Produção do girassol e teor de óleo nos aquênios em função da temperatura do ar, precipitação pluvial e radiação solar

Abstract

Produção do girassol e teor de óleo nos aquênios em função da temperatura do ar, precipitação pluvial e radiação solarYield of sunflower and oil seed content as a function of air temperature, rainfall and solar radiation

Production and morphological components of sunflower on soil fertilized with cassava wastewater

“…The CD found in the present work were also higher than those found by Thomaz et al (2012) in different sunflower cultivars, including Helio-250, in crops intended for biofuel production. Therefore, these results denoted that the nutritional contribution of the CWR of 136 m 3 ha -1 had a positive effect on this morphological variable.…”

“…They attributed these high yields to the favorable temperature and water availability during the crop cycle. Thomaz et al (2012) ). However, the hybrid Helio-250 had higher SOC in all sowing times (51.8 to 37.4%), which were lower in later planting times due to the lower solar radiation.…”

Meteorological variables and morphological characteristics influencing the evapotranspiration of forage cactus

“…Only the number of 1 st order cladodes of 'Miúda' species showed a moderate correlation, according to the classification used by Thomaz et al (2012) ET (-0.654*). This fact was not observed in the ET/ETo ratio, which was strongly (between 0.70 to 0.89) and negatively correlated with the cladode area index in the species 'IPA Sertânia' (-0.739**) and 'Orelha de Elefante Mexicana' (-0.709**).…”

“…The direction was evaluated based on the sign of correlation, positive (+) or negative (-). The Pearson correlation coefficient intensity classification was interpreted according to that used by Thomaz et al (2012), which comprised the following ranges: 0 to 0.19: "very weak"; 0.20 to 0.39: "weak"; 0.40 to 0.69: "moderate"; 0.70 to 0.89, "strong" and 0.90 to 1.00, "very strong".…”

Dairy Production of ‘Saanen’ Goats Based on Meteorological Variables and Future Climate Scenarios

“…A Pearson's linear correlation coefficient matrix was determined using dairy production data at lactation peak (response variable) and meteorological variables (explanatory variables). The magnitude of this matrix was classified as follows: (r) 0 to 0.19 "very weak"; (r) 0.20 to 0.39 "weak"; (r) 0.40 to 0.69 "moderate"; (r) 0.70 to 0.89 "strong"; and (r) 0.90 to 1.00 "very strong", as proposed by THOMAZ et al (2012). Next, we used this matrix to diagnose multicollinearity, aiming at eliminating explanatory variables linearly related to each other.…”