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Nitrogen nutrition index and morphogenesis in Alexandergrass of the Central Depression of Rio Grande do Sul

Índice de nutrição nitrogenada e morfogênese em papuã na Depressão Central do Rio Grande do Sul

ABSTRACT:

This study assessed the nitrogen nutrition index, morphogenic characteristics and tiller structure of Alexandergrass (Urochloaplantaginea (LINK) Hitch) pasture submitted to different nitrogen (N) levels (zero, 150 or 300 kg ha-1 of N). The experimental design was entirely randomized with repeated measures arrangement. The experimental animals were Angus heifers under rotational stocking grazing method. The number of animals was variable to keep 30±5 cm post-grazing sward height. Nitrogen nutrition index increased linearly according N levels (Ŷ = 59.8 + 0.1216N; P < 0.0001; r²=0.53). The leaf appearance rate adjusted to a positive linear regression model according the thermal sum (TS) with zero of N (Ŷ0N = 0.0077 + 0.0000087TS; P = 0.0308; r² = 0.72) and 150 kg ha-1 of N (Ŷ150N = 0.0020 + 0.000021 TS; P = 0.0022; r² = 0.92). The use of 300 kg ha-1 of N did not alter the leaf appearance rate (0.0124 leaf degree-days-1). The use of up to 300 kg ha-1 of N increases the Alexandergrass nitrogen content. The leaf appearance rate in Alexandergrass is modified using N while the morphogenic characteristics leaf expansion, stem expansion, phyllochron, leaf lifespan, leaf elongation duration and tiller structure are not altered by N utilization.

Key words:
Leaf appearance; leaf expansion; phyllochron; nitrogen fertilization; Urochloaplantaginea

RESUMO:

Este trabalho teve como objetivo avaliar o índice de nutrição nitrogenada, as características morfogênicas e a estrutura dos perfilhos de papuã (Urochloa plantaginea (LINK) Hitch) submetidos a diferentes níveis de nitrogênio (N) (zero, 150 ou 300 kg ha-1 de N). O delineamento experimental foi inteiramente casualizado com medidas repetidas no tempo. Os animais experimentais foram novilhas Angus em regime de pastejo rotacionado. O número de animais foi variável para manter 30 ± 5 cm de altura do pasto pós-pastejo. O índice de nutrição com nitrogênio aumentou linearmente de acordo com os níveis de N (Ŷ = 59,8 + 0,1216N; P < 0,0001; r² = 0,53). A taxa de aparecimento de folhas ajustou-se ao modelo de regressão linear positiva de acordo com a soma térmica (TS) com zero de N (Ŷ0N = 0,0077 + 0,0000087TS; P = 0,0308; r² = 0,72) e 150 kg ha-1 de N (Ŷ150N = 0,0020 +0,000021 TS; P = 0,0022; r² = 0,92). O uso de 300 kg ha-1 de N não alterou a taxa de aparecimento de folhas (0,0124 folha grau-dia-1). O uso de até 300 kg ha-1 de N aumenta o teor de nitrogênio do papuã. A taxa de aparecimento de folhas em papuã é modificada usando N, enquanto que as características morfogênicas expansão foliar, expansão de colmo, filocrono, duração de vida das folhas, duração da elongação foliar e a estrutura dos perfilhos não são alteradas pela utilização de N.

Palavras-chave:
Aparecimento foliar; expansão foliar; filocrono; fertilização nitrogenada; Urochloa plantaginea

INTRODUCTION:

