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Nutritional diversity of Brachiaria ruziziensis clones

Divergência nutricional de clones de Brachiaria ruziziensis

ABSTRACT:

The aim of this study was to evaluate the nutritional diversity of Brachiaria ruziziensis clones through chemical composition and in vitro kinetics of ruminal fermentation. Twenty three clones of Brachiaria ruziziensis were used (15, 16, 46, 174, 411, 590, 651, 670, 768, 776, 844, 859, 950, 965, 970, 975, 1067, 1093, 1296, 1765, 1806, 1894 and 1972) and Brachiaria ruziziensis cv. ‘Kennedy’, Brachiaria brizantha cv. ‘Marandu’ and Brachiaria decumbens cv. ‘Basilisk’ as controls within 27 days of harvesting. The experimental design used randomized blocks with 26 treatments (genotypes) and three replications. Evaluation of the nutritional divergence was performed using principal components analysis, based on the following discriminatory variables: in vitro dry matter digestibility (IVDMD), neutral detergent fiber (NDF), lignin, crude protein (CP), degradation rate of non-fibrous carbohydrates (KdNFC) and degradation rate of fibrous carbohydrates (KdFC). The evaluation of the nutritional diversity of Brachiaria genotypes was based on the two main components (IVDMD and NDF), which explains 96.2% of the total variance Variables of lower contribution to the discrimination of the clones were as degradation rates of the fibrous and non-fibrous carbohydrates. In the agglomerative hierarchical grouping analysis, five distinct groups were identified, where V group, formed by clones 46, 768 and 1067 have higher values of IVDMD compared to the other clones.

Key words:
digestibility; discriminating variables; main components; nutritional value

RESUMO:

O objetivo deste estudo foi avaliar a divergência nutricional de clones de Brachiaria ruziziensis através da composição química e cinética de fermentação ruminal in vitro. Os tratamentos consistiram de 23 clones de Brachiaria ruziziensis (15, 16, 46, 174, 411, 590, 651, 670, 768, 776, 844, 859, 950, 965, 970, 975, 1067, 1093, 1296, 1765, 1806, 1894 e 1972), e as testemunhas Brachiaria ruziziensis cv ‘Kennedy’, Brachiaria brizantha cv ‘Marandu’ e a Brachiaria decumbens cv ‘Basilisk’, colhidas com 27 dias de rebrota. O delineamento experimental utilizado foi o de blocos casualizados, com 26 tratamentos (genótipos) e três repetições. A avaliação da divergência nutricional foi realizada utilizando-se a análise de componentes principais e agrupamento aglomerativo hierárquico. Com base nas seguintes variáveis discriminatórias: digestibilidade in vitro da matéria seca; fibra em detergente neutro; lignina; proteína bruta; taxa de degradação de carboidratos não fibrosos e; taxa de degradação de carboidratos fibrosos. A avaliação da divergência nutricional dos clones de B. ruziziensis baseou-se nos dois primeiros componentes principais (DIVMS e FDN), explicando 96.2% da variância total. As variáveis de menor contribuição para a discriminação dos clones foram as taxas de degradação dos carboidratos fibrosos e não fibrosos. Na análise de agrupamento aglomerativo hierárquico foram identificados cinco grupos distintos, em que o grupo V, formado pelos clones 46, 768 e 1067 destacou-se em relação aos demais por apresentar valores superiores de digestibilidade in vitro da matéria seca.

Palavras-chave:
componentes principais; digestibilidade; valor nutricional; variáveis discriminatórias

INTRODUCTION:

In Brazil, beef and dairy cattle production is based primarily on grass-feeding systems (around 90%), making pasture grasses the main source of animal feed. With growth in the livestock sector, the search for foods that combine high production and high-quality has been increasing. However, only a few varieties meet the requirements, demonstrating the importance of the introduction of genetically improved cultivars.

