Path analysis of phenotypic traits in young cacao plants under drought conditions

Santos, Emerson Alves dos; Almeida, Alex-Alan Furtado de; Branco, Márcia Christina da Silva; Santos, Ivanildes Conceição dos; Ahnert, Dário; Baligar, V. C.; Valle, R. R.

doi:10.1371/journal.pone.0191847

Cited by 17 publications

(16 citation statements)

References 34 publications

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“…In plant breeding, sufficient genetic variation is a condition for the selection of agronomically desirable genotypes, especially of traits highly correlated with each other and with yield (Khan et al, 2017). Thus, in the selection process, it is important to knowledge about the relationships between characteristics of interest, which can be done by determining the correlations between phenotypic characters (Santos et al, 2018). Sultana et al (2015) affirm that the path analysis for supporting the development of varieties allows determining the direct and indirect effects of physical characteristics of fruits with the yield.…”

Section: Introductionmentioning

confidence: 99%

Correlations between fruit yield and sensory and nutritional quality of pumpkin (Cucurbita moschata Duch.)

2019

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Traits related to fruit yield and physical and chemical fruit quality are being evaluated by Embrapa pumpkin breeding program. Path and Pearson's correlation analysis are necessary to allow the knowledge of the relation between the variables of interest for this program. The objective of the present study was to determine the genetic correlations between yield- and sensorial and nutritional quality attributes-associated variables in pumpkin progenies to support the selection process. Twelve genotypes were evaluated for 10 yield-related traits, and 8 sensory and nutritional quality traits of fruit, including the commercial cultivar Jacarezinho. A path analysis considered the fruit weight (FrW) was as basic variable and the others as explanatory. The FrW had 98% of its total variation available in a function of the explanatory variables. The highest variations were observed in the fruit-shape related traits. In addition, the variables internal median cavity diameter (IDmed), equatorial pulp thickness (EPT), apical pulp thickness (APT), and smallest fruit diameter (Dsm) are indicated for a direct selection of progenies targeting a higher FrW. The correlation analysis highlighted that color-related variables have the possibility of indirect selection aiming to increase total carotenoid content (TCC) and β-carotene content (β-car). The evaluated progenies showed notable soluble solids content (SSC), TCC and β-car contents compared to the commercial cultivar. Furthermore, the contribution of β-car to TCC is at least 50% higher in these progenies than in 'Jacarezinho' pumpkin.

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Section: Introductionmentioning

confidence: 99%

Correlations between fruit yield and sensory and nutritional quality of pumpkin (Cucurbita moschata Duch.)

2019

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“…Positive correlation indicates increasing of value in some characters will followed increasing of value in other related characters. Refer to Santos et al (2018), leaf area has positive correlation to biomass characters. This result was related to positive correlation of root volume to biomass related characters.…”

Section: Pelita Perkebunan Volume 35 Number 3 December 2019 Editionmentioning

confidence: 97%

“…Correlation had related to sink and source of plant mechanism. Plant in drought condition will optimize sink and source to maintain of photoassimilate and related to adaptability response by physiological and morphological mechanism (Santos et al, 2018).…”

Section: Pelita Perkebunan Volume 35 Number 3 December 2019 Editionmentioning

confidence: 99%

Seedling Performance of Cocoa Genotypes (Theobroma cacao L.) in Drought Stress Condition.

Susilo

Sobir²,

Wuriandani³

et al. 2019

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Drought stress can affect changes in physiological, morphological, biochemical,and molecular of plant. Plant in drought stress showed slower growthand development than in normal condition. This research aimed to determine the response of cocoa genotypes in seedling phase to drought stress in morphological and stomata character. This research conducted with split-plot design with main plot were water regimes (25% and 100% available water content). Eleven genotypes were used in this research consisted of six genotypes crosses and five genotypes parents. Variables observed were stem diameter, root volume, root length, leaf area, shoot fresh weight, root fresh weight, shoot dry weight, root dry weight, root/shoot ratio, and stomatal conductance. Drought stress decreased values associated with all observed morphological characters and stomata characters. Root/shoot ratio and stomatal conductance can be used to determine genotype with tolerance to drought. Sulawesi 3 x ICCRI 09 showed heighest in root/shoot ratio and stomatal conductance. Sulawesi 3 x ICCRI 09 can be used as candidate of plant material tolerant to drought.

