Grapevine is one of the most valuable fruit crops in the world. Adverse environmental conditions reduce fruit quality and crop yield, so understanding the genetic and molecular mechanisms determining crop yield components is essential to optimize grape production. The analysis of a diverse collection of grapevine cultivars allowed us to evaluate the relationship between fruit set-related components of yield, including the incidence of reproductive disorders such as coulure and millerandage. The collection displayed a great phenotypic variation that we surveyed in a genetics association study using 15,309 single nucleotide polymorphisms (SNPs) detected in the sequence of 289 candidate genes scattered across the 19 grapevine linkage groups. After correcting statistical models for population structure and linkage disequilibrium effects, 164 SNPs from 34 of these genes were found to associate with fruit set-related traits, supporting a complex polygenic determinism. Many of them were found in the sequence of different putative MADS-box transcription factors, a gene family related with plant reproductive development control. In addition, we observed an additive effect of some of the associated SNPs on the phenotype, suggesting that advantageous alleles from different loci could be pyramided to generate superior cultivars with optimized fruit production.
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http://dx.doi.org/10.1016/j.plantsci.2021.110875 | DOI Listing |
Sci Rep
February 2023
USDA-ARS Vegetable Crops Research Unit, Department of Horticulture, University of Wisconsin, Madison, WI, 53706, USA.
Cucumber (Cucumis sativus L.), a major horticultural crop, in the family Cucurbitaceae is grown and consumed globally. Parthenocarpy is an ideal trait for many fruit and vegetables which produces seedless fruit desired by consumers.
View Article and Find Full Text PDFAnal Chim Acta
June 2021
CEOT, Universidade Do Algarve, Campus de Gambelas, 8005-189, Faro, Portugal.
In the domain of chemometrics, multiblock data analysis is widely performed for exploring or fusing data from multiple sources. Commonly used methods for multiblock predictive analysis are the extensions of latent space modelling approaches. However, recently, deep learning (DL) approaches such as convolutional neural networks (CNNs) have outperformed the single block traditional latent space modelling chemometric approaches such as partial least-square (PLS) regression.
View Article and Find Full Text PDFTalanta
July 2021
Farm Technology Group, Wageningen University & Research, Wageningen, the Netherlands.
Chemometrics pre-processing of spectral data is widely performed to enhance the predictive performance of near-infrared (NIR) models related to fresh fruit quality. Pre-processing approaches in the domain of NIR data analysis are used to remove the scattering effects, thus, enhancing the absorption components related to the chemical properties. However, in the case of fresh fruit, both the scattering and absorption properties are of key interest as they jointly explain the physicochemical state of a fruit.
View Article and Find Full Text PDFPlant Sci
May 2021
Instituto de Ciencias de la Vid y del Vino (CSIC, UR, Gobierno de La Rioja), Logroño, 26007, Spain. Electronic address:
Grapevine is one of the most valuable fruit crops in the world. Adverse environmental conditions reduce fruit quality and crop yield, so understanding the genetic and molecular mechanisms determining crop yield components is essential to optimize grape production. The analysis of a diverse collection of grapevine cultivars allowed us to evaluate the relationship between fruit set-related components of yield, including the incidence of reproductive disorders such as coulure and millerandage.
View Article and Find Full Text PDFJ Proteome Res
August 2011
School of Biological and Biomedical Sciences, University of Durham, South Road, Durham, DH1 3LE, United Kingdom.
Ricinoleic acid is a feedstock for nylon-11 (N11) synthesis which is currently obtained from castor (Ricinus communis) oil. Production of this fatty acid in a temperate oilseed crop is of great commercial interest, but the highest reported level in transgenic plant oils is 30%, below the 90% observed in castor and insufficient for commercial exploitation. To identify castor oil-biosynthetic enzymes and inform strategies to improve ricinoleic acid yields, we performed MudPIT analysis on endoplasmic reticulum (ER) purified from developing castor bean endosperm.
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