Prediction of Flower Emergence and Evaluation of Cropping Potential in Selected Banana Cultivars (Musa sp.) Cultivated in Subtropical Conditions of Coastal Alabama

Vinson, Edgar; Coneva, Elina D.; Kemble, Joseph M.; Woods, Floyd M.; Sibley, Jeff L.; Fonsah, Esendugue Greg; Perkins-Veazie, P.; Kessler, J. Raymond

doi:10.21273/hortsci13290-18

Cited by 5 publications

(6 citation statements)

References 27 publications

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“…The number of ngers per midhand of the bunch ranged from ≤ 12 to ≥ 17 in the present study. However, Vinson et al (2018) reported means ranging from 11.7 to 17.7 for ngers per hand, while Oselebe et al (2018) reported a mean number of ngers ranging from 9.00 to 13.00 with a mean fruit length ranging from 14.60 cm to 21.20 cm, which is smaller than the fruit length range reported in the present work (15 cm ≤ fruit length ≥ 31 cm). Soares et al (2012) reported a positive correlation between fruit length and bunch weight.…”

Section: Genetic Dissimilarity Analysiscontrasting

confidence: 93%

Morphological characterization and genetic diversity assessment of accessions of Musa spp

Ukwueze,

Oselebe,

Igwe

et al. 2024

Preprint

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Characterization of Musa spp is highly relevant to the development of effective Musa breeding programs, especially because crop productivity and yields are highly important for preventing hunger and food insecurity. This work aimed to characterize and determine the genomic constitutions of the Musa accessions established from the Ebonyi State University Abakaliki Musa germplasm. Ten start codon targeted (SCoT) polymorphic markers were employed for the genotyping of eleven accessions. The accessions were classified by assessing the expression of each of the 26 characters by assigning a score ranging from 1 to 5, where a score of 1 indicated close proximity to wild acuminata and 5 indicated wild balbisiana expression. For molecular analysis, a modified CTAB method was used for DNA extraction, and a total of ten polymorphic SCoT markers were used for genetic diversity assessment. The morphological results showed that the plantain genotypes considered were hybrids of banana and plantain, with the majority of the genotypes being classified as diploid, while Agbagba, Efolred, SH3436, Calcutta 4, and PITA 14 were triploid with two chromosome sets comprising banana origin. A total of 86 alleles with an average of 8.81 alleles per locus were observed in the accessions. Calcutta 4 scored higher on measures of diversity indices, with high similarity being observed among the eleven accessions of Musa spp. The dendrogram revealed five major clusters at a similarity index distance of 0.7400. This similarity observed among the accessions indicates that they are closely related and may have a recent common ancestor.

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Section: Genetic Dissimilarity Analysiscontrasting

confidence: 93%

Morphological characterization and genetic diversity assessment of accessions of Musa spp

Ukwueze,

Oselebe,

Igwe

et al. 2024

Preprint

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“…These results are consistent with the research of Ortiz et al (2013), in which cytokinin applications generated a faster growth in Musa sp. In banana, the pseudostem diameter and heightto-circumference ratio (HCR) for tall cultivars as well as HCR for medium-height cultivars are known as good predictors of inflorescence emergence since these variables have exhibited linear or quadratic relationships with the number of days from planting to inflorescence emergence (Vinson et al, 2018).…”

Section: Plant Heightmentioning

confidence: 99%

Effect of trans-zeatin riboside application on growth of banana (Musa AAA Simmonds) cv. Williams in the juvenile phase

Schiller

Magnitskiy

2019

Rev. Colomb. Cienc. Hortic.

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Cytokinins are physiologically active adenine derivatives that are vital to the regulation of various developmental processes in plants, such as vegetative growth and flower induction. The objective of this study was to understand how the application of cytokinin trans-zeatin riboside affects growth in banana (Musa AAA Simmonds) cv. Williams plants during the vegetative phase on two farms located in the production zone of the Magdalena province, Colombia. The effect of trans-zeatin riboside applications at doses of 0.00, 0.05, 0.25, or 0.45 mg L-1 via foliar spraying was evaluated, with 15 days between the applications, starting with transplant to the field and lasting until 10 weeks of growth. The treatment 0.05 mg L-1 of cytokinin resulted in increases in the plant growth variables, such as height in V, pseudostem diameter, leaf width, and leaf area.

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“…Vinson et al . (2018) developed a regression model to determine flower emergence and to assess vegetative and reproductive growth of Cavendish and non-Cavendish banana using the circumference of pseudostem (CM), the height-to-circumference ratio (HCR), and the number of days from planting to inflorescence emergence (DPE). Separate models were developed to predict leaf area of medium and tall banana varieties using regression models.…”

Section: Resultsmentioning

confidence: 99%

“…Our review explicated that most of the developed models are linear. Many authors have developed simple linear and/or MLR equations to estimate banana productivity (Potdar and Pawar, 1991; Wairegi et al ., 2009; Zucoloto et al ., 2013; Alcudia-Aguilar et al ., 2019; Olivares et al ., 2020), and growth (Potdar and Pawar, 1991; Demirsoy, 2009; Nyombi, 2010; Vinson et al ., 2018; Donato et al ., 2020). In all these models, the growth and yield of bananas have been modelled as a function of either plant characteristics or weather, soil, and/or management practices by integrating agronomic knowledge.…”

Section: Discussionmentioning

confidence: 99%

Growth and yield estimation of banana through mathematical modelling: a systematic review

et al. 2022

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Banana is one of the main fruit crops in the world as it is a rich source of nutrients and has recently become popular for its fibre, particularly as a raw material in many industries. Mathematical models are crucial for strategic and forecasting applications; however, models related to the banana crop are less common, and reviews on previous modelling efforts are scarce, emphasizing the need for evidence-based studies on this topic. Therefore, we reviewed 75 full-text articles published between 1985 and 2021 for information on mathematical models related to banana growth and, fruit and fibre yield. We analysed results in order to provide a descriptive synthesis of selected studies. According to the co-occurrence analysis, most studies were conducted on the mathematical modelling of banana fruit production. Modellers often used multiple linear regression models to estimate banana plant growth and fruit yield. Existing models incorporate a range of predictor variables, growth conditions, varieties, modelling approaches and evaluation methods, which limits comparative evaluation and selection of the best model. However, the banana process-based simulation model ‘SIMBA’ and artificial neural network have proven their robust applicability to estimate banana plant growth. This review shows that there is insufficient information on mathematical models related to banana fibre yield. This review could aid stakeholders in identifying the strengths and limitations of existing models, as well as providing insight on how to build novel and reliable banana crop-related mathematical models.

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Prediction of Flower Emergence and Evaluation of Cropping Potential in Selected Banana Cultivars (Musa sp.) Cultivated in Subtropical Conditions of Coastal Alabama

Cited by 5 publications

References 27 publications

Morphological characterization and genetic diversity assessment of accessions of Musa spp

Morphological characterization and genetic diversity assessment of accessions of Musa spp

Effect of trans-zeatin riboside application on growth of banana (Musa AAA Simmonds) cv. Williams in the juvenile phase

Growth and yield estimation of banana through mathematical modelling: a systematic review

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