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Forage potential of native ecotypes of Paspalum notatum and P. guenoarum

Overview of attention for article published in Anais da Academia Brasileira de Ciências, September 2017
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Title
Forage potential of native ecotypes of Paspalum notatum and P. guenoarum
Published in
Anais da Academia Brasileira de Ciências, September 2017
DOI 10.1590/0001-3765201720160662
Pubmed ID
Authors

Marcelo G Steiner, Miguel Dall'agnol, Carlos Nabinger, Simone M Scheffer-Basso, Roberto L Weiler, Carine Simioni, Maria Teresa Schifino-Wittmann, Éder A M DA Motta

Abstract

The Paspalum genus includes several species that are important for livestock in Rio Grande do Sul, such as P. notatum and P. guenoarum, typical of native pastures of the Pampa biome. The aim of this study was to investigate forage production and chemical composition of four ecotypes of these species in relation to the cv. 'Pensacola' (P. notatum). Ecotypes of P. guenoarum (Azulão and Baio) and P. notatum (André da Rocha and Bagual) and the cv. 'Pensacola' were evaluated for two years, during which four cuts/year were made. The work was carried out under field conditions at the Agronomic Experimental Station of the Federal University of Rio Grande do Sul (30°05'S; 51°39'W), in a completely randomized design. P. guenoarum stood out for higher productivity and greater tolerance to cold; the Azulão ecotype showed more autumn production in relation to the other ecotypes. Crude protein content ranged from 14 (Baio) to 15% ('Pensacola'); for neutral detergent fiber, the variation was 68 (Azulão) to 71% ('Pensacola') and for acid detergent fiber there was a variation of 38 ('Pensacola') to 43% (Baio). The data demonstrates the potential of native genotypes for use as cattle feeding in southern Brazil.

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The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 45%
Student > Doctoral Student 3 14%
Student > Bachelor 2 9%
Student > Ph. D. Student 2 9%
Professor 1 5%
Other 1 5%
Unknown 3 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 73%
Veterinary Science and Veterinary Medicine 2 9%
Environmental Science 1 5%
Unknown 3 14%