The yellowmargined leaf beetle, Microthecaochroloma (Stål) (Coleoptera: Chrysomelidae ), is an adventive pest of cruciferous crops in the southeastern United States. Despite its pest status, there is limited information about the infiuence of temperature on development and survival of M. ochroloma. The objectives of this study were to assess the effect of temperature on the development and survival of immature stages, and determine the cold tolerance of immature and adult stages. Development was evaluated at 15,20, 25, and 30°C, and cold tolerance was measured at 5,0, and -5°C inside environmentally controlled chambers. Survival of M. ochroloma from egg to adult was ≈80% at 15,20, and 25°C, but only 24% at 30°C. Mean developmental time was longest at 15°C (57 d) and shortest at 30°C (17 d). Leaf area consumed by the fourth instar was 7.4-fold lower at 30°C compared with consumption at 15, 20, or 25°C. The lower developmental threshold varied from 7.3 to 9.8°C and the total degree-days required to complete development from egg to adult was 333. At 5,0, and -5°C, the LT90 values for the first instar were shorter compared with all other stadia, suggesting that the first instar is the most susceptible to cold temperatures. Eggs were most cold tolerant, followed by pupae and adults. Based on the LT50 (13d) andLT90 (38d) of eggs at 0°C, the predicted northern distribution of M. ochroloma extends to Kansas, Illinois, Kentucky, and Virginia.

Effect of Evapotranspiration Rate on Almond Yield in California Dafne Isaac SerranoSince 2011, California has been under drought conditions. These conditions have not only affected water availability for farmers, but also production. California's second most valuable crop, almonds, has been affected by drought conditions. This study used three models (Model 1-3) to describe almond yield variability from year to year and almond yield variability within a year in Kern County, CA. The study evaluated 185 almond farms that were classified in three locations (east side, west side and north west side). The years of the study were 2011 (wet year) and 2013-2015 (drought condition years). Model 1 determined a functional regression between almond yield and annual evapotranspiration during the 4 years of the study. The R 2 was 7.9%, meaning low association between both variables and high unexplained variability (92.1%). Model 2 evaluated year to year variation. A regression function between almond yield and annual evapotranspiration after adjusting for location, precipitation, chilling hours and year was made. The R 2 of this model 62.6%, and all the variables used had a p<0.05. The R 2 was higher than Model 1; however, there was high unexplained variability (47.4%). Model 3 evaluated within-year variation. A regression function between almond yield and annual evapotranspiration after adjusting for tree age and location (east, west and northwest side) was made for each year (2011 and 2013 -2015). Coefficient of variation of evapotranspiration and soil available water storage were analyzed as additional variables in Model 3; however, they were not introduced in Model 3 due to the low increase in R 2 in each year (<2%). The R 2 of Model 3 for each year were, 60.4%, 49.7%, 53.8% and v 53.2% for the years 2011, 2013-2015, respectively. Model 3 also had high unexplained almond yield variability in each year (39.6%-50.3%). This high unexplained variability leads to introduce additional variables to the functional regression model for further studies. Identifying these additional variables and having a functional regression model with high R 2 would lead to understand how low evapotranspiration could potentially lead to a positive response on yield in drought conditions; thus, making farmers improve water use efficiency and hence, lowering production cost. However, the high unexplained variability clearly indicates that evapotranspiration is only one of many factors that influence yield. If improved yield is an important outcome, future studies must examine large-scale almond-producing farms with multiple agricultural system variables.