Ensiling Techniques for Whole-Plant Sunflowers (Helianthus annuus) and their Nutritive Values for Ruminants in Vietnam
Research Article
Ensiling Techniques for Whole-Plant Sunflowers (Helianthus annuus) and their Nutritive Values for Ruminants in Vietnam
Nguyen Hai Quan, Nguyen Huu Van*, Nguyen Thanh Thuy, Vo Thi Minh Tam, Le Duc Thao, Le Duc Ngoan
Faculty of Animal Sciences and Veterinary Medicine, University of Agriculture and Forestry, Hue University, Vietnam.
Abstract | The study aimed to evaluate the biomass yield, chemical composition and ensiling techniques of whole-plant sunflower Aguara 6. In Exp. 1, whole sunflower plant was harvested at the seeding period (SP) to measure biomass yield, chemical composition and energy values. Results showed that, fresh biomass yield was 62 tonnes/ha, in which, heads consisting of 46.8% with the highest, leave accounting for 35.5% and stems consisting of 17.7% as fresh matter with the lowest proportion. The dry matter (DM) content of the whole plant was 17.5% DM, in which 13.5% CP, 45.8% NDF, 44% ADF and 20.7% Lignin; and DE and ME values for ruminants were 3,436 and 2,818 kcal/kg DM, respectively. In Exp. 2, eight treatments included: Control (CTL) – without any additives; Salt 0.5% added to CTL (SCTL); Cassava byproduct added to CTL at 5, 10 and 15% (CB5, CB10 and CB15, respectively); Molasses added to CTL at 2.5, 5.0 and 7.5% (M2.5, M5.0 and M7.5, respectively). Samples were collected at day 0, 7, 14 and 21 for pH and ammonia, and day 0 and 21 for chemical analysis. Results indicated that after 21 days of ensiling, the pH value of silage in 8 treatments were lower than 4.5. There was no effect of additives and their level inclusions on ensiled sunflowers nutritive values. Change in organic matter was found with 0.7-2.3% unit in all treatments. In general, whole Aguara 6 sunflower can be ensiled and has a potential for ruminants.
Keywords | Sunflower, Biomass yield, Nutritive values, Additives, Ensiling.
Received | December 19, 2021; Accepted | May 30, 2022; Published | August 16, 2022
*Correspondence | Nguyen Huu Van, Faculty of Animal Sciences and Veterinary Medicine, University of Agriculture and Forestry, Hue University, Vietnam; Email: [email protected], [email protected]
Citation | Quan NH, Van NH, Thuy NT, Tam VTM, Thao LD, Ngoan LD (2022). Ensiling techniques for whole-plant sunflowers (helianthus annuus) and their nutritive values for ruminants in vietnam. Adv. Anim. Vet. Sci. 10(9): 1953-1961.
DOI | http://dx.doi.org/10.17582/journal.aavs/2022/10.9.1953.1961
ISSN (Online) | 2307-8316
Copyright: 2022 by the authors. Licensee ResearchersLinks Ltd, England, UK.
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
INTRODUCTION
Sunflowers (Helianthus annuus) are native to Central and North America, but have been grown around the world (Heiser, 1955; Soare and Chiurciu, 2018). It is grown with the main objective of obtaining sunflower oil. Since the early 20th century, sunflower by-products such as postharvest stems, heads and by-products after oil pressing have been used as fodder for livestock. Sunflower plants have the characteristics of fast growth and high yield of fresh matter. In Cuba, sunflower yielded about 45-75 tons/ha of fresh matter in 60-70 days and in Brazil up to 90 tons/ha (Heuzé et al., 2015). Harvesting time of sunflower for ruminant depends on yield of fresh matter and protein value in it.
In Viet Nam, the research results on Mexican sunflower (Tithonia diversifolia) indicated that sunflower could be used as a good silage for pigs (Nhan et al., 2011) and goats (Hong and Preston, 2013) or as forage for goats (Sao et al., 2010). However, sunflower was first widely grown and used as a feed resource for dairy cows in 2010 at TH Truemilk, Nghe An province. According to Cuong (2016), the variety Aguara 6 was introduced to Viet Nam during 2013 to 2016, and the fresh matter yield of Aguara 6 was 15-20% higher than that of maize whole-plant. The CP content of sunflower (13%) was higher than that of other forages such as Elephant grass (Pennisetum purpureum) (9.7%) (Heuzé et al., 2015; Heuzé et al., 2020).