Although, the number of forage species available in Brazil is high, Brachiaria and Panicum occupy the largest area. Among the Brachiaria species cultivated in Brazil, Brachiaria ruziziensis is not widely used in the country despite showing promise for breeding programs with high nutritional quality, good adaptation in crop-livestock-forest integration system (CLFIS), suitable ground cover with direct planting, and as the only diploid sexual species, which allows variability between generations for selection of superior genotypes. However, this forage species also has some unfavorable characteristics, such as susceptibility to be attacked by spittlebug, with low productivity, and reduced adaptation to less fertile and acidic soils (DIAS et al., 2013DIAS, K. O. DAS G. et al. Plot size and border effect on breeding of Urochloa ruziziensis. Pesquisa Agropecuária Brasileira, v. 48, n. 11, p. 1426-1431, 2013. Available from: http://dx.doi.org/10.1590/S0100-204X2013001100002>. Accessed: June 21, 2016. doi: 10.1590/S0100-204X2013001100002.
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).

Multivariate analysis has been used to evaluate nutritional diversity in forage species (AZEVÊDO et al., 2003AZEVÊDO, J. A. G. et al. Evaluation of the Nutritional Divergence of the Sugarcane (Saccharum spp.) Varieties. Revista Brasileira de Zootecnia, v. 32, n. 6, p. 1431-1442, 2003. Available from: http://dx.doi.org/10.1590/S1516-35982003000600018>. Accessed: June 12, 2016. doi: 10.1590/S1516-35982003000600018.
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; FREITAS et al., 2006FREITAS, W. P. et al. Evaluation of the nutritional divergence of sugarcane (Saccharum spp.) genotypes. Revista Brasileira de Zootecnia , v. 35, n. 1, p. 229-236, 2006. Available from: http://dx.doi.org/10.1590/S1516-35982006000100029>. Accessed: June 12, 2016. doi: 10.1590/S1516-35982006000100029.
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), helping to identify genotypes with genetic differences that produce progeny with greater heterogeneity, thus increasing the likelihood of obtaining superior individuals in segregating generations (CRUZ et al., 2012CRUZ, C. D. et al. (2012) Biometric Models Applied to Genetic Improvement. 4th Edition, UFV, Vicosa.; SHIMOYA et al., 2002SHIMOYA, A. et al. Genetic divergence among accessions of a germplasm bank of elephant grass. Pesquisa Agropecuária Brasileira , Brasília, v. 37, n. 7, p. 971-980, 2002. Available from: http://dx.doi.org/10.1590/S0100-204X2002000700011>. Accessed: July 25, 2016. doi: 10.1590/S0100-204X2002000700011.
http://dx.doi.org/10.1590/S0100-204X2002...
).

Selecting for good performance and high nutritional value improves efficiency of a breeding program (CRUZ et al., 2012CRUZ, C. D. et al. (2012) Biometric Models Applied to Genetic Improvement. 4th Edition, UFV, Vicosa.). In this context, the objective was to evaluate the nutritional diversity of 23 Brachiaria ruziziensis clones in the breeding program at EMBRAPA.

MATERIALS AND METHODS:

The experiment was performed at the Experimental Complex Multiuser of Bioefficacy and Sustainability of Livestock and at the experimental farm of José Henrique Bruschi of EMBRAPA Dairy Cattle in Coronel Pacheco-MG, Brazil (23°35’16” S, 43°15’56” W, altitude of 426m). The climate corresponds to the Cwa type (mesothermal) in the Koppen classification and the soil of the experimental area is classified as Red-Yellow Alic Argisol (SANTOS et al., 2006SANTOS, H. G. dos et al. (2006) Brazilian system of soil classification. 2th Edition. Rio de Janeiro: Embrapa Solos.).