The livestock activity in Brazil is based on the use of pastures as the main food resource, with the predominance of tropical forage species, especially the genus Urochloa (JANK et al., 2011JANK, L. et al. Breeding tropical forages. Crop Breeding and Applied Biotechnology, v.11, p.27-32, 2011. Available from: <Available from: https://https://www.scielo.br/j/cbab/a/gjcszgsQ7KZTDZqPRcGVmYL/ >. Accessed: Sep. 20, 2022.doi: 10.1590/S1984-70332011000500005.
https://https://www.scielo.br/j/cbab/a/g...
). In the southern region, in the summer period, some areas used for livestock farming have a good coverage with Alexandergrass (Urochloaplantaginea (Link) Hitch). The species presents itself spontaneously and, due to its tillering potential, forage accumulation (RESTLE et al., 2002RESTLE, J. et al. Produção animal em pastagem com gramíneas de estação quente. Revista Brasileira de Zootecnia, v.31, p.1491-1500, 2002. Available from: <Available from: https://https://www.scielo.br/j/rbz/a/t5ZWCctSgbLqdwdB8jMFv4K/?lang=pt >. Accessed: Sep. 20, 2022. doi: 10.1590/S1516-35982002000600021.
https://https://www.scielo.br/j/rbz/a/t5...
; SARTOR et al., 2011SARTOR, L. R. et al. Nitrogen fertilizer use efficiency, recovery and leaching of an alexandergrass pasture. Revista Brasileira de Ciência do Solo, v.35, p.899-906, 2011. Available from: <Available from: https://https://www.scielo.br/j/rbcs/a/ZBwBb6vmGPLBh6N7D599GFv/abstract/?lang=en >. Accessed: Sep. 20, 2022. doi: 10.1590/S0100-06832011000300024.
https://https://www.scielo.br/j/rbcs/a/Z...
; COSTA et al., 2011COSTA, V. G. da et al. Comportamento de pastejo e ingestão de forragem por novilhas de corte em pastagens de milheto e papuã. Revista Brasileira de Zootecnia, v.40, p.251-259, 2011. Available from: <Available from: https://www.scielo.br/j/rbz/a/rQXX64jG7KQTnz5kc8sQjDQ/?lang=pt >. Accessed: Nov. 10, 2018. doi: 10.1590/S1516-35982011000200004.
https://www.scielo.br/j/rbz/a/rQXX64jG7K...
) and good adaptation to the soil and climate conditions of the southern region (BERGOLI et al., 2019BERGOLI, T. L. et al. Tillering dynamics of Alexandergrass pasture under nitrogen fertilization. Arquivo Brasileiro de Medicina Veterinária e Zootecnia, v.71, p.2049-2056, 2019. Available from: <Available from: https:// https://www.scielo.br/j/abmvz/a/YfrvHgq4FnhCTt5qk7YHxkb/abstract/?lang=en >. Accessed: Nov. 20, 2018.doi: 10.1590/1678-4162-11153.
https:// https://www.scielo.br/j/abmvz/a...
) has been used as forage in pastoral systems (SOARES et al., 2020SOARES, A. B. et al. Mixed production of Alexandergrass and sorghum under nitrogen fertilization and grazing intensities. Australian Journal of Crop Science, v.14, p.85-91, 2020. Available from: <Available from: https://https://www.cropj.com/soares_14_1_2020_85_91.pdf >. Accessed: Sep. 20, 2022. doi: 10.21475/ajcs.20.14.01.p1891.
https://https://www.cropj.com/soares_14_...
). Alexandergrass allows the adequate conversion into animal product, enabling the mating of beef heifers from 15 months of age (COSTA et al., 2011COSTA, V. G. da et al. Comportamento de pastejo e ingestão de forragem por novilhas de corte em pastagens de milheto e papuã. Revista Brasileira de Zootecnia, v.40, p.251-259, 2011. Available from: <Available from: https://www.scielo.br/j/rbz/a/rQXX64jG7KQTnz5kc8sQjDQ/?lang=pt >. Accessed: Nov. 10, 2018. doi: 10.1590/S1516-35982011000200004.
https://www.scielo.br/j/rbz/a/rQXX64jG7K...
; ELOY et al., 2014ELOY, L. R. et al. Biomass flows and defoliation patterns of Alexandergrass pasture grazed by beef heifers, receiving or not protein salt. Acta Scientiarum Animal Sciences,v.36, p.123-128, 2014. Available from: <Available from: https://www.scielo.br/j/asas/a/5pbv8Fk87gSxWH9mzBhNxkL/?format=pdf >. Accessed: May, 13, 2018.doi: 10.4025/actascianimsci.v36i2.21815.
https://www.scielo.br/j/asas/a/5pbv8Fk87...
, SALVADOR et al., 2014SALVADOR, P. R. et al. Fluxos de tecidos foliares em papuã sob pastejo de bezerras de corte em diferentes frequências de suplementação. Revista Brasileira de Saúde e Produção Animal, v.15, p.835-845, 2014. Available from: <Available from: https://www.scielo.br/j/rbspa/a/QDjcnCCKZmSnFgwsKzCLhTp/?lang=pt >. Accessed: Jul. 13, 2017.
https://www.scielo.br/j/rbspa/a/QDjcnCCK...
), average daily gain above 0.6 kg animal-1 day-1 in beef heifers (COSTA et al., 2011COSTA, V. G. da et al. Comportamento de pastejo e ingestão de forragem por novilhas de corte em pastagens de milheto e papuã. Revista Brasileira de Zootecnia, v.40, p.251-259, 2011. Available from: <Available from: https://www.scielo.br/j/rbz/a/rQXX64jG7KQTnz5kc8sQjDQ/?lang=pt >. Accessed: Nov. 10, 2018. doi: 10.1590/S1516-35982011000200004.
https://www.scielo.br/j/rbz/a/rQXX64jG7K...
; SALVADOR et al., 2014SALVADOR, P. R. et al. Fluxos de tecidos foliares em papuã sob pastejo de bezerras de corte em diferentes frequências de suplementação. Revista Brasileira de Saúde e Produção Animal, v.15, p.835-845, 2014. Available from: <Available from: https://www.scielo.br/j/rbspa/a/QDjcnCCKZmSnFgwsKzCLhTp/?lang=pt >. Accessed: Jul. 13, 2017.
https://www.scielo.br/j/rbspa/a/QDjcnCCK...
; NEGRINI et al., 2018NEGRINI, M. et al. Forage intake and performance of heifers fed rice bran on Alexandergrass pasture. Arquivo Brasileiro de Medicina Veterinária e Zootecnia, v.70, p.1577-1585, 2018. Available from: <Available from: https://https://www.scielo.br/j/abmvz/a/k4KpVt9nSHXZcKMhg6trbSh/abstract/?lang=en >. Accessed: Sep. 20, 2022. doi: 10.1590/1678-4162-9701.
https://https://www.scielo.br/j/abmvz/a/...
) and stocking rate of 1.600 to 2.400 kg ha-1 of body weight (RESTLE et al., 2002RESTLE, J. et al. Produção animal em pastagem com gramíneas de estação quente. Revista Brasileira de Zootecnia, v.31, p.1491-1500, 2002. Available from: <Available from: https://https://www.scielo.br/j/rbz/a/t5ZWCctSgbLqdwdB8jMFv4K/?lang=pt >. Accessed: Sep. 20, 2022. doi: 10.1590/S1516-35982002000600021.
https://https://www.scielo.br/j/rbz/a/t5...
; NEGRINI et al., 2018NEGRINI, M. et al. Forage intake and performance of heifers fed rice bran on Alexandergrass pasture. Arquivo Brasileiro de Medicina Veterinária e Zootecnia, v.70, p.1577-1585, 2018. Available from: <Available from: https://https://www.scielo.br/j/abmvz/a/k4KpVt9nSHXZcKMhg6trbSh/abstract/?lang=en >. Accessed: Sep. 20, 2022. doi: 10.1590/1678-4162-9701.
https://https://www.scielo.br/j/abmvz/a/...
).

In this context, the adoption of management strategies maximized the production of pastoral systems is extremely important. The response of forage grasses to nitrogen (N) fertilization is difficult to predict due to soil capacity to supply nitrogen and the variable demand of plants for this nutrient. The greater availability of N can increase its concentration in plant tissues, modify morphogenesis and; consequently, the tillers structure. This structural modification can result in a greater amount of sward leaf blades with an increased photosynthetic rate, in addition to facilitating the process of bite formation by the herbivore. The use of N in pastures, without elevating production costs, must be accompanied by practices that reduce the environmental impact and preserve the quality of the food produced (LEMAIRE et al., 2008LEMAIRE, G. et al. Diagnosis tool for plant and crop N status in vegetative stage: Theory and practices for N management. European Journal of Agronomy,v.28, p.614-624, 2008. Available from: <Available from: https://ur.booksc.eu/book/13423466/014a43 > Accessed: Oct. 20, 2021. doi: 10.1016/j.eja.2008.01.005.
https://ur.booksc.eu/book/13423466/014a4...
).