Usually, sunflower plants are harvested for animal feed when the plant is in bloom and often used for silage. Whole-plant sunflower silage usually contains higher CP (11,4%), EE (17,4%) and minerals (3,5%) when compared to maize silage (5,7% CP, 4,2% EE and 2,5% minerals) (Mello et al. 2004). The advantages of sunflower in comparison with the maize and sorghum were the higher tolerance to drought, lower temperatures in the germination period (until 5°C), shorter vegetative cycle, favouring more than one cultivation in summer with other culture and desired quality of the ensiled product. Neumann et al. (2009) reported that the lower content of DM (20 - 25%) and the high content of EE (10 - 18%) had been indicated as the main restrictions for sunflower silage, due to higher storage losses.
On the other hand, the use of additives such as cassava byproduct (CB) and molasses (M) to enhance natural fermentation for silage making was mentioned by many authors (Ba et al., 2005). The addition of rice bran or cassava root meal in cassava foliage silage at levels of 5 or 10% produced good quality silage that could be stored for at least five months (Ly and Ngoan, 2007).
This study therefore, aimed at identifying the potential use of sunflower Aguara 6 whole-plant as ruminant feed through chemical composition assessment and ensiling technique applications.
MATERIALS AND METHODS
The study was carried out at the University Research Centre (URC) in Huong Tra district, Thua Thien Hue province during 2019-2020.
Experiment 1. Determination of biomass yield and chemical composition
Sunflower Aguara 6 plants were planted with a density of 30,000 plants/ha in 1,300m2 devided equally into 5 plots during Summer-Autumn 2019 in Thua Thien Hue province, Central Viet Nam. Monthly average temperature and rainfall ranged 26.4-28.5oC and 120-320 mm in Summer, respectively; and 20.3-23.9oC and 600-1,500 mm in Autumn, respectively.
Samples were taken at seeding period (50% of flower seeding, 85 days old) to determine biomass field of whole-plant and plant components (leaves, stems and heads). In each plot, whole-plants were cut within an area of 1 m2 as 5 replicates.
Experiment 2. Ensiling technique
Experimental design
The experiment was arranged with 8 treatments and 4 replicates: Control (CTL) - no additives were used; Salt added 0.5% to CTL (SCTL); added 5% cassava byproducts (CB) to CTL (CB5); 10% CB to CTL (CB10); 15% CB to CTL (CB15); added 2.5% molasses (M) to CTL (M2.5); 5% M to CTL (M5); and 7.5% M to CTL (M7.5).
Whole-plant sunflower in the Exp. 1 were harvested at seeding stage, chopped, mixed carefully and withered in the sun drying for one day. Then they were carefully mixed with salt or additives (CB and M) following above mentioned proportions. For each treatment, 1 kg of the mixture sample was randomly taken and put in a plastic bag (size 40 × 60 cm). There were 40 bags (5 replicates x 8 treatments) in total. The bags were then vaccummed and sealed to ensure anaerobic conditions. All bags were stored in Styrofoam containers to avoid direct sunlight.
Sampling
Silage samples were taken at days of 0, 7, 14, and 21 for pH and ammonia analyses. In order to determine pH and ammonia, samples were chopped to less than 1 cm in size, weighed 15 g and added distilled water into a 250 ml plastic bottle with a double-layer cap to ensure that water did not flow out when shaking. Pour 140 ml of distilled water (deionized water) into the sample bottle and shake vigorously and evenly (using a sample shaker) and place in the refrigerator, then shaked once every 6 hours. After 24 hours, take it out and put it in the shaker, shake it for 1 hour; Continue to take samples and extract the water, a subsample of each replicate was stored for further analysis of ammonia and then use the pH meter to determine the value of each sample.
The silage samples were taken at days of 0, 7, 14 and 21, dried at 60oC, then finely ground, preserved and analysed for chemical composition.
Chemical analysis
Analyse of feed samples and silage samples was conducted at the Lab of the Faculty of Animal Sciences and Veterinary Medicine, University of Agriculture and Forestry, Hue University. Analytical parameters and methods: including dry matter, crude protein, ether extract and total ash were analysed according to routine methods (AOAC, 1990). The fibre components of NDF, ADF and Lignin were analysed on the Ankom system (A200). Ammonia in silage was analyzed using the technique described by Chaney and Marbach (1962) and a detailed processing was described by Nguyen et al. (2019).
Data analysis
The data were managed and calculated on Microsoft Excel software. Comparison of changes in chemical composition of sunflower after incubation was processed according to the model: one-way ANOVA, using SPSS software (version 24.0). When the P value of the F test is less than 0.05, the LSD test is used to check for difference. Statistical analysis model:
Yij = μ + Ti + eij
Where, Yij = Random variable, μ = Overall mean value; Ti = Effect of treatment, eij = Random error.
