ranged with the type of growth, maturity group, location, and sowing date.

-The objective of this work was to estimate the yield potential and the water-limited yield of soybean (Glycine max) in the state of Rio Grande do Sul, Brazil, in two future climate scenarios, SRES A1B and RCP4.5, using the SoySim and Cropgro-Soybean simulation models. In both models, three maturity groups (4.8, 5.5, and 6.0) and six sowing dates (09/01, 10/01, 11/01, 12/01, 01/01, and 02/01) were considered in the SRES A1B-CMIP3 and RCP4.5-CMIP5 scenarios. The analyzed variable was grain yield at 13% moisture ). Soybean yield potential in Rio Grande do Sul should increase up to the end of the 21 st century, according to both scenarios. Water-limited yield of soybean also increases up to the end of the 21 st century, by the SRES A1B-CMIP3 scenario; however, it will decrease in future periods, by the RCP4.5-CMIP5 scenario because of limited soil water.Index terms: Glycine max, climate change, Cropgro-Soybean model, RCP4.5, SoySim model, SRES A1B. Produtividade de soja em cenários climáticos futuros para o Rio Grande do SulResumo -O objetivo deste trabalho foi estimar a produtividade potencial e a produtividade com limitação de água em soja (Glycine max), no Rio Grande do Sul, em dois cenários climáticos futuros, SRES A1B e RCP4.5, por meio dos modelos agrícolas de simulação SoySim e Cropgro-Soybean. Consideraram-se, em ambos os modelos, três grupos de maturação (4.8, 5.5 e 6.0) e seis datas de semeadura (01/09, 01/10, 01/11, 01/12, 01/01 e 01/02), nos cenários SRES A1B-CMIP3 e RCP4.5-CMIP5. A variável analisada foi a produtividade de grãos de soja a 13% de umidade (Mg ha -1 ). A produtividade potencial de soja no Rio Grande do Sul deve aumentar até o final do século XXI, de acordo com ambos os cenários. A produtividade de soja com limite de água também aumenta até o final do século XXI, pelo cenário SRES A1B-CMIP3; porém, ela decrescerá nos períodos futuros, pelo cenário RCP4.5-CMIP5, em razão do estresse hídrico no solo.Termos para indexação: Glycine max, mudanças climáticas, modelo Cropgro-Soybean, RCP4.5, modelo SoySim, SRES A1B.

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The increase in the use of satellite-derived precipitation products generated by different methods and algorithms emphasizes the need for a deeper analysis of their quality and accuracy. Using the contingency table method, we evaluated the accuracy of versions 6 and 7 of the Tropical Rainfall Measuring Mission Precipitation (TRMM) 3B42 product in southern Brazil by comparing daily precipitation over 13 years (V6 was tested for historical context). The interpolated data from 25 rain gauges were compared with both versions of TRMM. The V7 product tended to produce a slight increase in PC (proportion correct). V7 also showed a slight increase in the correlation coefficient (CC) and a significant increase in the H (hit rate) and CSI (critical success) indexes. However, the upgraded version shows an undesirable increase in the false alarm ratio. When the rainfall volumes were compared, V6 clearly underestimated the total rainfall over the entire period, but the V7 product slightly overestimated the cumulative volume (11%) which still represented a more reliable estimate than from V6. Furthermore, the main improvement in V7 was a large increase in the quantitative recognition of extreme precipitation events: V6 detected only 1% of the daily rainfalls above 60 mm, whereas V7 detected 57% of the events.(KEY TERMS: TRMM 3B42; versions 6 and 7; hydrology; precipitation; performance; Southern Brazil.) Fensterseifer, Cesar, Daniel G. Allasia, and Adriano R. Paz, 2016. Assessment of the TRMM 3B42 Precipitation Product in Southern Brazil.

ResumoO objetivo deste trabalho foi quantificar os danos causados por um evento de granizo sobre uma lavoura comercial de soja. O evento de granizo ocorreu no município de Água Santa, no Estado do Rio Grande do Sul, durante o ano agrícola de 2013/2014. Foram realizadas avaliações da matéria seca do limbo foliar, pecíolo, legume e do índice de área foliar. Tais medições foram obtidas em data anterior e posterior ao evento de granizo que ocorreu no dia 08/02/2014. Com o auxílio de imagens de satélites e de radar foi possível identificar a intensidade do evento e a presença de granizo nas nuvens. Os danos provocados pelo granizo na cultura da soja foram: a redução da matéria seca nos limbos foliares (0,13 Mg ha -1 ), nos pecíolos (0,01 Mg ha -1 ) e nos legumes (0,002 Mg ha -1 ) das plantas da lavoura; o decréscimo no índice de área foliar de 7 a 34%; e a quebra do ápice de crescimento em 32% das plantas do experimento. Possivelmente, devido a esta redução na massa seca, houve diminuição na produtividade de soja da lavoura. As imagens de satélite e de radar podem ser ferramentas para auxiliar os extensionistas na determinação dos danos de granizo nas lavouras de soja. Palavras-chave: Glycine max, índice de área foliar, granizo, radares meteorológicos. On-Farm Hail Damage In Soybean: A Case Study AbstractThe objective of this study was to quantify the damages caused by a hail event on a soybean farm. The hail event happened at Água Santa County, Rio Grande do Sul State, Brazil, during the 2013/2014 growing season. Were conducted dry matter evaluations of leaf, petiolate, pod and leaf area index. Such measurements were obtained before and also after of the hail event occurred on 08/02/2014. By using satellite and radar images it was possible to identify the hail event intensity. The hail event damage on the soybean crop were reduction dry matter on leaf blade (0.13 Mg ha ), also were observed a decrease in leaf area index that varying from 7 to 34% and breaking off the growth apex in 32% of plants on the experiment. Therewith, the satellite and radar images can be a tool to help the extension on determination of hail damage on soybean farms.