Shelf-life estimation and quality of resistant bananas to black leaf streak disease during ripening

Filho, Francisco Oiram; Lopes, Mônica Maria de Almeida; Matias, M L; Braga, Thayane Rabelo; Aragão, F. A. S. de; Silveira, M. R. S. da; Oliveira, Milena Maria Milena Tomaz de; Silva, Ebenézer de Oliveira

doi:10.1016/j.scienta.2019.03.029

Cited by 8 publications

(3 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Several studies have investigated post‐harvest handling of bananas and plantains with the aim of reducing losses (Lo'ay & Dawood, 2017; Alali et al ., 2018; Liu et al ., 2019; Lo'ay & EL‐Khateeb, 2019; Khademi et al ., 2019; Al‐Qurashi & Awad, 2019). Other studies have focused on the acceptability, in terms of shelf‐life and post‐harvest quality (peel and pulp weight, soluble solids, sugars, starch), of bananas from genotypes screened for their tolerance to diseases, such as black Sigatoka (Oiram Filho et al ., 2019) and Fusarium wilt R1 and TR4 (Smith et al ., 2014). Fusarium wilt TR4 is a major concern in Colombia with the outbreak reported in the north of the country in August 2019.…”

Section: Introductionmentioning

confidence: 99%

Physicochemical and physiological changes during the ripening of Banana (Musaceae) fruit grown in Colombia

Moreno

Tran

Cantero-Tubilla

et al. 2020

Int J of Food Sci Tech

View full text Add to dashboard Cite

The physicochemical and physiological attributes of three contrasting commercial varieties of Musaceae, Dominico Harton (plantain), Guineo (cooking banana) and Gros Michel (dessert banana), were evaluated and statistically analysed during post-harvest ripening. Quality attributes differed markedly among varieties, both in fresh fruits and during ripening. Variety (V) had a significant effect (P < 0.001) on all attributes except total soluble solids (TSS), carotenes and total chlorophyll. Storage time (ST) had a significant effect on all attributes except colour parameter b* and total carotenes. Starch levels decreased significantly (P < 0.001) during ripening, with nearly complete hydrolysis in Gros Michel, followed by Guineo and Dominico Harton. Discriminant analysis showed that central diameter, TSS of the pulp, colour parameter a* and total starch had the highest weight in the differentiation among varieties. These results point out which parameters may help improve current methods for monitoring ripening of bananas, in particular the commercially important varieties in this study.

show abstract

Section: Introductionmentioning

confidence: 99%

Physicochemical and physiological changes during the ripening of Banana (Musaceae) fruit grown in Colombia

Moreno

Tran

Cantero-Tubilla

et al. 2020

Int J of Food Sci Tech

View full text Add to dashboard Cite

show abstract

“…The mechanism of BSD resistance in banana host is based on the interaction between the major locus (bs) carrying the recessive allele and at least two other genes (bsr) with additive effect ( Oiram Filho et al., 2019 ). These different loci express resistance genes, but their effect is strongly masked by the dominant genes encoding susceptibility in susceptible cultivars.…”

Section: Advances In Banana Conventional Breedingmentioning

confidence: 99%

Perspective for genomic-enabled prediction against black sigatoka disease and drought stress in polyploid species

Nkoulou

Ngalle²,

Cros³

et al. 2022

Front. Plant Sci.