The experimental design used randomized blocks with 26 treatments (genotypes) and three replications. Treatments consisted of 23 clones of Brachiaria ruziziensis, from the forage breeding program of EMBRAPA, represented by IDs: 15, 16, 46, 174, 411, 590, 651, 670, 768, 776, 844, 859, 950, 965, 970, 975, 1067, 1093, 1296, 1765, 1806, 1894 and 1972. Brachiaria ruziziensis cv. ‘Kennedy’, Brachiaria brizantha cv. ‘Marandu’ and Brachiaria decumbens cv. ‘Basilisk’ were used as a control.

Plants in each plot were cut within 27 days of growth, at an average height of 10cm with the aid of motorized costal mower. After collection, samples were weighed fresh and drying ovens with forced air circulation at 65°C for 72 hours. They were ground in a Wiley mill with 1 mm sieve and stored in polyethylene bottles for later composition analyses.

The contents of dry matter (DM), crude protein (CP), neutral detergent fiber (NDF), acid detergent fiber (ADF), lignin, and in vitro dry matter digestibility (IVDMD), were determined by near infra-red spectroscopy (NIRS) in the ruminant nutrition laboratory at the Animal Science section of EMBRAPA Dairy Cattle, Juiz de Fora, MG, Brazil.

The in vitro rumen fermentation kinetics was performed by the semiautomatic gas production technique following the procedures described in MAURICIO et al. (1999MAURÍCIO, R. M. et al. A semi-automated in vitro gas production technique for ruminants feedstuff evaluation. Animal Feed Science and Technology, v. 79, n. 4, p. 321-330, 1999. Available from: https://doi.org/10.1016/S0377-8401(99)00033-4>. Accessed: Jan. 21, 2016. doi: 10.1016/S0377-8401(99)00033-4.
https://doi.org/10.1016/S0377-8401(99)00...
). For this evaluation, 50mL glass flasks were utilized and 0.32g of the substrate to be tested were incubated in filter bags F57 (Ankon®). Twenty-eight mL of buffered culture medium and rumen fluid, prepared the previous day (MENKE & SEINGASS, 1987MENKE, H. H.; STEINGASS, H. Estimation of the energetic feed value obtained from chemical analysis and in vitro gas production using rumen fluid. Animal Research and Development, 28, 7-55, 1988.) and kept pressurized under CO2, were added. Flasks were sealed with a silicone stopper to avoid contamination and fermentation and refrigerated at 4ºC. Five hours before inoculation with rumen fluid, the bottles were placed in a room at 39°C.

The rumen inoculate was collected from three fistulated Holstein x Gyr dry cows with 500±15kg average body weight. Diet comprised of pasture (Brachiaria decumbens) supplemented with 15kg/day of corn silage and 2.0kg of concentrate a day. Rumen fluid was collected in the morning before feeding through the ruminal cannula and then filtered through double layers of cheesecloth and maintained at 39°C. Inoculum of three cows was pooled.

Three milliliters of rumen fluid was added to the flasks containing samples and buffered culture medium. Finally, flasks were sealed with a silicone stopper and aluminum washers to avoid gases escaping. Triplicates of each sample were incubated and kept heated at 39ºC room. Flasks containing only inoculum and culture medium were used as a blank.

Pressure readings were taken using a pressure transducer (DPI 705 - GE) at 2, 4, 6, 8, 10, 12, 14, 17, 20, 24, 28, 34, 48, 72 and 96 hours after inoculation. The PSI values were converted to volume according to the equation: Volume = -0.0125x2+3.6015x - 0.1118; R²=0.9874, established from the laboratory conditions. Production volumes were adjusted to g of substrate (based on DM) incubated and the values obtained were corrected for blanks (flasks without substrate at each incubation time).