The effect of nitrogen fertilization on morphogenic characteristics is variable depending on the grass species. The low level of nitrogen nutrition of plants can reduce forage production due to lesser leaf expansion and; consequently, determine a negative impact on animal productivity by area. Accompanying the increase in growth rate and forage production, a greater pasture stocking rate result and a greater efficiency of forage use happens due to the shorter time interval between two consecutive defoliations in the same leaf blade (GASTAL & LEMAIRE, 2015GASTAL, F.; LEMAIRE G. Defoliation, shoot plasticity, sward structure and herbage utilization in pasture: review of the underlying ecophysiological processes. Agriculture, v.5, p.1146-1171, 2015. Available from: <Available from: https://www.mdpi.com/2077-0472/5/4/1146 > Accessed: Dec. 06, 2017. doi: 10.3390/agriculture5041146.
https://www.mdpi.com/2077-0472/5/4/1146...
).

Studies with nitrogen fertilization in Alexandergrass (Urochloaplantaginea (Link) Hitch) have been carried out in the southern region of Brazil (SARTOR et al., 2014SARTOR, L. R. et al. Assessment of the nutritional status of grassland: nitrogen nutrition index. Semina: Ciências Agrarias, v.35, p.449-456, 2014. Available from: <file:///C:/Users/julianamachado/Downloads/12333-73015-1-PB.pdf>. Accessed: Jul. 07, 2017. doi: 10.5433/1679-0359.2014v35n1p449.
https://doi.org/10.5433/1679-0359.2014v3...
; SALVADOR et al., 2016SALVADOR, P. R. et al. Sward structure and nutritive value of Alexandergrass fertilized with nitrogen. Anais da Academia Brasileira de Ciências, v.88, p.385-395, 2016. Available from: <Available from: https://www.scielo.br/j/aabc/a/n5qXkyTmhChhGkCKjcY6tGn/?lang=en >. Accessed: Nov. 07, 2017. doi: 10.1590/0001-3765201620150180.
https://www.scielo.br/j/aabc/a/n5qXkyTmh...
; HUNDERTMARCK et al., 2017HUNDERTMARCK, A. P. et al. Biomass flow and defoliation pattern in Alexandergrass fertilized with nitrogen. Bioscience Journal, v.33, p.143-152, 2017. Available from: <Available from: http://200.19.146.79/index.php/biosciencejournal/article/view/34021 >. Accessed: Oct. 25, 2018.doi: 10.14393/BJ-v33n1a2017-34021.
http://200.19.146.79/index.php/bioscienc...
). However, the literature shows no data about the hypothesis that the morphogenic response of this grass may be altered by the use of N. The understanding of these relationships, in the context of individual tillers, can provide more detailed information and support decisions on the management of N fertilization. These decisions should avoid recommendations for utilization of N levels higher than the response capacity of the plants. The study of the N effect on the plant based on individual tillers measurements belongs to the so-called short-term knowledge whereas in the long term the response must be measured at the canopy level through the biomass flows (LEMAIRE & CHAPMAN, 1996LEMAIRE, G.; CHAPMAN, D. F. Tissue flows in grazed plants communities. In: HODGSON, J., ILLIUS, A. W. The Ecology of Management of Grazing Systems, CAB International, Wallingford, 1996, p.3-36.).

Within this context, the objective was to evaluate the effect of nitrogen fertilization on the morphogenic characteristics, tiller structure and nitrogen nutrition index of Alexandergrass under rotational stocking grazing method.

MATERIALS AND METHODS:

Experimental sites

The experiment was approved by the Ethics Committee for Animal Experimentation of Universidade Federal de Santa Maria (UFSM), Protocol 138/2014. The experiment was performed from January to March 2014 out at UFSM-RS at 29º43’S and 53º42’W, Santa Maria - RS, Brazil. The climate of the region is subtropical humid, according to the Köppen classification and the soil is classified as a Paleudalf (SANTOS et al., 2018SANTOS, H. G. et al. Sistema Brasileiro de Classificação de solos.Embrapa, Brasília, 356 p. 2018.). Average soil chemical characteristics for the 0-20 cm layer were: pH-H2O: 5.8; % clay: 21 m V-1; P: 14.4 mgL-1; K: 128.3 mg L-1; 2.5 % of organic matter; Al3+: 0.7 cmol L-1; Ca+2: 5.3 cmol L-1; Mg+2: 2.5 cmol L-1; CTC pH7: 9.2. Meteorological data of the trial period were obtained from the UFSM Meteorological Station (Figure 1).

Figure 1
Mean temperature, rainfall and insolation during the experimental period and historical means, Santa Maria/RS, Brazil. Source: UFSMMeteorological Station.

Field experimentation

The experimental area, divided into six experimental units (paddocks), comprised 4.8 ha. Each paddock was subdivided into four plots of 0.2 ha. Alexandergrass (Urochloaplantaginea (Link) Hitch) pasture comes from by an existing seed bank in the area. There is no commercial cultivar available for commercialization. Fertilization consisted of 90 and 60 kg ha-1 of P2O5 and K2O, respectively. Fertilization was carried out to produce 10.000 kg of dry matter. A mowing canopy height homogenization was performed on January 8th, 2014.

The grazing method was rotational stocking. The criterion to determine the rest period was 210 degree-days (DD) (ELOY et al., 2014ELOY, L. R. et al. Biomass flows and defoliation patterns of Alexandergrass pasture grazed by beef heifers, receiving or not protein salt. Acta Scientiarum Animal Sciences,v.36, p.123-128, 2014. Available from: <Available from: https://www.scielo.br/j/asas/a/5pbv8Fk87gSxWH9mzBhNxkL/?format=pdf >. Accessed: May, 13, 2018.doi: 10.4025/actascianimsci.v36i2.21815.
https://www.scielo.br/j/asas/a/5pbv8Fk87...
). To calculate the rest period, in days, the historical mean temperatures were utilized. The grazing period plus the interval until the beginning of the next occupation constituted one grazing cycle. The grazing cycles lasted 16 days (4 days graze, 12 days rest). Thermal sum (TS) was calculated by the equation: TS= Σ(Tmd) -10, where: Tmd is the daily average of the cycle; the value of 10 grade is the minimum temperature required for growth of warm season forage species. The grazing cycles and the accumulated thermal sum at the end of each cycle were: 1- Jan./21 to Feb./ 05 (297 DD); 2- Feb./06 to Feb./21 (563 DD); 3- Feb./22 to March/09 (772 DD); 4- March/10 to March/25 (1104 DD).

The treatments were Zero, 150 or 300 kg ha-1 of nitrogen (N) in urea form (46% N). The total amount of N was split into three levels of similar amount, the first applied on January 8th, and the others on February 10th and February 26th.

