نتایج جستجو برای: seedless varieties

تعداد نتایج: 44411  

Journal: :Journal of chromatography. A 2005
Agnes M Rimando Penelope M Perkins-Veazie

Watermelon (Citrullus vulgaris Schrad.) is a natural and rich source of the non-essential amino acid citrulline. Citrulline is used in the nitric oxide system in humans and has potential antioxidant and vasodilatation roles. A method using gas chromatography-mass spectrometry (GC-MS) was developed to separate citrulline from glutamic acid, which co-elute when analyzed by high performance liquid...

2012
Rodrigo R. Latado Augusto Tulmann Neto Antonio Figueira

Spontaneous mutations are important for the development of new Citrus varieties, but these mutations appear at a low frequency in nature. In contrast, induced mutagenesis using radiation or chemical mutagens can increase the rate of mutation many fold, which increases the genetic variability that is available for selection. However, few induced mutants have been officially released for cultivat...

2014
Fang Xu Lijun Pang Xiaoyu Cai Xinwen Liu Shuai Yuan Xiuqin Fan Bin Jiang Xiaowei Zhang Yali Dou Myriam Gorospe Wengong Wang

The p66Shc adaptor protein is an important regulator of lifespan in mammals, but the mechanisms responsible are still unclear. Here, we show that expression of p66Shc, p52Shc, and p46Shc is regulated at the post-transcriptional level by the microRNA let-7a. The levels of let-7a correlated inversely with the levels of Shc proteins without affecting Shc mRNA levels. We identified 'seedless' let-7...

Journal: :Horticulturae 2021

Eggplant (Solanum melongena) is the third most important vegetable in Asia and of considerable importance Mediterranean belt. Although global eggplant production has been increasing recent years, productivity limited due to insects, diseases, abiotic stresses. Genetic engineering offers new traits eggplant, such as seedless parthenocarpic fruits, varieties adapted extreme climatic events (i.e.,...

2010
Mohammad S. Aziz Chandan K. Reddy

Finding correlation clusters in the arbitrary subspaces of highdimensional data is an important and a challenging research problem. The current state-of-the-art correlation clustering approaches are sensitive to the initial set of seeds chosen and do not yield the optimal result in the presence of noise. To avoid these problems, we propose RObust SEedless Correlation Clustering (ROSECC) algorit...

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