A mathematical description of rumen fermentation kinetics was estimated using in vitro gas production. The bi-compartmental model was used and fitted to the curve of cumulative gas production (SCHOFIELD et al., 1994SCHOFIELD, P. et al. Kinetics of fiber digestion from in vitro gas production. Journal Animal Science. v. 72, n. 11, p. 2980-2991, 1994. Available from: https://www.animalsciencepublications.org/publications/jas/articles/72/11/2980>. Accessed: July 25, 2016. doi: 10.2527 / 1994.72112980x.
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) as described below:

V (t) = VFNFC/(1+exp (2-4*kdNFC*(T-L)))+VFFC/ (1+exp (2-4*kdFC*(T-L)))

Where: V (t) = total gas accumulated at time t; VFNFC is equivalent to the maximum volume of gases from the NFC fraction (mL); VFFC is the maximum volume of the gases from the FC fraction (mL); kdNFC is the degradation rate (% h) of NFC; kdFC is the degradation rate (% h) of FC; and T and L are the incubation (hours) and lag (hours) times, respectively.

The data of bromatological composition were submitted to the univariate analysis through the Minitab 16 program and the averages compared by the Tukey test at 5% of probability. Principal components analyses and agglomerative hierarchical clustering (complete linkage) were conducted in Minitab 16 to evaluate the nutritional divergence between genotypes. Euclidean distance using standardized mean was used as a basic measure of similarity.

RESULTS AND DISCUSSION:

The dry matter (DM), in vitro dry matter digestibility (IVDMD), and crude protein (CP) variables had a significant effect among the evaluated clones (P<0.05; Table 1). The DM content ranged from 202.6 to 147.0g/kg DM, with the highest DM content observed for clone 859, with a mean of 202.6g/kg DM, whereas the clone presented lower IVDMD, with a mean of 577.5g/kg DM (P<0.05). The highest values of IVDMD were observed for clones 16, 46, 768, 970 and 1067, with a mean of 679.7 to 692.1g/kg DM (P<0.05). Clones showed high protein content (range 164.9 to 130.4g/kg DM) and clone 15 had the highest value of protein.

Table 1
Chemical compositions (g/kg DM) of the 23 clones and Brachiaria ruziziensis cv. ‘Kennedy’, Brachiaria brizantha cv. ‘Marandu’ and Brachiaria decumbens cv. ‘Basilisk’.

No difference (P>0.05) was observed in neutral detergent fiber (NDF), acid detergent fiber (ADF) and lignin (Lig). The mean value of Lig was 45.5g/kg DM. For the NDF and ADF, the variations were 643.1 to 580.4 and 358.9 to 288.5g/kg of DM, respectively. According to VAN SOEST (1994VAN SOEST, P.J. Nutritional ecology of the ruminant. Ithaca, NY (USA): Cornell University Press, 1994.), the NDF content influences the consumption of bulky foods and all clones presented values higher than 550g/kg, considered by this author as a limit to influence the consumption of forage.

LOPES et al. (2010LOPES, F. C. et al. Chemical composition and in situ ruminal degradability of four Brachiaria species. Arquivo Brasileiro de Medicina Veterinária e Zootecnia, v. 62, n. 4, p. 883-888, 2010. Available from: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0102-09352010000400018>. Accessed: June 12, 2016. doi: 10.1590/ S0102-09352010000400018.
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) evaluated the nutritional quality of four Brachiaria species (B. brizantha, B. humidicula, B. decumbens and B. ruziziensis) at 56 days of growth and reported mean values of DM, NDF and ADF higher than those observed in the present study, 20.55, 68.44 and 36.53%, respectively, while mean values of CP, IVDMD and Lig were lower (6.9, 61.6 and 3.3%, respectively). Higher values of NDF and ADF and lower values of IVDMD and CP were also observed by SOUZA SOBRINHO et al. (2011)SOUZA SOBRINHO, F. DE et al. Productivity and quality of Brachiaria fodder in the Northern Region of Fluminense. Applied Research & Agrotechnology, v. 2, n. 3, p. 7-20, 2009. Available from: http://200.201.10.18/index.php/repaa/article/view/1502>. Accessed: July 25, 2016.
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(NDF, ADF, IVDMD and CP of 78.0, 43.1, 55.2 and 6.3%, respectively) were evaluated for the forage quality of different species of Brachiaria, cut at 57 days of regrowth. Difference observed between the studies can be attributed to the stage of forage maturity, since digestibility and CP tend to decrease with the advancement of plant maturity and increase of the NDF and ADF fraction.