RESULTS AND DISCUSSIONS
Biomass yield and chemical composition
The yield of sunflowers cut at seeding stage and the chemical composition of the plants at the seeding stage are presented in Tables 1 and 2.
Table 1: Biomass yield and proportion of parts of sunflower whole plant at seeding stage.
Biomass (kg fresh/m2) |
Biomass (ton fresh /ha) |
Proportion (% in fresh matter) |
||
Stems | Leaves | Heads (Flower) | ||
6.20 | 62.0 | 17.7 | 35.5 | 46.8 |
Table 2: Chemical composition of sunflower whole-plant at seeding stage (% as DM).
Item |
Value |
Dry matter | 17.5 |
Crude protein |
13.5 |
Ether extract | 5.91 |
NDF | 45.8 |
ADF | 44.0 |
Crude fibre | 21.7 |
Lignin | 20.7 |
Ash | 11.4 |
Caculated DE* (kcal/kg DM) |
3,436 |
Calculated ME* (kcal/kg DM) |
2,818 |
* Calculated followed NRC 2016: DE (kcal/ kg DM) = 100(-4.4 + 1.1 x GE – 0.024 x CF)/4.184; ME (kcal/kg DM) = 0.82 x DE (NRC 2016) and GE (kcal/kg DM) = 4,143 + 56 x EE + 15% x CP – 44 x Ash. In which, GE in MJ/kg DM, and CF, EE, CP in % DM
Sunflower (Helianthus annuus L.) was primarily an oil crop but the plant itself and its crop residues (heads and leftover stalks) have been a popular roughage for livestock since the early 20th century. Sunflower is a fast-growing crop with high biomass yield, so it can be used as an alternative forage. Sunflower could be a valuable option of forage under drought conditions or where there was a shortage of roughage (Garcia, 2006; Goncalves et al., 1999).
In this study, biomass yield of sunlower whole plant was 62 tons of fresh/ha in 85 days and the biomass yield of heads accounted for 46.8% of total biomass, was highest in comparion with leaf and stem. Biomass yield of sunflower varies depending on different growing condition, For example, in Cuba, fresh matter yields of sunflower were 45-75 tons/ha in 60-70 days in dry conditions, and up to 90 tons/ha in Brazil (Goncalves et al., 1999). In Romania, biomass yield of sunflower plants planted with different densities, different soil compositions, and different seasons ranged from 56.6-90.1 tons of fresh/ha (Ion et al., 2015). Estrada and Gozales (2010) reported that, the biomass yield of sunflowers grown on saline soils in Mexico ranged from 30-100 tons of fresh/ha. Therefore, the results on biomass yield of sunflower whole-plant in this recent study are comparable with above reports.
In this study, sunflower whole-plant was harvested at 50% flowers seeding. It was late harvest as compared with Tan and Tumer (1996), who recommended the harvest time at stages between 25% flowers blooming and the final flowering stage. However, Myers et al. (1993) reported that, half the flower area filled with immature seeds can be a signal for harvest. The best harvest time for ensiling sunflower was highly variable, depending on climatic conditions and sunflower genotypes (Toruk et al., 2010; Goncalves et al., 1999).
Heuzé et al. (2015) reported that NDF, ADF and lignin contents of sunflower were 39.6%, 35.9% and 9.7%, respectively. Those values are all lower than the current research results, especially the lignin content. This difference may be due to the time of harvest or may be due to climate (temperate versus tropical climate). Crude protein value in this study was 13.5%, which is consistent with finding by Heuzé et al. (2015) and Myers et al. (1993) that CP level declined, and lignin content greatly increased after flowering stage.
pH value and chemical composition of ensiled sunflower
pH value: Results of pH values in all treatments throught the ensiling periods are presented in Table 3 and Figure.1.
pH value is one of the important criteria for assessing the quality of the silage product. The pH value of the silage is affected by many factors and was reported in range 3.7 to 4.0 in maize silage and 4.3 to 5 in legume silage (Limin et al., 2018).
Table 3: Effect of additives and times on pH value during ensiling.
