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Crop and Pasture Science Crop and Pasture Science Society
Plant sciences, sustainable farming systems and food quality
RESEARCH ARTICLE

Growth of Megathyrsus maximus cv. Mombaça as affected by grazing strategies and environmental seasonality. I. Tillering dynamics and population stability

Sila Carneiro da Silva https://orcid.org/0000-0001-9104-3353 A E , Marina Castro Uebele A , Guilhermo Francklin de Souza Congio A B , Roberta Aparecida Carnevalli C and André Fischer Sbrissia D
+ Author Affiliations
- Author Affiliations

A Department of Animal Science, ‘Luiz de Queiroz’ College of Agriculture, University of São Paulo, Av. Pádua Dias, 11, Piracicaba, SP, 13418-900, Brazil.

B Colombian Corporation for Agricultural Research, Agrosavia, km 14 Via Mosquera - Bogota, Mosquera, Cundinamarca, 205047, Colombia.

C Brazilian Agricultural Research Corporation, Embrapa Dairy Cattle, Av. Eugênio do Nascimento, 610 - Aeroporto, Juiz de Fora, MG, 36038-330, Brazil.

D Department of Animal Production and Food Science, Santa Catarina State University, Av. Luiz de Camões, 2090, Lages, SC, 88520-000, Brazil.

E Corresponding author. Email: siladasilva@usp.br

Crop and Pasture Science 72(1) 55-65 https://doi.org/10.1071/CP20198
Submitted: 16 June 2020  Accepted: 1 December 2020   Published: 28 January 2021

Abstract

In rotationally grazed pastures, the canopy light environment can be modulated through both grazing frequency and severity, and the magnitude of sward responses may differ according to forage species and its ability to use available resources. We hypothesised that the tall, tufted, fast-growing, tussock-forming species Mombaça guineagrass (Megathyrsus maximus (Jacq.) B.K.Simon & S.W.L.Jacobs cv. Mombaça) can modulate its tillering dynamics and change its persistence pathway according to grazing strategy and the availability of growth factors. Treatments corresponded to all combinations of two levels of pre-grazing canopy light interception during regrowth (95% and maximum) and two post-grazing heights (30 and 50 cm), and were allocated to experimental units according to a randomised complete block design with four replications. Measurements were performed throughout contrasting climatic conditions during four seasons from January 2001 to February 2002. A quite stable tiller population density presented regardless of the range of grazing frequency and severity used in the study. However, tiller appearance and death were strongly influenced (P < 0.001) by season of the year, with highest rates recorded during the two summers and lowest during autumn–winter. There was no conclusive evidence that the persistence pathway of Mombaça guineagrass changes within the grazing management strategies studied.

Keywords: abiotic stress, ecophysiology, grazing management, canopy light interception, Mombaça guineagrass.


References

Bahmani I, Thom ER, Matthew C, Hooper RJ, Lemaire G (2003) Tiller dynamics of perennial ryegrass cultivars derived from different New Zealand ecotypes: effects of cultivar, season, nitrogen fertiliser, and irrigation. Australian Journal of Agricultural Research 54, 803–817.
Tiller dynamics of perennial ryegrass cultivars derived from different New Zealand ecotypes: effects of cultivar, season, nitrogen fertiliser, and irrigation.Crossref | GoogleScholarGoogle Scholar |

Barbosa RA, Nascimento D, Euclides VPB, Regazzi AJ, Fonseca DM (2002) Morphogenetic characteristics and forage accumulation of Tanzânia grass (Panicum maximum Jacq.) in two post-graze stubbles. Brazilian Journal of Animal Science 31, 583–593.

Carnevalli RA, da Silva SC, Bueno AAO, Uebele MC, Bueno FO, Hodgson J, Silva GN, Morais JPG (2006) Herbage production and grazing losses in Panicum maximum cv. Mombaça under four grazing management. Tropical Grasslands-Forrajes Tropicales 40, 165–176. http://tropicalgrasslands.info/public/journals/4/Historic/Tropical%20Grasslands%20Journal%20archive/PDFs/Vol_40_2006/Vol_40_03_2006_pp165_176.pdf

Carnevalli RA, Congio GFS, Sbrissia AF, da Silva SC (2021) Growth of Megathyrsus maximus cv. Mombaça as affected by grazing strategies and environmental seasonality. II. Dynamics of herbage accumulation. Crop & Pasture Science 72, in press.
Growth of Megathyrsus maximus cv. Mombaça as affected by grazing strategies and environmental seasonality. II. Dynamics of herbage accumulation.Crossref | GoogleScholarGoogle Scholar |

