The Solanaceae family is one of the major groups of angiosperms with ≈2500 species and 100 genera ( Filipowicz and Renner, 2012 ). The family contains species with agricultural and economical importance worldwide such as Solanum tuberosum
Lumariz Hernandez Rosario, Juan O. Rodríguez Padilla, Desiree Ramos Martínez, Alejandra Morales Grajales, Joel A. Mercado Reyes, Gabriel J. Veintidós Feliu, Benjamin Van Ee, and Dimuth Siritunga
Nichole F. Edelman and Michelle L. Jones
. Solanaceae is a relatively large and very diverse family that includes many plants that are highly sensitive to ethylene. The family contains ≈90 genera consisting of 3000 to 4000 species, which include edible, ornamental, and medicinal plants ( Bombarely et
Rosanna Freyre, Amy C. Douglas, and Michael O. Dillon
Reciprocal crosses, both intraspecific and interspecific, were made among five Chilean species of Nolana (Solanaceae), a genus native to western South America. With the exception of N. paradoxa, plants of all species used were grown from mericarps collected from wild populations. Self-pollinations were generally not successful, suggesting obligate allogamy. A total of 333 hybridizations were performed, of which 109 were intraspecific and 224 interspecific. Successful intraspecific hybridizations, as measured by formation of fruits, were produced for N. acuminata (83%), N. elegans (94%), N. paradoxa (82%), and N. rupicola (100%), however viable hybrids were only obtained for N. paradoxa. Interspecific combinations resulted in over 80% fruit set, however, viable hybrid success ranged from only 1% to 5%. Crosses included N. elegans × N. paradoxa with 20 viable hybrids, N. paradoxa × N. elegans with two hybrids, N. paradoxa × N. rupicola with seven hybrids, and N. rupicola × N. paradoxa with five hybrids. Exceptions included crosses involving N. aplocaryoides, with up to 20% fruit set. Also, the combination N. paradoxa × N. aplocaryoides with five hybrids, had a 26% success. All interspecific hybrids obtained had N. paradoxa as one of the parents, which could be related to artificial selection for high germination frequency.
Rebeccah A. Waterworth and Robert J. Griesbach
Recently, several new Calibrachoa La Llave & Lexarza (Solanaceae Juss.) cultivars have been developed with novel red and blue flowers. Most wild species of Calibrachoa have purple flowers. The differences in color were not due to anthocyanin composition, but rather to vacuolar pH. The pH of the red-flowered cultivar was 4.8 while that of the blue-flowered cultivar was 5.6. The wild purple-flowered species had an intermediate pH of 5.0. These data suggest that different pH and pigment genes may be introgressed into other Calibrachoa species to increase cultivar diversity.
Job Teixeira de Oliveira, Fernando França da Cunha, Rubens Alves de Oliveira, and Catariny Cabral Aleman Pina
weight loss ( Bolzan et al., 2011 ). Such features have resulted in an increasing demand by the consumer market ( Santana et al., 2020 ). This species belongs to the Solanaceae family. Most of the management (support for the plant, fertilization, weed
Carolina Contreras, Mauricio González-Agüero, and Bruno G. Defilippi
-Columbian Andean cultures, and it is a member of the Solanaceae family, which includes several important crops, such as tomatoes ( S. lycopersicum ), potatoes ( S. tuberosum ), and eggplants ( S. melongena ) among others ( Prohens et al., 1996 ). Of the ≈1500
Wenjing Guan, Xin Zhao, Richard Hassell, and Judy Thies
-knot nematodes in the Solanaceae and Cucurbitaceae. Interest in vegetable grafting has recently grown in the United States as an alternative to soil fumigants and as an integrated pest management practice in various crop production systems ( Kubota et al., 2008
Lucianne Braga Oliveira Vilarinho, Derly Jose Henriques da Silva, Ann Greene, Kara Denee Salazar, Cristiane Alves, Molly Eveleth, Ben Nichols, Sana Tehseen, Joseph Kalil Khoury Jr., Jodie V. Johnson, Steven A. Sargent, and Bala Rathinasabapathi
on the inheritance of fruit quality traits are needed to devise breeding programs to tailor specific traits. Research on fruit development in peppers can be expected to contribute to our understanding of fleshy fruit evolution in the Solanaceae and
Chieri Kubota, Michael A. McClure, Nancy Kokalis-Burelle, Michael G. Bausher, and Erin N. Rosskopf
, but wider commercial applications did not happen until 1960 ( Sakata et al., 2008 ). For members of the Solanaceae, the first record was of eggplant ( Solanum melongena L.) grafted on scarlet eggplant ( Solanum integrifolium Poir.) in the 1950s ( Oda
M. Moriondo, M. Bindi, and T. Sinclair
Crop growth simulation models have been mainly developed to simulate final yield reliably. Thus, a main challenge in these models is the definition of a stable method for expressing the growth of harvested organs (e.g., fruit, seed, tuber, etc.). Generally, two approaches have been used: growth rate analysis of harvested organs [yield growth rate (YGR)] and analysis of harvest index (HI) increase over time (dHI/dt). This work aims to: 1) examine whether YGR and dHI/dt increase linearly over much of growing period, and 2) compare the two growth indices in terms of stability across a number of treatments, in order to identify which is the best indicator of harvest-organ growth. This analysis has already been performed for a large number of field crops, including wheat (Triticum aestivum L.), sunflower (Helianthus annuus L.), soybean [Glycine max L. (Merr.)], and pea (Pisum sativum L.), but it has never been attempted in crops where final yield is not simply seeds. In this study, YGR and dHI/dt performances for tomato (Lycopersicum esculentum Mill.), potato (Solanum tuberosum L.), and eggplant (Solanum melongena L.) were compared using 21, 18, and 4 datasets, respectively. Results indicated that both descriptors of harvest-organ growth increased linearly for most of the growth period, whilst the comparison among the two variables in terms of stability showed that, although a direct statistical test failed, dHI/dt was more suitable to describe harvest-organ growth (smaller coefficient of variability) under a large range of crop management conditions (e.g., irrigation, sowing date, planting density, and water salt concentration).