Table 2 shows the parameters of ruminal fermentation kinetics of B. ruziziensis clones and controls. Cumulative gas production rate for the fermentation of fibrous and non-fibrous carbohydrates (VFFC and VFNFC) ranged from 60.9 to 170.2mL/g and from 42.8 to 125.4mL/g, respectively. Volume of gas produced depends on the composition of the food and, the larger the amount of fiber, the greater the gas production (NOGUEIRA et al., 2006NOGUEIRA, U.T. et al. Comparison among substrates with different soluble carbohydrates concentration using the in vitro semi-automatic gas production technique. Arquivo Brasileiro de Medicina Veterinária e Zootecnia , v. 58, n. 4, p. 633-641, 2006. Available from: http://dx.doi.org/10.1590/S0102-09352006000400027>. Accessed: July 15, 2016. doi: 10.1590/S0102-09352006000400027.
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). This allowed that genotypes that presented superior VFFC are more digestible compared to the fibrous fraction. Structural carbohydrates have slower degradability and for this reason, the fibrous carbohydrate degradation rate (KdFC) is lower than the non-fibrous carbohydrate degradation rate (KdNFC), 0.019 and 0.052DM/h, respectively.

Table 2
Average of the adjusted parameters in relation to the in vitro fermentation kinetics of the fibrous carbohydrates (FC) and non-fibrous carbohydrates (NFC) in relation to the Brachiaria ruziziensis progenies and the Brachiaria ruziziensis cv. ‘Basilisk’.

The estimated colonization time (L) presented an average value of 6h. This parameter indicated the time involved between the beginning of the incubation and the start of microbial action on the sample. Thus, the greater amount of readily fermentable substances and the physical and chemical characteristics of the sample’s cell wall, which facilitated microbial colonization, represented lower time of colonization (MAGALHÃES et al., 2006MAGALHÃES, R. T. et al. Evaluation of four sorghum genotypes using the semi automated in vitro gas production. Revista Brasileira Milho e Sorgo, v. 5, n. 1, p.101-111, 2006. Available from: http://dx.doi.org/10.18512/1980-6477/rbms.v5n1.p101-111>. Accessed: June 21, 2016. doi: 10.18512/1980-6477/rbms.v5n1.p101-111.
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).

Assessing the kinetic parameters of ruminal degradation of the fibrous and non-fibrous carbohydrate fractions of Brachiaria brizantha cv. ‘Marandu’ at three ages of cuts (28, 35 and 54 days) by the in vitro technique of gas production, SÁ et al. (2011SÁ, J. F. DE et al. In vitro ruminal fermentation kinetics of ‘Marandu’ grass at different harvest ages. Acta Scientiarum Animal Sciences, v. 33, n. 3, 2011. Available from: http://dx.doi.org/10.4025/actascianimsci.v33i3.9462>. Accessed: July 19, 2016. doi: 10.4025/actascianimsci.v33i3.9462.
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), reported mean values for VFNFC and KdNFC at 28 days of age of 93.51mL/g of DM and 0.05h-1, respectively, values similar to those reported in the present study. However, the mean values observed for VFFC and KdFC (83.25mL/g DM and 0.01DM/h-1) were lower than those observed in the present study.

The evaluation of the nutritional divergence of Brachiaria genotypes (Table 3), was based on a principal component analysis (PC) where the cumulative variance of the first two principal components (PC1: 70.16% and PC2: 26.08%) explained 96.24% of variance between genotypes. Initially, we used all the variables of chemical and kinetic composition of fermentation, taken from minor models for discrimination of genotypes.

Table 3
Estimates of the eigenvalues of the cumulative variance and weighting of variables of the characters in the principal components obtained based on six variables in 26 genotypes of Brachiaria.

