Description of the Relationships Between Different Plant Characteristics in Soybean Using Multivariate Adaptive Regression Splines (Mars) Algorithm

doi:10.36899/japs.2020.2.0037

Cited by 3 publications

(2 citation statements)

References 20 publications

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“…As can be seen from Table 3, it is seen that the live weight value has the highest relative importance (100%) in the estimation of carcass weight, both the GCV value and the RSS criterion (Eyduran et al 2019;Sevgenler 2019;Celik & Boydak 2020;Sengul et al 2020;Eyduran & Duman, 2020;Canga & Boga 2020).…”

Section: Table 2 Coefficients Of the Mars Model And Results Of Mars A...mentioning

confidence: 96%

“…Looking at Figure 3, it is seen that there is a positive relationship between the real and predicted values on the training and test set, respectively, according to the results of MARS analysis (r = 0.994). Thus, the two nodes in 585 and 737 divide the interval into three intervals in which different linear relationships are determined (Canga & Boga 2019;Eyduran et al 2019;Celik & Boydak, 2020). The results of the MARS algorithm for carcass yield are presented in Table 2.…”

Section: Resultsmentioning

confidence: 99%

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Use of Mars Data Mining Algorithm Based on Training and Test Sets in Determining Carcass Weight of Cattle in Different Breeds

Çanga¹

2021

Tarım Bilimleri Dergisi

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Section: Table 2 Coefficients Of the Mars Model And Results Of Mars A...mentioning

confidence: 96%

Section: Resultsmentioning

confidence: 99%

Use of Mars Data Mining Algorithm Based on Training and Test Sets in Determining Carcass Weight of Cattle in Different Breeds

Çanga¹

2021

Tarım Bilimleri Dergisi

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Prediction of Egg Weight Using MARS data mining Algorithm through R

Çanga

Yavuz

Efe

2021

Kahramanmaraş Sütçü İmam Üniversitesi Tarım Ve Doğa Dergisi

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Internal and external quality characters of poultry eggs are quitely important to determine egg weight. Also, the quality of eggs is important for both hatching and egg production. The purpose of this study was modelling of egg weight with the MARS (Multivariate Adaptive Regression Splines) method using inner and outsider quality characters of egg in Lohmann LSL Classic white hybrit flock. For this purpose, the eggs of the Lohmann LSL Classic white hybrid flock (n=60) were used. Weekly egg yields were evaluated from the 22nd week to the 62nd week. In the research, for the prediction of dependent and continuous variable egg weight; shape index (SI), shell breaking resistance (SBS), shell weight (SW), shell thickness (ST), yolk diameter (YD), yolk width (YW), yolk height (YH), color (YC ), albumen length (AW), albumen height (AL) and albumen height (AH) were used. In order to obtain perfect goodness of fit, in the "earth" package of the R program, the definitions of penalty -1, degree = 2, nprune = 10 and nk = 60. The research, the mars prediction model was determined such as EW = 63.1-0.906 * max (0,75-SI)-0.32 * max (0, SI-75) -62.4 * max (0,0.57-ST) -354 * max (0, ST-0.57) + 1.13 * Groupa2 * max (0, 75-SI) + 1.49 * (0.0.57-ST) max * YD + 8.2*max(0, ST 0.57) * YD-0.02*(0 YD-38.5)max* YC-0.0366*YH * max(0,13-YC). As a result, some quality variables were found to be important in determining egg weight. Variables such as group a2, SI, YC, ST, YD, YH to estimate the weight of the egg determined as the dependent variable were used. Other variables are not included in this equation. In the poultry, the MARS prediction model may be a better alternative to classical nonlinear models in predicting egg weight since that it is easier and has higher accuracy.

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Height to first pod: A review of genetic and breeding approaches to improve combine harvesting in legume crops

et al. 2022

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Height from soil at the base of plant to the first pod (HFP) is an important trait for mechanical harvesting of legume crops. To minimise the loss of pods, the HFP must be higher than that of the blades of most combine harvesters. Here, we review the genetic control, morphology, and variability of HFP in legumes and attempt to unravel the diverse terminology for this trait in the literature. HFP is directly related to node number and internode length but through different mechanisms. The phenotypic diversity and heritability of HFP and their correlations with plant height are very high among studied legumes. Only a few publications describe a QTL analysis where candidate genes for HFP with confirmed gene expression have been mapped. They include major QTLs with eight candidate genes for HFP, which are involved in auxin transport and signal transduction in soybean [Glycine max (L.) Merr.] as well as MADS box gene SOC1 in Medicago trancatula, and BEBT or WD40 genes located nearby in the mapped QTL in common bean (Phaseolus vulgaris L.). There is no information available about simple and efficient markers associated with HFP, which can be used for marker-assisted selection for this trait in practical breeding, which is still required in the nearest future. To our best knowledge, this is the first review to focus on this significant challenge in legume-based cropping systems. KEYWORDS auxin transport and signal transduction genes, BEBT or WD40 genes, candidate genes, gene expression, height to the first pod, MADS box gene SOC1, QTL analysis Frontiers in Plant Science 01 frontiersin.org Kuzbakova et al. 10.3389/fpls.2022.948099 In contrast, as shown in the bottom part of Table 1, many reports in the literature use the same or similar terms for 'pods, ' where FPH (first pod height) is clearly the most commonly used, while the terms for 'bottom, ' 'lowest, ' and 'basal' pods are synonymous. Interestingly, terms referring to 'pod insertion' were used by almost all researchers from Brazil (with one Frontiers in Plant Science 03 frontiersin.org

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Description of the Relationships Between Different Plant Characteristics in Soybean Using Multivariate Adaptive Regression Splines (Mars) Algorithm

Cited by 3 publications

References 20 publications

Use of Mars Data Mining Algorithm Based on Training and Test Sets in Determining Carcass Weight of Cattle in Different Breeds

Use of Mars Data Mining Algorithm Based on Training and Test Sets in Determining Carcass Weight of Cattle in Different Breeds

Prediction of Egg Weight Using MARS data mining Algorithm through R

Height to first pod: A review of genetic and breeding approaches to improve combine harvesting in legume crops

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