Daniela Ivana Paiva

Dr. Daniela Ivana Paiva

orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 January 2020 in Anais da Academia Brasileira de Ciências
Verified
Journal Article
Open access
PDF file
DPDaniela Ivana Paiva
Daniela Ivana Paiva
JCJimena Cascales
Jimena Cascales
MRMaría Eva Natalia Rosetti
María Eva Natalia Rosetti
RSRafael Alejandro Scherer
Rafael Alejandro Scherer
MGMaría Elena Gauchat
María Elena Gauchat
AGAlexandra Gottlieb
Alexandra Gottlieb
INTRODUCTION

23 March 2021 in Journal of Plant Research
Verified
Journal Article
Closed access
PDF file
JCJimena Cascales
Jimena Cascales
RARaúl Maximiliano Acevedo
Raúl Maximiliano Acevedo
DPDaniela Ivana Paiva
Daniela Ivana Paiva
AGAlexandra Gottlieb
Alexandra Gottlieb

14 September 2024 in Plants
Verified
Journal Article
Open access
PDF file
JMJOSÉ ARIMATÉIA RABELO MACHADO
JOSÉ ARIMATÉIA RABELO MACHADO
MFMiguel Luiz Luiz Luiz Luiz Menezes Freitas
Miguel Luiz Luiz Luiz Luiz Menezes Freitas
DPDaniela Ivana Paiva
Daniela Ivana Paiva
BSBruno Marchetti de Souza
Bruno Marchetti de Souza
VSValderês Aparecida De Sousa
Valderês Aparecida De Sousa
AAAnanda Virgínia De Aguiar
Ananda Virgínia De Aguiar
Araucaria angustifolia is a species known for its valuable wood and nuts, but it is threatened with extinction. The plantation of forests for genetic resource conservation is a complementary strategy designed to reduce the species’ genetic variability loss. This study aimed to evaluate the technical and economic viability of A. angustifolia for genetic conservation through use. The analyzed provenance and progeny trial was established in 1982 in Itapeva, Brazil. It was structured using a compact family blocks design with 110 open-pollinated progenies from five natural populations, three replicates, ten plants per subplot, and 3.0 m × 2.0 m spacing. After 33 years, the trial was evaluated for total height, diameter at breast height, wood volume, and survival. The variance components and genetic parameter estimates were performed using Restricted Maximum Likelihood/Best Linear Unbiased Prediction methods (REML/BLUP) methods with the Selegen software (version 2014). The production and management scenarios were obtained using the SisAraucaria software (version 2003). Sensitivity analysis and economic parameter estimates were obtained through various economic evaluation methods using the Planin software (version 1995). In general, the genetic parameters indicated that the population has enough variability for both conservation and breeding purposes, suggesting technical viability for the establishment of a seed orchard. The economic parameters indicated that the commercialization of wood and araucaria nuts proved to be more profitable than wood production by itself. In conclusion, araucaria genetic conservation through use is a technically and economically viable ex situ conservation strategy.

12 February 2025 in Ecological Management & Restoration
Verified
Journal Article
Closed access
DPDaniela Ivana Paiva
Daniela Ivana Paiva
ABAlison Paulo Bernardi
Alison Paulo Bernardi
MLMiguel Busarello Lauterjung
Miguel Busarello Lauterjung
SRSaimom Poczapski Noro Ribeiro
Saimom Poczapski Noro Ribeiro
GSGiulia Fabrin Scussel
Giulia Fabrin Scussel
TMTiago Montagna
Tiago Montagna