Marcadores moleculares e descritores morfo-agronômicos na avaliação da diversidade genética de bucha(Luffa cylindrica)

Blind, Ariel Dotto; Almeida, Fabiola Viana Almeida; Valente, Marco; Neto, Pedro de Queiroz Costa; Lopes, Maria Teresa Gomes; Filho, Danilo Fernandes Silva

doi:10.5747/ca.2020.v16.n1.a349

Cited by 3 publications

(1 citation statement)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Based on morphological and molecular characteristics, the genetic diversity of populations has been quantified using multivariate analysis techniques [22][23][24][25]. In small populations, selection pressure can change the genetic diversity of the population by causing the loss of critical alleles [26].…”

Section: Discussionmentioning

confidence: 99%

Maintaining and Improving Peas (Pisum sativum L.) CV. Master Pea (Local Cultivar) Using UPOV Descriptor and Multivariate Analysis in the Vegetable Seed Production Field

Hamed

Amal

Tarek

2023

JEAI

View full text Add to dashboard Cite

Although peas cv. master pea was registered more than 25 years ago in Egypt, this variety showed a remarkable superiority over the varieties grown in all governorates of Egypt in terms of production, quality, and environmental adaptation to climate changes. This study intends to assess this cultivar's genetic and environmental traits, and to determine the degree of its deterioration over time to develop an appropriate plan for the maintenance, improvement, and conservation of this strategic variety to withstand changes in climatic conditions in Egypt. Many types of research have been conducted on the study and production of new varieties and lines of peas in Egypt; yet there is a dearth of multivariate analysis as a technique that can combine all variances for all examined qualities using statistics that rely on the algebra of matrices and extract statistical markers from which the researcher can make an appropriate selection program within cultivars without causing genetic erosion. The present experiment was conducted to achieve the following objectives: to monitor the performance of growth traits in the Master pea cultivar using multivariate analysis and UPOV descriptor; evaluation of yield characteristics, seed yield, and quality of Master pea cultivar using multivariate analysis and UPOV descriptor. In this study, one of the most important results obtained was that the phenotypic diversity within the population (measured using the UPOV descriptor) is an important aspect that reflects genetic diversity and the ability of this genetic diversity to withstand changes in the environment. Natural selection - over the many years of the inherited varieties of countries and societies - affects the diversity of phenotypic traits among the individuals of the population. It can be concluded from this study that the phenotypic traits identified in the UPOV descriptor and data analysis using multivariate analysis can show differences between lines within cultivars. Therefore, we recommend taking advantage of the UPOV descriptor and multivariate analysis as a successful way to obtain differences and relationships between lines in conservation, maintenance, and improvement programs for ancient and promising cultivars in the Arab Republic of Egypt.

show abstract

Section: Discussionmentioning

confidence: 99%

Maintaining and Improving Peas (Pisum sativum L.) CV. Master Pea (Local Cultivar) Using UPOV Descriptor and Multivariate Analysis in the Vegetable Seed Production Field

Hamed

Amal

Tarek

2023

JEAI

View full text Add to dashboard Cite

show abstract

Multivariate analysis to quantify genetic diversity and family selection in sour passion fruit under recurrent selection

et al. 2021

View full text Add to dashboard Cite

Frequentist and Bayesian inference for gas exchanges of drip-irrigated bell pepper1

Santos

Rezende

Wenneck

et al. 2021

Pesqui. Agropecu. Trop.

View full text Add to dashboard Cite

The water deficit or excess may cause undesirable changes in yield and physiological aspects of irrigated crops. Considering the analysis of experimental data, the use of classical statistical methods may not be sufficient to detect morphological and physiological effects resulting from the conditions employed, being interesting the use of new procedures, such as the Bayesian inference. This study aimed to evaluate the gas exchanges in the bell pepper crop under irrigation depths and different irrigation times, in a protected environment, by applying the parametric and Bayesian methods. The experiment was conducted in a completely randomized design, arranged in a 5 x 2 factorial scheme, with five irrigation depths (60, 80, 100, 120 and 140 % of the crop evapotranspiration) and two irrigation times (8 a.m. and 2 p.m.), with five replications. The stomatal conductance, transpiration rate, photosynthetic rate, intrinsic water-use efficiency, ratio between the photosynthetic rate and the transpiration rate, and total dry matter were evaluated. The gas exchanges were affected by water replacement depths, with little interference from the irrigation times. The linear regression models, according to the irrigation depths, for transpiration rate, stomatal conductance and total dry matter were significant for both the statistical methods, suggesting that the results are similar and even coincident, especially when a priori information are not provided in the Bayesian analysis. Differences in the photosynthetic rate were observed only with the Bayesian method, adjusting linear models according to the irrigation depths, in both the irrigation times.

show abstract

Marcadores moleculares e descritores morfo-agronômicos na avaliação da diversidade genética de bucha(Luffa cylindrica)

Cited by 3 publications

References 16 publications

Maintaining and Improving Peas (Pisum sativum L.) CV. Master Pea (Local Cultivar) Using UPOV Descriptor and Multivariate Analysis in the Vegetable Seed Production Field

Maintaining and Improving Peas (Pisum sativum L.) CV. Master Pea (Local Cultivar) Using UPOV Descriptor and Multivariate Analysis in the Vegetable Seed Production Field

Multivariate analysis to quantify genetic diversity and family selection in sour passion fruit under recurrent selection

Frequentist and Bayesian inference for gas exchanges of drip-irrigated bell pepper1

Contact Info

Product

Resources

About