scholarly journals Phylogeny, classification, and fruit evolution of the species-rich Neotropical bellflowers (Campanulaceae: Lobelioideae)

2014 ◽  
Vol 101 (12) ◽  
pp. 2097-2112 ◽  
Author(s):  
L. P. Lagomarsino ◽  
A. Antonelli ◽  
N. Muchhala ◽  
A. Timmermann ◽  
S. Mathews ◽  
...  
Keyword(s):  
Fruit Evolution

scholarly journals Phylogeny of Paullinia L. (Paullinieae: Sapindaceae), a diverse genus of lianas with dynamic fruit evolution

2019 ◽  
Vol 140 ◽  
pp. 106577 ◽  
Author(s):  
Joyce G. Chery ◽  
Pedro Acevedo-Rodríguez ◽  
Carl J. Rothfels ◽  
Chelsea D. Specht
Keyword(s):  
Fruit Evolution

Revisiting the classification of Melastomataceae: implications for habit and fruit evolution

2019 ◽  
Vol 190 (1) ◽  
pp. 1-24 ◽  
Author(s):  
Lucas F Bacci ◽  
Fabián A Michelangeli ◽  
Renato Goldenberg
Keyword(s):  
Fruit Evolution

scholarly journals The molecular and enzymatic basis of bitter/non-bitter flavor of citrus fruit: evolution of branch-forming rhamnosyltransferases under domestication

2012 ◽  
Vol 73 (1) ◽  
pp. 166-178 ◽  
Author(s):  
Ahuva Frydman ◽  
Raya Liberman ◽  
David V. Huhman ◽  
Mira Carmeli-Weissberg ◽  
Maya Sapir-Mir ◽  
...  
Keyword(s):  
Citrus Fruit ◽  
Fruit Evolution

scholarly journals FRUIT EVOLUTION AND DIVERSIFICATION IN CAMPANULID ANGIOSPERMS

Evolution ◽  
2013 ◽  
Vol 67 (11) ◽  
pp. 3132-3144 ◽  
Author(s):  
Jeremy M. Beaulieu ◽  
Michael J. Donoghue
Keyword(s):  
Fruit Evolution

scholarly journals Modeling °Brix and pH in Wine Grapes from Satellite Images in Colchagua Valley, Chile

Agriculture ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 697
Author(s):  
Sandra N. Fredes ◽  
Luis Á. Ruiz ◽  
Jorge A. Recio
Keyword(s):  
Satellite Images ◽  
Spectral Indices ◽  
Wine Grapes ◽  
Grape Berries ◽  
Field Samples ◽  
Optimal Harvest ◽  
Fruit Evolution ◽  
Sentinel 2

To monitor the ripeness and composition of wine grape berries and establish an optimal harvest date, the determination of °Brix and pH is vital. This research studies two harvest seasons of Cabernet Sauvignon wine grapes: 2017 and 2018. Field data were periodically collected to follow the phenological state of the fruits. In parallel, eight bands and four spectral indices from Sentinel-2 image time series were used, which are directly related to the foliage properties and activity, and indirectly to the fruit evolution. They were related to the variables measured from field samples: °Brix and pH. The °Brix models obtained with the spectral indices presented an R2 of 69% and 73% in the 2017 and 2018 seasons, respectively. In pH modeling, the 2017 season had low R2 results, reaching 43%, improving considerably in the 2018 season, reaching 63.8%. Estimated Brix and pH maps were obtained, expressing the spatial variability in the evolution of the fruit, which is useful for zoning the plots and to improve the sampling task prior to harvest. They are therefore a valuable tool to monitor the maturation, to improve the efficiency of harvest and subsequently, the quality of the wine.

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