Treatment |
Ensiling day |
SEM |
p-value |
|||
0 | 7 | 14 | 21 | |||
CTL |
5.28ab1 |
4.67a2 |
4.79a2 |
4.24a2 |
0.048 | <.001 |
SCTL |
5.37ab1 |
4.56ab2 |
4.49b2 |
4.47ab2 |
0.049 | <.001 |
CB5 |
5.33ab1 |
4.44bc2 |
4.38bc2 |
4.24bc2 |
0.065 | <.001 |
CB10 |
5.47a1 |
4.32d2 |
4.12d2 |
4.23bc2 |
0.049 | <.001 |
CB15 |
5.30ab1 |
4.26d2 |
4.14d2 |
4.27bc2 |
0.049 | <.001 |
M2.5 |
4.95c1 |
4.33cd2 |
4.22cd2 |
4.17c2 |
0.042 | <.001 |
M5 |
5.19abc1 |
4.33cd2 |
4.24cd2 |
4.19c2 |
0.061 | <.001 |
M7.5 |
5.05bc1 |
4.29bcd2 |
4.30bcd2 |
4.17c2 |
0.036 | <.001 |
SEM | 0.068 | 0.026 | 0.046 | 0.051 | ||
p-value | <.000 | <.000 | <.000 | <.000 |
abcd: Means in the same column without common letter are different at p<0.05
12: Means in the same row without common letter are different at p<0.05
Table 4: Effect of additives on dry matter content during ensiling (%).
Treatment |
Ensiling day |
SEM |
p-value |
|||
0 | 7 | 14 | 21 | |||
CTL |
20.301 |
16.26b2 |
21.47a1 |
16.07ab2 |
1.474 | 0.049 |
SCTL | 17.62 |
17.51ab |
13.92b |
15.14b |
1.260 | 0.154 |
CB5 | 18.33 |
18.46ab |
16.50ab |
18.19a |
0.580 | 0.108 |
CB10 | 18.89 |
18.43ab |
18.69a |
18.27a |
0.509 | 0.832 |
CB15 | 18.32 |
18.33ab |
19.40a |
18.36a |
0.509 | 0.91 |
M2.5 |
19.381 |
18.85a12 |
15.59ab12 |
18.14a2 |
1.261 | 0.033 |
M5 |
21.671 |
17.52ab12 |
14.17b2 |
18.29a12 |
0.832 | 0.014 |
M7.5 | 18.90 |
18.19ab |
19.00a |
18.66a |
0.673 | 0.832 |
SEM | 1.031 | 0.509 | 1.527 | 0.817 | ||
p-value | 0.205 | 0.042 | 0.017 | 0.049 |
ab: Means in the same column without common letter are different at p<0.05
12: Means in the same row without common letter are different at p<0.05
Table 5: Effect of additives and times on organic matter content during ensiling (% as DM).
Treatment |
Ensiling day |
SEM |
p-value |
|||
0 | 7 | 14 |
21 |
|||
CTL |
88.55d |
87.25c |
85.65c |
87.46d |
0.702 | 0.232 |
SCTL |
88.05d1 |
87.25c1 |
85.65c2 |
85.82e2 |
0.318 | <.001 |
CB5 |
91.72b1 |
91.51b1 |
90.732b2 |
90.99b2 |
0.113 | <.001 |
CB10 |
93.46a1 |
92.98a1 |
92.32a2 |
92.16a2 |
0.138 | <.001 |
CB15 |
93.98a1 |
93.57a12 |
92.89a2 |
93.01a2 |
0.139 | 0.015 |
M2.5 |
91.19bc1 |
90.17b2 |
89.59b2 |
90.27bc2 |
0.222 | 0.001 |
M5 |
91.72b1 |
90.29b2 |
89.62b2 |
90.37bc2 |
0.191 | <.001 |
M7.5 |
90.47c1 |
89.98b2 |
89.62b2 |
89.67c2 |
0.199 | 0.038 |
SEM | 0.208 | 0.493 | 0.261 | 0.202 | ||
p-value | <.000 | <.000 | <.000 | <.000 |
abc: Means in the same column without common letter are different at p<0.05
12: Means in the same row without common letter are different at p<0.05
Figure 1 shows that, initially, the pH values of the silages were from 4.9 to 5.5 and rapidly decreased after 7 days of ensiling to 4.3 - 4.7 and reached stable levels of 4.2 - 4.8 during 7 - 21 days. The pH value of the CTL treatment after 14 days of ensiling was 4.8, which was higher than all other treatments (pH<4.5) (P<0.05) and the recommended value; After 21 days of silage, the molasses added treatments had a lower pH values than those of the CTL and SCTL treatments (pH<0.05), however the pH values in all treatments were smaller than 4.5.
