Grafting compatibility among eleven chestnut cultivars and hybrids.

Among the four commercial chestnut species the C. dentata (Marsh.) Boskh. and C. sativa P. Mill. has excellent quality but more susceptible to diseases when compared to C. mollissima Blume and C. crenata Siebold & Zucc. which has inferior quality but can be used as rootstocks. This work aimed to evaluate the behavior of chestnut varieties grafted in different rootstocks under São Bento do Sapucaí, São Paulo, Brazil condition. In 1986, eleven chestnut cultivars and hybrids - Ibuki (IB), Izumo (IZ), Kinchu (KI), KM1 (KM2), KM(2) KM(2), Moriowase (MO), Okuni (OK), Taishowase (TAI), Tamatsukuri (TAM), Tiodowase (TIO) and Senri (SEN) (only graft) ? were grafted each other resulting in hundred ten combinations. Fifteen-year later grafted trees with minimum of three plants were evaluated for tree height, trunk diameter above and below graft union and graft compatibility. Randomized blocks with three replications were submitted to analysis of variance for tree height and trunk diameter. Grouping analysis using the PROC CLUSTER ? SAS system was used to describe the pattern of variance among different combinations. Seventy eight combinations in hundred ten showed perfect grafting compatibility 6 months after grafting. Forty seven combinations showed incompatibility after transplanting and the dieback rate in each combination ranged from 25 to 100%. Among seventy eight combinations established in the field twenty six had enough plants for evaluation fifteen-year later. Tree height and trunk diameter showed highly significant difference among the combinations. The highest plant (6 m) was grafted on Moriowase and Tamatsukuri which showed the highest compatibility as rootstock. The harvesting season is from November to May where MOR, IB, TAM, OK and TAI behave as early-season-cultivar and SEN the latest one.

Spatio-temporal modeling of data imputation for daily rainfall series in homogeneous zones.

Spatio-temporal modelling is an area of increasing importance in which models and methods have often been developed to deal with specific applications. In this study, a spatio-temporal model was used to estimate daily rainfall data. Rainfall records from several weather stations, obtained from the Agritempo system for two climatic homogeneous zones, were used. Rainfall values obtained for two fixed dates (January 1 and May 1, 2012) using the spatio-temporal model were compared with the geostatisticals techniques of ordinary kriging and ordinary cokriging with altitude as auxiliary variable. The spatio-temporal model was more than 17% better at producing estimates of daily precipitation compared to kriging and cokriging in the first zone and more than 18% in the second zone. The spatio-temporal model proved to be a versatile technique, adapting to different seasons and dates.