The increasing use of photoselective nets (PNs) raises the question of their influence on pollen traits. We aimed to evaluate the effect of PNs (yellow, pearl, and grey) on the pollen of 'Matua' and 'Tomuri' cultivars. The pollen size and the exine were studied with a light microscopy and a scanning electron microscopy, and the fertility was analysed by a viability assay and in vitro germination. The total soluble proteins (TSPs) and sugars (TSSs) were quantified by colorimetric assays. The molecular structure of the pollen grain's wall was analysed by a Raman spectroscopy. The pollen from the plants under the PNs had a larger width and area and a lower germination rate. No significant changes were observed in the exine's microperforations. The TSP and TSS contents were influenced by the cultivar and PNs (particularly the pearl PN). The Raman spectra of the pollen from the plants grown under the nets presented some bands that significantly shifted from their original position, indicating differences in the vibration modes of the molecules, but no overall changes at their structural or organisation level were found. Our study showed that the PNs could influence several pollen traits, with the pearl PN inducing greater modifications. Our results also support the idea that cultivars affect the outcome of some characteristics.
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http://dx.doi.org/10.3390/plants13121691 | DOI Listing |
Front Plant Sci
December 2024
Institute of Agricultural Biotechnology, Jilin Academy of Agricultural Sciences (JAAS), Changchun, China.
Alfalfa ( L.), a prominent perennial forage in the legume family, is widely cultivated across Europe and America. Given its substantial economic value for livestock, breeding efforts have focused on developing high-yield and high-quality varieties since the discovery of CMS lines.
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December 2024
Department of Electrical and Computer Engineering, Iowa State University, Ames, IA, United States.
In plant breeding and genetics, predictive models traditionally rely on compact representations of high-dimensional data, often using methods like Principal Component Analysis (PCA) and, more recently, Autoencoders (AE). However, these methods do not separate genotype-specific and environment-specific features, limiting their ability to accurately predict traits influenced by both genetic and environmental factors. We hypothesize that disentangling these representations into genotype-specific and environment-specific components can enhance predictive models.
View Article and Find Full Text PDFHeliyon
December 2024
Soil Science Division, Bangaldesh Wheat and Maize Research Institute, Nashipur, Dinajpur, 5200, Bangladesh.
Heat shock, a transient exposure to high temperatures, is a substantial hazard to rice ( L.) production and sustainability. The objective of this review paper is to summarize the impact of heat shock on rice and explore approaches to mitigate its adverse effects to achieve sustainable production.
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December 2024
Center of Excellence in Bioconversion and Bioseparation for Platform Chemical Production, Institute of Biotechnology and Genetic Engineering, Chulalongkorn University, 254 Phayathai Road, Pathumwan, Bangkok, 10330, Thailand.
One important functional food ingredient today, valued for its health properties and ability to prevent disease, is bee pollen, which comprises a combination of nectar, pollen from plants, and the secretions of bees. In this research, the tyrosinase (TYR) inhibiting abilities of the peptides derived from bee pollen protein hydrolysates are investigated. Various proteases were utilized to generate these peptides, followed by testing at different concentrations.
View Article and Find Full Text PDFCurr Issues Mol Biol
December 2024
College of Food Science and Engineering, Boda College of Jilin Normal University, Siping 136000, China.
As a globally significant economic crop, the seed size of soybean ( [L.] Merr.) is jointly regulated by internal genetic factors and external environmental signals.
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