Evaluation of parameters

Sixteen Angus heifers with initial age and body weight (BW) of 15 months and 276.0 ± 17 kg, respectively, were the test animals utilized. Canopy height was measured through readings at 30 points at pre- and post-grazing. For the maintenance of post-grazing canopy height at 30 ± 5 cm, 22 regulator animals were used. The stocking rate(kg BW ha-1) was calculated by the sum of test-heifer average weight with the average weight of each regulator animal, multiplied by the number of days which they remained in each replication, divided by the number of days of the experimental cycle. The number of animals ha-1 in each paddock was obtained by dividing the stocking rate and the average weight of the test heifers.

Every grazing cycle, before the entrance of heifers in the paddock, two forage samples were taken (0.25 m²) at the ground level. Forage from these samples was manually separated in leaf blades and stems to determine their mass (kg ha-1 DM).

N concentration (%) in leaf blades and stems was determined by laboratory analysis. The nitrogen nutrition index (INN) was calculated according to the equation (LEMAIRE et al. 1989LEMAIRE, G. et al. Analysis of the effect of N nutrition on dry matter yield of a sward by reference to potential yield and optimum N content.In: International Grassland Congress 16. Nice: Ed. Association Francaise pour la Production Fourragere, 1989, p.179-180.): INN = (100 *N%) / (3.6 * DM-0.36). Where: DM (t ha-1) = sum of leaf and stem biomass; N% = N concentration in leaf and stems biomass calculated using a weighted average.

Morphogenetic and structural characteristics were evaluated in 20 selected tillers per experimental unit according the ‘marked tiller’ technic (CARRÈRE et al., 1997CARRÈRE, P. et al. Tissue turnover within grass-clover mixed swards grazed by sheep. Methodology for calculating growth senescence and intake fluxes. Journal Applied Ecology, v.34, p.333-348, 1997. Available from: <Available from: https://www.jstor.org/stable/2404880 > Accessed: Mar. 13, 2018. doi: 10.2307/2404880.
https://www.jstor.org/stable/2404880...
). These tillers were measured daily during grazing period and twice a week during the interval between grazing. Every new grazing cycle, a new group of tillers was tagged for evaluation. On these tillers, leaves were measured (cm) and classified as: expanded leaves (visible ligule), expanding leaves (no visible ligule), senescent leaves (only green part, from the ligule to the point where the senescent process had advanced was measured). Leaves with more than 50% of the leaf blade senescent were considered dead leaves. The stem length was measured from the ground level to the ligule of the last expanded leaf.

Foliar leaf elongation, stem elongation and senescence rates, in cm degree day-1, were calculated by the ratio between the leaf elongation, stem elongation or mean tiller senescence between two consecutive evaluations and the accumulated thermal sum in the same period.

Phyllochron (degree-days) was calculated in the period between grazing as the thermal sum between the appearance of two consecutive leaves. Leaf appearance rate (leaf degree-days-1) was calculated from the slope of the linear regression between the number of leaves per tiller and the thermal accumulation of the period. The leaf lifespan was calculated by the product of phyllocron and the number of green leaves per tiller. The duration of leaf elongation was obtained through the products of phyllochron and the average number of leaves in expansion per tiller.

Upon defoliation, the leaf blades were marked with a marker pen to identify new grazing. The intensity of defoliation (ID; % removed from the leaf blade) was estimated as: ID = [(initial length- final length)/initial length]. The defoliation interval (DI; days to return to the same leaf) was obtained by the equation: DI=1/ (nº of grazed leaves /nº of tiller´s leaves x number of days). To calculate the percentage of the area grazed daily by heifers, one hectare was considered as 100% of the grazed area. The area grazed daily by each animal was obtained considering the paddock area as 100% and dividing this value by the defoliation interval (days).

Statistical analyses

A completely randomized design following a repeated measure arrangement (thermal accumulation) was used, three N levels and two area replications for treatments. After testing normality of data distribution, the variables were analyzed using the Mixed procedure of the statistical package SAS®. We performed a structure selection test, following the Bayesian Information Criterion (BIC) to determine the model that best fit the data. The interaction treatment x thermal sum was evaluated at 5% of probability. In regression analyses, the model was selected based on the significant level of linear and quadratic coefficients, using the Student´s t-test at the 5% significance level. The variable responses were modeled according N levels and thermal sum observed in the period.

The general mathematical model refering to the analysis of variance was represented by: Yijk= μ + Ti + ek:I + Pj + (T*Pij) + kijk, where: μ = mean of all observations; Ti= is the fixed effects of treatments; ek:i= is the random effect of the paddock nested in the treatments (error a); Pj= is the fixed effect of termal sum; T*Pij= interaction treatments*termal sum; kijk= residual experimental error (error b).

RESULTS:

The post-grazing canopy height was 31.1 ± 2 cm, similar (P = 0.4696) in all paddocks used to evaluate the N levels. The meteorological data from the experimental period (January to March 2014) showed average monthly values of temperature (25.2 °C), insolation (220.2 hours) and rainfall (156.0 mm) (Figure 1).

There was no interaction between nitrogen levels (N) × thermal sum (TS) for the number of animals ha-1 and this variable increased linearly as a function of N levels (Ŷ = 7.3 + 0.0084N; P = 0.0145; CV = 20%; r² = 0.27). The number of animals ha-1 was adjusted to the quadratic regression model as a function of the TS (Ŷ = 2.5 + 0.0188ST - 0.000012TS²; P = 0.0379; CV = 21%; r² = 0.25).

There was interaction between N levels × thermal sum for pre-grazing canopy height (P = 0.0009). Pre-grazing canopy height was adjusted to the quadratic regression model as a function of thermal sum when zero (Ŷ = 27.1 + 0.0357TS - 0.000022TS²; P = 0.0494; r² = 0.67) and 150 kg ha-1 of N (Ŷ = 46.7 + 0.0211TS - 0.000017TS²; P = 0.0173; r² = 0.78). In the paddocks where 300 kg ha-1 of N were used, the pre-grazing canopy height was on average 41.7 ± 3.7 cm (P > 0.05).