Thus, the pH value decreased during the first 14 days of ensiling and became quite stable during the next week. The addition of cassava byproducts and molasses resulted in a decrease in pH and remained stable at 4.2 - 4.3 after 21 days of ensiling. Molasses have been reported to be an effective silage additive regarding to enhancing lactic fermentation resulting in reducing silage pH and starch from cassava also is an available substrate for development of lactic acid bacteria (Yitkarek and Tamir, 2014). Silages with molasses had the lowest pH while the control silages without additive tended to have the highest pH. In general, the pH values of the ensiled materials were in the range of 5.0 to 5.5, which was higher than traditional silages made from grass or maize (McDonald et al., 1991).
Dry matter content during ensiling
Data in Table 4 shows that the DM contents of all cassava byproduct added treatments, SCTL and M7.5 were stable throughout the silage period, while DM contents of CTL, M2.5 and M5 treatments were declined after 21 days of ensiling (P<0.05). There was no significant difference on DM content between all treatments at starting day (P>0.05), but after 21 days, DM of SCTL was lower than all other tested treatments (P<0.05). The decrease in DM content in the pre- and post-fermentation periods may be due to the initial aerobic exchange that produces water, CO2, ammonia and heat production (Mc Allister and Hristov 2000). This is followed by evaporation and loss of water, which reduces the dry matter content. However, Nguyen et al. (2005) reported no difference in dry matter content of Orchard grass before and after ensiling. Similarly, Gerlach et al. (2018) and Köhler et al. (2019) also reported no difference in DM content of corn and grass silages. In the initial aerobic exchange stage, aerobic microorganisms continue to work with the remaining oxygen in the incubator. As a result, carbohydrate and protein compounds are converted to water, CO2, heat and free ammonia (Mc Allister and Hristov, 2000). This process only stops when the amount of O2 in the incubator is used up. As the annealing temperature increases, the loss of organic matter increases. Ree (1982) reported that 1.7% of the dry matter was lost with an increase of 10°C of the incubator. The author also revealed that the temperature of the annealing blocks often increased by 12oC compared to the initial incubation time. The dry matter content depends on the initial sun exposure of sunflower plants, in this experiment the sunflowers were exposed to about 80% humidity. Although the humidity level was high, the quality of silage was not damaged through the storage time.
Organic matter
Effects of different additives on organic matter content during ensiling process presented in Table 5.
The results in Table 5 show that, in all treatments, the OM content of the silage in day 21 (the final day) decreased by about 0.7-2.3% compared to day 0 (the beginning day) (P<0.05), with the exception of the CTL treatment. As the result of additives added, all cassava and molasses treatments had higher OM content than the CTL and SCTL treatments at all 4 measurement days.
Crude protein content
Table 6 shows that the crude protein of the initial incubation was at around 8.5 - 13.7%. After 21 days of fermentation, the highest crude protein values were observed in CTL treatments (ranged from 13.4-13.5%), followed by treatments added molasses (from 11.7-12.4 %) and the lowest values were recorded in treatments added cassava products (roughly from 8.5-10.5%) (P<0.05). Interestingly, CP values after 21 days were significantly (P<0.05) different between three treatments added cassava products, in that the higher level of cassava added (15%), the lower CP value was recorded.
Crude protein content represented an important nutritional value for animals. The primary goal of the silage block is to preserve the feed and maintain the nutritional value. Especially if in the incubation block after 21 days, the protein value is maintained, showing good quality of the incubator. During the bulk incubation, proteolysis and lipolysis increase non-protein nitrogen which can lead to a change in the protein content of the incubator (Mc Don
Table 6: Effect of additives and times on crude protein during ensiling (% as DM).
Treatment | Ensiling day | SEM | p-value | |||
0 | 7 | 14 | 21 | |||
CTL | 13.72a | 12.49a | 14.15a | 13.52a | 0.423 | 0.088 |
SCTL | 13.27ab1 | 12.61a12 | 13.29a12 | 13.48a2 | 0.415 | 0.011 |
CB5 | 9.74c | 10.81ab | 11.21b | 10.59c | 0.344 | 0.06 |
CB10 | 9.43cd | 11.05a | 8.98c | 9.40d | 0.724 | 0.243 |
CB15 | 8.48d | 9.09b | 8.56c | 8.53e | 0.721 | 0.66 |
M2.5 | 12.73b1 | 12.59a2 | 12.44ab12 | 12.45b12 | 0.383 | 0.029 |
M5 | 12.18b1 | 12.59a2 | 12.32ab12 | 11.77b2 | 0.187 | 0.021 |
M7.5 | 12.09b1 | 11.75a1 | 12.97ab2 | 12.46b12 | 0.185 | 0.003 |
SEM | 0.202 | 0.399 | 0.412 | 0.152 | ||
p-value | <.000 | <.000 | <.000 | <.000 |
abc: Means in the same column without common letter are different at p<0.05
1234: Means in the same row without common letter are different at p<0.05
Table 7: Effect of additives and times on ammonia content during ensiling (% as total N).
