News Update on Banana Cultivars Research: July – 2019

Differences among Spanish and Latin-American banana cultivars: morphological, chemical and sensory characteristics

Physical (weight, size, shape, texture and colour), chemistry (pH, titratable acidity, soluble solids, wetness content, total solids), chemical (soluble sugars, vitamin C, starch, cellulose substances, volatile compounds) and organic chemistry (polyphenol enzyme and oxidase activities, soluble proteins) characteristics and sensory attributes (appearance, flavour, odour, colour, firmness, acceptability) of banana (Musa cavendishii L.) fruits were studied so as to assess doable variations between biological process properties and shopper satisfactoriness of the native (Canarian) varietys Enana and grannie Enana and also the Latin-American (Colombian) Enana cultivar. vital variations (P ≤ 0•05) were found between size and length of fruit, and between different objective measurements (lightness, yellowness, acidity, wetness content, starch, oxidase and polyphenol enzyme activities, soluble sugars—sucrose, fructose, glucose). additionally there have been vital variations in antioxidant and supermolecule content that established the upper biological process price of the Spanish banana cultivars. the most integrative variations between the banana cultivars in terms of flavour were quantified. Purge and lure (head-space) analysis of the Spanish Enana variety showed it absolutely was the richest within the characteristic banana volatile aroma compounds. Sensory descriptive analysis discriminated between banana cultivars in terms of flesh color and flesh sweetness; though panellists likable all cultivars, they most popular the Spanish Enana fruits (overall satisfactoriness test). [1]

Genetic characterization of banana cultivars (Musa spp.) from Brazil using microsatellite markers

Microsatellite markers were wont to characterize thirty five banana (Musa spp.)genotypes cultivated in Brazil, as well as polyploid cultivars and tetraploid hybrids. a complete of thirty three Musa-specific primers were tested, and eleven created clear ,reproducible and separate bands. the typical range of alleles amplified per primer was half-dozen.1, starting from four to eight, with a complete of sixty seven alleles known. Phenetic analysis supported Jaccard similarity index derived from presence or absence of the alleles in agreement with the morphological classification. Bootstrap analysis divided the genotypes into four clusters, in keeping with genomic cluster and subgroup classification. the primary cluster contained the bulk of cultivars that have ‘A’ ordering alone; whereas the second contained all polyploid cultivars of the subgroup Prata (Pome) and their tetraploid hybrids. The third cluster contained variety ‘Maçã’ in conjunction with alternative genotypes thought-about for breeding functions as the same as the Silk subgroup. These last 2 clusters shaped a bigger cluster as well as the bulk of genotypes that resulted from conjugation between M. acuminata and M. balbisiana. The microsatellite loci were extremely informative, with some combine of primers generating associate distinctive finger printing for every genomic cluster and discriminating a genotype of uncertain classification, though bodily mutants from a subgroup were rarely distinguished from their original clone. Tetraploid hybrids exhibited distortion within the proportion of alleles given by their polyploid parent. For a couple of primers, some genotypes exhibited a better range of alleles than expected from their ploidy level, suggesting the prevalence of duplicated alleles or duplicated body regions. [2]

A provisional checklist of banana cultivars in Uganda. [1994]

Because of the incidence of great plant diseases, and since several farmers within the ancient banana growing regions in Republic of Uganda found that the crop wasn’t profitable to grow, the event of a viable analysis programme was essential, and during this regard a probationary check-list of all the cultivars within the country is that the right starting. Hopefully, this work can continue till it culminates within the development of AN identification key for the geographic region Highland banana cultivars. [3]

Expression and distribution of extensins and AGPs in susceptible and resistant banana cultivars in response to wounding and Fusarium oxysporum

