&lt;b&gt;Prediction of genetic gains by selection indexes and REML/BLUP methodology in a population of sour passion fruit under recurrent selection

Silva, Fernando Higino de Lima e; Viana, Alexandre Pío; Santos, Eileen Azevedo; Freitas, Jôsie Cloviane de Oliveira; Rodrigues, Daniele Lima

doi:10.4025/actasciagron.v39i2.32554

Cited by 34 publications

(23 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…solution vector, by the REML/BLUP. This corrects the values of environmental effects, predicting the genotypic values in a precise and nonbiased manner, which leads to a maximizing of the genetic gains with the selection (Freitas et al, 2013;Rodrigues et al, 2013;Silva et al, 2017;Gomes et al, 2018). By the REML/BLUP method, the estimates of the overall mean (u) of the experiment were: SEYIELD (14,670.92 kg ha -1 ); CEYIELD (5,314.96 kg ha -1 ); MASS (130.77 g); EL (18.05 cm;ED (4.61 cm); and NER (15.04 rows).…”

Section: Resultsmentioning

confidence: 99%

Selection indexes in the simultaneous increment of yield components in topcross hybrids of green maize

Candido

Silva

Costa

et al. 2020

Pesq. agropec. bras.

View full text Add to dashboard Cite

The objective of this work was to define the most suitable selective strategy for the simultaneous increment of yield components of green maize, by comparing three selection indexes weighted by economic weights and by the REML/BLUP method, in the assessment of predicted genetic gains for traits of interest. An experiment with 75 topcross hybrids from partially inbred S1 lines of green maize was carried out in Jataí, in the state of Goiás, Brazil, using a randomized complete block design, with four replicates. The following yield traits were evaluated: straw ears and commercial ears, grain mass, ear length, ear diameter, and number of ear rows. The selection indexes of Smith and Hazel, Williams, and Mulamba & Mock were applied and weighted for four economic weights (1, CVg, CVg/CVe, and h2). Among the tested selection indexes, those of Williams and Mulamba & Mock are the best-fit ones for the selection of topcross hybrids of green maize, as they provide positive and more balanced selection gains for all evaluated traits. The REML/BLUP method shows better predicted genetic gains than those achieved by the three selection indexes, besides being efficient for the selection of topcross hybrids of green maize.

show abstract

Section: Resultsmentioning

confidence: 99%

Selection indexes in the simultaneous increment of yield components in topcross hybrids of green maize

Candido

Silva

Costa

et al. 2020

Pesq. agropec. bras.

View full text Add to dashboard Cite

show abstract

“…Because of its economic importance, P. edulis has been included in breeding programs in Brazil and Australia to develop more productive cultivars and improve fruit quality and adaptation to different edaphoclimatic conditions (Tal et al, 2016;Bundock, 2017;Cavalcante et al, 2017;McCarthy and Dick, 2017;Silva et al, 2017). However, seed quality has received little attention in these programs, despite the importance of the seeds for the success of the establishment and production of passion fruit crops (Ocampo et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Research Article Digital image analysis to quantify genetic divergence in passion fruit (<i>Passiflora</i> <i>edulis</i>) seeds

Fachi¹,

Krause²,

Vieira³

et al. 2019

Genet. Mol. Res.

