Grasses within the Cynodon genus are widely used perennial forages, and ‘Tifton 85’ (Cynodon spp.) is one of the most popular commercial cultivars. Jiggs and Vaquero are new C. dactylon (L.) Pers. grasses, but there is little information comparing their performance with Tifton 85 under tropical conditions. The objectives were to describe and explain variation in seasonal herbage accumulation (HA) and nutritive value of irrigated Tifton 85, Jiggs, and Vaquero bermudagrasses in response to harvest frequency (14, 28, and 42 d). The trial was performed for 2 yr in Piracicaba, Brazil, on a Kandiudalfic Eutrudox soil. In the warm season, total HA of Jiggs was similar to Tifton 85, and both were more productive than Vaquero. Under the 42‐d frequency, Jiggs had greater annual HA than the other grasses (28.5 vs. 23.7 and 20.1 Mg ha−1, for Tifton 85 and Vaquero, respectively), but when harvested every 28 d, Tifton 85 and Jiggs HA were similar (18.5 Mg ha−1). For the 42‐d harvest interval in the cool season, Jiggs had the greatest HA (10.2 Mg ha−1). Less frequent harvests in both seasons resulted in greater HA. Tifton 85 had a greater proportion of leaves than Jiggs and greater in vitro digestible organic matter (IVDOM) than the other grasses in the warm season. Considering these responses, harvest frequency of Jiggs and Tifton 85 should be ∼28 d in the warm season, while that of Vaquero should be ∼42 d. No single harvest management will be appropriate for all Cynodon grasses.

Resumo -O objetivo deste trabalho foi identificar, quantificar e modelar atributos condicionantes do acúmulo de forragens no Brasil Central e desenvolver modelos estimadores do acúmulo de forragem potencial, com base em parâmetros climáticos. Uma estrutura de banco de dados foi modelada e implementada para a inserção de dados de crescimento de forrageiras. Foram inseridos dados primários de experimentos com cultivares do gênero Cynodon, Panicum e Urochloa. O banco de dados permitiu gerar listagens ordenadas das taxas médias de acúmulo de forragem (TMA), temperatura média, máxima, mínima (T mín ), radiação global incidente e dias do ano, para cada período de crescimento. Realizaram-se regressões lineares simples e múltiplas, com variáveis climáticas como regressoras e TMA como variável resposta. O modelo com T mín como variável independente se destacou com os melhores valores para o coeficiente de determinação, critério de Akaike e critério bayesiano, e foi adotado como padrão. Os modelos foram agrupados pelo teste de coincidência em seis grupos. Os modelos possuem capacidade estimadora diferente para cada cultivar. A calibração dos modelos com dados locais pode acomodar efeitos desconsiderados na sua formulação e aumenta a acurácia de estimativas da produção potencial.Termos para indexação: Brachiaria, Cynodon, Panicum, Urochloa, estacionalidade de produção, sistema de produção. Development of forage accumulation prediction models in tropical pasturesAbstract -The objective of this work was to identify, quantify and model conditioning attributes of forage accumulation in Central Brazil, and to develop estimating models of the forage accumulation potential, based on climatic parameters. A database structure was modeled and implemented for forage growth data insertion. Primary data experiments with Cynodon, Panicum and Urochloa cultivars were inserted. The databank allowed the generation of sorted lists of forage mean accumulation rates (TMA), average temperature, maximum and minimum (T min ) temperatures, global incident radiation and day of the year, for each growth period. Simple and multiple linear regressions were made, with climatic variables as regressors and TMA as response variable. The model with T min as independent variable was adopted as standard because it stood out for the best values of determination coefficient, Akaike criterion and Bayesian criterion. The models were grouped by the coincidence test in six groups. The models have different estimating capacities for each cultivar. Model calibration using local data can accommodate effects disregarded in its formulation, and enhances potential yield estimative accuracy.Index terms: Brachiaria, Cynodon, Panicum, Urochloa, seasonal production, production system. IntroduçãoAs pastagens são o principal suprimento alimentar da pecuária brasileira e compõem a maior parte da dieta dos animais de nosso rebanho (Mistura et al., 2006), por apresentarem baixo custo, grande aptidão produtiva e fácil cultivo. Assim, boa parte das áreas agricultáveis são cultivad...

Growth analysis of forage crops allows integration of photosynthesis, respiration, and allocation of photosynthate from estimates of physiological and morphological indices. These measurements help explain differences in growth potential between plants across seasons and in response to harvest management. The objective was to describe and explain patterns of growth of ‘Tifton 85’ (Cynodon spp.) and Jiggs [C. dactylon (L.) Pers.] bermudagrasses to three harvest frequencies (14, 28, and 42 d) during 2 yr. Grasses showed different growth patterns during the cool and warm seasons. Crop growth rate (CGR) was similar during the warm season (69 kg ha–1 d–1), but Jiggs had greater relative growth rate (RGR) and lesser stubble mass and residual leaf mass. Jiggs had greater net assimilation rate (NAR) than Tifton 85 during the warm (14.2 vs. 11.4 kg dry matter [DM] m–2 d–1, respectively) and cool seasons (6.9 vs. 2.5 kg DM m–2 d–1, respectively). Tifton 85 partitioned more biomass to leaf than Jiggs (leaf weight ratio [LWR] of 0.35 vs. 0.28 kg kg–1). The 14‐d harvest frequency reduced CGR, RGR, and NAR of both grasses. Small changes in RGR occurred beyond 28 d of regrowth, but leaf area ratio (LAR) and LWR decreased, suggesting that grasses should be harvested ∼ every 28 d during the warm season. Longer regrowth periods during the cool season increased both CGR and RGR. Harvest management affects differently the growth and morphological components of Jiggs and Tifton 85 in this environment.

Pastures are the main feed resource in the Brazilian livestock industry and they are key in making forage-livestock systems feasible. Climatic variables such as temperature and daylength are important to forage growth as they affect herbage accumulation as well as the seasonal distribution of both yield and nutritive value, two major characteristics that impact the systems as a whole. Thus, the development of manegerial tools that allow for the rationalization of the production process and for the prediction of forage responses to environmental variables may be valuable for planning and managing whole systems. The present study was carried out at the Departamento de

RESUMO O conhecimento da temperatura abaixo da qual o crescimento das plantas cessa, a temperatura base (Tb), é de grande importância na avaliação do potencial produtivo de um recurso vegetal em uma determinada área e na correta