Carvalho CAB, da Silva SC, Sbrissia AF, Pinto LFM, Carnevalli RA, Fagundes JL, Pedreira CGS (2000) Tiller demography and dry matter accumulation rates in ‘Tifton 85’ swards under grazing. Scientia Agrícola 57, 591–600.
Tiller demography and dry matter accumulation rates in ‘Tifton 85’ swards under grazing.Crossref | GoogleScholarGoogle Scholar |

Congio GFS, Batalha CDA, Chiavegato MB, Berndt A, Oliveira PPA, Frighetto RTS, Maxwell TMR, Gregorini P, da Silva SC (2018) Strategic grazing management towards sustainable intensification at tropical pasture-based dairy systems. The Science of the Total Environment 636, 872–880.
Strategic grazing management towards sustainable intensification at tropical pasture-based dairy systems.Crossref | GoogleScholarGoogle Scholar | 29727853PubMed |

da Silva SC, Bueno AAO, Carnevalli RA, Uebele MC, Bueno FO, Hodgson J, Matthew C, Arnold JC, Morais JPG (2009) Sward structural characteristics and herbage accumulation of Panicum maximum cv. Mombaça subject to rotational stocking managements. Scientia Agrícola 66, 8–19.
Sward structural characteristics and herbage accumulation of Panicum maximum cv. Mombaça subject to rotational stocking managements.Crossref | GoogleScholarGoogle Scholar |

da Silva SC, Sbrissia AF, Pereira LET (2015) Ecophysiology of C4 forage grasses: understanding plant growth for optimizing their use and management. Agriculture 5, 598–625.
Ecophysiology of C4 forage grasses: understanding plant growth for optimizing their use and management.Crossref | GoogleScholarGoogle Scholar |

da Silva SC, Chiavegato MB, Pena KS, Silveira MCT, Barbero LM, Souza SJ, Rodrigues CS, Limão VA, Pereira LET (2017) Tillering dynamics of Mulato grass subjected to strategies of rotational grazing management. The Journal of Agricultural Science 155, 1082–1092.
Tillering dynamics of Mulato grass subjected to strategies of rotational grazing management.Crossref | GoogleScholarGoogle Scholar |

da Silva SC, Bueno AAO, Carnevalli RA, Silva GP, Chiavegato MB (2019) Nutritive value and morphological characteristics of Mombaça grass managed with different rotational grazing strategies. The Journal of Agricultural Science 157, 592–598.
Nutritive value and morphological characteristics of Mombaça grass managed with different rotational grazing strategies.Crossref | GoogleScholarGoogle Scholar |

Duchini PG, Guzatti GC, Echeverria JR, Américo LF, Sbrissia AF (2018) Experimental evidence that the perennial grass persistence pathway is linked to plant growth strategy. PLoS One 13, e0207360–15.
Experimental evidence that the perennial grass persistence pathway is linked to plant growth strategy.Crossref | GoogleScholarGoogle Scholar | 30475824PubMed |

Embrapa (2018) ‘Brazilian system of soil classification.’ (Embrapa: Brasilia) https://www.embrapa.br/en/busca-de-publicacoes/-/publicacao/1094001/brazilian-soil-classification-system

Gildersleeve RR, Ocumpaugh WR, Quesenberry KH, Moore JE (1987) Mob-grazing of morphologically different Aeschynomene species. Tropical Grasslands 21, 123–132.

Grime JP (1979) ‘Plant strategies and vegetation processes.’ (John Wiley and Sons: Chichester, UK)

Jolliffe IT (2002) ‘Principal component analysis.’ (Springer-Verlag: New York) http://cda.psych.uiuc.edu/statistical_learning_course/Jolliffe%20I.%20Principal%20Component%20Analysis%20(2ed.,%20Springer,%202002)(518s)_MVsa_.pdf

Littell RC, Pendergast J, Natarajan R (2000) Modelling covariance structure in the analysis of repeated measures data. Statistics in Medicine 19, 1793–1819.
Modelling covariance structure in the analysis of repeated measures data.Crossref | GoogleScholarGoogle Scholar | 10861779PubMed |

Matthew C, Lemaire G, Sackville-Hamilton NR, Hernández-Garay A (1995) A modified self-thinning equation to describe size/density relationships for defoliated swards. Annals of Botany 76, 579–587.
A modified self-thinning equation to describe size/density relationships for defoliated swards.Crossref | GoogleScholarGoogle Scholar |

Matthew C, Assuero SG, Black CK, Sackville-Hamilton NR (2000) Tiller dynamics of grazed swards. In ‘Grassland ecophysiology and grazing ecology’. (Eds G Lemaire, J Hodgson, A Moraes, PCF Carvalho, C Nabinger) pp. 127–150. (CABI: Wallingford, UK)

Matthew C, Van Loo EN, Thom ER, Dawson LA, Care DA (2001) Understanding shoot and root development. Proceedings of the International Grassland Congress 19, 19–27.