Treatment | Ensiling day | SEM | p-value | |||
0 | 7 | 14 | 21 | |||
CTL | 3.66a1 | 6.61ab2 | 7.493 | 8.71ab3 | 0.485 | <.001 |
SCTL | 3.35b1 | 5.61abc2 | 7.533 | 8.98a3 | 0.472 | <.001 |
CB5 | 3.06c1 | 4.73bc2 | 6.282 | 6.64ab2 | 0.663 | <.001 |
CB10 | 3.01c1 | 6.90a2 | 6.382 | 6.96ab2 | 0.390 | <.001 |
CB15 | 3.86d1 | 6.54ab2 | 7.652 | 7.07ab2 | 0.391 | <.001 |
M2.5 | 3.38b1 | 5.77abc2 | 5.352 | 7.14ab2 | 0.643 | <.001 |
M5 | 3.38b1 | 5.07abc2 | 7.132 | 7.28ab2 | 0.721 | <.001 |
M7.5 | 3.33b1 | 4.40c2 | 5.432 | 5.91b2 | 0.459 | <.001 |
SEM | 0.048 | 0.413 | 0.613 | 0.619 | ||
p-value | <.000 | 0.002 | 0.064 | 0.035 |
abc: Means in the same column without common letter are different at p<0.05
123: Means in the same row without common letter are different at p<0.05
Table 8: Effect of additives and times on NDF content during ensiling (%).
Treatment | Ensiling day | SEM | p-value | |||
0 | 7 | 14 | 21 | |||
CTL | 45.731 | 45.71a1 | 46.08a1 | 43.14abc2 | 0.610 | 0.018 |
SCTL | 46.69 | 43.25a | 45.44ab | 41.30bc | 1.891 | 0.244 |
CB5 | 42.74 | 41.81ab | 43.84abc | 41.86bc | 0.890 | 0.372 |
CB10 | 43.53 | 41.82ab | 42.26bc | 41.49bc | 0.798 | 0.332 |
CB15 | 43.09 | 40.58b | 40.62c | 41.13bc | 0.799 | 0.139 |
M2.5 | 42.48 | 45.61a | 42.70bc | 44.04ab | 0.791 | 0.653 |
M5 | 46.65 | 45.61a | 46.23a | 45.88a | 1.081 | 0.774 |
M7.5 | 41.92 | 41.25ab | 42.15c | 40.38c | 0.466 | 0.079 |
SEM | 1.351 | 1.088 | 0.687 | 0.728 | ||
p-value | 0.093 | 0.019 | <.000 | <.000 |
abc: Means in the same column without common letter are different at p<0.05
12: Means in the same row without common letter are different at p<0.05
ald et al., 1991). The content of non-protein nitrogen in the substrate plants determines the degree of proteolysis in the incubator.
Ammonia content
Effects of additives on ammonia concentration of ensilages during ensiling process are indicated in Table 7 and Figure 2.
The ammonia contents of all treatments increased through the silage time (P<0.05). At the beginning ammonia ranged from 3.01 to 3.86 % of total nitrogen, it increased between 5.91% to 8.98% after 21 days. Ammonia content of SCTL treatment was higher than that of the M7.5 treatment (P<0.05) after 21 days of silage. Ba et al. (2005) reported that the ammonia content of total N increased from about 9% in the fresh foliage to about 11% after ensiling. The increase in ammonia-N was indicative of some breakdown of the protein, which would be facilitated by the relative high pH with 5.0 to 5.6.
Neutral Detergent Fibre content
The role of NDF is to provide fibre as an essential substrate for ruminants through fermentation of microorganisms. The NDF content reflects the nutritional quality of the compost over the substrates. Data in Table 8 shows that, NDF of CTL treatment was significant (P<0.05) difference between day 0 and day 21, whereas significant (P>0.05) differences were not showed in other treatments The result of NDF value was consistent with the hemicellulose content (by calculated the NDF-ADF content) of sunflower at 1.8% (Table 2). Some studies have reported that the silage often reduced the NDF content (Gerlach et al., 2018; Köhler et al., 2019), the result of the structural carbohydrates being hydrolysed by enzymes in the ensilage. However, Köhler et al. (2019) showed that the decrease in NDF content was due to the reduction of hemicellulose, meaning that the ADF content did not decrease after incubation. This could be due to the chemical structure of the sunflower, the time of harvest as well as the microbial activity of the silage. In the day 0, the control and salt added control treatment tended to contain higher NDF content than other treatments (P<0.1). In the mean time of silage at days of 7, 14 and 21, there was a difference in NDF content between treatments. However, the was no clearly effect of additives on NDF content.
