Development of the Nondestructive Leaf Area Estimation Model for Valeriana (Valeriana jatamansi Jones)

Walia, Shanka; Kumar, Rakesh

doi:10.1080/00103624.2016.1253723

Cited by 10 publications

(6 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similar results were verified by Teixeira et al (2012), Teixeira et al (2013) and Schmildt et al (2015), which found values of 0.88 between leaf length and leaf width from the fourth leaf pair for 269 C. arabica plant materials. The leaf surface of a coffee plant is an indicative for the crop yield potential, wherein larger leaf areas implies in larger surfaces for light interception, which may result in higher photosynthetic rates and carbohydrates availability to coffee development (Valadares et al, 2016;Walia and Kumar, 2016). Therefore, breeding programs should choose plant materials with larger leaves.…”

Section: Resultsmentioning

confidence: 99%

Research Article Biometric traits as a tool for the identification and breeding of Coffea canephora genotypes

Dubberstein¹,

Partelli²,

Guilhen³

et al. 2020

Genet. Mol. Res.

View full text Add to dashboard Cite

Cross-pollination and gametophytic selfincompatibility reduce the stability of Coffea canephora genotypes. This is an important crop for Brazil, the largest producer of this type of coffee and also a major exporter. The study of biometric characteristics is essential to assist in the selection of promising plant materials. We examined the diversity of morpho-agronomic traits of genotypes of C. canephora cv. Conilon through the evaluation of branch and leaf parameters. Assessments included plagiotropic ©FUNPEC-RP www.funpecrp.com.br Genetics and Molecular Research 19 (2): gmr18541 D. Dubberstein et al. 2branch length, number of nodes in plagiotropic branches, distance between nodes in plagiotropic branches, orthotropic branch length, number of nodes in orthotropic branch, distance between nodes in orthotropic branch, plant height, canopy diameter, leaf length, leaf width, and leaf area in two periods. The data from the 43 coffee genotypes were tested by multivariate and cluster analyses. Six groups were formed by the Tocher optimization method, and five groups by the unweighted pair group method with arithmetic mean (UPGMA) hierarchical method, suggesting an important genetic variability among plant materials. Both Tocher optimization and UPGMA hierarchical methods were consistent for clustering the genotypes, ordering them in six and five dissimilar groups, respectively, with genotypes 25 and 37 standing out with the greatest dissimilarity, constituting isolated groups by both methods. Pearson's correlation ranged from very weak to very strong, positive and negative, among the characteristics, as also shown by principal component analyses. These analyses indicated the morpho-agronomic traits with a greater degree of correlation, assisting in the choice of promising plant materials. The genetic parameters estimates demonstrate genetic variability and thus breeding potential within the Conilon coffee genotypes studied. These results emphasize the usefulness of biometric evaluations as a tool for the identification and breeding of genotypes to compose new Conilon coffee cultivars.

show abstract

Section: Resultsmentioning

confidence: 99%

Research Article Biometric traits as a tool for the identification and breeding of Coffea canephora genotypes

Dubberstein¹,

Partelli²,

Guilhen³

et al. 2020

Genet. Mol. Res.

View full text Add to dashboard Cite

show abstract

“…However, a model must not be selected only for the high value of R 2 , during the modeling, but by the interpretation of all the statistical measures of validation from an independent sample of that used for modeling (Bosco et al, 2012;Fascella, Darwich, & Rouphael, 2013;Schmildt et al, 2016;Walia & Kumar, 2017). The validation made from the sample of garden boldo leaves verified that from the 12 adjusted equations, only those that used LW as an independent variable in the linear, quadratic and power models are suitable, according to the criteria of statistically linear coefficient equal to zero and statistically angular coefficient equal to one (Figure 2).…”

Section: Resultsmentioning

confidence: 99%

“…Leaf area modeling has been performed for medicinal species such as juazeiro (Zizyphus joazeiro Mart) (Maracajá, Madalena, Araújo, Lima, & Linhares, 2008), mofumbo (Combretum leprosum Mart) (Candido, Coelho, Maia, Cunha, & Silva, 2013), Bauhinia monandra Kurz (Schmildt, Schmildt, Alexandre, Fernandes, & Czepak, 2016), Valerian (Valeriana jatamansi Jones) (Walia & Kumar, 2017) and boldo (Plectranthus ornatus) (Silva, Pereira, Cabanez, Mendonça, & Amaral, 2017). However, we did not find in the literature any equation to estimate the leaf area of garden boldo (Plectranthus barbatus Andrews).…”

