2 resultados para 0-50 m

em Repositorio Institucional da UFLA (RIUFLA)


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Salinity, ever present in agricultural soils, affects plant productivity. However, there are species more tolerant than others, and the study of response mechanisms to salinity is necessary in order to elucidate which responses are correlated with tolerance to salinity. Thus, we aimed at physiologically characterizing two Glycine max L. genotypes concerning saline stress, and identify which variables are more correlated with tolerance to salinity. For this, plants of cultivars AS 3730 and M 8372 were submitted to three saline concentrations (0, 50 and 100 mM), having sampled 0, 8 and 16 days. We conducted analysis for growth, enzymatic and non-enzymatic antioxidant metabolism, photosynthesis beyond the content of chlorophyll a and b, carotenoids, total soluble sugars, reducing sugars, proteins and proline. A results, cultivar M 8372 presented better growth, higher antioxidant enzyme activity and higher content of antioxidants such as ascorbate and carotenoids, when compared to cultivar AS 3730. In addition, cultivar M 8372 also presented lower levels of lipid peroxidation. However, cultivar AS 3730 obtained higher contents of proline, an osmoprotector and lower growth compromise when compared to its control. In conclusion, there is a differential response of the cultivars to salinity.

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The principal component analysis assists the producers in making decision of which evaluated features must be maintained in performance tests indexes, according to the variation present in these animals evaluated. The objective in this study was to evaluate a set of characteristics measured in a performance test in semifeedlot cattle of the Simmental and Angus breeds, by means principal component analysis (PC), aim to identify the features that represent most of the phenotypic variation for preparation of indexes. It was used data from 39 Angus and 38 Simmental bulls from the Santa Éster farm, located in Silvianópolis - MG. The performance test period was from october 2014 to february 2015. The features evaluated in the test were: final weight (FW), average daily gain weight (GW), respiratory rate (RR), haircoat temperature (HT) and rectal (RT), hair number (HN), hair length (HL), hair thickness (HT), muscularity (MUSC), racial characteristics, angulation, reproductive and balance (BAL), height of the front and back, width and length of croup, body length, depth and heart girth, subcutaneous fat thickness and rump (FTR), loin eye area and marbling (MAR). It was used PRINCOMP from SAS program for procedure the PC analysis. It was found that of the 27 features evaluated, the first four PC for Simmental breed explained 74% total variation data. The four PC selected with the corresponding weighting coefficients formed the following index: (0.27 * FW) + (0.47 * MUSC) + (0.50 * HL) + (0.39 * HT). Since the characteristics related to the adaptability of great importance for the studied breed, it was decided to keep the index of evidence for the Angus breed, the feature hair number, because there is a feature that presented a great variability and occupied one of the first principal component. Thus, the Angus index was composed by five features, with 79% total variation data, resulting in the following formula: (0.26 * FW) + (0.33 * BAL) + (0.58 * MAR) - (0.43 * FTR) – (0.38 * HN). By the principal component analysis it was possible to minimize the features number to be evaluated on performance tests from that farm, making the animal selection rapidly and accurate.