View full text Add to dashboard Cite

Genomic selection (GS) in plant breeding is explored as a promising tool to solve the problems related to the biotic and abiotic threats. Polyploid plants like bananas (Musa spp.) face the problem of drought and black sigatoka disease (BSD) that restrict their production. The conventional plant breeding is experiencing difficulties, particularly phenotyping costs and long generation interval. To overcome these difficulties, GS in plant breeding is explored as an alternative with a great potential for reducing costs and time in selection process. So far, GS does not have the same success in polyploid plants as with diploid plants because of the complexity of their genome. In this review, we present the main constraints to the application of GS in polyploid plants and the prospects for overcoming these constraints. Particular emphasis is placed on breeding for BSD and drought—two major threats to banana production—used in this review as a model of polyploid plant. It emerges that the difficulty in obtaining markers of good quality in polyploids is the first challenge of GS on polyploid plants, because the main tools used were developed for diploid species. In addition to that, there is a big challenge of mastering genetic interactions such as dominance and epistasis effects as well as the genotype by environment interaction, which are very common in polyploid plants. To get around these challenges, we have presented bioinformatics tools, as well as artificial intelligence approaches, including machine learning. Furthermore, a scheme for applying GS to banana for BSD and drought has been proposed. This review is of paramount impact for breeding programs that seek to reduce the selection cycle of polyploids despite the complexity of their genome.

show abstract

“…Agrochemical-based control is also expensive (Churchill, 2011 ), with data indicating ~US$ 1,000/ha spent on disease control annually in large plantations, corresponding to up to 30% of the total production costs (Churchill, 2011 ; Alakonya et al, 2018 ). Another important factor to be considered with dependency on agrochemicals is the possible medium- and long-term selection for pathogen strains acquiring resistance to fungicides, potentially reducing effectiveness (Churchill, 2011 ; Chong, 2016 ; Friesen, 2016 ; Rodríguez-García et al, 2016 ; Oiram-Filho et al, 2019 ).…”

Section: Introductionmentioning

confidence: 99%

Genetic Improvement for Resistance to Black Sigatoka in Bananas: A Systematic Review

et al. 2021

View full text Add to dashboard Cite

Bananas are an important staple food crop in tropical and subtropical regions in Asia, sub-Saharan Africa, and Central and South America. The plant is affected by numerous diseases, with the fungal leaf disease black Sigatoka, caused by Mycosphaerella fijiensis Morelet [anamorph: Pseudocercospora fijiensis (Morelet) Deighton], considered one of the most economically important phytosanitary problem. Although the development of resistant cultivars is recognized as most effective method for long term control of the disease, the majority of today's cultivars are susceptible. In order to gain insights into this pathosystem, this first systematic literature review on the topic is presented. Utilizing six databases (PubMed Central, Web of Science, Google Academic, Springer, CAPES and Scopus Journals) searches were performed using pre-established inclusion and exclusion criteria. From a total of 3,070 published studies examined, 24 were relevant with regard to the Musa-P. fijiensis pathosystem. Relevant papers highlighted that resistant and susceptible cultivars clearly respond differently to infection by this pathogen. M. acuminata wild diploids such as Calcutta 4 and other diploid cultivars can harbor sources of resistance genes, serving as parentals for the generation of improved diploids and subsequent gene introgression in new cultivars. From the sequenced reference genome of Musa acuminata, although the function of many genes in the genome still require validation, on the basis of transcriptome, proteome and biochemical data, numerous candidate genes and molecules have been identified for further evaluation through genetic transformation and gene editing approaches. Genes identified in the resistance response have included those associated with jasmonic acid and ethylene signaling, transcription factors, phenylpropanoid pathways, antioxidants and pathogenesis-related proteins. Papers in this study also revealed gene-derived markers in Musa applicable for downstream application in marker assisted selection. The information gathered in this review furthers understanding of the immune response in Musa to the pathogen P. fijiensis and is relevant for genetic improvement programs for bananas and plantains for control of black Sigatoka.

show abstract

Shelf-life estimation and quality of resistant bananas to black leaf streak disease during ripening

Cited by 8 publications

References 25 publications

Physicochemical and physiological changes during the ripening of Banana (Musaceae) fruit grown in Colombia

Physicochemical and physiological changes during the ripening of Banana (Musaceae) fruit grown in Colombia

Perspective for genomic-enabled prediction against black sigatoka disease and drought stress in polyploid species

Genetic Improvement for Resistance to Black Sigatoka in Bananas: A Systematic Review

Contact Info

Product

Resources

About