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“…Olivoto, Nardino, et al, 2017; T. Olivoto, Souza, et al, 2017; Ferrari et al, 2018; Santos et al, 2018; Fonseca, Lima, Dardengo, Silva, & Xavier, 2019; Gediya et al, 2019; Lopes Costa, Melo, & Oliveira Mano, 2019); thus, any tool that facilitates this work is welcome. provides useful functions for implementing biometrical models easily.…”

Section: The Packagementioning

confidence: 99%

“…Since was conceived for multi-environment trial analysis, the function can be used to pass grouped data allowing, for example, that a path analysis or a canonical correlation be computed within each level of a factor, as shown in Santos et al (2018). For more details, please, refer to Appendix S1, item 7.…”

Section: The Packagementioning

confidence: 99%

metan: an R package for multi-environment trial analysis

Olivoto

Lúcio

2020

Preprint

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10 1. Multi-environment trials (MET) are crucial steps in plant breeding programs that aim 11 increasing crop productivity to ensure global food security. The analysis of MET data 12 requires the combination of several approaches including data manipulation, visualization, 13 and modeling. As new methods are proposed, analyzing MET data correctly and 14 completely remains a challenge, often intractable with existing tools. 15 2. Here we describe the metan R package, a collection of functions that implement a 16 workflow-based approach to (a) check, manipulate and summarise typical MET data; (b) 17 analyze individual environments using both fixed and mixed-effect models; (c) compute 18 parametric and non-parametric stability statistics; (c) implement biometrical models 19 widely used in MET analysis; and (d) plot typical MET data quickly.203. In this paper, we present a summary of the functions implemented in metan and how 21 they integrate into a workflow to explore and analyze MET data. We guide the user 22 along a gentle learning curve and show how adding only a few commands or options at 23 a time, powerfull analyzes can be implemented. 24 4. metan offers a flexible, intuitive, and richly documented working environment with tools 25 that will facilitate the implementation of a complete analysis of MET data sets. 26 Key-words: AMMI, biometry, genotype-environment interaction, GGE biplot, multi-27 environment trials, R software, stability, statistics 28 29In 50 years the world average of cereal yields has increased by 64%, from 1.68 to 30 2.76 t ha −1 . In the same period, the total production of cereals has raised from 1.305 × 10 9 to 31 3.6 × 10 9 t, an increase of 175%, while the cultivated area increased by only 7.9% in the same 32 period (FAOSTAT, 2019). These unparallel increases have been possible due to the improved 33 cultivation techniques in combination with superior cultivars. For maize, for example, 50% 34 of the increase in yield was due to breeding (Duvick, 2005). Plant breeding programs have 35 been developing new cultivars for adaptation to new locations, management practices, or 36 growing conditions, in a clear and crucial example of exploitation of genotype-vs-environment 37 interaction (GEI). 38The breeders' desire to modeling the GEI appropriately has led to the development of 39 the so-called stability analyses, which includes ANOVA-based methods (Yates ) and some methods that combines 43 different statistical techniques, such as the Additive Main Effect and Multiplicative Interaction, 44 AMMI, (Gauch, 2013), and Genotype plus Genotype-vs-Environment interaction, GGE, (Yan 45 & Kang, 2003). Then, it is no surprise that scientific production related to multi-environment 46 trial analysis has been growing fast in the last decades. A bibliometric survey in the SCOPUS 47 database revealed that in the last half-century (1969-2019) 6590 documents were published 48 in 902 sources (Journals, books, etc.) by 19.351 authors. In this period, the number of 49 publications has been increased on av...

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Path analysis of phenotypic traits in young cacao plants under drought conditions

Cited by 17 publications

References 34 publications

Correlations between fruit yield and sensory and nutritional quality of pumpkin (Cucurbita moschata Duch.)

Correlations between fruit yield and sensory and nutritional quality of pumpkin (Cucurbita moschata Duch.)

Seedling Performance of Cocoa Genotypes (Theobroma cacao L.) in Drought Stress Condition.

metan: an R package for multi-environment trial analysis

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