There was no interaction between N levels × thermal sum for leaf expansion rate (0.0456 ± 0.1 cm degree-days-1) and stems (0.0408 ± 0.1 cm degree-days-1) and these variables did not were influenced by N levels (Table 1). The stem expansion rate was not altered as a function of the thermal sum (Table 1). The leaf expansion rate adjusted to the negative linear regression model as a function of the thermal sum (Ŷ = 0.0590 - 0.000028TS; P = 0.0008; CV = 34%; r² = 0.22). The rate of leaf expansion was positively correlated with the nitrogen nutrition index of Alexandergrass (r = 0.43; P = 0.0344) (Figure 2).

Table 1
Morphogenetic characteristics of Alexandergrass according N levels and thermal sum (TS).

Figure 2
Values of leaf expansion, leaf length and nitrogen nutrition index of Alexandergrass.

There was interaction of N levels × thermal sum for leaf senescence and leaf appearance rate (Table 1). The leaf senescence rate was not changed as a function of the thermal sum when Alexandergrass was fertilized with 0 (0.0474 ± 0.01 cm degree-days-1) or 150 kg ha-1 of N (0.0492 ± 0.01 cm degree-days-1). The use of 300 kg ha-1 of N linearly reduced the leaf senescence rate as a function of the thermal sum (Ŷ300N = 0.0468 - 0.000021TS; P = 0.0139; CV = 23%; r² = 0.38).

The leaf appearance rate was adjusted to the positive linear regression model as a function of the thermal sum with zero of N (Ŷ0N = 0.0077 + 0.0000087TS; P = 0.0308; CV = 10%; r² = 0.72) and 150 kg ha-1 of N (Ŷ150N = 0.0020 + 0.000021TS; P = 0.0022; CV = 10%; r² = 0.92). With the use of 300 kg ha-1 of N, the leaf appearance rate (0.0124 leaves degree-days-1) did not vary according to the thermal sum.

There was no interaction of N levels × thermal sum for phyllochron (90.6 ± 18 degree-days;) and leaf lifespan (362.2 ± 84 degree-days) (Table 1) and for leaf elongation duration (153.9 ± 27 degree-days) and these variables were not altered by the N levels. The phyllochron adjusted to the negative linear regression model as a function of the thermal sum (Ŷ = 132.2 - 0.0764TS; P < 0.0001; CV = 11%; r² = 0.69). The leaf lifespan (Ŷ = 517.0 - 0.028TS; P = 0.0025; CV = 18%; r² = 0.44) and the duration of leaf elongation (Ŷ = 208.9 - 0.100ST; P = 0.0005; CV = 12%; r² = 0.54) decreased linearly as a function of the thermal sum.

There was no interaction between N levels × thermal sum for the intensity and defoliation interval (P > 0.05). Defoliation intensity (66.5 ± 10%) adjusted to the quadratic regression model as a function of the thermal sum (Ŷ = 0.00718 + 0.2383ST - 0.00019ST²; P = 0.0088; CV = 10%; r² = 0.63). The defoliation interval (1.69 ± 0.2 days) was not altered by the levels of N and the thermal sum (P > 0.05).

There was no interaction between N levels × thermal sum for the length of the expanded leaf blades (17.5 ± 3 cm; Table 2) and stem length (25.2 ± 5 cm; Table 2) and these variables were not altered by the N levels (P > 0.05). The length of the expanded leaf blades adjusted to the quadratic regression model as a function of the thermal sum (Ŷ = 11.5 + 0.034TS - 0.000031TS²; P = 0.0014; CV = 17%; r² = 0.64). There was a positive correlation between leaf blade length and nitrogen nutrition index (r = 0.49; P = 0.0156) (Figure 2). The stem length was adjusted to the quadratic regression model as a function of the thermal sum (Ŷ = 8.7 + 0.0526TS - 0.000038ST2; P = 0.0098; CV = 20%; r² = 0.28).

Table 2
Nitrogen (N) nutrition index and structural characteristics of Alexandergrass according N levels and thermal sum (TS).

DISCUSSION:

Meteorological data showed that, during the experimental period, the average temperature was 1.6 degrees higher to the historical average (23.6 °C). The rainfall exceeded the expected precipitation by 9.6% (13.7 mm). The mean insulation was 13.7% (26.6 hours) higher than the historical average insulation (Figure 1). According to these meteorological data, climatic conditions were adequate for the development of plants.

According to increased availability of external nitrogen (N), ranging from 0 to 300 kg ha-1, a linear increase in the nitrogen nutrition index (INN) of Alexandergrass was observed. In the system with zero N, the N made available to plants from the soil mineral N added to N from organic matter mineralization was not enough to reach the same INN as the use of 150 or 300 kg ha-1 of N. According to the INN regression model as a function of N levels, it would be necessary to use 166.1 kg ha-1 of N so that the INN value would be raised to the minimum value of 80. When Nitrogen nutrition index values are between 80-100, they are considered satisfactory and there is no limitation of this nutrient for plant growth (LEMAIRE et al., 1989LEMAIRE, G. et al. Analysis of the effect of N nutrition on dry matter yield of a sward by reference to potential yield and optimum N content.In: International Grassland Congress 16. Nice: Ed. Association Francaise pour la Production Fourragere, 1989, p.179-180.). These same authors consider INN values below 60 to be very low, between 60 and 80 inadequate, and above 100 indicate an excess of N. The average INN observed when using zero and 150 kg ha-1 of N was 64 and 69, respectively, characterizing as values very low, and only the use of 300 kg ha-1 of N made INN be considered satisfactory.

The N levels resulted in different pre-grazing canopy heights. In the paddocks without nitrogen fertilization, a highest pre-grazing canopy height (41.5 cm) was observed when the thermal sum was 811.3 DD (degree day). When 150 kg ha-1 of N was used, the pre-grazing canopy height showed the lowest value (40.1 cm) at 620.5 DD. In the paddocks fertilized with 300 kg ha-1 of N, the pre-grazing canopy height (41.4 cm) was not influenced by the thermal sum.

The highest INN value (90.7) was observed when the thermal sum (TS) was 625 degree-days. Considering the average temperature observed, this thermal accumulation occurred at 41 days of pasture use, nine days after the last nitrogen fertilization (1/3 of the total amount). The INN value reduction after the thermal accumulation of 625 degrees-day, can be explained by the N remobilization from leaf blades located in the more shaded strata of the canopy and a great presence of structural plant tissues (LEMAIRE et al., 2008LEMAIRE, G. et al. Diagnosis tool for plant and crop N status in vegetative stage: Theory and practices for N management. European Journal of Agronomy,v.28, p.614-624, 2008. Available from: <Available from: https://ur.booksc.eu/book/13423466/014a43 > Accessed: Oct. 20, 2021. doi: 10.1016/j.eja.2008.01.005.
https://ur.booksc.eu/book/13423466/014a4...
). This hypothesis can be confirmed by regressions that show a reduction in the leaf expansion rate and maintenance of stem expansion rate as a function of TS.