Banana wilt caused by Fusarium oxysporum f. sp. cubense (Foc) is soil-borne unwellness of banana (Musa spp.) inflicting important economic losses. Extensins and arabinogalactan proteins (AGPs) are cytomembrane parts vital for microorganism defence. Their significance for Foc resistance in banana wasn’t reported  to date. during this study, 2 banana cultivars differing in Foc sensitivity were wont to monitor the changes in transcript levels, abundance and distribution of extensins and AGPs when wounding and Foc immunization. Extensins in the main appeared within the plant organ and meristematic cells. AGPs recognized by JIM13, JIM8, PN16.4B4 and CCRC-M134 antibodies settled in root hairs, vascular tissue and plant organ. Individual AGPs and extensins showed specific radial distribution in banana roots. At the transcript level, seven extensins and twenty three AGPs were differentially expressed between 2 banana cultivars before and when treatments. 2 extensins and 5 AGPs suffered the treatments at the macromolecule level. Most extensins and AGPs were up-regulated by wounding and microorganism immunization of intact plants however down-regulated by pathogen attack of wounded plants. Main parts accountable for the resistance of banana were MaELP-2 and MaPELP-2. Our knowledge unconcealed that AGPs and extensins represent dynamic cytomembrane parts concerned in wounding and Foc resistance. [4]

Agronomic Performance of Different Banana Cultivars in the Capixaba North Region

There area unit several banana cultivars developed by genetic breeding programs in Brazil, however, once considering the connected aspects, shopper market preference and therefore the effects of the genotype-by-environment interaction, the choices could also be restricted to some regions of the country. Therefore, the target of this study was to guage the vegetative associate degreed productive development in 3 cycles of twelve banana genotypes below an irrigation system within the edaphoclimatic conditions of the northwestern region of the state of Espírito Santo, in a very irregular block style with four replicates. throughout 3 cycles, the subsequent characteristics were evaluated: plant height, range of shoots, range of total and practical leaves, pseudostalk diameter at five and thirty cm from the bottom, bunch weight, range of fruits per bunch, range of bunch and size and fruit diameter. The results showed that the genotypes with the best productive potential were the ‘Grand Nine’ of the chemist cluster, followed by Thap Maeo chemist cluster. For the ‘Prata’ cluster, the simplest genotypes were the ‘Gali’, ‘Pacovan’ and ‘Fhia 18’. The ‘Princesa’ was the foremost productive within the ‘Maçã’ cluster, having a cultivation potential within the northern region of Espírito Santo. [5]


[1] Cano, M.P., de Ancos, B., Matallana, M.C., Cámara, M., Reglero, G. and Tabera, J., 1997. Differences among Spanish and Latin-American banana cultivars: morphological, chemical and sensory characteristics. Food Chemistry, 59(3), pp.411-419. (Web Link)

[2] Creste, S., Neto, A.T., de Oliveira Silva, S. and Figueira, A., 2003. Genetic characterization of banana cultivars (Musa spp.) from Brazil using microsatellite markers. Euphytica, 132(3), pp.259-268. (Web Link)

[3] Karamura, D.A. and Karamura, E.B., 1994. A provisional checklist of banana cultivars in Uganda. (Web Link)

[4] Expression and distribution of extensins and AGPs in susceptible and resistant banana cultivars in response to wounding and Fusarium oxysporum

Yunli Wu, Wei Fan, Xiaoquan Li, Houbin Chen, Tomáš Takáč, Olga Šamajová, Musana Rwalinda Fabrice, Ling Xie, Juan Ma, Jozef Šamaj & Chunxiang Xu

Scientific Reports volume 7, Article number: 42400 (2017) (Web Link)

[5] Gabriel Berilli, A. P., Viganô, M., de Sales, R., Berilli, S., Furno Fontes, P., Fontes, A., Quartezani, W., Cunha Junior, J. de, de Souza, C. M., de Oliveira, E. and Varnier, E. (2018) “Agronomic Performance of Different Banana Cultivars in the Capixaba North Region”, Journal of Experimental Agriculture International, 22(2), pp. 1-11. doi: 10.9734/JEAI/2018/40453. (Web Link)

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