In general, the disadvantage of sunflower silage was the fibrous stalk that causes a high fibre content which could be two to three times as much as maize silage. The increased fibre content of sunflowers was caused by high levels of lignin, which is the indigestible portion of the plant. Because the increased fibre content of sunflower silage is offset somewhat by the higher oil content, the total digestible nutrients (TDN) of sunflower silage is only slightly lower than maize silage.
CONCLUSIONS AND RECOMMENDATIONS
The biomass yield of the sunflower Agura-6 whole-plant grown in Thua Thien Hue province was at 62 tons of fresh/ha at 85 days old. Sunflower whole-plant contained 17.5% dry matter and 13.5% crude protein, but high lignin content (20.7%). Calculated values of DE and ME for ruminants were 3,436 and 2,818 kcal/kg DM.
Additives such as cassava byproduct and molasses in different proportions did not clearly affect the nutritional characteristics of the silage. However, changes in the composition of volatile fatty acids and lactic acid in the silage should be determined to have full assessment of the quality of the silage.
ACKNOWLEDGEMENT
This study was financially supported by University of Agriculture, Hue University. The project code: DHNL-2020-01.
CONFLICT OF INTEREST
The authors have declared no conflict of interest.
novelty statement
To our knowledge, this is the first study to evaluate the biomass yield and potential use as ruminant feed of the sunflower Aguara-6 in Vietnam. In the current study, the local additives such as cassava byproduct and molasses did not clearly effect on the chemical composition of ensiling products.
authors contribution
All authors shared equally in experimental design and conducting the experiment. NHQ, NHV and LDN drafted and revised the final manuscript.
REFERENCES
AOAC (1990). Official Methods of Analysis. 15th ed. Association of Official Analytical Chemists, Arlington, VA, USA: AOAC international; 1990.
Ba NX, Giang VD, Ngoan LD (2005). Ensiling of mulberry foliage (Morus alba) and the nutritive value of mulberry foliage silage for goats in central Vietnam. Lives. Res. for Rural Development. 17(2): 1-5, http://www.lrrd.cipav.org.co/lrrd17/2/ba17015.htm
Chaney AL, Marbach EP (1962). Modified reagents for determination of urea and ammonia. Clin. Chem. 8, 130–132. https://doi.org/10.1093/clinchem/8.2.130
Cuong LP (2016). Aguara 6 whole plants are good for dairy cows. Vietnam Agriculture Newspaper dated 1/6/2016 at https://nongnghiep.vn/hoa-huong-duong-aguara-6-rat-tot-cho-bo-sua-d165749.html
Estrada EJA, Gonzalez RMT (2010). Sunflower biomass distribution and seed yield in saline soil of Mexico highlands. HELIA, 33(52):127-1344. https://doi.org/10.2298/HEL1052127E
Garcia A (2006). Alternative forages for dairy cattle: soybeans and sunflowers. South Dakota State University Cooperative Extension Service, Extension Extra N°4023
Gerlach K, Pfau F, Pries M, Hünting K, Weiß K, Richardt W, Südekum KH (2018). Effects of length of ensiling and maturity group on chemical composition and in vitro ruminal degradability of whole‐crop maize. Grass Forage Sci., 73, 599–609. https://doi.org/10.1111/gfs.12362
Gonçalves LC, Rodriguez NM, Pereira LGR, Rodrigues JAS, Borges I, Borges ALC, Saliba EOS (1999). Evaluation of different harvest times of four genotypes of sunflower (Helianthus annuus L.) for ensiling. FAO Electronic Conference on Tropical Silage. https://doi.org/10.1111/gfs.12362
Heiser CB (1955). The origin and development of the cultivated sunflower. American Biol. Teacher., 17(5): 161-167. https://doi.org/10.2307/4438706
Heuzé V, Tran G, Hassoun P, Lebas F (2015). Sunflower forage and crop residues. Feedipedia, a programme by INRAE, CIRAD, AFZ and FAO. https://www.feedipedia.org/node/143 Last updated on October 9, 2015, 13:57
Heuzé V., Tran G., Giger-Reverdin S., Lebas F., (2020). Elephant grass (Pennisetum purpureum). Feedipedia, a programme by INRAE, CIRAD, AFZ and FAO. https://www.feedipedia.org/node/395 Last updated on October 5, 2020, 10:34
Hong NTT, Preston TR (2013). Effect of biodigester effluent on the biomass production of Tithonia diversifolia and the use of the foliage as the basal diet for goats. Livest. Res. Rural Develop., 25 (1): 6. http://www.lrrd.org/lrrd25/1/hong25006.htm
Ion V, Dicu G, Dumbrava M, Temocico G, Istate D, Epure L (2015). Sunflower yield and yield components under different sowing conditions. Agric. Agric. Sci. Proced., 6, 44-51. https://doi.org/10.1016/j.aaspro.2015.08.036
Köhler B, Taube F, Ostertag J, Thurner S, Kluβ C, Spiekers H (2019). Dry-matter losses and changes in nutrient concentrations in grass and maize silages stored in bunker silos. Grass and Forage Sci., 74: 274-283. https://doi.org/10.1111/gfs.12430
Limin KJr, Shaver RD, Grant RJ, Schmidt RJ (2018). Silage review: Interpretation of chemical, microbial, and organoleptic components of silages. J. Dairy. Sci. 101 (5): 4020-4033. https://doi.org/10.3168/jds.2017-13909
Ly NTH, Ngoan LD (2007). Evaluation of the economical efficiency of using cassava leaves (variety KM 94) in diets for pigs in Central Viet Nam. J. Sci. Tech. Agric. Agricultural Publishing House, Hanoi. 12:275-284.