The absence of N levels effect on leaf and stem expansion rates is not the usually reported answer when studies involve these two factors. These responses showed that, generally, as the nitrogen fertilization increase, a higher expansion rate of these components is observed (HUNDERTMARCK et al., 2017HUNDERTMARCK, A. P. et al. Biomass flow and defoliation pattern in Alexandergrass fertilized with nitrogen. Bioscience Journal, v.33, p.143-152, 2017. Available from: <Available from: http://200.19.146.79/index.php/biosciencejournal/article/view/34021 >. Accessed: Oct. 25, 2018.doi: 10.14393/BJ-v33n1a2017-34021.
http://200.19.146.79/index.php/bioscienc...
; TIECHER et al., 2017TIECHER, D. D. et al. Morphogenesis and structure of Tifton 85 cultivated in subtropical climate and fertilized with nitrogen. Acta Scientiarum Animal Sciences, v.38, p.389-393, 2017. Available from: <Available from: https://www.scielo.br/j/asas/a/nFYXgjdbMVhbMdp3gZYGCgy/?format=pdf > Accessed: Jul. 03, 2021. doi: 10.4025/actascianimsci.v38i4.32147
https://www.scielo.br/j/asas/a/nFYXgjdbM...
). Observations showed; however, a similar rate of leaves and stems expansion in the absence or presence of N fertilization. One possible cause of the absence of an N effect on leaves and stems expansion rates is the amount of light radiation intercepted being a limitation for the greater photosynthetic rate of the plants. In conditions where N quantity is not limiting, competition for light becomes more important to determine the rate of expansion of the plant’s organs (IRVING, 2015IRVING, L. J. Carbon assimilation, biomass partitioning and productivity in grasses. Agriculture, v.5, p.1116-1134, 2015. Available from: <Available from: https://www.mdpi.com/2077-0472/5/4/1116 >. Accessed: Nov. 10, 2018.doi: 10.3390/agriculture5041116.
https://www.mdpi.com/2077-0472/5/4/1116...
).

The N effect on the grasses morphogenetic traits is determined according to their growth habit, which can result in a stolon higher rate of expansion (stoloniferous species) or leaf blades expansion (tufted species) (CRUZ & BOVAL, 2000CRUZ, P.; BOVAL, M. Effect of nitrogen on some morphogenetic traits of temperate and tropical perennial forage grasses. In: LEMAIRE, G. et al. (eds). Grassland Ecophysiology and Grazing Ecology, CAB International, Wallingford. p.151-167, 2000.). Alexandergrass has a decumbent growth habit during the beginning of its development, similar to stoloniferous species. After the establishment period, with the increase of the soil cover, its growth habit becomes tufted and this induces different N responses in these two phases.

The leaf expansion rate reduction of 0.000028 cm degree-days-1 per accumulated degree-day can be explained by Alexandergrass being a tropical climate species, which response to the temperature lowering and reduced daily light is the reduced leaf expansion (HUNDERTMARCK et al., 2017HUNDERTMARCK, A. P. et al. Biomass flow and defoliation pattern in Alexandergrass fertilized with nitrogen. Bioscience Journal, v.33, p.143-152, 2017. Available from: <Available from: http://200.19.146.79/index.php/biosciencejournal/article/view/34021 >. Accessed: Oct. 25, 2018.doi: 10.14393/BJ-v33n1a2017-34021.
http://200.19.146.79/index.php/bioscienc...
). Also, the approximation of the reproductive stage of Alexandergrass may have provided a greater nutrients allocation to the reproductive organs, in detriment of the leaf blades production.

The similarity observed in the stem expansion rate, probably can be better explained by the pre-defined interval between grazing (210 DD) than by the use of N. This grazing interval did not promote an increase in the expansion rate of this component, not allowing different canopy structures due to the use of N.

This interval induced a stems expansion of 6.1 cm, and may not have triggered a photomorphogenic response, that would increase the elongation of the stems (CHORY, 1997CHORY, J. Light modulation of vegetative development. Plant Cell,v.9, p.1225-1234, 1997. Available from: <Available from: https://academic.oup.com/plcell/article/9/7/1225/5986421 >. Accessed: Nov. 20, 2018. doi: 10.1105/tpc.9.7.1225.
https://academic.oup.com/plcell/article/...
). Probably, a reduction in the interval between grazing could accentuate the N effect on the pre-grazing canopy height, altering the Alexandergrass canopy structure.

There is an advantage due to stem length similarity in all N levels, as it prevents the greater stems accumulation in the forage mass. In addition, stems act as a physical barrier to bite formation (BENVENUTT et al., 2006BENVENUTT, M. A. et al. The effect of density and physical properties of grass steam on the foraging behavior and instantaneous intake rate by cattle grazing an artificial reproductive tropical sward. Grass Forage Science, v.61, p.272-281, 2006. Available from: <Available from: https://onlinelibrary-wiley-com.translate.goog/doi/abs/10.1111/j.13652494.2006.00531.x?_x_tr_sl=en&_x_tr_tl=pt&_x_tr_hl=pt-BR&_x_tr_pto=nui,sc >. Accessed: Mar. 10, 2018.doi: 10.1111/j.1365-2494.2006.00531.x.
https://onlinelibrary-wiley-com.translat...
) and can increase the participation of dead and senescent material in the forage mass (SALVADOR et al., 2016SALVADOR, P. R. et al. Sward structure and nutritive value of Alexandergrass fertilized with nitrogen. Anais da Academia Brasileira de Ciências, v.88, p.385-395, 2016. Available from: <Available from: https://www.scielo.br/j/aabc/a/n5qXkyTmhChhGkCKjcY6tGn/?lang=en >. Accessed: Nov. 07, 2017. doi: 10.1590/0001-3765201620150180.
https://www.scielo.br/j/aabc/a/n5qXkyTmh...
). According to the quadratic regression model, the stems showed greater length (26.9 cm) when the thermal sum was 692 degrees-day, when tillers were reaching the reproductive stage through the externalization of its reproductive organs.