View full text Add to dashboard Cite

Passion fruit is a native fruit of tropical America, with Brazil being the world's leading producer and consumer of this fruit, with an estimated annual production of 554,598 Mg, and yield of 13,500 kg.ha-1 Phenotyping through digital images has been used to evaluate morphological characteristics of seeds. Knowledge of the degree of genetic divergence plays an important role, as it assists in the adoption of appropriate strategies for improvement in passion fruit populations.. The objective of this work was to estimate the genetic divergence among full-sibling families of passion fruit through morphophysiological characteristics of seeds using the Ward-Modified Location Model (Ward-MLM) method. Seeds of 98 full-sibling families (FSF) of passion fruit from the breeding program of the Mato Grosso State University were evaluated considering physiological descriptors of seeds, using germination and vigor tests; and morphological descriptors of seeds, using a digital imaging seed analysis device and software. We found that the Ward-MLM method was efficient in detecting genetic divergence using seed morphological and physiological descriptors, simultaneously. The descriptors that contributed the most to the genetic divergence among ©FUNPEC-RP www.funpecrp.com.br Genetics and Molecular Research 18 (3): gmr18331 L.R. Fachi et al. 2 FSF were those related to seed geometry. This method formed three heterotic groups. Group II had the largest mean emergence speed index (1.106) and seedling emergence percentage (65.8%), and Group III had the largest means of seedling dry weight (4.140 g), radicle length (6.30 mm), germination speed index (2.503), and seed germination percentage (90 %). We conclude that crosses between FSF groups II and III are a good option to improve seed characteristics.

show abstract

“…According to Martins et al (2003), DF and LF are strongly correlated with each other and with TS, but no correlation with YP were found, indicating that larger fruits in P. alata populations do not necessarily have higher pulp content. For P. edulis, there are several reports of negative correlations between TS and WF, WP, DF, LF, number of fruits and Yield (Moraes et al, 2005;Oliveira et al, 2011;Silva et al, 2017;Viana et al, 2017) enabling breeders to successfully select against TS.…”

Section: Discussionmentioning

confidence: 99%

Improving yield and fruit quality traits in sweet passion fruit: evidence for genotype by environment interaction and cross-compatibility in selected genotypes

Chavarría-Perez

Giordani

Dias

et al. 2019

Preprint

View full text Add to dashboard Cite

Breeding for yield and fruit quality traits in passion fruits is complex due to the polygenic nature of these traits and the existence of genetic correlations among them. Therefore, studies focused on crop management practices and breeding using modern quantitative genetic approaches are still needed, especially for Passiflora alata, an understudied crop, popular known as the sweet passion fruit. It is assumed to be a self-incompatible species and is highly appreciated for its typical aroma and flavor characteristics. With the aim of estimating the genetic and phenotypic parameters related to fruit traits, our group has already investigated a sweet passion fruit progeny consisting of 100 individuals from which 30 genotypes were selected. In this study, we reevaluated these superior genotypes in three environmental conditions. The results of the multi-environment trial analysis indicate that the genotypes do not behave consistently across these environments, and this was taken into account when selecting genotypes. Pairwise genetic correlations among the fruit traits were evaluated, and different genotype rankings obtained depending on the trait and environment, providing further evidence of genotype by environment interaction. Finally, we used a multiplicative selection index to select 20% of genotypes for weight of pulp and against thickness and weight of the fruit skin. The response to selection was positive for all traits except soluble solids, and the superior (six) genotypes were ranked. The consensus is that open-pollinated populations can be used as commercial varieties in crop species that are sensitive to inbreeding depression or within breeding programs that are not well developed. For these reasons, we performed a complete diallel cross for evaluating the capability of the selected genotypes to be fertilized and set fruits. Most of the crosses were compatible, resulting in over 50% fruit set. It is worth noting that all genotypes produce fruits if used as females, which is essential to guarantee yields in commercial orchards.

show abstract

<b>Prediction of genetic gains by selection indexes and REML/BLUP methodology in a population of sour passion fruit under recurrent selection

Cited by 34 publications

References 18 publications

Selection indexes in the simultaneous increment of yield components in topcross hybrids of green maize

Selection indexes in the simultaneous increment of yield components in topcross hybrids of green maize

Research Article Digital image analysis to quantify genetic divergence in passion fruit (<i>Passiflora</i> <i>edulis</i>) seeds

Improving yield and fruit quality traits in sweet passion fruit: evidence for genotype by environment interaction and cross-compatibility in selected genotypes

Contact Info

Product

Resources

About