Caracterização agronômica e pós-colheita das bananeiras 'Maravilha' e 'Preciosa' no Submédio do Vale São Francisco

Silva, Marlon Jocimar Rodrigues da; Jesus, Paulo Ricardo Rodrigues de; Anjos, João Marcos Chagas dos; Machado, Marilza; Ribeiro, Valtemir Gonçalves

doi:10.1590/0034-737x201663010007

Cited by 7 publications

(9 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The low genetic variability of an agricultural crop poses an imminent risk, either due to the lack of new cultivars or to its decimation by pests, as occurred with export Latin American banana farming based solely on Gros Michel cultivar susceptible to Panama disease (PLOETZ, 2015). Currently, the same banana crop experiences similar risk, because it is based only on the Cavendish subgroup (SILVA et al, 2016;PLOETZ, 2015). In Brazil, despite the greater diversity of cultivars in use such as 'Prata ', 'Nanica', 'Maçã' and 'Terra' (LÉDO et al, 2018), a similar fact occurs to Maçã and Prata-Anã cultivars due to their susceptibility to Panama disease.…”

Section: Introductionmentioning

confidence: 99%

Experimental planning for the evaluation of phenotipic descriptors in banana

et al. 2018

View full text Add to dashboard Cite

This work aimed to subsidize experimental planning for the evaluation of phenotypic characters in banana. The experiment consisted of a uniformity trial with Tropical cultivar spaced of 3 m x 2 m, in a useful area with nine rows of 40 plants. Vegetative and yield aspects were evaluated in two production cycles. Plants and basic units (UB) were combined to form various plot sizes, from which the variation coefficient and the soil heterogeneity index were estimated. To define the experimental design, the Hatheway method was used. Variability, resulting from the soil anisotropy and other factors such as desuckering cultural practice increases between mother plant and daughter plant cycles, with effects on experimental design. The variation coefficient and number of replicates are the factors that most influenced the experimental design. For the same precision level required, the combination that maximizes efficient in the use of experimental area can be adopted, that is, smaller plot size and higher number of replicates or larger plot size and fewer replicates. Estimates of plot size and number of replicates are subsides for the design of experiments for the evaluation of phenotypic descriptors in banana.

show abstract

Section: Introductionmentioning

confidence: 99%

Experimental planning for the evaluation of phenotipic descriptors in banana

et al. 2018

View full text Add to dashboard Cite

show abstract

“…The experimental design employed was the completely randomized type (CRD), in a 5x5 factorial scheme, with five bunch ages (16,17,18,19 and 20 weeks after inflorescence emission) and 5 assessment periods (1, 3, 5, 7 and 9 days after storage). Four repeats were used, and the experimental unit was composed of four fruits.…”

Section: Experimental Design and Statistical Analysesmentioning

confidence: 99%

Influence of Different ‘Prata-Anã’ Banana Bunch Ages on Post-Harvest Quality

Queiroz

Jesus

Aguiar

et al. 2019

JEAI

View full text Add to dashboard Cite

Objective: To determine the ideal harvest season of ‘Prata-Anã’ banana bunches by means of physical and chemical analyses of fruit cultivation conditions in the northern state of Minas Gerais. Study Design: The employed experimental design was the completely randomized design was used in a 5x5 factorial scheme, with five bunch ages and five assessment days. Study Location and Duration: The experiment was run in an area with banana trees planted 20 months beforehand, located at Unimontes’s Experimental Farm, at 530 m of altitude, with coordinates being -15°43’46.99” south latitude and -43°19’17.61”west longitude, between April and November 2017. Methodology: The bananas bunches the were marked weekly from April 14 to May 12, and week days were standardized for each marking. Five bunch ages were defined – 16, 17, 18, 19 and 20 weeks after inflorescence emission – for harvest. For differentiation of emerged bunches, tapes of different color were used. When the bunches marked in the first week completed 20 weeks, all bunches were harvested, which happened on September 1. After harvested the fruits were subjected to storage in refrigerated chamber at 10°C ± 1°C and relative humidity of 90% +5% for 25 days. After being stored for 25 days, the bananas were taken out of the chamber and exposed to a room temperature of 25°C, which analyzes were performed for 9 days, with a two-day interval in between, simulating the marketing period. The following analyses were carried out: Firmness, peel color, soluble solids, pH, titratable acidity, amide, total sugars, reducing sugars and electrolyte extravasation. Results: Lower hue, chroma, soluble solids, titratable acidity, total sugar, reducing sugar and electrolyte extravasation values were found for bananas harvested at 16 weeks. Conclusion: Bunch harvest age had a direct influence on post-harvest quality of bananas ‘Prata-Anã’. Fruits from 16-week bunches were superior in physical and chemical characteristics compared to other ages, meaning a longer post-harvest life.

show abstract

“…Genotypes of the breeding program need to be characterized and evaluated in different production soil, and climate conditions (Silva et al 2016), which is relevant for evaluating agronomic characteristics, and for allowing the identification of promising cultivars for inclusion in breeding programs or technical indication to producers. Thus, several studies have been carried out on different soils and climates (Silva et al, 2006, Pimentel et al, 2010, Marques et al 2011, Borges et al, 2011and 2014, Ribeiro et al, 2012, Mendonça et al, 2013.…”

Section: Introdutionmentioning

confidence: 99%

Selection index via REML/BLUP for identifying superior banana genotypes in the central region of Goiás state, Brazil

et al. 2019

View full text Add to dashboard Cite

This study had the aim of evaluating 15 agronomic characters of 23 banana genotypes of the Cavendish, Prata, Prata-Anã, Pacovan, Mysore and Maçã groups, in three production cycles, in the climatic conditions of the central region of Goiás state, Brazil, identifying superior cultivars. The treatments were arranged in a completely randomized design, with replicates varying from 3 to 18 clones according to the availability of seedlings. Because of the unbalanced data, the components of variance were estimated using the mixed model methodology. In order to identify the superior genotypes, the predicted mean genotypic values were taken into account. The FHIA-02 (Cavendish group), PA42-44 (Prata Anã group) and FHIA-18 (Prata Anã group) genotypes presented the highest flowering precocity. The Bucanero, FHIA-17 (Cavendish group) and Grande Naine genotypes were the most productive. The Grande Naine, FHIA-17 and FHIA-02 genotypes presented the lowest sizes, and the FHIA-17, Bucanero and PV79-34 (Hybrid Pacovan) genotypes the largest pseudo stems circumferences. The genotypes with the lowest mortality rates were the Pacovan, Garantida (group Prata) and Calipso. Based on the multi-trait selection index, it was concluded that the FHIA-17, Grande Naine, Bucanero, and FHIA-02 genotypes were the most promising cultivars for production in the central region of Goiás due to their agronomic characters and high yield.

show abstract

Caracterização agronômica e pós-colheita das bananeiras 'Maravilha' e 'Preciosa' no Submédio do Vale São Francisco

Cited by 7 publications

References 25 publications

Experimental planning for the evaluation of phenotipic descriptors in banana

Experimental planning for the evaluation of phenotipic descriptors in banana

Influence of Different ‘Prata-Anã’ Banana Bunch Ages on Post-Harvest Quality

Selection index via REML/BLUP for identifying superior banana genotypes in the central region of Goiás state, Brazil

Contact Info

Product

Resources

About