The negative effect of N utilization on the leaf senescence rate, regardless of the level used, indicates alteration of the N remobilization strategy when the availability of this nutrient is modified. The greater availability of N may have altered the balance between N remobilization and N absorption by the roots, reducing leaf senescence. With 300 kg ha-1 of N, the remobilization of N from the older leaves to the expanding leaves may have been reduced (LEMAIRE & CHAPMAN, 1996LEMAIRE, G.; CHAPMAN, D. F. Tissue flows in grazed plants communities. In: HODGSON, J., ILLIUS, A. W. The Ecology of Management of Grazing Systems, CAB International, Wallingford, 1996, p.3-36.), and making these tillers became more independent of N from the older tissues.

The similarity observed in the leaf senescence rate in tillers fertilized with zero or 150 kg ha-1 of N may have occurred due to the fact that even at the lowest levels of nitrogen fertilization there was enough N available in the soil so that it was not necessary to increase the remobilization of N to maintain the same leaf expansion rates. ADAMI et al. (2010ADAMI, P. F. et al. Dynamic of a papuã pasture under two grazing intensities and two nitrogen levels. Revista Brasileira de Zootecnia,v.39, p.2569-2577, 2010. Available from: <Available from: https://www.scielo.br/j/rbz/a/ckSCxytVh6qFXRHsbHmBGrb/abstract/?lang=en >. Accessed: Oct. 10, 2018.doi: 10.1590/S1516-35982010001200003.
https://www.scielo.br/j/rbz/a/ckSCxytVh6...
) observed that N remobilization is greater in grasses that receive low levels of nitrogen fertilization.

The interaction between the N levels × thermal sum for the rate of leaf appearance is not commonly reported in the literature. The leaf appearance rate is temperature dependent and little affected by the variation in N availability (CRUZ & BOVAL, 2000CRUZ, P.; BOVAL, M. Effect of nitrogen on some morphogenetic traits of temperate and tropical perennial forage grasses. In: LEMAIRE, G. et al. (eds). Grassland Ecophysiology and Grazing Ecology, CAB International, Wallingford. p.151-167, 2000.). In response to use of 150 kg ha-1 of N, the leaf appearance rate increased in greater magnitude, with 0.00002 leaf degree-days-1 per accumulated degree-day. The linear increase observed in the leaf appearance rate as a function of the thermal sum at the levels of zero (0.0000087 leaf degree-days-1 degree-day-1) and 150 kg ha-1 of N (0.000021 leaf degree-days-1 degree -days-1) may have occurred due to the acceleration in the emission of new leaves with the elevation of the apical meristem.

The increase in the speed of leaf blade emission with the use of 150 kg ha-1 of N may signal that, at this level of fertilization, the tillers will anticipate its entry into the reproductive stage. From the management point of view, this is not advantageous, as stopping the emission of new leaf blades reduces the period of pasture utilization. However, when 300 kg ha-1 of N was used, the leaf appearance rate remained constant throughout the evaluation period, in accordance with the available bibliography (LEMAIRE & CHAPMAN, 1996LEMAIRE, G.; CHAPMAN, D. F. Tissue flows in grazed plants communities. In: HODGSON, J., ILLIUS, A. W. The Ecology of Management of Grazing Systems, CAB International, Wallingford, 1996, p.3-36.).

The magnitude of the interaction between levels of N × thermal sum for leaf appearance rate was not sufficient to alter the phyllochron value of Alexandergrass. This similarity may have occurred due to the stocking rate management, which kept similar, in all paddocks, the post-grazing canopy height and stem length. The phyllochron value depends on the leaf sheath length of the previous leaf, which is directly influenced by the grazing intensity (CRUZ & BOVAL, 2000CRUZ, P.; BOVAL, M. Effect of nitrogen on some morphogenetic traits of temperate and tropical perennial forage grasses. In: LEMAIRE, G. et al. (eds). Grassland Ecophysiology and Grazing Ecology, CAB International, Wallingford. p.151-167, 2000.). The similarity observed in the length of the leaf elongation can be explained by the existent link between this characteristic and the phyllochron value (LEMAIRE & CHAPMAN, 1996LEMAIRE, G.; CHAPMAN, D. F. Tissue flows in grazed plants communities. In: HODGSON, J., ILLIUS, A. W. The Ecology of Management of Grazing Systems, CAB International, Wallingford, 1996, p.3-36.).

The absence of N effect on the leaf lifespan may have occurred because this variable is genetically determined and is mainly influenced by temperature (POMPEU et al., 2009POMPEU, R. C. F. F. et al. Fluxo de biomassa em capim-tanzânia sob lotação rotativa com quatro níveis de suplementação concentrada. Revista Brasileira de Zootecnia, v.38, p.809-817, 2009. Available from: <Available from: https://www.scielo.br/j/rbz/a/RnY5hGP7WYFyC6V56PnN3pt/abstract/?lang=pt >. Accessed: Jan. 25, 2018. doi: 10.1590/S1516-35982009000500005.
https://www.scielo.br/j/rbz/a/RnY5hGP7WY...
). The leaf lifespan is related to the efficiency of leaf blades utilization, which is defined by GASTAL & LEMAIRE (2015GASTAL, F.; LEMAIRE G. Defoliation, shoot plasticity, sward structure and herbage utilization in pasture: review of the underlying ecophysiological processes. Agriculture, v.5, p.1146-1171, 2015. Available from: <Available from: https://www.mdpi.com/2077-0472/5/4/1146 > Accessed: Dec. 06, 2017. doi: 10.3390/agriculture5041146.
https://www.mdpi.com/2077-0472/5/4/1146...
) as being the proportion of the leaf tissue produced by the plant that is harvested before starting the process of leaf senescence.