Section: Introductionmentioning

confidence: 99%

Leaf Area Estimation of Garden Boldo From Linear Dimensions

Ribeiro¹,

Mundim²,

Mendonça³

et al. 2019

JAS

View full text Add to dashboard Cite

The objective of this work was to determine a mathematical equation using linear measures that allows estimating a leaf area of the specie Plectranthus barbatus Andrews, a plant with medicinal properties popularly known as garden boldo. For this was performed a direct measurement of the leaf blade considering the length (L) along the midrib and the maximum width (W) perpendicular to the midrib of 500 leaves of different specimens and the observed foliar area (OLA), which were obtained by digitized images. A regression study with linear, quadratic, potential and exponential models was performed using a random sample of 400 from the evaluated leaves using OLA as a function of L, W or LW and then obtaining the estimated leaf area (ELA) of each model. From the remaining 100 leaves a validation of the tested models was performed using ELA as a function of OLA in a simple linear regression. From the residues between ELA and OLA the root-square-mean error and Willmot index (d) was obtained and the normality was verified. The parameters used for validation were: statistically linear and angular coefficient equal to zero and one respectively; coefficient of determination closest to the unit; RQME closer to zero; d index closest to the unit; normal distribution of residues. The equation that best represents the estimated leaf area of the garden boldo is ELA = 0.1389 + 0.6779 (LW).

show abstract

“…More recent leaf area estimation models were considered and aware of the two-dimensional nature of leaf; however, most still used a simple regression model (Walia and Kumar 2017;Fascella et al 2018), without zeroing the intercept. Most simple regression and other models have serious bias in estimating leaf area of smaller size leaves, culminated at point if L = 0 and/or W = 0.…”

Section: Justifying Zero Intercept Regression Modelsmentioning

confidence: 99%

Acclimating leaf celery plant (Apium graveolens) via bottom wet culture for increasing its adaptability to tropical riparian wetland ecosystem

et al. 2020

View full text Add to dashboard Cite

Abstract. Lakitan B, Kartika, Susilawati, Wijaya A. 2021. Acclimating leaf celery plant (Apium graveolens) via bottom wet culture to increase its adaptability to the tropical riparian wetland ecosystem. Biodiversitas 22: 320-328. Bottom-wet culture was set up for acclimating leaf celery plant prior to cultivation at shallow water table conditions. The aim of this research was to evaluate adaptability of leaf celery plants to riparian wetland ecosystem. Leaf celery was selected as potential candidate since natural habitat of its wild relatives is marshlands. Shading at 0%, 20%, and 60% was applied to reduced tropical sunlight intensity. Results of this study indicated that soil moisture was significantly increased in plants exposed to 60% shading, but leaf SPAD value was not significantly affected. Leaf celery is a perennial vegetable that can be frequently harvested. Weekly harvesting was rewarded with optimum yield and good quality leaves, i.e. high SPAD value (45.73 to 51.89). Delaying harvest to 3 weeks increased total yield but 52.12% of the harvested leaves were non-marketable. Mother plant of leaf celery produced suckers, but number of suckers only moderately correlated with yield (R2 = 0.56). Plants exposed to 60% shading produced significantly less suckers (9.00) than those exposed to full sunlight (12.46) and 20% shading (12.88) Use of zero intercept linear regression model, with length of leaf midrib (LLM) x leaf wingspan (LWS) as predictor, resulted in a geometrically based and accurate leaf area estimation model (LA = 0.3431(LLM x LWS); R2 = 0.87) for compound leaves of leaf celery plant. In conclusion, the most crucial factor in optimizing quantity and quality of yield was weekly harvesting focusing on marketable-size leaves.

show abstract

Development of the Nondestructive Leaf Area Estimation Model for Valeriana (Valeriana jatamansi Jones)

Cited by 10 publications

References 25 publications

Research Article Biometric traits as a tool for the identification and breeding of <i>Coffea</i> <i>canephora</i> genotypes

Research Article Biometric traits as a tool for the identification and breeding of <i>Coffea</i> <i>canephora</i> genotypes

Leaf Area Estimation of Garden Boldo From Linear Dimensions

Acclimating leaf celery plant (Apium graveolens) via bottom wet culture for increasing its adaptability to tropical riparian wetland ecosystem

Contact Info

Product

Resources

About