According to CRUZ et al. (2012CRUZ, C. D. et al. (2012) Biometric Models Applied to Genetic Improvement. 4th Edition, UFV, Vicosa.), the relative importance of the main components decreases from the first to the last; the last component is responsible for explaining a tiny fraction of the total variance available. Thus, it was reported that the variables of lesser interest were KdNFC and KdFC once had a higher weighting in the smallest eigenvalue component (Table 3).

From the eigenvectors associated with the main components, we obtained the scores of the 26 Brachiaria genotypes. Graphical dispersion of the scores of the two main components can be reported in figure 1, where the distance of these points is proportional to the degree of dissimilarity between populations. Genotype grouping was observed in four sets. The first with clones 46, 768, 965, 970 and 106, the second one with clones 15, 16 and 950, the third one with clones 670, 844 and 859 and finally the fourth set with clones 174, 411, 590, 651, 776, 975, 1093, 1296, 1765, 1806, 1894, 1972 and the Brizantha, Decumbens and Ruziziensis controls. Clones 15, 16, 670, 844, 859 and 950 showed the highest dispersion of scores in the first two main components and were considered the most dissimilar.

Figure 1
Dispersion diagram of Brachiaria clones obtained by principal component analysis.

For the hierarchical clustering analysis by full connection method, based on Euclidean distance average, we used six variables selected from the PC analysis (IVDMD, NDF, lignin, CP, KdNFC and KdFC) and obtained five distinct groups (Table 4). Group V, formed by clones 46, 768 and 1067, showed better results in relation to the others, with a higher average of IVDMD (686.3g/kg), which was the main discriminating factor. Group IV constituted by clones 15, 16 and 950 is distinguished by the low NDF, high CP contents and high degradation rate of the fibrous fraction.

Table 4
Groups of genotypes of Brachiaria and average variables in each group formed by the hierarchical agglomerative clustering method of Complete Linkage, based on standardized average Euclidean distance.

Group V clones have IVDMD values higher than Group I and II that include traditional cultivars already consolidated in the domestic market, indicating the potential of the nutritional value of the members of this group for the breeding program. Group I introduced many clones and also included B. decumbens and B. ruziziensis (Kennedy). Group II, consisting of clones 670, 844, 859, 1093 and B. brizantha, showed the lowest IVDMD (612.8g/kg) and higher lignin content (49.7g/kg). Clones of this group have similar features to B. brizantha, a species of great importance in Brazilian livestock rearing.

CONCLUSION:

B. ruziziensis clones showed nutritional divergence and clones 46, 768 and 1067 were distinguished clones of high nutritional value. Clones 15, 16 and 950 are distinguished by the lower values of NDF and high protein levels. The divergent nutritional characteristics can guide new crosses in the breeding program complementing the agronomic parameters for the generation of superior genotypes.

BIOETHICS AND BIOSSECURITY COMMITTEE APPROVAL

All the management procedures of the animals were conducted according to ethical principles of animal experimentation, established by the Brazilian College of Animal Experimentation and the current legislation was approved by the Ethics Committee for Animal Use of EMBRAPA Dairy Cattle (No. 03/2014).

ACKNOWLEDGEMENTS

The authors acknowledge the Embrapa Gado de Leite, Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq - Edital Repensa - Projeto PECUS-RumenGases) for the financial support and to Fundação de Amparo à Pesquisa do Estado da Bahia (FAPESB) for the granting scholarship.

REFERENCES:

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    CR-2016-0855.R1

Publication Dates

  • Publication in this collection
    2018

History

  • Received
    17 Sept 2016
  • Accepted
    17 Nov 2017
  • Reviewed
    12 Jan 2017
Universidade Federal de Santa Maria Universidade Federal de Santa Maria, Centro de Ciências Rurais , 97105-900 Santa Maria RS Brazil , Tel.: +55 55 3220-8698 , Fax: +55 55 3220-8695 - Santa Maria - RS - Brazil
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