In order to maintain the same post-grazing canopy height in all paddocks, it was necessary to increase 0.0084 animals ha-1 for each additional kg of N. The highest number of animals ha-1 (9.9) was observed when the thermal sum was 783.3 degree-days. Considering that the average daily thermal accumulation was 15.2 degrees-day, the leaf blades remained alive for 23.8 days, they were grazed 2.4 times in each grazing cycle and 3.5 times while they remained alive. Dividing the duration of the grazing cycle (days) by the number of leaf blade defoliations during the cycle, it is observed that the interval between defoliation was 6.7 days, this value being similar to the values presented in the literature for Alexandergrass managed in continuous stocking method (SALVADOR et al., 2014SALVADOR, P. R. et al. Fluxos de tecidos foliares em papuã sob pastejo de bezerras de corte em diferentes frequências de suplementação. Revista Brasileira de Saúde e Produção Animal, v.15, p.835-845, 2014. Available from: <Available from: https://www.scielo.br/j/rbspa/a/QDjcnCCKZmSnFgwsKzCLhTp/?lang=pt >. Accessed: Jul. 13, 2017.
https://www.scielo.br/j/rbspa/a/QDjcnCCK...
; ELOY et al., 2014ELOY, L. R. et al. Biomass flows and defoliation patterns of Alexandergrass pasture grazed by beef heifers, receiving or not protein salt. Acta Scientiarum Animal Sciences,v.36, p.123-128, 2014. Available from: <Available from: https://www.scielo.br/j/asas/a/5pbv8Fk87gSxWH9mzBhNxkL/?format=pdf >. Accessed: May, 13, 2018.doi: 10.4025/actascianimsci.v36i2.21815.
https://www.scielo.br/j/asas/a/5pbv8Fk87...
; HUNDERTMARCK et al., 2017HUNDERTMARCK, A. P. et al. Biomass flow and defoliation pattern in Alexandergrass fertilized with nitrogen. Bioscience Journal, v.33, p.143-152, 2017. Available from: <Available from: http://200.19.146.79/index.php/biosciencejournal/article/view/34021 >. Accessed: Oct. 25, 2018.doi: 10.14393/BJ-v33n1a2017-34021.
http://200.19.146.79/index.php/bioscienc...
). According to the defoliation interval, the animals used 60% of the available area for daily grazing, equivalent to 152.8 m² per heifer.

The observed value of defoliation intensity was higher than the 40-60% reported by GASTAL & LEMAIRE (2015GASTAL, F.; LEMAIRE G. Defoliation, shoot plasticity, sward structure and herbage utilization in pasture: review of the underlying ecophysiological processes. Agriculture, v.5, p.1146-1171, 2015. Available from: <Available from: https://www.mdpi.com/2077-0472/5/4/1146 > Accessed: Dec. 06, 2017. doi: 10.3390/agriculture5041146.
https://www.mdpi.com/2077-0472/5/4/1146...
), who consider these values constant and independent of the grazing method. However, this constancy was not observed during the forage cycle because, according to the quadratic regression model, the highest defoliation intensity (74.7%) occurred when the thermal sum was 627.1 degree-days. If leaf blades were defoliated 3.5 times and in each defoliation was removed 66.5% of the length, the harvest efficiency of leaf blades was 99.3%. This efficiency value is 26.3% higher than the value reported by MAZZANTI & LEMAIRE (1994MAZZANTI, A.; LEMAIRE, G. Effect of nitrogen fertilization on herbage production of tall fescue swards continuously grazed by sheep. 2. Consumption and efficiency of herbage utilization. Grass Forage Science, v.49, p.352-359, 1994. Available from: <Available from: https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1365-2494.1994.tb02010.x >. Accessed: Oct. 19, 2021. doi: 10.1111/j.1365-2494.1994.tb02010.x.
https://onlinelibrary.wiley.com/doi/abs/...
) evaluating Festucaarundinacea. This lower harvest efficiency value can be explained by the lower defoliation interval (20.5 days) observed by the authors.

The lack of effect of N levels on the rate of expansion and duration of leaf expansion explains the similarity in the length of Alexandergrass leaves. For the same duration of leaf expansion, provided by the same stem length, greater leaf length would be expected if the leaf expansion rate were increased by the N levels. According to the quadratic regression model, the greatest leaf length (20.7 cm) was observed at 36 days of pasture use when the thermal sum was 548.3 degrees-days, close to the thermal sum value (692 degrees-day) when the stems had greater length. As a result, there was an increase in the leaf sheath length, which increases the leaf blade length (LEMAIRE & CHAPMAN, 1996LEMAIRE, G.; CHAPMAN, D. F. Tissue flows in grazed plants communities. In: HODGSON, J., ILLIUS, A. W. The Ecology of Management of Grazing Systems, CAB International, Wallingford, 1996, p.3-36.).

The similarity observed in the expansion rate and length of the leaf blades is associated with the similar leaf blades mass of Alexandergrass in the different levels of N used. This evidence can confirm the hypothesis that the amount of light radiation intercepted by leaf blades may have limited the effect of N on expansion, length, and leaf blade mass.

The correlations (Figure 2) observed between the rate of leaf expansion and the length of the leaves with the nitrogen nutrition index are related to the proportionality between the uptake of N by the plant and its expansion in the leaf area index, both processes, for C4 species, occurring coordinated in a linear function (LEMAIRE et al., 2007LEMAIRE, G. et al. Is crop N demand more closely related to dry matter accumulation or leaf area expansion during vegetative growth? Field Crops Research, v.100, p.91-106, 2007. Available from: <Available from: https://www.sciencedirect.com/science/article/abs/pii/S0378429006001390 >. Accessed: Oct. 20, 2021. doi: 10.1016/j.fcr.2006.05.009.
https://www.sciencedirect.com/science/ar...
).

The information obtained in the present study confirmed the potential response of Alexandergrass to nitrogen fertilization when the nutrient is applied during the vegetative stage. Under the conditions in which the study was conducted, only the fertilization level of 300 kg of N ha-1 allowed the Alexandergrass to have an adequate supply of N. Nitrogen fertilization levels did not promote changes in tiller structures. Understanding the relationships measured at the tiller level supports decisions about nitrogen fertilization management and can contribute to the understanding of plant-animal interactions in tropical grazing systems.

CONCLUSION:

The use of up to 300 kg ha-1 of N increases the nitrogen nutrition index and reduces the rate of leaf senescence of Alexandergrass. The leaf appearance rate in Alexandergrass is modified using N while the morphogenic characteristics leaf expansion, stem expansion, phyllochron, leaf lifespan, leaf elongation duration and tiller structure are not altered by N utilization.

ACKNOWLEDGEMENTS

We thank the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Brazil, financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Brasil - Finance code 001.

REFERENCES

  • CR-2021-0783.R2

Edited by

Editor: Leandro Souza da Silva (0000-0002-1636-6643)

Publication Dates

  • Publication in this collection
    21 Apr 2023
  • Date of issue
    2023

History

  • Received
    01 Nov 2021
  • Accepted
    25 Jan 2023
  • Reviewed
    28 Mar 2023
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