Studies involving the impact of water stress on soybean physiology are abundant, but the studies about determinate and indeterminate growth types are scarce. Considering that the responses of growth types to water stress are of great value to guide drought resistance breeding programs, the aim of this study was to evaluate soybean physiologic parameters and biomass of a determinate and indeterminate growth type under water stress. Six cultivars, been three of determinate growth type (D) and three of indeterminate growth type (I) were submitted to three water stress levels, in the reproductive stage mostly, under greenhouse conditions. The measures of leaf gas exchange, leaf water potential, relative chlorophyll content, chlorophyll A fluorescence and biomass were evaluated during water stress condition, and during two periods, in the morning and in the afternoon. Differences in leaf gas exchanges of both soybean growth types were found between periods of evaluation, the indeterminate growth type (I) presented the greatest values for stomatal conductance, transpiration and CO 2 assimilation, leading to higher water consumption, however with no impact on soybean biomass. The great water consumption in the morning leads to lower water potentials at afternoon, when the conditions are more critical. The water stress was not able to change the chlorophyll fluorescence or levels in both soybean growth types.
Winter squash (Cucurbita moschata) has great importance as a food. Brazil has a wide genetic variability of squash; most of this is conserved in germplasm banks. The Vegetable Germplasm Bank of the Federal University of Viçosa (BGH-UFV) includes more than 350 accessions of squash; however, this germplasm is still little used. Characterization of accessions requires time, labor, and financial resources. Image-based, high-quality and large-scale phenotyping is a promising alternative tool. We propose digital phenotyping of C. moschata germplasm fruit. To achieve this, we evaluated 466 fruits from 148 accessions of squash from BGH-UFV and four checks. After longitudinal cutting, the fruits were evaluated on the basis of their length, diameter, and internal cavity dimensions. An image of every fruit was also obtained. Digital measurements were made using the software FENOM. The comparison between manual and digital forms of fruit evaluation was carried out with the software GENES. The comparisons were based on the analyses of simple linear regression, bias, the coefficient of Pearson correlation, the index of concordance, the index of performance, the efficiency of the method, the absolute average error, and the absolute maximum error. The evaluations based on images had high concordance (>0.93), almost perfect correlation (>0.99), and a Genetics and Molecular Research 19 (3): gmr18646 ©FUNPEC-RP www.funpecrp.com.br Digital phenotyping of fruits 2 performance classified as excellent (>0.92), in the evaluation of all the descriptors, when compared to manual measurements. We conclude that phenotyping of winter squash fruits based on digital images is promising for the characterization of C. moschata accessions, resulting in an efficient evaluation.
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