Matthew C, Agnusdei MG, Assuero SG, Sbrissia AF, Scheneiter O, da Silva SC (2013) State of knowledge in tiller dynamics. Proceedings of the International Grassland Congress 22, 1041–1044.

McSteen P (2009) Hormonal regulation of branching in grasses. Plant Physiology 149, 46–55.
Hormonal regulation of branching in grasses.Crossref | GoogleScholarGoogle Scholar | 19126694PubMed |

Pereira LET, Paiva AJ, Geremia EV, da Silva SC (2015) Grazing management and tussock distribution in elephant grass. Grass and Forage Science 70, 406–417.
Grazing management and tussock distribution in elephant grass.Crossref | GoogleScholarGoogle Scholar |

Pereira LET, Paiva AJ, Geremia EV, da Silva SC (2018) Contribution of basal and aerial tillers to sward growth in intermittently stocked elephant grass. Grassland Science 64, 108–117.
Contribution of basal and aerial tillers to sward growth in intermittently stocked elephant grass.Crossref | GoogleScholarGoogle Scholar |

Rolim GS, Sentelhas PC, Barbieri V (1998) Spreadsheets in EXCELTM for calculating water balance: normal, sequential, culture and real and potential productivity. Revista Brasileira de Agrometeorologia 6, 133–137.

Santos PM, Balsalobre MAA, Corsi M (2004) Morphogenetic characteristics and net herbage accumulation rate of Mombaça grass under three grazing intervals. Brazilian Journal of Animal Science 33, 843–851.
Morphogenetic characteristics and net herbage accumulation rate of Mombaça grass under three grazing intervals.Crossref | GoogleScholarGoogle Scholar |

Sbrissia AF, da Silva SC, Matthew C, Carvalho CAB, Carnevalli RA, Pinto LFM, Fagundes JL, Pedreira CGS (2003) Tiller size/density compensation in grazed Tifton 85 bermudagrass swards. Pesquisa Agropecuária Brasileira 38, 1459–1468.
Tiller size/density compensation in grazed Tifton 85 bermudagrass swards.Crossref | GoogleScholarGoogle Scholar |

Sbrissia AF, da Silva SC, Sarmento DOL, Molan LK, Andrade FME, Gonçalves AC, Lupinacci AV (2010) Tillering dynamics in palisadegrass swards continuously stocked by cattle. Plant Ecology 206, 349–359.
Tillering dynamics in palisadegrass swards continuously stocked by cattle.Crossref | GoogleScholarGoogle Scholar |

Sbrissia AF, Duchini PG, Zanini GD, Santos GT, Padilha DA, Schmitt D (2018) Defoliation strategies in pastures submitted to intermittent stocking method: underlying mechanisms buffering forage accumulation over a range of grazing heights. Crop Science 58, 945–954.
Defoliation strategies in pastures submitted to intermittent stocking method: underlying mechanisms buffering forage accumulation over a range of grazing heights.Crossref | GoogleScholarGoogle Scholar |

Scheneiter O, Améndola C (2012) Tiller demography in tall fescue (Festuca arundinacea) swards as influenced by nitrogen fertilization, sowing method and grazing management. Grass and Forage Science 67, 426–436.
Tiller demography in tall fescue (Festuca arundinacea) swards as influenced by nitrogen fertilization, sowing method and grazing management.Crossref | GoogleScholarGoogle Scholar |

Tilman D (1990) Constraints and tradeoffs: toward a predictive theory of competition and succession. Oikos 58, 3–15.
Constraints and tradeoffs: toward a predictive theory of competition and succession.Crossref | GoogleScholarGoogle Scholar |

Wolfinger R (1993) Covariance structure selection in general mixed models. Communications in Statistics. Simulation and Computation 22, 1079–1106.
Covariance structure selection in general mixed models.Crossref | GoogleScholarGoogle Scholar |