Abα340 Bbα
Elefante B550 Aaα540 Aaα560 Aaα390 Baβ
Iri 381500 Aaα520 Aaα510 Aaα420 Baβ
C
Mott120 Aaα90 Abα110 Aaα80 Bbβ20.001
Taiwan A-146 2.37130 Aaα150 Aaα140 Aaα90 Babβ
Elefante B140 Aaα150 Aaα130 Aaα120 Baβ
Iri 381150 Aaα140 Aaα150 Aaα100 Baβ
1 Uppercase letters in the row compare irrigations within a season, lowercase within a column compare genotypes, and Greek letters in rows compare seasons within the irrigation treatments, by Tukey’s test (p ≤ 0.05). 2 SEM = Standard error of the means.
Table 11. Leaf carbohydrate fractionation (g/kg carbohydrate) as affected by the interaction between genotype and irrigation for elephantgrass genotypes at Garanhuns, Pernambuco, Brazil.
Table 11. Leaf carbohydrate fractionation (g/kg carbohydrate) as affected by the interaction between genotype and irrigation for elephantgrass genotypes at Garanhuns, Pernambuco, Brazil.
GenotypeIrrigatedRainfedSEM 2p-Value
A + B1
Mott390 Ba 1460 Aa60.001
Taiwan A-146 2.37330 Bb420 Ab
Elefante B335 Bb400 Ab
Iri 381360 Bb410 Ab
B2
Mott460 Ab430 Bb7<0.0001
Taiwan A-146 2.37500 Aa450 Bab
Elefante B505 Aa480 Ba
Iri 381480 Aa460 Ba
C
Mott150 Aa110 Ba1<0.0001
Taiwan A-146 2.37170 Aa130 Ba
Elefante B160 Aa120 Ba
Iri 381160 Aa130 Ba
1 Uppercase letters in row compare irrigations, and lowercase within a column compare genotypes, by Tukey’s test (p ≤ 0.05). 2 SEM = Standard error of the means.
Table 12. Stem carbohydrate fractions A + B1 and B2 (g/kg carbohydrate) as affected by the interaction between genotype and irrigation for elephantgrass genotypes at Garanhuns, Pernambuco, Brazil.
Table 12. Stem carbohydrate fractions A + B1 and B2 (g/kg carbohydrate) as affected by the interaction between genotype and irrigation for elephantgrass genotypes at Garanhuns, Pernambuco, Brazil.
GenotypeIrrigatedRainfedSEM 2p-Value
A + B1
Mott262 Ba 1353 Aa5<0.0001
Taiwan A-146 2.37217 Bb270 Ab
Elefante B218 Bb253 Ab
Iri 381218 Bb253 Ab
B2
Mott505 Ab415 Bb13<0.0001
Taiwan A-146 2.37491 Ab409 Bb
Elefante B579 Aa483 Ba
Iri 381564 Aa491 Ba
1 Uppercase letters in row compare irrigations, and lowercase within a column compare genotypes, by Tukey’s test (p ≤ 0.05). 2 SEM = Standard error of the means.
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Souza, R.T.d.A.; dos Santos, M.V.F.; Cunha, M.V.d.; Gonçalves, G.D.; Silva, V.J.d.; Mello, A.C.L.d.; Muir, J.P.; Ribeiro, R.E.P.; Dubeux, J.C.B., Jr. Dwarf and Tall Elephantgrass Genotypes under Irrigation as Forage Sources for Ruminants: Herbage Accumulation and Nutritive Value. Animals 2021, 11, 2392. https://doi.org/10.3390/ani11082392

AMA Style

Souza RTdA, dos Santos MVF, Cunha MVd, Gonçalves GD, Silva VJd, Mello ACLd, Muir JP, Ribeiro REP, Dubeux JCB Jr. Dwarf and Tall Elephantgrass Genotypes under Irrigation as Forage Sources for Ruminants: Herbage Accumulation and Nutritive Value. Animals. 2021; 11(8):2392. https://doi.org/10.3390/ani11082392

Chicago/Turabian Style

Souza, Rayanne Thalita de Almeida, Mércia Virginia Ferreira dos Santos, Márcio Vieira da Cunha, Geane Dias Gonçalves, Valdson José da Silva, Alexandre Carneiro Leão de Mello, James Pierre Muir, Robson Elpídio Pereira Ribeiro, and José Carlos Batista Dubeux, Jr. 2021. "Dwarf and Tall Elephantgrass Genotypes under Irrigation as Forage Sources for Ruminants: Herbage Accumulation and Nutritive Value" Animals 11, no. 8: 2392. https://doi.org/10.3390/ani11082392

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