Mello R., Nornberg J.L., Da Rocha M.G (2004). Productive and qualitative performance of corn, sorghum and sunflower hybrids for ensiling. Agrociência, 10 (1): 87-95.
McAllister TA, Hristov AN (2000). The fundamentals of making good quality silage. Adv. Dairy Technol. 12:381–399.
McDonald P, Henderson AR, Heron SJE (1991). The Biochemistry of Silage. 2nd Ed. Chalcombe Publications, Bucks, UK.
Myers RL, Minor HC (1993). Sunflower: An American Native. University of Missouri Extension, G4290.
Neumann M, Oliboni R, Oliveira MR, Górski SC, de Faria MV, Ueno RK, Marafon F (2009). Sunflower (Helianthus annuus L.) for production of silage of the entire plant. Appl. Res. Technol. 2(3) (abs). DOI: https://doi.org/10.5777/paet.v2i3.1513.
Nguyen QH, Le PD, Chim C, Le ND, Fievez V (2019). Potential to mitigate ammonia emission from pig slurry by increasing dietary fermentable fiber through inclusion of tropical byproducts in practical diets for growing pigs. Asian-Austral. J. Anim. Sci. 32: 754–584. https://doi.org/10.5713/ajas.18.0481
Nhan NTT, Hon NV, Preston TR (2011). Studies on ensiling of Tithonia diversifolia and taro (Colocasia esculenta) and feeding the silage to fattening pigs as partial replacement of a basal diet of rice bran, broken rice, soybean meal and fish meal. Livest. Res. Rural Develop., 23 (5): 105. http://www.lrrd.org/lrrd23/5/nhan23105.htm
Nguyen HV, Kawai M, Takahashi J, Matsuoka S (2005). Change in nitrogen fractions and ruminal degradability of orchard grass ensiled at various moisture contents and the subsequent effects on nitrogen utilisation by sheep. Asian-Austral. J. Anim. Sci., 18(9): 1267-1272. https://doi.org/10.5713/ajas.2005.1267
Rees DVH (1982). The aerobic deterioration of grass silages and its effects on water-soluble carbohydrates and the associated heat production. J. Sci. Food Agric. 33:499–508. https://doi.org/10.1002/jsfa.2740330602
Sao NV, Mui NT, Binh DV (2010). Biomass production of Tithonia diversifolia (Wild sunflower), soil improvement on sloping land and use as high protein foliage for feeding goats. Livest. Res. Rurual Develop., 22 (8): 151, http://www.lrrd.org/lrrd22/8/sao22151.htm
Soare E and Chiurciu IA (2018). Considerations concerning worldwide production and marketing of sunflower seeds. Scientific Papers Series Management, Economic Engineer. Agric. Rural Develop., 18(3): 421-427.
Tan AS, Tumer S (1996). Research on the evaluation of silage quality of sunflowers. Anadolu Abstr., 6: 45-57
Toruk F, Gonulol E, Kayısoglu B, Koc F (2010). Effects of compaction and maturity stages on sunflower silage quality. Afr. J. Agric. Res., 5 (1): 055-059
Yitbarek MB, Tamir B (2014). Silage additive: Review. Open J. Appl. Sci., 4-258-274. https://doi.org/10.4236/ojapps.2014.45026
To share on other social networks, click on any share button. What are these?